Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is looking for a Strategic Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class Voice AI platform that has been enabling our customers to achieve things previously not attainable with voice. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!
We are looking for one person to be in the Chicago area or at least the midwest area for customer on site meetings and presence!
What You'll Do
Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing, SDR, and Partner teams to generate meetings
Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness
Have a depth of understanding regarding customer needs in the STT, TTS, and Voice Agent space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully
Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing
You’ll Love This Role If You
Value having leadership that has tenure and a track record of success
Thrive working with A Players as cross-functional partners across GTM
Understand the importance of selling a product that is market validated and can deliver on its technical promise
Believe there should be no cap to upside and want control of account up-sell potential
Are passionate about what Deepgram is building and how we are changing what is possible with speech
It’s Important to Us That You Have
Proven 7-12 + years of experience experience in a technical full-cycle sales role
Proven experience managing complex Enterprise and/or Strategic partner new deal cycles and expansion relationships
Experience building your own pipeline and closing accounts
Consistent overachievement against sales targets in past experiences
Strong written and verbal communication skills
Empathy and a unique ability to understand customer needs
Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time
Ability to drive a consistent and repeatable sales process
It Would Be Great If You Had
Familiarity with Challenger or Triangle sales methodology
Experience selling to a technical audience in a similar space
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is looking for a Strategic Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class Voice AI platform that has been enabling our customers to achieve things previously not attainable with voice. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!\n\nWe are looking for one person to be in the Chicago area or at least the midwest area for customer on site meetings and presence! \n\n\nWhat You'll Do\n\n - Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing, SDR, and Partner teams to generate meetings\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the STT, TTS, and Voice Agent space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully\n\n - Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing\n\n\nYou’ll Love This Role If You\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Believe there should be no cap to upside and want control of account up-sell potential\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n\nIt’s Important to Us That You Have\n\n - Proven 7-12 + years of experience experience in a technical full-cycle sales role\n\n - Proven experience managing complex Enterprise and/or Strategic partner new deal cycles and expansion relationships\n\n - Experience building your own pipeline and closing accounts\n\n - Consistent overachievement against sales targets in past experiences\n\n - Strong written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time\n\n - Ability to drive a consistent and repeatable sales process\n\n\nIt Would Be Great If You Had\n\n - Familiarity with Challenger or Triangle sales methodology\n\n - Experience selling to a technical audience in a similar space\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$325K – $370K • Offers Equity","scrapeableCompensationSalarySummary":"$325K - $370K","compensationTiers":[{"id":"54ee265b-b8f8-449e-b786-69aabd173ef4","tierSummary":"OTE $325K – $370K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"17214e83-79cf-478f-a3f7-2513592b22b3","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"ef39e8eb-0c11-4d22-9c10-c45a23edddfe","summary":"OTE $325K – $370K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":325000,"maxValue":370000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":325000,"maxValue":370000}]}},{"id":"7cf277bc-a192-4007-a77a-fafbf8276a5e","title":"Research Staff, Voice AI Foundations","department":"Research","team":"Research","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"Ann Arbor, Michigan","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Ann Arbor"}}}],"publishedAt":"2026-08-23T17:43:40.888+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/7cf277bc-a192-4007-a77a-fafbf8276a5e","applyUrl":"https://jobs.ashbyhq.com/deepgram/7cf277bc-a192-4007-a77a-fafbf8276a5e/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.
As a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems:
Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio.
Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech.
Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”.
Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio. Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives.
Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations.
We are seeking researchers who:
See \"unsolved\" problems as opportunities to pioneer entirely new approaches
Can identify the one critical experiment that will validate or kill an idea in days, not months
Have the vision to scale successful proofs-of-concept 100x
Are obsessed with using AI to automate and amplify your own impact
If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.
Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning
Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities
Proven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficiently
Demonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversity
Track record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insights
Experience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniques
History of open-source contributions or research publications that have advanced the state of the art in speech/language AI
An ideal researcher, as evidenced by the recurring themes across these foundational papers, excels in five key areas: (1) Statistical & Mathematical Foundations, (2) Algorithmic Innovation & Implementation, (3) Data-Driven & Scalable Systems, (4) Hardware & Systems Understanding, and (5) Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models.
Mastery of Core Concepts
Many papers, like Scaling Laws for Neural Language Models and Neural Discrete Representation Learning (VQ-VAE), reflect the importance of power-law analyses, derivation of novel losses, or adaptation of fundamental equations (e.g., in VQ-VAE's commitment loss or rectified flows in Scaling Rectified Flow Transformers). Such mathematical grounding clarifies why models converge or suffer collapse.
Combining Existing Theories in Novel Ways
Papers such as Moshi (combining text modeling, audio codecs, and hierarchical generative modeling) and Finite Scalar Quantization (FSQ's adaptation of classic scalar quantization to replace vector-quantized representations) show how reusing but reimagining known techniques can yield breakthroughs. Many references (e.g., the structured state-space duality in Transformers are SSMs) underscore how unifying previously separate research lines can reveal powerful algorithmic or theoretical insights.
Logical Reasoning and Assumption Testing
Across all papers—particularly in the problem statements of Whisper or Rectified Flow Transformers—the authors present assumptions (e.g., \"scaling data leads to zero-shot robustness\" or \"straight-line noise injection improves sample efficiency\") and systematically verify them with thorough empirical results. An ideal researcher similarly grounds new ideas in well-formed, testable hypotheses.
Creative Solutions to Known Bottlenecks
Each paper puts forth a unique algorithmic contribution—Rectified Flow Transformers redefines standard diffusion paths, FSQ proposes simpler scalar quantizations contrasted with VQ, phi-3 mini relies on curated data and blocksparse attention, and Mamba-2 merges SSM speed with attention concepts.
Turning Theory into Practice
Whether it's the direct preference optimization (DPO) for alignment in phi-3 or the residual vector quantization in SoundStream, these works show that bridging design insights with implementable prototypes is essential.
Clear Impact Through Prototypes & Open-Source
Many references (Whisper, neural discrete representation learning, Mamba-2) highlight releasing code or pretrained models, enabling the broader community to replicate and build upon new methods. This premise of collaboration fosters faster progress.
Emphasis on Large-Scale Data and Efficient Pipelines
Papers such as Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) and BASE TTS demonstrate that collecting and processing hundreds of thousands of hours of real-world audio can unlock new capabilities in zero-shot or low-resource domains. Meanwhile, phi-3 Technical Report shows that filtering and curating data at scale (e.g., \"data optimal regime\") can yield high performance even in smaller models.
Strategic Use of Data for Staged Training
A recurring strategy is to vary sources of data or the order of tasks. Whisper trains on multilingual tasks, BASE TTS uses subsets/stages for pretraining on speech tokens, and phi-3 deploys multiple training phases (web data, then synthetic data). This systematic approach to data underscores how an ideal researcher designs training curricula and data filtering protocols for maximum performance.
Efficient Implementations at Scale
Many works illustrate how researchers tune architectures for modern accelerators: the In-Datacenter TPU paper exemplifies domain-specific hardware design for dense matrix multiplications, while phi-3 leverages blocksparse attention and custom Triton kernels to run advanced LLMs on resource-limited devices.
Real-Time & On-Device Constraints
SoundStream shows how to compress audio in real time on a smartphone CPU, demonstrating that knowledge of hardware constraints (latency, limited memory) drives design choices. Similarly, Moshi's low-latency streaming TTS and phi-3-mini's phone-based inference highlight that an ideal researcher must adapt algorithms to resource limits while maintaining robustness.
Architectural & Optimization Details
Papers like Mamba-2 in Transformers are SSMs and the In-Datacenter TPU work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency.
Controlled Comparisons & Ablations
Nearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual components (e.g., ablation on vector-quantization vs. scalar quantization in FSQ, or size of codebooks in VQ-VAEs). This approach reveals which design decisions truly matter.
Multifold Evaluation Metrics
From MUSHRA listening tests (SoundStream, BASE TTS) to FID in image synthesis (Scaling Rectified Flow Transformers, FSQ) to perplexity or zero-shot generalization in language (phi-3, Scaling Laws for Neural Language Models), the works demonstrate the value of comprehensive, carefully chosen metrics.
Stress Tests & Edge Cases
Whisper's out-of-distribution speech benchmarks, SoundStream's evaluation on speech + music, or Mamba-2's performance on multi-query associative recall demonstrate the importance of specialized challenge sets. Researchers who craft or adopt rigorous benchmarks and \"red-team\" their models (as in phi-3 safety alignment) are better prepared to address real-world complexities.
Overall, an ideal researcher in deep learning consistently demonstrates:
A solid grounding in theoretical and statistical principles
A talent for proposing and validating new algorithmic solutions
The capacity to orchestrate data pipelines that scale and reflect real-world diversity
Awareness of hardware constraints and system-level trade-offs for efficiency
Thorough and transparent experimental practices
These qualities surface across research on speech (Whisper, BASE TTS), language modeling (Scaling Laws, phi-3), specialized hardware (TPU, Transformers are SSMs), and new representation methods (VQ-VAE, FSQ, SoundStream). By balancing these attributes—rigorous math, innovative algorithms, large-scale data engineering, hardware-savvy optimizations, and reproducible experimentation—researchers can produce impactful, trustworthy advancements in foundational deep learning.
This job description was generated through analysis of the following papers:
Robust Speech Recognition via Large-Scale Weak Supervision (arXiv:2212.04356)
Moshi: a speech-text foundation model for real-time dialogue (arXiv:2410.00037)
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (arXiv:2403.03206)
Scaling Laws for Neural Language Models (arXiv:2001.08361)
BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (arXiv:2402.08093)
In-Datacenter Performance Analysis of a Tensor Processing Unit (arXiv:1704.04760)
Neural Discrete Representation Learning (arXiv:1711.00937)
SoundStream: An End-to-End Neural Audio Codec (arXiv:2107.03312)
Finite Scalar Quantization: VQ-VAE Made Simple (arXiv:2309.15505)
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (arXiv:2404.14219)
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality (arXiv:2405.21060)
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.\n\n\n\nTHE ROLE\n\nAs a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems:\n\n\n\n - Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio.\n\n - Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech.\n\n - Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”.\n\n - Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio. Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives. \n\n - Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations.\n\n\n\n\nTHE CHALLENGE\n\nWe are seeking researchers who:\n\n - See \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\n - Can identify the one critical experiment that will validate or kill an idea in days, not months\n\n - Have the vision to scale successful proofs-of-concept 100x\n\n - Are obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning\n\n - Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities\n\n - Proven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficiently\n\n - Demonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversity\n\n - Track record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insights\n\n - Experience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniques\n\n - History of open-source contributions or research publications that have advanced the state of the art in speech/language AI\n\n\n\nIDEAL RESEARCHER PROFILE\n\nAn ideal researcher, as evidenced by the recurring themes across these foundational papers, excels in five key areas: (1) Statistical & Mathematical Foundations, (2) Algorithmic Innovation & Implementation, (3) Data-Driven & Scalable Systems, (4) Hardware & Systems Understanding, and (5) Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models.\n\n\n\n\n1. STATISTICAL & MATHEMATICAL FOUNDATIONS\n\nMastery of Core Concepts\n\nMany papers, like Scaling Laws for Neural Language Models and Neural Discrete Representation Learning (VQ-VAE), reflect the importance of power-law analyses, derivation of novel losses, or adaptation of fundamental equations (e.g., in VQ-VAE's commitment loss or rectified flows in Scaling Rectified Flow Transformers). Such mathematical grounding clarifies why models converge or suffer collapse.\n\n\n\nCombining Existing Theories in Novel Ways\n\nPapers such as Moshi (combining text modeling, audio codecs, and hierarchical generative modeling) and Finite Scalar Quantization (FSQ's adaptation of classic scalar quantization to replace vector-quantized representations) show how reusing but reimagining known techniques can yield breakthroughs. Many references (e.g., the structured state-space duality in Transformers are SSMs) underscore how unifying previously separate research lines can reveal powerful algorithmic or theoretical insights.\n\n\n\nLogical Reasoning and Assumption Testing\n\nAcross all papers—particularly in the problem statements of Whisper or Rectified Flow Transformers—the authors present assumptions (e.g., \"scaling data leads to zero-shot robustness\" or \"straight-line noise injection improves sample efficiency\") and systematically verify them with thorough empirical results. An ideal researcher similarly grounds new ideas in well-formed, testable hypotheses.\n\n\n\n2. ALGORITHMIC INNOVATION & IMPLEMENTATION\n\nCreative Solutions to Known Bottlenecks\n\nEach paper puts forth a unique algorithmic contribution—Rectified Flow Transformers redefines standard diffusion paths, FSQ proposes simpler scalar quantizations contrasted with VQ, phi-3 mini relies on curated data and blocksparse attention, and Mamba-2 merges SSM speed with attention concepts.\n\n\n\nTurning Theory into Practice\n\nWhether it's the direct preference optimization (DPO) for alignment in phi-3 or the residual vector quantization in SoundStream, these works show that bridging design insights with implementable prototypes is essential.\n\n\n\nClear Impact Through Prototypes & Open-Source\n\nMany references (Whisper, neural discrete representation learning, Mamba-2) highlight releasing code or pretrained models, enabling the broader community to replicate and build upon new methods. This premise of collaboration fosters faster progress.\n\n\n\n3. DATA-DRIVEN & SCALABLE SYSTEMS\n\nEmphasis on Large-Scale Data and Efficient Pipelines\n\nPapers such as Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) and BASE TTS demonstrate that collecting and processing hundreds of thousands of hours of real-world audio can unlock new capabilities in zero-shot or low-resource domains. Meanwhile, phi-3 Technical Report shows that filtering and curating data at scale (e.g., \"data optimal regime\") can yield high performance even in smaller models.\n\n\n\nStrategic Use of Data for Staged Training\n\nA recurring strategy is to vary sources of data or the order of tasks. Whisper trains on multilingual tasks, BASE TTS uses subsets/stages for pretraining on speech tokens, and phi-3 deploys multiple training phases (web data, then synthetic data). This systematic approach to data underscores how an ideal researcher designs training curricula and data filtering protocols for maximum performance.\n\n\n\n4. HARDWARE & SYSTEMS UNDERSTANDING\n\nEfficient Implementations at Scale\n\nMany works illustrate how researchers tune architectures for modern accelerators: the In-Datacenter TPU paper exemplifies domain-specific hardware design for dense matrix multiplications, while phi-3 leverages blocksparse attention and custom Triton kernels to run advanced LLMs on resource-limited devices.\n\n\n\nReal-Time & On-Device Constraints\n\nSoundStream shows how to compress audio in real time on a smartphone CPU, demonstrating that knowledge of hardware constraints (latency, limited memory) drives design choices. Similarly, Moshi's low-latency streaming TTS and phi-3-mini's phone-based inference highlight that an ideal researcher must adapt algorithms to resource limits while maintaining robustness.\n\n\n\nArchitectural & Optimization Details\n\nPapers like Mamba-2 in Transformers are SSMs and the In-Datacenter TPU work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency.\n\n\n\n5. RIGOROUS EXPERIMENTAL DESIGN\n\nControlled Comparisons & Ablations\n\nNearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual components (e.g., ablation on vector-quantization vs. scalar quantization in FSQ, or size of codebooks in VQ-VAEs). This approach reveals which design decisions truly matter.\n\n\n\nMultifold Evaluation Metrics\n\nFrom MUSHRA listening tests (SoundStream, BASE TTS) to FID in image synthesis (Scaling Rectified Flow Transformers, FSQ) to perplexity or zero-shot generalization in language (phi-3, Scaling Laws for Neural Language Models), the works demonstrate the value of comprehensive, carefully chosen metrics.\n\n\n\nStress Tests & Edge Cases\n\nWhisper's out-of-distribution speech benchmarks, SoundStream's evaluation on speech + music, or Mamba-2's performance on multi-query associative recall demonstrate the importance of specialized challenge sets. Researchers who craft or adopt rigorous benchmarks and \"red-team\" their models (as in phi-3 safety alignment) are better prepared to address real-world complexities.\n\n\n\n\nSUMMARY\n\nOverall, an ideal researcher in deep learning consistently demonstrates:\n\n - A solid grounding in theoretical and statistical principles\n\n - A talent for proposing and validating new algorithmic solutions\n\n - The capacity to orchestrate data pipelines that scale and reflect real-world diversity\n\n - Awareness of hardware constraints and system-level trade-offs for efficiency\n\n - Thorough and transparent experimental practices\n\n\n\nThese qualities surface across research on speech (Whisper, BASE TTS), language modeling (Scaling Laws, phi-3), specialized hardware (TPU, Transformers are SSMs), and new representation methods (VQ-VAE, FSQ, SoundStream). By balancing these attributes—rigorous math, innovative algorithms, large-scale data engineering, hardware-savvy optimizations, and reproducible experimentation—researchers can produce impactful, trustworthy advancements in foundational deep learning.\n\n\n\n\n\nFOUNDATIONAL PAPERS\n\nThis job description was generated through analysis of the following papers:\n\n - Robust Speech Recognition via Large-Scale Weak Supervision (arXiv:2212.04356)\n\n - Moshi: a speech-text foundation model for real-time dialogue (arXiv:2410.00037)\n\n - Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (arXiv:2403.03206)\n\n - Scaling Laws for Neural Language Models (arXiv:2001.08361)\n\n - BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (arXiv:2402.08093)\n\n - In-Datacenter Performance Analysis of a Tensor Processing Unit (arXiv:1704.04760)\n\n - Neural Discrete Representation Learning (arXiv:1711.00937)\n\n - SoundStream: An End-to-End Neural Audio Codec (arXiv:2107.03312)\n\n - Finite Scalar Quantization: VQ-VAE Made Simple (arXiv:2309.15505)\n\n - Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (arXiv:2404.14219)\n\n - Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality (arXiv:2405.21060)\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$150K – $250K • Offers Equity • Offers Bonus • 10% Annual Bonus","scrapeableCompensationSalarySummary":"$150K - $250K","compensationTiers":[{"id":"bc354414-2327-4169-97ea-cd60a0319cc4","tierSummary":"Estimated Base Salary $150K – $250K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":null,"additionalInformation":"10% Annual Bonus","components":[{"id":"ecd93a5a-e765-44fd-a16a-95ca7ab10da6","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"0e0d5e86-2d3d-4ae6-ab9a-80b767327d41","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"b333353a-77d9-4c19-b3a4-ce21dfc13978","summary":"Estimated Base Salary $150K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":250000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":250000}]}},{"id":"1518fd8f-7e9d-4712-9e6b-a7e10ba25bdd","title":"Research Staff, Voice AI Foundations - Remote","department":"Research","team":"Research","employmentType":"FullTime","location":"The Netherlands","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-10T23:22:04.170+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"Netherlands","addressLocality":"Amsterdam"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/1518fd8f-7e9d-4712-9e6b-a7e10ba25bdd","applyUrl":"https://jobs.ashbyhq.com/deepgram/1518fd8f-7e9d-4712-9e6b-a7e10ba25bdd/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.
As a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems:
Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio.
Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech.
Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”.
Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio. Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives.
Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations.
We are seeking researchers who:
See \"unsolved\" problems as opportunities to pioneer entirely new approaches
Can identify the one critical experiment that will validate or kill an idea in days, not months
Have the vision to scale successful proofs-of-concept 100x
Are obsessed with using AI to automate and amplify your own impact
If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.
Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning
Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities
Proven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficiently
Demonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversity
Track record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insights
Experience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniques
History of open-source contributions or research publications that have advanced the state of the art in speech/language AI
An ideal researcher, as evidenced by the recurring themes across these foundational papers, excels in five key areas: (1) Statistical & Mathematical Foundations, (2) Algorithmic Innovation & Implementation, (3) Data-Driven & Scalable Systems, (4) Hardware & Systems Understanding, and (5) Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models.
Mastery of Core Concepts
Many papers, like Scaling Laws for Neural Language Models and Neural Discrete Representation Learning (VQ-VAE), reflect the importance of power-law analyses, derivation of novel losses, or adaptation of fundamental equations (e.g., in VQ-VAE's commitment loss or rectified flows in Scaling Rectified Flow Transformers). Such mathematical grounding clarifies why models converge or suffer collapse.
Combining Existing Theories in Novel Ways
Papers such as Moshi (combining text modeling, audio codecs, and hierarchical generative modeling) and Finite Scalar Quantization (FSQ's adaptation of classic scalar quantization to replace vector-quantized representations) show how reusing but reimagining known techniques can yield breakthroughs. Many references (e.g., the structured state-space duality in Transformers are SSMs) underscore how unifying previously separate research lines can reveal powerful algorithmic or theoretical insights.
Logical Reasoning and Assumption Testing
Across all papers—particularly in the problem statements of Whisper or Rectified Flow Transformers—the authors present assumptions (e.g., \"scaling data leads to zero-shot robustness\" or \"straight-line noise injection improves sample efficiency\") and systematically verify them with thorough empirical results. An ideal researcher similarly grounds new ideas in well-formed, testable hypotheses.
Creative Solutions to Known Bottlenecks
Each paper puts forth a unique algorithmic contribution—Rectified Flow Transformers redefines standard diffusion paths, FSQ proposes simpler scalar quantizations contrasted with VQ, phi-3 mini relies on curated data and blocksparse attention, and Mamba-2 merges SSM speed with attention concepts.
Turning Theory into Practice
Whether it's the direct preference optimization (DPO) for alignment in phi-3 or the residual vector quantization in SoundStream, these works show that bridging design insights with implementable prototypes is essential.
Clear Impact Through Prototypes & Open-Source
Many references (Whisper, neural discrete representation learning, Mamba-2) highlight releasing code or pretrained models, enabling the broader community to replicate and build upon new methods. This premise of collaboration fosters faster progress.
Emphasis on Large-Scale Data and Efficient Pipelines
Papers such as Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) and BASE TTS demonstrate that collecting and processing hundreds of thousands of hours of real-world audio can unlock new capabilities in zero-shot or low-resource domains. Meanwhile, phi-3 Technical Report shows that filtering and curating data at scale (e.g., \"data optimal regime\") can yield high performance even in smaller models.
Strategic Use of Data for Staged Training
A recurring strategy is to vary sources of data or the order of tasks. Whisper trains on multilingual tasks, BASE TTS uses subsets/stages for pretraining on speech tokens, and phi-3 deploys multiple training phases (web data, then synthetic data). This systematic approach to data underscores how an ideal researcher designs training curricula and data filtering protocols for maximum performance.
Efficient Implementations at Scale
Many works illustrate how researchers tune architectures for modern accelerators: the In-Datacenter TPU paper exemplifies domain-specific hardware design for dense matrix multiplications, while phi-3 leverages blocksparse attention and custom Triton kernels to run advanced LLMs on resource-limited devices.
Real-Time & On-Device Constraints
SoundStream shows how to compress audio in real time on a smartphone CPU, demonstrating that knowledge of hardware constraints (latency, limited memory) drives design choices. Similarly, Moshi's low-latency streaming TTS and phi-3-mini's phone-based inference highlight that an ideal researcher must adapt algorithms to resource limits while maintaining robustness.
Architectural & Optimization Details
Papers like Mamba-2 in Transformers are SSMs and the In-Datacenter TPU work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency.
Controlled Comparisons & Ablations
Nearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual components (e.g., ablation on vector-quantization vs. scalar quantization in FSQ, or size of codebooks in VQ-VAEs). This approach reveals which design decisions truly matter.
Multifold Evaluation Metrics
From MUSHRA listening tests (SoundStream, BASE TTS) to FID in image synthesis (Scaling Rectified Flow Transformers, FSQ) to perplexity or zero-shot generalization in language (phi-3, Scaling Laws for Neural Language Models), the works demonstrate the value of comprehensive, carefully chosen metrics.
Stress Tests & Edge Cases
Whisper's out-of-distribution speech benchmarks, SoundStream's evaluation on speech + music, or Mamba-2's performance on multi-query associative recall demonstrate the importance of specialized challenge sets. Researchers who craft or adopt rigorous benchmarks and \"red-team\" their models (as in phi-3 safety alignment) are better prepared to address real-world complexities.
Overall, an ideal researcher in deep learning consistently demonstrates:
A solid grounding in theoretical and statistical principles
A talent for proposing and validating new algorithmic solutions
The capacity to orchestrate data pipelines that scale and reflect real-world diversity
Awareness of hardware constraints and system-level trade-offs for efficiency
Thorough and transparent experimental practices
These qualities surface across research on speech (Whisper, BASE TTS), language modeling (Scaling Laws, phi-3), specialized hardware (TPU, Transformers are SSMs), and new representation methods (VQ-VAE, FSQ, SoundStream). By balancing these attributes—rigorous math, innovative algorithms, large-scale data engineering, hardware-savvy optimizations, and reproducible experimentation—researchers can produce impactful, trustworthy advancements in foundational deep learning.
This job description was generated through analysis of the following papers:
Robust Speech Recognition via Large-Scale Weak Supervision (arXiv:2212.04356)
Moshi: a speech-text foundation model for real-time dialogue (arXiv:2410.00037)
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (arXiv:2403.03206)
Scaling Laws for Neural Language Models (arXiv:2001.08361)
BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (arXiv:2402.08093)
In-Datacenter Performance Analysis of a Tensor Processing Unit (arXiv:1704.04760)
Neural Discrete Representation Learning (arXiv:1711.00937)
SoundStream: An End-to-End Neural Audio Codec (arXiv:2107.03312)
Finite Scalar Quantization: VQ-VAE Made Simple (arXiv:2309.15505)
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (arXiv:2404.14219)
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality (arXiv:2405.21060)
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.\n\n\n\nTHE ROLE\n\nAs a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems:\n\n\n\n - Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio.\n\n - Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech.\n\n - Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”.\n\n - Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio. Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives. \n\n - Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations.\n\n\n\n\nTHE CHALLENGE\n\nWe are seeking researchers who:\n\n - See \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\n - Can identify the one critical experiment that will validate or kill an idea in days, not months\n\n - Have the vision to scale successful proofs-of-concept 100x\n\n - Are obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning\n\n - Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities\n\n - Proven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficiently\n\n - Demonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversity\n\n - Track record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insights\n\n - Experience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniques\n\n - History of open-source contributions or research publications that have advanced the state of the art in speech/language AI\n\n\n\nIDEAL RESEARCHER PROFILE\n\nAn ideal researcher, as evidenced by the recurring themes across these foundational papers, excels in five key areas: (1) Statistical & Mathematical Foundations, (2) Algorithmic Innovation & Implementation, (3) Data-Driven & Scalable Systems, (4) Hardware & Systems Understanding, and (5) Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models.\n\n\n\n\n1. STATISTICAL & MATHEMATICAL FOUNDATIONS\n\nMastery of Core Concepts\n\nMany papers, like Scaling Laws for Neural Language Models and Neural Discrete Representation Learning (VQ-VAE), reflect the importance of power-law analyses, derivation of novel losses, or adaptation of fundamental equations (e.g., in VQ-VAE's commitment loss or rectified flows in Scaling Rectified Flow Transformers). Such mathematical grounding clarifies why models converge or suffer collapse.\n\n\n\nCombining Existing Theories in Novel Ways\n\nPapers such as Moshi (combining text modeling, audio codecs, and hierarchical generative modeling) and Finite Scalar Quantization (FSQ's adaptation of classic scalar quantization to replace vector-quantized representations) show how reusing but reimagining known techniques can yield breakthroughs. Many references (e.g., the structured state-space duality in Transformers are SSMs) underscore how unifying previously separate research lines can reveal powerful algorithmic or theoretical insights.\n\n\n\nLogical Reasoning and Assumption Testing\n\nAcross all papers—particularly in the problem statements of Whisper or Rectified Flow Transformers—the authors present assumptions (e.g., \"scaling data leads to zero-shot robustness\" or \"straight-line noise injection improves sample efficiency\") and systematically verify them with thorough empirical results. An ideal researcher similarly grounds new ideas in well-formed, testable hypotheses.\n\n\n\n2. ALGORITHMIC INNOVATION & IMPLEMENTATION\n\nCreative Solutions to Known Bottlenecks\n\nEach paper puts forth a unique algorithmic contribution—Rectified Flow Transformers redefines standard diffusion paths, FSQ proposes simpler scalar quantizations contrasted with VQ, phi-3 mini relies on curated data and blocksparse attention, and Mamba-2 merges SSM speed with attention concepts.\n\n\n\nTurning Theory into Practice\n\nWhether it's the direct preference optimization (DPO) for alignment in phi-3 or the residual vector quantization in SoundStream, these works show that bridging design insights with implementable prototypes is essential.\n\n\n\nClear Impact Through Prototypes & Open-Source\n\nMany references (Whisper, neural discrete representation learning, Mamba-2) highlight releasing code or pretrained models, enabling the broader community to replicate and build upon new methods. This premise of collaboration fosters faster progress.\n\n\n\n3. DATA-DRIVEN & SCALABLE SYSTEMS\n\nEmphasis on Large-Scale Data and Efficient Pipelines\n\nPapers such as Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) and BASE TTS demonstrate that collecting and processing hundreds of thousands of hours of real-world audio can unlock new capabilities in zero-shot or low-resource domains. Meanwhile, phi-3 Technical Report shows that filtering and curating data at scale (e.g., \"data optimal regime\") can yield high performance even in smaller models.\n\n\n\nStrategic Use of Data for Staged Training\n\nA recurring strategy is to vary sources of data or the order of tasks. Whisper trains on multilingual tasks, BASE TTS uses subsets/stages for pretraining on speech tokens, and phi-3 deploys multiple training phases (web data, then synthetic data). This systematic approach to data underscores how an ideal researcher designs training curricula and data filtering protocols for maximum performance.\n\n\n\n4. HARDWARE & SYSTEMS UNDERSTANDING\n\nEfficient Implementations at Scale\n\nMany works illustrate how researchers tune architectures for modern accelerators: the In-Datacenter TPU paper exemplifies domain-specific hardware design for dense matrix multiplications, while phi-3 leverages blocksparse attention and custom Triton kernels to run advanced LLMs on resource-limited devices.\n\n\n\nReal-Time & On-Device Constraints\n\nSoundStream shows how to compress audio in real time on a smartphone CPU, demonstrating that knowledge of hardware constraints (latency, limited memory) drives design choices. Similarly, Moshi's low-latency streaming TTS and phi-3-mini's phone-based inference highlight that an ideal researcher must adapt algorithms to resource limits while maintaining robustness.\n\n\n\nArchitectural & Optimization Details\n\nPapers like Mamba-2 in Transformers are SSMs and the In-Datacenter TPU work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency.\n\n\n\n5. RIGOROUS EXPERIMENTAL DESIGN\n\nControlled Comparisons & Ablations\n\nNearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual components (e.g., ablation on vector-quantization vs. scalar quantization in FSQ, or size of codebooks in VQ-VAEs). This approach reveals which design decisions truly matter.\n\n\n\nMultifold Evaluation Metrics\n\nFrom MUSHRA listening tests (SoundStream, BASE TTS) to FID in image synthesis (Scaling Rectified Flow Transformers, FSQ) to perplexity or zero-shot generalization in language (phi-3, Scaling Laws for Neural Language Models), the works demonstrate the value of comprehensive, carefully chosen metrics.\n\n\n\nStress Tests & Edge Cases\n\nWhisper's out-of-distribution speech benchmarks, SoundStream's evaluation on speech + music, or Mamba-2's performance on multi-query associative recall demonstrate the importance of specialized challenge sets. Researchers who craft or adopt rigorous benchmarks and \"red-team\" their models (as in phi-3 safety alignment) are better prepared to address real-world complexities.\n\n\n\n\nSUMMARY\n\nOverall, an ideal researcher in deep learning consistently demonstrates:\n\n - A solid grounding in theoretical and statistical principles\n\n - A talent for proposing and validating new algorithmic solutions\n\n - The capacity to orchestrate data pipelines that scale and reflect real-world diversity\n\n - Awareness of hardware constraints and system-level trade-offs for efficiency\n\n - Thorough and transparent experimental practices\n\n\n\nThese qualities surface across research on speech (Whisper, BASE TTS), language modeling (Scaling Laws, phi-3), specialized hardware (TPU, Transformers are SSMs), and new representation methods (VQ-VAE, FSQ, SoundStream). By balancing these attributes—rigorous math, innovative algorithms, large-scale data engineering, hardware-savvy optimizations, and reproducible experimentation—researchers can produce impactful, trustworthy advancements in foundational deep learning.\n\n\n\n\n\nFOUNDATIONAL PAPERS\n\nThis job description was generated through analysis of the following papers:\n\n - Robust Speech Recognition via Large-Scale Weak Supervision (arXiv:2212.04356)\n\n - Moshi: a speech-text foundation model for real-time dialogue (arXiv:2410.00037)\n\n - Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (arXiv:2403.03206)\n\n - Scaling Laws for Neural Language Models (arXiv:2001.08361)\n\n - BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (arXiv:2402.08093)\n\n - In-Datacenter Performance Analysis of a Tensor Processing Unit (arXiv:1704.04760)\n\n - Neural Discrete Representation Learning (arXiv:1711.00937)\n\n - SoundStream: An End-to-End Neural Audio Codec (arXiv:2107.03312)\n\n - Finite Scalar Quantization: VQ-VAE Made Simple (arXiv:2309.15505)\n\n - Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (arXiv:2404.14219)\n\n - Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality (arXiv:2405.21060)\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"a6c59ee7-4d92-423c-a6e6-99adcd9e6ff3","title":"Sales Development Representative","department":"Sales - SDR","team":"Sales - SDR","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2025-07-15T15:50:58.140+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/a6c59ee7-4d92-423c-a6e6-99adcd9e6ff3","applyUrl":"https://jobs.ashbyhq.com/deepgram/a6c59ee7-4d92-423c-a6e6-99adcd9e6ff3/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is looking for an Inbound Sales Development Representative to drive new customers and revenue to our rapidly growing company. You will create sales opportunities for Deepgram as you share our mission with CTOs, VPs of Product, and CEOs. You are a critical component in Deepgram’s Revenue organization and will play a pivotal role in growing our top-line revenue to new heights!
What You'll Do
Work with our Partnerships team, Account Executives, and your fellow SDRs to build a strong sales pipeline of new logos, striving to exceed quarterly sales targets
Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness
Have a depth of understanding regarding customer needs in the ASR space, competition, and Deepgram products to be able to fully articulate our value proposition
Research companies to find new speech recognition use cases and opportunities in the market
You’ll Love This Role If You
Value having leadership that has tenure and a track record of success
Thrive working with A Players as cross-functional partners across GTM
Understand the importance of selling a product that is market validated and can deliver on its technical promise
Are passionate about what Deepgram is building and how we are changing what is possible with speech
Are eager to launch your sales career towards enterprise sales
It’s Important to Us That You Have
1+ year of customer-facing work experience in SaaS
Prior sales experience selling a technical product
Dynamic written and verbal communication skills
Empathy and a unique ability to understand customer needs
Exceptional at prioritizing complex outreach schedules and managing high-frequency touchpoints
It Would Be Great If You Had
Experience prospecting companies that fit an ideal customer profile and understanding their business
Consistently overachieved against sales targets in past experiences
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is looking for an Inbound Sales Development Representative to drive new customers and revenue to our rapidly growing company. You will create sales opportunities for Deepgram as you share our mission with CTOs, VPs of Product, and CEOs. You are a critical component in Deepgram’s Revenue organization and will play a pivotal role in growing our top-line revenue to new heights!\n\n\n\nWhat You'll Do\n\n - Work with our Partnerships team, Account Executives, and your fellow SDRs to build a strong sales pipeline of new logos, striving to exceed quarterly sales targets\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the ASR space, competition, and Deepgram products to be able to fully articulate our value proposition\n\n - Research companies to find new speech recognition use cases and opportunities in the market\n\n\nYou’ll Love This Role If You\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n - Are eager to launch your sales career towards enterprise sales\n\n\nIt’s Important to Us That You Have\n\n - 1+ year of customer-facing work experience in SaaS\n\n - Prior sales experience selling a technical product\n\n - Dynamic written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Exceptional at prioritizing complex outreach schedules and managing high-frequency touchpoints \n\n\nIt Would Be Great If You Had\n\n - Experience prospecting companies that fit an ideal customer profile and understanding their business\n\n - Consistently overachieved against sales targets in past experiences\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$90K – $100K","scrapeableCompensationSalarySummary":"$90K - $100K","compensationTiers":[{"id":"e542854e-987b-491a-9dac-50f0a29fa2a2","tierSummary":"On-Target Earnings (Compensation will be based on experience and location): $90K – $100K","title":null,"additionalInformation":null,"components":[{"id":"efbf1b77-cde7-4d3f-a735-38708e43298d","summary":"On-Target Earnings (Compensation will be based on experience and location): $90K – $100K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":90000,"maxValue":100000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":90000,"maxValue":100000}]}},{"id":"ba60a541-fdf7-44bf-a6bb-0e821f15af54","title":"Senior Data Scientist, Audio","department":"Data","team":"Data","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-21T23:35:29.761+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/ba60a541-fdf7-44bf-a6bb-0e821f15af54","applyUrl":"https://jobs.ashbyhq.com/deepgram/ba60a541-fdf7-44bf-a6bb-0e821f15af54/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is looking for a Data Scientist to sit at the intersection between research and data: people who think deeply about what conversational data is actually composed of, what makes data valuable, and how to best leverage that.
Conversational audio presents incredibly rich scientific, engineering, and infrastructure challenges that are orders of magnitude harder than working with text. Speech carries speakers, accents, dialects, emotion, overlapping talk, code-switching, domain vocabulary, and acoustic conditions that range from a quiet studio to a drive-through — all with rich context that moves the conversation. In this role you'll collaborate closely with our research, engineering, and data teams to answer those questions rigorously and at scale. You'll care deeply about what makes conversational data difficult, you'll characterize it, and you'll shape the strategies that turn it into model gains. This role rewards conviction, creativity in approach, and a real appetite for overturning your own assumptions when the data says otherwise.
This is a hands-on, high-leverage role with unusual latitude to define an area from first principles. It reports to the VP of Data Operations. We're looking for people who:
See \"we've always done it this way\" as a starting position to argue with, not a constraint to work around
Can find the one experiment that settles a question in days rather than months
Are creative about where signal hides — in metadata, in model confidence, in the failures
Have the vision to take a scrappy proof-of-concept and scale it 100x
Are obsessed with using AI to automate and amplify their own impact
Understand and characterize our data. Build the analysis that tells us what we actually have — languages, conditions, domains, speakers, quality — and what's underrepresented.
Design and build active-learning loops. Decide what's worth working on next based on where it will move performance, and make that decision systematic rather than intuitive.
Think deeply about how to best leverage humans in the loop. Human attention is the scarcest input in this system. Design the workflows, tooling, and model-assisted steps that make it count.
Make representative benchmarking possible. Build the curated datasets and methodology that let us make honest claims about model quality across the full diversity of real-world speech.Senior
Change our minds about what data strategies actually work. Run the experiments that separate what works from what everyone assumes works.
Care about data consistency, cleanliness, and organization — and about making data legible and accessible to non-technical teams, not just to the people who built the pipelines.
Bring method and automation to model adaptation. Turn one-off, domain- and customer-specific model work into repeatable, documented pipelines.
Hands-on work on real data pipelines and model-facing problems in data science, ML, or applied research
Strong Python and data tooling; comfort building analysis, scoring, and automation yourself
Experience with data characterization, data selection, active learning, or similar \"what should we work on next\" problems
Working familiarity with speech/audio or NLP models — you can reason about model output quality, confidence, and error modes
A track record of turning ambiguous, messy data situations into measurable model or product improvements
You build systems others run without you in the room — a reusable harness, not a one-off notebook
Strong communication skills, especially translating complex findings for audiences who don't share your background
An active AI-tool user. Not aspirational — tell us what you use and what you've built with it
It would be great if you also had:
Direct experience with ASR/TTS, audio data, or multilingual/code-switched data.
Experience with ensemble labeling, pseudo-labeling, or LLM-assisted annotation.
Familiarity with data provenance, PII/GDPR-aware pipelines, or model-improvement compliance.
Experience building custom or fine-tuned models for specific customers or domains.
Comfort working directly with research and engineering teams on shared infrastructure.
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!
Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.
We are happy to provide accommodations for applicants who need them.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is looking for a Data Scientist to sit at the intersection between research and data: people who think deeply about what conversational data is actually composed of, what makes data valuable, and how to best leverage that.\n\nConversational audio presents incredibly rich scientific, engineering, and infrastructure challenges that are orders of magnitude harder than working with text. Speech carries speakers, accents, dialects, emotion, overlapping talk, code-switching, domain vocabulary, and acoustic conditions that range from a quiet studio to a drive-through — all with rich context that moves the conversation. In this role you'll collaborate closely with our research, engineering, and data teams to answer those questions rigorously and at scale. You'll care deeply about what makes conversational data difficult, you'll characterize it, and you'll shape the strategies that turn it into model gains. This role rewards conviction, creativity in approach, and a real appetite for overturning your own assumptions when the data says otherwise.\n\nThis is a hands-on, high-leverage role with unusual latitude to define an area from first principles. It reports to the VP of Data Operations. We're looking for people who:\n\n - See \"we've always done it this way\" as a starting position to argue with, not a constraint to work around\n\n - Can find the one experiment that settles a question in days rather than months\n\n - Are creative about where signal hides — in metadata, in model confidence, in the failures\n\n - Have the vision to take a scrappy proof-of-concept and scale it 100x\n\n - Are obsessed with using AI to automate and amplify their own impact\n\n\nWHAT YOU'LL OWN\n\n - Understand and characterize our data. Build the analysis that tells us what we actually have — languages, conditions, domains, speakers, quality — and what's underrepresented.\n\n - Design and build active-learning loops. Decide what's worth working on next based on where it will move performance, and make that decision systematic rather than intuitive.\n\n - Think deeply about how to best leverage humans in the loop. Human attention is the scarcest input in this system. Design the workflows, tooling, and model-assisted steps that make it count.\n\n - Make representative benchmarking possible. Build the curated datasets and methodology that let us make honest claims about model quality across the full diversity of real-world speech.Senior\n\n - Change our minds about what data strategies actually work. Run the experiments that separate what works from what everyone assumes works.\n\n - Care about data consistency, cleanliness, and organization — and about making data legible and accessible to non-technical teams, not just to the people who built the pipelines.\n\n - Bring method and automation to model adaptation. Turn one-off, domain- and customer-specific model work into repeatable, documented pipelines.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Hands-on work on real data pipelines and model-facing problems in data science, ML, or applied research\n\n - Strong Python and data tooling; comfort building analysis, scoring, and automation yourself\n\n - Experience with data characterization, data selection, active learning, or similar \"what should we work on next\" problems\n\n - Working familiarity with speech/audio or NLP models — you can reason about model output quality, confidence, and error modes\n\n - A track record of turning ambiguous, messy data situations into measurable model or product improvements\n\n - You build systems others run without you in the room — a reusable harness, not a one-off notebook\n\n - Strong communication skills, especially translating complex findings for audiences who don't share your background\n\n - An active AI-tool user. Not aspirational — tell us what you use and what you've built with it\n\n\n\nIt would be great if you also had:\n\n - Direct experience with ASR/TTS, audio data, or multilingual/code-switched data.\n\n - Experience with ensemble labeling, pseudo-labeling, or LLM-assisted annotation.\n\n - Familiarity with data provenance, PII/GDPR-aware pipelines, or model-improvement compliance.\n\n - Experience building custom or fine-tuned models for specific customers or domains.\n\n - Comfort working directly with research and engineering teams on shared infrastructure.\n\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$165K – $220K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$165K - $220K","compensationTiers":[{"id":"4e16bffc-da4a-4ded-895c-b4ac0b8f5348","tierSummary":"Estimated Base Salary $178K – $220K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":"Tier 1","additionalInformation":"10% Annual Bonus","components":[{"id":"46025b4b-3162-40b8-8c97-7c586d34ce40","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"fcf3105c-159a-49d1-91eb-d5d47b09de71","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"c6d4e411-fc64-4aaf-a11a-529efafe8dbe","summary":"Estimated Base Salary $178K – $220K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":178000,"maxValue":220000}]},{"id":"4342cf58-aabe-4b13-a0ec-eab453519976","tierSummary":"$165K – $205K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":"Tier 2","additionalInformation":"10% Annual Bonus","components":[{"id":"e7109ddf-8b84-4ace-b0f8-ba0fb206819c","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"bdaa4522-4f54-45e0-a639-f76e3f6bf7a4","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"2b7e73dd-40c5-4758-b265-3e7d8db27164","summary":"$165K – $205K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":165000,"maxValue":205000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"minValue":165000,"maxValue":220000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"12fd68d7-5034-41f5-a992-022691a25f53","title":"Research Staff, Voice AI Foundations [UK - Remote]","department":"Research","team":"Research","employmentType":"FullTime","location":"London, UK","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-10T23:24:32.614+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"England","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/12fd68d7-5034-41f5-a992-022691a25f53","applyUrl":"https://jobs.ashbyhq.com/deepgram/12fd68d7-5034-41f5-a992-022691a25f53/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.
As a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems:
Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio.
Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech.
Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”.
Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio. Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives.
Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations.
We are seeking researchers who:
See \"unsolved\" problems as opportunities to pioneer entirely new approaches
Can identify the one critical experiment that will validate or kill an idea in days, not months
Have the vision to scale successful proofs-of-concept 100x
Are obsessed with using AI to automate and amplify your own impact
If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.
Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning
Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities
Proven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficiently
Demonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversity
Track record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insights
Experience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniques
History of open-source contributions or research publications that have advanced the state of the art in speech/language AI
An ideal researcher, as evidenced by the recurring themes across these foundational papers, excels in five key areas: (1) Statistical & Mathematical Foundations, (2) Algorithmic Innovation & Implementation, (3) Data-Driven & Scalable Systems, (4) Hardware & Systems Understanding, and (5) Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models.
Mastery of Core Concepts
Many papers, like Scaling Laws for Neural Language Models and Neural Discrete Representation Learning (VQ-VAE), reflect the importance of power-law analyses, derivation of novel losses, or adaptation of fundamental equations (e.g., in VQ-VAE's commitment loss or rectified flows in Scaling Rectified Flow Transformers). Such mathematical grounding clarifies why models converge or suffer collapse.
Combining Existing Theories in Novel Ways
Papers such as Moshi (combining text modeling, audio codecs, and hierarchical generative modeling) and Finite Scalar Quantization (FSQ's adaptation of classic scalar quantization to replace vector-quantized representations) show how reusing but reimagining known techniques can yield breakthroughs. Many references (e.g., the structured state-space duality in Transformers are SSMs) underscore how unifying previously separate research lines can reveal powerful algorithmic or theoretical insights.
Logical Reasoning and Assumption Testing
Across all papers—particularly in the problem statements of Whisper or Rectified Flow Transformers—the authors present assumptions (e.g., \"scaling data leads to zero-shot robustness\" or \"straight-line noise injection improves sample efficiency\") and systematically verify them with thorough empirical results. An ideal researcher similarly grounds new ideas in well-formed, testable hypotheses.
Creative Solutions to Known Bottlenecks
Each paper puts forth a unique algorithmic contribution—Rectified Flow Transformers redefines standard diffusion paths, FSQ proposes simpler scalar quantizations contrasted with VQ, phi-3 mini relies on curated data and blocksparse attention, and Mamba-2 merges SSM speed with attention concepts.
Turning Theory into Practice
Whether it's the direct preference optimization (DPO) for alignment in phi-3 or the residual vector quantization in SoundStream, these works show that bridging design insights with implementable prototypes is essential.
Clear Impact Through Prototypes & Open-Source
Many references (Whisper, neural discrete representation learning, Mamba-2) highlight releasing code or pretrained models, enabling the broader community to replicate and build upon new methods. This premise of collaboration fosters faster progress.
Emphasis on Large-Scale Data and Efficient Pipelines
Papers such as Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) and BASE TTS demonstrate that collecting and processing hundreds of thousands of hours of real-world audio can unlock new capabilities in zero-shot or low-resource domains. Meanwhile, phi-3 Technical Report shows that filtering and curating data at scale (e.g., \"data optimal regime\") can yield high performance even in smaller models.
Strategic Use of Data for Staged Training
A recurring strategy is to vary sources of data or the order of tasks. Whisper trains on multilingual tasks, BASE TTS uses subsets/stages for pretraining on speech tokens, and phi-3 deploys multiple training phases (web data, then synthetic data). This systematic approach to data underscores how an ideal researcher designs training curricula and data filtering protocols for maximum performance.
Efficient Implementations at Scale
Many works illustrate how researchers tune architectures for modern accelerators: the In-Datacenter TPU paper exemplifies domain-specific hardware design for dense matrix multiplications, while phi-3 leverages blocksparse attention and custom Triton kernels to run advanced LLMs on resource-limited devices.
Real-Time & On-Device Constraints
SoundStream shows how to compress audio in real time on a smartphone CPU, demonstrating that knowledge of hardware constraints (latency, limited memory) drives design choices. Similarly, Moshi's low-latency streaming TTS and phi-3-mini's phone-based inference highlight that an ideal researcher must adapt algorithms to resource limits while maintaining robustness.
Architectural & Optimization Details
Papers like Mamba-2 in Transformers are SSMs and the In-Datacenter TPU work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency.
Controlled Comparisons & Ablations
Nearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual components (e.g., ablation on vector-quantization vs. scalar quantization in FSQ, or size of codebooks in VQ-VAEs). This approach reveals which design decisions truly matter.
Multifold Evaluation Metrics
From MUSHRA listening tests (SoundStream, BASE TTS) to FID in image synthesis (Scaling Rectified Flow Transformers, FSQ) to perplexity or zero-shot generalization in language (phi-3, Scaling Laws for Neural Language Models), the works demonstrate the value of comprehensive, carefully chosen metrics.
Stress Tests & Edge Cases
Whisper's out-of-distribution speech benchmarks, SoundStream's evaluation on speech + music, or Mamba-2's performance on multi-query associative recall demonstrate the importance of specialized challenge sets. Researchers who craft or adopt rigorous benchmarks and \"red-team\" their models (as in phi-3 safety alignment) are better prepared to address real-world complexities.
Overall, an ideal researcher in deep learning consistently demonstrates:
A solid grounding in theoretical and statistical principles
A talent for proposing and validating new algorithmic solutions
The capacity to orchestrate data pipelines that scale and reflect real-world diversity
Awareness of hardware constraints and system-level trade-offs for efficiency
Thorough and transparent experimental practices
These qualities surface across research on speech (Whisper, BASE TTS), language modeling (Scaling Laws, phi-3), specialized hardware (TPU, Transformers are SSMs), and new representation methods (VQ-VAE, FSQ, SoundStream). By balancing these attributes—rigorous math, innovative algorithms, large-scale data engineering, hardware-savvy optimizations, and reproducible experimentation—researchers can produce impactful, trustworthy advancements in foundational deep learning.
This job description was generated through analysis of the following papers:
Robust Speech Recognition via Large-Scale Weak Supervision (arXiv:2212.04356)
Moshi: a speech-text foundation model for real-time dialogue (arXiv:2410.00037)
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (arXiv:2403.03206)
Scaling Laws for Neural Language Models (arXiv:2001.08361)
BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (arXiv:2402.08093)
In-Datacenter Performance Analysis of a Tensor Processing Unit (arXiv:1704.04760)
Neural Discrete Representation Learning (arXiv:1711.00937)
SoundStream: An End-to-End Neural Audio Codec (arXiv:2107.03312)
Finite Scalar Quantization: VQ-VAE Made Simple (arXiv:2309.15505)
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (arXiv:2404.14219)
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality (arXiv:2405.21060)
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.\n\n\n\nTHE ROLE\n\nAs a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems:\n\n\n\n - Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio.\n\n - Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech.\n\n - Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”.\n\n - Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio. Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives. \n\n - Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations.\n\n\n\n\nTHE CHALLENGE\n\nWe are seeking researchers who:\n\n - See \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\n - Can identify the one critical experiment that will validate or kill an idea in days, not months\n\n - Have the vision to scale successful proofs-of-concept 100x\n\n - Are obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning\n\n - Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities\n\n - Proven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficiently\n\n - Demonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversity\n\n - Track record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insights\n\n - Experience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniques\n\n - History of open-source contributions or research publications that have advanced the state of the art in speech/language AI\n\n\n\nIDEAL RESEARCHER PROFILE\n\nAn ideal researcher, as evidenced by the recurring themes across these foundational papers, excels in five key areas: (1) Statistical & Mathematical Foundations, (2) Algorithmic Innovation & Implementation, (3) Data-Driven & Scalable Systems, (4) Hardware & Systems Understanding, and (5) Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models.\n\n\n\n\n1. STATISTICAL & MATHEMATICAL FOUNDATIONS\n\nMastery of Core Concepts\n\nMany papers, like Scaling Laws for Neural Language Models and Neural Discrete Representation Learning (VQ-VAE), reflect the importance of power-law analyses, derivation of novel losses, or adaptation of fundamental equations (e.g., in VQ-VAE's commitment loss or rectified flows in Scaling Rectified Flow Transformers). Such mathematical grounding clarifies why models converge or suffer collapse.\n\n\n\nCombining Existing Theories in Novel Ways\n\nPapers such as Moshi (combining text modeling, audio codecs, and hierarchical generative modeling) and Finite Scalar Quantization (FSQ's adaptation of classic scalar quantization to replace vector-quantized representations) show how reusing but reimagining known techniques can yield breakthroughs. Many references (e.g., the structured state-space duality in Transformers are SSMs) underscore how unifying previously separate research lines can reveal powerful algorithmic or theoretical insights.\n\n\n\nLogical Reasoning and Assumption Testing\n\nAcross all papers—particularly in the problem statements of Whisper or Rectified Flow Transformers—the authors present assumptions (e.g., \"scaling data leads to zero-shot robustness\" or \"straight-line noise injection improves sample efficiency\") and systematically verify them with thorough empirical results. An ideal researcher similarly grounds new ideas in well-formed, testable hypotheses.\n\n\n\n2. ALGORITHMIC INNOVATION & IMPLEMENTATION\n\nCreative Solutions to Known Bottlenecks\n\nEach paper puts forth a unique algorithmic contribution—Rectified Flow Transformers redefines standard diffusion paths, FSQ proposes simpler scalar quantizations contrasted with VQ, phi-3 mini relies on curated data and blocksparse attention, and Mamba-2 merges SSM speed with attention concepts.\n\n\n\nTurning Theory into Practice\n\nWhether it's the direct preference optimization (DPO) for alignment in phi-3 or the residual vector quantization in SoundStream, these works show that bridging design insights with implementable prototypes is essential.\n\n\n\nClear Impact Through Prototypes & Open-Source\n\nMany references (Whisper, neural discrete representation learning, Mamba-2) highlight releasing code or pretrained models, enabling the broader community to replicate and build upon new methods. This premise of collaboration fosters faster progress.\n\n\n\n3. DATA-DRIVEN & SCALABLE SYSTEMS\n\nEmphasis on Large-Scale Data and Efficient Pipelines\n\nPapers such as Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) and BASE TTS demonstrate that collecting and processing hundreds of thousands of hours of real-world audio can unlock new capabilities in zero-shot or low-resource domains. Meanwhile, phi-3 Technical Report shows that filtering and curating data at scale (e.g., \"data optimal regime\") can yield high performance even in smaller models.\n\n\n\nStrategic Use of Data for Staged Training\n\nA recurring strategy is to vary sources of data or the order of tasks. Whisper trains on multilingual tasks, BASE TTS uses subsets/stages for pretraining on speech tokens, and phi-3 deploys multiple training phases (web data, then synthetic data). This systematic approach to data underscores how an ideal researcher designs training curricula and data filtering protocols for maximum performance.\n\n\n\n4. HARDWARE & SYSTEMS UNDERSTANDING\n\nEfficient Implementations at Scale\n\nMany works illustrate how researchers tune architectures for modern accelerators: the In-Datacenter TPU paper exemplifies domain-specific hardware design for dense matrix multiplications, while phi-3 leverages blocksparse attention and custom Triton kernels to run advanced LLMs on resource-limited devices.\n\n\n\nReal-Time & On-Device Constraints\n\nSoundStream shows how to compress audio in real time on a smartphone CPU, demonstrating that knowledge of hardware constraints (latency, limited memory) drives design choices. Similarly, Moshi's low-latency streaming TTS and phi-3-mini's phone-based inference highlight that an ideal researcher must adapt algorithms to resource limits while maintaining robustness.\n\n\n\nArchitectural & Optimization Details\n\nPapers like Mamba-2 in Transformers are SSMs and the In-Datacenter TPU work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency.\n\n\n\n5. RIGOROUS EXPERIMENTAL DESIGN\n\nControlled Comparisons & Ablations\n\nNearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual components (e.g., ablation on vector-quantization vs. scalar quantization in FSQ, or size of codebooks in VQ-VAEs). This approach reveals which design decisions truly matter.\n\n\n\nMultifold Evaluation Metrics\n\nFrom MUSHRA listening tests (SoundStream, BASE TTS) to FID in image synthesis (Scaling Rectified Flow Transformers, FSQ) to perplexity or zero-shot generalization in language (phi-3, Scaling Laws for Neural Language Models), the works demonstrate the value of comprehensive, carefully chosen metrics.\n\n\n\nStress Tests & Edge Cases\n\nWhisper's out-of-distribution speech benchmarks, SoundStream's evaluation on speech + music, or Mamba-2's performance on multi-query associative recall demonstrate the importance of specialized challenge sets. Researchers who craft or adopt rigorous benchmarks and \"red-team\" their models (as in phi-3 safety alignment) are better prepared to address real-world complexities.\n\n\n\n\nSUMMARY\n\nOverall, an ideal researcher in deep learning consistently demonstrates:\n\n - A solid grounding in theoretical and statistical principles\n\n - A talent for proposing and validating new algorithmic solutions\n\n - The capacity to orchestrate data pipelines that scale and reflect real-world diversity\n\n - Awareness of hardware constraints and system-level trade-offs for efficiency\n\n - Thorough and transparent experimental practices\n\n\n\nThese qualities surface across research on speech (Whisper, BASE TTS), language modeling (Scaling Laws, phi-3), specialized hardware (TPU, Transformers are SSMs), and new representation methods (VQ-VAE, FSQ, SoundStream). By balancing these attributes—rigorous math, innovative algorithms, large-scale data engineering, hardware-savvy optimizations, and reproducible experimentation—researchers can produce impactful, trustworthy advancements in foundational deep learning.\n\n\n\n\n\nFOUNDATIONAL PAPERS\n\nThis job description was generated through analysis of the following papers:\n\n - Robust Speech Recognition via Large-Scale Weak Supervision (arXiv:2212.04356)\n\n - Moshi: a speech-text foundation model for real-time dialogue (arXiv:2410.00037)\n\n - Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (arXiv:2403.03206)\n\n - Scaling Laws for Neural Language Models (arXiv:2001.08361)\n\n - BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (arXiv:2402.08093)\n\n - In-Datacenter Performance Analysis of a Tensor Processing Unit (arXiv:1704.04760)\n\n - Neural Discrete Representation Learning (arXiv:1711.00937)\n\n - SoundStream: An End-to-End Neural Audio Codec (arXiv:2107.03312)\n\n - Finite Scalar Quantization: VQ-VAE Made Simple (arXiv:2309.15505)\n\n - Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (arXiv:2404.14219)\n\n - Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality (arXiv:2405.21060)\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"c7922eab-cca8-46e8-b073-06ad60337edf","title":"Research Staff, Voice AI Foundations [Remote]","department":"Research","team":"Research","employmentType":"FullTime","location":"Australia- Melbourne","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-10T23:25:56.556+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":null,"jobUrl":"https://jobs.ashbyhq.com/deepgram/c7922eab-cca8-46e8-b073-06ad60337edf","applyUrl":"https://jobs.ashbyhq.com/deepgram/c7922eab-cca8-46e8-b073-06ad60337edf/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.
As a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems:
Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio.
Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech.
Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”.
Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio. Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives.
Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations.
We are seeking researchers who:
See \"unsolved\" problems as opportunities to pioneer entirely new approaches
Can identify the one critical experiment that will validate or kill an idea in days, not months
Have the vision to scale successful proofs-of-concept 100x
Are obsessed with using AI to automate and amplify your own impact
If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.
Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning
Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities
Proven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficiently
Demonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversity
Track record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insights
Experience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniques
History of open-source contributions or research publications that have advanced the state of the art in speech/language AI
An ideal researcher, as evidenced by the recurring themes across these foundational papers, excels in five key areas: (1) Statistical & Mathematical Foundations, (2) Algorithmic Innovation & Implementation, (3) Data-Driven & Scalable Systems, (4) Hardware & Systems Understanding, and (5) Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models.
Mastery of Core Concepts
Many papers, like Scaling Laws for Neural Language Models and Neural Discrete Representation Learning (VQ-VAE), reflect the importance of power-law analyses, derivation of novel losses, or adaptation of fundamental equations (e.g., in VQ-VAE's commitment loss or rectified flows in Scaling Rectified Flow Transformers). Such mathematical grounding clarifies why models converge or suffer collapse.
Combining Existing Theories in Novel Ways
Papers such as Moshi (combining text modeling, audio codecs, and hierarchical generative modeling) and Finite Scalar Quantization (FSQ's adaptation of classic scalar quantization to replace vector-quantized representations) show how reusing but reimagining known techniques can yield breakthroughs. Many references (e.g., the structured state-space duality in Transformers are SSMs) underscore how unifying previously separate research lines can reveal powerful algorithmic or theoretical insights.
Logical Reasoning and Assumption Testing
Across all papers—particularly in the problem statements of Whisper or Rectified Flow Transformers—the authors present assumptions (e.g., \"scaling data leads to zero-shot robustness\" or \"straight-line noise injection improves sample efficiency\") and systematically verify them with thorough empirical results. An ideal researcher similarly grounds new ideas in well-formed, testable hypotheses.
Creative Solutions to Known Bottlenecks
Each paper puts forth a unique algorithmic contribution—Rectified Flow Transformers redefines standard diffusion paths, FSQ proposes simpler scalar quantizations contrasted with VQ, phi-3 mini relies on curated data and blocksparse attention, and Mamba-2 merges SSM speed with attention concepts.
Turning Theory into Practice
Whether it's the direct preference optimization (DPO) for alignment in phi-3 or the residual vector quantization in SoundStream, these works show that bridging design insights with implementable prototypes is essential.
Clear Impact Through Prototypes & Open-Source
Many references (Whisper, neural discrete representation learning, Mamba-2) highlight releasing code or pretrained models, enabling the broader community to replicate and build upon new methods. This premise of collaboration fosters faster progress.
Emphasis on Large-Scale Data and Efficient Pipelines
Papers such as Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) and BASE TTS demonstrate that collecting and processing hundreds of thousands of hours of real-world audio can unlock new capabilities in zero-shot or low-resource domains. Meanwhile, phi-3 Technical Report shows that filtering and curating data at scale (e.g., \"data optimal regime\") can yield high performance even in smaller models.
Strategic Use of Data for Staged Training
A recurring strategy is to vary sources of data or the order of tasks. Whisper trains on multilingual tasks, BASE TTS uses subsets/stages for pretraining on speech tokens, and phi-3 deploys multiple training phases (web data, then synthetic data). This systematic approach to data underscores how an ideal researcher designs training curricula and data filtering protocols for maximum performance.
Efficient Implementations at Scale
Many works illustrate how researchers tune architectures for modern accelerators: the In-Datacenter TPU paper exemplifies domain-specific hardware design for dense matrix multiplications, while phi-3 leverages blocksparse attention and custom Triton kernels to run advanced LLMs on resource-limited devices.
Real-Time & On-Device Constraints
SoundStream shows how to compress audio in real time on a smartphone CPU, demonstrating that knowledge of hardware constraints (latency, limited memory) drives design choices. Similarly, Moshi's low-latency streaming TTS and phi-3-mini's phone-based inference highlight that an ideal researcher must adapt algorithms to resource limits while maintaining robustness.
Architectural & Optimization Details
Papers like Mamba-2 in Transformers are SSMs and the In-Datacenter TPU work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency.
Controlled Comparisons & Ablations
Nearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual components (e.g., ablation on vector-quantization vs. scalar quantization in FSQ, or size of codebooks in VQ-VAEs). This approach reveals which design decisions truly matter.
Multifold Evaluation Metrics
From MUSHRA listening tests (SoundStream, BASE TTS) to FID in image synthesis (Scaling Rectified Flow Transformers, FSQ) to perplexity or zero-shot generalization in language (phi-3, Scaling Laws for Neural Language Models), the works demonstrate the value of comprehensive, carefully chosen metrics.
Stress Tests & Edge Cases
Whisper's out-of-distribution speech benchmarks, SoundStream's evaluation on speech + music, or Mamba-2's performance on multi-query associative recall demonstrate the importance of specialized challenge sets. Researchers who craft or adopt rigorous benchmarks and \"red-team\" their models (as in phi-3 safety alignment) are better prepared to address real-world complexities.
Overall, an ideal researcher in deep learning consistently demonstrates:
A solid grounding in theoretical and statistical principles
A talent for proposing and validating new algorithmic solutions
The capacity to orchestrate data pipelines that scale and reflect real-world diversity
Awareness of hardware constraints and system-level trade-offs for efficiency
Thorough and transparent experimental practices
These qualities surface across research on speech (Whisper, BASE TTS), language modeling (Scaling Laws, phi-3), specialized hardware (TPU, Transformers are SSMs), and new representation methods (VQ-VAE, FSQ, SoundStream). By balancing these attributes—rigorous math, innovative algorithms, large-scale data engineering, hardware-savvy optimizations, and reproducible experimentation—researchers can produce impactful, trustworthy advancements in foundational deep learning.
This job description was generated through analysis of the following papers:
Robust Speech Recognition via Large-Scale Weak Supervision (arXiv:2212.04356)
Moshi: a speech-text foundation model for real-time dialogue (arXiv:2410.00037)
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (arXiv:2403.03206)
Scaling Laws for Neural Language Models (arXiv:2001.08361)
BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (arXiv:2402.08093)
In-Datacenter Performance Analysis of a Tensor Processing Unit (arXiv:1704.04760)
Neural Discrete Representation Learning (arXiv:1711.00937)
SoundStream: An End-to-End Neural Audio Codec (arXiv:2107.03312)
Finite Scalar Quantization: VQ-VAE Made Simple (arXiv:2309.15505)
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (arXiv:2404.14219)
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality (arXiv:2405.21060)
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.\n\n\n\nTHE ROLE\n\nAs a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems:\n\n\n\n - Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio.\n\n - Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech.\n\n - Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”.\n\n - Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio. Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives. \n\n - Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations.\n\n\n\n\nTHE CHALLENGE\n\nWe are seeking researchers who:\n\n - See \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\n - Can identify the one critical experiment that will validate or kill an idea in days, not months\n\n - Have the vision to scale successful proofs-of-concept 100x\n\n - Are obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning\n\n - Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities\n\n - Proven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficiently\n\n - Demonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversity\n\n - Track record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insights\n\n - Experience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniques\n\n - History of open-source contributions or research publications that have advanced the state of the art in speech/language AI\n\n\n\nIDEAL RESEARCHER PROFILE\n\nAn ideal researcher, as evidenced by the recurring themes across these foundational papers, excels in five key areas: (1) Statistical & Mathematical Foundations, (2) Algorithmic Innovation & Implementation, (3) Data-Driven & Scalable Systems, (4) Hardware & Systems Understanding, and (5) Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models.\n\n\n\n\n1. STATISTICAL & MATHEMATICAL FOUNDATIONS\n\nMastery of Core Concepts\n\nMany papers, like Scaling Laws for Neural Language Models and Neural Discrete Representation Learning (VQ-VAE), reflect the importance of power-law analyses, derivation of novel losses, or adaptation of fundamental equations (e.g., in VQ-VAE's commitment loss or rectified flows in Scaling Rectified Flow Transformers). Such mathematical grounding clarifies why models converge or suffer collapse.\n\n\n\nCombining Existing Theories in Novel Ways\n\nPapers such as Moshi (combining text modeling, audio codecs, and hierarchical generative modeling) and Finite Scalar Quantization (FSQ's adaptation of classic scalar quantization to replace vector-quantized representations) show how reusing but reimagining known techniques can yield breakthroughs. Many references (e.g., the structured state-space duality in Transformers are SSMs) underscore how unifying previously separate research lines can reveal powerful algorithmic or theoretical insights.\n\n\n\nLogical Reasoning and Assumption Testing\n\nAcross all papers—particularly in the problem statements of Whisper or Rectified Flow Transformers—the authors present assumptions (e.g., \"scaling data leads to zero-shot robustness\" or \"straight-line noise injection improves sample efficiency\") and systematically verify them with thorough empirical results. An ideal researcher similarly grounds new ideas in well-formed, testable hypotheses.\n\n\n\n2. ALGORITHMIC INNOVATION & IMPLEMENTATION\n\nCreative Solutions to Known Bottlenecks\n\nEach paper puts forth a unique algorithmic contribution—Rectified Flow Transformers redefines standard diffusion paths, FSQ proposes simpler scalar quantizations contrasted with VQ, phi-3 mini relies on curated data and blocksparse attention, and Mamba-2 merges SSM speed with attention concepts.\n\n\n\nTurning Theory into Practice\n\nWhether it's the direct preference optimization (DPO) for alignment in phi-3 or the residual vector quantization in SoundStream, these works show that bridging design insights with implementable prototypes is essential.\n\n\n\nClear Impact Through Prototypes & Open-Source\n\nMany references (Whisper, neural discrete representation learning, Mamba-2) highlight releasing code or pretrained models, enabling the broader community to replicate and build upon new methods. This premise of collaboration fosters faster progress.\n\n\n\n3. DATA-DRIVEN & SCALABLE SYSTEMS\n\nEmphasis on Large-Scale Data and Efficient Pipelines\n\nPapers such as Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) and BASE TTS demonstrate that collecting and processing hundreds of thousands of hours of real-world audio can unlock new capabilities in zero-shot or low-resource domains. Meanwhile, phi-3 Technical Report shows that filtering and curating data at scale (e.g., \"data optimal regime\") can yield high performance even in smaller models.\n\n\n\nStrategic Use of Data for Staged Training\n\nA recurring strategy is to vary sources of data or the order of tasks. Whisper trains on multilingual tasks, BASE TTS uses subsets/stages for pretraining on speech tokens, and phi-3 deploys multiple training phases (web data, then synthetic data). This systematic approach to data underscores how an ideal researcher designs training curricula and data filtering protocols for maximum performance.\n\n\n\n4. HARDWARE & SYSTEMS UNDERSTANDING\n\nEfficient Implementations at Scale\n\nMany works illustrate how researchers tune architectures for modern accelerators: the In-Datacenter TPU paper exemplifies domain-specific hardware design for dense matrix multiplications, while phi-3 leverages blocksparse attention and custom Triton kernels to run advanced LLMs on resource-limited devices.\n\n\n\nReal-Time & On-Device Constraints\n\nSoundStream shows how to compress audio in real time on a smartphone CPU, demonstrating that knowledge of hardware constraints (latency, limited memory) drives design choices. Similarly, Moshi's low-latency streaming TTS and phi-3-mini's phone-based inference highlight that an ideal researcher must adapt algorithms to resource limits while maintaining robustness.\n\n\n\nArchitectural & Optimization Details\n\nPapers like Mamba-2 in Transformers are SSMs and the In-Datacenter TPU work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency.\n\n\n\n5. RIGOROUS EXPERIMENTAL DESIGN\n\nControlled Comparisons & Ablations\n\nNearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual components (e.g., ablation on vector-quantization vs. scalar quantization in FSQ, or size of codebooks in VQ-VAEs). This approach reveals which design decisions truly matter.\n\n\n\nMultifold Evaluation Metrics\n\nFrom MUSHRA listening tests (SoundStream, BASE TTS) to FID in image synthesis (Scaling Rectified Flow Transformers, FSQ) to perplexity or zero-shot generalization in language (phi-3, Scaling Laws for Neural Language Models), the works demonstrate the value of comprehensive, carefully chosen metrics.\n\n\n\nStress Tests & Edge Cases\n\nWhisper's out-of-distribution speech benchmarks, SoundStream's evaluation on speech + music, or Mamba-2's performance on multi-query associative recall demonstrate the importance of specialized challenge sets. Researchers who craft or adopt rigorous benchmarks and \"red-team\" their models (as in phi-3 safety alignment) are better prepared to address real-world complexities.\n\n\n\n\nSUMMARY\n\nOverall, an ideal researcher in deep learning consistently demonstrates:\n\n - A solid grounding in theoretical and statistical principles\n\n - A talent for proposing and validating new algorithmic solutions\n\n - The capacity to orchestrate data pipelines that scale and reflect real-world diversity\n\n - Awareness of hardware constraints and system-level trade-offs for efficiency\n\n - Thorough and transparent experimental practices\n\n\n\nThese qualities surface across research on speech (Whisper, BASE TTS), language modeling (Scaling Laws, phi-3), specialized hardware (TPU, Transformers are SSMs), and new representation methods (VQ-VAE, FSQ, SoundStream). By balancing these attributes—rigorous math, innovative algorithms, large-scale data engineering, hardware-savvy optimizations, and reproducible experimentation—researchers can produce impactful, trustworthy advancements in foundational deep learning.\n\n\n\n\n\nFOUNDATIONAL PAPERS\n\nThis job description was generated through analysis of the following papers:\n\n - Robust Speech Recognition via Large-Scale Weak Supervision (arXiv:2212.04356)\n\n - Moshi: a speech-text foundation model for real-time dialogue (arXiv:2410.00037)\n\n - Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (arXiv:2403.03206)\n\n - Scaling Laws for Neural Language Models (arXiv:2001.08361)\n\n - BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (arXiv:2402.08093)\n\n - In-Datacenter Performance Analysis of a Tensor Processing Unit (arXiv:1704.04760)\n\n - Neural Discrete Representation Learning (arXiv:1711.00937)\n\n - SoundStream: An End-to-End Neural Audio Codec (arXiv:2107.03312)\n\n - Finite Scalar Quantization: VQ-VAE Made Simple (arXiv:2309.15505)\n\n - Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (arXiv:2404.14219)\n\n - Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality (arXiv:2405.21060)\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"bf8ea79f-f380-467e-8349-ea1ea8281316","title":"People AI & Automation Engineer","department":"People","team":"People","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-11T17:08:43.899+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/bf8ea79f-f380-467e-8349-ea1ea8281316","applyUrl":"https://jobs.ashbyhq.com/deepgram/bf8ea79f-f380-467e-8349-ea1ea8281316/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
We are building the next generation of People Operations at Deepgram. We're looking for an early-career engineer to partner directly with our Head of People to identify, design, and build AI-powered workflows that fundamentally change how People Ops operates.
You will not be maintaining an HRIS or administering traditional People systems. You will build the systems that sit on top of them.
You'll take manual, repetitive, high-friction People processes and turn them into intelligent workflows using AI, automation, APIs, internal tools, and agents.
You'll work across People, Engineering, IT, and other functions to build secure, scalable solutions that allow employees and managers to get answers and complete workflows without requiring a People team member for every interaction.
This is a highly hands-on role for someone who loves building, experimenting, and finding ways to make work dramatically more efficient.
Partner directly with the People & Talent Team to identify high-impact opportunities to apply AI and automation across People Operations.
Build an AI-first onboarding experience that is scalable, up to date, and provides an exceptional experience.
Turn manual People workflows into automated, AI-powered systems.
Build AI agents and workflows that can answer questions, gather information, initiate processes, and complete defined actions.
Integrate AI systems with existing tools, including HRIS, Slack, recruiting, performance, compensation, and other internal systems.
Build internal tools and interfaces that make People processes dramatically easier for employees, managers, and the People team.
Prototype quickly, test with real users, learn from what works, and iterate.
Establish appropriate human-in-the-loop controls, escalation paths, permissions, and safeguards for sensitive People workflows.
Partner with Engineering and IT on architecture, security, access controls, and productionizing successful prototypes.
Measure whether what you build actually saves time, improves the employee experience, or increases the quality and consistency of People Operations.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nABOUT THE ROLE\n\nWe are building the next generation of People Operations at Deepgram. We're looking for an early-career engineer to partner directly with our Head of People to identify, design, and build AI-powered workflows that fundamentally change how People Ops operates.\n\nYou will not be maintaining an HRIS or administering traditional People systems. You will build the systems that sit on top of them.\n\nYou'll take manual, repetitive, high-friction People processes and turn them into intelligent workflows using AI, automation, APIs, internal tools, and agents.\n\nYou'll work across People, Engineering, IT, and other functions to build secure, scalable solutions that allow employees and managers to get answers and complete workflows without requiring a People team member for every interaction.\n\nThis is a highly hands-on role for someone who loves building, experimenting, and finding ways to make work dramatically more efficient.\n\n\n\n\nWHAT YOU'LL DO\n\n - Partner directly with the People & Talent Team to identify high-impact opportunities to apply AI and automation across People Operations.\n\n - Build an AI-first onboarding experience that is scalable, up to date, and provides an exceptional experience.\n\n - Turn manual People workflows into automated, AI-powered systems.\n\n - Build AI agents and workflows that can answer questions, gather information, initiate processes, and complete defined actions.\n\n - Integrate AI systems with existing tools, including HRIS, Slack, recruiting, performance, compensation, and other internal systems.\n\n - Build internal tools and interfaces that make People processes dramatically easier for employees, managers, and the People team.\n\n - Prototype quickly, test with real users, learn from what works, and iterate.\n\n - Establish appropriate human-in-the-loop controls, escalation paths, permissions, and safeguards for sensitive People workflows.\n\n - Partner with Engineering and IT on architecture, security, access controls, and productionizing successful prototypes.\n\n - Measure whether what you build actually saves time, improves the employee experience, or increases the quality and consistency of People Operations.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"91ea80f4-cc54-4c52-8ef5-d2c2b2764640","title":"Enterprise Account Executive","department":"Sales - AE","team":"Sales - AE","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2025-09-05T17:07:40.052+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/91ea80f4-cc54-4c52-8ef5-d2c2b2764640","applyUrl":"https://jobs.ashbyhq.com/deepgram/91ea80f4-cc54-4c52-8ef5-d2c2b2764640/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is looking for a Enterprise Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!
Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings
Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness
Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers
Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing
Value having leadership that has tenure and a track record of success
Thrive working with A Players as cross-functional partners across GTM
Understand the importance of selling a product that is market validated and can deliver on its technical promise
Believe there should be no cap to upside and want control of account up-sell potential
Are passionate about what Deepgram is building and how we are changing what is possible with speech
5-8+ years of proven experience in a technical full-cycle sales role
Experience building your own pipeline from scratch and closing accounts
Consistent overachievement against sales targets in past experiences
Strong written and verbal communication skills
Empathy and a unique ability to understand customer needs
Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time
Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.
It Would Be Great If You Had
Familiarity with Challenger or Triangle sales methodology
Experience selling to a technical audience in a similar space
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nDeepgram is looking for a Enterprise Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!\n\n\n\n\nWHAT YOU'LL DO\n\n - Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers\n\n - Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Believe there should be no cap to upside and want control of account up-sell potential\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - 5-8+ years of proven experience in a technical full-cycle sales role\n\n - Experience building your own pipeline from scratch and closing accounts\n\n - Consistent overachievement against sales targets in past experiences\n\n - Strong written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time\n\n - Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.\n\nIt Would Be Great If You Had\n\n - Familiarity with Challenger or Triangle sales methodology\n\n - Experience selling to a technical audience in a similar space\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$250K – $300K • Offers Equity","scrapeableCompensationSalarySummary":"$250K - $300K","compensationTiers":[{"id":"a387bc69-9a26-46a4-aab7-238fbb5d2516","tierSummary":"OTE $250K – $300K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"a4cfc2b9-7584-462c-9042-422964865367","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"e149c65d-3aa6-46ac-92e7-6d3adf6e819c","summary":"OTE $250K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":250000,"maxValue":300000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":250000,"maxValue":300000}]}},{"id":"39c2b79b-0269-4711-9354-be5ccf747a98","title":"Research Staff, LLMs","department":"Research","team":"Research","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"Ann Arbor, Michigan","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Ann Arbor"}}}],"publishedAt":"2026-08-23T17:44:04.985+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/39c2b79b-0269-4711-9354-be5ccf747a98","applyUrl":"https://jobs.ashbyhq.com/deepgram/39c2b79b-0269-4711-9354-be5ccf747a98/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.
Deepgram is currently looking for an experienced researcher to who has worked extensively with Large Language Models (LLMS) and has a deep understanding of transformer architecture to join our Research Staff. As a Member of the Research Staff, this individual should have extensive experience working on the hard technical aspects of LLMs, such as data curation, distributed large-scale training, optimization of transformer architecture, and Reinforcement Learning (RL) training.
We are seeking researchers who:
See \"unsolved\" problems as opportunities to pioneer entirely new approaches
Can identify the one critical experiment that will validate or kill an idea in days, not months
Have the vision to scale successful proofs-of-concept 100x
Are obsessed with using AI to automate and amplify your own impact
If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.
Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives
Broad surveying of literature, evaluating, classifying, and distilling current methods
Designing and carrying out experimental programs for LLMs
Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production
Documenting and presenting results and complex technical concepts clearly for a target audience
Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products
Are passionate about AI and excited about working on state of the art LLM research
Have an interest in producing and applying new science to help us develop and deploy large language models
Enjoy building from the ground up and love to create new systems.
Have strong communication skills and are able to translate complex concepts clearly
Are highly analytical and enjoy delving into detailed analyses when necessary
3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism
Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning
Strong experience coding in Python and working with Pytorch
Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)
Experience with distributed computing and large-scale data processing
Prior experience in conducting experimental programs and using results to optimize models
Deep understanding of transformers, causal LMs, and their underlying architecture
Understanding of distributed training and distributed inference schemes for LLMs
Familiarity with RLHF labeling and training pipelines
Up-to-date knowledge of recent LLM techniques and developments
We are seeking researchers who:
See \"unsolved\" problems as opportunities to pioneer entirely new approaches
Can identify the one critical experiment that will validate or kill an idea in days, not months
Have the vision to scale successful proofs-of-concept 100x
Are obsessed with using AI to automate and amplify your own impact
If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.
Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives
Broad surveying of literature, evaluating, classifying, and distilling current methods
Designing and carrying out experimental programs for LLMs
Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production
Documenting and presenting results and complex technical concepts clearly for a target audience
Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products
Are passionate about AI and excited about working on state of the art LLM research
Have an interest in producing and applying new science to help us develop and deploy large language models
Enjoy building from the ground up and love to create new systems.
Have strong communication skills and are able to translate complex concepts clearly
Are highly analytical and enjoy delving into detailed analyses when necessary
3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism
Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning
Strong experience coding in Python and working with Pytorch
Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)
Experience with distributed computing and large-scale data processing
Prior experience in conducting experimental programs and using results to optimize models
Deep understanding of transformers, causal LMs, and their underlying architecture
Understanding of distributed training and distributed inference schemes for LLMs
Familiarity with RLHF labeling and training pipelines
Up-to-date knowledge of recent LLM techniques and developments
Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks
Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.\n\n\n\nTHE ROLE\n\nDeepgram is currently looking for an experienced researcher to who has worked extensively with Large Language Models (LLMS) and has a deep understanding of transformer architecture to join our Research Staff. As a Member of the Research Staff, this individual should have extensive experience working on the hard technical aspects of LLMs, such as data curation, distributed large-scale training, optimization of transformer architecture, and Reinforcement Learning (RL) training.\n\n\n\n\nTHE CHALLENGE\n\nWe are seeking researchers who:\n\n - See \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\n - Can identify the one critical experiment that will validate or kill an idea in days, not months\n\n - Have the vision to scale successful proofs-of-concept 100x\n\n - Are obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\n\n\n\n\nWHAT YOU'LL DO\n\n - Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives\n\n - Broad surveying of literature, evaluating, classifying, and distilling current methods\n\n - Designing and carrying out experimental programs for LLMs\n\n - Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production\n\n - Documenting and presenting results and complex technical concepts clearly for a target audience\n\n - Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products\n\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are passionate about AI and excited about working on state of the art LLM research\n\n - Have an interest in producing and applying new science to help us develop and deploy large language models\n\n - Enjoy building from the ground up and love to create new systems.\n\n - Have strong communication skills and are able to translate complex concepts clearly\n\n - Are highly analytical and enjoy delving into detailed analyses when necessary\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism\n\n - Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning\n\n - Strong experience coding in Python and working with Pytorch\n\n - Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)\n\n - Experience with distributed computing and large-scale data processing\n\n - Prior experience in conducting experimental programs and using results to optimize models\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Deep understanding of transformers, causal LMs, and their underlying architecture\n\n - Understanding of distributed training and distributed inference schemes for LLMs\n\n - Familiarity with RLHF labeling and training pipelines\n\n - Up-to-date knowledge of recent LLM techniques and developments\n\n\nTHE CHALLENGE\n\nWe are seeking researchers who:\n\n - See \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\n - Can identify the one critical experiment that will validate or kill an idea in days, not months\n\n - Have the vision to scale successful proofs-of-concept 100x\n\n - Are obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\n\n\n\n\nWHAT YOU'LL DO\n\n - Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives\n\n - Broad surveying of literature, evaluating, classifying, and distilling current methods\n\n - Designing and carrying out experimental programs for LLMs\n\n - Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production\n\n - Documenting and presenting results and complex technical concepts clearly for a target audience\n\n - Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products\n\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are passionate about AI and excited about working on state of the art LLM research\n\n - Have an interest in producing and applying new science to help us develop and deploy large language models\n\n - Enjoy building from the ground up and love to create new systems.\n\n - Have strong communication skills and are able to translate complex concepts clearly\n\n - Are highly analytical and enjoy delving into detailed analyses when necessary\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism\n\n - Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning\n\n - Strong experience coding in Python and working with Pytorch\n\n - Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)\n\n - Experience with distributed computing and large-scale data processing\n\n - Prior experience in conducting experimental programs and using results to optimize models\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Deep understanding of transformers, causal LMs, and their underlying architecture\n\n - Understanding of distributed training and distributed inference schemes for LLMs\n\n - Familiarity with RLHF labeling and training pipelines\n\n - Up-to-date knowledge of recent LLM techniques and developments\n\n - Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks\n\n\n\n - Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks\n\n\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$150K – $250K • Offers Equity • Offers Bonus • 10% Annual Bonus","scrapeableCompensationSalarySummary":"$150K - $250K","compensationTiers":[{"id":"ae724c91-b902-4eb9-8f55-85bd8fb00eed","tierSummary":"Estimated Base Salary $150K – $250K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":null,"additionalInformation":"10% Annual Bonus","components":[{"id":"79c9171e-323e-4dc9-b3ec-22ead7f89530","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"3e296414-d506-4749-990f-4cf66c0ee8e4","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"c5830520-6c9f-4d57-a067-10938a648301","summary":"Estimated Base Salary $150K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":250000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":250000}]}},{"id":"7ac1a5bc-f305-4f2a-a547-394566a549b2","title":"Senior Pre-Sales Solutions Engineer - Europe","department":"Applied Engineering","team":"Applied Engineering","employmentType":"FullTime","location":"EU - Remote","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-03-17T19:36:50.771+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"European Union"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/7ac1a5bc-f305-4f2a-a547-394566a549b2","applyUrl":"https://jobs.ashbyhq.com/deepgram/7ac1a5bc-f305-4f2a-a547-394566a549b2/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Note: this is a remote role that is to be based out of one of the following countries:
United Kingdom
Ireland
Scotland
Switzerland
Germany
Austria
Netherlands
Spain
Opportunity
Deepgram is expanding globally and operating a follow-the-sun model. We are hiring a Pre-sales Solutions Engineer in EMEA to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long-term across discovery, POC, production launch, and expansion. You will focus on pre-sales, yet you will often step into post-sales style work when the stakes are high and continuity matters.
About Applied Engineering at Deepgram
Applied Engineering blends what many companies split into Solutions Engineering, Solutions Architecture, Solutions Consulting, and Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.
What You’ll Do
Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.
Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.
Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs. Show, do not tell.
Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.
Run security and compliance threads common in EMEA. Prepare crisp responses for GDPR, ISO 27001, SOC 2, and vendor risk reviews.
Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.
Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.
Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.
Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.
Based in an EMEA time zone with strong overlap to customer business hours.
Excellent written and spoken English. Additional European languages are a strong plus.
Familiarity with procurement, InfoSec, and data privacy expectations across EMEA, including GDPR and data residency.
In the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active opportunities and engagements driven by Account Executives or partners.
First 30 days
Ramp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.
Shadow strategic discovery and POC calls.
Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.
Publish one internal field guide that clarifies a common EMEA pre-sales topic (for example data residency, telephony capture, or evaluation metrics).
By day 60
Own two evaluations end to end with defined success criteria and timelines.
Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection handling packs.
Take point on higher signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.
Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.
By day 90
Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.
Close at least one complex technical win with a measurable impact on revenue.
Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.
Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.
Enjoy the mix of customer conversations and hands-on building.
Can move from whiteboard to working code and back without losing the thread.
Communicate clearly with executives and deeply with engineers.
Value speed with rigor and crisp documentation.
Like winning together across regions and functions.
5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.
Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.
Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.
Proven track record leading POCs for enterprise customers and earning the technical win.
Clear written and verbal communication across both technical and executive audiences.
Experience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.
Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.
Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.
Strong understanding of authentication, authorization, and data residency topics that appear in EMEA enterprise reviews.
Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish.
Remote across EMEA with periodic regional meetups.
Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across EMEA, the Americas, and APAC.
Shared playbooks, defined escalation paths, and measurable SLAs.
Recruiter screen focused on experience, motivations, and logistics.
Hiring manager conversation focused on technical depth and customer impact.
Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.
Panel interviews with cross-functional partners.
Simulated pre-sales engagement based on a case study, along with and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nNote: this is a remote role that is to be based out of one of the following countries:\n\n - United Kingdom\n\n - Ireland\n\n - Scotland\n\n - Switzerland\n\n - Germany\n\n - Austria\n\n - Netherlands\n\n - Spain\n\n\n\nOpportunity\n\nDeepgram is expanding globally and operating a follow-the-sun model. We are hiring a Pre-sales Solutions Engineer in EMEA to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long-term across discovery, POC, production launch, and expansion. You will focus on pre-sales, yet you will often step into post-sales style work when the stakes are high and continuity matters.\n\n\n\nAbout Applied Engineering at Deepgram \n\nApplied Engineering blends what many companies split into Solutions Engineering, Solutions Architecture, Solutions Consulting, and Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.\n\n\n\nWhat You’ll Do\n\n - Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.\n\n - Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.\n\n - Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs. Show, do not tell.\n\n - Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.\n\n - Run security and compliance threads common in EMEA. Prepare crisp responses for GDPR, ISO 27001, SOC 2, and vendor risk reviews.\n\n - Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.\n\n - Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.\n\n - Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.\n\n - Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.\n\n\n\n\nREGIONAL EXPECTATIONS\n\n - Based in an EMEA time zone with strong overlap to customer business hours.\n\n - Excellent written and spoken English. Additional European languages are a strong plus.\n\n - Familiarity with procurement, InfoSec, and data privacy expectations across EMEA, including GDPR and data residency.\n \n \n\n\nYOUR FIRST 90 DAYS\n\nIn the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active opportunities and engagements driven by Account Executives or partners.\n\nFirst 30 days\n\n - Ramp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.\n\n - Shadow strategic discovery and POC calls.\n\n - Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.\n\n - Publish one internal field guide that clarifies a common EMEA pre-sales topic (for example data residency, telephony capture, or evaluation metrics).\n\nBy day 60\n\n - Own two evaluations end to end with defined success criteria and timelines.\n\n - Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection handling packs.\n\n - Take point on higher signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.\n\n - Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.\n\nBy day 90\n\n - Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.\n\n - Close at least one complex technical win with a measurable impact on revenue.\n\n - Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.\n\n - Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.\n\n\nYOU WILL THRIVE HERE IF YOU\n\n - Enjoy the mix of customer conversations and hands-on building.\n\n - Can move from whiteboard to working code and back without losing the thread.\n\n - Communicate clearly with executives and deeply with engineers.\n\n - Value speed with rigor and crisp documentation.\n\n - Like winning together across regions and functions.\n\n\nMINIMUM QUALIFICATIONS\n\n - 5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.\n\n - Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.\n\n - Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.\n\n - Proven track record leading POCs for enterprise customers and earning the technical win.\n\n - Clear written and verbal communication across both technical and executive audiences.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.\n\n - Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.\n\n - Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.\n\n - Strong understanding of authentication, authorization, and data residency topics that appear in EMEA enterprise reviews.\n\n - Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish.\n\n\nHOW WE WORK\n\n - Remote across EMEA with periodic regional meetups.\n\n - Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across EMEA, the Americas, and APAC.\n\n - Shared playbooks, defined escalation paths, and measurable SLAs.\n\n\nINTERVIEW PROCESS\n\n - Recruiter screen focused on experience, motivations, and logistics.\n\n - Hiring manager conversation focused on technical depth and customer impact.\n\n - Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.\n\n - Panel interviews with cross-functional partners.\n\n - Simulated pre-sales engagement based on a case study, along with and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"9cb09363-9b68-4957-869a-da70b95ad6bd","title":"Senior Solutions Architect - Europe","department":"Applied Engineering","team":"Applied Engineering","employmentType":"FullTime","location":"EU - Remote","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-03-17T19:36:40.656+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"European Union"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/9cb09363-9b68-4957-869a-da70b95ad6bd","applyUrl":"https://jobs.ashbyhq.com/deepgram/9cb09363-9b68-4957-869a-da70b95ad6bd/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Note: this is a remote role that is to be based out of one of the following countries:
United Kingdom
Ireland
Scotland
Switzerland
Austria
Spain
Deepgram is expanding globally and building a true follow‑the‑sun model. We are hiring a Solutions Architect in EMEA to own complex post‑sales engagements, guide customers to production, and strengthen our technical support coverage for the region. You will work across the full customer lifecycle, with a primary focus on architecture, implementation, and Tier‑3 technical problem solving. You will also contribute to pre‑sales validation when deep technical credibility is needed, partner with Product and Engineering on feedback and roadmap, and help mature our global operations.
Applied Engineering combines functions that other companies split across Solutions Engineering, Solutions Architecture, Consulting, and Senior Technical Support. We are the technical interface from first discovery through successful production and beyond. The team partners closely with Sales, Customer Success, Product, and DevRel to deliver an enterprise‑grade experience that is fast, clear, and outcome‑oriented.
Lead architecture and implementation for enterprise deployments that use Deepgram’s speech‑to‑text, text‑to‑speech, and voice‑agent capabilities.
Own post‑sales technical success for assigned accounts. Unblock integrations, optimize accuracy and latency, and guide customers to stable production.
Serve as the Tier‑3 escalation point for complex issues. Drive root cause analysis, propose mitigations, and write durable fixes or automation when possible.
Design reference architectures and implementation patterns for common EMEA customer use cases including contact centers, voice analytics, QA, and AI agents.
Build high‑quality samples, internal tools, or scripts that make repeatable tasks easier for customers and for our team.
Contribute to pre‑sales discovery and POCs when deep technical direction is needed. Translate business goals to a concrete plan with clear success criteria.
Partner with Product and Engineering to prioritize fixes and features. Bring crisp customer signals that improve our roadmap.
Contribute to knowledge systems. Capture runbooks, playbooks, and docs that scale your expertise across regions.
Participate in an on‑call or incident rotation appropriate for the region and customer support tier. Help us meet or outperform regional SLAs.
Based in an EMEA time zone with reliable overlap to customer business hours.
Excellent written and spoken English. Additional European languages are a strong plus.
Familiarity with GDPR, data privacy expectations, and enterprise security reviews common across EMEA.
Ability to travel within the region for critical customer milestones, estimated 10–20 percent.
First 30 days
Ramp on Deepgram’s platform, APIs, SDKs, self-hosted deployments, and support practices. Shadow calls across pre-sales, post-sales, and support. Begin owning low-risk technical tasks for an active account and contribute improvements to runbooks or sample code.
By day 60
Own two to three customer workstreams end-to-end. Lead discovery for one new implementation or migration. Publish one reusable asset such as a deployment guide, Helm example, or troubleshooting playbook.
By day 90
Act as primary technical owner for several EMEA accounts in production. Close at least one complex investigation with measurable customer impact. Present a short readout on a repeated regional pattern and the automation or content you created to solve it.
Enjoy solving hard customer problems at the code, container, and cloud layers.
Like translating messy real‑world constraints into clear architectures and plans.
Are comfortable writing and reading production‑grade code, not just sample snippets.
Value crisp documentation, reproducible runbooks, and operational excellence.
Care about delivering outcomes, not just closing tickets.
5 or more years in Solutions Architecture, Solutions Engineering, or similar customer‑facing technical roles.
Professional software engineering experience in at least one language such as Python, Rust, or JavaScript. You can build POCs and tools that real users run.
Hands‑on experience with modern cloud platforms. Comfortable with containerization and orchestration, for example Docker and Kubernetes, and with secure network design for API‑driven systems.
Proven ownership of complex post‑sales work such as production deployments, migrations, performance tuning, and incident response.
Clear written and verbal communication across both technical and executive audiences.
Experience with speech recognition, TTS, or building voice agents that orchestrate LLMs.
Familiarity with WER analysis, model selection and tuning, and accuracy‑versus‑latency tradeoffs.
Experience operating self‑hosted systems, including Helm‑based deployments and observability for production services.
Strong understanding of authentication, authorization, data residency, and compliance topics that appear in EMEA enterprise reviews.
Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish.
Remote across EMEA with periodic regional meetups.
Collaboration with colleagues in the Americas and APAC to support continuous coverage.
Shared playbooks, defined escalation paths, and measurable SLAs.
Recruiter screen focused on experience, motivations, and logistics.
Hiring manager conversation focused on technical depth and customer impact.
Technical assessment that mirrors real work. Expect practical coding, architecture discussion, and debugging.
Panel interviews with cross‑functional partners.
A presentation simulating a post-sales customer engagement, based on a provided case study. Additionally, you’ll be asked to present a past customer‑facing technical engagement that you led, including the problem, your approach, and measurable outcomes.
If this sounds like you, we would love to meet you!
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nNote: this is a remote role that is to be based out of one of the following countries:\n\n - United Kingdom\n\n - Ireland\n\n - Scotland\n\n - Switzerland\n\n - Austria\n\n - Spain\n\n\n\n\nTHE OPPORTUNITY\n\nDeepgram is expanding globally and building a true follow‑the‑sun model. We are hiring a Solutions Architect in EMEA to own complex post‑sales engagements, guide customers to production, and strengthen our technical support coverage for the region. You will work across the full customer lifecycle, with a primary focus on architecture, implementation, and Tier‑3 technical problem solving. You will also contribute to pre‑sales validation when deep technical credibility is needed, partner with Product and Engineering on feedback and roadmap, and help mature our global operations.\n\n\n\n\nABOUT APPLIED ENGINEERING AT DEEPGRAM\n\nApplied Engineering combines functions that other companies split across Solutions Engineering, Solutions Architecture, Consulting, and Senior Technical Support. We are the technical interface from first discovery through successful production and beyond. The team partners closely with Sales, Customer Success, Product, and DevRel to deliver an enterprise‑grade experience that is fast, clear, and outcome‑oriented.\n\n\n\n\nWHAT YOU’LL DO\n\n - Lead architecture and implementation for enterprise deployments that use Deepgram’s speech‑to‑text, text‑to‑speech, and voice‑agent capabilities.\n\n - Own post‑sales technical success for assigned accounts. Unblock integrations, optimize accuracy and latency, and guide customers to stable production.\n\n - Serve as the Tier‑3 escalation point for complex issues. Drive root cause analysis, propose mitigations, and write durable fixes or automation when possible.\n\n - Design reference architectures and implementation patterns for common EMEA customer use cases including contact centers, voice analytics, QA, and AI agents.\n\n - Build high‑quality samples, internal tools, or scripts that make repeatable tasks easier for customers and for our team.\n\n - Contribute to pre‑sales discovery and POCs when deep technical direction is needed. Translate business goals to a concrete plan with clear success criteria.\n\n - Partner with Product and Engineering to prioritize fixes and features. Bring crisp customer signals that improve our roadmap.\n\n - Contribute to knowledge systems. Capture runbooks, playbooks, and docs that scale your expertise across regions.\n\n - Participate in an on‑call or incident rotation appropriate for the region and customer support tier. Help us meet or outperform regional SLAs.\n\n\nREGIONAL EXPECTATIONS\n\n - Based in an EMEA time zone with reliable overlap to customer business hours.\n\n - Excellent written and spoken English. Additional European languages are a strong plus.\n\n - Familiarity with GDPR, data privacy expectations, and enterprise security reviews common across EMEA.\n\n - Ability to travel within the region for critical customer milestones, estimated 10–20 percent.\n\n\n\n\nYOUR FIRST 90 DAYS\n\nFirst 30 days\n\nRamp on Deepgram’s platform, APIs, SDKs, self-hosted deployments, and support practices. Shadow calls across pre-sales, post-sales, and support. Begin owning low-risk technical tasks for an active account and contribute improvements to runbooks or sample code.\n\nBy day 60\n\nOwn two to three customer workstreams end-to-end. Lead discovery for one new implementation or migration. Publish one reusable asset such as a deployment guide, Helm example, or troubleshooting playbook.\n\nBy day 90\n\nAct as primary technical owner for several EMEA accounts in production. Close at least one complex investigation with measurable customer impact. Present a short readout on a repeated regional pattern and the automation or content you created to solve it.\n\n\n\n\nYOU’LL THRIVE HERE IF YOU\n\n - Enjoy solving hard customer problems at the code, container, and cloud layers.\n\n - Like translating messy real‑world constraints into clear architectures and plans.\n\n - Are comfortable writing and reading production‑grade code, not just sample snippets.\n\n - Value crisp documentation, reproducible runbooks, and operational excellence.\n\n - Care about delivering outcomes, not just closing tickets.\n\n\nMINIMUM QUALIFICATIONS\n\n - 5 or more years in Solutions Architecture, Solutions Engineering, or similar customer‑facing technical roles.\n\n - Professional software engineering experience in at least one language such as Python, Rust, or JavaScript. You can build POCs and tools that real users run.\n\n - Hands‑on experience with modern cloud platforms. Comfortable with containerization and orchestration, for example Docker and Kubernetes, and with secure network design for API‑driven systems.\n\n - Proven ownership of complex post‑sales work such as production deployments, migrations, performance tuning, and incident response.\n\n - Clear written and verbal communication across both technical and executive audiences.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with speech recognition, TTS, or building voice agents that orchestrate LLMs.\n\n - Familiarity with WER analysis, model selection and tuning, and accuracy‑versus‑latency tradeoffs.\n\n - Experience operating self‑hosted systems, including Helm‑based deployments and observability for production services.\n\n - Strong understanding of authentication, authorization, data residency, and compliance topics that appear in EMEA enterprise reviews.\n\n - Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish.\n\n\nHOW WE WORK\n\n - Remote across EMEA with periodic regional meetups.\n\n - Collaboration with colleagues in the Americas and APAC to support continuous coverage.\n\n - Shared playbooks, defined escalation paths, and measurable SLAs.\n\n\nINTERVIEW PROCESS\n\n - Recruiter screen focused on experience, motivations, and logistics.\n\n - Hiring manager conversation focused on technical depth and customer impact.\n\n - Technical assessment that mirrors real work. Expect practical coding, architecture discussion, and debugging.\n\n - Panel interviews with cross‑functional partners.\n\n - A presentation simulating a post-sales customer engagement, based on a provided case study. Additionally, you’ll be asked to present a past customer‑facing technical engagement that you led, including the problem, your approach, and measurable outcomes.\n\n\n\nIf this sounds like you, we would love to meet you!\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"cdecda60-85d8-4b7f-94db-c4665b3d5988","title":"EMEA Account Executive","department":"Sales - AE","team":"Sales - AE","employmentType":"FullTime","location":"London, UK","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"EMEA - Remote","address":{"postalAddress":{"addressCountry":""}}}],"publishedAt":"2026-03-09T19:22:14.219+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"England","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/cdecda60-85d8-4b7f-94db-c4665b3d5988","applyUrl":"https://jobs.ashbyhq.com/deepgram/cdecda60-85d8-4b7f-94db-c4665b3d5988/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Based in an EMEA time zone with strong overlap to customer business hours.
Excellent written and spoken English. Additional European languages are a strong plus.
Deepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!
Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings
Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness
Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers
Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing
Value having leadership that has tenure and a track record of success
Thrive working with A Players as cross-functional partners across GTM
Understand the importance of selling a product that is market validated and can deliver on its technical promise
Believe there should be no cap to upside and want control of account up-sell potential
Are passionate about what Deepgram is building and how we are changing what is possible with speech
Proven experience in a technical full-cycle sales role
Experience building your own pipeline from scratch and closing accounts
Consistent overachievement against sales targets in past experiences
Strong written and verbal communication skills
Empathy and a unique ability to understand customer needs
Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time
Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.
It Would Be Great If You Had
Familiarity with Challenger or Triangle sales methodology
Experience selling to a technical audience in a similar space
Experience selling developer tools, infrastructure, or AI/ML technologies.
Fluency in German, French, Dutch, or other major regional languages.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nNOTE: THIS ROLE IS BASED OUT OF THE EMEA TERRITORY.\n\n\n\n\nREGIONAL EXPECTATIONS\n\n - Based in an EMEA time zone with strong overlap to customer business hours.\n\n - Excellent written and spoken English. Additional European languages are a strong plus.\n\n\n\n\nOPPORTUNITY\n\nDeepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!\n\n\n\n\nWHAT YOU'LL DO\n\n - Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers\n\n - Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Believe there should be no cap to upside and want control of account up-sell potential\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Proven experience in a technical full-cycle sales role\n\n - Experience building your own pipeline from scratch and closing accounts\n\n - Consistent overachievement against sales targets in past experiences\n\n - Strong written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time\n\n - Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.\n\n - It Would Be Great If You Had\n\n - Familiarity with Challenger or Triangle sales methodology\n\n - Experience selling to a technical audience in a similar space\n\n - Experience selling developer tools, infrastructure, or AI/ML technologies.\n\n - Fluency in German, French, Dutch, or other major regional languages.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"68372d7d-b7a9-439e-a0a7-76690576aba4","title":"Software Engineer - Applied AI (Senior or Staff Level)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"New York City, NY","address":{"postalAddress":{"addressRegion":"NY","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-07-04T00:07:30.026+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/68372d7d-b7a9-439e-a0a7-76690576aba4","applyUrl":"https://jobs.ashbyhq.com/deepgram/68372d7d-b7a9-439e-a0a7-76690576aba4/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
The opportunity
We are seeking an engineer to join our Applied AI team dedicated to solving the toughest problems in voice AI for enterprise customers.
We work directly with some of the largest companies deploying voice AI - from leading conversational AI and customer experience platforms to restaurant enterprises and technology partners - taking on the problems that don't have off-the-shelf answers. Much of the work is zero to one.
Current focus areas include:
Ultra-robust ASR in noisy outdoor environments
Self-service fine-tuning and model adaptation for large enterprise customers
High-accuracy, domain-aware voice agents, including drive-thru and phone ordering
Robust scoring and evaluation of agents
Real-time analytics and operational intelligence
Deeper, more reliable on-site hardware integration
We partner with several leading enterprises today and continue to expand these partnerships.
What you'll do
Design, develop, and maintain scalable, high-performance backend systems for our platform
Improve speech-to-text and text-to-speech quality across an array of environments
Expand robust scoring and evaluation of our agents
Fine-tune and adapt models for customer-specific vocabulary and domains
Optimize the AI pipeline to improve performance in challenging audio environments, robustly handle ambiguous customer requests, and rapidly scale to new domains
Run experiments to validate the product impact of new functionality
Collaborate closely with the team to ensure seamless integration between our ML models, backend and client devices
It's important to us that you have
4+ years of hands-on experience in developing, implementing, and maintaining cloud infrastructure in production
Hands-on applied AI/ML experience that goes beyond using LLMs — training, fine-tuning or adapting models yourself
Experience evaluating AI systems, such as building evaluation or scoring for models or agents
Excellent problem-solving skills and the ability to adapt to a rapidly evolving startup environment
Strong communication skills and the ability to work collaboratively with a team
Willingness to problem solve across our entire product
Ability to proactively recognize problems and identify solutions to those problems
Results oriented and care about the impact of your work
It would be great if you had
Experience working with audio
Experience with speech-to-text or text-to-speech models
Applied research experience, or a background as a research engineer
Experience taking a system from zero to one
Experience building and maintaining a system that integrates with many 3rd party APIs, particularly Point of Sale systems
Experience with Python, Kotlin, or TypeScript
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nThe opportunity\n\nWe are seeking an engineer to join our Applied AI team dedicated to solving the toughest problems in voice AI for enterprise customers.\n\nWe work directly with some of the largest companies deploying voice AI - from leading conversational AI and customer experience platforms to restaurant enterprises and technology partners - taking on the problems that don't have off-the-shelf answers. Much of the work is zero to one.\n\n\n\nCurrent focus areas include:\n\n - Ultra-robust ASR in noisy outdoor environments\n\n - Self-service fine-tuning and model adaptation for large enterprise customers\n\n - High-accuracy, domain-aware voice agents, including drive-thru and phone ordering\n\n - Robust scoring and evaluation of agents\n\n - Real-time analytics and operational intelligence\n\n - Deeper, more reliable on-site hardware integration\n\nWe partner with several leading enterprises today and continue to expand these partnerships.\n\n\n\nWhat you'll do\n\n - Design, develop, and maintain scalable, high-performance backend systems for our platform\n\n - Improve speech-to-text and text-to-speech quality across an array of environments\n\n - Expand robust scoring and evaluation of our agents\n\n - Fine-tune and adapt models for customer-specific vocabulary and domains\n\n - Optimize the AI pipeline to improve performance in challenging audio environments, robustly handle ambiguous customer requests, and rapidly scale to new domains\n\n - Run experiments to validate the product impact of new functionality\n\n - Collaborate closely with the team to ensure seamless integration between our ML models, backend and client devices\n\n\n\nIt's important to us that you have\n\n - 4+ years of hands-on experience in developing, implementing, and maintaining cloud infrastructure in production\n\n - Hands-on applied AI/ML experience that goes beyond using LLMs — training, fine-tuning or adapting models yourself\n\n - Experience evaluating AI systems, such as building evaluation or scoring for models or agents\n\n - Excellent problem-solving skills and the ability to adapt to a rapidly evolving startup environment\n\n - Strong communication skills and the ability to work collaboratively with a team\n\n - Willingness to problem solve across our entire product\n\n - Ability to proactively recognize problems and identify solutions to those problems\n\n - Results oriented and care about the impact of your work\n\n\n\nIt would be great if you had\n\n - Experience working with audio\n\n - Experience with speech-to-text or text-to-speech models\n\n - Applied research experience, or a background as a research engineer\n\n - Experience taking a system from zero to one\n\n - Experience building and maintaining a system that integrates with many 3rd party APIs, particularly Point of Sale systems\n\n - Experience with Python, Kotlin, or TypeScript\n\n - Bachelor's or Master's degree in Computer Science, Engineering, or a related field\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$197K – $307K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$197K - $307K","compensationTiers":[{"id":"64f23727-655f-4853-9194-e6c808a0eb15","tierSummary":"$197K – $246K • Offers Equity • Offers Bonus • 10% Bonus","title":"Senior Software Engineer","additionalInformation":"10% Bonus","components":[{"id":"c568f10a-17c6-4fde-bca1-98d1ecd3546f","summary":"$197K – $246K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":197000,"maxValue":246000},{"id":"f3abfebc-83a8-4f10-8e66-e19e3af33ab7","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"48f6d746-461b-43c9-9980-83889a39f44a","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]},{"id":"8d5169e6-b883-427e-8a4d-da465bc16761","tierSummary":"$246K – $307K • Offers Equity • Offers Bonus • 10% Bonus","title":"Staff Software Engineer","additionalInformation":"10% Bonus","components":[{"id":"c80af624-44ab-44a6-b6c6-fd9d0c5b5c04","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"29a44db0-5a8f-4614-882f-bb676cbc2a42","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"6c67ddc3-4a21-424d-adec-e8bf21a990de","summary":"$246K – $307K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":246000,"maxValue":307000}]}],"summaryComponents":[{"minValue":197000,"maxValue":307000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"EquityCashValue","minValue":null,"maxValue":null,"interval":"1 YEAR"}]}},{"id":"4cc235e0-f195-4f44-84f3-c30e07c4a388","title":"Customer Success Engineer (Singapore)","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"Singapore","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-07-07T14:54:09.308+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"Singapore"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/4cc235e0-f195-4f44-84f3-c30e07c4a388","applyUrl":"https://jobs.ashbyhq.com/deepgram/4cc235e0-f195-4f44-84f3-c30e07c4a388/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
NOTE: THIS IS A REMOTE ROLE THAT WILL BE BASED OUT OF SINGAPORE.
This is a rare chance to be one of the first people building Deepgram's business in Asia Pacific. You will help lay the foundation of how we serve customers across APAC. You will shape the playbook rather than inherit one, work directly with our lighthouse regional customers, and have visible impact on how an AI-native company scales in one of the world's most dynamic markets. If the idea of building something from the ground up energizes you, this role is for you.
Our Customer Success team, known as The Heartbeat of Deepgram, sits at the intersection of customers, product, and growth. We're not here just to \"manage accounts\"; we make Deepgram successful in our customers' environments by combining technical expertise with commercial impact. Customer Success Engineers are hands-on partners who ensure adoption, solve complex technical challenges, and highlight opportunities for expansion. At the same time, we bring back the insights that shape Deepgram's roadmap and the internal tools we build to support customers.
You are not a traditional CSM. You're a Customer Success Engineer, someone who thrives at the intersection of APIs, customer outcomes, and business growth. You have a strong technical foundation and are comfortable running demos, guiding architecture discussions, and helping customers integrate AI-driven solutions into their workflows. You're equally skilled at reading a room, building trust with executives, and uncovering growth opportunities that come from technical adoption. You've likely been a Technical Account Manager, Sales Engineer, Implementation Engineer, or Solutions Engineer, and you're excited to bring that blended experience to help customers realize value from day one and scale it over time.
As a Customer Success Engineer, you will nurture and grow relationships with strategic customers, leading initiatives that drive adoption, enablement, and measurable business outcomes. You will own the lifecycle for assigned customers from onboarding and enablement through engagement, performance analysis, and expansion.
You will be pivotal in aligning customer strategies with Deepgram's roadmap and strategy, ensuring both Deepgram and our customers achieve shared success.
Act as a technical expert and strategic advisor to enterprise customers, engaging directly with developers, engineers, and executives to align business goals with technical solutions.
Build, nurture, and sustain customer relationships across all personas interacting with Deepgram (from developers and program managers to CIOs, CTOs, and other C-level stakeholders).
Conduct regular on-site visits with customers to partner closely, work hands-on to drive adoption, and actively embed Deepgram into their workflows. Frequent travel may be required.
Own and manage the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.
Focus on making Deepgram successful in the customer's environment; ensuring products are integrated, enabled, and adopted effectively, applying best practices, reference architectures, and creative solutions to drive outcomes.
Continuously operate in discovery mode, surfacing customer issues, deeply understanding their complexity and business impact, and translating them into actionable requirements for internal teams.
Confidently run live product demos, guide architecture discussions, and troubleshoot technical issues, bridging the gap between solutions design and commercial growth.
Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies.
Leverage AI to amplify your impact; be an expert in how Customer Success can apply AI to drive customer outcomes, surface insights, and improve internal systems.
Proactively identify and scope opportunities for expansion (cross-sell, upsell, multi-product adoption), partnering with Sales.
Develop and execute structured customer success plans that align business outcomes with Deepgram's product capabilities.
Proactively initiate and lead executive business reviews, joint planning sessions, and strategy workshops to stay ahead of risks, ensure alignment, and surface opportunities for growth.
Serve as the voice of the customer internally, influencing product roadmap, GTM strategy, and even the internal tools and processes we build to support customers.
Track, analyze, and report on key performance indicators (adoption, usage, health, satisfaction, expansion, and overall revenue impact).
Thrive at the intersection of sales engineering, account management, and customer success.
Have high EQ and a high learning index, you read the room, adapt your style, and quickly absorb technical and business complexity.
Are a strong communicator who can keep many stakeholders aligned and focused, often through constant updates and over-communication on status and ownership.
Are energized by technical problem-solving, live demos, and translating support questions into growth conversations or business outcomes.
See customer health and technical adoption not as endpoints but as the fuel for revenue expansion.
Value collaboration and thrive in high-growth, fast-paced environments where priorities shift quickly.
Have a high degree of integrity and can work both collaboratively and independently in a remote WFH environment. Being self-directed is key to staying proactive.
Enjoy leveraging data to guide decisions, uncover insights, and identify opportunities for program improvement.
Are persistent, resourceful, and able to adapt your communication style to suit both technical and business audiences.
Are thoughtful in your approach and constantly question the status quo. Just because we do things a certain way, doesn't mean it's the best way!
7-10+ years in Technical Account Management, Sales Engineering, and/or Enterprise Customer Success (with strong technical focus), at innovative, API-driven technology companies (developer-first, developer tools, or emerging AI/tech).
A proven track record in roles that blend customer engagement with technical expertise, navigating between solution design, technical problem-solving, and commercial growth.
Hands-on experience running product demos, POCs, or technical workshops with enterprise customers.
Demonstrated success identifying expansions, cross-sell, and upsell opportunities in complex enterprise accounts.
Strong technical aptitude: able to discuss APIs and developer workflows, and hold fluent technical conversations with engineers and architects.
Experience engaging across technical teams (developers, architects, support) and executive buyers (CIO, CTO, VP Engineering, etc.).
Exceptional interpersonal, communication and collaboration skills, with proven ability to influence internal and external stakeholders (including executives, technical teams, and sales).
A strong sense of ownership and stewardship for your customers, and a keen focus on developing a strong personal brand.
A background spanning solutions engineering or technical account management in addition to CSM responsibilities.
Experience working in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies.
Familiarity with automation tools, advanced analytics, and/or basic scripting that help you move faster and smarter.
If you love operating where innovation and relationship management intersect, and you want to help build something from the ground up, we'd like to hear from you.
We offer best-in-class benefits, localized to your market.
This includes comprehensive health coverage, generous paid time off, paid parental leave, meaningful learning and development support, and stipends to help you do your best work. Specific benefits are administered locally and governed by country-specific regulations.
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!
Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.
We are happy to provide accommodations for applicants who need them.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nNOTE: THIS IS A REMOTE ROLE THAT WILL BE BASED OUT OF SINGAPORE.\n\n\n\n\nTHE OPPORTUNITY\n\nThis is a rare chance to be one of the first people building Deepgram's business in Asia Pacific. You will help lay the foundation of how we serve customers across APAC. You will shape the playbook rather than inherit one, work directly with our lighthouse regional customers, and have visible impact on how an AI-native company scales in one of the world's most dynamic markets. If the idea of building something from the ground up energizes you, this role is for you.\n\n\n\nOur Customer Success team, known as The Heartbeat of Deepgram, sits at the intersection of customers, product, and growth. We're not here just to \"manage accounts\"; we make Deepgram successful in our customers' environments by combining technical expertise with commercial impact. Customer Success Engineers are hands-on partners who ensure adoption, solve complex technical challenges, and highlight opportunities for expansion. At the same time, we bring back the insights that shape Deepgram's roadmap and the internal tools we build to support customers.\n\n\n\nWHO YOU ARE\n\nYou are not a traditional CSM. You're a Customer Success Engineer, someone who thrives at the intersection of APIs, customer outcomes, and business growth. You have a strong technical foundation and are comfortable running demos, guiding architecture discussions, and helping customers integrate AI-driven solutions into their workflows. You're equally skilled at reading a room, building trust with executives, and uncovering growth opportunities that come from technical adoption. You've likely been a Technical Account Manager, Sales Engineer, Implementation Engineer, or Solutions Engineer, and you're excited to bring that blended experience to help customers realize value from day one and scale it over time.\n\nAs a Customer Success Engineer, you will nurture and grow relationships with strategic customers, leading initiatives that drive adoption, enablement, and measurable business outcomes. You will own the lifecycle for assigned customers from onboarding and enablement through engagement, performance analysis, and expansion.\n\nYou will be pivotal in aligning customer strategies with Deepgram's roadmap and strategy, ensuring both Deepgram and our customers achieve shared success.\n\n\n\n\nWHAT YOU'LL DO\n\n - Act as a technical expert and strategic advisor to enterprise customers, engaging directly with developers, engineers, and executives to align business goals with technical solutions.\n\n - Build, nurture, and sustain customer relationships across all personas interacting with Deepgram (from developers and program managers to CIOs, CTOs, and other C-level stakeholders).\n\n - Conduct regular on-site visits with customers to partner closely, work hands-on to drive adoption, and actively embed Deepgram into their workflows. Frequent travel may be required.\n\n - Own and manage the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.\n\n - Focus on making Deepgram successful in the customer's environment; ensuring products are integrated, enabled, and adopted effectively, applying best practices, reference architectures, and creative solutions to drive outcomes.\n\n - Continuously operate in discovery mode, surfacing customer issues, deeply understanding their complexity and business impact, and translating them into actionable requirements for internal teams.\n\n - Confidently run live product demos, guide architecture discussions, and troubleshoot technical issues, bridging the gap between solutions design and commercial growth.\n\n - Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies.\n\n - Leverage AI to amplify your impact; be an expert in how Customer Success can apply AI to drive customer outcomes, surface insights, and improve internal systems.\n\n - Proactively identify and scope opportunities for expansion (cross-sell, upsell, multi-product adoption), partnering with Sales.\n\n - Develop and execute structured customer success plans that align business outcomes with Deepgram's product capabilities.\n\n - Proactively initiate and lead executive business reviews, joint planning sessions, and strategy workshops to stay ahead of risks, ensure alignment, and surface opportunities for growth.\n\n - Serve as the voice of the customer internally, influencing product roadmap, GTM strategy, and even the internal tools and processes we build to support customers.\n\n - Track, analyze, and report on key performance indicators (adoption, usage, health, satisfaction, expansion, and overall revenue impact).\n\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Thrive at the intersection of sales engineering, account management, and customer success.\n\n - Have high EQ and a high learning index, you read the room, adapt your style, and quickly absorb technical and business complexity.\n\n - Are a strong communicator who can keep many stakeholders aligned and focused, often through constant updates and over-communication on status and ownership.\n\n - Are energized by technical problem-solving, live demos, and translating support questions into growth conversations or business outcomes.\n\n - See customer health and technical adoption not as endpoints but as the fuel for revenue expansion.\n\n - Value collaboration and thrive in high-growth, fast-paced environments where priorities shift quickly.\n\n - Have a high degree of integrity and can work both collaboratively and independently in a remote WFH environment. Being self-directed is key to staying proactive.\n\n - Enjoy leveraging data to guide decisions, uncover insights, and identify opportunities for program improvement.\n\n - Are persistent, resourceful, and able to adapt your communication style to suit both technical and business audiences.\n\n - Are thoughtful in your approach and constantly question the status quo. Just because we do things a certain way, doesn't mean it's the best way!\n\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 7-10+ years in Technical Account Management, Sales Engineering, and/or Enterprise Customer Success (with strong technical focus), at innovative, API-driven technology companies (developer-first, developer tools, or emerging AI/tech).\n\n - A proven track record in roles that blend customer engagement with technical expertise, navigating between solution design, technical problem-solving, and commercial growth.\n\n - Hands-on experience running product demos, POCs, or technical workshops with enterprise customers.\n\n - Demonstrated success identifying expansions, cross-sell, and upsell opportunities in complex enterprise accounts.\n\n - Strong technical aptitude: able to discuss APIs and developer workflows, and hold fluent technical conversations with engineers and architects.\n\n - Experience engaging across technical teams (developers, architects, support) and executive buyers (CIO, CTO, VP Engineering, etc.).\n\n - Exceptional interpersonal, communication and collaboration skills, with proven ability to influence internal and external stakeholders (including executives, technical teams, and sales).\n\n - A strong sense of ownership and stewardship for your customers, and a keen focus on developing a strong personal brand.\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - A background spanning solutions engineering or technical account management in addition to CSM responsibilities.\n\n - Experience working in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies.\n\n - Familiarity with automation tools, advanced analytics, and/or basic scripting that help you move faster and smarter.\n\nIf you love operating where innovation and relationship management intersect, and you want to help build something from the ground up, we'd like to hear from you.\n\n\n\nBENEFITS & PERKS\n\nWe offer best-in-class benefits, localized to your market. \nThis includes comprehensive health coverage, generous paid time off, paid parental leave, meaningful learning and development support, and stipends to help you do your best work. Specific benefits are administered locally and governed by country-specific regulations.\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\nWe are happy to provide accommodations for applicants who need them.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"9a030b32-d671-43e0-a221-4653bb73ba29","title":"Senior/Staff Software Engineer, Frontier Research","department":"Research","team":"Research","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"Ann Arbor, Michigan","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Ann Arbor"}}}],"publishedAt":"2026-08-23T17:43:54.220+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/9a030b32-d671-43e0-a221-4653bb73ba29","applyUrl":"https://jobs.ashbyhq.com/deepgram/9a030b32-d671-43e0-a221-4653bb73ba29/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram Research builds the speech-to-text and text-to-speech foundation models behind our platform. Today's scaling approaches won't deliver universal voice AI on their own. Audio is scarce, diverse, and high-dimensional, so we need new approaches. As the Research team's software engineer, you'll build the systems that make those experiments possible: training infrastructure, data pipelines, and evaluation tooling. You'll be an individual contributor working side by side with research scientists, data and infrastructure engineers, and product. Most of this work starts from a blank page, so you'll spend less time waiting on tickets and more time writing the spec.
Shorten the STT/TTS model development cycle, from data prep through training and evaluation, by architecting horizontally scalable training systems
Build high-throughput pipelines that ingest, version, and preprocess large, diverse sets of unstructured audio and text
Own research infrastructure end to end, including distributed training, job orchestration, experiment tracking, and storage, in partnership with the Infrastructure team
Ship automated evaluation tooling so researchers can validate or kill ideas quickly
Turn promising research proofs-of-concept into production-grade systems that ship in Deepgram's STT and TTS models
Build internal tools and dashboards that give non-technical stakeholders visibility into, and control over, ML workflows
Set technical direction for research infrastructure by writing the design docs that define what gets built next
Builds the first version of a system from a blank page with little direction, and writes the design or spec others build from
Hands-on with large-scale distributed training, including multi-node GPU training and high-throughput data pipelines
Fluent with container orchestration and ML lifecycle tooling such as Kubernetes, Docker, Prefect, and MLflow, or their equivalents
Engineers data systems for large volumes of unstructured data, covering storage, versioning, and preprocessing at scale
Has taken a research prototype from notebook to a system other people rely on
Partners closely with researchers through shifting timelines and failed experiments, and can find the one experiment that settles a question
Operates AI-native: uses and builds AI tools to amplify your own output, and can quickly build useful internal UIs with them
Explains ML systems clearly to researchers and non-technical stakeholders alike
Hands-on training or evaluating speech/audio models (ASR, STT, TTS), or LLM experience with a clear path to audio
Has worked embedded with a research team where priorities shift with experimental results
Contributions to open-source speech or ML tooling (e.g., ESPnet, NeMo, SpeechBrain, WhisperX)
Typically ~5–12 years building software or ML systems, or equivalent demonstrated experience; advanced degree or equivalent industry experience.
We know the confidence gap and imposter syndrome can get in the way of meeting great candidates — so please don't hesitate to apply. We'd love to hear from you.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTEAM OVERVIEW\n\nDeepgram Research builds the speech-to-text and text-to-speech foundation models behind our platform. Today's scaling approaches won't deliver universal voice AI on their own. Audio is scarce, diverse, and high-dimensional, so we need new approaches. As the Research team's software engineer, you'll build the systems that make those experiments possible: training infrastructure, data pipelines, and evaluation tooling. You'll be an individual contributor working side by side with research scientists, data and infrastructure engineers, and product. Most of this work starts from a blank page, so you'll spend less time waiting on tickets and more time writing the spec.\n\n\n\n\nKEY GOALS\n\n - Shorten the STT/TTS model development cycle, from data prep through training and evaluation, by architecting horizontally scalable training systems\n\n - Build high-throughput pipelines that ingest, version, and preprocess large, diverse sets of unstructured audio and text\n\n - Own research infrastructure end to end, including distributed training, job orchestration, experiment tracking, and storage, in partnership with the Infrastructure team\n\n - Ship automated evaluation tooling so researchers can validate or kill ideas quickly\n\n - Turn promising research proofs-of-concept into production-grade systems that ship in Deepgram's STT and TTS models\n\n - Build internal tools and dashboards that give non-technical stakeholders visibility into, and control over, ML workflows\n\n - Set technical direction for research infrastructure by writing the design docs that define what gets built next\n\n\n\n\nMINIMUM SKILLS, KNOWLEDGE & CAPABILITIES\n\n - Builds the first version of a system from a blank page with little direction, and writes the design or spec others build from\n\n - Hands-on with large-scale distributed training, including multi-node GPU training and high-throughput data pipelines\n\n - Fluent with container orchestration and ML lifecycle tooling such as Kubernetes, Docker, Prefect, and MLflow, or their equivalents\n\n - Engineers data systems for large volumes of unstructured data, covering storage, versioning, and preprocessing at scale\n\n - Has taken a research prototype from notebook to a system other people rely on\n\n - Partners closely with researchers through shifting timelines and failed experiments, and can find the one experiment that settles a question\n\n - Operates AI-native: uses and builds AI tools to amplify your own output, and can quickly build useful internal UIs with them\n\n - Explains ML systems clearly to researchers and non-technical stakeholders alike\n\n\n\n\nPREFERRED QUALIFICATIONS (NICE-TO-HAVE, NOT REQUIRED)\n\n - Hands-on training or evaluating speech/audio models (ASR, STT, TTS), or LLM experience with a clear path to audio\n\n - Has worked embedded with a research team where priorities shift with experimental results\n\n - Contributions to open-source speech or ML tooling (e.g., ESPnet, NeMo, SpeechBrain, WhisperX)\n\n - Typically ~5–12 years building software or ML systems, or equivalent demonstrated experience; advanced degree or equivalent industry experience.\n\n\n\nWe know the confidence gap and imposter syndrome can get in the way of meeting great candidates — so please don't hesitate to apply. We'd love to hear from you.\n\n\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$150K – $250K • Offers Equity • Offers Bonus • 10% Annual Bonus","scrapeableCompensationSalarySummary":"$150K - $250K","compensationTiers":[{"id":"5ab8edfb-efa1-4d86-b145-ee36cf6bf6a0","tierSummary":"Estimated Base Salary $150K – $250K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":null,"additionalInformation":"10% Annual Bonus","components":[{"id":"945257a6-9aa9-4230-8c6b-439be19cfcbe","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"f40b5ea0-fba5-440f-9ee9-708cb392b54a","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"2bcfb8bc-9760-4f1c-b71b-036df0d72563","summary":"Estimated Base Salary $150K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":250000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":250000}]}},{"id":"7c7064bb-2bf0-4f64-81cc-14afe79a15c1","title":"Backend Software Engineer - Engine Team (Voice Agent)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-02-18T20:51:56.568+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/7c7064bb-2bf0-4f64-81cc-14afe79a15c1","applyUrl":"https://jobs.ashbyhq.com/deepgram/7c7064bb-2bf0-4f64-81cc-14afe79a15c1/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Opportunity
Deepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s Voice Agent product. You will design and implement secure, robust, and scalable services for speech processing; build integrations supporting telephony providers, RAG systems, and diverse deployment scenarios; engineer for testability and observability within a complex chain of AI models; and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish.
What You’ll Do
Improve Deepgram’s core inference services including areas in networking, speech processing, model orchestration, and observability
Develop integrations with cutting edge in-house, third-party, and open-source AI models for perception and managing conversational dynamics
Debug complex system issues that include networking, scheduling, and highly concurrent workloads
Rapidly customize backend services to support our customer needs
Partner with Product to design and implement new services, features, and/or products end to end
You’ll Love This Role If You
Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity
Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work
It’s Important To Us That You Have
3+ years of experience in an industry role
Programming experience in Rust (or C, C++), with competence in Python
Excellent communication and organizational skills, both written and verbal.
A high level of experience and understanding of version control; preferably git.
Comprehensive experience with UNIX-style systems.
It Would Be Great If You Had
Experience with low-latency, multi-model orchestration for AI-enabled applications
Experience with audio processing
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nOpportunity\n\nDeepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s Voice Agent product. You will design and implement secure, robust, and scalable services for speech processing; build integrations supporting telephony providers, RAG systems, and diverse deployment scenarios; engineer for testability and observability within a complex chain of AI models; and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish.\n\n\n\nWhat You’ll Do\n\n - Improve Deepgram’s core inference services including areas in networking, speech processing, model orchestration, and observability\n\n - Develop integrations with cutting edge in-house, third-party, and open-source AI models for perception and managing conversational dynamics\n\n - Debug complex system issues that include networking, scheduling, and highly concurrent workloads\n\n - Rapidly customize backend services to support our customer needs\n\n - Partner with Product to design and implement new services, features, and/or products end to end\n\n\n\nYou’ll Love This Role If You\n\n - Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity\n\n - Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work\n\n\n\nIt’s Important To Us That You Have\n\n - 3+ years of experience in an industry role\n\n - Programming experience in Rust (or C, C++), with competence in Python\n\n - Excellent communication and organizational skills, both written and verbal.\n\n - A high level of experience and understanding of version control; preferably git.\n\n - Comprehensive experience with UNIX-style systems.\n\n\n\nIt Would Be Great If You Had\n\n - Experience with low-latency, multi-model orchestration for AI-enabled applications\n\n - Experience with audio processing\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$150K – $220K • Offers Equity • Offers Bonus • 10% Annual Bonus","scrapeableCompensationSalarySummary":"$150K - $220K","compensationTiers":[{"id":"d16f8cce-3c4e-42bf-8a1d-d5e1245914ff","tierSummary":"Estimated Base Salary $150K – $220K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":null,"additionalInformation":"10% Annual Bonus","components":[{"id":"4a834381-fa07-4bec-a2b9-adfccbbd9a94","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"26685692-0b4c-46c4-9682-d28ca3c48085","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"7bde59a1-9f2b-4b4f-a7e1-917a422b352b","summary":"Estimated Base Salary $150K – $220K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":220000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":220000}]}},{"id":"4a873ede-8555-42ae-9ddc-ac89afdd7278","title":"Software Engineer, Voice Agents & AI (Senior or Staff Level)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"New York City, NY","address":{"postalAddress":{"addressRegion":"NY","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-07-04T00:07:39.953+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/4a873ede-8555-42ae-9ddc-ac89afdd7278","applyUrl":"https://jobs.ashbyhq.com/deepgram/4a873ede-8555-42ae-9ddc-ac89afdd7278/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
We are seeking a Software Engineer to join our Enterprise AI team, a new, vertically focused business unit dedicated to solving the toughest problems in the space, working alongside Deepgram’s core research teams.
We’ll be working directly with leading restaurant enterprises and leading restaurant technology partners to uncover and solve the highest-impact problems in the space. Early focus areas include:
Ultra-robust ASR in noisy, multi-mic environments
High-accuracy, menu-aware drive-thru and phone ordering agents
Real-time analytics and operational intelligence
Deeper, more reliable in-restaurant hardware integration
We are already partnering with several leading brands and will continue expanding these efforts
Design, develop, and maintain scalable, high-performance backend systems for our automated order-taking platform
Collaborate closely with our team to ensure the seamless integration of our backend with our ML models and client devices
Monitor and optimize the performance of our backend systems in production environments
Build and maintain integrations with 3rd party restaurant software systems like POS, loyalty, payment gateways, and customer data platforms
Implement best practices in system design, code quality, and testing to ensure a reliable, secure, and maintainable system
Optimize AI pipeline to improve performance in challenging audio environments, robustly handle ambiguous customer requests, and rapidly scale to new menus
Push the very boundaries of LLMs and voice AI technology to solve one of the technology industry’s historically elusive challenges
Run experiments to validate the product impact of new functionality
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
4+ years of hands-on experience in developing, implementing, and maintaining backend infrastructure in production environments
Proven track record of building and deploying scalable, high-performance backend systems
Experience with cloud-based infrastructure and deployment technologies, such as AWS and API design
Excellent problem-solving skills and the ability to adapt to a rapidly evolving startup environment
Strong communication skills and the ability to work collaboratively with a team
Willingness to problem solve across our entire product
Ability to proactively recognize problems and identify solutions to those problems
Results oriented and care about the impact of your work
Experience working with audio
Experience taking a backend system from zero to one
Experience building and maintaining a system that integrates with many 3rd party APIs, particularly Point of Sale systems
Experience with Python, Kotlin, or Java
Experience with containerization tools, such as Docker and Kubernetes
Experience working in or alongside AI / ML
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY:\n\nWe are seeking a Software Engineer to join our Enterprise AI team, a new, vertically focused business unit dedicated to solving the toughest problems in the space, working alongside Deepgram’s core research teams.\n\nWe’ll be working directly with leading restaurant enterprises and leading restaurant technology partners to uncover and solve the highest-impact problems in the space. Early focus areas include:\n\n - Ultra-robust ASR in noisy, multi-mic environments\n\n - High-accuracy, menu-aware drive-thru and phone ordering agents\n\n - Real-time analytics and operational intelligence\n\n - Deeper, more reliable in-restaurant hardware integration\n\nWe are already partnering with several leading brands and will continue expanding these efforts\n\n\n\n\nWHAT YOU’LL DO\n\n - Design, develop, and maintain scalable, high-performance backend systems for our automated order-taking platform\n\n - Collaborate closely with our team to ensure the seamless integration of our backend with our ML models and client devices\n\n - Monitor and optimize the performance of our backend systems in production environments\n\n - Build and maintain integrations with 3rd party restaurant software systems like POS, loyalty, payment gateways, and customer data platforms\n\n - Implement best practices in system design, code quality, and testing to ensure a reliable, secure, and maintainable system\n\n - Optimize AI pipeline to improve performance in challenging audio environments, robustly handle ambiguous customer requests, and rapidly scale to new menus\n\n - Push the very boundaries of LLMs and voice AI technology to solve one of the technology industry’s historically elusive challenges\n\n - Run experiments to validate the product impact of new functionality\n\n\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Bachelor's or Master's degree in Computer Science, Engineering, or a related field\n\n - 4+ years of hands-on experience in developing, implementing, and maintaining backend infrastructure in production environments\n\n - Proven track record of building and deploying scalable, high-performance backend systems\n\n - Experience with cloud-based infrastructure and deployment technologies, such as AWS and API design\n\n - Excellent problem-solving skills and the ability to adapt to a rapidly evolving startup environment\n\n - Strong communication skills and the ability to work collaboratively with a team\n\n - Willingness to problem solve across our entire product\n\n - Ability to proactively recognize problems and identify solutions to those problems\n\n - Results oriented and care about the impact of your work\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience working with audio\n\n - Experience taking a backend system from zero to one\n\n - Experience building and maintaining a system that integrates with many 3rd party APIs, particularly Point of Sale systems\n\n - Experience with Python, Kotlin, or Java\n\n - Experience with containerization tools, such as Docker and Kubernetes\n\n - Experience working in or alongside AI / ML\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$197K – $307K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$197K - $307K","compensationTiers":[{"id":"a43545fa-de17-428a-972c-a80d14776663","tierSummary":"San Francisco & NYC Tier 1 Salary Range $197K – $246K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":"Senior Software Engineer","additionalInformation":"10% Annual Bonus","components":[{"id":"1840eb96-242c-4f09-865f-9665b6e9c288","summary":"San Francisco & NYC Tier 1 Salary Range $197K – $246K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":197000,"maxValue":246000},{"id":"c29fd66e-96ac-4528-be8b-57180f00ee59","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"16f0b81e-aa61-493b-a195-1397ff0e2a06","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]},{"id":"ddd0b13b-8365-44df-a535-825264b40db4","tierSummary":"San Francisco & NYC Tier 1 Salary Range $246K – $307K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":"Staff Software Engineer","additionalInformation":"10% Annual Bonus","components":[{"id":"3817acaf-52d6-467d-bedc-80e71df7dc40","summary":"San Francisco & NYC Tier 1 Salary Range $246K – $307K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":246000,"maxValue":307000},{"id":"fa88124b-8758-4b84-9d52-e83330a8c92a","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"7400c3b9-152c-4d19-a375-1daacc752195","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"minValue":197000,"maxValue":307000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"EquityCashValue","minValue":null,"maxValue":null,"interval":"1 YEAR"}]}},{"id":"dcbd7bf3-59b0-4ea8-a5e8-425e01f8fd53","title":"Associate General Counsel Corporate","department":"Legal","team":"Legal","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-09-09T23:53:01.819+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/dcbd7bf3-59b0-4ea8-a5e8-425e01f8fd53","applyUrl":"https://jobs.ashbyhq.com/deepgram/dcbd7bf3-59b0-4ea8-a5e8-425e01f8fd53/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
We're looking for an exceptional corporate lawyer to join our high-impact legal team and own the corporate function at a company operating at the frontier of voice AI.
Deepgram is at an inflection point and our legal team has a real seat at the table. We're growing fast, the market is coming to voice, and the decisions we make now about how this company is structured, financed, and governed will set the pace for the next decade. You’ll be the lead lawyer on financing and M&A transactions, IPO readiness, corporate governance, and our international structure — and the person who takes the long view on all of it.
This role is ideal for someone with genuine conviction that voice is the most consequential interface with AI, and who wants to build the corporate function of the company defining it.
You'll report directly to our General Counsel and help establish a legal function that scales with a company on a steep trajectory, using AI as your default mode of working to set the standard for what AI-native legal work looks like.
What You’ll Do
Direct corporate governance at Deepgram, building the habits and systems that help us move with clarity and confidence.
Drive the legal roadmap for IPO readiness — the compliance frameworks, future SEC reporting structures, and internal governance policies a public company runs on
Prepare for, structure and execute financings that support our ambitions
Lead our M&A legal work from conversation through integration to grow the company and widen what we're able to build
Partner with Finance and People on employee equity — compensation programs, cap table, secondaries — and mature the machinery behind how every employee shares in what they build here
Design the legal and business processes that let us scale globally with international subsidiaries
Track the worldwide regulatory developments that touch our corporate structure and governance, and translate them into positions the company can act on
Build the AI-native corporate practice at Deepgram with workflows and systems that scale our team's impact
Roll up your sleeves on the full breadth of legal issues that come with being a fast-growing startup
You’ll Love This Role If You
Want to take a company through the whole arc — growth rounds, acquisitions, and the road to public — and want your fingerprints on how it gets built
Treat the cap table, the board, and the corporate structure as products with users, not paperwork
Get energized by being the first — building systems from scratch and establishing foundational practices
Are very practical in addressing legal issues and allergic to unnecessary friction
Have an abiding spirit of idealism about your chosen profession — you’re not just closing deals, you’re building something that matters
Have a point of view on what good lawyering looks like and a healthy sense of humor about everything else
It’s Important To Us That You Have
JD from a U.S. accredited law school and 7–15 years of experience in legal practice (or more), in-house, at a firm, or both
Demonstrated strength in working with private, venture backed companies on a high growth trajectory, including on IPO readiness.
Fluency in the issues that matter most to us: IPO readiness, financings, M&A, governance, Board matters, employee equity, and international structures. A successful candidate will have depth of experience in at least some of these areas, and a willingness to learn the rest.
Recognize that law is about the grey areas, and are comfortable living in them, while giving clear and actionable advice.
Exceptional writing — precise, plain, and compelling
It Would Be Great if You Had
Experience taking a company public as an in-house lawyer — you know what good looks like and how to build legal infrastructure that accelerates this roadmap
Hands-on experience with corporate and legal issues in the AI space
We read cover letters! If you want to stand out, pick one: Tell us about a time your corporate work let the business do something it otherwise couldn't — what the constraint was, what you built, and what it opened up. Or tell us what fast-growing private companies most often get wrong about how they're structured or governed, and what good looks like instead.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nWe're looking for an exceptional corporate lawyer to join our high-impact legal team and own the corporate function at a company operating at the frontier of voice AI.\n\nDeepgram is at an inflection point and our legal team has a real seat at the table. We're growing fast, the market is coming to voice, and the decisions we make now about how this company is structured, financed, and governed will set the pace for the next decade. You’ll be the lead lawyer on financing and M&A transactions, IPO readiness, corporate governance, and our international structure — and the person who takes the long view on all of it.\n\n\n\nThis role is ideal for someone with genuine conviction that voice is the most consequential interface with AI, and who wants to build the corporate function of the company defining it.\n\n\n\nYou'll report directly to our General Counsel and help establish a legal function that scales with a company on a steep trajectory, using AI as your default mode of working to set the standard for what AI-native legal work looks like.\n\n\n\nWhat You’ll Do\n\n - Direct corporate governance at Deepgram, building the habits and systems that help us move with clarity and confidence.\n\n - Drive the legal roadmap for IPO readiness — the compliance frameworks, future SEC reporting structures, and internal governance policies a public company runs on\n\n - Prepare for, structure and execute financings that support our ambitions\n\n - Lead our M&A legal work from conversation through integration to grow the company and widen what we're able to build\n\n - Partner with Finance and People on employee equity — compensation programs, cap table, secondaries — and mature the machinery behind how every employee shares in what they build here\n\n - Design the legal and business processes that let us scale globally with international subsidiaries\n\n - Track the worldwide regulatory developments that touch our corporate structure and governance, and translate them into positions the company can act on\n\n - Build the AI-native corporate practice at Deepgram with workflows and systems that scale our team's impact\n\n - Roll up your sleeves on the full breadth of legal issues that come with being a fast-growing startup\n\n\n\nYou’ll Love This Role If You\n\n - Want to take a company through the whole arc — growth rounds, acquisitions, and the road to public — and want your fingerprints on how it gets built\n\n - Treat the cap table, the board, and the corporate structure as products with users, not paperwork\n\n - Get energized by being the first — building systems from scratch and establishing foundational practices\n\n - Are very practical in addressing legal issues and allergic to unnecessary friction\n\n - Have an abiding spirit of idealism about your chosen profession — you’re not just closing deals, you’re building something that matters\n\n - Have a point of view on what good lawyering looks like and a healthy sense of humor about everything else\n\n\n\nIt’s Important To Us That You Have\n\n - JD from a U.S. accredited law school and 7–15 years of experience in legal practice (or more), in-house, at a firm, or both\n\n - Demonstrated strength in working with private, venture backed companies on a high growth trajectory, including on IPO readiness.\n\n - Fluency in the issues that matter most to us: IPO readiness, financings, M&A, governance, Board matters, employee equity, and international structures. A successful candidate will have depth of experience in at least some of these areas, and a willingness to learn the rest.\n\n - Recognize that law is about the grey areas, and are comfortable living in them, while giving clear and actionable advice.\n\n - Exceptional writing — precise, plain, and compelling\n\n\n\nIt Would Be Great if You Had\n\n - Experience taking a company public as an in-house lawyer — you know what good looks like and how to build legal infrastructure that accelerates this roadmap\n\n - Hands-on experience with corporate and legal issues in the AI space\n\nWe read cover letters! If you want to stand out, pick one: Tell us about a time your corporate work let the business do something it otherwise couldn't — what the constraint was, what you built, and what it opened up. Or tell us what fast-growing private companies most often get wrong about how they're structured or governed, and what good looks like instead.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$250K – $300K • Offers Equity • Offers Bonus • 10% Annual Performance Bonus","scrapeableCompensationSalarySummary":"$250K - $300K","compensationTiers":[{"id":"18c99da9-7e09-43bb-b8c7-1d73faab879e","tierSummary":"$250K – $300K • Offers Equity • Offers Bonus • 10% Annual Performance Bonus","title":null,"additionalInformation":"10% Annual Performance Bonus","components":[{"id":"3938bf3d-5563-4ec9-8060-516b19551520","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"11d258ae-2644-40bd-8cb4-1faaac5afd58","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"deb25a7c-af1f-4b9a-a857-d5fa9efce1ed","summary":"$250K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":250000,"maxValue":300000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":250000,"maxValue":300000}]}},{"id":"2fc57802-1d2d-4796-aaea-e00586dc6792","title":"Senior Forward-Deployed Engineer, Federal","department":"Applied Engineering","team":"Applied Engineering","employmentType":"FullTime","location":"Washington D.C.","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-03-06T17:44:04.903+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":"Washington D.C."}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/2fc57802-1d2d-4796-aaea-e00586dc6792","applyUrl":"https://jobs.ashbyhq.com/deepgram/2fc57802-1d2d-4796-aaea-e00586dc6792/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is seeking a Senior Forward Deployed Engineer to join our Applied Engineering team, with a focus on federal customers. In this role, you will embed directly with our most strategic federal accounts to lead complex deployments of Deepgram's Voice AI platform in production environments where mission performance matters, delivery is urgent, and ambiguity is the default.
Many of these deployments are on-prem, air-gapped, or on constrained hardware where cloud APIs aren’t an option. You’ll be one of the first engineers on Deepgram’s federal Applied Engineering team, helping define how Voice AI gets deployed across government.
You will own the full technical lifecycle of federal engagements, from initial discovery and proof-of-concept through production deployment and ongoing optimization. You'll map customer problems, structure delivery, and ship solutions fast. This includes scoping, sequencing, and building full-stack integrations that create measurable mission impact while driving clarity across internal and external teams. Along the way, you'll identify reusable patterns, codify best practices, and share field signals that influence Deepgram's product roadmap.
As a member of the Applied Engineering team, you'll serve as the trusted technical thought partner for federal stakeholders, guiding adoption, maximizing operational value, and ensuring successful deployments at scale. While your engagements will primarily involve federal customers, you'll remain a core part of the broader Applied Engineering team and may contribute to commercial engagements where your expertise is valuable.
Note: this role is based remotely out of the Washington D.C. Metropolitan area.
The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Sales Engineering, Solutions Architecture, Implementation, Forward-Deployed Engineering, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Relations (DevRel) teams to ensure a positive, growth-focused experience for our customers, as well as with Product and Engineering teams to deliver solutions that meet customer needs. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers.
As a Senior Applied Engineer operating in the FDE role for federal engagements, you'll work with a high degree of autonomy in customer environments that are often on-prem, air-gapped, or hardware-constrained, with strict compliance and security requirements. Your work will directly shape how federal agencies leverage Voice AI to achieve their missions.
Own technical delivery across federal deployments, from first prototype to stable production
Embed deeply with federal customers to design and build mission-critical applications powered by Deepgram's Voice AI models
Deploy and operate Deepgram’s models in self-hosted, air-gapped, and edge environments, working within the hardware, network, and accreditation constraints of each customer
Lead technical discovery and solution design for federal prospects and customers, partnering with Account Executives so that what gets scoped can actually be built and deployed
Prototype and build full-stack integrations using Python, JavaScript, Rust, or comparable stacks that deliver real mission impact
Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications
Proactively guide federal stakeholders on maximizing operational value from Deepgram's platform, including performance optimization and deployment strategies
Scope work, sequence delivery, and remove blockers early, making deliberate trade-offs between scope, speed, and quality
Build and manage relationships with customer leadership and technical stakeholders to ensure successful deployment and scale
Contribute directly to code when clarity or momentum depends on it
Codify working patterns into tools, playbooks, reference architectures, and building blocks the broader team can use
Share field feedback with Product and Engineering to influence model and product development
Serve as an escalation point for complex technical issues in federal deployments
Analyze deployment patterns to identify product improvement opportunities and inform Deepgram's federal go-to-market strategy
40% — Embedded customer delivery: deployments, integrations, and technical problem-solving at federal customer sites and facilities
25% — Pre-sales technical engagement: discovery, demos, proof-of-concepts, and proposal support
20% — Building reusable solutions, automation, documentation, and reference architectures
15% — Internal collaboration: product feedback, knowledge sharing, and contributing to Applied Engineering strategy
First 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Gain proficiency with our core APIs and documentation. Shadow active customer engagements across both commercial and federal accounts to build familiarity with how the Applied Engineering team operates, the deployment patterns we use, and the specific requirements of government environments.
60 Days: Begin taking ownership of federal customer engagements, leading technical discovery and developing proof-of-concepts for government prospects. Start contributing to federal-specific technical content, reference architectures, and deployment guides. Provide technical input on active federal opportunities, including what it will take to deploy in each customer’s environment.
90 Days: Own the full technical relationship with assigned federal accounts. Develop and deliver complex solutions addressing specific mission challenges. Establish patterns for repeatable federal deployments and begin contributing to the team's federal go-to-market methodology.
Want to help build a new federal engineering practice from the ground up
Thrive in high-ambiguity, mission-driven environments where you need to move fast and make sound decisions under pressure
Are passionate about translating complex technical capabilities into real operational value for government missions
Enjoy embedding deeply with customers, building trust, and becoming their go-to technical partner
Find satisfaction in shipping production systems that make a tangible difference
Are energized by the challenge of deploying cutting-edge Voice AI in complex, constrained environments
See yourself as an engineer first who happens to be great with customers, not the other way around
Can ruthlessly prioritize across multiple projects and operate with high autonomy
Active Top Secret clearance, or equivalent
5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments
Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript, or similar
Proven ability to scope and deliver complex systems in fast-moving or ambiguous contexts
Experience building and deploying production systems in government or similarly constrained environments
Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders, including senior government leadership
Willingness to travel up to 50%, including on-site work at government facilities
Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies
Familiarity with cloud deployment models (AWS GovCloud, Azure Government, etc.), Kubernetes, Terraform, and related infrastructure
Experience deploying software or models in on-prem, air-gapped, or edge environments
Experience building or deploying systems powered by LLMs or generative models, with an understanding of how model behavior affects product experience
Knowledge of FedRAMP, FISMA, or other government compliance frameworks
Experience with API-first products and developer tools
Exposure to federal sales or procurement cycles
Experience developing automation solutions, self-service tools, and technical documentation for customer enablement
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOPPORTUNITY\n\nDeepgram is seeking a Senior Forward Deployed Engineer to join our Applied Engineering team, with a focus on federal customers. In this role, you will embed directly with our most strategic federal accounts to lead complex deployments of Deepgram's Voice AI platform in production environments where mission performance matters, delivery is urgent, and ambiguity is the default.\n\nMany of these deployments are on-prem, air-gapped, or on constrained hardware where cloud APIs aren’t an option. You’ll be one of the first engineers on Deepgram’s federal Applied Engineering team, helping define how Voice AI gets deployed across government.\n\nYou will own the full technical lifecycle of federal engagements, from initial discovery and proof-of-concept through production deployment and ongoing optimization. You'll map customer problems, structure delivery, and ship solutions fast. This includes scoping, sequencing, and building full-stack integrations that create measurable mission impact while driving clarity across internal and external teams. Along the way, you'll identify reusable patterns, codify best practices, and share field signals that influence Deepgram's product roadmap.\n\nAs a member of the Applied Engineering team, you'll serve as the trusted technical thought partner for federal stakeholders, guiding adoption, maximizing operational value, and ensuring successful deployments at scale. While your engagements will primarily involve federal customers, you'll remain a core part of the broader Applied Engineering team and may contribute to commercial engagements where your expertise is valuable.\n\nNote: this role is based remotely out of the Washington D.C. Metropolitan area.\n\n\n\n\nABOUT APPLIED ENGINEERING AT DEEPGRAM\n\nThe Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Sales Engineering, Solutions Architecture, Implementation, Forward-Deployed Engineering, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Relations (DevRel) teams to ensure a positive, growth-focused experience for our customers, as well as with Product and Engineering teams to deliver solutions that meet customer needs. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers.\n\nAs a Senior Applied Engineer operating in the FDE role for federal engagements, you'll work with a high degree of autonomy in customer environments that are often on-prem, air-gapped, or hardware-constrained, with strict compliance and security requirements. Your work will directly shape how federal agencies leverage Voice AI to achieve their missions.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own technical delivery across federal deployments, from first prototype to stable production\n\n - Embed deeply with federal customers to design and build mission-critical applications powered by Deepgram's Voice AI models\n\n - Deploy and operate Deepgram’s models in self-hosted, air-gapped, and edge environments, working within the hardware, network, and accreditation constraints of each customer\n\n - Lead technical discovery and solution design for federal prospects and customers, partnering with Account Executives so that what gets scoped can actually be built and deployed\n\n - Prototype and build full-stack integrations using Python, JavaScript, Rust, or comparable stacks that deliver real mission impact\n\n - Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications\n\n - Proactively guide federal stakeholders on maximizing operational value from Deepgram's platform, including performance optimization and deployment strategies\n\n - Scope work, sequence delivery, and remove blockers early, making deliberate trade-offs between scope, speed, and quality\n\n - Build and manage relationships with customer leadership and technical stakeholders to ensure successful deployment and scale\n\n - Contribute directly to code when clarity or momentum depends on it\n\n - Codify working patterns into tools, playbooks, reference architectures, and building blocks the broader team can use\n\n - Share field feedback with Product and Engineering to influence model and product development\n\n - Serve as an escalation point for complex technical issues in federal deployments\n\n - Analyze deployment patterns to identify product improvement opportunities and inform Deepgram's federal go-to-market strategy\n\n\n\n\nTIME ALLOCATION\n\n - 40% — Embedded customer delivery: deployments, integrations, and technical problem-solving at federal customer sites and facilities\n\n - 25% — Pre-sales technical engagement: discovery, demos, proof-of-concepts, and proposal support\n\n - 20% — Building reusable solutions, automation, documentation, and reference architectures\n\n - 15% — Internal collaboration: product feedback, knowledge sharing, and contributing to Applied Engineering strategy\n\n\n\n\nYOUR FIRST 90 DAYS\n\nFirst 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Gain proficiency with our core APIs and documentation. Shadow active customer engagements across both commercial and federal accounts to build familiarity with how the Applied Engineering team operates, the deployment patterns we use, and the specific requirements of government environments.\n\n60 Days: Begin taking ownership of federal customer engagements, leading technical discovery and developing proof-of-concepts for government prospects. Start contributing to federal-specific technical content, reference architectures, and deployment guides. Provide technical input on active federal opportunities, including what it will take to deploy in each customer’s environment.\n\n90 Days: Own the full technical relationship with assigned federal accounts. Develop and deliver complex solutions addressing specific mission challenges. Establish patterns for repeatable federal deployments and begin contributing to the team's federal go-to-market methodology.\n\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Want to help build a new federal engineering practice from the ground up\n\n - Thrive in high-ambiguity, mission-driven environments where you need to move fast and make sound decisions under pressure\n\n - Are passionate about translating complex technical capabilities into real operational value for government missions\n\n - Enjoy embedding deeply with customers, building trust, and becoming their go-to technical partner\n\n - Find satisfaction in shipping production systems that make a tangible difference\n\n - Are energized by the challenge of deploying cutting-edge Voice AI in complex, constrained environments\n\n - See yourself as an engineer first who happens to be great with customers, not the other way around\n\n - Can ruthlessly prioritize across multiple projects and operate with high autonomy\n\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Active Top Secret clearance, or equivalent\n\n - 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments\n\n - Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript, or similar\n\n - Proven ability to scope and deliver complex systems in fast-moving or ambiguous contexts\n\n - Experience building and deploying production systems in government or similarly constrained environments\n\n - Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders, including senior government leadership\n\n - Willingness to travel up to 50%, including on-site work at government facilities\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies\n\n - Familiarity with cloud deployment models (AWS GovCloud, Azure Government, etc.), Kubernetes, Terraform, and related infrastructure\n\n - Experience deploying software or models in on-prem, air-gapped, or edge environments\n\n - Experience building or deploying systems powered by LLMs or generative models, with an understanding of how model behavior affects product experience\n\n - Knowledge of FedRAMP, FISMA, or other government compliance frameworks\n\n - Experience with API-first products and developer tools\n\n - Exposure to federal sales or procurement cycles\n\n - Experience developing automation solutions, self-service tools, and technical documentation for customer enablement\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$180K – $245K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$180K - $245K","compensationTiers":[{"id":"9b1811d6-109e-4104-aed5-955417eb4886","tierSummary":"$180K – $245K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"f834a53f-c1b2-4fdd-85cd-f1cf472c27d4","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"e31af55f-ad83-46fc-a0f0-5da1f30652f2","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"b2527c80-9def-42cf-bd60-a3a6865ee518","summary":"$180K – $245K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":245000}]}],"summaryComponents":[{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":245000}]}},{"id":"2084edc0-2df0-4bd4-b759-0f05c38d5ef5","title":"Backend Engineer- Inference Services","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-09T00:31:35.047+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/2084edc0-2df0-4bd4-b759-0f05c38d5ef5","applyUrl":"https://jobs.ashbyhq.com/deepgram/2084edc0-2df0-4bd4-b759-0f05c38d5ef5/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Opportunity:
Deepgram is looking for a Backend Software Engineer to join the Engine team to lead the design and implementation of Deepgram’s products. You will design and implement secure, robust, and scalable services for speech processing; efficient, distributed compute orchestration; optimized scheduling, and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish.
What You’ll Do
Improve Deepgram’s core inference services including areas in networking, speech processing, audio transcoding, and latency and memory optimization
Develop processes for measuring, building, and optimizing services to maximize system performance
Debug complex system issues that include networking, scheduling, and high performance computing interactions
Rapidly customize backend services to support our customer needs
Partner with Product to design and implement new services, features, and/or products end to end
You’ll Love This Role If You
Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity
Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work
It’s Important To Us That You Have
3+ years of experience in an industry role
Programming experience in Rust (or C, C++), with competence in Python
Excellent communication and organizational skills, both written and verbal.
A high level of experience and understanding of version control; preferably git.
Comprehensive experience with UNIX-style systems.
It Would Be Great if You Had
Experience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformers
Experience with audio processing
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nOpportunity:\n\nDeepgram is looking for a Backend Software Engineer to join the Engine team to lead the design and implementation of Deepgram’s products. You will design and implement secure, robust, and scalable services for speech processing; efficient, distributed compute orchestration; optimized scheduling, and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish.\n\n\n\nWhat You’ll Do\n\n - Improve Deepgram’s core inference services including areas in networking, speech processing, audio transcoding, and latency and memory optimization\n\n - Develop processes for measuring, building, and optimizing services to maximize system performance\n\n - Debug complex system issues that include networking, scheduling, and high performance computing interactions\n\n - Rapidly customize backend services to support our customer needs\n\n - Partner with Product to design and implement new services, features, and/or products end to end\n\n\n\nYou’ll Love This Role If You\n\n - Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity\n\n - Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work\n\n\n\nIt’s Important To Us That You Have\n\n - 3+ years of experience in an industry role\n\n - Programming experience in Rust (or C, C++), with competence in Python\n\n - Excellent communication and organizational skills, both written and verbal.\n\n - A high level of experience and understanding of version control; preferably git.\n\n - Comprehensive experience with UNIX-style systems.\n\n\n\nIt Would Be Great if You Had\n\n - Experience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformers\n\n - Experience with audio processing\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$150K – $220K • Offers Equity • Offers Bonus • 10% Annual Bonus","scrapeableCompensationSalarySummary":"$150K - $220K","compensationTiers":[{"id":"0ff11176-8959-41d2-96f5-84382dc03b89","tierSummary":"Estimated Base Salary $150K – $220K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":null,"additionalInformation":"10% Annual Bonus","components":[{"id":"ee538130-a6d2-4bfc-a3cc-07ed663d0f9f","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"4d4dbb96-025b-4d37-b883-2d65412c435a","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"263d4a49-566f-43fb-b83f-e9be959e3026","summary":"Estimated Base Salary $150K – $220K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":220000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":220000}]}},{"id":"b10db691-f77c-4a65-8f7c-ff9574f53f1e","title":"Senior Solutions Engineer, Federal","department":"Applied Engineering","team":"Applied Engineering","employmentType":"FullTime","location":"Washington D.C.","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-03-27T12:01:20.840+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":"Washington D.C."}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/b10db691-f77c-4a65-8f7c-ff9574f53f1e","applyUrl":"https://jobs.ashbyhq.com/deepgram/b10db691-f77c-4a65-8f7c-ff9574f53f1e/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is seeking a Senior Applied Engineer to join our Applied Engineering team, operating in the Solutions Engineer role with a focus on federal customers. In this role, you will embed directly with our most strategic federal accounts to lead complex deployments of Deepgram's Voice AI platform in production environments where mission performance matters, delivery is urgent, and ambiguity is the default.
You will own the full technical lifecycle of federal engagements, from initial discovery and proof-of-concept through production deployment and ongoing optimization. You'll map customer problems, structure delivery, and ship solutions fast. This includes scoping, sequencing, and building full-stack integrations that create measurable mission impact while driving clarity across internal and external teams. Along the way, you'll identify reusable patterns, codify best practices, and share field signals that influence Deepgram's product roadmap.
As a member of the Applied Engineering team, you'll serve as the trusted technical thought partner for federal stakeholders, guiding adoption, maximizing operational value, and ensuring successful deployments at scale. While your engagements will primarily involve federal customers, you'll remain a core part of the broader Applied Engineering team and may contribute to commercial engagements where your expertise is valuable.
The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Sales Engineering, Solutions Architecture, Implementation, Forward-Deployed Engineering, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Relations (DevRel) teams to ensure a positive, growth-focused experience for our customers, as well as with Product and Engineering teams to deliver solutions that meet customer needs. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers.
As a Senior Applied Engineer operating in the FDE role for federal engagements, you'll work with a high degree of autonomy in customer environments that often have unique infrastructure constraints, compliance requirements, and security considerations. Your work will directly shape how federal agencies leverage Voice AI to achieve their missions.
Own technical delivery across federal deployments, from first prototype to stable production
Embed deeply with federal customers to design and build mission-critical applications powered by Deepgram's Voice AI models
Lead technical discovery and solution design for federal prospects and customers, partnering with Account Executives to navigate complex government sales and procurement cycles
Prototype and build full-stack integrations using Python, JavaScript, Rust, or comparable stacks that deliver real mission impact
Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications
Proactively guide federal stakeholders on maximizing operational value from Deepgram's platform, including performance optimization and deployment strategies
Scope work, sequence delivery, and remove blockers early, making deliberate trade-offs between scope, speed, and quality
Build and manage relationships with customer leadership and technical stakeholders to ensure successful deployment and scale
Contribute directly to code when clarity or momentum depends on it
Codify working patterns into tools, playbooks, reference architectures, and building blocks the broader team can use
Share field feedback with Product and Engineering to influence model and product development
Serve as an escalation point for complex technical issues in federal deployments
Analyze deployment patterns to identify product improvement opportunities and inform Deepgram's federal go-to-market strategy
40% — Embedded customer delivery: deployments, integrations, and technical problem-solving at federal customer sites and facilities
25% — Pre-sales technical engagement: discovery, demos, proof-of-concepts, and proposal support
20% — Building reusable solutions, automation, documentation, and reference architectures
15% — Internal collaboration: product feedback, knowledge sharing, and contributing to Applied Engineering strategy
First 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Gain proficiency with our core APIs and documentation. Shadow active customer engagements across both commercial and federal accounts to build familiarity with how the Applied Engineering team operates, the deployment patterns we use, and the specific requirements of government environments.
60 Days: Begin taking ownership of federal customer engagements, leading technical discovery and developing proof-of-concepts for government prospects. Start contributing to federal-specific technical content, reference architectures, and deployment guides. Participate in sales strategy sessions and provide technical insights on active federal deals.
90 Days: Own the full technical relationship with assigned federal accounts. Develop and deliver complex solutions addressing specific mission challenges. Establish patterns for repeatable federal deployments and begin contributing to the team's federal go-to-market methodology.
Thrive in high-ambiguity, mission-driven environments where you need to move fast and make sound decisions under pressure
Are passionate about translating complex technical capabilities into real operational value for government missions
Enjoy embedding deeply with customers, building trust, and becoming their go-to technical partner
Find satisfaction in shipping production systems that make a tangible difference
Are energized by the challenge of deploying cutting-edge Voice AI in complex, constrained environments
See yourself as an engineer first who happens to be great with customers, not the other way around
Can ruthlessly prioritize across multiple projects and operate with high autonomy
Active Top Secret clearance, or equivalent
5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments
Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript, or similar
Proven ability to scope and deliver complex systems in fast-moving or ambiguous contexts
Experience building and deploying production systems in government or similarly constrained environments
Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders, including senior government leadership
Track record of navigating complex sales or procurement cycles in the federal space
Willingness to travel up to 50%, including on-site work at government facilities
Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies
Familiarity with cloud deployment models (AWS GovCloud, Azure Government, etc.), Kubernetes, Terraform, and related infrastructure
Experience building or deploying systems powered by LLMs or generative models, with an understanding of how model behavior affects product experience
Knowledge of FedRAMP, FISMA, or other government compliance frameworks
Experience with API-first products and developer tools
Background in sales methodologies such as MEDDIC or Solution Selling, particularly in government contexts
Experience developing automation solutions, self-service tools, and technical documentation for customer enablement
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOPPORTUNITY\n\nDeepgram is seeking a Senior Applied Engineer to join our Applied Engineering team, operating in the Solutions Engineer role with a focus on federal customers. In this role, you will embed directly with our most strategic federal accounts to lead complex deployments of Deepgram's Voice AI platform in production environments where mission performance matters, delivery is urgent, and ambiguity is the default.\n\n\nYou will own the full technical lifecycle of federal engagements, from initial discovery and proof-of-concept through production deployment and ongoing optimization. You'll map customer problems, structure delivery, and ship solutions fast. This includes scoping, sequencing, and building full-stack integrations that create measurable mission impact while driving clarity across internal and external teams. Along the way, you'll identify reusable patterns, codify best practices, and share field signals that influence Deepgram's product roadmap.\n\n\nAs a member of the Applied Engineering team, you'll serve as the trusted technical thought partner for federal stakeholders, guiding adoption, maximizing operational value, and ensuring successful deployments at scale. While your engagements will primarily involve federal customers, you'll remain a core part of the broader Applied Engineering team and may contribute to commercial engagements where your expertise is valuable.\n\n\n\n\nNOTE: THIS ROLE IS BASED REMOTELY OUT OF THE WASHINGTON D.C. METROPOLITAN AREA.\n\n\n\n\nABOUT APPLIED ENGINEERING AT DEEPGRAM\n\nThe Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Sales Engineering, Solutions Architecture, Implementation, Forward-Deployed Engineering, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Relations (DevRel) teams to ensure a positive, growth-focused experience for our customers, as well as with Product and Engineering teams to deliver solutions that meet customer needs. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers.\n\nAs a Senior Applied Engineer operating in the FDE role for federal engagements, you'll work with a high degree of autonomy in customer environments that often have unique infrastructure constraints, compliance requirements, and security considerations. Your work will directly shape how federal agencies leverage Voice AI to achieve their missions.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own technical delivery across federal deployments, from first prototype to stable production\n\n - Embed deeply with federal customers to design and build mission-critical applications powered by Deepgram's Voice AI models\n\n - Lead technical discovery and solution design for federal prospects and customers, partnering with Account Executives to navigate complex government sales and procurement cycles\n\n - Prototype and build full-stack integrations using Python, JavaScript, Rust, or comparable stacks that deliver real mission impact\n\n - Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications\n\n - Proactively guide federal stakeholders on maximizing operational value from Deepgram's platform, including performance optimization and deployment strategies\n\n - Scope work, sequence delivery, and remove blockers early, making deliberate trade-offs between scope, speed, and quality\n\n - Build and manage relationships with customer leadership and technical stakeholders to ensure successful deployment and scale\n\n - Contribute directly to code when clarity or momentum depends on it\n\n - Codify working patterns into tools, playbooks, reference architectures, and building blocks the broader team can use\n\n - Share field feedback with Product and Engineering to influence model and product development\n\n - Serve as an escalation point for complex technical issues in federal deployments\n\n - Analyze deployment patterns to identify product improvement opportunities and inform Deepgram's federal go-to-market strategy\n\n\nTIME ALLOCATION\n\n - 40% — Embedded customer delivery: deployments, integrations, and technical problem-solving at federal customer sites and facilities\n\n - 25% — Pre-sales technical engagement: discovery, demos, proof-of-concepts, and proposal support\n\n - 20% — Building reusable solutions, automation, documentation, and reference architectures\n\n - 15% — Internal collaboration: product feedback, knowledge sharing, and contributing to Applied Engineering strategy\n \n \n\n\nYOUR FIRST 90 DAYS\n\nFirst 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Gain proficiency with our core APIs and documentation. Shadow active customer engagements across both commercial and federal accounts to build familiarity with how the Applied Engineering team operates, the deployment patterns we use, and the specific requirements of government environments.\n\n60 Days: Begin taking ownership of federal customer engagements, leading technical discovery and developing proof-of-concepts for government prospects. Start contributing to federal-specific technical content, reference architectures, and deployment guides. Participate in sales strategy sessions and provide technical insights on active federal deals.\n\n90 Days: Own the full technical relationship with assigned federal accounts. Develop and deliver complex solutions addressing specific mission challenges. Establish patterns for repeatable federal deployments and begin contributing to the team's federal go-to-market methodology.\n\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Thrive in high-ambiguity, mission-driven environments where you need to move fast and make sound decisions under pressure\n\n - Are passionate about translating complex technical capabilities into real operational value for government missions\n\n - Enjoy embedding deeply with customers, building trust, and becoming their go-to technical partner\n\n - Find satisfaction in shipping production systems that make a tangible difference\n\n - Are energized by the challenge of deploying cutting-edge Voice AI in complex, constrained environments\n\n - See yourself as an engineer first who happens to be great with customers, not the other way around\n\n - Can ruthlessly prioritize across multiple projects and operate with high autonomy\n\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Active Top Secret clearance, or equivalent\n\n - 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments\n\n - Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript, or similar\n\n - Proven ability to scope and deliver complex systems in fast-moving or ambiguous contexts\n\n - Experience building and deploying production systems in government or similarly constrained environments\n\n - Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders, including senior government leadership\n\n - Track record of navigating complex sales or procurement cycles in the federal space\n\n - Willingness to travel up to 50%, including on-site work at government facilities\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies\n\n - Familiarity with cloud deployment models (AWS GovCloud, Azure Government, etc.), Kubernetes, Terraform, and related infrastructure\n\n - Experience building or deploying systems powered by LLMs or generative models, with an understanding of how model behavior affects product experience\n\n - Knowledge of FedRAMP, FISMA, or other government compliance frameworks\n\n - Experience with API-first products and developer tools\n\n - Background in sales methodologies such as MEDDIC or Solution Selling, particularly in government contexts\n\n - Experience developing automation solutions, self-service tools, and technical documentation for customer enablement\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$180K – $245K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$180K - $245K","compensationTiers":[{"id":"6c160013-5a63-402b-8377-a233770ca7a4","tierSummary":"$180K – $245K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"53f72912-2eaa-4fc3-b6f3-f95a8c5c8109","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"e6dee85a-a192-4094-a21e-6083519898f3","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"eed28bbd-b360-4323-b767-fc9b22d840c7","summary":"$180K – $245K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":245000}]}],"summaryComponents":[{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":245000}]}},{"id":"7ced4c1f-4126-44fe-9cf1-da427a9e4e3e","title":"ML Ops Infrastructure Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-06T11:46:15.333+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/7ced4c1f-4126-44fe-9cf1-da427a9e4e3e","applyUrl":"https://jobs.ashbyhq.com/deepgram/7ced4c1f-4126-44fe-9cf1-da427a9e4e3e/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Getting a model from a research notebook to a production API serving millions of requests is one of the hardest problems in AI. As an ML Ops Infrastructure Engineer at Deepgram, you will own the critical bridge between research and production -- building the pipelines, deployment systems, and testing infrastructure that take models from experimental to battle-tested at scale. Your work ensures that every model improvement our research team makes can be safely, quickly, and reliably delivered to the customers who depend on Deepgram's APIs for real-time voice AI.
Design and build CI/CD pipelines specifically tailored for ML model development, validation, and deployment
Architect and maintain model deployment pipelines that move models from research environments through staging to production with confidence
Build A/B testing infrastructure that enables controlled rollouts of new models and measures real-world performance impact
Implement comprehensive monitoring for model performance in production -- accuracy metrics, latency, drift detection, and regression alerts
Develop automated retraining pipelines that trigger on data changes, performance degradation, or scheduled cadences
Create and maintain build and test environments that mirror production, giving researchers high-fidelity feedback before deployment
Establish model versioning, artifact management, and rollback capabilities to ensure safe and reproducible deployments
Collaborate with research engineers to define and enforce model quality gates before production promotion
Build observability dashboards that give the team real-time insight into model health across all environments
Optimize model serving infrastructure for latency, throughput, and cost efficiency
Are excited by the challenge of operationalizing cutting-edge AI models at production scale
Believe that great infrastructure is what turns research breakthroughs into customer value
Enjoy designing systems that are automated, reliable, and self-healing
Want to work on problems where minutes of latency reduction or percentage points of accuracy matter enormously
Like collaborating across research and engineering teams to make the whole organization faster
Are motivated by building the deployment and testing systems that back a platform serving over 200,000 developers
4+ years of experience in MLOps, DevOps, or infrastructure engineering with a focus on ML systems
Strong proficiency in Python and experience building automation and tooling for ML workflows
Deep experience with CI/CD systems and building pipelines for software and model delivery
Hands-on experience with Docker and Kubernetes for containerized workload management
Practical experience deploying and serving ML models in production environments
Familiarity with model evaluation, validation, and quality assurance processes
Understanding of monitoring and observability principles as applied to ML systems
Strong problem-solving skills and a bias toward automation over manual processes
Experience with model serving frameworks such as NVIDIA Triton Inference Server, TensorRT, or ONNX Runtime
Background in speech, audio, or real-time media ML systems
Experience with Infrastructure as Code tools such as Terraform or Pulumi
Hands-on experience with monitoring and observability stacks (Prometheus, Grafana, Datadog, or similar)
Familiarity with GPU-accelerated inference optimization and profiling
Experience with feature stores, data versioning, or ML metadata management
Knowledge of canary deployment strategies and progressive delivery for ML models
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nGetting a model from a research notebook to a production API serving millions of requests is one of the hardest problems in AI. As an ML Ops Infrastructure Engineer at Deepgram, you will own the critical bridge between research and production -- building the pipelines, deployment systems, and testing infrastructure that take models from experimental to battle-tested at scale. Your work ensures that every model improvement our research team makes can be safely, quickly, and reliably delivered to the customers who depend on Deepgram's APIs for real-time voice AI.\n\n\n\nWHAT YOU'LL DO\n\n - Design and build CI/CD pipelines specifically tailored for ML model development, validation, and deployment\n\n - Architect and maintain model deployment pipelines that move models from research environments through staging to production with confidence\n\n - Build A/B testing infrastructure that enables controlled rollouts of new models and measures real-world performance impact\n\n - Implement comprehensive monitoring for model performance in production -- accuracy metrics, latency, drift detection, and regression alerts\n\n - Develop automated retraining pipelines that trigger on data changes, performance degradation, or scheduled cadences\n\n - Create and maintain build and test environments that mirror production, giving researchers high-fidelity feedback before deployment\n\n - Establish model versioning, artifact management, and rollback capabilities to ensure safe and reproducible deployments\n\n - Collaborate with research engineers to define and enforce model quality gates before production promotion\n\n - Build observability dashboards that give the team real-time insight into model health across all environments\n\n - Optimize model serving infrastructure for latency, throughput, and cost efficiency\n \n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are excited by the challenge of operationalizing cutting-edge AI models at production scale\n\n - Believe that great infrastructure is what turns research breakthroughs into customer value\n\n - Enjoy designing systems that are automated, reliable, and self-healing\n\n - Want to work on problems where minutes of latency reduction or percentage points of accuracy matter enormously\n\n - Like collaborating across research and engineering teams to make the whole organization faster\n\n - Are motivated by building the deployment and testing systems that back a platform serving over 200,000 developers\n \n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 4+ years of experience in MLOps, DevOps, or infrastructure engineering with a focus on ML systems\n\n - Strong proficiency in Python and experience building automation and tooling for ML workflows\n\n - Deep experience with CI/CD systems and building pipelines for software and model delivery\n\n - Hands-on experience with Docker and Kubernetes for containerized workload management\n\n - Practical experience deploying and serving ML models in production environments\n\n - Familiarity with model evaluation, validation, and quality assurance processes\n\n - Understanding of monitoring and observability principles as applied to ML systems\n\n - Strong problem-solving skills and a bias toward automation over manual processes\n \n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with model serving frameworks such as NVIDIA Triton Inference Server, TensorRT, or ONNX Runtime\n\n - Background in speech, audio, or real-time media ML systems\n\n - Experience with Infrastructure as Code tools such as Terraform or Pulumi\n\n - Hands-on experience with monitoring and observability stacks (Prometheus, Grafana, Datadog, or similar)\n\n - Familiarity with GPU-accelerated inference optimization and profiling\n\n - Experience with feature stores, data versioning, or ML metadata management\n\n - Knowledge of canary deployment strategies and progressive delivery for ML models\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$160K – $220K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$160K - $220K","compensationTiers":[{"id":"09095c49-de63-4ce0-bd49-c78c9f21372a","tierSummary":"$160K – $220K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"cad2767f-7d3b-412b-85c8-3ffaa31a586b","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"59f9f41b-18d3-4d54-acf3-7f9054a75f10","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"d428beed-1922-4e52-b559-86f328a7d11a","summary":"$160K – $220K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":220000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":220000}]}},{"id":"ae992d89-1bb3-4bea-ae91-0a07043e9756","title":"Senior Data Intelligence Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-15T17:15:32.203+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/ae992d89-1bb3-4bea-ae91-0a07043e9756","applyUrl":"https://jobs.ashbyhq.com/deepgram/ae992d89-1bb3-4bea-ae91-0a07043e9756/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is the foundational AI company for voice. We build the models that allow machines to hear, understand, and speak to humans with zero latency. As we scale our usage-based economy, we are building the \"Intelligence Layer\"—a system of autonomous agents that monitor, reason, and act on our data to drive NRR and operational excellence.
Reporting to the Head of Decision Intelligence, you are the founding engineer of the Data Intelligence team. While the Head of Data sets the strategic \"Brain\" of the company, you build the nervous system. You are not building legacy dashboards; instead you are building the API-based tools, dbt models, and semantic layers that allow AI agents to navigate our data environment autonomously.
Semantic Layer Architecture: Build and maintain high-fidelity dbt and SQL models that serve as the \"ground truth\" for our complex, usage-based revenue models.
Agent Tooling & Integration: Develop the tools and permissions frameworks that allow \"Analyst Agents\" to query Athena, correlate Salesforce churn signals, and identify API latency issues.
Infrastructure Evolution: Serve as the technical bridge to the Engineering/Infra team to ensure our data contracts are \"agent-ready\" and highly reliable.
The \"Unlock Audio Intelligence\" Project: Partner with the Head of Data to ingest thousands of hours of internal calls using Deepgram’s own models, turning unstructured audio into queryable insights for GTM teams.
Automation Obsession: Maintain a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents.
Experience: 5+ years in high-growth Data or AI Engineering roles.
AI-Native Technical Skills: Mastery of SQL and Python (production-grade) with a proven track record of building RAG or Agentic systems on top of structured data.
Usage-Based SaaS Fluency: Familiarity with the metrics of an API-first business, such as consumption patterns, gross margins, and NRR.
Builder Mindset: Comfort with \"work-in-progress\" infrastructure and the ability to turn messy, siloed data into high-impact business logic.
Prior experience as a Software Engineer or Data Engineer.
Experience with real-time billing and consumption systems.
Contributions to open-source data or AI projects.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nABOUT DEEPGRAM\n\nDeepgram is the foundational AI company for voice. We build the models that allow machines to hear, understand, and speak to humans with zero latency. As we scale our usage-based economy, we are building the \"Intelligence Layer\"—a system of autonomous agents that monitor, reason, and act on our data to drive NRR and operational excellence.\n\n\n\n\nTHE ROLE\n\nReporting to the Head of Decision Intelligence, you are the founding engineer of the Data Intelligence team. While the Head of Data sets the strategic \"Brain\" of the company, you build the nervous system. You are not building legacy dashboards; instead you are building the API-based tools, dbt models, and semantic layers that allow AI agents to navigate our data environment autonomously.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Semantic Layer Architecture: Build and maintain high-fidelity dbt and SQL models that serve as the \"ground truth\" for our complex, usage-based revenue models.\n\n - Agent Tooling & Integration: Develop the tools and permissions frameworks that allow \"Analyst Agents\" to query Athena, correlate Salesforce churn signals, and identify API latency issues.\n\n - Infrastructure Evolution: Serve as the technical bridge to the Engineering/Infra team to ensure our data contracts are \"agent-ready\" and highly reliable.\n\n - The \"Unlock Audio Intelligence\" Project: Partner with the Head of Data to ingest thousands of hours of internal calls using Deepgram’s own models, turning unstructured audio into queryable insights for GTM teams.\n\n - Automation Obsession: Maintain a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents.\n \n \n\n\nREQUIREMENTS\n\n - Experience: 5+ years in high-growth Data or AI Engineering roles.\n\n - AI-Native Technical Skills: Mastery of SQL and Python (production-grade) with a proven track record of building RAG or Agentic systems on top of structured data.\n\n - Usage-Based SaaS Fluency: Familiarity with the metrics of an API-first business, such as consumption patterns, gross margins, and NRR.\n\n - Builder Mindset: Comfort with \"work-in-progress\" infrastructure and the ability to turn messy, siloed data into high-impact business logic.\n \n \n\n\nBONUS POINTS\n\n - Prior experience as a Software Engineer or Data Engineer.\n\n - Experience with real-time billing and consumption systems.\n\n - Contributions to open-source data or AI projects.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$165K – $220K • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$165K - $220K","compensationTiers":[{"id":"2a4586aa-b2aa-463a-b82b-f7e759266431","tierSummary":"$165K – $205K • Offers Bonus","title":"Tier 2","additionalInformation":null,"components":[{"id":"33426d47-6124-4864-b2f9-8447783138a8","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"01b0b720-b89d-4887-8d64-ee882a6f2bea","summary":"$165K – $205K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":165000,"maxValue":205000}]},{"id":"3ebad8d1-c205-4573-abe0-a55cdb847668","tierSummary":"$180K – $220K • Offers Bonus","title":"Tier 1","additionalInformation":null,"components":[{"id":"3deba4db-c4ca-43d5-b20e-da6719d0c69f","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"5dbbf45a-8c97-462b-9b9a-4802e73f919a","summary":"$180K – $220K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":220000}]}],"summaryComponents":[{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"minValue":165000,"maxValue":220000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"d98e6723-3485-4b58-9494-d6bf028fa905","title":"Sr. Backend Engineer - Engine Team: API","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-10T13:27:03.731+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/d98e6723-3485-4b58-9494-d6bf028fa905","applyUrl":"https://jobs.ashbyhq.com/deepgram/d98e6723-3485-4b58-9494-d6bf028fa905/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Opportunity
Deepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s products. You will design and implement secure, robust, and scalable services for speech processing; efficient, distributed compute orchestration; optimized scheduling, and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish.
What You’ll Do
Improve Deepgram’s core inference services including areas in networking, speech processing, audio transcoding, and latency and memory optimization
Develop processes for measuring, building, and optimizing services to maximize system performance
Debug complex system issues that include networking, scheduling, and high performance computing interactions
Rapidly customize backend services to support our customer needs
Partner with Product to design and implement new services, features, and/or products end to end
You’ll Love This Role If You
Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity
Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work
It’s Important To Us That You Have
3+ years of experience in an industry role
Programming experience in Rust (or C, C++), with competence in Python
Excellent communication and organizational skills, both written and verbal.
A high level of experience and understanding of version control; preferably git.
Comprehensive experience with UNIX-style systems.
It Would Be Great if You Had
Experience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformers
Experience with audio processing
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nOpportunity\n\nDeepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s products. You will design and implement secure, robust, and scalable services for speech processing; efficient, distributed compute orchestration; optimized scheduling, and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish.\n\n\n\nWhat You’ll Do\n\n - Improve Deepgram’s core inference services including areas in networking, speech processing, audio transcoding, and latency and memory optimization\n\n - Develop processes for measuring, building, and optimizing services to maximize system performance\n\n - Debug complex system issues that include networking, scheduling, and high performance computing interactions\n\n - Rapidly customize backend services to support our customer needs\n\n - Partner with Product to design and implement new services, features, and/or products end to end\n\n\n\nYou’ll Love This Role If You\n\n - Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity\n\n - Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work\n\n\n\nIt’s Important To Us That You Have\n\n - 3+ years of experience in an industry role\n\n - Programming experience in Rust (or C, C++), with competence in Python\n\n - Excellent communication and organizational skills, both written and verbal.\n\n - A high level of experience and understanding of version control; preferably git.\n\n - Comprehensive experience with UNIX-style systems.\n\n\n\nIt Would Be Great if You Had\n\n - Experience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformers\n\n - Experience with audio processing\n\n\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$150K – $220K • Offers Equity • Offers Bonus • 10% Annual Bonus","scrapeableCompensationSalarySummary":"$150K - $220K","compensationTiers":[{"id":"92d5ff8d-6d27-4fd7-905e-93a9853b9c3c","tierSummary":"Estimated Base Salary $150K – $220K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":null,"additionalInformation":"10% Annual Bonus","components":[{"id":"54bc2697-d7a7-4df3-b180-0ba3f8f60403","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"2bff2723-6671-4491-99d5-a5c7520ba78b","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"67565fba-2676-49c3-aabe-8e1a8d42d9e2","summary":"Estimated Base Salary $150K – $220K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":220000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":220000}]}},{"id":"94ae2781-a85f-493a-86c1-ff85a9289355","title":"Applied ML Engineer - Edge Devices","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-14T20:21:38.932+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/94ae2781-a85f-493a-86c1-ff85a9289355","applyUrl":"https://jobs.ashbyhq.com/deepgram/94ae2781-a85f-493a-86c1-ff85a9289355/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram's speech models are among the fastest and most accurate in the world, and today we run them at scale on NVIDIA GPUs. Our customers increasingly need those same models on hardware we don't control: non-NVIDIA accelerators, edge servers, and embedded platforms with their own inference runtimes, operator sets, and constraints. Getting Deepgram models onto those platforms, with as few changes to the model as possible and no changes to the hardware paradigm, is the job.
As an Applied ML Engineer on the Partner Platform Engineering team, you sit one layer above the metal. You take a Deepgram model as it exists today and adapt it to run correctly and efficiently within a target platform's existing kernel and runtime paradigm: swapping or reshaping operators, adjusting architecture parameters, choosing quantization and precision schemes, and validating accuracy and latency on the real device. Where a standard kernel isn't enough, you work with our Embedded AI Engineers, who write the custom kernels, and fit the model to what they build. You also own the deployment process that gets those adapted models onto edge targets repeatably.
This is not a research role and not a cloud-serving role. It is applied ML for edge deployment. It is a great fit for a senior engineer who has already shipped models to non-GPU or edge hardware and wants to do it across many platforms, or a staff-level engineer who wants to define how Deepgram ports speech models to new hardware. We'll set the level to your experience.
Port Deepgram speech models to non-NVIDIA and edge platforms, adapting model structure and parameters so they run within the target's existing operator set, runtime, and kernels with minimal modification.
Own serving-side model decisions for edge targets: quantization and precision choices, operator substitution, graph rewrites, and architecture tweaks that fit a model to a device's constraints while holding accuracy and latency.
Validate every port on real hardware: build accuracy, latency, throughput, and memory benchmarks per platform, and catch regressions before a customer does.
Build the deployment path for edge targets: model packaging, conversion pipelines, versioning, and automated delivery so shipping a model to a new device is repeatable rather than bespoke.
Work with Embedded AI Engineers when a standard kernel isn't enough: specify what the model needs, then adapt the model to use the custom kernel they deliver.
Partner with platform and silicon vendors on their runtimes and toolchains, and turn their expected model format and operator conventions into a working Deepgram deployment.
Feed edge constraints back to Research and Impeller so future models are easier to port, without taking on research or core productionization work yourself.
As the team grows, take on adjacent production concerns at the edge: automated deployment, model security and integrity on customer hardware, and fleet-level observability.
Have already fought to get a model running on hardware that wasn't built for it, and want to do that across many platforms.
Prefer changing the model to fit the hardware over changing the hardware to fit the model, and know when each is the right call.
Care about the numbers on the device, not the numbers in the notebook.
Like being the bridge between the team writing kernels and the team training models.
Want to ship to customers, not publish.
Hands-on experience deploying ML models to edge or non-NVIDIA hardware in production. This is required. Cloud-only or GPU-only serving experience does not qualify on its own.
Working knowledge of quantization and precision tradeoffs (INT8, FP16, mixed precision, calibration) and how they affect accuracy and latency on real targets.
Experience with at least one edge or vendor inference runtime and its conversion toolchain (for example ONNX Runtime, TFLite, ExecuTorch, OpenVINO, Qualcomm AI Engine, or a vendor NPU SDK).
Ability to modify a model to fit a platform: reading and rewriting model graphs, swapping unsupported operators, and adjusting architecture parameters without breaking accuracy.
Strong Python and PyTorch, and production-quality engineering habits: tests, reproducibility, and benchmarks that others can rerun.
Comfort building automation around model conversion and deployment.
A builder mindset and clear communication: you can scope a port on an unfamiliar platform and drive it to a measured result.
Experience with speech, audio, or streaming/real-time models specifically.
Exposure to writing or reading low-level kernels (CUDA, Metal, NEON, or vendor DSP code), enough to collaborate closely with embedded engineers.
Experience with model security or integrity on deployed devices: signing, encrypted model storage, safe updates.
Familiarity with several accelerator families (Qualcomm, Apple, ARM, Intel, AMD, or custom NPUs) and their quirks.
A track record of building internal tooling that made porting or deploying models measurably faster.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nABOUT THE ROLE\n\nDeepgram's speech models are among the fastest and most accurate in the world, and today we run them at scale on NVIDIA GPUs. Our customers increasingly need those same models on hardware we don't control: non-NVIDIA accelerators, edge servers, and embedded platforms with their own inference runtimes, operator sets, and constraints. Getting Deepgram models onto those platforms, with as few changes to the model as possible and no changes to the hardware paradigm, is the job.\n\nAs an Applied ML Engineer on the Partner Platform Engineering team, you sit one layer above the metal. You take a Deepgram model as it exists today and adapt it to run correctly and efficiently within a target platform's existing kernel and runtime paradigm: swapping or reshaping operators, adjusting architecture parameters, choosing quantization and precision schemes, and validating accuracy and latency on the real device. Where a standard kernel isn't enough, you work with our Embedded AI Engineers, who write the custom kernels, and fit the model to what they build. You also own the deployment process that gets those adapted models onto edge targets repeatably.\n\nThis is not a research role and not a cloud-serving role. It is applied ML for edge deployment. It is a great fit for a senior engineer who has already shipped models to non-GPU or edge hardware and wants to do it across many platforms, or a staff-level engineer who wants to define how Deepgram ports speech models to new hardware. We'll set the level to your experience.\n\n\n\n\nWHAT YOU'LL DO\n\n - Port Deepgram speech models to non-NVIDIA and edge platforms, adapting model structure and parameters so they run within the target's existing operator set, runtime, and kernels with minimal modification.\n\n - Own serving-side model decisions for edge targets: quantization and precision choices, operator substitution, graph rewrites, and architecture tweaks that fit a model to a device's constraints while holding accuracy and latency.\n\n - Validate every port on real hardware: build accuracy, latency, throughput, and memory benchmarks per platform, and catch regressions before a customer does.\n\n - Build the deployment path for edge targets: model packaging, conversion pipelines, versioning, and automated delivery so shipping a model to a new device is repeatable rather than bespoke.\n\n - Work with Embedded AI Engineers when a standard kernel isn't enough: specify what the model needs, then adapt the model to use the custom kernel they deliver.\n\n - Partner with platform and silicon vendors on their runtimes and toolchains, and turn their expected model format and operator conventions into a working Deepgram deployment.\n\n - Feed edge constraints back to Research and Impeller so future models are easier to port, without taking on research or core productionization work yourself.\n\n - As the team grows, take on adjacent production concerns at the edge: automated deployment, model security and integrity on customer hardware, and fleet-level observability.\n\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Have already fought to get a model running on hardware that wasn't built for it, and want to do that across many platforms.\n\n - Prefer changing the model to fit the hardware over changing the hardware to fit the model, and know when each is the right call.\n\n - Care about the numbers on the device, not the numbers in the notebook.\n\n - Like being the bridge between the team writing kernels and the team training models.\n\n - Want to ship to customers, not publish.\n\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Hands-on experience deploying ML models to edge or non-NVIDIA hardware in production. This is required. Cloud-only or GPU-only serving experience does not qualify on its own.\n\n - Working knowledge of quantization and precision tradeoffs (INT8, FP16, mixed precision, calibration) and how they affect accuracy and latency on real targets.\n\n - Experience with at least one edge or vendor inference runtime and its conversion toolchain (for example ONNX Runtime, TFLite, ExecuTorch, OpenVINO, Qualcomm AI Engine, or a vendor NPU SDK).\n\n - Ability to modify a model to fit a platform: reading and rewriting model graphs, swapping unsupported operators, and adjusting architecture parameters without breaking accuracy.\n\n - Strong Python and PyTorch, and production-quality engineering habits: tests, reproducibility, and benchmarks that others can rerun.\n\n - Comfort building automation around model conversion and deployment.\n\n - A builder mindset and clear communication: you can scope a port on an unfamiliar platform and drive it to a measured result.\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with speech, audio, or streaming/real-time models specifically.\n\n - Exposure to writing or reading low-level kernels (CUDA, Metal, NEON, or vendor DSP code), enough to collaborate closely with embedded engineers.\n\n - Experience with model security or integrity on deployed devices: signing, encrypted model storage, safe updates.\n\n - Familiarity with several accelerator families (Qualcomm, Apple, ARM, Intel, AMD, or custom NPUs) and their quirks.\n\n - A track record of building internal tooling that made porting or deploying models measurably faster.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$155K – $245K • Offers Equity • Offers Bonus • 10% Annual Bonus","scrapeableCompensationSalarySummary":"$155K - $245K","compensationTiers":[{"id":"42261ee2-8d1d-4908-a62e-3f908b5d92a7","tierSummary":"Estimated Base Salary $155K – $245K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":null,"additionalInformation":"10% Annual Bonus","components":[{"id":"b913b198-6a5a-439b-9844-b4965b055df4","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"c837b3d2-5a08-4b4c-a2c1-d25a4b8553e8","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"9185f4b6-1da0-4075-8302-b1a950fa787c","summary":"Estimated Base Salary $155K – $245K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":245000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":245000}]}},{"id":"0b7494b3-a91e-4540-9439-5b10a1e5b391","title":"Embedded AI Engineer, On-Device Models","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-07T17:44:07.351+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/0b7494b3-a91e-4540-9439-5b10a1e5b391","applyUrl":"https://jobs.ashbyhq.com/deepgram/0b7494b3-a91e-4540-9439-5b10a1e5b391/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram's speech models are among the fastest and most accurate in the world, and we have deep machinery for running them on NVIDIA GPUs. Our customers need them on everything else: non-NVIDIA accelerators, embedded SoCs, mobile application processors, DSPs and NPUs, and purpose-built devices with tight memory, compute, thermal, and power budgets. When a target platform's standard kernels and runtime can't run a Deepgram model well enough, someone has to go below them. That is this role.
As an Embedded AI Engineer on the Partner Platform Engineering team, you work at the lowest layer of our edge stack. You write and optimize custom kernels and operators for specific hardware, collapse models onto device-specific execution units, and do the target-side quantization and assembly-level tuning that standard toolchains can't. You hand what you build up to Applied ML Engineers, who fit Deepgram models to your kernels. Your work is what makes a new hardware platform viable for Deepgram at all.
This role is a great fit for a senior embedded engineer who has spent their career close to the metal and wants to point that at speech AI, or a staff-level engineer who wants to define how Deepgram's models get onto new silicon. We'll set the level to your experience.
Write and optimize custom kernels and operators (C, C++, Rust, and platform assembly or intrinsics) for non-NVIDIA accelerators, embedded SoCs, DSPs, and NPUs where the vendor's standard operator set is insufficient for Deepgram models.
Own target-side optimization: collapse models onto device execution units through quantization, operator fusion, memory layout, and architecture-specific compilation to meet latency, memory, power, and thermal budgets.
Integrate with vendor NPU/DSP toolchains and edge inference runtimes, and extend them with custom operators when the graph doesn't map cleanly.
Deliver kernels and runtime components as reusable building blocks that Applied ML Engineers can target when adapting models, with clear interfaces and documented constraints.
Build performance-critical runtime code for embedded environments, including embedded Linux, bare-metal, and RTOS targets.
Establish per-platform benchmarking and validation for latency, accuracy, power, memory footprint, and utilization, and catch regressions before they ship.
Partner with silicon and platform vendors on SDK integration and low-level performance tuning for new chipsets and reference platforms.
Feed hardware constraints back to Applied ML and Research so model designs are easier to land on constrained targets.
Find deep satisfaction in making a large model run on hardware that was never meant to run it, and still hitting accuracy and latency targets.
Reach for the profiler and the ISA manual before you reach for a bigger chip.
Would rather write the kernel than wait for the vendor to ship it.
Care about the details that don't show up in a cloud benchmark: cold start, power draw, thermals, memory fragmentation, cache behavior.
Prefer hard, constrained, ship-it problems over open-ended research.
Care about the details that don't show up in a cloud benchmark: cold-start time, power draw, thermals, and memory fragmentation.
Experience delivering production systems on resource-constrained hardware — embedded systems, mobile, edge AI, or small low-power devices.
Strong proficiency in C, C++, and/or Rust, with experience writing performance-critical code for constrained environments.
Hands-on experience with model optimization for on-device deployment, including quantization, pruning, knowledge distillation, or architecture-specific compilation.
Familiarity with edge inference runtimes (e.g., ONNX Runtime, TensorRT, TFLite, ExecuTorch) and/or vendor-specific NPU/DSP toolchains.
A strong understanding of hardware-software interaction — CPU/GPU/NPU/DSP architectures, memory hierarchies, fixed-point/integer arithmetic, and power management — and how they affect inference performance.
Experience working close to the metal: bare-metal or RTOS environments (e.g., FreeRTOS, Zephyr), embedded Linux, or microcontroller and edge SoC development.
Strong communication skills and a builder mindset — you can scope an ambiguous optimization problem, drive it to a measurable result, and explain the tradeoffs clearly.
Experience with real-time audio processing on embedded platforms — DSP pipelines, audio codec optimization, wake-word or always-on listening, or streaming inference on microcontrollers and edge SoCs.
Depth in ML optimization techniques — custom quantization schemes, mixed-precision inference, or neural architecture search for edge targets.
Background in hardware evaluation and benchmarking — systematically comparing accelerators, SoCs, or GPUs for specific workload profiles.
Experience shipping AI features in consumer products at scale, and the instinct for what \"production quality\" means on a battery-powered device.
Familiarity with model compilation and optimization toolchains and their tradeoffs across hardware targets.
Experience with secure, robust on-device deployment practices — code signing, encrypted model storage, and safe update mechanisms.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nABOUT THE ROLE\n\nDeepgram's speech models are among the fastest and most accurate in the world, and we have deep machinery for running them on NVIDIA GPUs. Our customers need them on everything else: non-NVIDIA accelerators, embedded SoCs, mobile application processors, DSPs and NPUs, and purpose-built devices with tight memory, compute, thermal, and power budgets. When a target platform's standard kernels and runtime can't run a Deepgram model well enough, someone has to go below them. That is this role.\n\nAs an Embedded AI Engineer on the Partner Platform Engineering team, you work at the lowest layer of our edge stack. You write and optimize custom kernels and operators for specific hardware, collapse models onto device-specific execution units, and do the target-side quantization and assembly-level tuning that standard toolchains can't. You hand what you build up to Applied ML Engineers, who fit Deepgram models to your kernels. Your work is what makes a new hardware platform viable for Deepgram at all.\n\nThis role is a great fit for a senior embedded engineer who has spent their career close to the metal and wants to point that at speech AI, or a staff-level engineer who wants to define how Deepgram's models get onto new silicon. We'll set the level to your experience.\n\n\n\n\nWHAT YOU'LL DO\n\n - Write and optimize custom kernels and operators (C, C++, Rust, and platform assembly or intrinsics) for non-NVIDIA accelerators, embedded SoCs, DSPs, and NPUs where the vendor's standard operator set is insufficient for Deepgram models.\n\n - Own target-side optimization: collapse models onto device execution units through quantization, operator fusion, memory layout, and architecture-specific compilation to meet latency, memory, power, and thermal budgets.\n\n - Integrate with vendor NPU/DSP toolchains and edge inference runtimes, and extend them with custom operators when the graph doesn't map cleanly.\n\n - Deliver kernels and runtime components as reusable building blocks that Applied ML Engineers can target when adapting models, with clear interfaces and documented constraints.\n\n - Build performance-critical runtime code for embedded environments, including embedded Linux, bare-metal, and RTOS targets.\n\n - Establish per-platform benchmarking and validation for latency, accuracy, power, memory footprint, and utilization, and catch regressions before they ship.\n\n - Partner with silicon and platform vendors on SDK integration and low-level performance tuning for new chipsets and reference platforms.\n\n - Feed hardware constraints back to Applied ML and Research so model designs are easier to land on constrained targets.\n\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Find deep satisfaction in making a large model run on hardware that was never meant to run it, and still hitting accuracy and latency targets.\n\n - Reach for the profiler and the ISA manual before you reach for a bigger chip.\n\n - Would rather write the kernel than wait for the vendor to ship it.\n\n - Care about the details that don't show up in a cloud benchmark: cold start, power draw, thermals, memory fragmentation, cache behavior.\n\n - Prefer hard, constrained, ship-it problems over open-ended research.\n\n - Care about the details that don't show up in a cloud benchmark: cold-start time, power draw, thermals, and memory fragmentation.\n\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Experience delivering production systems on resource-constrained hardware — embedded systems, mobile, edge AI, or small low-power devices.\n\n - Strong proficiency in C, C++, and/or Rust, with experience writing performance-critical code for constrained environments.\n\n - Hands-on experience with model optimization for on-device deployment, including quantization, pruning, knowledge distillation, or architecture-specific compilation.\n\n - Familiarity with edge inference runtimes (e.g., ONNX Runtime, TensorRT, TFLite, ExecuTorch) and/or vendor-specific NPU/DSP toolchains.\n\n - A strong understanding of hardware-software interaction — CPU/GPU/NPU/DSP architectures, memory hierarchies, fixed-point/integer arithmetic, and power management — and how they affect inference performance.\n\n - Experience working close to the metal: bare-metal or RTOS environments (e.g., FreeRTOS, Zephyr), embedded Linux, or microcontroller and edge SoC development.\n\n - Strong communication skills and a builder mindset — you can scope an ambiguous optimization problem, drive it to a measurable result, and explain the tradeoffs clearly.\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with real-time audio processing on embedded platforms — DSP pipelines, audio codec optimization, wake-word or always-on listening, or streaming inference on microcontrollers and edge SoCs.\n\n - Depth in ML optimization techniques — custom quantization schemes, mixed-precision inference, or neural architecture search for edge targets.\n\n - Background in hardware evaluation and benchmarking — systematically comparing accelerators, SoCs, or GPUs for specific workload profiles.\n\n - Experience shipping AI features in consumer products at scale, and the instinct for what \"production quality\" means on a battery-powered device.\n\n - Familiarity with model compilation and optimization toolchains and their tradeoffs across hardware targets.\n\n - Experience with secure, robust on-device deployment practices — code signing, encrypted model storage, and safe update mechanisms.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$219.3K – $274.1K • Offers Equity • Offers Bonus • 10% Annual Bonus","scrapeableCompensationSalarySummary":"$219.3K - $274.1K","compensationTiers":[{"id":"2dbb5bde-033b-4257-9f20-e6df209dd80a","tierSummary":"Estimated Base Salary $219.3K – $274.1K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":null,"additionalInformation":"10% Annual Bonus","components":[{"id":"e940ab0d-f53d-490f-a23a-6adae11cb0c9","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"3b070ec8-104b-4786-b11a-fdf79458a230","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"f33ee690-fa60-4cdc-a044-02cd4875ef25","summary":"Estimated Base Salary $219.3K – $274.1K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":219300,"maxValue":274100}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":219300,"maxValue":274100}]}},{"id":"02b34c52-9d44-415d-affe-80f4bb016f90","title":"Account Executive (Singapore)","department":"Sales - AE","team":"Sales - AE","employmentType":"FullTime","location":"Singapore","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-07-16T10:26:23.902+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"Singapore"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/02b34c52-9d44-415d-affe-80f4bb016f90","applyUrl":"https://jobs.ashbyhq.com/deepgram/02b34c52-9d44-415d-affe-80f4bb016f90/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
NOTE: THIS ROLE IS BASED IN SINGAPORE, COVERING SOUTH EAST ASIA.
THE OPPORTUNITY
South East Asia is one of the world's most dynamic technology regions, and Singapore sits at the center of it: a hub where many of the world's leading technology companies base their regional teams, and where Deepgram is already seeing strong demand. Joining at the earliest stage of Deepgram's presence in the region, you will turn that demand into revenue: owning a territory end to end, winning new logos, and growing them over time. You will help shape how Deepgram sells across South East Asia rather than inheriting a finished playbook.
Your focus will be Singapore and the broader South East Asia region, selling across the full spectrum of the market, from fast-moving tech companies to large enterprises, as well as the major technology partners headquartered in Singapore. You will run both a direct motion and a co-sell motion, and the strength of the partner ecosystem here makes co-sell central to how you will win. This is a role for a full-cycle seller who is at home with technical buyers and energized by building something early.
WHO YOU ARE
You are a full-cycle Account Executive who builds your own pipeline and closes it. You are comfortable selling a product with real technical depth, holding your own with engineers, architects, and technical decision-makers, and translating what the product does into clear business value. You know how to land a new logo and grow it, and you are as comfortable working a partner co-sell as you are running a direct deal.
You are at ease operating across the varied markets and cultures of South East Asia, and you do your best work in a build environment where the playbook is still forming, priorities move quickly, and your input shapes how the team sells. You are organized, self-directed, and relentless about following up.
WHAT YOU'LL DO
Own a territory end to end: generate pipeline, run full-cycle deals, and carry a new-business and expansion number.
Build your own pipeline through self-prospecting, and work with SDRs and Marketing to grow pipeline and build Deepgram's presence in the market, including representing Deepgram at key developer and industry events.
Run both motions, with an emphasis on co-sell: work closely with the technology partners headquartered in Singapore, and sell directly into accounts across the region.
Sell across the full spectrum of the market, from fast-moving tech companies to large enterprises, focused on Singapore and the broader South East Asia region.
Land new logos and expand them over time, growing accounts through adoption and new use cases.
Work closely with Field Engineers to guide technical evaluations and move customers from evaluation into production.
Develop a strong command of customer needs, the competitive landscape, and Deepgram's products, and articulate the value clearly to technical audiences.
Maintain accurate pipeline hygiene and forecasting.
Bring the voice of the customer back to Deepgram, feeding product feedback and market insight to the team.
YOU'LL LOVE THIS ROLE IF YOU
Are energized by building early and want to help shape how Deepgram sells across South East Asia.
Take pride in building your own pipeline and owning a deal from first touch to close.
Are at home selling to technical buyers and can hold your own on the substance of the product.
Enjoy running a partner co-sell motion alongside direct selling.
Think in terms of landing a logo and growing it, not just closing once.
Are passionate about Deepgram's mission and what voice AI makes possible.
IT'S IMPORTANT TO US THAT YOU HAVE
A track record as a full-cycle Account Executive: building pipeline from scratch, running technical deals, and consistently overachieving against target. We expect this typically means 5 or more years of quota-carrying experience, but we hire at varying levels of seniority and encourage strong candidates to apply.
Experience selling products with real technical depth, such as APIs, developer tools, or platforms evaluated on their merits by engineering buyers.
Experience selling across South East Asian markets, to both technical and business buyers.
Comfort running both a direct motion and a partner or co-sell motion, and strong instincts for working through partners.
A land-and-expand mindset, with a history of growing accounts after the initial win.
Strong communication and follow-up, and the discipline to run a consistent, repeatable sales process.
A history of stable tenure and clear progression across your roles.
IT WOULD BE GREAT IF YOU HAD
Experience selling voice AI, speech, AI/ML, developer tools, or infrastructure.
Experience co-selling through systems integrators or hyperscaler partners.
Familiarity with a modern sales methodology such as Challenger.
Experience in a high-growth or early-stage environment.
If the idea of building Deepgram's business in South East Asia excites you, we'd like to hear from you.
BENEFITS & PERKS
We offer best-in-class benefits, localized to your market. This includes comprehensive health coverage, generous paid time off, paid parental leave, meaningful learning and development support, and stipends to help you do your best work. Specific benefits are administered locally and governed by country-specific regulations.
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!
Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nNOTE: THIS ROLE IS BASED IN SINGAPORE, COVERING SOUTH EAST ASIA.\n\n\n\nTHE OPPORTUNITY\n\nSouth East Asia is one of the world's most dynamic technology regions, and Singapore sits at the center of it: a hub where many of the world's leading technology companies base their regional teams, and where Deepgram is already seeing strong demand. Joining at the earliest stage of Deepgram's presence in the region, you will turn that demand into revenue: owning a territory end to end, winning new logos, and growing them over time. You will help shape how Deepgram sells across South East Asia rather than inheriting a finished playbook.\n\nYour focus will be Singapore and the broader South East Asia region, selling across the full spectrum of the market, from fast-moving tech companies to large enterprises, as well as the major technology partners headquartered in Singapore. You will run both a direct motion and a co-sell motion, and the strength of the partner ecosystem here makes co-sell central to how you will win. This is a role for a full-cycle seller who is at home with technical buyers and energized by building something early.\n\n\n\nWHO YOU ARE\n\nYou are a full-cycle Account Executive who builds your own pipeline and closes it. You are comfortable selling a product with real technical depth, holding your own with engineers, architects, and technical decision-makers, and translating what the product does into clear business value. You know how to land a new logo and grow it, and you are as comfortable working a partner co-sell as you are running a direct deal.\n\nYou are at ease operating across the varied markets and cultures of South East Asia, and you do your best work in a build environment where the playbook is still forming, priorities move quickly, and your input shapes how the team sells. You are organized, self-directed, and relentless about following up.\n\n\n\nWHAT YOU'LL DO\n\n - Own a territory end to end: generate pipeline, run full-cycle deals, and carry a new-business and expansion number.\n\n - Build your own pipeline through self-prospecting, and work with SDRs and Marketing to grow pipeline and build Deepgram's presence in the market, including representing Deepgram at key developer and industry events.\n\n - Run both motions, with an emphasis on co-sell: work closely with the technology partners headquartered in Singapore, and sell directly into accounts across the region.\n\n - Sell across the full spectrum of the market, from fast-moving tech companies to large enterprises, focused on Singapore and the broader South East Asia region.\n\n - Land new logos and expand them over time, growing accounts through adoption and new use cases.\n\n - Work closely with Field Engineers to guide technical evaluations and move customers from evaluation into production.\n\n - Develop a strong command of customer needs, the competitive landscape, and Deepgram's products, and articulate the value clearly to technical audiences.\n\n - Maintain accurate pipeline hygiene and forecasting.\n\n - Bring the voice of the customer back to Deepgram, feeding product feedback and market insight to the team.\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are energized by building early and want to help shape how Deepgram sells across South East Asia.\n\n - Take pride in building your own pipeline and owning a deal from first touch to close.\n\n - Are at home selling to technical buyers and can hold your own on the substance of the product.\n\n - Enjoy running a partner co-sell motion alongside direct selling.\n\n - Think in terms of landing a logo and growing it, not just closing once.\n\n - Are passionate about Deepgram's mission and what voice AI makes possible.\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - A track record as a full-cycle Account Executive: building pipeline from scratch, running technical deals, and consistently overachieving against target. We expect this typically means 5 or more years of quota-carrying experience, but we hire at varying levels of seniority and encourage strong candidates to apply.\n\n - Experience selling products with real technical depth, such as APIs, developer tools, or platforms evaluated on their merits by engineering buyers.\n\n - Experience selling across South East Asian markets, to both technical and business buyers.\n\n - Comfort running both a direct motion and a partner or co-sell motion, and strong instincts for working through partners.\n\n - A land-and-expand mindset, with a history of growing accounts after the initial win.\n\n - Strong communication and follow-up, and the discipline to run a consistent, repeatable sales process.\n\n - A history of stable tenure and clear progression across your roles.\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience selling voice AI, speech, AI/ML, developer tools, or infrastructure.\n\n - Experience co-selling through systems integrators or hyperscaler partners.\n\n - Familiarity with a modern sales methodology such as Challenger.\n\n - Experience in a high-growth or early-stage environment.\n\nIf the idea of building Deepgram's business in South East Asia excites you, we'd like to hear from you.\n\n\n\nBENEFITS & PERKS\n\nWe offer best-in-class benefits, localized to your market. This includes comprehensive health coverage, generous paid time off, paid parental leave, meaningful learning and development support, and stipends to help you do your best work. Specific benefits are administered locally and governed by country-specific regulations.\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"82aee0a3-055d-481f-b081-b1691febc209","title":"Senior People Partner ","department":"People","team":"People","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-16T17:16:46.797+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/82aee0a3-055d-481f-b081-b1691febc209","applyUrl":"https://jobs.ashbyhq.com/deepgram/82aee0a3-055d-481f-b081-b1691febc209/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is seeking a Senior Human Resources Business Partner to support our growing, remote-first organization. This inaugural HRBP role will partner closely with leaders of all levels and employees across the company to support employee relations, performance management, manager effectiveness, and scalable people practices.
Reporting to the Head of People, the HRBP works cross-functionally with leaders, People Ops, Legal, Finance, and Recruiting to ensure people programs, policies, and processes are effective, compliant, and aligned with business needs. This is a highly collaborative role for someone who brings strong judgment, navigates complexity with confidence, and helps teams perform at a high level in a fast-moving environment.
Occasional travel is expected to attend company offsites and team meetings at Deepgram offices as needed throughout the year.
Serve as a primary point of contact for employee relations matters, including performance concerns, interpersonal issues, investigations, and complex workplace scenarios
Coach managers through difficult conversations, feedback delivery, performance management, and documentation
Provide consistent, fair, and legally sound guidance across key employee lifecycle moments
Act as a trusted advisor to leaders on people-related risks, decisions, and trade-offs
Partner with the Head of People to translate company strategy into people practices that are right-sized for scale
Identify patterns and systemic issues early and recommend practical, upstream interventions
Serve as a change partner to leaders, helping design, position, and operationalize organizational changes to drive understanding, adoption, and trust.
Support performance management processes, goal-setting, feedback cycles, and manager capability building
Partner with leaders on team structure, talent and succession planning, and ways of working that enable strong performance and sustainable growth
Help managers navigate underperformance, role clarity challenges, and organizational change
Reinforce a culture of high performance without unnecessary bureaucracy
Lead the offboarding and separation experience with employees and managers, including exit interviews, separation agreements, and coordination with Finance
Partner on compensation cycles end to end, including merit and promotion rounds, off-cycle adjustments, and preparing change-of-salary and promotion letters
Serve as a trusted point of contact for manager and employee compensation questions, using judgment on what to resolve directly and what to escalate
Help build and refine People processes, templates, documentation, and manager resources
Partner on tools and workflows that improve consistency, efficiency, and employee experience
Balance compliance, speed, and sound judgment as the company grows
Partner with the Head of People to support change initiatives (e.g., policy updates, process shifts), including re-education, leader enablement, and reinforcement
Partner with People Ops, Legal, and Finance to ensure compliance with federal, state, local, and our local partners with regard to international employment laws
Support leave administration, policy application, and complex employee situations
Help ensure People practices are defensible, consistent, and aligned with company values
Act as the point of contact for work authorization needs, including H-1B, STEM OPT and Form I-983, and TN visa reviews
Partner with immigration counsel on case strategy and coordinate with candidates, employees, and hiring teams through each step
Enjoy partnering closely with managers and leaders to build a healthy and high performing culture
Are energized by navigating ambiguity and making sound decisions while building the HRBP playbook
Care about building and scaling fair, consistent, and human people practices in a fast-growing company
Thrive in environments where trust, judgment, and accountability matter
7–10+ years of HR experience, including at least 5 years in an HR Business Partner role within high-growth or complex environments
Strong business judgment and the ability to understand context quickly, challenge assumptions when needed, and guide leaders through tough trade-offs
Deep experience in employee relations, performance management, and manager coaching
Comfort operating synchronously and asynchronously in a fast-paced, remote-first, evolving environment with shifting priorities
Strong written and verbal communication skills and a high degree of discretion
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nDeepgram is seeking a Senior Human Resources Business Partner to support our growing, remote-first organization. This inaugural HRBP role will partner closely with leaders of all levels and employees across the company to support employee relations, performance management, manager effectiveness, and scalable people practices.\n\nReporting to the Head of People, the HRBP works cross-functionally with leaders, People Ops, Legal, Finance, and Recruiting to ensure people programs, policies, and processes are effective, compliant, and aligned with business needs. This is a highly collaborative role for someone who brings strong judgment, navigates complexity with confidence, and helps teams perform at a high level in a fast-moving environment.\n\nOccasional travel is expected to attend company offsites and team meetings at Deepgram offices as needed throughout the year.\n\n \n \n\n\nWHAT YOU’LL DO\n\n\nEMPLOYEE RELATIONS & MANAGER SUPPORT\n\n - Serve as a primary point of contact for employee relations matters, including performance concerns, interpersonal issues, investigations, and complex workplace scenarios\n\n - Coach managers through difficult conversations, feedback delivery, performance management, and documentation\n\n - Provide consistent, fair, and legally sound guidance across key employee lifecycle moments\n \n\n\nBUSINESS & LEADERSHIP PARTNERSHIP\n\n - Act as a trusted advisor to leaders on people-related risks, decisions, and trade-offs\n\n - Partner with the Head of People to translate company strategy into people practices that are right-sized for scale\n\n - Identify patterns and systemic issues early and recommend practical, upstream interventions\n\n - Serve as a change partner to leaders, helping design, position, and operationalize organizational changes to drive understanding, adoption, and trust.\n \n\n\nPERFORMANCE & MANAGER EFFECTIVENESS\n\n - Support performance management processes, goal-setting, feedback cycles, and manager capability building\n\n - Partner with leaders on team structure, talent and succession planning, and ways of working that enable strong performance and sustainable growth\n\n - Help managers navigate underperformance, role clarity challenges, and organizational change\n\n - Reinforce a culture of high performance without unnecessary bureaucracy\n\n - Lead the offboarding and separation experience with employees and managers, including exit interviews, separation agreements, and coordination with Finance\n\n - Partner on compensation cycles end to end, including merit and promotion rounds, off-cycle adjustments, and preparing change-of-salary and promotion letters\n\n - Serve as a trusted point of contact for manager and employee compensation questions, using judgment on what to resolve directly and what to escalate\n \n\n\nPROCESS, SYSTEMS & SCALE\n\n - Help build and refine People processes, templates, documentation, and manager resources\n\n - Partner on tools and workflows that improve consistency, efficiency, and employee experience\n\n - Balance compliance, speed, and sound judgment as the company grows\n\n - Partner with the Head of People to support change initiatives (e.g., policy updates, process shifts), including re-education, leader enablement, and reinforcement\n \n\n\nCOMPLIANCE & ADMINISTRATION\n\n - Partner with People Ops, Legal, and Finance to ensure compliance with federal, state, local, and our local partners with regard to international employment laws\n\n - Support leave administration, policy application, and complex employee situations\n\n - Help ensure People practices are defensible, consistent, and aligned with company values\n\n\nIMMIGRATION\n\n - Act as the point of contact for work authorization needs, including H-1B, STEM OPT and Form I-983, and TN visa reviews\n\n - Partner with immigration counsel on case strategy and coordinate with candidates, employees, and hiring teams through each step\n \n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Enjoy partnering closely with managers and leaders to build a healthy and high performing culture\n\n - Are energized by navigating ambiguity and making sound decisions while building the HRBP playbook\n\n - Care about building and scaling fair, consistent, and human people practices in a fast-growing company\n\n - Thrive in environments where trust, judgment, and accountability matter\n \n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - 7–10+ years of HR experience, including at least 5 years in an HR Business Partner role within high-growth or complex environments\n\n - Strong business judgment and the ability to understand context quickly, challenge assumptions when needed, and guide leaders through tough trade-offs\n\n - Deep experience in employee relations, performance management, and manager coaching\n\n - Comfort operating synchronously and asynchronously in a fast-paced, remote-first, evolving environment with shifting priorities\n Strong written and verbal communication skills and a high degree of discretion\n\n\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$130K – $185K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$130K - $185K","compensationTiers":[{"id":"10fc5b04-6ad8-4867-af69-1646c2fb9082","tierSummary":"$150K – $185K • Offers Equity • Offers Bonus","title":"San Francisco, New York, Seattle","additionalInformation":null,"components":[{"id":"8c6f2a8d-f503-47b8-8b59-ea4193b841ba","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"27a476ea-d926-4641-9b18-90c2c60d1b1f","summary":"$150K – $185K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":185000},{"id":"80a8fb12-9ca1-4e78-984d-91b7cf70521e","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]},{"id":"ac64d29d-decc-4de9-a13f-9536506d5b44","tierSummary":"Base $130K – $160K • Offers Equity • Offers Bonus","title":"United States","additionalInformation":null,"components":[{"id":"a63ec93f-01da-43f9-9829-829722ed6524","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"2ea5bee7-8a49-4048-b698-dc15b4e58ad4","summary":"Base $130K – $160K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":130000,"maxValue":160000},{"id":"e6e11424-3cfc-40d5-8e5e-33dcb056104b","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"minValue":130000,"maxValue":185000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"},{"compensationType":"EquityCashValue","minValue":null,"maxValue":null,"interval":"1 YEAR"}]}},{"id":"94443791-d22f-4f63-a4dd-fd3efb3fc82e","title":"Account Executive (Korean Speaking)","department":"Sales - AE","team":"Sales - AE","employmentType":"FullTime","location":"Singapore","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-07-22T10:57:49.354+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"Singapore"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/94443791-d22f-4f63-a4dd-fd3efb3fc82e","applyUrl":"https://jobs.ashbyhq.com/deepgram/94443791-d22f-4f63-a4dd-fd3efb3fc82e/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Please note: This role does not sponsor Employment Pass
THE OPPORTUNITY
South East Asia is one of the world's most dynamic technology regions, and Singapore sits at the center of it: a hub where many of the world's leading technology companies base their regional teams, and where Deepgram is already seeing strong demand. Joining at the earliest stage of Deepgram's presence in the region, you will turn that demand into revenue: owning a territory end to end, winning new logos, and growing them over time. You will help shape how Deepgram sells across South East Asia rather than inheriting a finished playbook.
Your focus will be Singapore and the broader South East Asia region, selling across the full spectrum of the market, from fast-moving tech companies to large enterprises, as well as the major technology partners headquartered in Singapore. You will run both a direct motion and a co-sell motion, and the strength of the partner ecosystem here makes co-sell central to how you will win. This is a role for a full-cycle seller who is at home with technical buyers and energized by building something early.
WHO YOU ARE
You are a full-cycle Account Executive who builds your own pipeline and closes it. You are comfortable selling a product with real technical depth, holding your own with engineers, architects, and technical decision-makers, and translating what the product does into clear business value. You know how to land a new logo and grow it, and you are as comfortable working a partner co-sell as you are running a direct deal.
You are at ease operating across the varied markets and cultures of South East Asia, and you do your best work in a build environment where the playbook is still forming, priorities move quickly, and your input shapes how the team sells. You are organized, self-directed, and relentless about following up.
WHAT YOU'LL DO
Own a territory end to end: generate pipeline, run full-cycle deals, and carry a new-business and expansion number.
Build your own pipeline through self-prospecting, and work with SDRs and Marketing to grow pipeline and build Deepgram's presence in the market, including representing Deepgram at key developer and industry events.
Run both motions, with an emphasis on co-sell: work closely with the technology partners headquartered in Singapore, and sell directly into accounts across the region.
Sell across the full spectrum of the market, from fast-moving tech companies to large enterprises, focused on Singapore and the broader South East Asia region.
Land new logos and expand them over time, growing accounts through adoption and new use cases.
Work closely with Field Engineers to guide technical evaluations and move customers from evaluation into production.
Develop a strong command of customer needs, the competitive landscape, and Deepgram's products, and articulate the value clearly to technical audiences.
Maintain accurate pipeline hygiene and forecasting.
Bring the voice of the customer back to Deepgram, feeding product feedback and market insight to the team.
YOU'LL LOVE THIS ROLE IF YOU
Are energized by building early and want to help shape how Deepgram sells across South East Asia.
Take pride in building your own pipeline and owning a deal from first touch to close.
Are at home selling to technical buyers and can hold your own on the substance of the product.
Enjoy running a partner co-sell motion alongside direct selling.
Think in terms of landing a logo and growing it, not just closing once.
Are passionate about Deepgram's mission and what voice AI makes possible.
IT'S IMPORTANT TO US THAT YOU HAVE
A track record as a full-cycle Account Executive: building pipeline from scratch, running technical deals, and consistently overachieving against target. We expect this typically means 5 or more years of quota-carrying experience, but we hire at varying levels of seniority and encourage strong candidates to apply.
Experience selling products with real technical depth, such as APIs, developer tools, or platforms evaluated on their merits by engineering buyers.
Experience selling across South East Asian markets, to both technical and business buyers.
Comfort running both a direct motion and a partner or co-sell motion, and strong instincts for working through partners.
A land-and-expand mindset, with a history of growing accounts after the initial win.
Strong communication and follow-up, and the discipline to run a consistent, repeatable sales process.
A history of stable tenure and clear progression across your roles.
IT WOULD BE GREAT IF YOU HAD
Experience selling voice AI, speech, AI/ML, developer tools, or infrastructure.
Experience co-selling through systems integrators or hyperscaler partners.
Familiarity with a modern sales methodology such as Challenger.
Experience in a high-growth or early-stage environment.
If the idea of building Deepgram's business in South East Asia excites you, we'd like to hear from you.
BENEFITS & PERKS
We offer best-in-class benefits, localized to your market. This includes comprehensive health coverage, generous paid time off, paid parental leave, meaningful learning and development support, and stipends to help you do your best work. Specific benefits are administered locally and governed by country-specific regulations.
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!
Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nPlease note: This role does not sponsor Employment Pass\n\n\n\nTHE OPPORTUNITY\n\nSouth East Asia is one of the world's most dynamic technology regions, and Singapore sits at the center of it: a hub where many of the world's leading technology companies base their regional teams, and where Deepgram is already seeing strong demand. Joining at the earliest stage of Deepgram's presence in the region, you will turn that demand into revenue: owning a territory end to end, winning new logos, and growing them over time. You will help shape how Deepgram sells across South East Asia rather than inheriting a finished playbook.\n\nYour focus will be Singapore and the broader South East Asia region, selling across the full spectrum of the market, from fast-moving tech companies to large enterprises, as well as the major technology partners headquartered in Singapore. You will run both a direct motion and a co-sell motion, and the strength of the partner ecosystem here makes co-sell central to how you will win. This is a role for a full-cycle seller who is at home with technical buyers and energized by building something early.\n\nWHO YOU ARE\n\nYou are a full-cycle Account Executive who builds your own pipeline and closes it. You are comfortable selling a product with real technical depth, holding your own with engineers, architects, and technical decision-makers, and translating what the product does into clear business value. You know how to land a new logo and grow it, and you are as comfortable working a partner co-sell as you are running a direct deal.\n\nYou are at ease operating across the varied markets and cultures of South East Asia, and you do your best work in a build environment where the playbook is still forming, priorities move quickly, and your input shapes how the team sells. You are organized, self-directed, and relentless about following up.\n\nWHAT YOU'LL DO\n\n - Own a territory end to end: generate pipeline, run full-cycle deals, and carry a new-business and expansion number.\n\n - Build your own pipeline through self-prospecting, and work with SDRs and Marketing to grow pipeline and build Deepgram's presence in the market, including representing Deepgram at key developer and industry events.\n\n - Run both motions, with an emphasis on co-sell: work closely with the technology partners headquartered in Singapore, and sell directly into accounts across the region.\n\n - Sell across the full spectrum of the market, from fast-moving tech companies to large enterprises, focused on Singapore and the broader South East Asia region.\n\n - Land new logos and expand them over time, growing accounts through adoption and new use cases.\n\n - Work closely with Field Engineers to guide technical evaluations and move customers from evaluation into production.\n\n - Develop a strong command of customer needs, the competitive landscape, and Deepgram's products, and articulate the value clearly to technical audiences.\n\n - Maintain accurate pipeline hygiene and forecasting.\n\n - Bring the voice of the customer back to Deepgram, feeding product feedback and market insight to the team.\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are energized by building early and want to help shape how Deepgram sells across South East Asia.\n\n - Take pride in building your own pipeline and owning a deal from first touch to close.\n\n - Are at home selling to technical buyers and can hold your own on the substance of the product.\n\n - Enjoy running a partner co-sell motion alongside direct selling.\n\n - Think in terms of landing a logo and growing it, not just closing once.\n\n - Are passionate about Deepgram's mission and what voice AI makes possible.\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - A track record as a full-cycle Account Executive: building pipeline from scratch, running technical deals, and consistently overachieving against target. We expect this typically means 5 or more years of quota-carrying experience, but we hire at varying levels of seniority and encourage strong candidates to apply.\n\n - Experience selling products with real technical depth, such as APIs, developer tools, or platforms evaluated on their merits by engineering buyers.\n\n - Experience selling across South East Asian markets, to both technical and business buyers.\n\n - Comfort running both a direct motion and a partner or co-sell motion, and strong instincts for working through partners.\n\n - A land-and-expand mindset, with a history of growing accounts after the initial win.\n\n - Strong communication and follow-up, and the discipline to run a consistent, repeatable sales process.\n\n - A history of stable tenure and clear progression across your roles.\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience selling voice AI, speech, AI/ML, developer tools, or infrastructure.\n\n - Experience co-selling through systems integrators or hyperscaler partners.\n\n - Familiarity with a modern sales methodology such as Challenger.\n\n - Experience in a high-growth or early-stage environment.\n\nIf the idea of building Deepgram's business in South East Asia excites you, we'd like to hear from you.\n\n\n\nBENEFITS & PERKS\n\nWe offer best-in-class benefits, localized to your market. This includes comprehensive health coverage, generous paid time off, paid parental leave, meaningful learning and development support, and stipends to help you do your best work. Specific benefits are administered locally and governed by country-specific regulations.\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.\n\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"3a12f539-7734-46fa-9e3b-28e041e56074","title":"Senior Product Manager, Enterprise","department":"Product","team":"Product","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-24T18:03:56.440+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/3a12f539-7734-46fa-9e3b-28e041e56074","applyUrl":"https://jobs.ashbyhq.com/deepgram/3a12f539-7734-46fa-9e3b-28e041e56074/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram's next phase of growth is upmarket. Our customers have increasing compliance needs and are security-conscious buyers with sophisticated procurement orgs.
This role owns that problem space: making Deepgram enterprise-ready and removing the product blockers that stall upmarket deals. Enterprise buyers don't evaluate readiness as a feature. They evaluate it as a package — identity, security, compliance, and the experience their teams touch — and the absence of any one piece stalls a deal in security review. You own the outcome and ship the fix wherever it belongs: in Console, in our APIs, or in the managed endpoint, partnering with the PMs who own those surfaces.
Today that means enterprise SSO, FedRAMP/FIPS readiness, SBOM and security-artifact self-serve, and a user experience that signals maturity. The specifics will shift as we move upmarket; the mandate won't. This is high-leverage work with real autonomy. You set enterprise product strategy for a Series C company's core upmarket motion while owning a pillar of the business's strategy, with an explicit path to Staff as your scope grows.
What You'll Do
Own the enterprise adoption problem space end to end: the procurement, security, compliance, and UX storylines that have to work together to win upmarket deals.
Set strategy, sequencing across enterprise initiatives which today includes SSO, compliance readiness, and our Console UX, and defend that prioritization with data.
Ship solutions on whatever surface fits the problem: Console, APIs, or the managed endpoint. You own the problem and partner with the PMs who own those surfaces rather than owning the surfaces outright.
Drive enterprise security and compliance readiness so procurement teams can self-serve e.g., SBOM generation and security-artifact access, instead of waiting on us.
Remove the product blockers that stall deals in security review and slow closure.
Work directly with engineers, designers, and sales to ship features. Pull people in when you need to; don't wait for consensus.
Set your own objectives and make the trade-offs, with minimal steering.
Want to own a pillar of company strategy rather than take tickets, and want the autonomy to set direction.
Get genuinely excited by enterprise complexity at scale such as turning identity, provisioning, RBAC, and audit into a package a security team will actually approve.
Care how a product feels, not just whether it works.
Can take a goal like \"frictionless enterprise procurement\" and derive a 12-week plan without asking \"what should I do first?\"
Are comfortable when requirements are imperfect and priorities shift.
Work AI-first by default and want to be on a team that does the same.
Enterprise product experience: you've shipped products into regulated or security-conscious customers and understand their procurement psychology.
Front-end/UX product sensibility: you bring the same rigor to how a product feels that enterprise teams bring to infrastructure.
Strong opinions backed by facts: you can defend your prioritization call with customer data, competitive positioning, and technical reality, and you update when new facts arrive.
An AI-native working style: AI is already part of how you research, analyze, prototype, and decide. This is about using AI to accelerate your own work, not outsourcing your judgment to an LLM. Expect us to probe it directly, including live.
Autonomous decision making and comfort with ambiguity: you thrive with objectives and minimal directional guidance.
Cross-functional range: you work fluently with engineers, designers, and sales.
A Computer Science / Software Engineering background: you understand how software works, why implementation has tradeoffs, and what Engineering needs to build a product.
Security or compliance shipping experience: FIPS, FedRAMP, SOC 2, or similar enterprise features.
Web console or platform-tooling experience: you know how to design experiences for technical audiences.
B2B or enterprise sales-cycle familiarity: you know what procurement orgs care about and why.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOVERVIEW\n\nDeepgram's next phase of growth is upmarket. Our customers have increasing compliance needs and are security-conscious buyers with sophisticated procurement orgs.\n\n\n\nThis role owns that problem space: making Deepgram enterprise-ready and removing the product blockers that stall upmarket deals. Enterprise buyers don't evaluate readiness as a feature. They evaluate it as a package — identity, security, compliance, and the experience their teams touch — and the absence of any one piece stalls a deal in security review. You own the outcome and ship the fix wherever it belongs: in Console, in our APIs, or in the managed endpoint, partnering with the PMs who own those surfaces.\n\n\n\nToday that means enterprise SSO, FedRAMP/FIPS readiness, SBOM and security-artifact self-serve, and a user experience that signals maturity. The specifics will shift as we move upmarket; the mandate won't. This is high-leverage work with real autonomy. You set enterprise product strategy for a Series C company's core upmarket motion while owning a pillar of the business's strategy, with an explicit path to Staff as your scope grows.\n\n\n\nWhat You'll Do\n\n - Own the enterprise adoption problem space end to end: the procurement, security, compliance, and UX storylines that have to work together to win upmarket deals.\n\n - Set strategy, sequencing across enterprise initiatives which today includes SSO, compliance readiness, and our Console UX, and defend that prioritization with data.\n\n - Ship solutions on whatever surface fits the problem: Console, APIs, or the managed endpoint. You own the problem and partner with the PMs who own those surfaces rather than owning the surfaces outright.\n\n - Drive enterprise security and compliance readiness so procurement teams can self-serve e.g., SBOM generation and security-artifact access, instead of waiting on us.\n\n - Remove the product blockers that stall deals in security review and slow closure.\n\n - Work directly with engineers, designers, and sales to ship features. Pull people in when you need to; don't wait for consensus.\n\n - Set your own objectives and make the trade-offs, with minimal steering.\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Want to own a pillar of company strategy rather than take tickets, and want the autonomy to set direction.\n\n - Get genuinely excited by enterprise complexity at scale such as turning identity, provisioning, RBAC, and audit into a package a security team will actually approve.\n\n - Care how a product feels, not just whether it works.\n\n - Can take a goal like \"frictionless enterprise procurement\" and derive a 12-week plan without asking \"what should I do first?\"\n\n - Are comfortable when requirements are imperfect and priorities shift.\n\n - Work AI-first by default and want to be on a team that does the same.\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Enterprise product experience: you've shipped products into regulated or security-conscious customers and understand their procurement psychology.\n\n - Front-end/UX product sensibility: you bring the same rigor to how a product feels that enterprise teams bring to infrastructure.\n\n - Strong opinions backed by facts: you can defend your prioritization call with customer data, competitive positioning, and technical reality, and you update when new facts arrive.\n\n - An AI-native working style: AI is already part of how you research, analyze, prototype, and decide. This is about using AI to accelerate your own work, not outsourcing your judgment to an LLM. Expect us to probe it directly, including live.\n\n - Autonomous decision making and comfort with ambiguity: you thrive with objectives and minimal directional guidance.\n\n - Cross-functional range: you work fluently with engineers, designers, and sales.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - A Computer Science / Software Engineering background: you understand how software works, why implementation has tradeoffs, and what Engineering needs to build a product.\n\n - Security or compliance shipping experience: FIPS, FedRAMP, SOC 2, or similar enterprise features.\n\n - Web console or platform-tooling experience: you know how to design experiences for technical audiences.\n\n - B2B or enterprise sales-cycle familiarity: you know what procurement orgs care about and why.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$165K – $223K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$165K - $223K","compensationTiers":[{"id":"df880135-0b72-43cf-8a11-792a9f6e1d30","tierSummary":"Base Salary Range $178K – $223K • Offers Equity • Offers Bonus","title":"San Francisco, NYC & Seattle","additionalInformation":null,"components":[{"id":"5a6682da-db8f-4b61-8f49-514fc10ae650","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"a9f93bfd-7424-4bdb-836f-15c870aea919","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"87180713-453d-46db-9b4d-01bb0f68c8a0","summary":"Base Salary Range $178K – $223K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":178000,"maxValue":223000}]},{"id":"4a484f75-d77b-458b-b192-b934dd375dff","tierSummary":"Base Salary Range $165K – $206K • Offers Equity • Offers Bonus","title":"Everywhere else in the U.S.","additionalInformation":null,"components":[{"id":"85f62efa-56d6-489a-8b98-74015279127c","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"862e90dd-5dff-4886-bb0d-ebc7ac047dbf","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"2511b502-6ea4-46c7-ab18-3a73048f7652","summary":"Base Salary Range $165K – $206K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":165000,"maxValue":206000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"minValue":165000,"maxValue":223000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"17f95148-fa1c-4c34-82c8-333589bef789","title":"Staff Product Manager, Agentic Experiences (Former Engineer)","department":"Product","team":"Product","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-29T00:11:02.063+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/17f95148-fa1c-4c34-82c8-333589bef789","applyUrl":"https://jobs.ashbyhq.com/deepgram/17f95148-fa1c-4c34-82c8-333589bef789/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
The Opportunity
The way developers find and adopt an API is changing. More and more, an AI coding agent discovers us, chooses the provider, writes the integration, and consumes our API, often with no human ever at the console. Deepgram is looking for a Staff Product Manager to own our product experience for that agent across its whole life with us: how an agent discovers and chooses Deepgram, how it integrates, how it uses the product in production, and how it verifies its own work. You will own that experience end to end, and you will build the system that keeps improving it as agent behavior changes. You report to the VP of Self-Serve.
This is a product management role in the conventional sense: you own the product, its direction, and its decisions, and engineering builds it. Two things set the role apart, and both are required — you are a former engineer who still builds to think and to prove a point, and you are deeply AI-native, with shipped work to show for it. You will prototype, read and write code, and reason with engineering at depth; your job is to own the product, not to be its implementing engineer.
What You'll Do
- Own the agent's experience of Deepgram across its lifecycle — discovery and recommendation, integration and onboarding, production use, and verification.
- Stand up a system that measures and optimizes every stage of the funnel for agents, and keep it current as agent behavior changes.
- Own the product surfaces specific to the agent experience: signup and authentication, the trial-key and token defaults and programmatic key provisioning, console onboarding, and the verification tooling that lets an agent confirm its integration is actually correct.
- Set the requirements for what the agent experience needs from the shared developer platforms — SDK ergonomics, the agent-readable documentation and llms.txt, the MCP server, the CLI, the skills package, and starter templates — and prototype the changes directly, in partnership with the team that owns those platforms.
- Stand up the operating system your work runs on — the rhythms of business, data-driven optimization, and the experimentation platform — by building it in-house or by researching and deploying the best tools available.
- Turn the scale of agent traffic into fast feedback loops, so the product improves as agents use it.
- Bring the product's point of view on agents as users: what they need, where they fail, and what to change, grounded in how models actually retrieve, choose, and integrate.
You'll Love This Role If You
- Were an engineer, moved to product to own outcomes, and never stopped building.
- Think like an architect and can design and stand up a self-optimizing system across discovery, onboarding, and integration.
- Have felt, first-hand, how an AI agent succeeds or fails at a real integration, and have strong opinions about why.
- Want to own a product that is becoming the front door of the business, at the moment it is becoming that.
- Are energized by being early — defining the practice, not inheriting it.
It's Important to Us That You Have
- Excellent product management judgment. You own product and roadmap, set direction, decide under uncertainty, ship outcomes, and lead cross-functional work without authority. You can show the results.
- A former engineer's depth (required). You were a senior software engineer, or more, before you moved to product. You architect and ship production systems, you read and write real code, and you reason with engineering at their level. You are not a vibe coder who assembles what a tool generates.
- Deep AI fluency, proven by shipped work (required). You have personally built and shipped AI software that goes well beyond prompt files and markdown — agents, MCP servers, CLI tools, agent and evaluation harnesses, real model-integrated tools — and it is public. Send us the GitHub; we will read the code, the commits, and the design.
- Proven ability to stand up a complete system from scratch — the rhythms of business, the reporting and optimization, the experimentation platform — yourself or in-house, or by researching and deploying the right tools.
- PLG and developer-product fluency. You understand how developers, and increasingly their agents, adopt APIs, and you understand product-led growth.
- The judgment to distrust a number or a passing test before you build on it. You ask whether it is real, as a reflex.
- Clear communication with executives: you lead with the decision, keep your method in reserve, and hold up under pushback without either caving or digging in.
It Would Be Great If You Had
- Built specifically for AI agents as the consumer — MCP servers, agent harnesses, CLI tools, agent-readable docs, tool definitions, or evals for agent output.
- Experience with voice, audio, or real-time streaming systems.
- A track record of open-source work with real adoption.
- Time in a company with both a self-serve and an enterprise motion.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nThe Opportunity\n\nThe way developers find and adopt an API is changing. More and more, an AI coding agent discovers us, chooses the provider, writes the integration, and consumes our API, often with no human ever at the console. Deepgram is looking for a Staff Product Manager to own our product experience for that agent across its whole life with us: how an agent discovers and chooses Deepgram, how it integrates, how it uses the product in production, and how it verifies its own work. You will own that experience end to end, and you will build the system that keeps improving it as agent behavior changes. You report to the VP of Self-Serve.\n\n\n\nThis is a product management role in the conventional sense: you own the product, its direction, and its decisions, and engineering builds it. Two things set the role apart, and both are required — you are a former engineer who still builds to think and to prove a point, and you are deeply AI-native, with shipped work to show for it. You will prototype, read and write code, and reason with engineering at depth; your job is to own the product, not to be its implementing engineer.\n\n\n\nWhat You'll Do\n\n- Own the agent's experience of Deepgram across its lifecycle — discovery and recommendation, integration and onboarding, production use, and verification.\n\n- Stand up a system that measures and optimizes every stage of the funnel for agents, and keep it current as agent behavior changes.\n\n- Own the product surfaces specific to the agent experience: signup and authentication, the trial-key and token defaults and programmatic key provisioning, console onboarding, and the verification tooling that lets an agent confirm its integration is actually correct.\n\n- Set the requirements for what the agent experience needs from the shared developer platforms — SDK ergonomics, the agent-readable documentation and llms.txt, the MCP server, the CLI, the skills package, and starter templates — and prototype the changes directly, in partnership with the team that owns those platforms.\n\n- Stand up the operating system your work runs on — the rhythms of business, data-driven optimization, and the experimentation platform — by building it in-house or by researching and deploying the best tools available.\n\n- Turn the scale of agent traffic into fast feedback loops, so the product improves as agents use it.\n\n- Bring the product's point of view on agents as users: what they need, where they fail, and what to change, grounded in how models actually retrieve, choose, and integrate.\n\n\n\nYou'll Love This Role If You\n\n- Were an engineer, moved to product to own outcomes, and never stopped building.\n\n- Think like an architect and can design and stand up a self-optimizing system across discovery, onboarding, and integration.\n\n- Have felt, first-hand, how an AI agent succeeds or fails at a real integration, and have strong opinions about why.\n\n- Want to own a product that is becoming the front door of the business, at the moment it is becoming that.\n\n- Are energized by being early — defining the practice, not inheriting it.\n\n\n\nIt's Important to Us That You Have\n\n- Excellent product management judgment. You own product and roadmap, set direction, decide under uncertainty, ship outcomes, and lead cross-functional work without authority. You can show the results.\n\n- A former engineer's depth (required). You were a senior software engineer, or more, before you moved to product. You architect and ship production systems, you read and write real code, and you reason with engineering at their level. You are not a vibe coder who assembles what a tool generates.\n\n- Deep AI fluency, proven by shipped work (required). You have personally built and shipped AI software that goes well beyond prompt files and markdown — agents, MCP servers, CLI tools, agent and evaluation harnesses, real model-integrated tools — and it is public. Send us the GitHub; we will read the code, the commits, and the design.\n\n- Proven ability to stand up a complete system from scratch — the rhythms of business, the reporting and optimization, the experimentation platform — yourself or in-house, or by researching and deploying the right tools.\n\n- PLG and developer-product fluency. You understand how developers, and increasingly their agents, adopt APIs, and you understand product-led growth.\n\n- The judgment to distrust a number or a passing test before you build on it. You ask whether it is real, as a reflex.\n\n- Clear communication with executives: you lead with the decision, keep your method in reserve, and hold up under pushback without either caving or digging in.\n\n\n\nIt Would Be Great If You Had\n\n- Built specifically for AI agents as the consumer — MCP servers, agent harnesses, CLI tools, agent-readable docs, tool definitions, or evals for agent output.\n\n- Experience with voice, audio, or real-time streaming systems.\n\n- A track record of open-source work with real adoption.\n\n- Time in a company with both a self-serve and an enterprise motion.\n\n\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$200K – $268K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$200K - $268K","compensationTiers":[{"id":"792a5ea7-9898-4f89-a457-ffe7a8880da4","tierSummary":"Base Salary Range $215K – $268K • Offers Equity • Offers Bonus","title":"San Francisco, NYC & Seattle","additionalInformation":null,"components":[{"id":"766c354f-0930-4706-8d85-92220b2726ec","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"65293d9d-f013-4b7e-aced-c51714b03e73","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"dd48942f-8a35-4e25-bda4-1e18b460bc54","summary":"Base Salary Range $215K – $268K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":215000,"maxValue":268000}]},{"id":"c4821ac4-0888-452b-815a-b791a582a81d","tierSummary":"Base Salary Range $200K – $250K • Offers Equity • Offers Bonus","title":"Everywhere else in the U.S.","additionalInformation":null,"components":[{"id":"6a7de386-d7c4-48d2-8530-d4cfca4b4b84","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"2aa7cd7e-ad17-4bfe-98f6-00207c3d1175","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"4580b287-9704-47dc-8924-c931126bba8b","summary":"Base Salary Range $200K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":250000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"minValue":200000,"maxValue":268000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"dbf01f1a-3441-4528-be17-0941ccf49191","title":"Sales Development Representative ","department":"Business Development","team":"Business Development","employmentType":"FullTime","location":"Singapore","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-07-29T16:40:59.410+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"Singapore"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/dbf01f1a-3441-4528-be17-0941ccf49191","applyUrl":"https://jobs.ashbyhq.com/deepgram/dbf01f1a-3441-4528-be17-0941ccf49191/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Please note: This role does not sponsor Employment Pass.
Deepgram is looking for an Inbound & Outbound Sales Development Representative to drive new customers and revenue to our rapidly growing company. You will create sales opportunities for Deepgram as you share our mission with CTOs, VPs of Product, and CEOs. You are a critical component in Deepgram’s Revenue organization and will play a pivotal role in growing our top-line revenue to new heights!
What You'll Do
Work with our Partnerships team, Account Executives, and your fellow SDRs to build a strong sales pipeline of new logos, striving to exceed quarterly sales targets
Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness
Have a depth of understanding regarding customer needs in the ASR space, competition, and Deepgram products to be able to fully articulate our value proposition
Research companies to find new speech recognition use cases and opportunities in the market
You’ll Love This Role If You
Value having leadership that has tenure and a track record of success
Thrive working with A Players as cross-functional partners across GTM
Understand the importance of selling a product that is market validated and can deliver on its technical promise
Are passionate about what Deepgram is building and how we are changing what is possible with speech
Are eager to launch your sales career towards enterprise sales
It’s Important to Us That You Have
1+ year of customer-facing work experience in SaaS
Prior sales experience selling a technical product
Dynamic written and verbal communication skills
Empathy and a unique ability to understand customer needs
Exceptional at prioritizing complex outreach schedules and managing high-frequency touchpoints
It Would Be Great If You Had
Experience prospecting companies that fit an ideal customer profile and understanding their business
Consistently overachieved against sales targets in past experiences
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nPlease note: This role does not sponsor Employment Pass.\n\nDeepgram is looking for an Inbound & Outbound Sales Development Representative to drive new customers and revenue to our rapidly growing company. You will create sales opportunities for Deepgram as you share our mission with CTOs, VPs of Product, and CEOs. You are a critical component in Deepgram’s Revenue organization and will play a pivotal role in growing our top-line revenue to new heights!\n\n \n\nWhat You'll Do\n\n - Work with our Partnerships team, Account Executives, and your fellow SDRs to build a strong sales pipeline of new logos, striving to exceed quarterly sales targets\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the ASR space, competition, and Deepgram products to be able to fully articulate our value proposition\n\n - Research companies to find new speech recognition use cases and opportunities in the market\n\n\nYou’ll Love This Role If You\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n - Are eager to launch your sales career towards enterprise sales\n\n\nIt’s Important to Us That You Have\n\n - 1+ year of customer-facing work experience in SaaS\n\n - Prior sales experience selling a technical product\n\n - Dynamic written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Exceptional at prioritizing complex outreach schedules and managing high-frequency touchpoints \n\n\nIt Would Be Great If You Had\n\n - Experience prospecting companies that fit an ideal customer profile and understanding their business\n\n - Consistently overachieved against sales targets in past experiences\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"d0660127-6c26-4053-943c-c006990b8edc","title":"Staff Product Manager (Product-Led Growth)","department":"Product","team":"Product","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-25T00:08:55.683+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/d0660127-6c26-4053-943c-c006990b8edc","applyUrl":"https://jobs.ashbyhq.com/deepgram/d0660127-6c26-4053-943c-c006990b8edc/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
The Opportunity
We are hiring a Staff Product Manager focused on product-led growth. You will own the growth of the developer's journey from first touch to committed customer — as much of that funnel as the team's size calls for — and you will build the product that moves it. This is a founding-era team: the systems are young, the questions are not handed to you, and the person in this role defines what good looks like rather than executing someone else's definition. You report to the VP of Self-Serve and partner daily with engineering, design, developer relations, and the product analyst who owns the measurement behind your work.
What You’ll Do
- The growth of the PLG funnel — the metrics, the experiments that move them, and the product changes behind them. Your span may be one part of the funnel or the whole of it, and it can grow or narrow as the team does.
- The product across that experience — onboarding, the console, and the activation path a developer travels. You decide what ships and why; engineering builds it, and the developer-experience team owns the SDKs and docs you build on.
- The complete system your area runs on, stood up from scratch: the rhythms of business, data-driven optimization, and the experimentation platform. You build it yourself or in-house, or you research and deploy the best tools available.
- A weekly rhythm of shipping and measuring: a hypothesis, a change, an honest read of whether it worked, and the next bet. Not a roadmap of features shipped on faith.
- The cross-team work that falls between owners: with developer relations on acquisition and the shared developer platforms, with marketing on search and answer-engine presence, with sales and customer success on the handoff, and with the analyst on definitions and instrumentation.
You’ll Love This Role If You
- Get energized by being early — building the practice, not inheriting it.
- Have strong, evidence-backed opinions about product-led growth and are eager to be proven wrong by the data.
- Build things yourself. You prototype, you write the SQL to check a hunch, you stand up the landing page, you ship the fix. You do not wait for someone to build it for you.
- Reason at the altitude of a developer making an integration choice, increasingly with an AI agent in the loop.
- Are genuinely AI-native: you work with these tools all day, you know where they help and where they mislead, and you turn them on your own problems.
It’s Important to Us That You Have
- Product-led growth experience. This is mandatory. You have owned a PLG funnel metric — activation, conversion, retention, or acquisition — and moved it, in a product real users adopted without a salesperson.
- A track record as an all-around excellent PM: you set direction, you decide under uncertainty, you ship, and you can show the outcomes.
- The instinct and ability to build. You are technical enough to prototype, to reason about engineering tradeoffs, and to do your own analysis rather than wait on someone else's.
- Proven ability to stand up a complete system from scratch — the rhythms of business, the reporting and optimization, the experimentation platform — yourself or in-house, or by researching and deploying the right tools.
- Genuine AI fluency, judged by what you produce, not what you claim. You have built AI into your workflow past the first demo, you verify what it gives you, and you have a point of view on where it is still wrong.
- The judgment to distrust a number before you build on it. You ask whether a metric is real or an artifact of how it was measured, as a reflex.
- Clear communication with executives: you lead with the decision, hold your method in reserve, and hold up under pushback without either caving or digging in.
It Would Be Great If You Had
- Experience with a developer or API product, and fluency in how developers adopt SDKs and APIs.
- A view on how AI coding agents change discovery and integration, and what it means to have an agent as your user.
- A computer-science or engineering background, or a history of shipping your own side projects.
- Experience with the tools we use — Superset, Heap, GrowthBook, and the like.
- Time in a company that ran both a PLG and an enterprise motion, and understood how they feed each other.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nThe Opportunity\n\nWe are hiring a Staff Product Manager focused on product-led growth. You will own the growth of the developer's journey from first touch to committed customer — as much of that funnel as the team's size calls for — and you will build the product that moves it. This is a founding-era team: the systems are young, the questions are not handed to you, and the person in this role defines what good looks like rather than executing someone else's definition. You report to the VP of Self-Serve and partner daily with engineering, design, developer relations, and the product analyst who owns the measurement behind your work.\n\n\nWhat You’ll Do\n\n- The growth of the PLG funnel — the metrics, the experiments that move them, and the product changes behind them. Your span may be one part of the funnel or the whole of it, and it can grow or narrow as the team does.\n\n- The product across that experience — onboarding, the console, and the activation path a developer travels. You decide what ships and why; engineering builds it, and the developer-experience team owns the SDKs and docs you build on.\n\n- The complete system your area runs on, stood up from scratch: the rhythms of business, data-driven optimization, and the experimentation platform. You build it yourself or in-house, or you research and deploy the best tools available.\n\n- A weekly rhythm of shipping and measuring: a hypothesis, a change, an honest read of whether it worked, and the next bet. Not a roadmap of features shipped on faith.\n\n- The cross-team work that falls between owners: with developer relations on acquisition and the shared developer platforms, with marketing on search and answer-engine presence, with sales and customer success on the handoff, and with the analyst on definitions and instrumentation.\n\n\nYou’ll Love This Role If You\n\n- Get energized by being early — building the practice, not inheriting it.\n\n- Have strong, evidence-backed opinions about product-led growth and are eager to be proven wrong by the data.\n\n- Build things yourself. You prototype, you write the SQL to check a hunch, you stand up the landing page, you ship the fix. You do not wait for someone to build it for you.\n\n- Reason at the altitude of a developer making an integration choice, increasingly with an AI agent in the loop.\n\n- Are genuinely AI-native: you work with these tools all day, you know where they help and where they mislead, and you turn them on your own problems.\n\n\nIt’s Important to Us That You Have\n\n- Product-led growth experience. This is mandatory. You have owned a PLG funnel metric — activation, conversion, retention, or acquisition — and moved it, in a product real users adopted without a salesperson.\n\n- A track record as an all-around excellent PM: you set direction, you decide under uncertainty, you ship, and you can show the outcomes.\n\n- The instinct and ability to build. You are technical enough to prototype, to reason about engineering tradeoffs, and to do your own analysis rather than wait on someone else's.\n\n- Proven ability to stand up a complete system from scratch — the rhythms of business, the reporting and optimization, the experimentation platform — yourself or in-house, or by researching and deploying the right tools.\n\n- Genuine AI fluency, judged by what you produce, not what you claim. You have built AI into your workflow past the first demo, you verify what it gives you, and you have a point of view on where it is still wrong.\n\n- The judgment to distrust a number before you build on it. You ask whether a metric is real or an artifact of how it was measured, as a reflex.\n\n- Clear communication with executives: you lead with the decision, hold your method in reserve, and hold up under pushback without either caving or digging in.\n\n\nIt Would Be Great If You Had\n\n- Experience with a developer or API product, and fluency in how developers adopt SDKs and APIs.\n\n- A view on how AI coding agents change discovery and integration, and what it means to have an agent as your user.\n\n- A computer-science or engineering background, or a history of shipping your own side projects.\n\n- Experience with the tools we use — Superset, Heap, GrowthBook, and the like.\n\n- Time in a company that ran both a PLG and an enterprise motion, and understood how they feed each other.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$200K – $268K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$200K - $268K","compensationTiers":[{"id":"e91c67c6-296c-46d1-9f82-210b4c011e6f","tierSummary":"Base Salary Range $215K – $268K • Offers Equity • Offers Bonus","title":"San Francisco, NYC & Seattle","additionalInformation":null,"components":[{"id":"de15419b-1bed-4434-b3f5-8d7976b6b68b","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"aeb6633a-f0c2-46d9-981f-7f630a2018da","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"87a46dbb-1e76-4573-92d2-4fd91155dea2","summary":"Base Salary Range $215K – $268K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":215000,"maxValue":268000}]},{"id":"3345269a-dd6d-4b7c-9cab-baf435b14702","tierSummary":"Base Salary Range $200K – $250K • Offers Equity • Offers Bonus","title":"Everywhere else in the U.S.","additionalInformation":null,"components":[{"id":"d25b922c-f658-47d0-bb61-eac13c3f6790","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"70494783-848b-4172-a1de-d4f1500ee9e5","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"c6ca4177-3e28-40e8-ab67-4c52641d7590","summary":"Base Salary Range $200K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":250000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"minValue":200000,"maxValue":268000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"d9d5aa44-b675-46e9-b596-45c1c5dca858","title":"Customer Success Engineer ( London)","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"London, UK","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-07-30T16:36:34.271+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"England","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/d9d5aa44-b675-46e9-b596-45c1c5dca858","applyUrl":"https://jobs.ashbyhq.com/deepgram/d9d5aa44-b675-46e9-b596-45c1c5dca858/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Our Customer Success team — The Heartbeat of Deepgram — sits at the intersection of customers, product, and growth. We don't just \"manage accounts.\" We make Deepgram succeed inside our customers' environments by combining deep technical expertise, commercial instinct, and an AI-native way of working — and by building the systems that make the whole team's work compound over time.
A Customer Success Engineer is a hands-on partner who drives adoption, solves hard technical problems, uncovers expansion, and owns a portfolio of strategic enterprise accounts end to end.
You're not a traditional CSM or Technical Account Manager. You operate at the intersection of three competencies, and you're genuinely strong across all three:
Expert technical consulting — you run demos, guide architecture discussions, troubleshoot integrations, and help customers deploy AI-driven solutions. No coding required, but you're fluent in APIs, developer workflows, and real technical conversations.
Strategic account management — you build trust from individual developers up to CTOs, own the full customer lifecycle, and turn technical adoption into commercial growth.
AI-native operating model — AI is how you work, not a tool you occasionally reach for. When you hit recurring work, your instinct is to build the system that removes it.
You may have been a Technical Account Manager, Solutions or Sales Engineer, Forward Deployed Engineer, Implementation Engineer, strategic CSM, or Product Manager. Whatever your path, you're probably strongest in one or two of these competencies — but you can demonstrate all three, and you're eager for a role where you deploy them concurrently.
You thrive on bringing definition to ambiguity. You form a point of view and bring a recommendation rather than staying in open-ended discovery mode. You're comfortable operating outside your comfort zone, you question the status quo, and you learn fast.
Serve as the technical advisor and strategic owner for a portfolio of enterprise accounts, partnering with everyone from developers to CIOs and CTOs.
Own the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.
Drive adoption through live demos, workshops, architecture guidance, troubleshooting, and best-practice recommendations — making Deepgram successful inside the customer's environment.
Run discovery continuously: surface customer problems, understand their business impact, and translate them into actionable requirements for product and engineering.
Identify and scope expansion (cross-sell, upsell, multi-product) in partnership with Sales, and lead executive business reviews and joint planning sessions.
Act as the voice of the customer internally — influencing roadmap, GTM strategy, and the tools we build to support customers.
Track adoption, usage, health, and expansion to drive outcomes; travel to customer sites as needed.
Operate AI-first by default, and build tools, agents, and workflows that eliminate recurring work for you and the broader CS team. Your impact is measured by the leverage you create, not just the accounts you serve.
Significant experience in technical, customer-facing roles — TAM, sales/solutions engineering, enterprise CS with a strong technical focus, implementation, or forward-deployed work — at API-driven, developer-first, or AI companies. For most people that's roughly 7+ years, but we care more about the shape of your experience than the exact number.
A track record that blends customer ownership with technical depth: solution design, hands-on troubleshooting, and commercial growth.
Hands-on experience running demos, POCs, or technical workshops with enterprise customers — leading them, not just attending.
Demonstrated success identifying and landing expansion in complex enterprise accounts.
Fluency discussing APIs, integrations, and developer workflows, and troubleshooting L1-style issues (no coding required, but genuinely conversant — not hand-waving).
Experience engaging both technical stakeholders (developers, architects) and executive buyers (CIO, CTO, VP Engineering).
Exceptional communication, influence, and relationship-building — concise and structured, across technical and business audiences.
Something you've built — a tool, agent, script, or workflow — that permanently eliminated recurring work. In your application, tell us what it was, what it replaced, and what it's still doing today.
An AI-native operating model: specific workflows that structurally depend on AI, and a clear account of how you'd rebuild them if those tools disappeared tomorrow.
Experience in machine learning, voice AI, cloud infrastructure, or developer-first technologies.
A background spanning solutions engineering, TAM, or L1 support alongside CS responsibilities.
Working fluency with automation, scripting, or agent-building (Python, TypeScript, workflow tools, agent frameworks, or equivalent). You don't need to be a software engineer — just dangerous enough to ship working systems.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nOur Customer Success team — The Heartbeat of Deepgram — sits at the intersection of customers, product, and growth. We don't just \"manage accounts.\" We make Deepgram succeed inside our customers' environments by combining deep technical expertise, commercial instinct, and an AI-native way of working — and by building the systems that make the whole team's work compound over time.\n\n \n\nA Customer Success Engineer is a hands-on partner who drives adoption, solves hard technical problems, uncovers expansion, and owns a portfolio of strategic enterprise accounts end to end.\n\n\nWHO YOU ARE\n\nYou're not a traditional CSM or Technical Account Manager. You operate at the intersection of three competencies, and you're genuinely strong across all three:\n\n \n\n 1. Expert technical consulting — you run demos, guide architecture discussions, troubleshoot integrations, and help customers deploy AI-driven solutions. No coding required, but you're fluent in APIs, developer workflows, and real technical conversations.\n\n 2. Strategic account management — you build trust from individual developers up to CTOs, own the full customer lifecycle, and turn technical adoption into commercial growth.\n\n 3. AI-native operating model — AI is how you work, not a tool you occasionally reach for. When you hit recurring work, your instinct is to build the system that removes it.\n\n \n\nYou may have been a Technical Account Manager, Solutions or Sales Engineer, Forward Deployed Engineer, Implementation Engineer, strategic CSM, or Product Manager. Whatever your path, you're probably strongest in one or two of these competencies — but you can demonstrate all three, and you're eager for a role where you deploy them concurrently.\n\n \n\nYou thrive on bringing definition to ambiguity. You form a point of view and bring a recommendation rather than staying in open-ended discovery mode. You're comfortable operating outside your comfort zone, you question the status quo, and you learn fast.\n\n\nWHAT YOU'LL DO\n\n - Serve as the technical advisor and strategic owner for a portfolio of enterprise accounts, partnering with everyone from developers to CIOs and CTOs.\n\n - Own the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.\n\n - Drive adoption through live demos, workshops, architecture guidance, troubleshooting, and best-practice recommendations — making Deepgram successful inside the customer's environment.\n\n - Run discovery continuously: surface customer problems, understand their business impact, and translate them into actionable requirements for product and engineering.\n\n - Identify and scope expansion (cross-sell, upsell, multi-product) in partnership with Sales, and lead executive business reviews and joint planning sessions.\n\n - Act as the voice of the customer internally — influencing roadmap, GTM strategy, and the tools we build to support customers.\n\n - Track adoption, usage, health, and expansion to drive outcomes; travel to customer sites as needed.\n\n - Operate AI-first by default, and build tools, agents, and workflows that eliminate recurring work for you and the broader CS team. Your impact is measured by the leverage you create, not just the accounts you serve.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Significant experience in technical, customer-facing roles — TAM, sales/solutions engineering, enterprise CS with a strong technical focus, implementation, or forward-deployed work — at API-driven, developer-first, or AI companies. For most people that's roughly 7+ years, but we care more about the shape of your experience than the exact number.\n\n - A track record that blends customer ownership with technical depth: solution design, hands-on troubleshooting, and commercial growth.\n\n - Hands-on experience running demos, POCs, or technical workshops with enterprise customers — leading them, not just attending.\n\n - Demonstrated success identifying and landing expansion in complex enterprise accounts.\n\n - Fluency discussing APIs, integrations, and developer workflows, and troubleshooting L1-style issues (no coding required, but genuinely conversant — not hand-waving).\n\n - Experience engaging both technical stakeholders (developers, architects) and executive buyers (CIO, CTO, VP Engineering).\n\n - Exceptional communication, influence, and relationship-building — concise and structured, across technical and business audiences.\n\n - Something you've built — a tool, agent, script, or workflow — that permanently eliminated recurring work. In your application, tell us what it was, what it replaced, and what it's still doing today.\n\n - An AI-native operating model: specific workflows that structurally depend on AI, and a clear account of how you'd rebuild them if those tools disappeared tomorrow.\n\n\nNICE TO HAVE\n\n - Experience in machine learning, voice AI, cloud infrastructure, or developer-first technologies.\n\n - A background spanning solutions engineering, TAM, or L1 support alongside CS responsibilities.\n\n - Working fluency with automation, scripting, or agent-building (Python, TypeScript, workflow tools, agent frameworks, or equivalent). You don't need to be a software engineer — just dangerous enough to ship working systems.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"fcd70595-9e0c-4347-914e-cb4a51be3492","title":"Federal Partner Manager","department":"Business Development","team":"Business Development","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-31T13:27:17.340+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/fcd70595-9e0c-4347-914e-cb4a51be3492","applyUrl":"https://jobs.ashbyhq.com/deepgram/fcd70595-9e0c-4347-914e-cb4a51be3492/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is the Voice AI platform powering the next generation of mission-critical government systems, including contact center modernization, benefits and case processing, and real-time speech applications across Defense, Federal Civilian, Intelligence Community, and State, Local, and Education (SLED) agencies. As we scale our federal footprint, Systems Integrators and Primes, cloud hyperscalers, and channel partners are our highest-leverage route to market. Our partners sit at the center of the AI modernization programs happening inside every federal agency. We are hiring a Federal Partner Manager to build, grow, and scale Deepgram's federal partner network from the ground up.
This is a builder role. You will own the strategy and execution for our named Systems Integrator and Prime practices alongside strategic hyperscaler alliances and channel partners, and you will define what a world-class AI-native federal partner motion looks like at Deepgram. You will design and drive sell-to, sell-through, and sell-with motions, land joint solutions inside each partner's delivery and capture organization, and deliver measurable partner-sourced and partner-influenced revenue. You will not run a traditional partner program. You will run an AI-first approach: leveraging agents, automation, and data to operate at 10x the scale of a conventional federal alliances team.
If you are a partner leader who thrives on whitespace, has a proven record scaling federal SI/prime and hyperscaler relationships from zero, and genuinely wants to use AI to reinvent how federal partner GTM is done, this role is for you.
What you'll do
Work closely with the VP of Federal and own the federal partner strategy end-to-end. Build and execute the named-account strategy for federal and strategic hyperscaler partners; including joint value propositions, partner account plans, solution plays, and governance cadences with each partner's alliances and delivery leadership.
Drive sell-to, sell-through, and sell-with motions:
Sell-to: Land Deepgram as the embedded speech/voice AI layer inside each SI/prime's own AI platforms, mission software factories, and delivery accelerators.
Sell-through: Stand up repeatable SI/prime-led offerings (agency contact center transformation, DoD voice-enabled C2/ISR analytics, benefits-processing voice AI) that the partner takes to its agency customers under its own contract vehicle.
Sell-with: Co-sell into named federal accounts with SI and hyperscaler account teams, owning joint pipeline, forecast, and deal execution alongside Deepgram's Federal Account Executives.
Build a measurable partner-sourced and partner-influenced pipeline. Set quarterly and annual targets with each partner, instrument the pipeline end-to-end, and own the number.
Work alongside the partner team to build the federal partner enablement and credential/certification program. Align Deepgram's Applied Engineering/FDE playbook with SI and hyperscaler delivery teams.
Create the joint solutions. Work with product, engineering, solutions architects, and each partner's industry/mission practices to package reference architectures, delivery playbooks, and offerings specific to Defense/DoW, Federal Civilian, IC, and SLED.
Enable at scale. Design and launch partner enablement — technical certifications, sales plays, GovCloud demo environments, and solution-led training — plus contract-vehicle placement (GSA MAS, NASA SEWP, CIO-SP3, GWACs); so hundreds of partner sellers and practitioners can position, demo, and deliver Deepgram.
Be AI-native in how you work. This is a defining part of the role. You will build and deploy AI systems — agents, automations, data pipelines — to do the job of a conventional 5–10 person federal alliances team. Examples:
Agents that monitor SI/prime alliance news, contract awards, GSA Schedule updates, and account movements, and auto-draft briefs.
Automated partner-sourced pipeline hygiene, account mapping, and co-sell attribution using Deepgram's CRM, Slack, and partner portals.
AI-generated partner-specific collateral, solution briefs, and enablement content tuned to each partner's agency vertical.
Data pipelines that join Deepgram's CRM with partner account maps and public procurement signals (SAM.gov, USASpending) to surface the next-best co-sell opportunity every week.
Represent Deepgram externally. Be the senior face of Deepgram in alliance QBRs, joint executive briefings, federal AI summits (AFCEA, ACT-IAC, GITEC), and industry events. Carry a consistent point of view on where federal voice AI is going and where Deepgram fits in the SI/prime agenda.
Partner cross-functionally inside Deepgram. Work closely with Federal Account Executives (Defense, Federal Civilian, IC, SLED), Applied Engineering, Capture/Proposal, Government Affairs, and Legal to remove friction and accelerate partner-driven revenue.
Report on what matters. Own the federal partner dashboard: partner-sourced pipeline, partner-influenced pipeline, joint wins, certified resources, joint solutions launched, and partner NPS; with crisp, honest narratives each month and quarter.
What you bring
Must be a U.S. citizen.
7+ years in partner management, alliances, business development, or federal enterprise sales — with at least 3–5 years directly owning SI/prime or hyperscaler federal relationships.
Demonstrated track record of building sell-to, sell-through, and sell-with motions with named federal partners and delivering measurable partner-sourced and partner-influenced revenue.
Experience scaling a federal partnership from early-stage or zero — not inheriting a mature program.
Strong command of how federal SIs/primes actually operate: capture teams, delivery centers, COEs, contract vehicles, teaming agreements, and how deals get sourced and staffed inside them.
Fluency with the federal AI landscape — LLMs, agentic AI, mission software factories, FedRAMP/DoD Impact Level authorization pathways, and hyperscaler federal co-sell motions.
Hands-on AI-native operator. You personally use AI tools every day — not as a talking point. You have built automations, agents, or data workflows that replaced meaningful human effort, and you can show us.
Excellent executive presence — comfortable opening and advancing conversations with partner SVPs, federal practice leads, and Deepgram's own executive team.
Analytical rigor. You instrument what you own, tell the truth with data, and translate numbers into decisions.
Self-directed, high-ownership, and comfortable operating in a fast-moving, ambiguous environment.
It would be great if you also had
An active security clearance is a bonus, not a requirement.
Existing strong relationships inside at least two of SI or Prime partner organizations.
Direct experience launching a joint federal offering or solution that produced repeatable agency engagements.
Background in speech, voice AI, CCaaS, or adjacent domains (AWS Connect GovCloud, Genesys Government, NICE, ServiceNow Federal).
Experience building internal AI tooling — agents, RAG systems, CRM automations — for a revenue team.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is the Voice AI platform powering the next generation of mission-critical government systems, including contact center modernization, benefits and case processing, and real-time speech applications across Defense, Federal Civilian, Intelligence Community, and State, Local, and Education (SLED) agencies. As we scale our federal footprint, Systems Integrators and Primes, cloud hyperscalers, and channel partners are our highest-leverage route to market. Our partners sit at the center of the AI modernization programs happening inside every federal agency. We are hiring a Federal Partner Manager to build, grow, and scale Deepgram's federal partner network from the ground up.\n\nThis is a builder role. You will own the strategy and execution for our named Systems Integrator and Prime practices alongside strategic hyperscaler alliances and channel partners, and you will define what a world-class AI-native federal partner motion looks like at Deepgram. You will design and drive sell-to, sell-through, and sell-with motions, land joint solutions inside each partner's delivery and capture organization, and deliver measurable partner-sourced and partner-influenced revenue. You will not run a traditional partner program. You will run an AI-first approach: leveraging agents, automation, and data to operate at 10x the scale of a conventional federal alliances team.\n\nIf you are a partner leader who thrives on whitespace, has a proven record scaling federal SI/prime and hyperscaler relationships from zero, and genuinely wants to use AI to reinvent how federal partner GTM is done, this role is for you.\n\nWhat you'll do\n\n - Work closely with the VP of Federal and own the federal partner strategy end-to-end. Build and execute the named-account strategy for federal and strategic hyperscaler partners; including joint value propositions, partner account plans, solution plays, and governance cadences with each partner's alliances and delivery leadership.\n\n - Drive sell-to, sell-through, and sell-with motions:\n\n - Sell-to: Land Deepgram as the embedded speech/voice AI layer inside each SI/prime's own AI platforms, mission software factories, and delivery accelerators.\n\n - Sell-through: Stand up repeatable SI/prime-led offerings (agency contact center transformation, DoD voice-enabled C2/ISR analytics, benefits-processing voice AI) that the partner takes to its agency customers under its own contract vehicle.\n\n - Sell-with: Co-sell into named federal accounts with SI and hyperscaler account teams, owning joint pipeline, forecast, and deal execution alongside Deepgram's Federal Account Executives.\n\n - Build a measurable partner-sourced and partner-influenced pipeline. Set quarterly and annual targets with each partner, instrument the pipeline end-to-end, and own the number.\n\n - Work alongside the partner team to build the federal partner enablement and credential/certification program. Align Deepgram's Applied Engineering/FDE playbook with SI and hyperscaler delivery teams.\n\n - Create the joint solutions. Work with product, engineering, solutions architects, and each partner's industry/mission practices to package reference architectures, delivery playbooks, and offerings specific to Defense/DoW, Federal Civilian, IC, and SLED.\n\n - Enable at scale. Design and launch partner enablement — technical certifications, sales plays, GovCloud demo environments, and solution-led training — plus contract-vehicle placement (GSA MAS, NASA SEWP, CIO-SP3, GWACs); so hundreds of partner sellers and practitioners can position, demo, and deliver Deepgram.\n\n - Be AI-native in how you work. This is a defining part of the role. You will build and deploy AI systems — agents, automations, data pipelines — to do the job of a conventional 5–10 person federal alliances team. Examples:\n\n - Agents that monitor SI/prime alliance news, contract awards, GSA Schedule updates, and account movements, and auto-draft briefs.\n\n - Automated partner-sourced pipeline hygiene, account mapping, and co-sell attribution using Deepgram's CRM, Slack, and partner portals.\n\n - AI-generated partner-specific collateral, solution briefs, and enablement content tuned to each partner's agency vertical.\n\n - Data pipelines that join Deepgram's CRM with partner account maps and public procurement signals (SAM.gov http://SAM.gov, USASpending) to surface the next-best co-sell opportunity every week.\n\n - Represent Deepgram externally. Be the senior face of Deepgram in alliance QBRs, joint executive briefings, federal AI summits (AFCEA, ACT-IAC, GITEC), and industry events. Carry a consistent point of view on where federal voice AI is going and where Deepgram fits in the SI/prime agenda.\n\n - Partner cross-functionally inside Deepgram. Work closely with Federal Account Executives (Defense, Federal Civilian, IC, SLED), Applied Engineering, Capture/Proposal, Government Affairs, and Legal to remove friction and accelerate partner-driven revenue.\n\n - Report on what matters. Own the federal partner dashboard: partner-sourced pipeline, partner-influenced pipeline, joint wins, certified resources, joint solutions launched, and partner NPS; with crisp, honest narratives each month and quarter.\n\nWhat you bring\n\n - Must be a U.S. citizen.\n\n - 7+ years in partner management, alliances, business development, or federal enterprise sales — with at least 3–5 years directly owning SI/prime or hyperscaler federal relationships.\n\n - Demonstrated track record of building sell-to, sell-through, and sell-with motions with named federal partners and delivering measurable partner-sourced and partner-influenced revenue.\n\n - Experience scaling a federal partnership from early-stage or zero — not inheriting a mature program.\n\n - Strong command of how federal SIs/primes actually operate: capture teams, delivery centers, COEs, contract vehicles, teaming agreements, and how deals get sourced and staffed inside them.\n\n - Fluency with the federal AI landscape — LLMs, agentic AI, mission software factories, FedRAMP/DoD Impact Level authorization pathways, and hyperscaler federal co-sell motions.\n\n - Hands-on AI-native operator. You personally use AI tools every day — not as a talking point. You have built automations, agents, or data workflows that replaced meaningful human effort, and you can show us.\n\n - Excellent executive presence — comfortable opening and advancing conversations with partner SVPs, federal practice leads, and Deepgram's own executive team.\n\n - Analytical rigor. You instrument what you own, tell the truth with data, and translate numbers into decisions.\n\n - Self-directed, high-ownership, and comfortable operating in a fast-moving, ambiguous environment.\n\nIt would be great if you also had\n\n - An active security clearance is a bonus, not a requirement.\n\n - Existing strong relationships inside at least two of SI or Prime partner organizations.\n\n - Direct experience launching a joint federal offering or solution that produced repeatable agency engagements.\n\n - Background in speech, voice AI, CCaaS, or adjacent domains (AWS Connect GovCloud, Genesys Government, NICE, ServiceNow Federal).\n\n - Experience building internal AI tooling — agents, RAG systems, CRM automations — for a revenue team.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$200K – $250K • Offers Equity","scrapeableCompensationSalarySummary":"$200K - $250K","compensationTiers":[{"id":"b3ab5767-ea10-408c-9f30-14a914773b1e","tierSummary":"$200K – $250K • Offers Equity","title":"(70/30 Split plan) San Francisco or NYC or Seattle OTE $235-300k Anywhere else OTE","additionalInformation":null,"components":[{"id":"8fdeeafb-aaa6-4e44-9b60-f157ec09aed0","summary":"$200K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":250000},{"id":"25958577-8730-43e0-94fe-4972901a594a","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":250000},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"c22e34a4-018a-4123-a752-31ed64c320c8","title":"Strategic Account Executive (Federal Civilian)","department":"Sales - AE","team":"Sales - AE","employmentType":"FullTime","location":"Washington D.C.","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-03T18:38:06.078+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":"Washington D.C."}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/c22e34a4-018a-4123-a752-31ed64c320c8","applyUrl":"https://jobs.ashbyhq.com/deepgram/c22e34a4-018a-4123-a752-31ed64c320c8/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is the Voice AI platform powering the next generation of government contact centers, benefits and case processing, and real-time speech applications. Federal Civilian agencies — VA, HHS, DHS, SSA, USDA, Treasury, DOJ, GSA, CBP, USCIS, FEMA, TSA, IRS, CMS, and FDA — represent for Deepgram what enterprise Global 2000 accounts represent commercially: the core buying constituency for mission-critical voice AI. We are hiring a Strategic Account Executive, Federal Civilian Agencies to build, grow, and scale Deepgram's civilian agency book of business from the ground up.
This is a builder role, directly reporting to the VP of Federal. You will own the strategy and execution for named civilian agency accounts, and you will define what a world-class AI-native federal seller looks like at Deepgram. You will design and drive direct, partner-assisted, and channel-enabled motions, land Deepgram inside real mission programs, and deliver measurable pipeline and closed revenue. You will not run a traditional territory. You will run an AI-first approach: leveraging agents, automation, and data to operate like a seller with a research and BD team behind you.
If you are a seller who thrives on whitespace, has a proven record building federal civilian relationships from zero, and genuinely wants to use AI to reinvent how federal selling is done, this role is for you.
What you'll do
Own the Federal Civilian go-to-market strategy. Build and execute a named-account strategy for target agencies; including agency mission mapping, account plans, and stakeholder engagement across program, technical, and contracting stakeholders.
Drive direct, partner-assisted, and channel-enabled motions:
Direct: Prospect, qualify, and close opportunities directly with agency program offices and mission owners.
Partner-assisted: Co-sell with Deepgram's Federal Partnerships team and named SIs/primes already embedded in an agency's delivery contract.
Channel-enabled: Route and manage deals through GSA Schedule resellers to meet agency purchasing requirements.
Build a measurable, quota-carrying pipeline. Meet quarterly and annual targets, instrument the pipeline end-to-end in CRM, and own the number.
Navigate government contracting mechanics — RFIs, RFPs, sole-source/J&A justifications, GSA Schedule ordering — as a normal part of the sales motion, not an afterthought.
Build the win strategy for each opportunity. Work with Sales and Applied Engineering to develop compliant, compelling responses to competitive and sole-source opportunities.
Be AI-native in how you work. This is a defining part of the role. Examples:
Agents that monitor agency budget, RFP, and award signals (SAM.gov, USASpending, agency IT modernization roadmaps) and auto-draft account briefs.
Automated pipeline hygiene and next-best-action recommendations tied to CRM.
AI-generated, agency-specific outreach and proposal content.
Data pipelines that join CRM with public procurement data to surface the next opportunity before an RFP drops.
Represent Deepgram externally at civilian-agency industry days, conferences (ACT-IAC, AFCEA, GITEC), and customer events. Carry a consistent point of view on where federal voice AI adoption is heading.
Partner cross-functionally inside Deepgram. Work closely with Federal Partnerships, Applied Engineering and Legal to remove friction and accelerate civilian-agency revenue.
Report on what matters. Own your pipeline dashboard: sourced pipeline, partner-influenced pipeline, closed/won revenue, and forecast accuracy; with crisp, honest narratives each month and quarter.
What you bring
Must be a U.S. citizen.
5+ years of full-cycle sales experience, with at least 3 years directly selling to Federal Civilian agencies (enterprise SaaS/technology sales strongly preferred).
Demonstrated track record of meeting or exceeding quota in complex, multi-stakeholder federal sales cycles.
Experience building a federal territory or book of business from early-stage or zero — not inheriting a mature book.
Strong command of how civilian agencies buy: program offices, contracting officers, GSA Schedule ordering, BPAs/IDIQs, and how deals actually get funded and staffed.
Fluency with the broader federal AI/modernization landscape; EO 14058 customer experience mandates FedRAMP, agentic AI, and CCaaS/contact-center ecosystems.
Hands-on AI-native operator. You use AI tools daily, have built automations or workflows that replaced meaningful manual effort, and can show us.
Excellent executive presence and comfortable engaging senior government stakeholders and Deepgram's own leadership.
Analytical rigor. You instrument your pipeline, tell the truth with data, and translate numbers into decisions.
Self-directed, high-ownership, and comfortable operating in a fast-moving, ambiguous environment.
It would be great if you also had
An active security clearance is a bonus, not a requirement — helpful for select civilian agency components with sensitive programs, though the large majority of Federal Civilian work does not require one.
Existing relationships with stakeholders inside at least two target civilian agencies, and/or the reseller ecosystem.
Direct experience closing a novel or first-of-kind deal at a civilian agency.
Background selling speech/voice AI, contact-center, or developer-first API products.
Familiarity with sales methodologies such as Shipley or Solution Selling in government contexts.
Experience building internal AI tooling for a sales or revenue workflow.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is the Voice AI platform powering the next generation of government contact centers, benefits and case processing, and real-time speech applications. Federal Civilian agencies — VA, HHS, DHS, SSA, USDA, Treasury, DOJ, GSA, CBP, USCIS, FEMA, TSA, IRS, CMS, and FDA — represent for Deepgram what enterprise Global 2000 accounts represent commercially: the core buying constituency for mission-critical voice AI. We are hiring a Strategic Account Executive, Federal Civilian Agencies to build, grow, and scale Deepgram's civilian agency book of business from the ground up.\n\nThis is a builder role, directly reporting to the VP of Federal. You will own the strategy and execution for named civilian agency accounts, and you will define what a world-class AI-native federal seller looks like at Deepgram. You will design and drive direct, partner-assisted, and channel-enabled motions, land Deepgram inside real mission programs, and deliver measurable pipeline and closed revenue. You will not run a traditional territory. You will run an AI-first approach: leveraging agents, automation, and data to operate like a seller with a research and BD team behind you.\n\nIf you are a seller who thrives on whitespace, has a proven record building federal civilian relationships from zero, and genuinely wants to use AI to reinvent how federal selling is done, this role is for you.\n\nWhat you'll do\n\n - Own the Federal Civilian go-to-market strategy. Build and execute a named-account strategy for target agencies; including agency mission mapping, account plans, and stakeholder engagement across program, technical, and contracting stakeholders.\n\n - Drive direct, partner-assisted, and channel-enabled motions:\n\n - Direct: Prospect, qualify, and close opportunities directly with agency program offices and mission owners.\n\n - Partner-assisted: Co-sell with Deepgram's Federal Partnerships team and named SIs/primes already embedded in an agency's delivery contract.\n\n - Channel-enabled: Route and manage deals through GSA Schedule resellers to meet agency purchasing requirements.\n\n - Build a measurable, quota-carrying pipeline. Meet quarterly and annual targets, instrument the pipeline end-to-end in CRM, and own the number.\n\n - Navigate government contracting mechanics — RFIs, RFPs, sole-source/J&A justifications, GSA Schedule ordering — as a normal part of the sales motion, not an afterthought.\n\n - Build the win strategy for each opportunity. Work with Sales and Applied Engineering to develop compliant, compelling responses to competitive and sole-source opportunities.\n\n - Be AI-native in how you work. This is a defining part of the role. Examples:\n\n - Agents that monitor agency budget, RFP, and award signals (SAM.gov http://SAM.gov, USASpending, agency IT modernization roadmaps) and auto-draft account briefs.\n\n - Automated pipeline hygiene and next-best-action recommendations tied to CRM.\n\n - AI-generated, agency-specific outreach and proposal content.\n\n - Data pipelines that join CRM with public procurement data to surface the next opportunity before an RFP drops.\n\n - Represent Deepgram externally at civilian-agency industry days, conferences (ACT-IAC, AFCEA, GITEC), and customer events. Carry a consistent point of view on where federal voice AI adoption is heading.\n\n - Partner cross-functionally inside Deepgram. Work closely with Federal Partnerships, Applied Engineering and Legal to remove friction and accelerate civilian-agency revenue.\n\n - Report on what matters. Own your pipeline dashboard: sourced pipeline, partner-influenced pipeline, closed/won revenue, and forecast accuracy; with crisp, honest narratives each month and quarter.\n\nWhat you bring\n\n - Must be a U.S. citizen.\n\n - 5+ years of full-cycle sales experience, with at least 3 years directly selling to Federal Civilian agencies (enterprise SaaS/technology sales strongly preferred).\n\n - Demonstrated track record of meeting or exceeding quota in complex, multi-stakeholder federal sales cycles.\n\n - Experience building a federal territory or book of business from early-stage or zero — not inheriting a mature book.\n\n - Strong command of how civilian agencies buy: program offices, contracting officers, GSA Schedule ordering, BPAs/IDIQs, and how deals actually get funded and staffed.\n\n - Fluency with the broader federal AI/modernization landscape; EO 14058 customer experience mandates FedRAMP, agentic AI, and CCaaS/contact-center ecosystems.\n\n - Hands-on AI-native operator. You use AI tools daily, have built automations or workflows that replaced meaningful manual effort, and can show us.\n\n - Excellent executive presence and comfortable engaging senior government stakeholders and Deepgram's own leadership.\n\n - Analytical rigor. You instrument your pipeline, tell the truth with data, and translate numbers into decisions.\n\n - Self-directed, high-ownership, and comfortable operating in a fast-moving, ambiguous environment.\n\nIt would be great if you also had\n\n - An active security clearance is a bonus, not a requirement — helpful for select civilian agency components with sensitive programs, though the large majority of Federal Civilian work does not require one.\n\n - Existing relationships with stakeholders inside at least two target civilian agencies, and/or the reseller ecosystem.\n\n - Direct experience closing a novel or first-of-kind deal at a civilian agency.\n\n - Background selling speech/voice AI, contact-center, or developer-first API products.\n\n - Familiarity with sales methodologies such as Shipley or Solution Selling in government contexts.\n\n - Experience building internal AI tooling for a sales or revenue workflow.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$280K – $350K • Offers Equity • Offers Commission","scrapeableCompensationSalarySummary":"$280K - $350K","compensationTiers":[{"id":"be783412-016c-4b5a-97bf-b535bae12df6","tierSummary":"OTE $280K – $350K • Offers Equity • Offers Commission","title":null,"additionalInformation":null,"components":[{"id":"bda09696-42d2-48f5-939c-7d565e49cc61","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"c964547b-9990-4139-ac31-8bc2facfdb91","summary":"Offers Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"a2a7cfb6-4d48-4923-94f6-68aa78c3305a","summary":"OTE $280K – $350K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":280000,"maxValue":350000}]}],"summaryComponents":[{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":280000,"maxValue":350000}]}},{"id":"8a9bcce3-858f-4cc0-8459-2fe552b6aaa5","title":"Senior Pre-Sales Solutions Engineer (Australia)","department":"Applied Engineering","team":"Applied Engineering","employmentType":"FullTime","location":"Australia- Melbourne","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-08-05T17:17:10.279+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/deepgram/8a9bcce3-858f-4cc0-8459-2fe552b6aaa5","applyUrl":"https://jobs.ashbyhq.com/deepgram/8a9bcce3-858f-4cc0-8459-2fe552b6aaa5/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Note: this role is based out of Australia and will service the APAC region.
Opportunity
Deepgram is expanding across APAC and operating a follow-the-sun model. We are hiring a Pre-Sales Solutions Engineer in Australia to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long term across discovery, POC, production launch, and expansion. You will focus on pre-sales, and you will often step into post-sales style work when the stakes are high and continuity matters.
Applied Engineering blends what many companies split into Solutions Engineering, Architecture, Consulting, and Senior Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.
Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.
Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.
Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs.
Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.
Run security and compliance threads common in APAC. Prepare crisp responses for Singapore PDPA, Japan APPI, Korea PIPA, Australia’s Privacy Act, and India’s DPDP Act.
Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.
Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.
Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.
Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.
Based in Australia with strong overlap to customer business hours across East Asia, Southeast Asia, and ANZ.
Excellent written and spoken English. Additional Asian languages are a strong plus.
Familiarity with procurement, InfoSec, and data privacy expectations across APAC.
Ability to travel within the region for key customer milestones. Estimated travel 10 to 20 percent.
Ramp approach for this role Ramping mirrors the Solutions Architect plan, with explicit ticket work and earlier support for strategic Account Executives. In the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active evaluations.
First 30 days
Ramp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.
Shadow strategic discovery and POC calls across APAC time zones.
Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.
Publish one internal field guide that clarifies a common APAC pre-sales topic (for example data residency, telephony capture, or evaluation metrics).
By day 60
Own two evaluations end to end with defined success criteria and timelines.
Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection-handling packs.
Take point on higher-signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.
Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.
By day 90
Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.
Close at least one complex technical win with a measurable impact on revenue.
Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.
Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.
Enjoy the mix of customer conversations and hands-on building.
Can move from whiteboard to working code and back without losing the thread.
Communicate clearly with executives and deeply with engineers.
Value speed with rigor and crisp documentation.
Like winning together across regions and functions.
5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.
Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.
Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.
Proven track record leading POCs for enterprise customers and earning the technical win.
Clear written and verbal communication across both technical and executive audiences.
Experience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.
Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.
Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.
Strong understanding of authentication, authorization, and data residency topics that appear in APAC enterprise reviews.
Fluency in an additional Asian language such as Japanese, Korean, Mandarin, or Hindi.
Remote across APAC with periodic regional meetups.
Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across APAC, EMEA, and the Americas.
Shared playbooks, defined escalation paths, and measurable SLAs.
Recruiter screen focused on experience, motivations, and logistics.
Hiring manager conversation focused on technical depth and customer impact.
Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.
Panel interviews with cross-functional partners.
Live demo and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.
If this sounds like you, we would love to meet you!
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nNote: this role is based out of Australia and will service the APAC region.\n\n \n\nOpportunity\n\nDeepgram is expanding across APAC and operating a follow-the-sun model. We are hiring a Pre-Sales Solutions Engineer in Australia to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long term across discovery, POC, production launch, and expansion. You will focus on pre-sales, and you will often step into post-sales style work when the stakes are high and continuity matters.\n\n \n\n\nABOUT APPLIED ENGINEERING AT DEEPGRAM\n\nApplied Engineering blends what many companies split into Solutions Engineering, Architecture, Consulting, and Senior Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.\n\n \n\n\nWHAT YOU WILL DO\n\n - Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.\n\n - Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.\n\n - Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs.\n\n - Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.\n\n - Run security and compliance threads common in APAC. Prepare crisp responses for Singapore PDPA, Japan APPI, Korea PIPA, Australia’s Privacy Act, and India’s DPDP Act.\n\n - Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.\n\n - Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.\n\n - Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.\n\n - Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.\n\n \n\n\nREGIONAL EXPECTATIONS\n\n - Based in Australia with strong overlap to customer business hours across East Asia, Southeast Asia, and ANZ.\n\n - Excellent written and spoken English. Additional Asian languages are a strong plus.\n\n - Familiarity with procurement, InfoSec, and data privacy expectations across APAC.\n\n - Ability to travel within the region for key customer milestones. Estimated travel 10 to 20 percent.\n\n \n\n\nYOUR FIRST 90 DAYS\n\nRamp approach for this role Ramping mirrors the Solutions Architect plan, with explicit ticket work and earlier support for strategic Account Executives. In the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active evaluations.\n\nFirst 30 days\n\n - Ramp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.\n\n - Shadow strategic discovery and POC calls across APAC time zones.\n\n - Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.\n\n - Publish one internal field guide that clarifies a common APAC pre-sales topic (for example data residency, telephony capture, or evaluation metrics).\n\nBy day 60\n\n - Own two evaluations end to end with defined success criteria and timelines.\n\n - Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection-handling packs.\n\n - Take point on higher-signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.\n\n - Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.\n\nBy day 90\n\n - Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.\n\n - Close at least one complex technical win with a measurable impact on revenue.\n\n - Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.\n\n - Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.\n\n \n\n\nYOU WILL THRIVE HERE IF YOU\n\n - Enjoy the mix of customer conversations and hands-on building.\n\n - Can move from whiteboard to working code and back without losing the thread.\n\n - Communicate clearly with executives and deeply with engineers.\n\n - Value speed with rigor and crisp documentation.\n\n - Like winning together across regions and functions.\n\n\nMINIMUM QUALIFICATIONS\n\n - 5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.\n\n - Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.\n\n - Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.\n\n - Proven track record leading POCs for enterprise customers and earning the technical win.\n\n - Clear written and verbal communication across both technical and executive audiences.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.\n\n - Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.\n\n - Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.\n\n - Strong understanding of authentication, authorization, and data residency topics that appear in APAC enterprise reviews.\n\n - Fluency in an additional Asian language such as Japanese, Korean, Mandarin, or Hindi.\n\n \n\n\nHOW WE WORK\n\n - Remote across APAC with periodic regional meetups.\n\n - Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across APAC, EMEA, and the Americas.\n\n - Shared playbooks, defined escalation paths, and measurable SLAs.\n\n \n\n\nINTERVIEW PROCESS\n\n - Recruiter screen focused on experience, motivations, and logistics.\n\n - Hiring manager conversation focused on technical depth and customer impact.\n\n - Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.\n\n - Panel interviews with cross-functional partners.\n\n - Live demo and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.\n\nIf this sounds like you, we would love to meet you!\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"d28f0a61-4a59-4817-b101-3457077b01b7","title":"Senior Pre-Sales Solutions Engineer (Singapore)","department":"Applied Engineering","team":"Applied Engineering","employmentType":"FullTime","location":"APAC - Remote","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-08-05T17:21:33.231+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/d28f0a61-4a59-4817-b101-3457077b01b7","applyUrl":"https://jobs.ashbyhq.com/deepgram/d28f0a61-4a59-4817-b101-3457077b01b7/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Note: this role is based out of Singapore and will service the APAC region.
Opportunity
Deepgram is expanding across APAC and operating a follow-the-sun model. We are hiring a Pre-Sales Solutions Engineer in Singapore to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long term across discovery, POC, production launch, and expansion. You will focus on pre-sales, and you will often step into post-sales style work when the stakes are high and continuity matters.
Applied Engineering blends what many companies split into Solutions Engineering, Architecture, Consulting, and Senior Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.
Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.
Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.
Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs.
Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.
Run security and compliance threads common in APAC. Prepare crisp responses for Singapore PDPA, Japan APPI, Korea PIPA, Australia’s Privacy Act, and India’s DPDP Act.
Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.
Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.
Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.
Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.
Based in Singapore with strong overlap to customer business hours across East Asia, Southeast Asia, and ANZ.
Excellent written and spoken English. Additional Asian languages are a strong plus.
Familiarity with procurement, InfoSec, and data privacy expectations across APAC.
Ability to travel within the region for key customer milestones. Estimated travel 10 to 20 percent.
Ramp approach for this role Ramping mirrors the Solutions Architect plan, with explicit ticket work and earlier support for strategic Account Executives. In the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active evaluations.
First 30 days
Ramp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.
Shadow strategic discovery and POC calls across APAC time zones.
Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.
Publish one internal field guide that clarifies a common APAC pre-sales topic (for example data residency, telephony capture, or evaluation metrics).
By day 60
Own two evaluations end to end with defined success criteria and timelines.
Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection-handling packs.
Take point on higher-signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.
Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.
By day 90
Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.
Close at least one complex technical win with a measurable impact on revenue.
Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.
Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.
Enjoy the mix of customer conversations and hands-on building.
Can move from whiteboard to working code and back without losing the thread.
Communicate clearly with executives and deeply with engineers.
Value speed with rigor and crisp documentation.
Like winning together across regions and functions.
5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.
Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.
Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.
Proven track record leading POCs for enterprise customers and earning the technical win.
Clear written and verbal communication across both technical and executive audiences.
Experience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.
Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.
Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.
Strong understanding of authentication, authorization, and data residency topics that appear in APAC enterprise reviews.
Fluency in an additional Asian language such as Japanese, Korean, Mandarin, or Hindi.
Remote across APAC with periodic regional meetups.
Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across APAC, EMEA, and the Americas.
Shared playbooks, defined escalation paths, and measurable SLAs.
Recruiter screen focused on experience, motivations, and logistics.
Hiring manager conversation focused on technical depth and customer impact.
Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.
Panel interviews with cross-functional partners.
Live demo and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.
If this sounds like you, we would love to meet you!
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nNote: this role is based out of Singapore and will service the APAC region.\n\n \n\nOpportunity\n\nDeepgram is expanding across APAC and operating a follow-the-sun model. We are hiring a Pre-Sales Solutions Engineer in Singapore to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long term across discovery, POC, production launch, and expansion. You will focus on pre-sales, and you will often step into post-sales style work when the stakes are high and continuity matters.\n\n \n\n\nABOUT APPLIED ENGINEERING AT DEEPGRAM\n\nApplied Engineering blends what many companies split into Solutions Engineering, Architecture, Consulting, and Senior Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.\n\n \n\n\nWHAT YOU WILL DO\n\n - Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.\n\n - Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.\n\n - Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs.\n\n - Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.\n\n - Run security and compliance threads common in APAC. Prepare crisp responses for Singapore PDPA, Japan APPI, Korea PIPA, Australia’s Privacy Act, and India’s DPDP Act.\n\n - Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.\n\n - Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.\n\n - Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.\n\n - Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.\n\n \n\n\nREGIONAL EXPECTATIONS\n\n - Based in Singapore with strong overlap to customer business hours across East Asia, Southeast Asia, and ANZ.\n\n - Excellent written and spoken English. Additional Asian languages are a strong plus.\n\n - Familiarity with procurement, InfoSec, and data privacy expectations across APAC.\n\n - Ability to travel within the region for key customer milestones. Estimated travel 10 to 20 percent.\n\n \n\n\nYOUR FIRST 90 DAYS\n\nRamp approach for this role Ramping mirrors the Solutions Architect plan, with explicit ticket work and earlier support for strategic Account Executives. In the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active evaluations.\n\nFirst 30 days\n\n - Ramp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.\n\n - Shadow strategic discovery and POC calls across APAC time zones.\n\n - Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.\n\n - Publish one internal field guide that clarifies a common APAC pre-sales topic (for example data residency, telephony capture, or evaluation metrics).\n\nBy day 60\n\n - Own two evaluations end to end with defined success criteria and timelines.\n\n - Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection-handling packs.\n\n - Take point on higher-signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.\n\n - Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.\n\nBy day 90\n\n - Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.\n\n - Close at least one complex technical win with a measurable impact on revenue.\n\n - Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.\n\n - Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.\n\n \n\n\nYOU WILL THRIVE HERE IF YOU\n\n - Enjoy the mix of customer conversations and hands-on building.\n\n - Can move from whiteboard to working code and back without losing the thread.\n\n - Communicate clearly with executives and deeply with engineers.\n\n - Value speed with rigor and crisp documentation.\n\n - Like winning together across regions and functions.\n\n\nMINIMUM QUALIFICATIONS\n\n - 5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.\n\n - Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.\n\n - Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.\n\n - Proven track record leading POCs for enterprise customers and earning the technical win.\n\n - Clear written and verbal communication across both technical and executive audiences.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.\n\n - Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.\n\n - Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.\n\n - Strong understanding of authentication, authorization, and data residency topics that appear in APAC enterprise reviews.\n\n - Fluency in an additional Asian language such as Japanese, Korean, Mandarin, or Hindi.\n\n \n\n\nHOW WE WORK\n\n - Remote across APAC with periodic regional meetups.\n\n - Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across APAC, EMEA, and the Americas.\n\n - Shared playbooks, defined escalation paths, and measurable SLAs.\n\n \n\n\nINTERVIEW PROCESS\n\n - Recruiter screen focused on experience, motivations, and logistics.\n\n - Hiring manager conversation focused on technical depth and customer impact.\n\n - Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.\n\n - Panel interviews with cross-functional partners.\n\n - Live demo and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.\n\nIf this sounds like you, we would love to meet you!\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"4f9648d7-e25c-440c-8ec6-566a405c7c23","title":"Staff Web Engineer, Marketing","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-13T17:02:02.990+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/4f9648d7-e25c-440c-8ec6-566a405c7c23","applyUrl":"https://jobs.ashbyhq.com/deepgram/4f9648d7-e25c-440c-8ec6-566a405c7c23/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Staff Web Engineer Marketing
Deepgram builds foundational voice AI and deepgram.com is where the world meets it. The site is our digital front door, showcasing our products, brand moments, and pricing information, and it drives the company's self-serve revenue.
We're hiring a Staff Web Engineer to own the site's code for the long haul. Deepgram.com is entering its next chapter. We are fully refreshing the experience top to bottom. You'll be the person who knows the site inside out. You'll own the repo, the architecture, the Sanity environments, and the QA bar — and act as the code-review gate for day-to-day page and content work. The team is small but scaling. You will be working on the Web team reporting into the Head of Brand & Awareness and closely collaborating with our Senior Web Manager, product, marketing, sales, and external development partners.
Most critically, as an AI company, you must be AI-native. Agents and AI tooling are your go-to in how you choose to build, review, and QA. We are aiming to build a machine-first, voice-first site experience. It’s an exciting time to join the web team.
Own the deepgram.com codebase end to end — the Next.js application (front and back end), the GitHub repo, branching and CI/CD, and code review
Optimize and maintain Sanity CMS architecture — schemas, the reusable module library, the staging and production environments and publishing workflow
Run the global design system, component library, Vercel platform and spearhead AI integrations. Experienced with global CSS systems.
Build and run the site's QA program — starting with a well-structured and scalable staging environment that keeps a marketing site launch-ready at all times
Lead internationalization and localization efforts — language-locale URL and routing architecture, hreflang, and the path from i18n plumbing to localized (l10n) content
Assist in technical SEO — site architecture, redirects, Core Web Vitals — with on-page SEO executed by content partners inside your review gate
Ensure LLM discoverability (AEO) — the site's structured data, metadata, and content architecture must serve answer engines as well as people
Technical infrastructure for experimentation — develop the mechanisms to support the site's experimentation program
Marketing Ops partnership — implementation of forms, gated content, and attribution instrumentation (GTM, GA4, HubSpot)
Cybersecurity posture — maintain security and run routine safety audits across dependencies and scripts
High-velocity shipping — ship complex site improvements and launch campaign pages in a product-driven atmosphere
AI-native workflow — use agents in your daily build process and create tooling for safe marketing publishing
Marketing web development background — ownership of marketing sites, not just product surfaces
Enterprise repository ownership: branching strategy, CI/CD, and a strong code-review culture
Headless CMS architecture — Next.js with Sanity strongly preferred
Modern React ecosystem for the web
Vercel as a production platform
AI-native development — ability to demonstrate concrete use of AI agents and tooling in your workflow
High level of ownership & accountability — a hand raiser who’s ready to join an ambitious team and company
Technical leadership — directing or reviewing the work of agency developers
Prior experience with internationalization (i18n/l10n): URL architecture, locale routing, and multi-region infrastructure
Familiarity with A/B testing on production marketing sites
Interest in voice AI and the future of voice-interactive web experiences
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nStaff Web Engineer Marketing\n\n\nABOUT THE ROLE\n\nDeepgram builds foundational voice AI and deepgram.com http://deepgram.com is where the world meets it. The site is our digital front door, showcasing our products, brand moments, and pricing information, and it drives the company's self-serve revenue.\n\nWe're hiring a Staff Web Engineer to own the site's code for the long haul. Deepgram.com http://Deepgram.com is entering its next chapter. We are fully refreshing the experience top to bottom. You'll be the person who knows the site inside out. You'll own the repo, the architecture, the Sanity environments, and the QA bar — and act as the code-review gate for day-to-day page and content work. The team is small but scaling. You will be working on the Web team reporting into the Head of Brand & Awareness and closely collaborating with our Senior Web Manager, product, marketing, sales, and external development partners.\n\nMost critically, as an AI company, you must be AI-native. Agents and AI tooling are your go-to in how you choose to build, review, and QA. We are aiming to build a machine-first, voice-first site experience. It’s an exciting time to join the web team.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the deepgram.com http://deepgram.com codebase end to end — the Next.js application (front and back end), the GitHub repo, branching and CI/CD, and code review\n\n - Optimize and maintain Sanity CMS architecture — schemas, the reusable module library, the staging and production environments and publishing workflow\n\n - Run the global design system, component library, Vercel platform and spearhead AI integrations. Experienced with global CSS systems.\n\n - Build and run the site's QA program — starting with a well-structured and scalable staging environment that keeps a marketing site launch-ready at all times\n\n - Lead internationalization and localization efforts — language-locale URL and routing architecture, hreflang, and the path from i18n plumbing to localized (l10n) content\n\n - Assist in technical SEO — site architecture, redirects, Core Web Vitals — with on-page SEO executed by content partners inside your review gate\n\n - Ensure LLM discoverability (AEO) — the site's structured data, metadata, and content architecture must serve answer engines as well as people\n\n - Technical infrastructure for experimentation — develop the mechanisms to support the site's experimentation program\n\n - Marketing Ops partnership — implementation of forms, gated content, and attribution instrumentation (GTM, GA4, HubSpot)\n\n - Cybersecurity posture — maintain security and run routine safety audits across dependencies and scripts\n\n - High-velocity shipping — ship complex site improvements and launch campaign pages in a product-driven atmosphere\n\n - AI-native workflow — use agents in your daily build process and create tooling for safe marketing publishing\n\n\n\n\nWE ARE LOOKING FOR CANDIDATES WITH:\n\n - Marketing web development background — ownership of marketing sites, not just product surfaces\n\n - Enterprise repository ownership: branching strategy, CI/CD, and a strong code-review culture\n\n - Headless CMS architecture — Next.js with Sanity strongly preferred\n\n - Modern React ecosystem for the web\n\n - Vercel as a production platform\n\n - AI-native development — ability to demonstrate concrete use of AI agents and tooling in your workflow\n\n - High level of ownership & accountability — a hand raiser who’s ready to join an ambitious team and company\n\n - Technical leadership — directing or reviewing the work of agency developers\n\n\n\n\nOUR IDEAL CANDIDATES ALSO HAVE:\n\n - Prior experience with internationalization (i18n/l10n): URL architecture, locale routing, and multi-region infrastructure\n\n - Familiarity with A/B testing on production marketing sites\n\n - Interest in voice AI and the future of voice-interactive web experiences\n\n\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$150K – $190K • Offers Equity • Offers Bonus • 10% Bonus","scrapeableCompensationSalarySummary":"$150K - $190K","compensationTiers":[{"id":"63bc6ecc-02a7-4c9f-967b-bef6a91cdbd9","tierSummary":"San Francisco, NYC, Seattle: $165k-$210k Base Salary Anywhere else: $150K – $190K • Offers Equity • Offers Bonus • 10% Bonus","title":null,"additionalInformation":"10% Bonus","components":[{"id":"7d3e5b87-db48-4cbf-9737-418248fa0b3d","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"6fe9c505-f1f2-4e21-a4f0-eac3b6ded630","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"30c98b4c-765a-47fe-9795-e969e0a2037d","summary":"San Francisco, NYC, Seattle: $165k-$210k Base Salary Anywhere else: $150K – $190K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":190000}]}],"summaryComponents":[{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":190000}]}},{"id":"6e3344f4-48c7-4127-871c-3f1dada45323","title":"Director of Research, Text-to-Speech","department":"Research","team":"Research","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"Ann Arbor, Michigan","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Ann Arbor"}}}],"publishedAt":"2026-08-21T23:50:59.714+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/6e3344f4-48c7-4127-871c-3f1dada45323","applyUrl":"https://jobs.ashbyhq.com/deepgram/6e3344f4-48c7-4127-871c-3f1dada45323/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
We're looking for a Director of Research to own our Text-to-Speech program end to end — the research strategy, the technical bets, and the models that ship. This is a hands-on leadership role: you set direction and stay in the details, shaping architectures, experiments, training strategy, and evaluation. You'll also build the team and operating model that let exceptional researchers move fast without lowering the bar.
The mandate is broad: advance the state of the art in speech generation, and turn those advances into models in production.
Own the TTS research and model roadmap — decide which technical directions can materially move speech-generation quality, including the expensive and non-obvious ones, and recognize when an approach should change or die.
Drive advances across neural audio modeling, prosody and expressiveness, controllability, multilingual speech, voice identity and consistency, data and training strategy, post-training, and inference performance — and make sure they land as measurable production gains.
Stay deeply technical: review research, challenge assumptions, design experiments, diagnose model failures, and take on the highest-leverage problems yourself.
Build evaluation and benchmarking that explains why models improve, not just whether they did — automated metrics alongside human perceptual assessment.
Lead a mix of individual contributors and tech lead managers. Hire and develop both, hold an exceptionally high technical bar, grow senior researchers into technical leaders, and set direction across sub-teams while pushing decisions down to the people closest to the work.
Partner with engineering and product leadership on ship-readiness, and represent Deepgram's TTS research internally and externally.
Want to own a frontier-model program end to end rather than optimize one slice of someone else's agenda.
Care about the breakthrough and the ship in equal measure.
Still love training runs, failed evals, and architecture arguments, even as most of your impact now comes through the people you lead.
Get energy from deciding which bets are worth making when the answer isn't obvious and the experiments are expensive.
Deep expertise in modern TTS, speech generation, or audio generative modeling, with a track record of personally training and improving large-scale neural models.
Command of the modern speech-generation stack and the open problems behind naturalness, expressiveness, controllability, robustness, voice consistency, and inference cost.
A history of setting research direction under genuine uncertainty: prioritizing experiments, allocating compute and researcher time, and killing approaches that aren't working.
Experience leading researchers and research engineers through other technical leaders — developing tech lead managers or equivalent, setting direction across sub-teams — while staying technically influential yourself.
AI as your default mode of work, not an occasional tool. You've rebuilt how you and your team operate around it, and you have a specific, earned view of what it still can't do in speech research.
The ability to make complex technical tradeoffs legible to product, engineering, and executive audiences.
TTS or generative-audio models deployed at meaningful production scale.
Built or substantially scaled a high-performing AI research organization.
Sophisticated evaluation systems for generative speech; expressive or multilingual generation, voice cloning and adaptation, or controllable generation.
Recognized external contributions — publications, open source, patents, invited talks — in speech synthesis, neural audio codecs, speech language models, or multimodal models.
Experience in fast-moving startup or research environments that routinely take models from idea to production.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nWe're looking for a Director of Research to own our Text-to-Speech program end to end — the research strategy, the technical bets, and the models that ship. This is a hands-on leadership role: you set direction and stay in the details, shaping architectures, experiments, training strategy, and evaluation. You'll also build the team and operating model that let exceptional researchers move fast without lowering the bar.\n\n\n\nThe mandate is broad: advance the state of the art in speech generation, and turn those advances into models in production.\n\n\n\nWHAT YOU'LL DO\n\n - Own the TTS research and model roadmap — decide which technical directions can materially move speech-generation quality, including the expensive and non-obvious ones, and recognize when an approach should change or die.\n\n - Drive advances across neural audio modeling, prosody and expressiveness, controllability, multilingual speech, voice identity and consistency, data and training strategy, post-training, and inference performance — and make sure they land as measurable production gains.\n\n - Stay deeply technical: review research, challenge assumptions, design experiments, diagnose model failures, and take on the highest-leverage problems yourself.\n\n - Build evaluation and benchmarking that explains why models improve, not just whether they did — automated metrics alongside human perceptual assessment.\n\n - Lead a mix of individual contributors and tech lead managers. Hire and develop both, hold an exceptionally high technical bar, grow senior researchers into technical leaders, and set direction across sub-teams while pushing decisions down to the people closest to the work.\n\n - Partner with engineering and product leadership on ship-readiness, and represent Deepgram's TTS research internally and externally.\n \n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Want to own a frontier-model program end to end rather than optimize one slice of someone else's agenda.\n\n - Care about the breakthrough and the ship in equal measure.\n\n - Still love training runs, failed evals, and architecture arguments, even as most of your impact now comes through the people you lead.\n\n - Get energy from deciding which bets are worth making when the answer isn't obvious and the experiments are expensive.\n \n\n\nYOU MUST HAVE\n\n - Deep expertise in modern TTS, speech generation, or audio generative modeling, with a track record of personally training and improving large-scale neural models.\n\n - Command of the modern speech-generation stack and the open problems behind naturalness, expressiveness, controllability, robustness, voice consistency, and inference cost.\n\n - A history of setting research direction under genuine uncertainty: prioritizing experiments, allocating compute and researcher time, and killing approaches that aren't working.\n\n - Experience leading researchers and research engineers through other technical leaders — developing tech lead managers or equivalent, setting direction across sub-teams — while staying technically influential yourself.\n\n - AI as your default mode of work, not an occasional tool. You've rebuilt how you and your team operate around it, and you have a specific, earned view of what it still can't do in speech research.\n\n - The ability to make complex technical tradeoffs legible to product, engineering, and executive audiences.\n \n\n\nIT'D BE GREAT IF YOU HAD\n\n - TTS or generative-audio models deployed at meaningful production scale.\n\n - Built or substantially scaled a high-performing AI research organization.\n\n - Sophisticated evaluation systems for generative speech; expressive or multilingual generation, voice cloning and adaptation, or controllable generation.\n\n - Recognized external contributions — publications, open source, patents, invited talks — in speech synthesis, neural audio codecs, speech language models, or multimodal models.\n\n - Experience in fast-moving startup or research environments that routinely take models from idea to production.\n\n\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$234K – $361K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$234K - $361K","compensationTiers":[{"id":"df0c6669-98b6-443e-9e49-f24c5671230f","tierSummary":"Estimated Base Salary $288K – $361K • Offers Equity • Offers Bonus","title":"San Francisco, NYC, Seattle","additionalInformation":null,"components":[{"id":"39ca6ac2-00d0-4edb-9dc9-4df7e1690118","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"b547b42d-1fb2-4ea4-b02f-3bb73c03148a","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"381309eb-d638-4923-8255-0a228b5f2d6c","summary":"Estimated Base Salary $288K – $361K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":288000,"maxValue":361000}]},{"id":"10811586-a3ea-453b-a2a5-2fff487a4ee6","tierSummary":"Estimated Base Salary $234K – $282K • Offers Equity • Offers Bonus","title":"Everywhere else in the U.S.","additionalInformation":null,"components":[{"id":"b646a048-86e7-4436-8d4c-1ce347efdba8","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"3c7fc88c-69fb-4805-a8dc-3246c812c975","summary":"Estimated Base Salary $234K – $282K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":234000,"maxValue":282000},{"id":"26f64c82-b8d5-4dbc-8cfd-522babdc41de","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"EquityPercentage","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"minValue":234000,"maxValue":361000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"b856d0c2-df8e-492a-9044-62b0fd3c30b6","title":"Customer Success Engineer (Scaled)","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-21T19:59:40.934+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/b856d0c2-df8e-492a-9044-62b0fd3c30b6","applyUrl":"https://jobs.ashbyhq.com/deepgram/b856d0c2-df8e-492a-9044-62b0fd3c30b6/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
The Scaled Team is how Deepgram delivers world-class customer success to our fastest-growing segment — at scale. Instead of one CSE per account, you'll drive adoption, retention, and expansion across a large, pooled portfolio through a digital-first, one-to-many motion: automated customer journeys, programmatic outreach, self-serve enablement, and well-timed human touchpoints at the moments that matter most.
This is a role for a deeply technical systems builder. You'll be as comfortable troubleshooting an API integration as designing the onboarding sequence, webinar, or automated workflow that helps hundreds of customers hit value faster. Your leverage doesn't come from how many meetings you take — it comes from the repeatable systems you build that make every customer feel like they have a dedicated engineer in their corner.
You're not a traditional CSM. You're a Customer Success Engineer who works at the intersection of APIs, customer outcomes, and scale — credible running demos, guiding integration and architecture decisions, and helping customers get from prototype to production. What sets you apart is the instinct to turn a one-off fix into something scalable: a playbook, an automation, a self-serve resource that solves the same problem for every customer who comes after. You've shipped something — an internal tool, an agent, a script, a pipeline, a customer-facing program — that permanently eliminated a class of problems for you, your team, or your customers.
You're energized by serving a high volume of customers without dropping the quality bar. You ramp quickly on unfamiliar accounts, prioritize ruthlessly through a business-impact lens, and are comfortable working a shared, pooled book rather than a fixed set of named accounts. You have high EQ and a high learning index — you read a customer's situation fast and absorb technical and business complexity faster. You write exceptionally well, because your writing has to scale across hundreds of customers at once. And you question the status quo: the fact that we do something a certain way isn't evidence it's the best way.
AI is how you work, not a tool you reach for occasionally. You've rebuilt a meaningful part of your workflow around it, and going back to the old way would feel like working with one hand tied behind your back. You'd refuse to.
Own adoption, retention, and expansion across a large, pooled portfolio of Scaled-segment customers — through a one-to-many motion, not dedicated 1:1 coverage.
Design and execute scalable customer journeys — digital onboarding sequences, automated lifecycle touchpoints, in-app guidance, self-serve resources — that drive fast time-to-first-value and consistent activation.
Show up in person at the moments that matter: activation, technical blockers, expansion signals, renewal, and risk.
Provide hands-on technical guidance — run and record demos, guide API integrations and architecture decisions, troubleshoot L1/L2 issues — for developer and technical audiences, backed by deep, current knowledge of Deepgram's APIs and how customers build on them.
Build and maintain reusable enablement assets (demo scripts, integration guides, sample code, evaluation kits, playbooks, micro-videos) that customers and GTM teams can run without live support.
Run one-to-many programs — webinars, office hours, education campaigns — that drive product adoption and surface expansion across the segment.
Monitor account health, usage, and churn-risk signals across the portfolio and trigger proactive, prioritized outreach off the data.
Identify and scope expansion opportunities (cross-sell, upsell, multi-product) at scale, partnering with Sales on higher-value plays.
Serve as the voice of the customer internally, turning digital interactions and usage data into input on product roadmap, GTM strategy, and the internal tools we build.
Track, analyze, and report portfolio-level KPIs: activation, adoption, usage, health, retention, expansion.
Build the systems that make scaled success compound. If you catch yourself doing something manually more than twice — research, account summaries, follow-ups, content, technical investigation — your next move is to build the thing that removes it. Your output is measured not just by the customers you serve, but by the leverage you create for the whole segment.
3–5+ years in a technical, customer-facing role — Customer Success Engineering, Sales Engineering, Solutions Engineering, Implementation, Technical Account Management, or Support Engineering — at an API-driven, developer-first, or AI company.
Fluency in APIs, developer workflows, and integration patterns, enough to run demos and troubleshoot L1/L2 issues. You don't need to be a software engineer, but you must be genuinely credible in technical conversations with developers.
Experience serving a high volume of customers or building scaled/tech-touch programs (digital onboarding, one-to-many campaigns, webinars, self-serve enablement, automated journeys).
Systems thinking and process orientation — you've built repeatable playbooks, templates, or automations that worked across many customers.
A data-driven mindset: comfortable using product usage and customer health data to prioritize, measure, and refine your work.
Excellent written and verbal communication, with the ability to create content that educates and drives action across a broad audience.
In your application: tell us about something you built — a tool, agent, script, workflow, or customer program — that permanently eliminated recurring work. What it replaced, and what it's still doing today.
A strong sense of ownership and comfort working both collaboratively and independently in a remote environment.
Experience in a scaled, digital, or tech-touch Customer Success motion, and/or with consumption-based business models.
Working fluency with automation, scripting, or agent-building (Python, TypeScript, workflow tools, agent frameworks) — enough to ship working systems.
Experience with Customer Success, customer education, or marketing-automation platforms (Gainsight, Vitally, ChurnZero, or similar) and product analytics tools.
Experience in AI, ML, voice AI, cloud infrastructure, or developer-first technologies.
A background in Customer Education, Scaled/Digital Success, or Customer Marketing alongside technical customer-facing work.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nThe Scaled Team is how Deepgram delivers world-class customer success to our fastest-growing segment — at scale. Instead of one CSE per account, you'll drive adoption, retention, and expansion across a large, pooled portfolio through a digital-first, one-to-many motion: automated customer journeys, programmatic outreach, self-serve enablement, and well-timed human touchpoints at the moments that matter most.\n\n\n\nThis is a role for a deeply technical systems builder. You'll be as comfortable troubleshooting an API integration as designing the onboarding sequence, webinar, or automated workflow that helps hundreds of customers hit value faster. Your leverage doesn't come from how many meetings you take — it comes from the repeatable systems you build that make every customer feel like they have a dedicated engineer in their corner.\n\n\nWHO YOU ARE\n\nYou're not a traditional CSM. You're a Customer Success Engineer who works at the intersection of APIs, customer outcomes, and scale — credible running demos, guiding integration and architecture decisions, and helping customers get from prototype to production. What sets you apart is the instinct to turn a one-off fix into something scalable: a playbook, an automation, a self-serve resource that solves the same problem for every customer who comes after. You've shipped something — an internal tool, an agent, a script, a pipeline, a customer-facing program — that permanently eliminated a class of problems for you, your team, or your customers.\n\n\n\nYou're energized by serving a high volume of customers without dropping the quality bar. You ramp quickly on unfamiliar accounts, prioritize ruthlessly through a business-impact lens, and are comfortable working a shared, pooled book rather than a fixed set of named accounts. You have high EQ and a high learning index — you read a customer's situation fast and absorb technical and business complexity faster. You write exceptionally well, because your writing has to scale across hundreds of customers at once. And you question the status quo: the fact that we do something a certain way isn't evidence it's the best way.\n\n\n\nAI is how you work, not a tool you reach for occasionally. You've rebuilt a meaningful part of your workflow around it, and going back to the old way would feel like working with one hand tied behind your back. You'd refuse to.\n\n\nWHAT YOU'LL DO\n\n - Own adoption, retention, and expansion across a large, pooled portfolio of Scaled-segment customers — through a one-to-many motion, not dedicated 1:1 coverage.\n\n - Design and execute scalable customer journeys — digital onboarding sequences, automated lifecycle touchpoints, in-app guidance, self-serve resources — that drive fast time-to-first-value and consistent activation.\n\n - Show up in person at the moments that matter: activation, technical blockers, expansion signals, renewal, and risk.\n\n - Provide hands-on technical guidance — run and record demos, guide API integrations and architecture decisions, troubleshoot L1/L2 issues — for developer and technical audiences, backed by deep, current knowledge of Deepgram's APIs and how customers build on them.\n\n - Build and maintain reusable enablement assets (demo scripts, integration guides, sample code, evaluation kits, playbooks, micro-videos) that customers and GTM teams can run without live support.\n\n - Run one-to-many programs — webinars, office hours, education campaigns — that drive product adoption and surface expansion across the segment.\n\n - Monitor account health, usage, and churn-risk signals across the portfolio and trigger proactive, prioritized outreach off the data.\n\n - Identify and scope expansion opportunities (cross-sell, upsell, multi-product) at scale, partnering with Sales on higher-value plays.\n\n - Serve as the voice of the customer internally, turning digital interactions and usage data into input on product roadmap, GTM strategy, and the internal tools we build.\n\n - Track, analyze, and report portfolio-level KPIs: activation, adoption, usage, health, retention, expansion.\n\n - Build the systems that make scaled success compound. If you catch yourself doing something manually more than twice — research, account summaries, follow-ups, content, technical investigation — your next move is to build the thing that removes it. Your output is measured not just by the customers you serve, but by the leverage you create for the whole segment.\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 3–5+ years in a technical, customer-facing role — Customer Success Engineering, Sales Engineering, Solutions Engineering, Implementation, Technical Account Management, or Support Engineering — at an API-driven, developer-first, or AI company.\n\n - Fluency in APIs, developer workflows, and integration patterns, enough to run demos and troubleshoot L1/L2 issues. You don't need to be a software engineer, but you must be genuinely credible in technical conversations with developers.\n\n - Experience serving a high volume of customers or building scaled/tech-touch programs (digital onboarding, one-to-many campaigns, webinars, self-serve enablement, automated journeys).\n\n - Systems thinking and process orientation — you've built repeatable playbooks, templates, or automations that worked across many customers.\n\n - A data-driven mindset: comfortable using product usage and customer health data to prioritize, measure, and refine your work.\n\n - Excellent written and verbal communication, with the ability to create content that educates and drives action across a broad audience.\n\n - In your application: tell us about something you built — a tool, agent, script, workflow, or customer program — that permanently eliminated recurring work. What it replaced, and what it's still doing today.\n\n - A strong sense of ownership and comfort working both collaboratively and independently in a remote environment.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience in a scaled, digital, or tech-touch Customer Success motion, and/or with consumption-based business models.\n\n - Working fluency with automation, scripting, or agent-building (Python, TypeScript, workflow tools, agent frameworks) — enough to ship working systems.\n\n - Experience with Customer Success, customer education, or marketing-automation platforms (Gainsight, Vitally, ChurnZero, or similar) and product analytics tools.\n\n - Experience in AI, ML, voice AI, cloud infrastructure, or developer-first technologies.\n\n - A background in Customer Education, Scaled/Digital Success, or Customer Marketing alongside technical customer-facing work.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$147K – $176.5K • Offers Equity • Offers Bonus • 10% Variable pay","scrapeableCompensationSalarySummary":"$147K - $176.5K","compensationTiers":[{"id":"0a7aca09-b0d5-436b-b98b-f718369cf828","tierSummary":"Everywhere else: $147K – $176.5K • Offers Equity • Offers Bonus • 10% Variable pay","title":"NYC, Seattle, San Francisco: OTE: 190,500-228,500","additionalInformation":"10% Variable pay","components":[{"id":"25c620cf-9121-484d-9ed4-3e4867e63b97","summary":"Everywhere else: $147K – $176.5K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":147000,"maxValue":176500},{"id":"bfcfc686-8cbc-49b6-b0fd-b22008b43b47","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"92e2530d-8908-47f6-97c0-8b7a7cb9b420","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":147000,"maxValue":176500},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"4bfadd29-fa58-4e06-bbf0-7b5dbc41a621","title":"Forward-Deployed Engineer (FDE), Strategic Accounts","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"New York City, NY","address":{"postalAddress":{"addressRegion":"NY","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-08-22T01:04:32.392+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/4bfadd29-fa58-4e06-bbf0-7b5dbc41a621","applyUrl":"https://jobs.ashbyhq.com/deepgram/4bfadd29-fa58-4e06-bbf0-7b5dbc41a621/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Most engineering roles ask you to build the platform. This one asks you to build everything between the platform and a customer's success: the solutions, integrations, and tooling that run in production for some of the largest enterprises in the world.
Deepgram is seeking Forward-Deployed Engineers for our strategic accounts. You'll embed with one strategic customer at a time, working directly with their technical and business teams, alongside Deepgram's core research teams. Today's engagements center on leading restaurant enterprises and restaurant technology partners (we already partner with several of the world's leading restaurant brands), and the examples in this posting come from that work.
As a Forward-Deployed Engineer, you'll take Deepgram's voice AI platform the last mile. That means production-scale integrations with the systems that your customer actually runs on (today, that's point of sale, loyalty, payment gateways, and customer data platforms), voice agents that take live orders from customers every day, and everything in between: the tooling, prompt engineering, and evaluation work that bridges what Deepgram offers today and what makes your customer successful tomorrow.
Forward-deployed means you do this work with your customer, not just for them. You'll be on site regularly, embedded with their technical team, and close enough to the business to see problems before they become escalations. You'll also have a senior Forward-Deployed Engineer alongside you, reviewing your work before it ships and bringing you into customer meetings. And the platform is not a fixed product that you implement. When your customer needs a capability that the platform does not offer yet, you'll be the one who proves what it should do next, and what you build and learn in the field becomes part of Deepgram's offering for every customer after yours.
Forward-Deployed Engineering is how Deepgram embeds with its most strategic accounts. You'll fully deploy into a dedicated account pod (a small, cross-functional team built around one strategic customer) for a defined stretch, working inside of that account's day to day with a high degree of autonomy. Full deployment means exactly that: while you're deployed, your pod's account is your only customer assignment, with no time split across other accounts or teams. Your work directly shapes how some of the world's largest brands put voice AI in front of their customers.
Forward-Deployed Engineers are part of our broader Applied Engineering team, which serves as the technical interface between Deepgram and our customers across their entire journey (it combines what other companies split into Forward-Deployed Engineering, Sales Engineering, Solutions Architecture, Implementation, and Technical Support). Applied Engineering is your home team and your growth path. You'll be hired into the Applied Engineer position, which has a single growth ladder from Associate through Principal, and you'll grow proficient across multiple roles over time. The pod is where you're deployed; Applied Engineering is where you grow.
Build and ship whatever the solution needs, whether that's an end-to-end service, an integration, internal tooling, or agent and prompt engineering
Design, develop, and maintain production-scale integrations with the third-party systems that your customer runs on (in today's pods: point of sale, loyalty, payment gateways, customer data platforms)
Spend regular time on site with your customer, working directly with their technical and business teams
Monitor, debug, and optimize what you ship in production, including some of the hardest audio environments in voice AI (noisy, multi-mic, drive-thru)
Work with our research and product teams to push the platform where your customer needs it to go, and feed what you learn in the field back into the product
Test changes against live production data and measure whether they move accuracy, latency, and throughput
Embedded customer delivery (60-80%) — Deployments, integrations, and technical problem-solving with your account, plus turning what the field teaches you into reusable solutions, automation, and documentation. Where you sit in that range depends on where your engagement is in its cycle.
Scoping and expansion support (10-25%) — Joining detailed solution scoping, shaping statements of work so that what gets promised can be built, and surfacing the expansion opportunities that you spot from inside of the account. Discovery and demos belong to a pre-sales Applied Engineer in your pod; you'll take parts of that work when the account needs it and hand it back when delivery peaks.
Internal collaboration (~15%) — Product feedback, knowledge sharing, and contributing to Applied Engineering strategy.
The delivery and scoping buckets trade against each other: at the peak of an engagement, delivery takes the scoping share.
You'll have regular, recurring time with your customer, and you'll be on site at least once or twice a month. On some accounts, and at the peaks of an engagement (a launch, a critical integration, a high-stakes pilot), on-site time can rise to as much as 80%. Between those stretches, most of your time goes to making the solution succeed: building, integrating, debugging, and shipping.
Additionally, this role will maintain an in-office presence in either our San Francisco or New York City office.
First 30 Days — Complete the accelerated Forward-Deployed onboarding in your first two weeks, covering Deepgram's technology, products, competitive landscape, and core APIs. The standard Applied Engineer ramp runs four to six weeks. Yours is faster because your pod is waiting. Then spend the back half of the month in motion:
Shadow your pod's active engagement
Make your first customer site visit alongside a senior Forward-Deployed Engineer
Take ownership of your first workstream (an integration, a tool, or a production issue), with your work reviewed before it ships
60 Days — Own a meaningful slice of your customer's solution:
Join the on-site rhythm and build relationships with your customer's technical team
Ship work that runs in production
90 Days — Operate with independence:
Run your own on-site visits and own your slice end to end
Bring what the field teaches you back to the team as product feedback and reusable building blocks
Join your first solution-scoping conversations with the pod
See yourself as an engineer first who happens to be great with customers, not the other way around
Thrive in high-ambiguity environments where moving fast and making sound decisions under pressure are part of the job
Enjoy embedding deeply with customers, building trust, and becoming their go-to technical partner
Find satisfaction in shipping production systems and watching them run in the physical world (a drive-thru at rush hour is an honest test environment)
Want to grow quickly, with high-stakes accounts, a steep learning curve, and a senior engineer reviewing your work
The software bar comes first. It's important to us that you have:
A Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or a record of building that speaks for itself
Hands-on experience developing and deploying backend systems that run in production, whether through internships, co-ops, your first years in industry, or projects that shipped to live users
Experience with cloud-based infrastructure and API design
The instinct to proactively recognize problems and to care about the impact of your work
And because you'll be in the room with customers, we look for the raw materials of customer-facing craft:
Relationship building — You genuinely enjoy getting to know the people that you work with, and you invest in those relationships beyond what the immediate task requires.
Reading the room — You notice who in a meeting is engaged, who is skeptical, and what is going unsaid.
Acting on what you notice — When you spot an opening, whether a stakeholder with a problem that you can solve or a question behind the question, you move on it.
Coachability — Nobody arrives with all of this polished. We'll teach the craft. We look for the appetite to learn it and openness to feedback along the way.
Experience working with audio or voice interfaces
Experience building and maintaining a system that integrates with many third-party APIs, particularly point-of-sale systems
Experience taking a system from zero to one
Depth in one or more modern languages (our field work spans Python, JavaScript and TypeScript, Rust, Go, Kotlin, and whatever your customer runs), and the flexibility to pick up the next one
Experience with containerization tools, such as Docker and Kubernetes
Any experience being the technical person in front of a non-technical audience (teaching, tutoring, demos, hackathons, support)
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nMost engineering roles ask you to build the platform. This one asks you to build everything between the platform and a customer's success: the solutions, integrations, and tooling that run in production for some of the largest enterprises in the world.\n\nDeepgram is seeking Forward-Deployed Engineers for our strategic accounts. You'll embed with one strategic customer at a time, working directly with their technical and business teams, alongside Deepgram's core research teams. Today's engagements center on leading restaurant enterprises and restaurant technology partners (we already partner with several of the world's leading restaurant brands), and the examples in this posting come from that work.\n\nAs a Forward-Deployed Engineer, you'll take Deepgram's voice AI platform the last mile. That means production-scale integrations with the systems that your customer actually runs on (today, that's point of sale, loyalty, payment gateways, and customer data platforms), voice agents that take live orders from customers every day, and everything in between: the tooling, prompt engineering, and evaluation work that bridges what Deepgram offers today and what makes your customer successful tomorrow.\n\nForward-deployed means you do this work with your customer, not just for them. You'll be on site regularly, embedded with their technical team, and close enough to the business to see problems before they become escalations. You'll also have a senior Forward-Deployed Engineer alongside you, reviewing your work before it ships and bringing you into customer meetings. And the platform is not a fixed product that you implement. When your customer needs a capability that the platform does not offer yet, you'll be the one who proves what it should do next, and what you build and learn in the field becomes part of Deepgram's offering for every customer after yours.\n\n\n\n\nABOUT FORWARD-DEPLOYED ENGINEERING AT DEEPGRAM\n\nForward-Deployed Engineering is how Deepgram embeds with its most strategic accounts. You'll fully deploy into a dedicated account pod (a small, cross-functional team built around one strategic customer) for a defined stretch, working inside of that account's day to day with a high degree of autonomy. Full deployment means exactly that: while you're deployed, your pod's account is your only customer assignment, with no time split across other accounts or teams. Your work directly shapes how some of the world's largest brands put voice AI in front of their customers.\n\nForward-Deployed Engineers are part of our broader Applied Engineering team, which serves as the technical interface between Deepgram and our customers across their entire journey (it combines what other companies split into Forward-Deployed Engineering, Sales Engineering, Solutions Architecture, Implementation, and Technical Support). Applied Engineering is your home team and your growth path. You'll be hired into the Applied Engineer position, which has a single growth ladder from Associate through Principal, and you'll grow proficient across multiple roles over time. The pod is where you're deployed; Applied Engineering is where you grow.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build and ship whatever the solution needs, whether that's an end-to-end service, an integration, internal tooling, or agent and prompt engineering\n\n - Design, develop, and maintain production-scale integrations with the third-party systems that your customer runs on (in today's pods: point of sale, loyalty, payment gateways, customer data platforms)\n\n - Spend regular time on site with your customer, working directly with their technical and business teams\n\n - Monitor, debug, and optimize what you ship in production, including some of the hardest audio environments in voice AI (noisy, multi-mic, drive-thru)\n\n - Work with our research and product teams to push the platform where your customer needs it to go, and feed what you learn in the field back into the product\n\n - Test changes against live production data and measure whether they move accuracy, latency, and throughput\n\n\nTIME ALLOCATION\n\n - Embedded customer delivery (60-80%) — Deployments, integrations, and technical problem-solving with your account, plus turning what the field teaches you into reusable solutions, automation, and documentation. Where you sit in that range depends on where your engagement is in its cycle.\n\n - Scoping and expansion support (10-25%) — Joining detailed solution scoping, shaping statements of work so that what gets promised can be built, and surfacing the expansion opportunities that you spot from inside of the account. Discovery and demos belong to a pre-sales Applied Engineer in your pod; you'll take parts of that work when the account needs it and hand it back when delivery peaks.\n\n - Internal collaboration (~15%) — Product feedback, knowledge sharing, and contributing to Applied Engineering strategy.\n\nThe delivery and scoping buckets trade against each other: at the peak of an engagement, delivery takes the scoping share.\n\n\n\n\nTHE ON-SITE EXPECTATION\n\nYou'll have regular, recurring time with your customer, and you'll be on site at least once or twice a month. On some accounts, and at the peaks of an engagement (a launch, a critical integration, a high-stakes pilot), on-site time can rise to as much as 80%. Between those stretches, most of your time goes to making the solution succeed: building, integrating, debugging, and shipping.\n\nAdditionally, this role will maintain an in-office presence in either our San Francisco or New York City office.\n\n\n\n\nYOUR FIRST 90 DAYS\n\n - First 30 Days — Complete the accelerated Forward-Deployed onboarding in your first two weeks, covering Deepgram's technology, products, competitive landscape, and core APIs. The standard Applied Engineer ramp runs four to six weeks. Yours is faster because your pod is waiting. Then spend the back half of the month in motion:\n \n - Shadow your pod's active engagement\n \n - Make your first customer site visit alongside a senior Forward-Deployed Engineer\n \n - Take ownership of your first workstream (an integration, a tool, or a production issue), with your work reviewed before it ships\n\n - 60 Days — Own a meaningful slice of your customer's solution:\n \n - Join the on-site rhythm and build relationships with your customer's technical team\n \n - Ship work that runs in production\n\n - 90 Days — Operate with independence:\n \n - Run your own on-site visits and own your slice end to end\n \n - Bring what the field teaches you back to the team as product feedback and reusable building blocks\n \n - Join your first solution-scoping conversations with the pod\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - See yourself as an engineer first who happens to be great with customers, not the other way around\n\n - Thrive in high-ambiguity environments where moving fast and making sound decisions under pressure are part of the job\n\n - Enjoy embedding deeply with customers, building trust, and becoming their go-to technical partner\n\n - Find satisfaction in shipping production systems and watching them run in the physical world (a drive-thru at rush hour is an honest test environment)\n\n - Want to grow quickly, with high-stakes accounts, a steep learning curve, and a senior engineer reviewing your work\n\n\nWHAT WE LOOK FOR\n\nThe software bar comes first. It's important to us that you have:\n\n - A Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or a record of building that speaks for itself\n\n - Hands-on experience developing and deploying backend systems that run in production, whether through internships, co-ops, your first years in industry, or projects that shipped to live users\n\n - Experience with cloud-based infrastructure and API design\n\n - The instinct to proactively recognize problems and to care about the impact of your work\n\nAnd because you'll be in the room with customers, we look for the raw materials of customer-facing craft:\n\n - Relationship building — You genuinely enjoy getting to know the people that you work with, and you invest in those relationships beyond what the immediate task requires.\n\n - Reading the room — You notice who in a meeting is engaged, who is skeptical, and what is going unsaid.\n\n - Acting on what you notice — When you spot an opening, whether a stakeholder with a problem that you can solve or a question behind the question, you move on it.\n\n - Coachability — Nobody arrives with all of this polished. We'll teach the craft. We look for the appetite to learn it and openness to feedback along the way.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience working with audio or voice interfaces\n\n - Experience building and maintaining a system that integrates with many third-party APIs, particularly point-of-sale systems\n\n - Experience taking a system from zero to one\n\n - Depth in one or more modern languages (our field work spans Python, JavaScript and TypeScript, Rust, Go, Kotlin, and whatever your customer runs), and the flexibility to pick up the next one\n\n - Experience with containerization tools, such as Docker and Kubernetes\n\n - Any experience being the technical person in front of a non-technical audience (teaching, tutoring, demos, hackathons, support)\n\n\n\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$155K – $193K • Offers Equity • Offers Bonus • 10% Annual Bonus","scrapeableCompensationSalarySummary":"$155K - $193K","compensationTiers":[{"id":"9b3b3c9e-3c1e-4488-9114-5701a8c051e4","tierSummary":"$155K – $193K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":null,"additionalInformation":"10% Annual Bonus","components":[{"id":"172a64ca-91ae-44d9-a33f-eb81857b4879","summary":"$155K – $193K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":193000},{"id":"efa64837-3966-44bc-a35a-6f4b1f528164","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"58e0f6d4-f311-4368-b8ac-89cf7dc4570f","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":155000,"maxValue":193000},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"1645ceac-3ef9-45ba-8386-49c7c43b14f0","title":"Senior Forward Deployed Engineer (FDE), Strategic Accounts","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York City, NY","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-08-31T17:35:10.759+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"NY","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/1645ceac-3ef9-45ba-8386-49c7c43b14f0","applyUrl":"https://jobs.ashbyhq.com/deepgram/1645ceac-3ef9-45ba-8386-49c7c43b14f0/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Enterprise restaurant deployments are where voice AI meets the messiness of the real world: legacy systems, high transaction volumes, operational edge cases, and technology that has to work reliably during the busiest moments of the day.
In this role, you will embed with leading restaurant brands and technology partners to make those deployments successful. You will learn how their systems work, design the integration path, write code, troubleshoot production issues, and adapt Deepgram’s platform to the constraints of live restaurant operations. You will work directly with customer engineering teams and business leaders, owning the technical path from early discovery through go-live and optimization.
Your impact will extend beyond any single customer. You will identify patterns across deployments, translate field learnings into product improvements, and build the tools, reference architectures, and playbooks that help the team deploy faster and more reliably across large restaurant fleets.
This role is for an engineer who wants direct ownership of customer outcomes and enjoys turning complex, ambiguous deployments into repeatable systems. The goal is simple: make every Deepgram for Restaurants deployment feel effortless to the customer and deliver measurable value from day one.
This role is based in New York City or San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs.
This role also includes occasional travel to meet with customers, support sales engagements, and participate in key onsite interactions.
Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers.
Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization.
Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between.
Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary.
Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers.
Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building.
You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it.
You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product.
You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration.
Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output.
Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof.
High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones.
Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable.
Experience with voice AI, speech-to-text, NLP, or conversational AI systems.
Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero.
Previous experience embedded within a large enterprise customer’s product deployment.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOPPORTUNITY:\n\nEnterprise restaurant deployments are where voice AI meets the messiness of the real world: legacy systems, high transaction volumes, operational edge cases, and technology that has to work reliably during the busiest moments of the day.\n\nIn this role, you will embed with leading restaurant brands and technology partners to make those deployments successful. You will learn how their systems work, design the integration path, write code, troubleshoot production issues, and adapt Deepgram’s platform to the constraints of live restaurant operations. You will work directly with customer engineering teams and business leaders, owning the technical path from early discovery through go-live and optimization.\n\nYour impact will extend beyond any single customer. You will identify patterns across deployments, translate field learnings into product improvements, and build the tools, reference architectures, and playbooks that help the team deploy faster and more reliably across large restaurant fleets.\n\nThis role is for an engineer who wants direct ownership of customer outcomes and enjoys turning complex, ambiguous deployments into repeatable systems. The goal is simple: make every Deepgram for Restaurants deployment feel effortless to the customer and deliver measurable value from day one.\n\n\n\n\nLOCATION:\n\nThis role is based in New York City or San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs.\n\nThis role also includes occasional travel to meet with customers, support sales engagements, and participate in key onsite interactions.\n\n\n\n\nWHAT YOU’LL OWN:\n\n - Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers.\n\n - Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization.\n\n - Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between.\n\n - Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary.\n\n - Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers.\n\n - Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building.\n\n\n\n\nYOU’LL LOVE THIS ROLE IF YOU:\n\n - You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it.\n\n - You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product.\n\n - You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration.\n\n\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE:\n\n - Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output.\n\n - Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof.\n\n - High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones.\n\n - Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable.\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD:\n\n - Experience with voice AI, speech-to-text, NLP, or conversational AI systems.\n\n - Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero.\n\n - Previous experience embedded within a large enterprise customer’s product deployment.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$197K – $246K • Offers Equity • Offers Bonus • 10% Annual Bonus","scrapeableCompensationSalarySummary":"$197K - $246K","compensationTiers":[{"id":"60db3af9-9d46-42ad-a762-60a33df0c4e2","tierSummary":"$197K – $246K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":null,"additionalInformation":"10% Annual Bonus","components":[{"id":"db8ae13e-72b6-4ed1-9a44-53a3fcbe386c","summary":"$197K – $246K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":197000,"maxValue":246000},{"id":"544fe8d6-91dc-4d8a-9376-8baefe4ee5cc","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"0ad8b7d4-6092-4f91-9195-f5ce216f5edd","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":197000,"maxValue":246000},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"85fddd5f-8a08-48d4-975a-de845e1b81ac","title":"Account Executive (Melbourne)","department":"Sales - AE","team":"Sales - AE","employmentType":"FullTime","location":"Sydney, Australia","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-08-24T07:37:41.548+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"New South Wales (NSW)","addressCountry":"Australia","addressLocality":"Sydney"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/85fddd5f-8a08-48d4-975a-de845e1b81ac","applyUrl":"https://jobs.ashbyhq.com/deepgram/85fddd5f-8a08-48d4-975a-de845e1b81ac/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
WHO YOU ARE
You are a full-cycle Account Executive who builds your own pipeline and closes it. You are comfortable selling a product with real technical depth, holding your own with engineers, architects, and technical decision-makers, and translating what the product does into clear business value. You know how to land a new logo and grow it, and you are as comfortable working a partner co-sell as you are running a direct deal.
You are at ease operating across the varied markets and cultures of APAC, and you do your best work in a build environment where the playbook is still forming, priorities move quickly, and your input shapes how the team sells. You are organized, self-directed, and relentless about following up.
WHAT YOU'LL DO
Own a territory end to end: generate pipeline, run full-cycle deals, and carry a new-business and expansion number.
Build your own pipeline through self-prospecting, and work with SDRs and Marketing to grow pipeline and build Deepgram's presence in the market, including representing Deepgram at key developer and industry events.
Run both motions, with an emphasis on co-sell: work closely with the technology partners headquartered in Singapore, and sell directly into accounts across the region.
Sell across the full spectrum of the market, from fast-moving tech companies to large enterprises, focused on APAC and the broader ANZ region.
Land new logos and expand them over time, growing accounts through adoption and new use cases.
Work closely with Field Engineers to guide technical evaluations and move customers from evaluation into production.
Develop a strong command of customer needs, the competitive landscape, and Deepgram's products, and articulate the value clearly to technical audiences.
Maintain accurate pipeline hygiene and forecasting.
Bring the voice of the customer back to Deepgram, feeding product feedback and market insight to the team.
YOU'LL LOVE THIS ROLE IF YOU
Are energized by building early and want to help shape how Deepgram sells across APAC/ANZ.
Take pride in building your own pipeline and owning a deal from first touch to close.
Are at home selling to technical buyers and can hold your own on the substance of the product.
Enjoy running a partner co-sell motion alongside direct selling.
Think in terms of landing a logo and growing it, not just closing once.
Are passionate about Deepgram's mission and what voice AI makes possible.
IT'S IMPORTANT TO US THAT YOU HAVE
A track record as a full-cycle Account Executive: building pipeline from scratch, running technical deals, and consistently overachieving against target. We expect this typically means 5 or more years of quota-carrying experience, but we hire at varying levels of seniority and encourage strong candidates to apply.
Experience selling products with real technical depth, such as APIs, developer tools, or platforms evaluated on their merits by engineering buyers.
Experience selling across APAC/ANZ markets, to both technical and business buyers.
Comfort running both a direct motion and a partner or co-sell motion, and strong instincts for working through partners.
A land-and-expand mindset, with a history of growing accounts after the initial win.
Strong communication and follow-up, and the discipline to run a consistent, repeatable sales process.
A history of stable tenure and clear progression across your roles.
IT WOULD BE GREAT IF YOU HAD
Experience selling voice AI, speech, AI/ML, developer tools, or infrastructure.
Experience co-selling through systems integrators or hyperscaler partners.
Familiarity with a modern sales methodology such as Challenger.
Experience in a high-growth or early-stage environment.
If the idea of building Deepgram's business in APAC/ANZ excites you, we'd like to hear from you.
BENEFITS & PERKS
We offer best-in-class benefits, localized to your market. This includes comprehensive health coverage, generous paid time off, paid parental leave, meaningful learning and development support, and stipends to help you do your best work. Specific benefits are administered locally and governed by country-specific regulations.
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!
Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nWHO YOU ARE\n\nYou are a full-cycle Account Executive who builds your own pipeline and closes it. You are comfortable selling a product with real technical depth, holding your own with engineers, architects, and technical decision-makers, and translating what the product does into clear business value. You know how to land a new logo and grow it, and you are as comfortable working a partner co-sell as you are running a direct deal.\n\nYou are at ease operating across the varied markets and cultures of APAC, and you do your best work in a build environment where the playbook is still forming, priorities move quickly, and your input shapes how the team sells. You are organized, self-directed, and relentless about following up.\n\n \n\nWHAT YOU'LL DO\n\n - Own a territory end to end: generate pipeline, run full-cycle deals, and carry a new-business and expansion number.\n\n - Build your own pipeline through self-prospecting, and work with SDRs and Marketing to grow pipeline and build Deepgram's presence in the market, including representing Deepgram at key developer and industry events.\n\n - Run both motions, with an emphasis on co-sell: work closely with the technology partners headquartered in Singapore, and sell directly into accounts across the region.\n\n - Sell across the full spectrum of the market, from fast-moving tech companies to large enterprises, focused on APAC and the broader ANZ region.\n\n - Land new logos and expand them over time, growing accounts through adoption and new use cases.\n\n - Work closely with Field Engineers to guide technical evaluations and move customers from evaluation into production.\n\n - Develop a strong command of customer needs, the competitive landscape, and Deepgram's products, and articulate the value clearly to technical audiences.\n\n - Maintain accurate pipeline hygiene and forecasting.\n\n - Bring the voice of the customer back to Deepgram, feeding product feedback and market insight to the team.\n\n \n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are energized by building early and want to help shape how Deepgram sells across APAC/ANZ.\n\n - Take pride in building your own pipeline and owning a deal from first touch to close.\n\n - Are at home selling to technical buyers and can hold your own on the substance of the product.\n\n - Enjoy running a partner co-sell motion alongside direct selling.\n\n - Think in terms of landing a logo and growing it, not just closing once.\n\n - Are passionate about Deepgram's mission and what voice AI makes possible.\n\n \n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - A track record as a full-cycle Account Executive: building pipeline from scratch, running technical deals, and consistently overachieving against target. We expect this typically means 5 or more years of quota-carrying experience, but we hire at varying levels of seniority and encourage strong candidates to apply.\n\n - Experience selling products with real technical depth, such as APIs, developer tools, or platforms evaluated on their merits by engineering buyers.\n\n - Experience selling across APAC/ANZ markets, to both technical and business buyers.\n\n - Comfort running both a direct motion and a partner or co-sell motion, and strong instincts for working through partners.\n\n - A land-and-expand mindset, with a history of growing accounts after the initial win.\n\n - Strong communication and follow-up, and the discipline to run a consistent, repeatable sales process.\n\n - A history of stable tenure and clear progression across your roles.\n\n \n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience selling voice AI, speech, AI/ML, developer tools, or infrastructure.\n\n - Experience co-selling through systems integrators or hyperscaler partners.\n\n - Familiarity with a modern sales methodology such as Challenger.\n\n - Experience in a high-growth or early-stage environment.\n\nIf the idea of building Deepgram's business in APAC/ANZ excites you, we'd like to hear from you.\n\n \n\nBENEFITS & PERKS\n\nWe offer best-in-class benefits, localized to your market. This includes comprehensive health coverage, generous paid time off, paid parental leave, meaningful learning and development support, and stipends to help you do your best work. Specific benefits are administered locally and governed by country-specific regulations.\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"c8799e26-121b-47be-8bc4-7b342fa32275","title":"GM, Sales (EMEA)","department":"Sales - Leadership","team":"Sales - Leadership","employmentType":"FullTime","location":"London, UK","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-08-26T22:02:20.979+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"England","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/c8799e26-121b-47be-8bc4-7b342fa32275","applyUrl":"https://jobs.ashbyhq.com/deepgram/c8799e26-121b-47be-8bc4-7b342fa32275/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is expanding into EMEA, and we're seeking a GM, Sales to own the region — building and leading the Enterprise and commercial segments of our Account Executive team, establishing Deepgram's European home in London, and driving growth across the region.
This role is both strategic and hands-on. You'll work with sales leadership to continue optimizing the systems, playbooks, and culture that scale ARR growth, while developing a high-performing team that converts opportunities into long-lasting customers. A core part of your mission is building Deepgram's next generation of sales talent through world-class training, coaching, and structured career development.
You'll also be more than a revenue leader. As our senior-most voice in EMEA, you'll bring what you learn in the field back into the company and shape what we build — regional product-market fit, roadmap priorities, and the technical requirements European enterprises hold us to.
You'll partner closely with Marketing, Sales Leadership, RevOps, Customer Success, and Product to align pipeline strategy and leverage modern AI tools to boost productivity, personalization, and team efficiency. Equal parts operator, coach, and builder, you'll combine data-driven rigor with creativity to shape how Deepgram grows its customer base and its sales talent.
Scale the Region: Own the EMEA number. Build and execute a strategic roadmap to drive hyper-growth in ARR, from initial land to enterprise-wide expansion.
Open London: Stand up Deepgram's London office as our EMEA hub — and treat it as a commercial asset, not just real estate. It will host customer and developer events, executive briefings, partner sessions, and the team you build.
\"Challenge & Lead\": Recruit and mentor a high-performance team of Account Executives. Manage Customer Success, Marketing, and Forward Deployed Engineers in a dotted-line structure. You will instill a culture of \"Challenger\" selling — teaching AEs how to disrupt legacy incumbents and lead with technical ROI.
Shape the Product: Act as the voice of EMEA inside Deepgram. Translate field signal — deal losses, evaluation criteria, data residency and compliance requirements, language and accent coverage — into specific, prioritized input that changes what we build and when.
Build the Ecosystem: Identify and sign strategic regional partners, GSIs, and local resellers to act as a force multiplier for Deepgram's direct sales efforts.
Operational Excellence: Implement rigorous forecasting, pipeline hygiene, and territory management across multiple countries, languages, and buying cultures. You will bridge the gap between London and our US HQ.
C-Suite Influence: Act as the primary executive sponsor for major regional accounts, navigating complex procurement cycles and technical AI evaluations.
Thrive on building and scaling high-performing teams that consistently beat targets.
Want to build something from the ground up — including the office, the team, and the regional playbook.
Value working with tenured, high-caliber leaders who prioritize clarity, accountability, collaboration, and execution.
Enjoy blending data-driven sales operations with creative, human-centered leadership.
Are energized by developing AEs and building a culture of growth and continuous learning.
Believe in the power of AI to transform productivity, and are eager to harness cutting-edge tools to optimize performance.
Are passionate about Deepgram's mission to redefine what's possible with speech technology.
Experience: 12+ years in B2B SaaS sales, with 5+ years in a senior leadership role (Director/VP) covering EMEA — including the UK and at least one of DACH, the Nordics, France, or Southern Europe.
The \"Deepgram DNA\": A deep fascination with AI, LLMs, and API-first products. You should be comfortable discussing technical architecture as easily as you discuss revenue targets.
Product Influence: You've done more than sell — you've changed what your company built. You can point to specific roadmap decisions, features, or product bets that happened because of how you brought the market back to Product and Engineering.
Proven Growth: A track record of scaling a regional business from early traction to high-scale maturity ($10M+ ARR growth experience preferred).
Partnership Prowess: Demonstrable experience building channel programs that significantly contribute to the total revenue mix.
High ASP Focus: Expertise in value-based selling to increase Average Selling Price and win rates in a competitive technical landscape.
Operational Rigor: Deep familiarity with modern sales stacks (Salesforce, Gong, Clari, etc.) and a commitment to data-driven decision-making.
Education: Bachelor's degree required; MBA or technical degree is a plus.
Experience opening a new office or first in-region presence for a US-headquartered company.
Experience leading AE organizations at a high-growth, Series B+ startup or scaling tech company.
Background selling developer tools, infrastructure, or AI/ML technologies.
Fluency in navigating EU data protection and AI regulation as a commercial topic, not just a legal one.
Expertise in building talent development programs or performance coaching frameworks.
Comfort operating in dynamic, fast-moving environments with evolving goals and systems.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOPPORTUNITY\n\nDeepgram is expanding into EMEA, and we're seeking a GM, Sales to own the region — building and leading the Enterprise and commercial segments of our Account Executive team, establishing Deepgram's European home in London, and driving growth across the region.\n\nThis role is both strategic and hands-on. You'll work with sales leadership to continue optimizing the systems, playbooks, and culture that scale ARR growth, while developing a high-performing team that converts opportunities into long-lasting customers. A core part of your mission is building Deepgram's next generation of sales talent through world-class training, coaching, and structured career development.\n\nYou'll also be more than a revenue leader. As our senior-most voice in EMEA, you'll bring what you learn in the field back into the company and shape what we build — regional product-market fit, roadmap priorities, and the technical requirements European enterprises hold us to.\n\nYou'll partner closely with Marketing, Sales Leadership, RevOps, Customer Success, and Product to align pipeline strategy and leverage modern AI tools to boost productivity, personalization, and team efficiency. Equal parts operator, coach, and builder, you'll combine data-driven rigor with creativity to shape how Deepgram grows its customer base and its sales talent.\n\n\nWHAT YOU'LL DO\n\n - Scale the Region: Own the EMEA number. Build and execute a strategic roadmap to drive hyper-growth in ARR, from initial land to enterprise-wide expansion.\n\n - Open London: Stand up Deepgram's London office as our EMEA hub — and treat it as a commercial asset, not just real estate. It will host customer and developer events, executive briefings, partner sessions, and the team you build.\n\n - \"Challenge & Lead\": Recruit and mentor a high-performance team of Account Executives. Manage Customer Success, Marketing, and Forward Deployed Engineers in a dotted-line structure. You will instill a culture of \"Challenger\" selling — teaching AEs how to disrupt legacy incumbents and lead with technical ROI.\n\n - Shape the Product: Act as the voice of EMEA inside Deepgram. Translate field signal — deal losses, evaluation criteria, data residency and compliance requirements, language and accent coverage — into specific, prioritized input that changes what we build and when.\n\n - Build the Ecosystem: Identify and sign strategic regional partners, GSIs, and local resellers to act as a force multiplier for Deepgram's direct sales efforts.\n\n - Operational Excellence: Implement rigorous forecasting, pipeline hygiene, and territory management across multiple countries, languages, and buying cultures. You will bridge the gap between London and our US HQ.\n\n - C-Suite Influence: Act as the primary executive sponsor for major regional accounts, navigating complex procurement cycles and technical AI evaluations.\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Thrive on building and scaling high-performing teams that consistently beat targets.\n\n - Want to build something from the ground up — including the office, the team, and the regional playbook.\n\n - Value working with tenured, high-caliber leaders who prioritize clarity, accountability, collaboration, and execution.\n\n - Enjoy blending data-driven sales operations with creative, human-centered leadership.\n\n - Are energized by developing AEs and building a culture of growth and continuous learning.\n\n - Believe in the power of AI to transform productivity, and are eager to harness cutting-edge tools to optimize performance.\n\n - Are passionate about Deepgram's mission to redefine what's possible with speech technology.\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Experience: 12+ years in B2B SaaS sales, with 5+ years in a senior leadership role (Director/VP) covering EMEA — including the UK and at least one of DACH, the Nordics, France, or Southern Europe.\n\n - The \"Deepgram DNA\": A deep fascination with AI, LLMs, and API-first products. You should be comfortable discussing technical architecture as easily as you discuss revenue targets.\n\n - Product Influence: You've done more than sell — you've changed what your company built. You can point to specific roadmap decisions, features, or product bets that happened because of how you brought the market back to Product and Engineering.\n\n - Proven Growth: A track record of scaling a regional business from early traction to high-scale maturity ($10M+ ARR growth experience preferred).\n\n - Partnership Prowess: Demonstrable experience building channel programs that significantly contribute to the total revenue mix.\n\n - High ASP Focus: Expertise in value-based selling to increase Average Selling Price and win rates in a competitive technical landscape.\n\n - Operational Rigor: Deep familiarity with modern sales stacks (Salesforce, Gong, Clari, etc.) and a commitment to data-driven decision-making.\n\n - Education: Bachelor's degree required; MBA or technical degree is a plus.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience opening a new office or first in-region presence for a US-headquartered company.\n\n - Experience leading AE organizations at a high-growth, Series B+ startup or scaling tech company.\n\n - Background selling developer tools, infrastructure, or AI/ML technologies.\n\n - Fluency in navigating EU data protection and AI regulation as a commercial topic, not just a legal one.\n\n - Expertise in building talent development programs or performance coaching frameworks.\n\n - Comfort operating in dynamic, fast-moving environments with evolving goals and systems.\n\n\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"5ed3eb80-7532-467c-9f3e-04a0590a3966","title":"GRC and Security Compliance Lead","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-08T19:24:00.782+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/5ed3eb80-7532-467c-9f3e-04a0590a3966","applyUrl":"https://jobs.ashbyhq.com/deepgram/5ed3eb80-7532-467c-9f3e-04a0590a3966/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is looking for a GRC and Security Compliance Lead to own the written and evidentiary backbone of our security and privacy program — the documents and evidence that auditors, enterprise customers, and our own engineers rely on to know what we actually do.
We hold SOC 2, ISO 27001, and PCI DSS obligations, we answer a steady stream of enterprise security questionnaires, and we publish public commitments about how we handle data and how our models are built. Today that work is spread across too few people. You will own it: the evidence, the policies, the public posture documents, and the system that keeps all three consistent with each other.
Context matters here, because the claims you will be writing are unusually specific. Most of our infrastructure is bare metal in colocation datacenters — containerized on Docker, managed with Ansible, and deployed through GitHub Actions — with AWS used for overflow capacity and a small set of services. That means our control environment spans physical and colocation controls, on-premise hosts, and cloud, not a single cloud provider's shared-responsibility model. Deepgram also processes audio — often some of the most sensitive data our customers hold — across several deployment models: hosted with model-improvement opted in, hosted with model-improvement opted out (effectively zero data retention), single-tenant Deepgram Dedicated deployments with regional data residency, and fully self-hosted deployments running in the customer's own environment. Getting a public statement right means understanding which of those a given claim applies to.
Writing is the core skill in this role, and we mean writing that survives a skeptical reader — an auditor, a Fortune 500 security reviewer, an engineer who knows the system better than you do. Where a claim needs technical verification, you define what has to be proven and partner with Security Engineering to prove it; you are not expected to do that engineering work yourself.
This role reports to the Director of Information Security and works closely with Security Engineering, Legal, Research, and Solutions/Sales Engineering.
Own audit evidence end to end for SOC 2, ISO 27001, and PCI DSS — what evidence is required, who produces it, where it lives, and whether it would actually satisfy a reviewer. Be the auditor's primary point of contact through fieldwork.
Own control mapping across frameworks. Build and maintain the crosswalk so one control and one piece of evidence satisfies SOC 2, ISO 27001, PCI DSS, and customer questionnaires — rather than running the same work three times.
Own the colocation and infrastructure vendor side of compliance: datacenter provider SOC reports and attestations, physical security and carve-out language, and how shared responsibility actually divides between us and each provider.
Own security questionnaires and the security sections of RFPs. Maintain the answer library, keep it current as the product changes, and know which answers to fight for and which to concede.
Author and own the lifecycle of our internal policies and standards: drafting, review and approval cycles, annual review, exceptions and carve-outs, and retiring what no longer reflects reality.
Own our public-facing posture documents — Trust Center content, the AI Safety statement, Model Cards (with Research), the Privacy Policy (with Legal), and the deployment-model and self-hosted documentation customers rely on during review.
Own the documentation system itself: where documents live, how they are versioned and reviewed, and how a customer-facing claim traces back to an internal source of truth. Nothing we say publicly should be unattributable.
Maintain accurate data flow maps and records of processing across hosted, dedicated, and self-hosted deployments — and own the process that keeps them accurate as the product changes.
Run compliance and security awareness training and enablement, including clear guidance to Sales Engineering on what they may and may not commit to on a customer call.
Partner with Security Engineering so evidence is generated once, by automation — from Ansible, GitHub, and our logging and monitoring stack — and reused, and flag where a manual evidence pull should become an automated one.
Support the privacy program: contribute to DPIAs and transfer impact assessments, subprocessor and vendor privacy reviews, and DSAR intake, in partnership with the Privacy Operations Lead.
Certification such as CISA, ISO 27001 Lead Implementer/Auditor, CIPM, CIPT, or CIPP/E.
Substantial experience in GRC, security compliance, or technical compliance documentation — enough that you have carried at least one audit cycle end to end from the evidence side and owned the outcome.
Exceptional writer. This is the central requirement, not a soft skill. You can turn a messy technical reality into a document a skeptical auditor, customer, or engineer will accept.
Hands-on involvement in at least one formal audit — SOC 2, ISO 27001, or PCI DSS — as the person producing and defending evidence, not only as a reader of the report.
Experience mapping controls across more than one framework, and a real opinion about how to avoid duplicated compliance work.
Technically fluent and unintimidated: you can read an architecture diagram, follow a data flow through datacenter and cloud infrastructure, understand what a log line or a retention setting actually implies, and ask the question that exposes a gap — without needing someone to translate for you.
Startup-friendly judgment. You know which questionnaire answers are worth fighting for and which to concede, and when a policy needs a carve-out rather than a mandate. Controls and policies that ignore how the company actually ships get routed around, and we would rather you name the trade-off than write the ideal version.
Working knowledge of GDPR, CCPA/CPRA, and where AI regulation is heading — enough to write public posture documents that hold up.
Bias toward building systems and templates rather than becoming the person every request has to route through.
Comfortable with ambiguity and with making a defensible call when the standard is unsettled.
Audit experience in an on-premise, colocation, or hybrid environment — not only cloud-native.
Experience with compliance automation platforms (Vanta, Drata, or similar) and trust center tooling, including where they fall short outside a pure-cloud environment.
Familiarity with AI governance frameworks — NIST AI RMF, ISO/IEC 42001, EU AI Act — and with model documentation practice.
Experience with ML/AI data pipelines and training-data governance.
Compliance work in a hybrid model — multi-tenant SaaS alongside self-hosted or on-premise deployments.
Comfort with SQL, light scripting, or AI and agentic tooling to pull and assemble your own evidence rather than filing a ticket for it.
Exposure to HIPAA or FedRAMP.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nDeepgram is looking for a GRC and Security Compliance Lead to own the written and evidentiary backbone of our security and privacy program — the documents and evidence that auditors, enterprise customers, and our own engineers rely on to know what we actually do.\n\n\n\nWe hold SOC 2, ISO 27001, and PCI DSS obligations, we answer a steady stream of enterprise security questionnaires, and we publish public commitments about how we handle data and how our models are built. Today that work is spread across too few people. You will own it: the evidence, the policies, the public posture documents, and the system that keeps all three consistent with each other.\n\n\n\nContext matters here, because the claims you will be writing are unusually specific. Most of our infrastructure is bare metal in colocation datacenters — containerized on Docker, managed with Ansible, and deployed through GitHub Actions — with AWS used for overflow capacity and a small set of services. That means our control environment spans physical and colocation controls, on-premise hosts, and cloud, not a single cloud provider's shared-responsibility model. Deepgram also processes audio — often some of the most sensitive data our customers hold — across several deployment models: hosted with model-improvement opted in, hosted with model-improvement opted out (effectively zero data retention), single-tenant Deepgram Dedicated deployments with regional data residency, and fully self-hosted deployments running in the customer's own environment. Getting a public statement right means understanding which of those a given claim applies to.\n\n\n\nWriting is the core skill in this role, and we mean writing that survives a skeptical reader — an auditor, a Fortune 500 security reviewer, an engineer who knows the system better than you do. Where a claim needs technical verification, you define what has to be proven and partner with Security Engineering to prove it; you are not expected to do that engineering work yourself.\n\n\n\nThis role reports to the Director of Information Security and works closely with Security Engineering, Legal, Research, and Solutions/Sales Engineering.\n\n\n\n\n\nRESPONSIBILITIES\n\n - Own audit evidence end to end for SOC 2, ISO 27001, and PCI DSS — what evidence is required, who produces it, where it lives, and whether it would actually satisfy a reviewer. Be the auditor's primary point of contact through fieldwork.\n\n - Own control mapping across frameworks. Build and maintain the crosswalk so one control and one piece of evidence satisfies SOC 2, ISO 27001, PCI DSS, and customer questionnaires — rather than running the same work three times.\n\n - Own the colocation and infrastructure vendor side of compliance: datacenter provider SOC reports and attestations, physical security and carve-out language, and how shared responsibility actually divides between us and each provider.\n\n - Own security questionnaires and the security sections of RFPs. Maintain the answer library, keep it current as the product changes, and know which answers to fight for and which to concede.\n\n - Author and own the lifecycle of our internal policies and standards: drafting, review and approval cycles, annual review, exceptions and carve-outs, and retiring what no longer reflects reality.\n\n - Own our public-facing posture documents — Trust Center content, the AI Safety statement, Model Cards (with Research), the Privacy Policy (with Legal), and the deployment-model and self-hosted documentation customers rely on during review.\n\n - Own the documentation system itself: where documents live, how they are versioned and reviewed, and how a customer-facing claim traces back to an internal source of truth. Nothing we say publicly should be unattributable.\n\n - Maintain accurate data flow maps and records of processing across hosted, dedicated, and self-hosted deployments — and own the process that keeps them accurate as the product changes.\n\n - Run compliance and security awareness training and enablement, including clear guidance to Sales Engineering on what they may and may not commit to on a customer call.\n\n - Partner with Security Engineering so evidence is generated once, by automation — from Ansible, GitHub, and our logging and monitoring stack — and reused, and flag where a manual evidence pull should become an automated one.\n\n - Support the privacy program: contribute to DPIAs and transfer impact assessments, subprocessor and vendor privacy reviews, and DSAR intake, in partnership with the Privacy Operations Lead.\n\n\nSKILLS NEEDED\n\n - Certification such as CISA, ISO 27001 Lead Implementer/Auditor, CIPM, CIPT, or CIPP/E.\n\n - Substantial experience in GRC, security compliance, or technical compliance documentation — enough that you have carried at least one audit cycle end to end from the evidence side and owned the outcome.\n\n - Exceptional writer. This is the central requirement, not a soft skill. You can turn a messy technical reality into a document a skeptical auditor, customer, or engineer will accept.\n\n - Hands-on involvement in at least one formal audit — SOC 2, ISO 27001, or PCI DSS — as the person producing and defending evidence, not only as a reader of the report.\n\n - Experience mapping controls across more than one framework, and a real opinion about how to avoid duplicated compliance work.\n\n - Technically fluent and unintimidated: you can read an architecture diagram, follow a data flow through datacenter and cloud infrastructure, understand what a log line or a retention setting actually implies, and ask the question that exposes a gap — without needing someone to translate for you.\n\n - Startup-friendly judgment. You know which questionnaire answers are worth fighting for and which to concede, and when a policy needs a carve-out rather than a mandate. Controls and policies that ignore how the company actually ships get routed around, and we would rather you name the trade-off than write the ideal version.\n\n - Working knowledge of GDPR, CCPA/CPRA, and where AI regulation is heading — enough to write public posture documents that hold up.\n\n - Bias toward building systems and templates rather than becoming the person every request has to route through.\n\n - Comfortable with ambiguity and with making a defensible call when the standard is unsettled.\n\n\nNICE TO HAVE\n\n - Audit experience in an on-premise, colocation, or hybrid environment — not only cloud-native.\n\n - Experience with compliance automation platforms (Vanta, Drata, or similar) and trust center tooling, including where they fall short outside a pure-cloud environment.\n\n - Familiarity with AI governance frameworks — NIST AI RMF, ISO/IEC 42001, EU AI Act — and with model documentation practice.\n\n - Experience with ML/AI data pipelines and training-data governance.\n\n - Compliance work in a hybrid model — multi-tenant SaaS alongside self-hosted or on-premise deployments.\n\n - Comfort with SQL, light scripting, or AI and agentic tooling to pull and assemble your own evidence rather than filing a ticket for it.\n\n - Exposure to HIPAA or FedRAMP.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$165K – $223.3K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$165K - $223.3K","compensationTiers":[{"id":"d042edcf-4d5d-4660-b0b1-1a17ab546003","tierSummary":"(San Francisco, Seattle, NYC) $179K – $223.3K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":"Tier 1","additionalInformation":"10% Annual Bonus","components":[{"id":"48f4ecb0-b10c-47a3-a7e6-a5092a0aee71","summary":"(San Francisco, Seattle, NYC) $179K – $223.3K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":179000,"maxValue":223300},{"id":"54363d63-51c0-4895-b263-a2a5b97342a2","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"67bc699c-bbdd-4c30-9f2c-b18b6b5ba052","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]},{"id":"25aa39b8-62e9-4e57-9e38-9940b5ea3a3d","tierSummary":"(Everywhere else in US) $165K – $206.2K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":"Tier 2","additionalInformation":"10% Annual Bonus","components":[{"id":"1b850dfa-41b6-4d24-85b1-faba6630d683","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"66bcf009-c1a5-457b-8520-a9f843d98bb8","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"91b39527-f83e-4954-9c78-7bfa99436dd3","summary":"(Everywhere else in US) $165K – $206.2K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":165000,"maxValue":206200}]}],"summaryComponents":[{"minValue":165000,"maxValue":223300,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"},{"compensationType":"EquityCashValue","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"}]}},{"id":"75ea6241-dbf0-42f2-a271-20d5d141316b","title":"Strategic Account Executive (New York City)","department":"Sales - AE","team":"Sales - AE","employmentType":"FullTime","location":"New York City, NY","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-03T19:47:33.400+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"NY","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/75ea6241-dbf0-42f2-a271-20d5d141316b","applyUrl":"https://jobs.ashbyhq.com/deepgram/75ea6241-dbf0-42f2-a271-20d5d141316b/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is looking for a Strategic Account Executive to drive new customers and revenue at our rapidly growing company. This individual will focus on Fortune 500 accounts across the greater New York area. While there is no requirement to work from an office, Deepgram has a local office available for those who wish to use it. We are prioritizing candidates who can regularly meet with customers in person throughout the region.
You will have the opportunity to sell a patented, world-class Voice AI platform that enables our customers to achieve things previously not possible with voice. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!
What You’ll Do
Own and grow a portfolio of Fortune 500 accounts across the greater New York area
Build strong relationships with customers through regular in-person meetings and strategic engagement
Self-prospect to build a strong pipeline of new logos and exceed quarterly and annual sales targets, while partnering with the Marketing, SDR, and Partner teams to generate meetings
Work closely with cross-functional teams, especially Sales Operations and Sales Engineering, to ensure sales effectiveness
Develop a deep understanding of customer needs across the STT, TTS, and Voice Agent space, as well as Deepgram’s products and competitive landscape, to clearly articulate our value proposition
Establish and maintain relationships with key stakeholders, partnering with CSMs to identify expansion opportunities and support ongoing account management
You’ll Love This Role If You
Value working with experienced leadership that has a strong track record of success
Thrive alongside high-performing cross-functional partners across GTM
Understand the importance of selling a market-validated product that delivers on its technical promise
Believe there should be no cap on your upside and want ownership of account expansion opportunities
Are passionate about what Deepgram is building and how we are changing what is possible with speech
It’s Important to Us That You Have
7–12+ years of experience in a technical, full-cycle sales role
Proven experience managing complex enterprise or strategic new-business and expansion sales cycles
Experience selling into and navigating large, complex organizations, ideally Fortune 500 accounts
Experience building your own pipeline and closing new accounts
A track record of consistently exceeding sales targets
The ability and willingness to regularly meet customers in person throughout the greater New York area
Strong written and verbal communication skills
Empathy and a unique ability to understand customer needs
Exceptional organization and follow-up skills, with the ability to manage multiple opportunities simultaneously
The ability to drive a consistent and repeatable sales process
It Would Be Great If You Had
Familiarity with Challenger or Triangle sales methodologies
Experience selling technical products to engineering, product, or other highly technical audiences
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is looking for a Strategic Account Executive to drive new customers and revenue at our rapidly growing company. This individual will focus on Fortune 500 accounts across the greater New York area. While there is no requirement to work from an office, Deepgram has a local office available for those who wish to use it. We are prioritizing candidates who can regularly meet with customers in person throughout the region.\n\nYou will have the opportunity to sell a patented, world-class Voice AI platform that enables our customers to achieve things previously not possible with voice. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!\n\nWhat You’ll Do\n\n - Own and grow a portfolio of Fortune 500 accounts across the greater New York area\n\n - Build strong relationships with customers through regular in-person meetings and strategic engagement\n\n - Self-prospect to build a strong pipeline of new logos and exceed quarterly and annual sales targets, while partnering with the Marketing, SDR, and Partner teams to generate meetings\n\n - Work closely with cross-functional teams, especially Sales Operations and Sales Engineering, to ensure sales effectiveness\n\n - Develop a deep understanding of customer needs across the STT, TTS, and Voice Agent space, as well as Deepgram’s products and competitive landscape, to clearly articulate our value proposition\n\n - Establish and maintain relationships with key stakeholders, partnering with CSMs to identify expansion opportunities and support ongoing account management\n\nYou’ll Love This Role If You\n\n - Value working with experienced leadership that has a strong track record of success\n\n - Thrive alongside high-performing cross-functional partners across GTM\n\n - Understand the importance of selling a market-validated product that delivers on its technical promise\n\n - Believe there should be no cap on your upside and want ownership of account expansion opportunities\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\nIt’s Important to Us That You Have\n\n - 7–12+ years of experience in a technical, full-cycle sales role\n\n - Proven experience managing complex enterprise or strategic new-business and expansion sales cycles\n\n - Experience selling into and navigating large, complex organizations, ideally Fortune 500 accounts\n\n - Experience building your own pipeline and closing new accounts\n\n - A track record of consistently exceeding sales targets\n\n - The ability and willingness to regularly meet customers in person throughout the greater New York area\n\n - Strong written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Exceptional organization and follow-up skills, with the ability to manage multiple opportunities simultaneously\n\n - The ability to drive a consistent and repeatable sales process\n\nIt Would Be Great If You Had\n\n - Familiarity with Challenger or Triangle sales methodologies\n\n - Experience selling technical products to engineering, product, or other highly technical audiences\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$330K – $380K • Offers Equity","scrapeableCompensationSalarySummary":"$330K - $380K","compensationTiers":[{"id":"dab738d8-5ed7-48f8-9881-83514b8798bf","tierSummary":"OTE $330K – $380K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"44db21fb-ce5a-4c5a-80a0-e8337efcb0e3","summary":"OTE $330K – $380K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":330000,"maxValue":380000},{"id":"e231c922-8726-48b7-ab3f-0f476a0ecdb1","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":330000,"maxValue":380000},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"1fea22ce-2438-44cb-b28f-2c0109f2f78a","title":"Privacy Operations Lead","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-01T18:47:17.786+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/1fea22ce-2438-44cb-b28f-2c0109f2f78a","applyUrl":"https://jobs.ashbyhq.com/deepgram/1fea22ce-2438-44cb-b28f-2c0109f2f78a/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is looking for a Privacy Operations Lead to own the operational backbone of our privacy program. Deepgram processes audio — often some of the most sensitive data our customers hold — across several deployment models: hosted with model-improvement opted in, hosted with model-improvement opted out (effectively zero data retention), single-tenant Deepgram Dedicated deployments with regional data residency, and fully self-hosted deployments running in the customer's own environment. Our hosted services run primarily on our own bare-metal infrastructure in colocation datacenters, with AWS used for overflow capacity and a small set of services — so knowing where data actually lives means knowing our datacenters, not just a cloud console.
You will be the person who knows, in operational detail, how data moves through each of those models — and who turns that knowledge into durable artifacts: data flow maps, records of processing, assessment templates, playbooks, and self-service guidance that Legal, Engineering, and Sales Engineering can use without re-deriving the answer every time. You will also be the technical voice in enterprise customer privacy reviews.
This is not a policy-writing job. Roughly half the work is assessment and advisory; the other half is designing and operating the processes and tooling that make our privacy claims repeatable and verifiable. Where verification requires reading code or inspecting infrastructure, you will define what needs to be proven and partner with Security and Engineering to prove it — you are not expected to do that engineering work yourself.
This role reports to the Director of Information Security and works closely with Legal, Engineering, and Solutions/Sales Engineering.
We are open on level. This is a senior individual-contributor role, and we will calibrate title, scope, and compensation to demonstrated experience.
Deepgram builds foundational voice AI — speech-to-text, text-to-speech, and voice agent infrastructure — used by enterprises and developers to build production voice applications at scale. Our models are trained and served on our own infrastructure, and we offer hosted, dedicated single-tenant, and self-hosted deployment options so customers can meet their own data residency and retention requirements. Learn more at deepgram.com.
Own customer and prospect privacy risk assessments, DPIAs, and transfer impact assessments end to end. Be the technical voice in customer privacy reviews and vendor due diligence calls.
Build and maintain accurate data flow maps and records of processing across hosted, dedicated, and self-hosted deployments — including which datacenter, region, or cloud each flow touches — and own the process that keeps them accurate as the product changes.
Translate GDPR, UK GDPR, CCPA/CPRA and other US state privacy laws, and emerging AI regulation (EU AI Act, state AI and automated decision-making rules) into concrete requirements that engineering and GTM teams can act on, rather than memos.
Define the privacy requirements for product and infrastructure changes — retention, logging and telemetry, third-party subprocessors, training-data lineage — and drive them to implementation with the owning teams.
Own the operating model for our privacy controls: retention and deletion enforcement, DSAR and deletion workflows, consent and opt-out handling, de-identification and redaction. You specify, instrument, test, and audit; Engineering builds.
Design and run operational auditing and remediation workflows, so drift between what we claim and what we do is caught by process rather than by a customer.
Own the subprocessor and vendor privacy review process — including colocation and infrastructure providers — and the artifacts that support our DPAs and trust center.
Own privacy enablement: playbooks, self-service guidance, and training for Engineering, Support, and Sales Engineering — including what Sales Engineering is and is not allowed to promise.
Partner with Legal on DPAs, SCCs, transfer mechanisms, and the residency commitments we make for dedicated deployments.
Partner with Security so that privacy evidence and security evidence (SOC 2, ISO 27001, PCI DSS) are produced once and reused.
Substantial experience in privacy operations, legal operations, or technical privacy and compliance — enough that you have run assessments end to end and owned the outcome.
Demonstrated ownership of privacy operational systems at scale: data maps, DSAR workflows, consent management, retention processes, or the tooling behind them.
Technically fluent and unintimidated: you can read an architecture diagram, follow a data flow through datacenter and cloud infrastructure, understand what a log line or a retention setting actually implies, and ask the questions that expose a gap — without needing someone to translate for you.
Practical, applied experience with GDPR and CCPA/CPRA, and a current view of where AI regulation is heading.
Able to hold your own with a Fortune 500 privacy team or DPO without escalating every question.
Clear writer. A large share of this job is producing documents that customers, auditors, and engineers rely on.
Strong bias toward automating and documenting your own work rather than becoming the bottleneck for it.
Comfortable with ambiguity and with making a defensible call when the law is unsettled.
CIPM, CIPT, CIPP/E, or equivalent certification.
Comfort reading code (Python, Go, Rust, or TypeScript), writing SQL, or scripting your own tooling.
Familiarity with on-premise or colocation infrastructure, containerized (Docker) workloads, and how data residency works outside a single cloud provider; AWS familiarity a plus.
Experience with ML/AI data pipelines and training-data governance.
Privacy work in a hybrid model — multi-tenant SaaS alongside self-hosted or on-premise deployments.
Exposure to formal audits: SOC 2, ISO 27001, HIPAA, PCI DSS.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nDeepgram is looking for a Privacy Operations Lead to own the operational backbone of our privacy program. Deepgram processes audio — often some of the most sensitive data our customers hold — across several deployment models: hosted with model-improvement opted in, hosted with model-improvement opted out (effectively zero data retention), single-tenant Deepgram Dedicated deployments with regional data residency, and fully self-hosted deployments running in the customer's own environment. Our hosted services run primarily on our own bare-metal infrastructure in colocation datacenters, with AWS used for overflow capacity and a small set of services — so knowing where data actually lives means knowing our datacenters, not just a cloud console.\n\n\n\nYou will be the person who knows, in operational detail, how data moves through each of those models — and who turns that knowledge into durable artifacts: data flow maps, records of processing, assessment templates, playbooks, and self-service guidance that Legal, Engineering, and Sales Engineering can use without re-deriving the answer every time. You will also be the technical voice in enterprise customer privacy reviews.\n\n\n\nThis is not a policy-writing job. Roughly half the work is assessment and advisory; the other half is designing and operating the processes and tooling that make our privacy claims repeatable and verifiable. Where verification requires reading code or inspecting infrastructure, you will define what needs to be proven and partner with Security and Engineering to prove it — you are not expected to do that engineering work yourself.\n\n\n\nThis role reports to the Director of Information Security and works closely with Legal, Engineering, and Solutions/Sales Engineering.\n\n\n\nWe are open on level. This is a senior individual-contributor role, and we will calibrate title, scope, and compensation to demonstrated experience.\n\n\nABOUT DEEPGRAM\n\nDeepgram builds foundational voice AI — speech-to-text, text-to-speech, and voice agent infrastructure — used by enterprises and developers to build production voice applications at scale. Our models are trained and served on our own infrastructure, and we offer hosted, dedicated single-tenant, and self-hosted deployment options so customers can meet their own data residency and retention requirements. Learn more at deepgram.com http://deepgram.com.\n\n\nRESPONSIBILITIES\n\n - Own customer and prospect privacy risk assessments, DPIAs, and transfer impact assessments end to end. Be the technical voice in customer privacy reviews and vendor due diligence calls.\n\n - Build and maintain accurate data flow maps and records of processing across hosted, dedicated, and self-hosted deployments — including which datacenter, region, or cloud each flow touches — and own the process that keeps them accurate as the product changes.\n\n - Translate GDPR, UK GDPR, CCPA/CPRA and other US state privacy laws, and emerging AI regulation (EU AI Act, state AI and automated decision-making rules) into concrete requirements that engineering and GTM teams can act on, rather than memos.\n\n - Define the privacy requirements for product and infrastructure changes — retention, logging and telemetry, third-party subprocessors, training-data lineage — and drive them to implementation with the owning teams.\n\n - Own the operating model for our privacy controls: retention and deletion enforcement, DSAR and deletion workflows, consent and opt-out handling, de-identification and redaction. You specify, instrument, test, and audit; Engineering builds.\n\n - Design and run operational auditing and remediation workflows, so drift between what we claim and what we do is caught by process rather than by a customer.\n\n - Own the subprocessor and vendor privacy review process — including colocation and infrastructure providers — and the artifacts that support our DPAs and trust center.\n\n - Own privacy enablement: playbooks, self-service guidance, and training for Engineering, Support, and Sales Engineering — including what Sales Engineering is and is not allowed to promise.\n\n - Partner with Legal on DPAs, SCCs, transfer mechanisms, and the residency commitments we make for dedicated deployments.\n\n - Partner with Security so that privacy evidence and security evidence (SOC 2, ISO 27001, PCI DSS) are produced once and reused.\n\n\nSKILLS NEEDED\n\n - Substantial experience in privacy operations, legal operations, or technical privacy and compliance — enough that you have run assessments end to end and owned the outcome.\n\n - Demonstrated ownership of privacy operational systems at scale: data maps, DSAR workflows, consent management, retention processes, or the tooling behind them.\n\n - Technically fluent and unintimidated: you can read an architecture diagram, follow a data flow through datacenter and cloud infrastructure, understand what a log line or a retention setting actually implies, and ask the questions that expose a gap — without needing someone to translate for you.\n\n - Practical, applied experience with GDPR and CCPA/CPRA, and a current view of where AI regulation is heading.\n\n - Able to hold your own with a Fortune 500 privacy team or DPO without escalating every question.\n\n - Clear writer. A large share of this job is producing documents that customers, auditors, and engineers rely on.\n\n - Strong bias toward automating and documenting your own work rather than becoming the bottleneck for it.\n\n - Comfortable with ambiguity and with making a defensible call when the law is unsettled.\n\n\nNICE TO HAVE\n\n - CIPM, CIPT, CIPP/E, or equivalent certification.\n\n - Comfort reading code (Python, Go, Rust, or TypeScript), writing SQL, or scripting your own tooling.\n\n - Familiarity with on-premise or colocation infrastructure, containerized (Docker) workloads, and how data residency works outside a single cloud provider; AWS familiarity a plus.\n\n - Experience with ML/AI data pipelines and training-data governance.\n\n - Privacy work in a hybrid model — multi-tenant SaaS alongside self-hosted or on-premise deployments.\n\n - Exposure to formal audits: SOC 2, ISO 27001, HIPAA, PCI DSS.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$165K – $223.3K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$165K - $223.3K","compensationTiers":[{"id":"167d4c6e-fa03-4e34-9da5-bde0a93307a6","tierSummary":"(San Francisco, Seattle, NYC) $179K – $223.3K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":"Tier 1","additionalInformation":"10% Annual Bonus","components":[{"id":"59de3419-4f92-451d-bad6-db1425624d4c","summary":"(San Francisco, Seattle, NYC) $179K – $223.3K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":179000,"maxValue":223300},{"id":"7407ffac-55a7-44fa-8670-19d31e1c96c4","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"1e07cbae-ecaa-453d-8c16-e31cbf7fce53","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]},{"id":"beb2aa93-bff2-48b2-8507-b1bbaaa84c53","tierSummary":"(Everywhere else in US) $165K – $206.2K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":"Tier 2","additionalInformation":"10% Annual Bonus","components":[{"id":"088a6df9-caab-4c47-8a06-e541176c452b","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"7dec0639-33b3-4f34-a89c-8457880e5ba8","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"be5de22f-b4a3-4901-8058-9a337b6bb6c1","summary":"(Everywhere else in US) $165K – $206.2K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":165000,"maxValue":206200}]}],"summaryComponents":[{"minValue":165000,"maxValue":223300,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"},{"compensationType":"EquityCashValue","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"}]}},{"id":"ec9f63e6-b7b4-4d58-8552-9cfeef5e82c6","title":"Senior Commercial Counsel","department":"Legal","team":"Legal","employmentType":"FullTime","location":"London, UK","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"Remote- Ireland","address":null}],"publishedAt":"2026-10-16T15:44:20.845+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"England","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/ec9f63e6-b7b4-4d58-8552-9cfeef5e82c6","applyUrl":"https://jobs.ashbyhq.com/deepgram/ec9f63e6-b7b4-4d58-8552-9cfeef5e82c6/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Opportunity:
We’re looking for an exceptional commercial lawyer to join our lean, high-impact legal team as our second commercial lawyer. This role is for someone who thrives at the intersection of law and business strategy — a deal-maker with sharp instincts, sound judgment, and genuine excitement about what Deepgram is building and how we are changing what is possible with speech.
Our legal team has a real seat at the table. You’ll close deals that matter, shape legal strategy at the frontier of AI, and craft commercial frameworks that are being built for the first time in this space. You’ll also help establish a legal function that scales with a company on a steep trajectory, reporting directly to our AssociateGeneral Counsel (Commercial). This role will be based in the UK/EU and will play a lead role in supporting our growing UK/EU and APAC business, including our expanding presence in the UK, EU, India, Australia, and Singapore.
This is a role for a builder.
What You’ll Do
Structure, negotiate, and close enterprise sales and partnership agreements, along with supporting a range of other commercial deals (including vendor and services agreements, data licenses, and marketing arrangements)
Serve as a trusted partner to our sales and business development teams, helping them move faster and smarter
Bring customer empathy to every negotiation, understanding the businesses we serve well enough to craft agreements that close faster and hold up longer
Design and implement scalable legal processes — standardizing deal terms, building templates, and streamlining the path to signed agreement
Provide clear, practical guidance on privacy, intellectual property, data security, and AI-specific legal issues as they arise
Navigate cross-border commercial and regulatory issues across the UK/EU and APAC and structure appropriate data transfer mechanisms (SCCs, adequacy decisions, BCRs) for our voice data processing
Stay ahead of the evolving legal landscape for AI technologies and their impact on customers, translating developments into actionable guidance for our teams
Roll up your sleeves on the full breadth of legal issues that come with being a fast-growing startup
You’ll Love This Role If You
Value working with leadership that has tenure and a track record of success, along with A Players as cross-functional partners
Get energized by building systems from scratch and establishing foundational practices
Are very practical in addressing legal issues and allergic to unnecessary friction
Have an abiding spirit of idealism about your chosen profession — you’re not just closing deals, you’re building something that matters
Have a point of view on what good lawyering looks like and a healthy sense of humor about everything else
It’s Important To Us That You Have
JD, LLM, or equivalent law degree/qualification from an accredited institution and 5–12 years of experience in legal practice (or more), in-house, at a firm, or both
Demonstrated strength in commercial transactions internationally, particularly across UK/EU and APAC markets, across enterprise deals, partnerships, and other strategic relationships
Fluency in the issues that matter most to us: IP, privacy, data security, and data licensing. A successful candidate will have depth of experience in at least some of these areas, and a willingness to learn the rest.
Practical experience with data protection regimes relevant to our footprint and with structuring cross-border transfer mechanisms
Recognize that law is about the grey areas, and are comfortable living in them, while giving clear and actionable advice.
Exceptional writing — precise, plain, and compelling
It Would Be Great if You Had
Experience helping a high-growth startup scale its sales motion — you know what good looks like and how to build legal infrastructure that accelerates rather than slows the business.
Hands-on experience with commercial and legal issues in the AI space
Prior experience supporting a U.S.-headquartered company’s commercial expansion into the UK/EU and/or APAC
We read cover letters! If you want to stand out: Tell us about your strategy for effectively closing deals, or how you’ve used AI to increase the impact of your work
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nOpportunity:\n\nWe’re looking for an exceptional commercial lawyer to join our lean, high-impact legal team as our second commercial lawyer. This role is for someone who thrives at the intersection of law and business strategy — a deal-maker with sharp instincts, sound judgment, and genuine excitement about what Deepgram is building and how we are changing what is possible with speech.\n\nOur legal team has a real seat at the table. You’ll close deals that matter, shape legal strategy at the frontier of AI, and craft commercial frameworks that are being built for the first time in this space. You’ll also help establish a legal function that scales with a company on a steep trajectory, reporting directly to our AssociateGeneral Counsel (Commercial). This role will be based in the UK/EU and will play a lead role in supporting our growing UK/EU and APAC business, including our expanding presence in the UK, EU, India, Australia, and Singapore.\n\n\n\nThis is a role for a builder.\n\n\n\nWhat You’ll Do\n\n - Structure, negotiate, and close enterprise sales and partnership agreements, along with supporting a range of other commercial deals (including vendor and services agreements, data licenses, and marketing arrangements)\n\n - Serve as a trusted partner to our sales and business development teams, helping them move faster and smarter\n\n - Bring customer empathy to every negotiation, understanding the businesses we serve well enough to craft agreements that close faster and hold up longer\n\n - Design and implement scalable legal processes — standardizing deal terms, building templates, and streamlining the path to signed agreement\n\n - Provide clear, practical guidance on privacy, intellectual property, data security, and AI-specific legal issues as they arise\n\n - Navigate cross-border commercial and regulatory issues across the UK/EU and APAC and structure appropriate data transfer mechanisms (SCCs, adequacy decisions, BCRs) for our voice data processing\n\n - Stay ahead of the evolving legal landscape for AI technologies and their impact on customers, translating developments into actionable guidance for our teams\n\n - Roll up your sleeves on the full breadth of legal issues that come with being a fast-growing startup\n\n\n\nYou’ll Love This Role If You\n\n - Value working with leadership that has tenure and a track record of success, along with A Players as cross-functional partners\n\n - Get energized by building systems from scratch and establishing foundational practices\n\n - Are very practical in addressing legal issues and allergic to unnecessary friction\n\n - Have an abiding spirit of idealism about your chosen profession — you’re not just closing deals, you’re building something that matters\n\n - Have a point of view on what good lawyering looks like and a healthy sense of humor about everything else\n\n\n\nIt’s Important To Us That You Have\n\n - JD, LLM, or equivalent law degree/qualification from an accredited institution and 5–12 years of experience in legal practice (or more), in-house, at a firm, or both\n\n - Demonstrated strength in commercial transactions internationally, particularly across UK/EU and APAC markets, across enterprise deals, partnerships, and other strategic relationships\n\n - Fluency in the issues that matter most to us: IP, privacy, data security, and data licensing. A successful candidate will have depth of experience in at least some of these areas, and a willingness to learn the rest.\n\n - Practical experience with data protection regimes relevant to our footprint and with structuring cross-border transfer mechanisms\n\n - Recognize that law is about the grey areas, and are comfortable living in them, while giving clear and actionable advice.\n\n - Exceptional writing — precise, plain, and compelling\n\n\n\nIt Would Be Great if You Had\n\n - Experience helping a high-growth startup scale its sales motion — you know what good looks like and how to build legal infrastructure that accelerates rather than slows the business.\n\n - Hands-on experience with commercial and legal issues in the AI space\n\n - Prior experience supporting a U.S.-headquartered company’s commercial expansion into the UK/EU and/or APAC\n\nWe read cover letters! If you want to stand out: Tell us about your strategy for effectively closing deals, or how you’ve used AI to increase the impact of your work\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"a0678103-1b9c-44a4-92c0-f705850a8fa1","title":"Director, Text-to-Speech Synthesis Research","department":"Research","team":"Research","employmentType":"FullTime","location":"London, UK","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-21T21:28:44.719+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"England","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/a0678103-1b9c-44a4-92c0-f705850a8fa1","applyUrl":"https://jobs.ashbyhq.com/deepgram/a0678103-1b9c-44a4-92c0-f705850a8fa1/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
We're looking for a Director of Research to own our Text-to-Speech program end to end — the research strategy, the technical bets, and the models that ship. This is a hands-on leadership role: you set direction and stay in the details, shaping architectures, experiments, training strategy, and evaluation. You'll also build the team and operating model that let exceptional researchers move fast without lowering the bar.
The mandate is broad: advance the state of the art in speech generation, and turn those advances into models in production.
Own the TTS research and model roadmap — decide which technical directions can materially move speech-generation quality, including the expensive and non-obvious ones, and recognize when an approach should change or die.
Drive advances across neural audio modeling, prosody and expressiveness, controllability, multilingual speech, voice identity and consistency, data and training strategy, post-training, and inference performance — and make sure they land as measurable production gains.
Stay deeply technical: review research, challenge assumptions, design experiments, diagnose model failures, and take on the highest-leverage problems yourself.
Build evaluation and benchmarking that explains why models improve, not just whether they did — automated metrics alongside human perceptual assessment.
Lead a mix of individual contributors and tech lead managers. Hire and develop both, hold an exceptionally high technical bar, grow senior researchers into technical leaders, and set direction across sub-teams while pushing decisions down to the people closest to the work.
Partner with engineering and product leadership on ship-readiness, and represent Deepgram's TTS research internally and externally.
Want to own a frontier-model program end to end rather than optimize one slice of someone else's agenda.
Care about the breakthrough and the ship in equal measure.
Still love training runs, failed evals, and architecture arguments, even as most of your impact now comes through the people you lead.
Get energy from deciding which bets are worth making when the answer isn't obvious and the experiments are expensive.
Deep expertise in modern TTS, speech generation, or audio generative modeling, with a track record of personally training and improving large-scale neural models.
Command of the modern speech-generation stack and the open problems behind naturalness, expressiveness, controllability, robustness, voice consistency, and inference cost.
A history of setting research direction under genuine uncertainty: prioritizing experiments, allocating compute and researcher time, and killing approaches that aren't working.
Experience leading researchers and research engineers through other technical leaders — developing tech lead managers or equivalent, setting direction across sub-teams — while staying technically influential yourself.
AI as your default mode of work, not an occasional tool. You've rebuilt how you and your team operate around it, and you have a specific, earned view of what it still can't do in speech research.
The ability to make complex technical tradeoffs legible to product, engineering, and executive audiences.
TTS or generative-audio models deployed at meaningful production scale.
Built or substantially scaled a high-performing AI research organization.
Sophisticated evaluation systems for generative speech; expressive or multilingual generation, voice cloning and adaptation, or controllable generation.
Recognized external contributions — publications, open source, patents, invited talks — in speech synthesis, neural audio codecs, speech language models, or multimodal models.
Experience in fast-moving startup or research environments that routinely take models from idea to production.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nWe're looking for a Director of Research to own our Text-to-Speech program end to end — the research strategy, the technical bets, and the models that ship. This is a hands-on leadership role: you set direction and stay in the details, shaping architectures, experiments, training strategy, and evaluation. You'll also build the team and operating model that let exceptional researchers move fast without lowering the bar.\n\n\n\nThe mandate is broad: advance the state of the art in speech generation, and turn those advances into models in production.\n\n\n\nWHAT YOU'LL DO\n\n - Own the TTS research and model roadmap — decide which technical directions can materially move speech-generation quality, including the expensive and non-obvious ones, and recognize when an approach should change or die.\n\n - Drive advances across neural audio modeling, prosody and expressiveness, controllability, multilingual speech, voice identity and consistency, data and training strategy, post-training, and inference performance — and make sure they land as measurable production gains.\n\n - Stay deeply technical: review research, challenge assumptions, design experiments, diagnose model failures, and take on the highest-leverage problems yourself.\n\n - Build evaluation and benchmarking that explains why models improve, not just whether they did — automated metrics alongside human perceptual assessment.\n\n - Lead a mix of individual contributors and tech lead managers. Hire and develop both, hold an exceptionally high technical bar, grow senior researchers into technical leaders, and set direction across sub-teams while pushing decisions down to the people closest to the work.\n\n - Partner with engineering and product leadership on ship-readiness, and represent Deepgram's TTS research internally and externally.\n \n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Want to own a frontier-model program end to end rather than optimize one slice of someone else's agenda.\n\n - Care about the breakthrough and the ship in equal measure.\n\n - Still love training runs, failed evals, and architecture arguments, even as most of your impact now comes through the people you lead.\n\n - Get energy from deciding which bets are worth making when the answer isn't obvious and the experiments are expensive.\n \n\n\nYOU MUST HAVE\n\n - Deep expertise in modern TTS, speech generation, or audio generative modeling, with a track record of personally training and improving large-scale neural models.\n\n - Command of the modern speech-generation stack and the open problems behind naturalness, expressiveness, controllability, robustness, voice consistency, and inference cost.\n\n - A history of setting research direction under genuine uncertainty: prioritizing experiments, allocating compute and researcher time, and killing approaches that aren't working.\n\n - Experience leading researchers and research engineers through other technical leaders — developing tech lead managers or equivalent, setting direction across sub-teams — while staying technically influential yourself.\n\n - AI as your default mode of work, not an occasional tool. You've rebuilt how you and your team operate around it, and you have a specific, earned view of what it still can't do in speech research.\n\n - The ability to make complex technical tradeoffs legible to product, engineering, and executive audiences.\n \n\n\nIT'D BE GREAT IF YOU HAD\n\n - TTS or generative-audio models deployed at meaningful production scale.\n\n - Built or substantially scaled a high-performing AI research organization.\n\n - Sophisticated evaluation systems for generative speech; expressive or multilingual generation, voice cloning and adaptation, or controllable generation.\n\n - Recognized external contributions — publications, open source, patents, invited talks — in speech synthesis, neural audio codecs, speech language models, or multimodal models.\n\n - Experience in fast-moving startup or research environments that routinely take models from idea to production.\n\n\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"821b1ba2-02fe-47cb-907a-39214e0f2fe0","title":"Staff Conversational Designer","department":"Product","team":"Product","employmentType":"FullTime","location":"San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-19T00:20:13.299+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/821b1ba2-02fe-47cb-907a-39214e0f2fe0","applyUrl":"https://jobs.ashbyhq.com/deepgram/821b1ba2-02fe-47cb-907a-39214e0f2fe0/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Note: This is a remote role based in Pacific Time, with a preference for candidates located in San Francisco.
Deepgram builds the models and APIs that put voice agents into production at scale. What decides whether those agents feel human is not a screen. It is whether the agent knows when you have finished speaking, what it does when you cut it off, how it recovers from a misheard word, how it confirms something consequential before acting, and how it covers the milliseconds it cannot remove.
Today those decisions live inside prompts and pipeline config, made ad hoc by whoever is closest to the problem. No one owns them end to end. We are hiring a Staff Conversational Designer to own them.
You will define how Deepgram's voice agents converse: persona, turn-taking, repair, confirmation, and pacing. You will work directly with ML and Engineering on the tradeoffs that make those behaviors real, including endpointing, barge-in, and latency budgets. You will build the evals that tell us whether a conversation is actually good, and publish the guidance and reference experiences that show developers how to build natural conversations on the Voice Agent API.
This is a leading edge role. Very few companies have a titled equivalent. You will be defining this discipline at Deepgram, not inheriting it.
You'll report directly to the Director of Product Design. This is a Staff IC role, and your impact shows up mostly in the leverage you create for others: the patterns our own experiences run on, and the guidance our customers build against.
Your first chapter: a documented persona and voice system, and turn-taking and repair behavior designed and shipped with Engineering. From there, scope expands into conversational-quality evals and developer-facing guidance.
Define the persona and voice system for Deepgram voice agents, and keep it coherent across experiences and use cases
Design turn-taking, barge-in, and end-of-turn behavior with ML and Engineering, tuning responsiveness against the risk of interrupting the user, per use case
Design conversational repair, no-match and no-input handling, and confirmation strategy, including guardrails that require confirmation before high-stakes actions
Own latency-aware pacing and perceived responsiveness: brevity, backchanneling, hold and filler speech, all against real-time budgets
Establish conversational-quality evals and a transcript review practice that turns production failures into a repeatable design loop
Build the reference agent experiences and developer-facing design guidance that demonstrate best-practice conversation on the Voice Agent API
Partner with ML and Research on ASR and TTS behavior, and on the quality criteria that define a good conversation
Set the conversation-design principles, review standards, and shared vocabulary the broader team adopts
Believe conversation is an interface with real craft behind it, not a prompt someone tunes on the side
Want the hard real-time problems: endpointing, barge-in, and the half-second you cannot design away
Get energized by being foundational, defining what good means for a discipline that does not exist here yet
Think the fastest way to raise quality is to make it measurable, then make it repeatable
Are excited by a category still inventing its interaction patterns, where the work is invention rather than iteration
We care more about expertise and leadership than years of experience.
Deep experience designing conversational behavior for LLM-based voice agents or assistants, not only scripted IVR flows
Real fluency with the speech pipeline, from ASR through LLM to TTS, and a working understanding of where design decisions actually live inside it
A track record designing turn-taking, interruption, repair, and confirmation patterns that shipped and held up in production
Evidence of building quality measurement into the practice: evals, transcript review, benchmarks, or a structured failure-analysis loop
Exceptional writing craft, including sample dialogs, design guidance, and documentation that others can build against
Experience influencing engineering and ML partners on behavior they own, without authority over them
Experience designing for developers or technical users, including APIs, SDKs, and documentation surfaces
A working AI practice, with a point of view on where these tools help and where they mislead
Time on a named assistant or a production voice agent platform
Practice with Wizard of Oz testing and sample dialog methods
Hands-on work with eval tooling for LLM or voice quality
Experience in high-stakes or regulated conversation domains where confirmation and recovery carry real cost
Multilingual or cross-locale conversation design experience
Background in high-growth B2B companies with both self-serve and enterprise motions
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nNote: This is a remote role based in Pacific Time, with a preference for candidates located in San Francisco.\n\n\n\n\nABOUT THE ROLE\n\nDeepgram builds the models and APIs that put voice agents into production at scale. What decides whether those agents feel human is not a screen. It is whether the agent knows when you have finished speaking, what it does when you cut it off, how it recovers from a misheard word, how it confirms something consequential before acting, and how it covers the milliseconds it cannot remove.\n\nToday those decisions live inside prompts and pipeline config, made ad hoc by whoever is closest to the problem. No one owns them end to end. We are hiring a Staff Conversational Designer to own them.\n\nYou will define how Deepgram's voice agents converse: persona, turn-taking, repair, confirmation, and pacing. You will work directly with ML and Engineering on the tradeoffs that make those behaviors real, including endpointing, barge-in, and latency budgets. You will build the evals that tell us whether a conversation is actually good, and publish the guidance and reference experiences that show developers how to build natural conversations on the Voice Agent API.\n\nThis is a leading edge role. Very few companies have a titled equivalent. You will be defining this discipline at Deepgram, not inheriting it.\n\nYou'll report directly to the Director of Product Design. This is a Staff IC role, and your impact shows up mostly in the leverage you create for others: the patterns our own experiences run on, and the guidance our customers build against.\n\nYour first chapter: a documented persona and voice system, and turn-taking and repair behavior designed and shipped with Engineering. From there, scope expands into conversational-quality evals and developer-facing guidance.\n\n\n\n\nWHAT YOU’LL DO\n\n - Define the persona and voice system for Deepgram voice agents, and keep it coherent across experiences and use cases\n\n - Design turn-taking, barge-in, and end-of-turn behavior with ML and Engineering, tuning responsiveness against the risk of interrupting the user, per use case\n\n - Design conversational repair, no-match and no-input handling, and confirmation strategy, including guardrails that require confirmation before high-stakes actions\n\n - Own latency-aware pacing and perceived responsiveness: brevity, backchanneling, hold and filler speech, all against real-time budgets\n\n - Establish conversational-quality evals and a transcript review practice that turns production failures into a repeatable design loop\n\n - Build the reference agent experiences and developer-facing design guidance that demonstrate best-practice conversation on the Voice Agent API\n\n - Partner with ML and Research on ASR and TTS behavior, and on the quality criteria that define a good conversation\n\n - Set the conversation-design principles, review standards, and shared vocabulary the broader team adopts\n\n\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Believe conversation is an interface with real craft behind it, not a prompt someone tunes on the side\n\n - Want the hard real-time problems: endpointing, barge-in, and the half-second you cannot design away\n\n - Get energized by being foundational, defining what good means for a discipline that does not exist here yet\n\n - Think the fastest way to raise quality is to make it measurable, then make it repeatable\n\n - Are excited by a category still inventing its interaction patterns, where the work is invention rather than iteration\n\n\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\nWe care more about expertise and leadership than years of experience.\n\n - Deep experience designing conversational behavior for LLM-based voice agents or assistants, not only scripted IVR flows\n\n - Real fluency with the speech pipeline, from ASR through LLM to TTS, and a working understanding of where design decisions actually live inside it\n\n - A track record designing turn-taking, interruption, repair, and confirmation patterns that shipped and held up in production\n\n - Evidence of building quality measurement into the practice: evals, transcript review, benchmarks, or a structured failure-analysis loop\n\n - Exceptional writing craft, including sample dialogs, design guidance, and documentation that others can build against\n\n - Experience influencing engineering and ML partners on behavior they own, without authority over them\n\n - Experience designing for developers or technical users, including APIs, SDKs, and documentation surfaces\n\n - A working AI practice, with a point of view on where these tools help and where they mislead\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Time on a named assistant or a production voice agent platform\n\n - Practice with Wizard of Oz testing and sample dialog methods\n\n - Hands-on work with eval tooling for LLM or voice quality\n\n - Experience in high-stakes or regulated conversation domains where confirmation and recovery carry real cost\n\n - Multilingual or cross-locale conversation design experience\n\n - Background in high-growth B2B companies with both self-serve and enterprise motions\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$180K – $240K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$180K - $240K","compensationTiers":[{"id":"eeb91e5d-e870-402c-b94d-6d503ca37bcf","tierSummary":"$180K – $240K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"09102a43-c16b-4512-9bd2-71bcda5ce6e5","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"af931102-8e21-4ef4-89ed-955939f5ebbb","summary":"$180K – $240K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":240000},{"id":"6fd47024-dbbc-4d02-a60f-9da6c4894ba1","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":240000},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"790f9a3f-82e8-4c55-995b-8ccb95d6eff9","title":"Product Designer II","department":"Product","team":"Product","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-02T16:09:02.605+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/790f9a3f-82e8-4c55-995b-8ccb95d6eff9","applyUrl":"https://jobs.ashbyhq.com/deepgram/790f9a3f-82e8-4c55-995b-8ccb95d6eff9/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Note: This is a remote role based in Pacific Time, with a preference for candidates located in San Francisco.
Playground and Console are where developers meet Deepgram for the first time. Our redesigns are shipping into development now, and both surfaces have steady, real UI work ahead of them.
We're looking for a Product Designer to own that execution. You'll work alongside our senior designers on feature-level work, take assigned pieces end to end once the direction is set, and float to whichever surface needs design hours that week. The work is well-defined and it matters: it is the first impression of the product for most of the people who use it.
This role is deliberately flexible. You'll build fluency in our design system, our developer audience, and our product faster than you would sitting on one surface for a year, and you'll be the reason senior designers get to stay on the problems only they can solve.
You'll report directly to the Director of Product Design.
Your first chapter: feature-level UI across Playground and Console, running on Cosmos, our design system.
Design and refine UI across the Playground and Console experiences, working from a defined problem and a general solution direction
Support senior designers on feature work, taking assigned pieces end to end with minimal guidance once the approach is set
Pick up design work wherever capacity is needed, across product surfaces
Apply Cosmos consistently, and exercise judgment on the edge cases the system does not answer yet
Document the why alongside the what, so your decisions are legible to the team and to engineering
Give regular updates, present your rationale in critique, and give your peers feedback worth having
Use our AI and design tooling in your day-to-day work, and share what you learn with the team
Take pride in execution, and care whether the spacing is right
Want range early, across multiple surfaces and problem types, rather than one narrow lane
Like designing for developers, and find technical products more interesting than intimidating
Want to learn from senior designers by working next to them on real work
Are excited to move at the pace of AI and figure out where these tools genuinely help
We care more about expertise and leadership than years of experience.
Strong UI craft, with a portfolio that shows clear visual and interaction judgment
Experience taking feature-level work end to end, from direction through production handoff
Fluency working inside a design system, and the judgment to know when a pattern does not fit
Clear written communication, including the reasoning behind your decisions
Comfort with technical or abstract product surfaces
AI tools already in your daily practice, with a view on where they help
Experience designing for developers or technical users, including APIs, SDKs, documentation, or console workflows
Exposure to B2B SaaS with both self-serve and enterprise motions
Prototyping skills beyond static screens
Experience contributing to a design system rather than only consuming one
Curiosity about voice, audio, or real-time products
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nNote: This is a remote role based in Pacific Time, with a preference for candidates located in San Francisco.\n\n\n\n\nABOUT THE ROLE\n\nPlayground and Console are where developers meet Deepgram for the first time. Our redesigns are shipping into development now, and both surfaces have steady, real UI work ahead of them.\n\nWe're looking for a Product Designer to own that execution. You'll work alongside our senior designers on feature-level work, take assigned pieces end to end once the direction is set, and float to whichever surface needs design hours that week. The work is well-defined and it matters: it is the first impression of the product for most of the people who use it.\n\nThis role is deliberately flexible. You'll build fluency in our design system, our developer audience, and our product faster than you would sitting on one surface for a year, and you'll be the reason senior designers get to stay on the problems only they can solve.\n\nYou'll report directly to the Director of Product Design.\n\nYour first chapter: feature-level UI across Playground and Console, running on Cosmos, our design system.\n\n\n\n\nWHAT YOU’LL DO\n\n - Design and refine UI across the Playground and Console experiences, working from a defined problem and a general solution direction\n\n - Support senior designers on feature work, taking assigned pieces end to end with minimal guidance once the approach is set\n\n - Pick up design work wherever capacity is needed, across product surfaces\n\n - Apply Cosmos consistently, and exercise judgment on the edge cases the system does not answer yet\n\n - Document the why alongside the what, so your decisions are legible to the team and to engineering\n\n - Give regular updates, present your rationale in critique, and give your peers feedback worth having\n\n - Use our AI and design tooling in your day-to-day work, and share what you learn with the team\n\n\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Take pride in execution, and care whether the spacing is right\n\n - Want range early, across multiple surfaces and problem types, rather than one narrow lane\n\n - Like designing for developers, and find technical products more interesting than intimidating\n\n - Want to learn from senior designers by working next to them on real work\n\n - Are excited to move at the pace of AI and figure out where these tools genuinely help\n\n\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\nWe care more about expertise and leadership than years of experience.\n\n - Strong UI craft, with a portfolio that shows clear visual and interaction judgment\n\n - Experience taking feature-level work end to end, from direction through production handoff\n\n - Fluency working inside a design system, and the judgment to know when a pattern does not fit\n\n - Clear written communication, including the reasoning behind your decisions\n\n - Comfort with technical or abstract product surfaces\n\n - AI tools already in your daily practice, with a view on where they help\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience designing for developers or technical users, including APIs, SDKs, documentation, or console workflows\n\n - Exposure to B2B SaaS with both self-serve and enterprise motions\n\n - Prototyping skills beyond static screens\n\n - Experience contributing to a design system rather than only consuming one\n\n - Curiosity about voice, audio, or real-time products\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$115K – $142.5K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$115K - $142.5K","compensationTiers":[{"id":"770cdf02-12e2-4f3b-a88f-8122348a9ae4","tierSummary":"$115K – $142.5K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"8dc7deab-71b5-4fd6-9e53-bda05e09d3e9","summary":"$115K – $142.5K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":115000,"maxValue":142500},{"id":"2df197b6-0f80-47f6-a526-037fe58e89f7","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"a9bffc44-766c-400a-a9d3-6e476053cb1a","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":115000,"maxValue":142500},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"c26a7488-27ad-46e6-832f-d0dc6ab1bddb","title":"Senior Partner Manager, AWS","department":"Business Development","team":"Business Development","employmentType":"FullTime","location":"Seattle, WA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-28T14:19:55.913+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/c26a7488-27ad-46e6-832f-d0dc6ab1bddb","applyUrl":"https://jobs.ashbyhq.com/deepgram/c26a7488-27ad-46e6-832f-d0dc6ab1bddb/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is looking for a Senior Partner Manager to own and grow our AWS alliance alongside the existing AWS alliance team. AWS is Deepgram's largest and most strategic partnership and it spans co-sell, co-build and co-market. This is the third seat on that team, with a specific mandate: build the enterprise relationships that turn the partnership into revenue, starting with healthcare and financial services.
You will work with AWS field and specialist teams and their enterprise accounts, drive joint pipeline through ACE and AWS Marketplace, and pull AWS into Deepgram deals as a closing lever. Internally, you will work as closely with our product, engineering, and sales teams as you do with AWS; co-building on AWS services, enabling our sellers, and making sure what the partnership needs from Deepgram actually gets built.
This is a builder's role on a small team. While our AWS relationship is very strong, there is still tremendous room for growth. You will also own a portfolio of partnerships outside AWS although AWS is the priority.
We also expect you to be AI-first in how you work. Deepgram builds voice AI; the people representing it should be running their own work on AI to do research, account planning, content, analysis, reporting
What you'll do
Own a co-sell number for the AWS partnership and the plan to hit it.
Build and hold senior relationships across the AWS field and specialist orgs — Account Managers, Solutions Architects, Partner Managers, and industry/GenAI specialists — in the enterprise segment, with an early focus on healthcare and financial services.
Source, register, and drive joint opportunities through ACE; keep pipeline hygiene and attribution clean so joint wins are visible to both companies.
Transact through AWS Marketplace — listings, private offers, channel partner private offers — and make Marketplace the default path for AWS-aligned deals.
Bring AWS into Deepgram sales cycles as a closing lever: funding and credits, solutions architecture support, and executive support.
Co-build: work with Deepgram product and engineering on integrations across AWS services, and carry partner and customer feedback back into the roadmap with enough specificity to be actionable.
Co-market: run joint campaigns, webinars, events, and roadshows with AWS; own MDF.
Enable both sides: teach Deepgram sellers how to work with AWS, and teach AWS teams where Deepgram wins and how to position us.
Build the vertical motion in healthcare and financial services. Create joint use cases, reference architectures, messaging, and target account lists
Own a portfolio of partnerships beyond AWS
Report on partnership performance: pipeline, influenced revenue, Marketplace transactions
What you bring
Substantial, hands-on experience managing an AWS partnership at a technology company. Co-sell and ACE, AWS Marketplace, competencies and program mechanics, and the AWS field org as it actually works.
A track record of carrying and hitting a number. Co-sell, partner-influenced, or direct quota.
Experience selling to or through the enterprise segment. Healthcare or financial services experience is a strong plus.
Builder mindset: you have stood a partnership motion up from zero, not only operated one you inherited.
Startup experience and genuine comfort in a fast-paced, resource-constrained environment. You are a self-starter who does not wait for process to be handed to you.
Entrepreneurial instincts- you find the opening, make the internal case for it, and go execute.
Technical fluency: you can hold a credible architecture conversation with an AWS Solutions Architect and translate it for a seller.
Strong written and verbal communication, and the presence to be credible with AWS and Deepgram executives.
AI-first working style: you use AI tools daily to compress research, account planning, content, and analysis, and you can show how that changes your output
A proven cross-functional operator- comfortable driving work through product, engineering, sales, marketing, legal, and finance without direct authority.
Located in Seattle
Time spent at AWS or another hyperscaler, or managing a second hyperscaler alliance.
Experience working with global and regional systems integrators on joint delivery.
A strong understanding of AI, speech recognition, voice agents, or related domains.
Fluency with Salesforce, AWS Partner Central, and Marketplace operations tooling.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is looking for a Senior Partner Manager to own and grow our AWS alliance alongside the existing AWS alliance team. AWS is Deepgram's largest and most strategic partnership and it spans co-sell, co-build and co-market. This is the third seat on that team, with a specific mandate: build the enterprise relationships that turn the partnership into revenue, starting with healthcare and financial services.\n\n\n\nYou will work with AWS field and specialist teams and their enterprise accounts, drive joint pipeline through ACE and AWS Marketplace, and pull AWS into Deepgram deals as a closing lever. Internally, you will work as closely with our product, engineering, and sales teams as you do with AWS; co-building on AWS services, enabling our sellers, and making sure what the partnership needs from Deepgram actually gets built.\n\n\n\nThis is a builder's role on a small team. While our AWS relationship is very strong, there is still tremendous room for growth. You will also own a portfolio of partnerships outside AWS although AWS is the priority.\n\n\n\nWe also expect you to be AI-first in how you work. Deepgram builds voice AI; the people representing it should be running their own work on AI to do research, account planning, content, analysis, reporting\n\n\n\nWhat you'll do\n\n\n\n - Own a co-sell number for the AWS partnership and the plan to hit it.\n\n - Build and hold senior relationships across the AWS field and specialist orgs — Account Managers, Solutions Architects, Partner Managers, and industry/GenAI specialists — in the enterprise segment, with an early focus on healthcare and financial services.\n\n - Source, register, and drive joint opportunities through ACE; keep pipeline hygiene and attribution clean so joint wins are visible to both companies.\n\n - Transact through AWS Marketplace — listings, private offers, channel partner private offers — and make Marketplace the default path for AWS-aligned deals.\n\n - Bring AWS into Deepgram sales cycles as a closing lever: funding and credits, solutions architecture support, and executive support.\n\n - Co-build: work with Deepgram product and engineering on integrations across AWS services, and carry partner and customer feedback back into the roadmap with enough specificity to be actionable.\n\n - Co-market: run joint campaigns, webinars, events, and roadshows with AWS; own MDF.\n\n - Enable both sides: teach Deepgram sellers how to work with AWS, and teach AWS teams where Deepgram wins and how to position us.\n\n - Build the vertical motion in healthcare and financial services. Create joint use cases, reference architectures, messaging, and target account lists\n\n - Own a portfolio of partnerships beyond AWS\n\n - Report on partnership performance: pipeline, influenced revenue, Marketplace transactions\n\n\n\nWhat you bring\n\n - Substantial, hands-on experience managing an AWS partnership at a technology company. Co-sell and ACE, AWS Marketplace, competencies and program mechanics, and the AWS field org as it actually works.\n\n - A track record of carrying and hitting a number. Co-sell, partner-influenced, or direct quota.\n\n - Experience selling to or through the enterprise segment. Healthcare or financial services experience is a strong plus.\n\n - Builder mindset: you have stood a partnership motion up from zero, not only operated one you inherited.\n\n - Startup experience and genuine comfort in a fast-paced, resource-constrained environment. You are a self-starter who does not wait for process to be handed to you.\n\n - Entrepreneurial instincts- you find the opening, make the internal case for it, and go execute.\n\n - Technical fluency: you can hold a credible architecture conversation with an AWS Solutions Architect and translate it for a seller.\n\n - Strong written and verbal communication, and the presence to be credible with AWS and Deepgram executives.\n\n - AI-first working style: you use AI tools daily to compress research, account planning, content, and analysis, and you can show how that changes your output\n\n - A proven cross-functional operator- comfortable driving work through product, engineering, sales, marketing, legal, and finance without direct authority.\n\n\nIT WOULD BE GREAT IF YOU ALSO HAD\n\n - Located in Seattle\n\n - Time spent at AWS or another hyperscaler, or managing a second hyperscaler alliance.\n\n - Experience working with global and regional systems integrators on joint delivery.\n\n - A strong understanding of AI, speech recognition, voice agents, or related domains.\n\n - Fluency with Salesforce, AWS Partner Central, and Marketplace operations tooling.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$175K – $230K • Offers Equity","scrapeableCompensationSalarySummary":"$175K - $230K","compensationTiers":[{"id":"7fad8878-4cfd-4468-a971-9d84b6e65cef","tierSummary":"70/30 split OTE $175K – $230K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"b20de05f-4059-4b7b-b769-93a790671d8b","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"a02ead4c-1c33-442a-a444-2a90116afeab","summary":"70/30 split OTE $175K – $230K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":230000}]}],"summaryComponents":[{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":230000}]}},{"id":"931a23fe-07e5-4ac9-a100-1f4366781268","title":"Technical GTM Enablement Manager","department":"Sales - Leadership","team":"Sales - Leadership","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-02T17:45:56.942+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/931a23fe-07e5-4ac9-a100-1f4366781268","applyUrl":"https://jobs.ashbyhq.com/deepgram/931a23fe-07e5-4ac9-a100-1f4366781268/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is expanding our enablement function, and we're hiring our first Technical GTM Enablement Manager. This role is the force multiplier for the technical side of our revenue organization. You will own how our pre-sales and post-sales technical teams ramp, stay current, and prove they are ready, sitting at the intersection of Product, Applied Engineering, Customer Success, and Sales.
Our technical field teams run demos, guide architecture decisions, troubleshoot live integrations, and take customers to production. You are not here to teach them their jobs. You are here to make what our best technologists already do repeatable for everyone else, and to get new hires there faster.
This is not a training delivery role, and it is not externally facing content creation. Most of what should exist does not exist yet. You will build it.
Own onboarding and ramp for technical GTM roles, designing and continuously improving a structured program that gets new hires to productivity faster and creating a consistent technical standard across teams.
Build technical field framework and playbooks, including:
Technical discovery with buyers, developers, and evaluators
POC and evaluation standards, including clear technical and business success criteria
Architecture guidance for our most common customer patterns
Technical handoffs across pre-sales and post-sales
Escalation readiness, turning what we learn from individual customer issues into reusable guidance
Build and run technical certifications, keeping it current as the platform changes rapidly underneath it.
Lead technical readiness for launches, partnering with Product and PMM so technical teams are ready before GA rather than after.
Turn subject matter expertise into scalable enablement, pulling what sits in the heads of Product, PMM, and our strongest field technologists and turning it into something repeatable.
Partner with Sales Enablement where the sale turns technical, including technical discovery, evaluation strategy, competitive differentiation, and solution positioning
Operate AI-first, building the tools, agents, and workflows that let a small enablement function serve a growing technical organization.
Came up in the field and would rather fix the system than keep carrying the workaround.
Are energized by earning credibility with senior technical people, and have the background to do it.
Believe in the power of AI to transform productivity, and are eager to harness cutting-edge tools to optimize performance.
Would rather ship something useful this month than design something perfect for next quarter.
Are passionate about Deepgram's mission to redefine what's possible with speech technology.
Value clarity, accountability, and moving quickly without a lot of process or hierarchy.
5+ years in technical, customer-facing roles: solutions engineering, solutions architecture, customer success engineering, technical account management, implementation, or forward-deployed work.
Real time spent building enablement for technical teams, not just delivering it.
Hands-on fluency with APIs, SDKs, integrations, and developer workflows. You can run a live demo, read a customer's integration and see what is wrong, troubleshoot L1-style issues, and hold a genuine architecture conversation. Production code is not required. Hand-waving does not pass.
Experience building onboarding, certification, or technical development programs that people actually finished.
Demonstrated ability to get content out of subject matter experts who have no time for you, and ship anyway.
Something you have built, a tool, agent, script, or workflow, that permanently eliminated recurring work. In your application, tell us what it was, what it replaced, and what it is still doing today.
An AI-native operating model: specific workflows that structurally depend on AI, and a clear account of how you would rebuild them if those tools disappeared tomorrow.
Experience with speech recognition, TTS, voice agents, LLM orchestration, or other developer-first API products.
Experience enabling both pre-sales and post-sales technical roles, and a point of view on how they differ.
Working fluency with scripting or agent building: Python, TypeScript, workflow tools, agent frameworks, or equivalent. You don't need to be a software engineer, just dangerous enough to ship working systems.
Strong writing and narrative skills, especially for turning complex technical concepts into clear, usable field guidance.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOPPORTUNITY\n\nDeepgram is expanding our enablement function, and we're hiring our first Technical GTM Enablement Manager. This role is the force multiplier for the technical side of our revenue organization. You will own how our pre-sales and post-sales technical teams ramp, stay current, and prove they are ready, sitting at the intersection of Product, Applied Engineering, Customer Success, and Sales.\n\nOur technical field teams run demos, guide architecture decisions, troubleshoot live integrations, and take customers to production. You are not here to teach them their jobs. You are here to make what our best technologists already do repeatable for everyone else, and to get new hires there faster.\n\nThis is not a training delivery role, and it is not externally facing content creation. Most of what should exist does not exist yet. You will build it.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own onboarding and ramp for technical GTM roles, designing and continuously improving a structured program that gets new hires to productivity faster and creating a consistent technical standard across teams.\n\n - Build technical field framework and playbooks, including:\n \n - Technical discovery with buyers, developers, and evaluators\n \n - POC and evaluation standards, including clear technical and business success criteria\n \n - Architecture guidance for our most common customer patterns\n \n - Technical handoffs across pre-sales and post-sales\n \n - Escalation readiness, turning what we learn from individual customer issues into reusable guidance\n\n - Build and run technical certifications, keeping it current as the platform changes rapidly underneath it.\n\n - Lead technical readiness for launches, partnering with Product and PMM so technical teams are ready before GA rather than after.\n\n - Turn subject matter expertise into scalable enablement, pulling what sits in the heads of Product, PMM, and our strongest field technologists and turning it into something repeatable.\n\n - Partner with Sales Enablement where the sale turns technical, including technical discovery, evaluation strategy, competitive differentiation, and solution positioning\n\n - Operate AI-first, building the tools, agents, and workflows that let a small enablement function serve a growing technical organization.\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Came up in the field and would rather fix the system than keep carrying the workaround.\n\n - Are energized by earning credibility with senior technical people, and have the background to do it.\n\n - Believe in the power of AI to transform productivity, and are eager to harness cutting-edge tools to optimize performance.\n\n - Would rather ship something useful this month than design something perfect for next quarter.\n\n - Are passionate about Deepgram's mission to redefine what's possible with speech technology.\n\n - Value clarity, accountability, and moving quickly without a lot of process or hierarchy.\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 5+ years in technical, customer-facing roles: solutions engineering, solutions architecture, customer success engineering, technical account management, implementation, or forward-deployed work.\n\n - Real time spent building enablement for technical teams, not just delivering it.\n\n - Hands-on fluency with APIs, SDKs, integrations, and developer workflows. You can run a live demo, read a customer's integration and see what is wrong, troubleshoot L1-style issues, and hold a genuine architecture conversation. Production code is not required. Hand-waving does not pass.\n\n - Experience building onboarding, certification, or technical development programs that people actually finished.\n\n - Demonstrated ability to get content out of subject matter experts who have no time for you, and ship anyway.\n\n - Something you have built, a tool, agent, script, or workflow, that permanently eliminated recurring work. In your application, tell us what it was, what it replaced, and what it is still doing today.\n\n - An AI-native operating model: specific workflows that structurally depend on AI, and a clear account of how you would rebuild them if those tools disappeared tomorrow.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with speech recognition, TTS, voice agents, LLM orchestration, or other developer-first API products.\n\n - Experience enabling both pre-sales and post-sales technical roles, and a point of view on how they differ.\n\n - Working fluency with scripting or agent building: Python, TypeScript, workflow tools, agent frameworks, or equivalent. You don't need to be a software engineer, just dangerous enough to ship working systems.\n\n - Strong writing and narrative skills, especially for turning complex technical concepts into clear, usable field guidance.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$140K – $210K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$140K - $210K","compensationTiers":[{"id":"f421f3db-23a5-4bc4-a9a5-99502d2fb094","tierSummary":"$172K – $210K • Offers Equity • Offers Bonus","title":"San Francisco, New York City & Seattle","additionalInformation":null,"components":[{"id":"daba8550-847a-49cf-8396-50c9d906a14b","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"c4f39c69-1aaf-4cef-9bb8-ae536917d09e","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"8bc6e1c1-b8f1-4ae7-8497-a19c84552eb0","summary":"$172K – $210K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":172000,"maxValue":210000}]},{"id":"2bd1dd28-5a42-4ad3-bb6f-d55522f39cd7","tierSummary":"$140K – $172K • Offers Equity • Offers Bonus","title":"Everywhere else in the U.S.","additionalInformation":null,"components":[{"id":"62061b5e-9320-4615-9eb0-2caca1a55b49","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"b43a8a68-b60d-408c-ad0d-000dfa89dce9","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"75185d69-dcc8-4f53-a05b-e6fd324d0f1d","summary":"$140K – $172K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":172000}]}],"summaryComponents":[{"compensationType":"EquityCashValue","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"minValue":140000,"maxValue":210000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"9762d2a1-3d07-4e65-a0bb-6ed8162ca7d5","title":"Staff Product Manager, AI Applications","department":"Product","team":"Product","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-09T17:24:28.175+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/9762d2a1-3d07-4e65-a0bb-6ed8162ca7d5","applyUrl":"https://jobs.ashbyhq.com/deepgram/9762d2a1-3d07-4e65-a0bb-6ed8162ca7d5/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram builds the voice AI models that power other companies’ products. We are also building our own line of AI applications — products that put our voice AI directly in the hands of the people who use them, knowledge workers and consumers alike — and those applications are a new revenue stream for the company. We are hiring a Staff Product Manager to define that line and to build it into a profitable business.
This is a product management role in the conventional sense: you own the product, its direction, and its decisions, and engineering builds it. What sets the role apart is the moment. The team, the models, and the first applications are in place. The strategy for the line — which products we build, for whom, and how they make money — is yours to set, to defend with evidence, and to keep steady while the company’s attention on it stays high. You report to the VP of Self-Serve.
Own the strategy for Deepgram’s AI applications: decide which products the line consists of, who they are for, and why they win; write it down; defend it to executives; and keep the direction stable while the team builds.
Own the roadmap and its decisions — what ships, in what order, with which tradeoffs — from the applications we have today to the ones we have not built yet.
Build the business: acquisition, activation, retention, and monetization, with the metrics, the targets, and a weekly read of whether the product is working and the business is becoming profitable.
Represent the product with partners and customers, and own what we commit to deliver and when.
Run the team’s operating rhythm — a hypothesis, a shipped change, an honest measurement, the next bet — with real usage by real people as the bar, starting with Deepgram’s own employees as the first users.
Partner daily with research on the models, with engineering and design on the build, and with marketing on the launch; bring the user’s voice into every decision.
Prototype. Mockups, wireframes, and working prototypes are how you communicate; using the product every day is how you know it.
Want to define a product line rather than inherit one, and have done the zero-to-one work before, so you know what it costs.
Believe that voice changes what software can do for a person, and have built toward that belief.
Keep a direction under executive attention and strong opinions, and bring people along with evidence rather than volume.
Build things yourself — a prototype, your own analysis, the fix — and never stop.
Are genuinely AI-native: you work with these tools all day, you know where they help and where they mislead, and you turn them on your own problems.
Excellent product management judgment. You own product and roadmap, set direction, decide under uncertainty, ship outcomes, and lead cross-functional work without authority. You can show the results.
A shipped product that people paid for. This is required. You have built and shipped a consumer or prosumer application that people chose and paid for, and you owned its funnel and its business as well as its features.
Zero-to-one product definition. You have taken a product from an idea to a first version real users adopted — the strategy, the positioning, the first release — and you can show what happened next.
Deep AI fluency, proven by shipped work. This is required. You have personally built and shipped AI into end-user applications and have strong, specific opinions about where models help, where they fail, and how to verify what they produce.
Technical depth. You reason with engineering about models, latency, privacy, and platform tradeoffs; you read code; you prototype.
Design sense. You build simple, effective interfaces and communicate ideas through mockups and prototypes, grounded in user research and testing.
The judgment to distrust a number before you build on it. You ask whether a metric is real or an artifact of how it was measured, as a reflex.
Clear communication with executives. You lead with the decision, keep your method in reserve, and stay steady under pushback without either caving or digging in.
Experience building native desktop or mobile applications (Windows, macOS, iOS).
Experience shipping a product through distribution partners, on someone else’s platform and calendar.
Experience with voice, audio, or real-time systems.
Time in a company with both a self-serve and an enterprise motion.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nCOMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE ROLE\n\nDeepgram builds the voice AI models that power other companies’ products. We are also building our own line of AI applications — products that put our voice AI directly in the hands of the people who use them, knowledge workers and consumers alike — and those applications are a new revenue stream for the company. We are hiring a Staff Product Manager to define that line and to build it into a profitable business.\n\nThis is a product management role in the conventional sense: you own the product, its direction, and its decisions, and engineering builds it. What sets the role apart is the moment. The team, the models, and the first applications are in place. The strategy for the line — which products we build, for whom, and how they make money — is yours to set, to defend with evidence, and to keep steady while the company’s attention on it stays high. You report to the VP of Self-Serve.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own the strategy for Deepgram’s AI applications: decide which products the line consists of, who they are for, and why they win; write it down; defend it to executives; and keep the direction stable while the team builds.\n\n - Own the roadmap and its decisions — what ships, in what order, with which tradeoffs — from the applications we have today to the ones we have not built yet.\n\n - Build the business: acquisition, activation, retention, and monetization, with the metrics, the targets, and a weekly read of whether the product is working and the business is becoming profitable.\n\n - Represent the product with partners and customers, and own what we commit to deliver and when.\n\n - Run the team’s operating rhythm — a hypothesis, a shipped change, an honest measurement, the next bet — with real usage by real people as the bar, starting with Deepgram’s own employees as the first users.\n\n - Partner daily with research on the models, with engineering and design on the build, and with marketing on the launch; bring the user’s voice into every decision.\n\n - Prototype. Mockups, wireframes, and working prototypes are how you communicate; using the product every day is how you know it.\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Want to define a product line rather than inherit one, and have done the zero-to-one work before, so you know what it costs.\n\n - Believe that voice changes what software can do for a person, and have built toward that belief.\n\n - Keep a direction under executive attention and strong opinions, and bring people along with evidence rather than volume.\n\n - Build things yourself — a prototype, your own analysis, the fix — and never stop.\n\n - Are genuinely AI-native: you work with these tools all day, you know where they help and where they mislead, and you turn them on your own problems.\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Excellent product management judgment. You own product and roadmap, set direction, decide under uncertainty, ship outcomes, and lead cross-functional work without authority. You can show the results.\n\n - A shipped product that people paid for. This is required. You have built and shipped a consumer or prosumer application that people chose and paid for, and you owned its funnel and its business as well as its features.\n\n - Zero-to-one product definition. You have taken a product from an idea to a first version real users adopted — the strategy, the positioning, the first release — and you can show what happened next.\n\n - Deep AI fluency, proven by shipped work. This is required. You have personally built and shipped AI into end-user applications and have strong, specific opinions about where models help, where they fail, and how to verify what they produce.\n\n - Technical depth. You reason with engineering about models, latency, privacy, and platform tradeoffs; you read code; you prototype.\n\n - Design sense. You build simple, effective interfaces and communicate ideas through mockups and prototypes, grounded in user research and testing.\n\n - The judgment to distrust a number before you build on it. You ask whether a metric is real or an artifact of how it was measured, as a reflex.\n\n - Clear communication with executives. You lead with the decision, keep your method in reserve, and stay steady under pushback without either caving or digging in.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience building native desktop or mobile applications (Windows, macOS, iOS).\n\n - Experience shipping a product through distribution partners, on someone else’s platform and calendar.\n\n - Experience with voice, audio, or real-time systems.\n\n - Time in a company with both a self-serve and an enterprise motion.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$200K – $268K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$200K - $268K","compensationTiers":[{"id":"c6f067a0-f281-4229-b26d-1be16a48598a","tierSummary":"$215K – $268K • Offers Equity • Offers Bonus","title":"San Francisco, NYC & Seattle","additionalInformation":null,"components":[{"id":"6d39d531-f760-408b-88c0-e2ed3d92dc96","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"175f0781-fbed-4ea5-a021-3b4b04a9d9f0","summary":"$215K – $268K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":215000,"maxValue":268000},{"id":"552ab8af-5d8e-4a85-8b45-ac104c873afc","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]},{"id":"c590f84a-cc29-4c02-851f-dd5b4bfe44e8","tierSummary":"$200K – $250K • Offers Equity • Offers Bonus","title":"Everywhere else in the U.S.","additionalInformation":null,"components":[{"id":"14750d43-a910-4e3f-9d19-691119460af9","summary":"$200K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":250000},{"id":"a14d3644-37c5-442f-b370-5baa26c2abca","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"eca5d1c4-f1e3-4206-a227-276a7ca97263","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"minValue":200000,"maxValue":268000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"},{"compensationType":"EquityCashValue","minValue":null,"maxValue":null,"interval":"1 YEAR"}]}},{"id":"89c0ef18-7433-4c0e-b136-4b03f326c86f","title":"Security Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-01T18:57:11.143+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/89c0ef18-7433-4c0e-b136-4b03f326c86f","applyUrl":"https://jobs.ashbyhq.com/deepgram/89c0ef18-7433-4c0e-b136-4b03f326c86f/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is looking for a Security Engineer to build and automate the technical controls behind our security program. Most of our infrastructure is bare metal in colocation datacenters — GPU-intensive, running containerized workloads on Docker, managed with Ansible, and shipped through CI/CD on GitHub Actions — with AWS used for overflow capacity and a small set of services. Our engineering culture is high-trust and fast-moving. That means controls have to be delivered as code, be reproducible, and produce their own audit evidence — anything that depends on someone remembering to do it manually will not survive.
You will own real surface area: host hardening and configuration management across the fleet, vulnerability and patch management, penetration testing, container security, detection and response, CI/CD and supply chain security, and the engineering work behind our SOC 2, PCI DSS, and ISO 27001 obligations. You will also be expected to use AI and agentic tooling aggressively to punch above your weight on a small team, and to help us secure the AI systems we build and the AI tools we adopt internally.
This is the hands-on technical seat. A GRC and Security Compliance Lead owns policy authorship, security questionnaires, and the auditor relationship; you own the controls themselves and the evidence they generate, and you give that role the technical answers it needs.
This role reports to the Director of Information Security.
Note: as reflected on our published compensation ranges, we are open on level. Strong mid-level and senior candidates are both in scope, and we will calibrate title, scope, and compensation to demonstrated experience.
Deepgram builds foundational voice AI — speech-to-text, text-to-speech, and voice agent infrastructure — used by enterprises and developers to build production voice applications at scale. Our models are trained and served on our own infrastructure, and we offer hosted, dedicated single-tenant, and self-hosted deployment options so customers can meet their own data residency and retention requirements. Learn more at deepgram.com.
Build, deploy, and maintain security controls across our bare-metal fleet and AWS footprint — access management, network segmentation and firewalling, encryption and secrets management, logging and detection coverage, endpoint security, and vulnerability management.
Own configuration management and host hardening as code with Ansible, so baselines are reproducible across hundreds of Linux hosts and drift is detectable rather than merely documented.
Secure containerized workloads: Docker image build pipelines, registry scanning, runtime hardening and detection, and secrets management.
Run vulnerability management end to end — discovery, prioritization by real exploitability rather than raw CVSS, driving remediation with engineering teams, and reporting on it.
Own patch and update management as a program: the server fleet, the endpoint fleet, base images, OS and package updates, firmware where it matters, and dependency upgrades. Set and hold patch SLAs, track exceptions, and automate the routine cases so they do not depend on anyone remembering.
Own the penetration testing lifecycle: scoping and vendor selection, scheduling, triaging findings into engineering work with real owners and dates, verifying fixes on retest, and producing the summary we can share with customers.
Write detections, tune out noise, and take part in incident response. Improve log, telemetry, and security-agent coverage where we are blind.
Run periodic log and access reviews as a standing control, and automate the collection so each cycle produces its own evidence rather than a scramble.
Automate compliance evidence collection for SOC 2, PCI DSS, and ISO 27001, and support audit fieldwork on technical questions — the GRC lead owns the auditor relationship and the narrative; you own the systems that make the evidence true and repeatable.
Harden GitHub Actions CI/CD and the software supply chain: dependency and secret scanning, action pinning, SBOM, artifact and image signing, least-privilege OIDC in place of long-lived credentials.
Apply AI and agentic tooling to security work — triage, evidence gathering, code review, detection engineering — and help secure how the rest of the company uses AI.
Provide the technical input behind customer-facing security work: questionnaire and architecture answers, penetration test summaries, and hardening guidance for customers running Deepgram self-hosted.
Solid experience in security engineering or infrastructure engineering with a security focus — enough that you have owned controls in production, not just recommended them.
Deep Linux. You should be comfortable hardening, debugging, and reasoning about a large fleet of physical Linux hosts — users and sudo, SSH, systemd, kernel and package updates, host firewalls, and what a host-based agent is actually doing.
Ansible at fleet scale is required. You automate first and document second.
Strong scripting. Python and/or Go, plus real shell competence.
Production experience securing Docker containers and the pipelines that build them.
Hands-on experience securing GitHub and GitHub Actions: branch protection, CODEOWNERS, workflow permissions, secrets, and third-party action risk.
Experience running vulnerability and patch management as an ongoing program — including the unglamorous part, which is getting other teams to actually ship the fix.
Experience managing third-party penetration tests from the inside: scoping them well, and turning a report into closed engineering work rather than a PDF in a folder.
Hands-on involvement in at least one formal audit — ISO 27001, PCI DSS, or SOC 2 — as the engineer producing and defending evidence, not only as a reader of the report.
Comfortable using AI coding and agentic tools in daily work, and clear-eyed about their risks: prompt injection, secret leakage, and supply chain exposure.
Pragmatic. Controls that block shipping without a proportionate risk reduction get routed around, and we would rather you name the trade-off than pretend it does not exist.
Datacenter or colocation experience: network segmentation, out-of-band management (IPMI/BMC), physical and vendor controls.
Detection engineering or SIEM/HIDS ownership at scale (for example Wazuh, OSSEC, Elastic).
Secrets management with HashiCorp Vault.
AWS security (IAM, SCPs, VPC) and Terraform.
Kubernetes security.
Offensive security background: penetration testing or red teaming.
PCI DSS work inside a cardholder data environment.
Ownership of a secure SDLC program.
Experience with GPU infrastructure, ML platforms, or multi-tenant inference workloads.
Certifications such as OSCP, GIAC, CISSP, or AWS Security Specialty.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\n\n\nDeepgram is looking for a Security Engineer to build and automate the technical controls behind our security program. Most of our infrastructure is bare metal in colocation datacenters — GPU-intensive, running containerized workloads on Docker, managed with Ansible, and shipped through CI/CD on GitHub Actions — with AWS used for overflow capacity and a small set of services. Our engineering culture is high-trust and fast-moving. That means controls have to be delivered as code, be reproducible, and produce their own audit evidence — anything that depends on someone remembering to do it manually will not survive.\n\n\n\nYou will own real surface area: host hardening and configuration management across the fleet, vulnerability and patch management, penetration testing, container security, detection and response, CI/CD and supply chain security, and the engineering work behind our SOC 2, PCI DSS, and ISO 27001 obligations. You will also be expected to use AI and agentic tooling aggressively to punch above your weight on a small team, and to help us secure the AI systems we build and the AI tools we adopt internally.\n\n\n\nThis is the hands-on technical seat. A GRC and Security Compliance Lead owns policy authorship, security questionnaires, and the auditor relationship; you own the controls themselves and the evidence they generate, and you give that role the technical answers it needs.\n\nThis role reports to the Director of Information Security.\n\n\n\nNote: as reflected on our published compensation ranges, we are open on level. Strong mid-level and senior candidates are both in scope, and we will calibrate title, scope, and compensation to demonstrated experience.\n\n\n\n\nABOUT DEEPGRAM\n\nDeepgram builds foundational voice AI — speech-to-text, text-to-speech, and voice agent infrastructure — used by enterprises and developers to build production voice applications at scale. Our models are trained and served on our own infrastructure, and we offer hosted, dedicated single-tenant, and self-hosted deployment options so customers can meet their own data residency and retention requirements. Learn more at deepgram.com http://deepgram.com.\n\n\nRESPONSIBILITIES\n\n - Build, deploy, and maintain security controls across our bare-metal fleet and AWS footprint — access management, network segmentation and firewalling, encryption and secrets management, logging and detection coverage, endpoint security, and vulnerability management.\n\n - Own configuration management and host hardening as code with Ansible, so baselines are reproducible across hundreds of Linux hosts and drift is detectable rather than merely documented.\n\n - Secure containerized workloads: Docker image build pipelines, registry scanning, runtime hardening and detection, and secrets management.\n\n - Run vulnerability management end to end — discovery, prioritization by real exploitability rather than raw CVSS, driving remediation with engineering teams, and reporting on it.\n\n - Own patch and update management as a program: the server fleet, the endpoint fleet, base images, OS and package updates, firmware where it matters, and dependency upgrades. Set and hold patch SLAs, track exceptions, and automate the routine cases so they do not depend on anyone remembering.\n\n - Own the penetration testing lifecycle: scoping and vendor selection, scheduling, triaging findings into engineering work with real owners and dates, verifying fixes on retest, and producing the summary we can share with customers.\n\n - Write detections, tune out noise, and take part in incident response. Improve log, telemetry, and security-agent coverage where we are blind.\n\n - Run periodic log and access reviews as a standing control, and automate the collection so each cycle produces its own evidence rather than a scramble.\n\n - Automate compliance evidence collection for SOC 2, PCI DSS, and ISO 27001, and support audit fieldwork on technical questions — the GRC lead owns the auditor relationship and the narrative; you own the systems that make the evidence true and repeatable.\n\n - Harden GitHub Actions CI/CD and the software supply chain: dependency and secret scanning, action pinning, SBOM, artifact and image signing, least-privilege OIDC in place of long-lived credentials.\n\n - Apply AI and agentic tooling to security work — triage, evidence gathering, code review, detection engineering — and help secure how the rest of the company uses AI.\n\n - Provide the technical input behind customer-facing security work: questionnaire and architecture answers, penetration test summaries, and hardening guidance for customers running Deepgram self-hosted.\n\n\nSKILLS NEEDED\n\n - Solid experience in security engineering or infrastructure engineering with a security focus — enough that you have owned controls in production, not just recommended them.\n\n - Deep Linux. You should be comfortable hardening, debugging, and reasoning about a large fleet of physical Linux hosts — users and sudo, SSH, systemd, kernel and package updates, host firewalls, and what a host-based agent is actually doing.\n\n - Ansible at fleet scale is required. You automate first and document second.\n\n - Strong scripting. Python and/or Go, plus real shell competence.\n\n - Production experience securing Docker containers and the pipelines that build them.\n\n - Hands-on experience securing GitHub and GitHub Actions: branch protection, CODEOWNERS, workflow permissions, secrets, and third-party action risk.\n\n - Experience running vulnerability and patch management as an ongoing program — including the unglamorous part, which is getting other teams to actually ship the fix.\n\n - Experience managing third-party penetration tests from the inside: scoping them well, and turning a report into closed engineering work rather than a PDF in a folder.\n\n - Hands-on involvement in at least one formal audit — ISO 27001, PCI DSS, or SOC 2 — as the engineer producing and defending evidence, not only as a reader of the report.\n\n - Comfortable using AI coding and agentic tools in daily work, and clear-eyed about their risks: prompt injection, secret leakage, and supply chain exposure.\n\n - Pragmatic. Controls that block shipping without a proportionate risk reduction get routed around, and we would rather you name the trade-off than pretend it does not exist.\n\n\nNICE TO HAVE\n\n - Datacenter or colocation experience: network segmentation, out-of-band management (IPMI/BMC), physical and vendor controls.\n\n - Detection engineering or SIEM/HIDS ownership at scale (for example Wazuh, OSSEC, Elastic).\n\n - Secrets management with HashiCorp Vault.\n\n - AWS security (IAM, SCPs, VPC) and Terraform.\n\n - Kubernetes security.\n\n - Offensive security background: penetration testing or red teaming.\n\n - PCI DSS work inside a cardholder data environment.\n\n - Ownership of a secure SDLC program.\n\n - Experience with GPU infrastructure, ML platforms, or multi-tenant inference workloads.\n\n - Certifications such as OSCP, GIAC, CISSP, or AWS Security Specialty.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$150K – $245K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$150K - $245K","compensationTiers":[{"id":"972afebc-efe5-4300-a082-2a2d390f4ffb","tierSummary":"(San Francisco, Seattle, NYC) $165K – $245K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":"Tier 1","additionalInformation":"10% Annual Bonus","components":[{"id":"976011d9-9e38-47cc-81d2-18f2ef353560","summary":"(San Francisco, Seattle, NYC) $165K – $245K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":165000,"maxValue":245000},{"id":"04b1b4d3-8a9f-4c17-b0f1-662c2fdde5df","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"5faa9f66-bce6-4650-92d0-9396ad5844e5","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]},{"id":"b718becc-35d6-43c7-803e-42763e786e89","tierSummary":"(Everywhere else in US) $150K – $225K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":"Tier 2","additionalInformation":"10% Annual Bonus","components":[{"id":"06f4a20d-b533-488d-9d65-0f27a52645ff","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"533af9e0-3386-4c54-9e97-5a03d84fe5e4","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"578ae71b-c0ae-4a1d-b725-3fc4e7d08fff","summary":"(Everywhere else in US) $150K – $225K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":225000}]}],"summaryComponents":[{"minValue":150000,"maxValue":245000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"},{"compensationType":"EquityCashValue","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"}]}},{"id":"7992391d-a890-41f7-85c8-849e0b878981","title":"Senior Analytics Engineer - Decision Intelligence","department":"Executive","team":"Executive","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-08T15:18:42.307+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/7992391d-a890-41f7-85c8-849e0b878981","applyUrl":"https://jobs.ashbyhq.com/deepgram/7992391d-a890-41f7-85c8-849e0b878981/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is building its decision layer: one governed set of numbers that people and AI agents can act on without re-deriving them. This role builds it.
You are not building pipelines. Ingestion, orchestration and latency belong to the data platform team, and they're good at it. You take what lands in the warehouse and turn it into the layer above the conformed gold tables, the semantic models, and the agent-facing tools that let someone (or something) ask a question and get an answer that holds up.
This is a senior technical IC role on a new team. You'll be the first or second engineer in.
Model the gold layer. Conformed entities for customer, account, project, product and contract. Our identity model spans Salesforce, the console, Stripe and the billing system, with no authoritative key between them resolving that is week one.
Own the semantic layer. Author the models that define our metrics once, so a dashboard, a notebook and an agent all return the same number. Version them. Retire the superseded ones.
Build the agent-facing surface. The tools, permissions and MCP surfaces that let analyst agents navigate our data without inventing a join that looks plausible and is wrong.
Make correctness checkable. Assertions on the things that break silently grain, uniqueness, cross-system reconciliation routed to a named owner. Evaluation of agent output against known-correct answers, tracking accuracy, refusal, and confidently-wrong rates separately.
Absorb the questions. Sales, product and finance bring real questions. You answer them, and you leave behind a model that makes the next version of that question cheaper.
AI-native practice, demonstrated. You use AI daily and intricately not to autocomplete, but as a way of working that has changed what you attempt. We will ask what the most interesting thing you've built with AI in the last month is, and we'll go three questions deep on the answer.
Production-grade SQL and Python. Code that ships on a schedule, has broken, and was found by your own instrumentation rather than by a stakeholder.
Semantic or metrics layer ownership. dbt, Cube, LookML or equivalent owned, not used. You've changed a definition people already depended on, and can say who you told and what the number moved by.
Modelling judgement over tool knowledge. You reason about grain and keys before you write the query. You can tell a data defect from an undecided business definition and treat them differently.
Comfort in work-in-progress infrastructure. Nothing here is finished. There is no ticket queue to work from and no process to inherit you'll be building both as you go.
Clear writing. Much of the output is a definition or a contract someone else has to trust without re-deriving it.
Usage-based or consumption business models, where committed, consumed, invoiced and recognised revenue are genuinely different numbers.
Real-time billing and consumption systems.
Lakehouse architectures - Iceberg, Athena, Trino or similar.
Contributions to open-source data or AI projects.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nABOUT THE ROLE\n\nDeepgram is building its decision layer: one governed set of numbers that people and AI agents can act on without re-deriving them. This role builds it.\n\nYou are not building pipelines. Ingestion, orchestration and latency belong to the data platform team, and they're good at it. You take what lands in the warehouse and turn it into the layer above the conformed gold tables, the semantic models, and the agent-facing tools that let someone (or something) ask a question and get an answer that holds up.\n\nThis is a senior technical IC role on a new team. You'll be the first or second engineer in.\n\n\n\n\nWHAT YOU'LL WORK ON\n\n - Model the gold layer. Conformed entities for customer, account, project, product and contract. Our identity model spans Salesforce, the console, Stripe and the billing system, with no authoritative key between them resolving that is week one.\n\n - Own the semantic layer. Author the models that define our metrics once, so a dashboard, a notebook and an agent all return the same number. Version them. Retire the superseded ones.\n\n - Build the agent-facing surface. The tools, permissions and MCP surfaces that let analyst agents navigate our data without inventing a join that looks plausible and is wrong.\n\n - Make correctness checkable. Assertions on the things that break silently grain, uniqueness, cross-system reconciliation routed to a named owner. Evaluation of agent output against known-correct answers, tracking accuracy, refusal, and confidently-wrong rates separately.\n\n - Absorb the questions. Sales, product and finance bring real questions. You answer them, and you leave behind a model that makes the next version of that question cheaper.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - AI-native practice, demonstrated. You use AI daily and intricately not to autocomplete, but as a way of working that has changed what you attempt. We will ask what the most interesting thing you've built with AI in the last month is, and we'll go three questions deep on the answer.\n\n - Production-grade SQL and Python. Code that ships on a schedule, has broken, and was found by your own instrumentation rather than by a stakeholder.\n\n - Semantic or metrics layer ownership. dbt, Cube, LookML or equivalent owned, not used. You've changed a definition people already depended on, and can say who you told and what the number moved by.\n\n - Modelling judgement over tool knowledge. You reason about grain and keys before you write the query. You can tell a data defect from an undecided business definition and treat them differently.\n\n - Comfort in work-in-progress infrastructure. Nothing here is finished. There is no ticket queue to work from and no process to inherit you'll be building both as you go.\n\n - Clear writing. Much of the output is a definition or a contract someone else has to trust without re-deriving it.\n\n\n\n\nBONUS POINTS\n\n - Usage-based or consumption business models, where committed, consumed, invoiced and recognised revenue are genuinely different numbers.\n\n - Real-time billing and consumption systems.\n\n - Lakehouse architectures - Iceberg, Athena, Trino or similar.\n\n - Contributions to open-source data or AI projects.\n\n\n\n\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$185K – $240K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$185K - $240K","compensationTiers":[{"id":"b5be03b9-b12a-47f5-b021-d2659ce14b1a","tierSummary":"$200K – $240K • Offers Equity • SF, NYC, SEA","title":"Tier 1","additionalInformation":"SF, NYC, SEA","components":[{"id":"1993a2a6-3808-46ad-9d1e-1a4759b7efd5","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"69141d2a-bf3e-4551-afb4-e286eeba5781","summary":"$200K – $240K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":240000}]},{"id":"9413bf1f-3d37-439a-b9f1-4bc991f2b37b","tierSummary":"$185K – $225K • Offers Equity • Offers Bonus","title":"Tier 2","additionalInformation":null,"components":[{"id":"939e5191-73ed-4fe9-82fc-d36f21bd7665","summary":"$185K – $225K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":185000,"maxValue":225000},{"id":"08ee32e0-9e77-4046-90c7-1dc7a1aab9fa","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"85292d85-dc18-4b72-b091-7e0343e8727f","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"EquityCashValue","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"minValue":185000,"maxValue":240000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"}]}},{"id":"8e80b2ec-a88d-4b70-8ddd-0f7021f1554b","title":"Research Staff, Applied Voice AI","department":"Research","team":"Research","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"New York City, NY","address":{"postalAddress":{"addressRegion":"NY","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-10-19T14:01:19.002+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/8e80b2ec-a88d-4b70-8ddd-0f7021f1554b","applyUrl":"https://jobs.ashbyhq.com/deepgram/8e80b2ec-a88d-4b70-8ddd-0f7021f1554b/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram's speech-to-text and text-to-speech models run in production across more use cases than any team could plan for one at a time. Applied Research exists so we don't have to. We're a new, founding team sitting within Research, building an engine that resolves customer issues at scale: research that ships to real customers, then generalizes so the same class of problem never needs a person again. You'll work hands-on with customers running Deepgram in production.
Own applied research initiatives end to end: scope, timebox, and deliver independently.
Ship research into production for customers across voice models, improving accuracy/latency/naturalness for various customers & segments.
Turn one-off product fixes (or improvements) into general solutions.
Build the systems (evaluation, model adaptation, data generation) that let recurring issues resolve without Applied Research in the loop, cutting team-involved escalations.
Define and track production metrics that prove each shipped model works for real customers.
Shorten time from customer-reported issue to deployed fix.
At Staff scope: spot cross-customer patterns, surface root causes to leadership, and set priorities for the team's research roadmap.
Has shipped ML models into production for real customers and can show how success was measured.
Builds and trains models hands-on and writes production-quality code.
Tackles open problems with novel approaches when off-the-shelf tools fall short.
Applies practical product judgment to real constraints like data quality, latency, and cost.
Own the data pipeline Uses data well: designs evaluations and curates or generates training data.
Operates AI-native: designs Human+AI research and engineering workflows, including AI-assisted coding, as the default way of working.
Builds systems that eliminate recurring work instead of re-solving each instance.
Scopes ambiguous, customer-driven problems and delivers without close direction.
Communicates technical results clearly to researchers, engineers, and customer-facing teams.
Speech, audio, or LLM domain work, such as ASR, TTS, or LLM evaluation.
Hands-on fine-tuning (e.g., LoRA), pre-training, or large-scale model evaluation.
Built data-generation or labeling pipelines for model training.
Ownership experience on a startup or small team.
Typically ~5–8 years (Senior) or ~8–12 years (Staff) in applied ML, or equivalent demonstrated experience; advanced degree or equivalent applied research experience.
We know the confidence gap and imposter syndrome can get in the way of meeting great candidates — so please don't hesitate to apply. We'd love to hear from you.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTEAM OVERVIEW\n\nDeepgram's speech-to-text and text-to-speech models run in production across more use cases than any team could plan for one at a time. Applied Research exists so we don't have to. We're a new, founding team sitting within Research, building an engine that resolves customer issues at scale: research that ships to real customers, then generalizes so the same class of problem never needs a person again. You'll work hands-on with customers running Deepgram in production.\n\n \n\n\nKEY GOALS\n\n - Own applied research initiatives end to end: scope, timebox, and deliver independently.\n\n - Ship research into production for customers across voice models, improving accuracy/latency/naturalness for various customers & segments.\n\n - Turn one-off product fixes (or improvements) into general solutions.\n\n - Build the systems (evaluation, model adaptation, data generation) that let recurring issues resolve without Applied Research in the loop, cutting team-involved escalations.\n\n - Define and track production metrics that prove each shipped model works for real customers.\n\n - Shorten time from customer-reported issue to deployed fix.\n\n - At Staff scope: spot cross-customer patterns, surface root causes to leadership, and set priorities for the team's research roadmap.\n\n \n\n\nMINIMUM SKILLS, KNOWLEDGE & CAPABILITIES\n\n - Has shipped ML models into production for real customers and can show how success was measured.\n\n - Builds and trains models hands-on and writes production-quality code.\n\n - Tackles open problems with novel approaches when off-the-shelf tools fall short.\n\n - Applies practical product judgment to real constraints like data quality, latency, and cost.\n\n - Own the data pipeline Uses data well: designs evaluations and curates or generates training data.\n\n - Operates AI-native: designs Human+AI research and engineering workflows, including AI-assisted coding, as the default way of working.\n\n - Builds systems that eliminate recurring work instead of re-solving each instance.\n\n - Scopes ambiguous, customer-driven problems and delivers without close direction.\n\n - Communicates technical results clearly to researchers, engineers, and customer-facing teams.\n\n \n\n\nPREFERRED QUALIFICATIONS (NICE-TO-HAVE, NOT REQUIRED)\n\n - Speech, audio, or LLM domain work, such as ASR, TTS, or LLM evaluation.\n\n - Hands-on fine-tuning (e.g., LoRA), pre-training, or large-scale model evaluation.\n\n - Built data-generation or labeling pipelines for model training.\n\n - Ownership experience on a startup or small team.\n\n - Typically ~5–8 years (Senior) or ~8–12 years (Staff) in applied ML, or equivalent demonstrated experience; advanced degree or equivalent applied research experience.\n\nWe know the confidence gap and imposter syndrome can get in the way of meeting great candidates — so please don't hesitate to apply. We'd love to hear from you.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$216K – $338K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$216K - $338K","compensationTiers":[{"id":"40aa5d55-5555-4f1b-9c60-81c2c7f606e9","tierSummary":"Tier 1 - Senior Level - SF, NYC or Seattle $216K – $270K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":"Tier 1 - Senior Level - SF, NYC or Seattle","additionalInformation":"10% Annual Bonus","components":[{"id":"bd0833a5-3f0f-49ee-9a2d-d42c2eb6bc22","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"a19ae337-f43d-4eff-a5e5-2d49c8035416","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"bed5bf0c-940c-4ddd-b7b1-b95da16fa56b","summary":"Tier 1 - Senior Level - SF, NYC or Seattle $216K – $270K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":216000,"maxValue":270000}]},{"id":"a85aac65-3b8f-4598-8d0b-fb5293491edd","tierSummary":"Tier 1 - Staff Level - SF, NYC or Seattle $270K – $338K • Offers Bonus • 10% Annual Bonus","title":"Tier 1 - Staff Level - SF, NYC or Seattle","additionalInformation":"10% Annual Bonus","components":[{"id":"d1d72fe1-6c08-4522-945b-e259421581bf","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"19a9c9c7-d1c8-4b07-9be0-5cc1a0b4def9","summary":"Tier 1 - Staff Level - SF, NYC or Seattle $270K – $338K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":270000,"maxValue":338000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"minValue":216000,"maxValue":338000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"56d0068b-a787-4682-983c-3ae900ec8692","title":"Revenue Operations Analyst","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-20T16:28:36.299+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/56d0068b-a787-4682-983c-3ae900ec8692","applyUrl":"https://jobs.ashbyhq.com/deepgram/56d0068b-a787-4682-983c-3ae900ec8692/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
The Opportunity
Deepgram is hiring a Revenue Operations Analyst to help build and operate the systems, data, and workflows that power our GTM organization.
This is a hands-on role for someone who likes getting into the details: fixing broken workflows, improving data quality, supporting quote-to-cash and usage-based billing processes, and finding ways to automate repetitive work. You’ll work closely with GTM Engineering, Finance, Sales, Customer Success, and Renewals to make our commercial systems more reliable, scalable, and efficient.
Support and improve quote-to-cash workflows, including CPQ, order forms, contract changes, subscriptions, entitlements, and downstream system updates.
Partner with Finance and GTM Engineering on usage, billing, and monetization workflows, including reconciliation across CRM, product, billing, and finance systems.
Serve as a hands-on Salesforce and GTM systems operator, building reports, dashboards, flows, automations, and system enhancements.
Maintain strong data quality and governance across accounts, opportunities, contracts, usage, renewals, and customer records.
Troubleshoot and resolve GTM systems and process issues, identifying root causes rather than relying on manual workarounds.
Identify repetitive or high-friction workflows and help build automation and AI-enabled solutions to reduce manual effort.
Support the systems and reporting used to operationalize forecasting, routing, territory, quota, and commission decisions.
Partner with the Director, GTM Engineering on system requirements, testing, implementation, documentation, and ongoing optimization.
Help create scalable operating processes as Deepgram grows, while staying close to the day-to-day work that surfaces where systems need to improve.
3–4+ years of experience in Revenue Operations, GTM Systems, Sales Operations, Business Systems, or a related role.
Strong hands-on Salesforce experience, including reporting, flows, automation, and data management.
Experience working across CRM, CPQ, billing, contract, or other GTM systems.
Strong analytical and problem-solving skills with high attention to detail.
A track record of improving workflows, not just executing existing processes.
Comfort using AI and automation tools to reduce manual work and improve operations.
Ability to work cross-functionally across GTM, Finance, and technical teams.
Experience in a usage-based or consumption-based business.
Experience with CPQ and contract-generation tools.
Familiarity with billing or metering systems.
SQL or experience working with GTM/customer data.
Experience with tools such as Claude, Cursor, n8n, Workato, Retool, or similar automation environments.
Experience in a high-growth SaaS or AI company.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nThe Opportunity\n\nDeepgram is hiring a Revenue Operations Analyst to help build and operate the systems, data, and workflows that power our GTM organization.\n\nThis is a hands-on role for someone who likes getting into the details: fixing broken workflows, improving data quality, supporting quote-to-cash and usage-based billing processes, and finding ways to automate repetitive work. You’ll work closely with GTM Engineering, Finance, Sales, Customer Success, and Renewals to make our commercial systems more reliable, scalable, and efficient.\n\n\nWHAT YOU’LL DO\n\n - Support and improve quote-to-cash workflows, including CPQ, order forms, contract changes, subscriptions, entitlements, and downstream system updates.\n\n - Partner with Finance and GTM Engineering on usage, billing, and monetization workflows, including reconciliation across CRM, product, billing, and finance systems.\n\n - Serve as a hands-on Salesforce and GTM systems operator, building reports, dashboards, flows, automations, and system enhancements.\n\n - Maintain strong data quality and governance across accounts, opportunities, contracts, usage, renewals, and customer records.\n\n - Troubleshoot and resolve GTM systems and process issues, identifying root causes rather than relying on manual workarounds.\n\n - Identify repetitive or high-friction workflows and help build automation and AI-enabled solutions to reduce manual effort.\n\n - Support the systems and reporting used to operationalize forecasting, routing, territory, quota, and commission decisions.\n\n - Partner with the Director, GTM Engineering on system requirements, testing, implementation, documentation, and ongoing optimization.\n\n - Help create scalable operating processes as Deepgram grows, while staying close to the day-to-day work that surfaces where systems need to improve.\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - 3–4+ years of experience in Revenue Operations, GTM Systems, Sales Operations, Business Systems, or a related role.\n\n - Strong hands-on Salesforce experience, including reporting, flows, automation, and data management.\n\n - Experience working across CRM, CPQ, billing, contract, or other GTM systems.\n\n - Strong analytical and problem-solving skills with high attention to detail.\n\n - A track record of improving workflows, not just executing existing processes.\n\n - Comfort using AI and automation tools to reduce manual work and improve operations.\n\n - Ability to work cross-functionally across GTM, Finance, and technical teams.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience in a usage-based or consumption-based business.\n\n - Experience with CPQ and contract-generation tools.\n\n - Familiarity with billing or metering systems.\n\n - SQL or experience working with GTM/customer data.\n\n - Experience with tools such as Claude, Cursor, n8n, Workato, Retool, or similar automation environments.\n\n - Experience in a high-growth SaaS or AI company.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$110K – $148K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$110K - $148K","compensationTiers":[{"id":"6bbc1fd3-ae76-4196-97bf-7993573e2885","tierSummary":"$120K – $148K • Offers Equity • Offers Bonus","title":"San Francisco, NYC & Seattle","additionalInformation":null,"components":[{"id":"172ca8ce-7a5b-47e4-ae94-d426eb18bb80","summary":"$120K – $148K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":148000},{"id":"4e54a231-cd37-4b02-880d-7d233988148b","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"5b012f78-fa2e-48ea-b3c3-caf87fd24d39","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]},{"id":"80a0348a-8e1f-4483-8aa2-d563034c5b00","tierSummary":"$110K – $137K • Offers Equity • Offers Bonus","title":"Everywhere else in the U.S.","additionalInformation":null,"components":[{"id":"8b871adb-7aff-4b3d-9aac-2b4bb4d1c498","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"b261591d-b094-4039-a69c-0e184b90aad9","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"331c9dc2-ddc5-4eea-9906-aa04dc8eccfa","summary":"$110K – $137K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":110000,"maxValue":137000}]}],"summaryComponents":[{"minValue":110000,"maxValue":148000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"},{"compensationType":"EquityCashValue","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"}]}},{"id":"dcea53a5-5650-406d-a154-fad077c4b81b","title":"Research Engineer, Post-Training","department":"Research","team":"Research","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"New York City, NY","address":{"postalAddress":{"addressRegion":"NY","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-10-19T13:54:47.821+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/dcea53a5-5650-406d-a154-fad077c4b81b","applyUrl":"https://jobs.ashbyhq.com/deepgram/dcea53a5-5650-406d-a154-fad077c4b81b/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram's speech-to-text and text-to-speech models run in production across more use cases than any team could plan for one at a time. Applied Research exists so we don't have to. We're a new, founding team sitting within Research, building an engine that resolves customer issues at scale: research that ships to real customers, then generalizes so the same class of problem never needs a person again. You'll work hands-on with customers running Deepgram in production.
Own applied research initiatives end to end: scope, timebox, and deliver independently.
Ship research into production for customers across voice models, improving accuracy/latency/naturalness for various customers & segments.
Turn one-off product fixes (or improvements) into general solutions.
Build the systems (evaluation, model adaptation, data generation) that let recurring issues resolve without Applied Research in the loop, cutting team-involved escalations.
Define and track production metrics that prove each shipped model works for real customers.
Shorten time from customer-reported issue to deployed fix.
At Staff scope: spot cross-customer patterns, surface root causes to leadership, and set priorities for the team's research roadmap.
Has shipped ML models into production for real customers and can show how success was measured.
Builds and trains models hands-on and writes production-quality code.
Tackles open problems with novel approaches when off-the-shelf tools fall short.
Applies practical product judgment to real constraints like data quality, latency, and cost.
Own the data pipeline
Uses data well: designs evaluations and curates or generates training data.
Operates AI-native: designs Human+AI research and engineering workflows, including AI-assisted coding, as the default way of working.
Builds systems that eliminate recurring work instead of re-solving each instance.
Scopes ambiguous, customer-driven problems and delivers without close direction.
Communicates technical results clearly to researchers, engineers, and customer-facing teams.
Speech, audio, or LLM domain work, such as ASR, TTS, or LLM evaluation.
Hands-on fine-tuning (e.g., LoRA), pre-training, or large-scale model evaluation.
Built data-generation or labeling pipelines for model training.
Ownership experience on a startup or small team.
Typically ~5–8 years (Senior) or ~8–12 years (Staff) in applied ML, or equivalent demonstrated experience; advanced degree or equivalent applied research experience.
We know the confidence gap and imposter syndrome can get in the way of meeting great candidates — so please don't hesitate to apply. We'd love to hear from you.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTEAM OVERVIEW\n\nDeepgram's speech-to-text and text-to-speech models run in production across more use cases than any team could plan for one at a time. Applied Research exists so we don't have to. We're a new, founding team sitting within Research, building an engine that resolves customer issues at scale: research that ships to real customers, then generalizes so the same class of problem never needs a person again. You'll work hands-on with customers running Deepgram in production.\n\n\n\n\nKEY GOALS\n\n - Own applied research initiatives end to end: scope, timebox, and deliver independently.\n\n - Ship research into production for customers across voice models, improving accuracy/latency/naturalness for various customers & segments.\n\n - Turn one-off product fixes (or improvements) into general solutions.\n\n - Build the systems (evaluation, model adaptation, data generation) that let recurring issues resolve without Applied Research in the loop, cutting team-involved escalations.\n\n - Define and track production metrics that prove each shipped model works for real customers.\n\n - Shorten time from customer-reported issue to deployed fix.\n\n - At Staff scope: spot cross-customer patterns, surface root causes to leadership, and set priorities for the team's research roadmap.\n\n\n\n\nMINIMUM SKILLS, KNOWLEDGE & CAPABILITIES\n\n - Has shipped ML models into production for real customers and can show how success was measured.\n\n - Builds and trains models hands-on and writes production-quality code.\n\n - Tackles open problems with novel approaches when off-the-shelf tools fall short.\n\n - Applies practical product judgment to real constraints like data quality, latency, and cost.\n\n - Own the data pipeline \n\n - Uses data well: designs evaluations and curates or generates training data.\n\n - Operates AI-native: designs Human+AI research and engineering workflows, including AI-assisted coding, as the default way of working.\n\n - Builds systems that eliminate recurring work instead of re-solving each instance.\n\n - Scopes ambiguous, customer-driven problems and delivers without close direction.\n\n - Communicates technical results clearly to researchers, engineers, and customer-facing teams.\n\n\n\n\nPREFERRED QUALIFICATIONS (NICE-TO-HAVE, NOT REQUIRED)\n\n - Speech, audio, or LLM domain work, such as ASR, TTS, or LLM evaluation.\n\n - Hands-on fine-tuning (e.g., LoRA), pre-training, or large-scale model evaluation.\n\n - Built data-generation or labeling pipelines for model training.\n\n - Ownership experience on a startup or small team.\n\n - Typically ~5–8 years (Senior) or ~8–12 years (Staff) in applied ML, or equivalent demonstrated experience; advanced degree or equivalent applied research experience.\n\nWe know the confidence gap and imposter syndrome can get in the way of meeting great candidates — so please don't hesitate to apply. We'd love to hear from you.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$216K – $338K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$216K - $338K","compensationTiers":[{"id":"845e9566-fb76-402d-aded-d7956f07cf94","tierSummary":"Tier 1 - Staff Level (SF, NYC, Seattle) $270K – $338K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":"Tier 1 - Staff Level (SF, NYC, Seattle)","additionalInformation":"10% Annual Bonus","components":[{"id":"d0a2a7f1-a3f6-4481-b2a9-b6ef5dbec4bc","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"52c5da63-ef1e-4ac2-b420-71d52d491f20","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"a5e44691-8c21-4e67-b85c-bdfa5b9d3482","summary":"Tier 1 - Staff Level (SF, NYC, Seattle) $270K – $338K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":270000,"maxValue":338000}]},{"id":"8162b1b5-8ee7-4254-830d-362ff9c6bbc6","tierSummary":"Tier 1 - Senior Level (SF, NYC, Seattle) $216K – $270K • Offers Equity • Offers Bonus • 10% Annual Bonus","title":"Tier 1- Senior Level (SF, NYC, Seattle)","additionalInformation":"10% Annual Bonus","components":[{"id":"25fc8b71-5808-4674-8ac4-e05caa848896","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"edfdfc1f-3da1-491f-b167-57b977b0a5c2","summary":"Tier 1 - Senior Level (SF, NYC, Seattle) $216K – $270K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":216000,"maxValue":270000},{"id":"5c8b5fc8-ebd1-411b-af79-210fd6f4447f","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"EquityPercentage","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"minValue":216000,"maxValue":338000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"07f98531-7a03-4481-a7ff-863fb07dfccd","title":"Account Executive (India)","department":"Sales - AE","team":"Sales - AE","employmentType":"FullTime","location":"India","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-19T13:12:10.172+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"India"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/07f98531-7a03-4481-a7ff-863fb07dfccd","applyUrl":"https://jobs.ashbyhq.com/deepgram/07f98531-7a03-4481-a7ff-863fb07dfccd/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
India is one of the world's largest and fastest-growing technology markets, and Deepgram is already seeing strong demand here. Joining at the earliest stage of Deepgram's presence in the market, you will turn that demand into revenue: owning a territory end to end, winning new logos across the market, and growing them over time. You will help shape how Deepgram sells in India rather than inheriting a finished playbook.
You will sell across the full spectrum of the market, from fast-moving tech companies to large enterprises, and you will run both a direct motion and a co-sell motion alongside our partners. This is a role for a full-cycle seller who is at home with technical buyers and energized by building something early.
WHO YOU ARE
You are a full-cycle Account Executive who builds your own pipeline and closes it. You are comfortable selling a product with real technical depth, holding your own with engineers, architects, and technical decision-makers, and translating what the product does into clear business value. You know how to land a new logo and grow it, and you are as comfortable working a partner co-sell as you are running a direct deal.
You do your best work in a build environment where the playbook is still forming, priorities move quickly, and your input shapes how the team sells. You are organized, self-directed, and relentless about following up.
WHAT YOU'LL DO
Own a territory end to end: generate pipeline, run full-cycle deals, and carry a new-business and expansion number.
Build your own pipeline through self-prospecting, and work with SDRs and Marketing to grow pipeline and build Deepgram's presence in the market, including representing Deepgram at key developer and industry events.
Run both motions: sell directly, and co-sell with systems integrators and hyperscaler partners.
Sell across the full spectrum of the market, from fast-moving tech companies to large enterprises, engaging both technical and business buyers.
Land new logos and expand them over time, growing accounts through adoption and new use cases.
Work closely with Field Engineers to guide technical evaluations and move customers from evaluation into production.
Develop a strong command of customer needs, the competitive landscape, and Deepgram's products, and articulate the value clearly to technical audiences.
Maintain accurate pipeline hygiene and forecasting.
Bring the voice of the customer back to Deepgram, feeding product feedback and market insight to the team.
YOU'LL LOVE THIS ROLE IF YOU
Are energized by building early and want to help shape how Deepgram sells in India.
Take pride in building your own pipeline and owning a deal from first touch to close.
Are at home selling to technical buyers and can hold your own on the substance of the product.
Enjoy running both direct and partner co-sell motions.
Think in terms of landing a logo and growing it, not just closing once.
Are passionate about Deepgram's mission and what voice AI makes possible.
IT'S IMPORTANT TO US THAT YOU HAVE
A track record as a full-cycle Account Executive: building pipeline from scratch, running technical deals, and consistently overachieving against target. We expect this typically means 5 or more years of quota-carrying experience, but we hire at varying levels of seniority and encourage strong candidates to apply.
Experience selling products with real technical depth, such as APIs, developer tools, or platforms evaluated on their merits by engineering buyers.
Experience selling in the Indian market, to both technical and business buyers.
Comfort running both a direct motion and a partner or co-sell motion.
A land-and-expand mindset, with a history of growing accounts after the initial win.
Strong communication and follow-up, and the discipline to run a consistent, repeatable sales process.
A history of stable tenure and clear progression across your roles.
IT WOULD BE GREAT IF YOU HAD
Experience selling voice AI, speech, AI/ML, developer tools, or infrastructure.
Experience co-selling through systems integrators or hyperscaler partners.
Familiarity with a modern sales methodology such as Challenger.
Experience in a high-growth or early-stage environment.
If the idea of building Deepgram's business in India excites you, we'd like to hear from you.
BENEFITS & PERKS
We offer best-in-class benefits, localized to your market. This includes comprehensive health coverage, generous paid time off, paid parental leave, meaningful learning and development support, and stipends to help you do your best work. Specific benefits are administered locally and governed by country-specific regulations.
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!
Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nIndia is one of the world's largest and fastest-growing technology markets, and Deepgram is already seeing strong demand here. Joining at the earliest stage of Deepgram's presence in the market, you will turn that demand into revenue: owning a territory end to end, winning new logos across the market, and growing them over time. You will help shape how Deepgram sells in India rather than inheriting a finished playbook.\n\nYou will sell across the full spectrum of the market, from fast-moving tech companies to large enterprises, and you will run both a direct motion and a co-sell motion alongside our partners. This is a role for a full-cycle seller who is at home with technical buyers and energized by building something early.\n\nWHO YOU ARE\n\nYou are a full-cycle Account Executive who builds your own pipeline and closes it. You are comfortable selling a product with real technical depth, holding your own with engineers, architects, and technical decision-makers, and translating what the product does into clear business value. You know how to land a new logo and grow it, and you are as comfortable working a partner co-sell as you are running a direct deal.\n\nYou do your best work in a build environment where the playbook is still forming, priorities move quickly, and your input shapes how the team sells. You are organized, self-directed, and relentless about following up.\n\nWHAT YOU'LL DO\n\n - Own a territory end to end: generate pipeline, run full-cycle deals, and carry a new-business and expansion number.\n\n - Build your own pipeline through self-prospecting, and work with SDRs and Marketing to grow pipeline and build Deepgram's presence in the market, including representing Deepgram at key developer and industry events.\n\n - Run both motions: sell directly, and co-sell with systems integrators and hyperscaler partners.\n\n - Sell across the full spectrum of the market, from fast-moving tech companies to large enterprises, engaging both technical and business buyers.\n\n - Land new logos and expand them over time, growing accounts through adoption and new use cases.\n\n - Work closely with Field Engineers to guide technical evaluations and move customers from evaluation into production.\n\n - Develop a strong command of customer needs, the competitive landscape, and Deepgram's products, and articulate the value clearly to technical audiences.\n\n - Maintain accurate pipeline hygiene and forecasting.\n\n - Bring the voice of the customer back to Deepgram, feeding product feedback and market insight to the team.\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are energized by building early and want to help shape how Deepgram sells in India.\n\n - Take pride in building your own pipeline and owning a deal from first touch to close.\n\n - Are at home selling to technical buyers and can hold your own on the substance of the product.\n\n - Enjoy running both direct and partner co-sell motions.\n\n - Think in terms of landing a logo and growing it, not just closing once.\n\n - Are passionate about Deepgram's mission and what voice AI makes possible.\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - A track record as a full-cycle Account Executive: building pipeline from scratch, running technical deals, and consistently overachieving against target. We expect this typically means 5 or more years of quota-carrying experience, but we hire at varying levels of seniority and encourage strong candidates to apply.\n\n - Experience selling products with real technical depth, such as APIs, developer tools, or platforms evaluated on their merits by engineering buyers.\n\n - Experience selling in the Indian market, to both technical and business buyers.\n\n - Comfort running both a direct motion and a partner or co-sell motion.\n\n - A land-and-expand mindset, with a history of growing accounts after the initial win.\n\n - Strong communication and follow-up, and the discipline to run a consistent, repeatable sales process.\n\n - A history of stable tenure and clear progression across your roles.\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience selling voice AI, speech, AI/ML, developer tools, or infrastructure.\n\n - Experience co-selling through systems integrators or hyperscaler partners.\n\n - Familiarity with a modern sales methodology such as Challenger.\n\n - Experience in a high-growth or early-stage environment.\n\nIf the idea of building Deepgram's business in India excites you, we'd like to hear from you.\n\nBENEFITS & PERKS\n\nWe offer best-in-class benefits, localized to your market. This includes comprehensive health coverage, generous paid time off, paid parental leave, meaningful learning and development support, and stipends to help you do your best work. Specific benefits are administered locally and governed by country-specific regulations.\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"4e779ee8-43bd-4cb0-9d14-b1645da0ea15","title":"Revenue Operations Analyst (London)","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"London, UK","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-20T16:30:54.257+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"England","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/4e779ee8-43bd-4cb0-9d14-b1645da0ea15","applyUrl":"https://jobs.ashbyhq.com/deepgram/4e779ee8-43bd-4cb0-9d14-b1645da0ea15/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Based in London with strong overlap to customer business hours.
Excellent written and spoken English. Additional European languages are a plus.
Deepgram is hiring a Revenue Operations Analyst to help build and operate the systems, data, and workflows that power our GTM organization.
This is a hands-on role for someone who likes getting into the details: fixing broken workflows, improving data quality, supporting quote-to-cash and usage-based billing processes, and finding ways to automate repetitive work. You’ll work closely with GTM Engineering, Finance, Sales, Customer Success, and Renewals to make our commercial systems more reliable, scalable, and efficient.
Support and improve quote-to-cash workflows, including CPQ, order forms, contract changes, subscriptions, entitlements, and downstream system updates.
Partner with Finance and GTM Engineering on usage, billing, and monetization workflows, including reconciliation across CRM, product, billing, and finance systems.
Serve as a hands-on Salesforce and GTM systems operator, building reports, dashboards, flows, automations, and system enhancements.
Maintain strong data quality and governance across accounts, opportunities, contracts, usage, renewals, and customer records.
Troubleshoot and resolve GTM systems and process issues, identifying root causes rather than relying on manual workarounds.
Identify repetitive or high-friction workflows and help build automation and AI-enabled solutions to reduce manual effort.
Support the systems and reporting used to operationalize forecasting, routing, territory, quota, and commission decisions.
Partner with the Director, GTM Engineering on system requirements, testing, implementation, documentation, and ongoing optimization.
Help create scalable operating processes as Deepgram grows, while staying close to the day-to-day work that surfaces where systems need to improve.
3–4+ years of experience in Revenue Operations, GTM Systems, Sales Operations, Business Systems, or a related role.
Strong hands-on Salesforce experience, including reporting, flows, automation, and data management.
Experience working across CRM, CPQ, billing, contract, or other GTM systems.
Strong analytical and problem-solving skills with high attention to detail.
A track record of improving workflows, not just executing existing processes.
Comfort using AI and automation tools to reduce manual work and improve operations.
Ability to work cross-functionally across GTM, Finance, and technical teams.
Experience in a usage-based or consumption-based business.
Experience with CPQ and contract-generation tools.
Familiarity with billing or metering systems.
SQL or experience working with GTM/customer data.
Experience with tools such as Claude, Cursor, n8n, Workato, Retool, or similar automation environments.
Experience in a high-growth SaaS or AI company.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nNOTE: THIS ROLE IS BASED REMOTELY OUT OF LONDON, UK.\n\n \n\n\nREGIONAL EXPECTATIONS\n\n - Based in London with strong overlap to customer business hours.\n\n - Excellent written and spoken English. Additional European languages are a plus.\n\n\n\n\nTHE OPPORTUNITY\n\nDeepgram is hiring a Revenue Operations Analyst to help build and operate the systems, data, and workflows that power our GTM organization.\n\nThis is a hands-on role for someone who likes getting into the details: fixing broken workflows, improving data quality, supporting quote-to-cash and usage-based billing processes, and finding ways to automate repetitive work. You’ll work closely with GTM Engineering, Finance, Sales, Customer Success, and Renewals to make our commercial systems more reliable, scalable, and efficient.\n\n\n\n\nWHAT YOU’LL DO\n\n - Support and improve quote-to-cash workflows, including CPQ, order forms, contract changes, subscriptions, entitlements, and downstream system updates.\n\n - Partner with Finance and GTM Engineering on usage, billing, and monetization workflows, including reconciliation across CRM, product, billing, and finance systems.\n\n - Serve as a hands-on Salesforce and GTM systems operator, building reports, dashboards, flows, automations, and system enhancements.\n\n - Maintain strong data quality and governance across accounts, opportunities, contracts, usage, renewals, and customer records.\n\n - Troubleshoot and resolve GTM systems and process issues, identifying root causes rather than relying on manual workarounds.\n\n - Identify repetitive or high-friction workflows and help build automation and AI-enabled solutions to reduce manual effort.\n\n - Support the systems and reporting used to operationalize forecasting, routing, territory, quota, and commission decisions.\n\n - Partner with the Director, GTM Engineering on system requirements, testing, implementation, documentation, and ongoing optimization.\n\n - Help create scalable operating processes as Deepgram grows, while staying close to the day-to-day work that surfaces where systems need to improve.\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - 3–4+ years of experience in Revenue Operations, GTM Systems, Sales Operations, Business Systems, or a related role.\n\n - Strong hands-on Salesforce experience, including reporting, flows, automation, and data management.\n\n - Experience working across CRM, CPQ, billing, contract, or other GTM systems.\n\n - Strong analytical and problem-solving skills with high attention to detail.\n\n - A track record of improving workflows, not just executing existing processes.\n\n - Comfort using AI and automation tools to reduce manual work and improve operations.\n\n - Ability to work cross-functionally across GTM, Finance, and technical teams.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience in a usage-based or consumption-based business.\n\n - Experience with CPQ and contract-generation tools.\n\n - Familiarity with billing or metering systems.\n\n - SQL or experience working with GTM/customer data.\n\n - Experience with tools such as Claude, Cursor, n8n, Workato, Retool, or similar automation environments.\n\n - Experience in a high-growth SaaS or AI company.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"£67K – £83K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"£67K - £83K","compensationTiers":[{"id":"6aa12a49-d87d-4f66-956b-4e73e453a863","tierSummary":"Estimated Base Salary £67K – £83K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"99a991bb-a6fd-474f-8c23-c631da74a309","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"GBP","minValue":null,"maxValue":null},{"id":"070c84f8-c8ab-47a4-bf25-22ff1c61e481","summary":"Estimated Base Salary £67K – £83K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"GBP","minValue":67000,"maxValue":83000},{"id":"be18298d-d392-4c4a-9331-59bc3dddb313","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"GBP","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"GBP","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"GBP","minValue":67000,"maxValue":83000},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"GBP","minValue":null,"maxValue":null}]}},{"id":"30210b62-73aa-417c-b2cf-0929c565a00a","title":"Sales Development Representative (India)","department":"Sales - SDR","team":"Sales - SDR","employmentType":"FullTime","location":"India","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-19T13:16:56.876+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"India"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/30210b62-73aa-417c-b2cf-0929c565a00a","applyUrl":"https://jobs.ashbyhq.com/deepgram/30210b62-73aa-417c-b2cf-0929c565a00a/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is looking for an Inbound & Outbound Sales Development Representative to drive new customers and revenue to our rapidly growing company. You will create sales opportunities for Deepgram as you share our mission with CTOs, VPs of Product, and CEOs. You are a critical component in Deepgram’s Revenue organization and will play a pivotal role in growing our top-line revenue to new heights!
What You'll Do
Work with our Partnerships team, Account Executives, and your fellow SDRs to build a strong sales pipeline of new logos, striving to exceed quarterly sales targets
Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness
Have a depth of understanding regarding customer needs in the ASR space, competition, and Deepgram products to be able to fully articulate our value proposition
Research companies to find new speech recognition use cases and opportunities in the market
You’ll Love This Role If You
Value having leadership that has tenure and a track record of success
Thrive working with A Players as cross-functional partners across GTM
Understand the importance of selling a product that is market validated and can deliver on its technical promise
Are passionate about what Deepgram is building and how we are changing what is possible with speech
Are eager to launch your sales career towards enterprise sales
It’s Important to Us That You Have
1+ year of customer-facing work experience in SaaS
Prior sales experience selling a technical product
Dynamic written and verbal communication skills
Empathy and a unique ability to understand customer needs
Exceptional at prioritizing complex outreach schedules and managing high-frequency touchpoints
It Would Be Great If You Had
Experience prospecting companies that fit an ideal customer profile and understanding their business
Consistently overachieved against sales targets in past experiences
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is looking for an Inbound & Outbound Sales Development Representative to drive new customers and revenue to our rapidly growing company. You will create sales opportunities for Deepgram as you share our mission with CTOs, VPs of Product, and CEOs. You are a critical component in Deepgram’s Revenue organization and will play a pivotal role in growing our top-line revenue to new heights!\n\n \n\nWhat You'll Do\n\n - Work with our Partnerships team, Account Executives, and your fellow SDRs to build a strong sales pipeline of new logos, striving to exceed quarterly sales targets\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the ASR space, competition, and Deepgram products to be able to fully articulate our value proposition\n\n - Research companies to find new speech recognition use cases and opportunities in the market\n\n\nYou’ll Love This Role If You\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n - Are eager to launch your sales career towards enterprise sales\n\n\nIt’s Important to Us That You Have\n\n - 1+ year of customer-facing work experience in SaaS\n\n - Prior sales experience selling a technical product\n\n - Dynamic written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Exceptional at prioritizing complex outreach schedules and managing high-frequency touchpoints \n\n\nIt Would Be Great If You Had\n\n - Experience prospecting companies that fit an ideal customer profile and understanding their business\n\n - Consistently overachieved against sales targets in past experiences\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"1140ca2e-0b17-4262-8c1b-a3eb156086dc","title":"Account Executive (German Speaking)","department":"Sales - AE","team":"Sales - AE","employmentType":"FullTime","location":"Switzerland","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-19T14:28:32.649+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/deepgram/1140ca2e-0b17-4262-8c1b-a3eb156086dc","applyUrl":"https://jobs.ashbyhq.com/deepgram/1140ca2e-0b17-4262-8c1b-a3eb156086dc/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Based in an EMEA time zone with strong overlap to customer business hours.
Excellent written and spoken English. Additional European languages are a strong plus.
Native-level or full professional fluency in German (written and spoken), with the ability to conduct complex sales conversations and negotiations.
Deepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company, specifically in the German markets. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!
Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings
Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness
Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers
Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing
Value having leadership that has tenure and a track record of success
Thrive working with A Players as cross-functional partners across GTM
Understand the importance of selling a product that is market validated and can deliver on its technical promise
Believe there should be no cap to upside and want control of account up-sell potential
Are passionate about what Deepgram is building and how we are changing what is possible with speech
Proven experience in a technical full-cycle sales role
Experience building your own pipeline from scratch and closing accounts
Consistent overachievement against sales targets in past experiences
Strong written and verbal communication skills
Empathy and a unique ability to understand customer needs
Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time
Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.
It Would Be Great If You Had
Familiarity with Challenger or Triangle sales methodology
Experience selling to a technical audience in a similar space
Experience selling developer tools, infrastructure, or AI/ML technologies.
Fluency in German, French, Dutch, or other major regional languages.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nNOTE: THIS ROLE IS BASED OUT OF THE EMEA TERRITORY, SPECIFICALLY SWITZERLAND/ZURICH/GENEVA.\n\n \n\n\nREGIONAL EXPECTATIONS\n\n - Based in an EMEA time zone with strong overlap to customer business hours.\n\n - Excellent written and spoken English. Additional European languages are a strong plus.\n\n \n\n\nGERMAN LANGUAGE EXPECTATIONS\n\n - Native-level or full professional fluency in German (written and spoken), with the ability to conduct complex sales conversations and negotiations.\n\n \n\n\nOPPORTUNITY\n\nDeepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company, specifically in the German markets. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!\n\n \n\n\nWHAT YOU'LL DO\n\n - Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers\n\n - Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Believe there should be no cap to upside and want control of account up-sell potential\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Proven experience in a technical full-cycle sales role\n\n - Experience building your own pipeline from scratch and closing accounts\n\n - Consistent overachievement against sales targets in past experiences\n\n - Strong written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time\n\n - Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.\n\n - It Would Be Great If You Had\n\n - Familiarity with Challenger or Triangle sales methodology\n\n - Experience selling to a technical audience in a similar space\n\n - Experience selling developer tools, infrastructure, or AI/ML technologies.\n\n - Fluency in German, French, Dutch, or other major regional languages.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"e8b2cd20-bd98-4977-b9a9-cfa6868cc122","title":"Director, GTM Engineering","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-20T17:02:53.248+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/e8b2cd20-bd98-4977-b9a9-cfa6868cc122","applyUrl":"https://jobs.ashbyhq.com/deepgram/e8b2cd20-bd98-4977-b9a9-cfa6868cc122/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is hiring a Director, GTM Engineering to own the systems, data, automation, and technical infrastructure that power our go-to-market organization.
This role sits at the intersection of GTM, Product, Engineering, and Finance and supports the full commercial lifecycle — from pre-sales and pipeline through contracting, usage, renewal, and expansion. You’ll own our GTM technology ecosystem as an internal product, translating business problems into scalable systems, workflows, data, and AI-powered solutions.
This is a builder-leader role. We need someone who can set the architecture and roadmap while staying close enough to the work to diagnose problems, prototype solutions, write requirements, interrogate data, and ship. You’ll start with a small team and build leverage through better systems and automation before defaulting to additional headcount.
Own the GTM technology ecosystem across CRM, CPQ, forecasting tooling, data infrastructure, integrations, automation, and internal tooling.
Serve as the technical product leader for GTM systems and Engineering’s primary GTM counterpart, turning business problems into clear requirements, roadmap priorities, and scalable solutions.
Establish engineering standards for GTM systems and automation, including security, governance, testing, observability, access controls, documentation, and safe production deployment.
Build AI-native workflows and internal tools that reduce manual work and improve pipeline management, forecasting, deal execution, renewals, reporting, and decision-making.
Design automation with a simple, auditable, and secure-first approach, breaking workflows into discrete steps and deliberately determining where deterministic automation, AI, or human judgment is appropriate.
Build the systems and data foundation that connects the commercial lifecycle, creating a reliable operating view across pipeline, bookings, contracts, product usage, customer activity, renewals, and expansion.
Partner closely with Head of Data Intelligence to build a shared, well-governed data foundation for GTM, including consistent data models, metadata, definitions, and trusted sources that support both human and AI-driven decision-making.
Own the technical infrastructure behind forecasting and GTM execution, including CRM workflows, data quality, reporting, routing, and the systems used to operationalize approved territory, quota, commission, and capacity plans.
Lead GTM partnership on usage, metering, and billing, helping define requirements, evaluate build-vs-buy decisions, and implement systems connecting product usage, pricing, contracts, billing, and revenue.
Lead the GTM Engineering function as a player-coach, developing a small team while staying close to the work and using automation before defaulting to additional headcount.
Experience building and leading GTM Engineering, RevOps, Sales Ops, Business Systems, or a similar technical GTM function.
Professional software engineering experience with demonstrated ability to write, review, debug, and maintain production-quality code independent of AI-assisted development tools.
A track record of personally designing, coding, testing, and shipping production systems, integrations, automations, agents or internal tools.
Strong understanding of software architecture, APIs, security, governance, testing, observability, access controls, and production engineering practices.
Deep hands-on experience with CRM, CPQ, APIs, integrations, workflow automation, and commercial data.
Experience building AI-powered workflows that replace or materially reduce manual work.
Strong product instincts and\tthe ability to turn ambiguous business problems into buildable solutions.
Technical credibility with Product and Engineering and strong communication with GTM leaders.
Experience partnering with Data or Analytics Engineering teams on data modeling, governance, metadata, and shared data infrastructure.
Strong understanding of pipeline, forecasting, quote-to-cash, and customer lifecycle data.
Comfortable operating as a hands-on player-coach with a small team.
Experience in a usage-based or consumption-based business, especially metering and billing infrastructure.
Experience with Salesforce, CPQ/billing platforms, SQL, and GTM data pipelines.
Experience with AI-assisted development tools such as Claude Code, Cursor, to accelerate professional software engineering workflows, alongside automation platforms such as n8n, Workato, or Retool.
Experience scaling GTM systems through rapid growth or multi-product expansion.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is hiring a Director, GTM Engineering to own the systems, data, automation, and technical infrastructure that power our go-to-market organization.\n\nThis role sits at the intersection of GTM, Product, Engineering, and Finance and supports the full commercial lifecycle — from pre-sales and pipeline through contracting, usage, renewal, and expansion. You’ll own our GTM technology ecosystem as an internal product, translating business problems into scalable systems, workflows, data, and AI-powered solutions.\n\nThis is a builder-leader role. We need someone who can set the architecture and roadmap while staying close enough to the work to diagnose problems, prototype solutions, write requirements, interrogate data, and ship. You’ll start with a small team and build leverage through better systems and automation before defaulting to additional headcount.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own the GTM technology ecosystem across CRM, CPQ, forecasting tooling, data infrastructure, integrations, automation, and internal tooling.\n\n - Serve as the technical product leader for GTM systems and Engineering’s primary GTM counterpart, turning business problems into clear requirements, roadmap priorities, and scalable solutions.\n\n - Establish engineering standards for GTM systems and automation, including security, governance, testing, observability, access controls, documentation, and safe production deployment.\n\n - Build AI-native workflows and internal tools that reduce manual work and improve pipeline management, forecasting, deal execution, renewals, reporting, and decision-making.\n\n - Design automation with a simple, auditable, and secure-first approach, breaking workflows into discrete steps and deliberately determining where deterministic automation, AI, or human judgment is appropriate.\n\n - Build the systems and data foundation that connects the commercial lifecycle, creating a reliable operating view across pipeline, bookings, contracts, product usage, customer activity, renewals, and expansion.\n\n - Partner closely with Head of Data Intelligence to build a shared, well-governed data foundation for GTM, including consistent data models, metadata, definitions, and trusted sources that support both human and AI-driven decision-making.\n\n - Own the technical infrastructure behind forecasting and GTM execution, including CRM workflows, data quality, reporting, routing, and the systems used to operationalize approved territory, quota, commission, and capacity plans.\n\n - Lead GTM partnership on usage, metering, and billing, helping define requirements, evaluate build-vs-buy decisions, and implement systems connecting product usage, pricing, contracts, billing, and revenue.\n\n - Lead the GTM Engineering function as a player-coach, developing a small team while staying close to the work and using automation before defaulting to additional headcount.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - Experience building and leading GTM Engineering, RevOps, Sales Ops, Business Systems, or a similar technical GTM function.\n\n - Professional software engineering experience with demonstrated ability to write, review, debug, and maintain production-quality code independent of AI-assisted development tools.\n\n - A track record of personally designing, coding, testing, and shipping production systems, integrations, automations, agents or internal tools.\n\n - Strong understanding of software architecture, APIs, security, governance, testing, observability, access controls, and production engineering practices.\n\n - Deep hands-on experience with CRM, CPQ, APIs, integrations, workflow automation, and commercial data.\n\n - Experience building AI-powered workflows that replace or materially reduce manual work.\n\n - Strong product instincts and the ability to turn ambiguous business problems into buildable solutions.\n\n - Technical credibility with Product and Engineering and strong communication with GTM leaders.\n\n - Experience partnering with Data or Analytics Engineering teams on data modeling, governance, metadata, and shared data infrastructure.\n\n - Strong understanding of pipeline, forecasting, quote-to-cash, and customer lifecycle data.\n\n - Comfortable operating as a hands-on player-coach with a small team.\n\n\nWOULD BE GREAT IF YOU HAD\n\n - Experience in a usage-based or consumption-based business, especially metering and billing infrastructure.\n\n - Experience with Salesforce, CPQ/billing platforms, SQL, and GTM data pipelines.\n\n - Experience with AI-assisted development tools such as Claude Code, Cursor, to accelerate professional software engineering workflows, alongside automation platforms such as n8n, Workato, or Retool.\n\n - Experience scaling GTM systems through rapid growth or multi-product expansion.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$200K – $275K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$200K - $275K","compensationTiers":[{"id":"1d00e1b7-3987-4ad1-a674-63e71de2d670","tierSummary":"San Francisco, NYC & Seattle $225K – $275K • Offers Equity • Offers Bonus","title":"San Francisco, NYC & Seattle","additionalInformation":null,"components":[{"id":"ec61bb9f-862f-40ba-9a43-3b1ab569a53c","summary":"San Francisco, NYC & Seattle $225K – $275K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":225000,"maxValue":275000},{"id":"9c40c545-d5c3-4a0a-b86c-eeb2b66cd1b7","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"097509d8-8b6e-4225-aece-b1baba3661e0","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]},{"id":"31364ecd-8940-4bd9-9ab2-95e858ac6835","tierSummary":"Everywhere else in the U.S. $200K – $245K • Offers Equity • Offers Bonus","title":"Everywhere else in the U.S.","additionalInformation":null,"components":[{"id":"b97a73a9-076d-444d-b1a1-26ff5dfbaecb","summary":"Everywhere else in the U.S. $200K – $245K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":245000},{"id":"b3623db2-2a10-4ad2-8388-3b753a1d23b6","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"7ba0baff-4b2e-4959-b2ab-a427038f1887","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"minValue":200000,"maxValue":275000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"},{"compensationType":"EquityCashValue","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"}]}},{"id":"4caace1a-beb8-43bc-a69a-4952e6214af7","title":"Staff Sales Engineer, Voice AI","department":"Sales - AE","team":"Sales - AE","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-20T19:35:31.082+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/4caace1a-beb8-43bc-a69a-4952e6214af7","applyUrl":"https://jobs.ashbyhq.com/deepgram/4caace1a-beb8-43bc-a69a-4952e6214af7/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Enterprises are moving fast from transcribing conversations to automating them. Contact centers, healthcare, financial services and consumer brands are putting voice agents in front of their customers. The buyers range from CX leaders to platform engineers, and the deals turn on latency, reliability, cost per minute and whether the agent holds up in production.
Deepgram is hiring a Staff Sales Engineer, Voice Agent to drive adoption of our Voice Agent platform globally. You’ll work alongside every Account Executive on the team as the technical lead on voice agent deals, and you’ll carry a quota for new Voice Agent logos and ARR. Most of your time is spent in front of customers: positioning Deepgram in discovery, winning the technical evaluation and getting customers to production. You report to the VP of Sales.
Win voice agent deals. Lead discovery, technical qualification, architecture and proofs of concept for Voice Agent opportunities, and own the technical win from first call through production.
Be the expert in the room. Whiteboard how a customer's telephony stack (SIP trunks, PBX, CCaaS) connects to their voice agents and where Deepgram fits. Go deep on latency, turn-taking, interruption handling, function calling, cost per minute and build vs. buy.
Build what sells. Ship demos, reference agents and integration patterns across LLMs, telephony/SIP, CCaaS platforms and orchestration frameworks that AEs and customers can use on day one.
Carry the number. Own a quota tied to Voice Agent growth and run your pipeline and forecast with discipline.
Make the team better. Create the positioning, competitive battlecards, objection handling and enablement that let every AE sell Voice Agent with confidence, even when you are not on the call.
Bring the field into Product. Turn patterns from deals into clear, evidence-backed requirements for our API, SDKs and docs.
Work the ecosystem. Partner with CCaaS, telephony and LLM partners to build joint solutions and co-sell plays.
7+ years in customer-facing technical roles such as solutions engineering, sales engineering, solutions architecture or forward-deployed engineering, ideally at an API, CPaaS, CCaaS or conversational AI company.
Hands-on voice agent experience across the stack: telephony (SIP, WebRTC, PBX or CCaaS integration), orchestration (LLM agent frameworks, tool calling, real-time streaming pipelines) and models (STT, TTS, LLMs).
You build. You've shipped demos, POCs or production integrations in Python, Node.js or similar, and you can show us something you've built.
A track record in revenue-tied roles. You've been measured on technical wins, pipeline or quota, and you consistently hit your targets.
Comfort leading complex, multi-stakeholder enterprise deals with everyone from platform engineers to CX executives.
Clear communication. You can walk an engineer through a SIP call flow and a VP through a cost-per-minute business case in the same meeting.
Voice agents built on frameworks or platforms like Pipecat, LiveKit, Vapi, Retell or OpenAI Realtime
Contact center domain experience (Genesys, NICE, Five9, Amazon Connect, Talkdesk or similar)
Experience carrying an individual or overlay quota
Hands-on work with MCP servers, agent harnesses or CLI tools, or open-source contributions with real adoption
Familiarity with Challenger or a similar sales methodology
Experience selling across both self-serve and enterprise motions
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\n\n\n\nTHE OPPORTUNITY\n\nEnterprises are moving fast from transcribing conversations to automating them. Contact centers, healthcare, financial services and consumer brands are putting voice agents in front of their customers. The buyers range from CX leaders to platform engineers, and the deals turn on latency, reliability, cost per minute and whether the agent holds up in production.\n\nDeepgram is hiring a Staff Sales Engineer, Voice Agent to drive adoption of our Voice Agent platform globally. You’ll work alongside every Account Executive on the team as the technical lead on voice agent deals, and you’ll carry a quota for new Voice Agent logos and ARR. Most of your time is spent in front of customers: positioning Deepgram in discovery, winning the technical evaluation and getting customers to production. You report to the VP of Sales.\n\n\nWHAT YOU'LL DO\n\n - Win voice agent deals. Lead discovery, technical qualification, architecture and proofs of concept for Voice Agent opportunities, and own the technical win from first call through production.\n\n - Be the expert in the room. Whiteboard how a customer's telephony stack (SIP trunks, PBX, CCaaS) connects to their voice agents and where Deepgram fits. Go deep on latency, turn-taking, interruption handling, function calling, cost per minute and build vs. buy.\n\n - Build what sells. Ship demos, reference agents and integration patterns across LLMs, telephony/SIP, CCaaS platforms and orchestration frameworks that AEs and customers can use on day one.\n\n - Carry the number. Own a quota tied to Voice Agent growth and run your pipeline and forecast with discipline.\n\n - Make the team better. Create the positioning, competitive battlecards, objection handling and enablement that let every AE sell Voice Agent with confidence, even when you are not on the call.\n\n - Bring the field into Product. Turn patterns from deals into clear, evidence-backed requirements for our API, SDKs and docs.\n\n - Work the ecosystem. Partner with CCaaS, telephony and LLM partners to build joint solutions and co-sell plays.\n\n\nWHAT YOU BRING\n\n - 7+ years in customer-facing technical roles such as solutions engineering, sales engineering, solutions architecture or forward-deployed engineering, ideally at an API, CPaaS, CCaaS or conversational AI company.\n\n - Hands-on voice agent experience across the stack: telephony (SIP, WebRTC, PBX or CCaaS integration), orchestration (LLM agent frameworks, tool calling, real-time streaming pipelines) and models (STT, TTS, LLMs).\n\n - You build. You've shipped demos, POCs or production integrations in Python, Node.js or similar, and you can show us something you've built.\n\n - A track record in revenue-tied roles. You've been measured on technical wins, pipeline or quota, and you consistently hit your targets.\n\n - Comfort leading complex, multi-stakeholder enterprise deals with everyone from platform engineers to CX executives.\n\n - Clear communication. You can walk an engineer through a SIP call flow and a VP through a cost-per-minute business case in the same meeting.\n\n\nNICE TO HAVE\n\n - Voice agents built on frameworks or platforms like Pipecat, LiveKit, Vapi, Retell or OpenAI Realtime\n\n - Contact center domain experience (Genesys, NICE, Five9, Amazon Connect, Talkdesk or similar)\n\n - Experience carrying an individual or overlay quota\n\n - Hands-on work with MCP servers, agent harnesses or CLI tools, or open-source contributions with real adoption\n\n - Familiarity with Challenger or a similar sales methodology\n\n - Experience selling across both self-serve and enterprise motions\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$185K – $230K • Offers Equity • Offers Commission","scrapeableCompensationSalarySummary":"$185K - $230K","compensationTiers":[{"id":"62c40a88-1441-486f-b9c5-f163232a2a2b","tierSummary":"OTE 270k-330k $185K – $230K • Offers Equity • Offers Commission","title":null,"additionalInformation":null,"components":[{"id":"5c584a3e-5fcf-4b92-838b-72af46625105","summary":"OTE 270k-330k $185K – $230K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":185000,"maxValue":230000},{"id":"33df21eb-161d-4abe-9fab-0138588a2104","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"aaa61bc9-9363-4a9f-a156-1e2d84520733","summary":"Offers Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":185000,"maxValue":230000},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"f428c615-65e8-4d4d-84dd-ba0da64f1a9b","title":"Marketing & GTM Data Analyst","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-24T00:52:04.987+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/f428c615-65e8-4d4d-84dd-ba0da64f1a9b","applyUrl":"https://jobs.ashbyhq.com/deepgram/f428c615-65e8-4d4d-84dd-ba0da64f1a9b/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Marketing Operations keeps Deepgram's go-to-market engine measurable. As our first Marketing & GTM Data Analyst, you'll build the reporting and analytics function rather than inherit a finished one, and own the answer to what's working and where to invest next. You'll partner with the Director of Marketing Operations on the weekly GTM report leadership reads, and with our Decision Intelligence and Data Engineering teams on AI analytics agents and the GTM data foundation. Your work will power Marketing, Product, SDR, AE, Partnerships, and RevOps.
Automate recurring GTM analytics with Decision Intelligence, designing and improving AI agents for weekly reporting, campaign and sales play readouts, scoring-model checks, and anomaly alerts, as the GTM expert who writes evaluation cases and QAs their output.
Own Marketing and GTM KPI definitions, calculation logic, and the weekly report leadership reads, with a clear narrative on what changed and why.
Measure marketing campaigns and SDR/AE sales plays from first touch through closed-won, using pre/post and cohort analysis to say what to scale, fix, or stop.
Create reusable campaign and sales play reporting templates with consistent definitions, time windows, and attribution rules, structured so AI agents can generate first drafts.
Own Dreamdata and evolve our attribution practices (multi-touch, sourcing rules, SDR credit, partner attribution), reconcile them with Salesforce and HubSpot, and turn attribution into budget recommendations.
Evaluate and improve MQL, PQL, and account intent scoring models, with automated monitoring of precision, coverage, and conversion lift by score.
Define and report partner and business development performance, including partner-sourced and influenced pipeline, co-marketing results, and performance by tier.
Define GTM source-of-truth datasets with Data Engineering and Decision Intelligence, write the semantic context AI analytics agents rely on, and drive data quality fixes upstream.
Turns vague or complex requests (\"did re:Invent work?\", \"why is pipeline soft?\") into clear, answerable questions before touching data, and pushes back constructively when the question is wrong.
Understands the B2B funnel (MQL, SAL, SQL, Closed Won) and how marketing, product-led, partner, SDR, and AE motions interact, and explains why the numbers look the way they do.
Writes strong SQL directly in a warehouse and across Salesforce objects (Leads, Contacts, Campaigns, Campaign Members, Opportunities, custom objects).
Reconciles messy data across systems, holds a high bar for what counts as right, and fixes problems at the source rather than patching downstream.
Has owned or improved a multi-touch attribution setup and reconciled it with CRM data.
Evaluates or tunes lead, PQL, or account scoring models and measures whether they improve conversion.
Operates AI-native: builds AI agents or agentic workflows for analytics (e.g., Claude Code, MCP servers, n8n), automates recurring analysis, and writes the evaluation cases and context agents need to be accurate.
Builds dashboards and recurring reports in a BI tool that people rely on and act on, with a narrative sized for leadership.
Owns KPI definitions so the same number means the same thing everywhere.
Typically ~3–5 years in marketing analytics, GTM or revenue analytics, or a similar analytical role at a B2B SaaS company, or equivalent demonstrated experience.
Hands-on with Dreamdata, HockeyStack, Bizible, or a similar attribution tool, plus HubSpot and Salesforce reporting.
Python, and experience with dbt, semantic layers, or metric stores.
Worked with intent data or partner attribution.
Experience at a usage-based, developer-focused, or product-led business.
Be You — bring your whole self and a different perspective; diverse viewpoints make our products better.
Be Curious — challenge the status quo, keep learning, and ask 'how might we?' instead of accepting limits.
Grow Together — push each other to do great work, treat feedback as a gift, and leave the drama out.
Do the Right Thing — act with integrity and candor, assume best intent, choose ethics over expediency.
Think Smart. Act Fast. — weigh the high-leverage options, decide, and move; no analysis paralysis.
Put the Customer First — listen with empathy, understand their goals, and let their success drive ours.
We know the confidence gap and imposter syndrome can get in the way of meeting great candidates — so please don't hesitate to apply. We'd love to hear from you.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTEAM OVERVIEW\n\nMarketing Operations keeps Deepgram's go-to-market engine measurable. As our first Marketing & GTM Data Analyst, you'll build the reporting and analytics function rather than inherit a finished one, and own the answer to what's working and where to invest next. You'll partner with the Director of Marketing Operations on the weekly GTM report leadership reads, and with our Decision Intelligence and Data Engineering teams on AI analytics agents and the GTM data foundation. Your work will power Marketing, Product, SDR, AE, Partnerships, and RevOps.\n\n\n\n\nKEY GOALS\n\n - Automate recurring GTM analytics with Decision Intelligence, designing and improving AI agents for weekly reporting, campaign and sales play readouts, scoring-model checks, and anomaly alerts, as the GTM expert who writes evaluation cases and QAs their output.\n\n - Own Marketing and GTM KPI definitions, calculation logic, and the weekly report leadership reads, with a clear narrative on what changed and why.\n\n - Measure marketing campaigns and SDR/AE sales plays from first touch through closed-won, using pre/post and cohort analysis to say what to scale, fix, or stop.\n\n - Create reusable campaign and sales play reporting templates with consistent definitions, time windows, and attribution rules, structured so AI agents can generate first drafts.\n\n - Own Dreamdata and evolve our attribution practices (multi-touch, sourcing rules, SDR credit, partner attribution), reconcile them with Salesforce and HubSpot, and turn attribution into budget recommendations.\n\n - Evaluate and improve MQL, PQL, and account intent scoring models, with automated monitoring of precision, coverage, and conversion lift by score.\n\n - Define and report partner and business development performance, including partner-sourced and influenced pipeline, co-marketing results, and performance by tier.\n\n - Define GTM source-of-truth datasets with Data Engineering and Decision Intelligence, write the semantic context AI analytics agents rely on, and drive data quality fixes upstream.\n\n\nMINIMUM SKILLS, KNOWLEDGE & CAPABILITIES\n\n - Turns vague or complex requests (\"did re:Invent work?\", \"why is pipeline soft?\") into clear, answerable questions before touching data, and pushes back constructively when the question is wrong.\n\n - Understands the B2B funnel (MQL, SAL, SQL, Closed Won) and how marketing, product-led, partner, SDR, and AE motions interact, and explains why the numbers look the way they do.\n\n - Writes strong SQL directly in a warehouse and across Salesforce objects (Leads, Contacts, Campaigns, Campaign Members, Opportunities, custom objects).\n\n - Reconciles messy data across systems, holds a high bar for what counts as right, and fixes problems at the source rather than patching downstream.\n\n - Has owned or improved a multi-touch attribution setup and reconciled it with CRM data.\n\n - Evaluates or tunes lead, PQL, or account scoring models and measures whether they improve conversion.\n\n - Operates AI-native: builds AI agents or agentic workflows for analytics (e.g., Claude Code, MCP servers, n8n), automates recurring analysis, and writes the evaluation cases and context agents need to be accurate.\n\n - Builds dashboards and recurring reports in a BI tool that people rely on and act on, with a narrative sized for leadership.\n\n - Owns KPI definitions so the same number means the same thing everywhere.\n\n\nPREFERRED QUALIFICATIONS (NICE-TO-HAVE, NOT REQUIRED)\n\n - Typically ~3–5 years in marketing analytics, GTM or revenue analytics, or a similar analytical role at a B2B SaaS company, or equivalent demonstrated experience.\n\n - Hands-on with Dreamdata, HockeyStack, Bizible, or a similar attribution tool, plus HubSpot and Salesforce reporting.\n\n - Python, and experience with dbt, semantic layers, or metric stores.\n\n - Worked with intent data or partner attribution.\n\n - Experience at a usage-based, developer-focused, or product-led business.\n\n\nOUR VALUES\n\n - Be You — bring your whole self and a different perspective; diverse viewpoints make our products better.\n\n - Be Curious — challenge the status quo, keep learning, and ask 'how might we?' instead of accepting limits.\n\n - Grow Together — push each other to do great work, treat feedback as a gift, and leave the drama out.\n\n - Do the Right Thing — act with integrity and candor, assume best intent, choose ethics over expediency.\n\n - Think Smart. Act Fast. — weigh the high-leverage options, decide, and move; no analysis paralysis.\n\n - Put the Customer First — listen with empathy, understand their goals, and let their success drive ours.\n\n\n\nWe know the confidence gap and imposter syndrome can get in the way of meeting great candidates — so please don't hesitate to apply. We'd love to hear from you.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$115K – $148K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$115K - $148K","compensationTiers":[{"id":"76cb6897-d9a0-4ef3-9a5c-661077685e26","tierSummary":"San Francisco, NYC & Seattle $120K – $148K • Offers Equity • Offers Bonus","title":"San Francisco, NYC & Seattle","additionalInformation":null,"components":[{"id":"97a325f3-725f-4430-a05d-021c825cd32b","summary":"San Francisco, NYC & Seattle $120K – $148K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":148000},{"id":"0a313333-548f-4c88-928a-9e46f2ab8e93","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"a48af8c2-df27-43c9-807d-f9c94e25e03c","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]},{"id":"588fcfec-821a-4ef9-a515-de7acf9add5c","tierSummary":"Everywhere else in the U.S. $115K – $135K • Offers Equity • Offers Bonus","title":"Everywhere else in the U.S.","additionalInformation":null,"components":[{"id":"5b5651ce-b045-4b23-8d01-b2fbe476decc","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"950a6e5a-9526-42a7-b752-bdcb6db15c4d","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"ba964fb1-efbd-4707-ae7f-16903052cba1","summary":"Everywhere else in the U.S. $115K – $135K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":115000,"maxValue":135000}]}],"summaryComponents":[{"minValue":115000,"maxValue":148000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"EquityCashValue","minValue":null,"maxValue":null,"interval":"1 YEAR"}]}},{"id":"1aa2d74f-ca29-4652-8fb2-4c23dad6380b","title":"Senior Manager, Events & Field Marketing","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-24T00:46:23.218+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/1aa2d74f-ca29-4652-8fb2-4c23dad6380b","applyUrl":"https://jobs.ashbyhq.com/deepgram/1aa2d74f-ca29-4652-8fb2-4c23dad6380b/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Events and field marketing are Deepgram's largest demand generation investment, and this role owns North America. Reporting to the Director of Demand Gen, you'll run 20+ trade shows and conferences each year, partner co-hosted programs, and field programs with Sales, splitting your time between flagship brand moments and programs that move target accounts. You'll help set event strategy with marketing leadership and work closely with regional sales leaders, Product Marketing, alliances, Demand Generation, SDRs, and Marketing Operations. The role starts as a senior individual contributor, with room to grow a team.
Run the North America trade show and sponsorship portfolio end to end, from turnkey kiosks to flagship presences at AWS re:Invent and Dreamforce, including budget, MDF and partner co-op funding, contracts, and vendors.
Help set event strategy, the annual plan, and the calendar for third-party and hosted events with marketing leadership, backed by data on budget, investment tiering, and portfolio mix.
Equip Sales, alliances, and Demand Generation before and after marquee events so they invite the right accounts and turn attendance into pipeline, expansion, and retention.
Keep every event on product messaging and the voice of the customer, timed to product launches and sales priorities.
Design and run field programs with regional sales leaders, such as executive dinners, roadshows, customer events, and account-based plays against named target accounts.
Co-host events with hyperscaler, CCaaS, and voice AI partners like AWS, Twilio, Five9, and NVIDIA, so Deepgram shows up where their customers already are.
Concept and deliver brand activations at competitor-heavy shows, from stadium takeovers to interactive demos and hosted moments.
Close the loop on every program with same-day lead logging, a fast-follow SLA with Sales, clean SDR routing, and a standard post-event scorecard tied to pipeline and cost per opportunity.
Grow Deepgram Speak as a first-party event series and support community programming in our SF and NYC offices.
Has run flagship presences at large-scale shows (re:Invent, Dreamforce, or similar) end to end: contracting, booth, logistics, staffing, speakers, and lead capture.
Owns both trade shows and field programs hands-on, and treats regional sales leaders as core partners.
Shapes an annual event plan, not only executes one: makes tiering and portfolio calls with data and can explain what to cut and why.
Ties event and field activity to sourced and influenced pipeline in Salesforce, working with Marketing Ops on campaign setup, attribution, and lead routing.
Analyzes funnel metrics and event ROI, and presents clear recommendations to executive and sales leadership.
Manages program budgets, negotiates vendor contracts, and holds agencies to quality and timelines.
Takes an original creative concept from sketch to a fully produced experience.
Operates AI-native: builds AI and automation workflows that cut manual work in planning, logistics, comms, and reporting, and turns them into playbooks others adopt.
Flags risks and opportunities early and keeps many stakeholders aligned through clear communication.
Typically ~7–10 years in B2B events and/or field marketing, or equivalent demonstrated experience.
Managed a 7-figure annual program budget.
Co-marketed events with hyperscalers (AWS especially) or channel partners, including MDF management.
Hands-on with modern event tech: registration platforms, lead retrieval, meeting booking tools, mobile event apps, and CRM/MAP integrations.
Background at AI, developer tools, API, or infrastructure companies, or familiarity with CX/contact center, healthcare, or fintech buyer communities.
Be You — bring your whole self and a different perspective; diverse viewpoints make our products better.
Be Curious — challenge the status quo, keep learning, and ask 'how might we?' instead of accepting limits.
Grow Together — push each other to do great work, treat feedback as a gift, and leave the drama out.
Do the Right Thing — act with integrity and candor, assume best intent, choose ethics over expediency.
Think Smart. Act Fast. — weigh the high-leverage options, decide, and move; no analysis paralysis.
Put the Customer First — listen with empathy, understand their goals, and let their success drive ours.
We know the confidence gap and imposter syndrome can get in the way of meeting great candidates — so please don't hesitate to apply. We'd love to hear from you.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTEAM OVERVIEW\n\nEvents and field marketing are Deepgram's largest demand generation investment, and this role owns North America. Reporting to the Director of Demand Gen, you'll run 20+ trade shows and conferences each year, partner co-hosted programs, and field programs with Sales, splitting your time between flagship brand moments and programs that move target accounts. You'll help set event strategy with marketing leadership and work closely with regional sales leaders, Product Marketing, alliances, Demand Generation, SDRs, and Marketing Operations. The role starts as a senior individual contributor, with room to grow a team.\n\n\n\n\nKEY GOALS\n\n - Run the North America trade show and sponsorship portfolio end to end, from turnkey kiosks to flagship presences at AWS re:Invent and Dreamforce, including budget, MDF and partner co-op funding, contracts, and vendors.\n\n - Help set event strategy, the annual plan, and the calendar for third-party and hosted events with marketing leadership, backed by data on budget, investment tiering, and portfolio mix.\n\n - Equip Sales, alliances, and Demand Generation before and after marquee events so they invite the right accounts and turn attendance into pipeline, expansion, and retention.\n\n - Keep every event on product messaging and the voice of the customer, timed to product launches and sales priorities.\n\n - Design and run field programs with regional sales leaders, such as executive dinners, roadshows, customer events, and account-based plays against named target accounts.\n\n - Co-host events with hyperscaler, CCaaS, and voice AI partners like AWS, Twilio, Five9, and NVIDIA, so Deepgram shows up where their customers already are.\n\n - Concept and deliver brand activations at competitor-heavy shows, from stadium takeovers to interactive demos and hosted moments.\n\n - Close the loop on every program with same-day lead logging, a fast-follow SLA with Sales, clean SDR routing, and a standard post-event scorecard tied to pipeline and cost per opportunity.\n\n - Grow Deepgram Speak as a first-party event series and support community programming in our SF and NYC offices.\n\n\nMINIMUM SKILLS, KNOWLEDGE & CAPABILITIES\n\n - Has run flagship presences at large-scale shows (re:Invent, Dreamforce, or similar) end to end: contracting, booth, logistics, staffing, speakers, and lead capture.\n\n - Owns both trade shows and field programs hands-on, and treats regional sales leaders as core partners.\n\n - Shapes an annual event plan, not only executes one: makes tiering and portfolio calls with data and can explain what to cut and why.\n\n - Ties event and field activity to sourced and influenced pipeline in Salesforce, working with Marketing Ops on campaign setup, attribution, and lead routing.\n\n - Analyzes funnel metrics and event ROI, and presents clear recommendations to executive and sales leadership.\n\n - Manages program budgets, negotiates vendor contracts, and holds agencies to quality and timelines.\n\n - Takes an original creative concept from sketch to a fully produced experience.\n\n - Operates AI-native: builds AI and automation workflows that cut manual work in planning, logistics, comms, and reporting, and turns them into playbooks others adopt.\n\n - Flags risks and opportunities early and keeps many stakeholders aligned through clear communication.\n\n\nPREFERRED QUALIFICATIONS (NICE-TO-HAVE, NOT REQUIRED)\n\n - Typically ~7–10 years in B2B events and/or field marketing, or equivalent demonstrated experience.\n\n - Managed a 7-figure annual program budget.\n\n - Co-marketed events with hyperscalers (AWS especially) or channel partners, including MDF management.\n\n - Hands-on with modern event tech: registration platforms, lead retrieval, meeting booking tools, mobile event apps, and CRM/MAP integrations.\n\n - Background at AI, developer tools, API, or infrastructure companies, or familiarity with CX/contact center, healthcare, or fintech buyer communities.\n\n\nOUR VALUES\n\n - Be You — bring your whole self and a different perspective; diverse viewpoints make our products better.\n\n - Be Curious — challenge the status quo, keep learning, and ask 'how might we?' instead of accepting limits.\n\n - Grow Together — push each other to do great work, treat feedback as a gift, and leave the drama out.\n\n - Do the Right Thing — act with integrity and candor, assume best intent, choose ethics over expediency.\n\n - Think Smart. Act Fast. — weigh the high-leverage options, decide, and move; no analysis paralysis.\n\n - Put the Customer First — listen with empathy, understand their goals, and let their success drive ours.\n\n\n\nWe know the confidence gap and imposter syndrome can get in the way of meeting great candidates — so please don't hesitate to apply. We'd love to hear from you.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$160K – $210K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$160K - $210K","compensationTiers":[{"id":"d6f32a0e-3749-428e-9bc0-608bf574b83a","tierSummary":"San Francisco, NYC & Seattle $170K – $210K • Offers Equity • Offers Bonus","title":"San Francisco, NYC & Seattle","additionalInformation":null,"components":[{"id":"4c314bf3-69e2-4803-bf9f-ac0c9e6ba41e","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"99204321-1d5c-4979-9d3a-f44bf4ad32d4","summary":"San Francisco, NYC & Seattle $170K – $210K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":210000},{"id":"c0ce748e-2979-4698-ae67-03812bc33578","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]},{"id":"d9d92fea-2699-46c5-b798-5ba0d427c7e0","tierSummary":"Everywhere else in the U.S. $160K – $195K • Offers Equity • Offers Bonus","title":"Everywhere else in the U.S.","additionalInformation":null,"components":[{"id":"7d0c75e6-5367-4d2d-addb-a75aea8bf2a2","summary":"Everywhere else in the U.S. $160K – $195K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":195000},{"id":"cac1bc25-410f-4049-89f9-bc60a95c86dc","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"df9baf2d-1120-4094-a0c7-47c76d7312d4","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"minValue":160000,"maxValue":210000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"},{"compensationType":"EquityCashValue","minValue":null,"maxValue":null,"interval":"1 YEAR"}]}},{"id":"77d4c84e-e1e6-444b-8cbd-0d34a7235639","title":"Senior Manager, Deal Desk","department":"Finance","team":"Finance","employmentType":"FullTime","location":"USA - Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-29T22:16:33.291+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/77d4c84e-e1e6-444b-8cbd-0d34a7235639","applyUrl":"https://jobs.ashbyhq.com/deepgram/77d4c84e-e1e6-444b-8cbd-0d34a7235639/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is hiring a Senior Manager, Deal Desk to build our deal desk from the ground up and run it. Deepgram is a usage-based voice AI platform (speech-to-text, text-to-speech and the Voice Agent API), sold through self-serve plans, enterprise commitments and cloud marketplaces. You'll report to the Chief Accounting Officer and work daily with leaders in Sales, Customer Success, Product and Finance.
The desk is not a control function. Its job is to help Sales win better deals faster, at prices we can defend.
What you'll do
Build the desk: approval matrix, pre-approved playbook, and credit and promo guidelines, so most deals need no approval.
Run it day to day: review non-standard deals and give same-day answers.
Shape large deals early: commitment size, ramps, product mix and terms.
Partner with Product and sales leadership on pricing and packaging.
Build pricing insight: deal margin, realized discount, and win rate by discount band.
Keep deals clean and audit-ready, with approvals and terms recorded in Salesforce.
Use AI to run the desk: an agent does the first-pass review; you make the call and improve the rules.
Build out CPQ in Salesforce so the playbook and approvals live in the quote.
Partner with Customer Success on renewals at first, then take ownership of renewals as the desk matures.
What you'll need
6+ years in deal desk, deal strategy or pricing at a B2B technology company, with 3+ running a desk.
Usage-based pricing experience: commitments, credits, overage, ramps and rollover.
A desk, matrix or playbook you built that sales adopted.
Financial fluency, including how deal terms affect revenue recognition.
Hands-on experience building Salesforce CPQ, plus SQL.
Credibility with sales executives, clear writing, and an AI-native way of working you can show.
Nice to have
Infrastructure, API or AI company experience.
Pre-IPO experience.
Cloud marketplace private offers (AWS, GCP, Azure).
Has owned or run renewals.
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is hiring a Senior Manager, Deal Desk to build our deal desk from the ground up and run it. Deepgram is a usage-based voice AI platform (speech-to-text, text-to-speech and the Voice Agent API), sold through self-serve plans, enterprise commitments and cloud marketplaces. You'll report to the Chief Accounting Officer and work daily with leaders in Sales, Customer Success, Product and Finance.\n\n\n\nThe desk is not a control function. Its job is to help Sales win better deals faster, at prices we can defend.\n\n\n\nWhat you'll do\n\n - Build the desk: approval matrix, pre-approved playbook, and credit and promo guidelines, so most deals need no approval.\n\n - Run it day to day: review non-standard deals and give same-day answers.\n\n - Shape large deals early: commitment size, ramps, product mix and terms.\n\n - Partner with Product and sales leadership on pricing and packaging.\n\n - Build pricing insight: deal margin, realized discount, and win rate by discount band.\n\n - Keep deals clean and audit-ready, with approvals and terms recorded in Salesforce.\n\n - Use AI to run the desk: an agent does the first-pass review; you make the call and improve the rules.\n\n - Build out CPQ in Salesforce so the playbook and approvals live in the quote.\n\n - Partner with Customer Success on renewals at first, then take ownership of renewals as the desk matures.\n\n\n\nWhat you'll need\n\n - 6+ years in deal desk, deal strategy or pricing at a B2B technology company, with 3+ running a desk.\n\n - Usage-based pricing experience: commitments, credits, overage, ramps and rollover.\n\n - A desk, matrix or playbook you built that sales adopted.\n\n - Financial fluency, including how deal terms affect revenue recognition.\n\n - Hands-on experience building Salesforce CPQ, plus SQL.\n\n - Credibility with sales executives, clear writing, and an AI-native way of working you can show.\n\n\n\nNice to have\n\n - Infrastructure, API or AI company experience.\n\n - Pre-IPO experience.\n\n - Cloud marketplace private offers (AWS, GCP, Azure).\n\n - Has owned or run renewals.\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":"$168K – $206K","scrapeableCompensationSalarySummary":"$168K - $206K","compensationTiers":[{"id":"ce16ed02-9154-4f9e-b0a4-b937db0b29b7","tierSummary":"$168K – $206K","title":null,"additionalInformation":null,"components":[{"id":"fd28cae7-01cf-4e8b-a591-e3943b10d4ac","summary":"$168K – $206K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":168000,"maxValue":206000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":168000,"maxValue":206000},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":120000},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":15000}]}},{"id":"dd71e31d-2b22-4e9b-8f24-bdd221ea13fa","title":"Research Staff, LLMs [EMEA - Remote]","department":"Research","team":"Research","employmentType":"FullTime","location":"EMEA - Remote","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-11-02T16:13:20.032+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":""}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/dd71e31d-2b22-4e9b-8f24-bdd221ea13fa","applyUrl":"https://jobs.ashbyhq.com/deepgram/dd71e31d-2b22-4e9b-8f24-bdd221ea13fa/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.
Deepgram is currently looking for an experienced researcher to who has worked extensively with Large Language Models (LLMS) and has a deep understanding of transformer architecture to join our Research Staff. As a Member of the Research Staff, this individual should have extensive experience working on the hard technical aspects of LLMs, such as data curation, distributed large-scale training, optimization of transformer architecture, and Reinforcement Learning (RL) training.
We are seeking researchers who:
See \"unsolved\" problems as opportunities to pioneer entirely new approaches
Can identify the one critical experiment that will validate or kill an idea in days, not months
Have the vision to scale successful proofs-of-concept 100x
Are obsessed with using AI to automate and amplify your own impact
If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.
Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives
Broad surveying of literature, evaluating, classifying, and distilling current methods
Designing and carrying out experimental programs for LLMs
Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production
Documenting and presenting results and complex technical concepts clearly for a target audience
Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products
Are passionate about AI and excited about working on state of the art LLM research
Have an interest in producing and applying new science to help us develop and deploy large language models
Enjoy building from the ground up and love to create new systems.
Have strong communication skills and are able to translate complex concepts clearly
Are highly analytical and enjoy delving into detailed analyses when necessary
3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism
Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning
Strong experience coding in Python and working with Pytorch
Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)
Experience with distributed computing and large-scale data processing
Prior experience in conducting experimental programs and using results to optimize models
Deep understanding of transformers, causal LMs, and their underlying architecture
Understanding of distributed training and distributed inference schemes for LLMs
Familiarity with RLHF labeling and training pipelines
Up-to-date knowledge of recent LLM techniques and developments
We are seeking researchers who:
See \"unsolved\" problems as opportunities to pioneer entirely new approaches
Can identify the one critical experiment that will validate or kill an idea in days, not months
Have the vision to scale successful proofs-of-concept 100x
Are obsessed with using AI to automate and amplify your own impact
If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.
Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives
Broad surveying of literature, evaluating, classifying, and distilling current methods
Designing and carrying out experimental programs for LLMs
Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production
Documenting and presenting results and complex technical concepts clearly for a target audience
Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products
Are passionate about AI and excited about working on state of the art LLM research
Have an interest in producing and applying new science to help us develop and deploy large language models
Enjoy building from the ground up and love to create new systems.
Have strong communication skills and are able to translate complex concepts clearly
Are highly analytical and enjoy delving into detailed analyses when necessary
3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism
Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning
Strong experience coding in Python and working with Pytorch
Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)
Experience with distributed computing and large-scale data processing
Prior experience in conducting experimental programs and using results to optimize models
Deep understanding of transformers, causal LMs, and their underlying architecture
Understanding of distributed training and distributed inference schemes for LLMs
Familiarity with RLHF labeling and training pipelines
Up-to-date knowledge of recent LLM techniques and developments
Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks
Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks
Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
","descriptionPlain":"COMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.\n\n\n\nTHE ROLE\n\nDeepgram is currently looking for an experienced researcher to who has worked extensively with Large Language Models (LLMS) and has a deep understanding of transformer architecture to join our Research Staff. As a Member of the Research Staff, this individual should have extensive experience working on the hard technical aspects of LLMs, such as data curation, distributed large-scale training, optimization of transformer architecture, and Reinforcement Learning (RL) training.\n\n\n\n\nTHE CHALLENGE\n\nWe are seeking researchers who:\n\n - See \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\n - Can identify the one critical experiment that will validate or kill an idea in days, not months\n\n - Have the vision to scale successful proofs-of-concept 100x\n\n - Are obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\n\n\n\n\nWHAT YOU'LL DO\n\n - Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives\n\n - Broad surveying of literature, evaluating, classifying, and distilling current methods\n\n - Designing and carrying out experimental programs for LLMs\n\n - Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production\n\n - Documenting and presenting results and complex technical concepts clearly for a target audience\n\n - Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products\n\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are passionate about AI and excited about working on state of the art LLM research\n\n - Have an interest in producing and applying new science to help us develop and deploy large language models\n\n - Enjoy building from the ground up and love to create new systems.\n\n - Have strong communication skills and are able to translate complex concepts clearly\n\n - Are highly analytical and enjoy delving into detailed analyses when necessary\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism\n\n - Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning\n\n - Strong experience coding in Python and working with Pytorch\n\n - Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)\n\n - Experience with distributed computing and large-scale data processing\n\n - Prior experience in conducting experimental programs and using results to optimize models\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Deep understanding of transformers, causal LMs, and their underlying architecture\n\n - Understanding of distributed training and distributed inference schemes for LLMs\n\n - Familiarity with RLHF labeling and training pipelines\n\n - Up-to-date knowledge of recent LLM techniques and developments\n\n\nTHE CHALLENGE\n\nWe are seeking researchers who:\n\n - See \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\n - Can identify the one critical experiment that will validate or kill an idea in days, not months\n\n - Have the vision to scale successful proofs-of-concept 100x\n\n - Are obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\n\n\n\n\nWHAT YOU'LL DO\n\n - Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives\n\n - Broad surveying of literature, evaluating, classifying, and distilling current methods\n\n - Designing and carrying out experimental programs for LLMs\n\n - Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production\n\n - Documenting and presenting results and complex technical concepts clearly for a target audience\n\n - Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products\n\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are passionate about AI and excited about working on state of the art LLM research\n\n - Have an interest in producing and applying new science to help us develop and deploy large language models\n\n - Enjoy building from the ground up and love to create new systems.\n\n - Have strong communication skills and are able to translate complex concepts clearly\n\n - Are highly analytical and enjoy delving into detailed analyses when necessary\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism\n\n - Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning\n\n - Strong experience coding in Python and working with Pytorch\n\n - Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)\n\n - Experience with distributed computing and large-scale data processing\n\n - Prior experience in conducting experimental programs and using results to optimize models\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Deep understanding of transformers, causal LMs, and their underlying architecture\n\n - Understanding of distributed training and distributed inference schemes for LLMs\n\n - Familiarity with RLHF labeling and training pipelines\n\n - Up-to-date knowledge of recent LLM techniques and developments\n\n - Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks\n\n\n\n - Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks\n\n\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}}],"apiVersion":"1"}