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 seeking a Pre-Sales Solutions Engineer to join our Applied Engineering team. While you'll have the opportunity to contribute across the team's various responsibilities (including pre-sales, implementation, and customer support), your primary focus will be driving technical pre-sales engagements with our prospects, customers, and partners. In this role, you will be the technical authority who bridges the gap between our state-of-the-art AI speech technology and customer business needs. You'll collaborate closely with our sales team to craft compelling technical solutions, provide technical validation, build proof-of-concepts, and demonstrate the value of our platform to technical decision makers. Your deep engineering expertise combined with consultative sales skills will be crucial in navigating complex sales cycles and establishing Deepgram as the preferred Voice AI partner. As a member of the Applied Engineering team, you'll influence the team’s vision, product strategy based on market insights, and contribute to the evolution of our pre-sales methodology.
About Applied Engineering at Deepgram
The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey. We work closely with our Customer Success and Developer Experience (DX) 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 an Applied Engineer, you'll be primarily focused on the pre-sales aspects of this journey while having opportunities to contribute to the full customer lifecycle.
This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions
What You’ll Do
Lead technical discovery and solution design for enterprise prospects and customers
Architect and implement custom proof-of-concepts and technical demonstrations that address specific customer use cases
Provide expert guidance on API integration, performance optimization, and deployment strategies
Partner with Account Executives to navigate technical objections and accelerate the sales cycle
Contribute to technical content creation including implementation guides, reference architectures, and best practices
Mentor junior team members and share technical knowledge across the organization
Represent the voice of the customer to product and engineering teams
Your First 90 Days
First 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Shadow senior team members on customer calls and begin building technical demos. Gain proficiency with our core APIs and documentation.
60 Days: Lead technical discovery calls with account executives, and develop custom proof-of-concepts for prospects. Begin contributing to technical content. Participate in sales strategy sessions and provide technical insights to deals in progress.
90 Days: Own the technical relationship with assigned accounts. Develop and present complex solutions addressing specific customer challenges. Begin mentoring newer team members and contributing to the pre-sales methodology.
You’ll Love This Role If You
Are passionate about translating complex technical capabilities into business value
Thrive in consultative customer environments where you can showcase your technical expertise
Enjoy the strategic aspects of enterprise sales cycles while maintaining technical credibility
Find satisfaction in seeing your technical solutions drive customer adoption and success
Are energized by staying at the forefront of AI and speech technology
It’s Important To Us That You Have
5+ years of experience in technical pre-sales, solutions architecture, or similar customer-facing technical roles
Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, or similar languages
Proven track record of successfully navigating complex technical sales cycles
Experience building and demonstrating proof-of-concepts or technical solutions to diverse audiences
Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders
It Would Be Great if You Had
Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies
Experience building customer-facing demos and sample code
Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)
Experience with API-first products and developer tools
Background in sales methodologies such as Triangle, MEDDIC, or Solution Selling
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!
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
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
This job description was generated in two parts. The “Opportunity”, “Role”, and “Challenge” sections were generated by a human using Claude-3.5-sonnet as a writing partner. The objective of these sections is to clearly state the problem that Deepgram is attempting to solve, how we intend to solve it, and some guidelines to help you decide if Deepgram is right for you. Therefore, it is important that this section was articulated by a human.
The “It’s Important to Us” section was automatically derived from a multi-stage LLM analysis (using o1) of key foundational deep learning papers related to our research goals. This work was completed as an experiment to test the hypothesis that traits of highly productive and impactful researchers are reflected directly in their work. The analysis focused on understanding how successful researchers approach problems, from mathematical foundations through to practical deployment. The problems Deepgram aims to solve are immensely difficult and span multiple disciplines and specialties. As such, we chose seminal papers that we believe reflect the pioneering work and exemplary human characteristics needed for success. The LLM analysis culminates in an “Ideal Researcher Profile”, which is reproduced below along with the list of foundational papers.
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)
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
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 seeking a talented, support-focused Solutions Architect (Applied Engineer) to join our Applied Engineering (AppEng) team. In this role, you will directly engage with customers to solve complex technical challenges while simultaneously building scalable solutions that enhance our support infrastructure. You'll own complete customer engagements in a post-sales capacity, and occasionally assist with pre-sales and implementation projects as needed. Your strong engineering background will enable you to resolve sophisticated technical issues, create repeatable solutions, and develop automation that allows the broader AppEng team to focus on high-impact pre-sales activities. This position offers an excellent path to grow into broader implementation and pre-sales roles while making an immediate impact on our customer support experience. As a key member of the Applied Engineering team, you'll influence our customer support strategy, and play a crucial role in ensuring our customers receive exceptional technical assistance throughout their journey with Deepgram.
About Applied Engineering at Deepgram
The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, 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 Experience (DX) teams to ensure a positive, growth-focused experience for our customers. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers. As a support-focused Applied Engineer, you'll be primarily concerned with elevating our technical support capabilities while having opportunities to contribute to the broader Applied Engineering mission in pre-sales, implementation, and more.
What You'll Do
Own complete post-sales customer engagements, providing direct technical guidance and solutions
Lead the technical resolution of complex customer support issues, serving as an escalation point for challenging technical problems
Design and implement systematic improvements to our support process and infrastructure
Create automated solutions and self-service tools that address common customer challenges
Analyze support ticket patterns to identify product improvement opportunities and preventative measures
Develop technical documentation, guides, and best practices that enable customers to self-solve issues
Collaborate with product and engineering teams to advocate for customer needs and influence roadmap priorities
Partner with the broader Applied Engineering team to share knowledge and balance support workload
Occasionally assist with implementation projects and pre-sales activities as needed
Time Allocation
50% - Direct customer engagement and technical problem solving
30% - Building automation and scalable support solutions
10% - Developing documentation and self-service resources
10% - Contributing to broader Applied Engineering initiatives and pre-sales activities
You'll Love This Role If You
Enjoy direct customer interaction and solving complex technical challenges
Are passionate about creating scalable solutions that enhance customer experiences
Find satisfaction in improving systems and processes to increase efficiency
Have a talent for identifying patterns and translating them into actionable improvements
Are energized by opportunities to apply engineering principles to customer-facing challenges
See technical support as a strategic function that drives customer satisfaction and retention
It's Important To Us That You Have
3+ years of experience in technical support, solutions engineering, or similar customer-facing technical roles
Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, Rust, C/C++, or similar languages
Experience developing automation solutions and improving technical processes
Proven ability to troubleshoot complex technical issues in production environments
Excellent written and verbal communication skills with the ability to explain technical concepts clearly
It Would Be Great if You Had
Experience with speech recognition, NLP, or related AI technologies
Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)
Experience with API-first products and developer tools
Background in support automation techniques and tools
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 Corporate 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
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 seasoned Data Scientists with demonstrated experience solving hard data problems while exploring research frontiers to join our Research Staff. Conversational audio presents incredibly rich scientific, engineering, and infrastructure challenges that are orders of magnitude harder than working with text. As a Member of the Research Staff, you will help us to build an industrial “data factory” that will be used to power the next generation of Voice AI systems - unlocking the creation of models that go beyond basic transcription and comprehension, capturing nuanced meanings in complex conversations, adapting robustly to diverse speech patterns, and generating empathic responses with human-like, contextualized speech. You will collaborate closely with our product, engineering, and data teams to build and deploy models in the most scalable voice API on the planet. We look forward to you bringing your expertise, sharing insights from your latest experiments, and collaborating with us to push the boundaries of AI and voice technology.
We are seeking Research Staff 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.
Drive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation models
Develop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning models
Collaborate with DataOps and Engineering to create automated systems which scale the ability of human annotators to label high value data and provide critical feedback on model outputs
Build advanced benchmarking methodologies and curated datasets for evaluating conversational voice systems
Document and present results of data experiments and analysis for internal and external audiences
Are obsessed with making sense out of complex and/or messy data
Enjoy building from the ground up and love to create new systems from scratch
Are passionate about AI and interested in leveraging data to solve hard problems
Are motivated by the prospect of scaling yourself using automation and AI models
Experience building data processing pipelines from a blank page and owning the entire data stack including data acquisition, characterization, cleaning, serving and transformation
Experience and expertise applying statistical methods and deep learning models to understand complex data
Strong communication skills and the ability to translate complex concepts in simple terms, depending on the target audience
Strong software engineering skills with particular emphasis on developing clean, modular code in Python and working with Pytorch
Background in Physics, Mechanical Engineering or Language Processing
Experience building models
Speech and audio experience
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
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.
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
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!
","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\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!","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"1278975c-e0d8-45be-82dd-8d0d1f2774e5","title":"Senior Pre-Sales Solutions Engineer - India","department":"Engineering","team":"Applied Engineering","employmentType":"FullTime","location":"APAC | Remote","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-03-19T00:49:22.415+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"India"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/1278975c-e0d8-45be-82dd-8d0d1f2774e5","applyUrl":"https://jobs.ashbyhq.com/deepgram/1278975c-e0d8-45be-82dd-8d0d1f2774e5/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 India 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 India 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 an APAC time zone 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, especially Japanese, Korean, Mandarin, or Hindi.
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!
","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 India 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 India 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 an APAC time zone 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, especially Japanese, Korean, Mandarin, or Hindi.\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!","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"64895340-1377-4b40-b182-1ec6b9644997","title":"Senior Solutions Architect - India","department":"Engineering","team":"Applied Engineering","employmentType":"FullTime","location":"APAC | Remote","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-03-19T00:47:33.678+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"India"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/64895340-1377-4b40-b182-1ec6b9644997","applyUrl":"https://jobs.ashbyhq.com/deepgram/64895340-1377-4b40-b182-1ec6b9644997/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 India and will service the APAC region.
Deepgram is expanding across APAC and operating a true follow-the-sun model. We are hiring a Solutions Architect in India to own complex post-sales engagements, guide customers to production, and strengthen 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 what many 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 speech-to-text (STT), text-to-speech (TTS), and voice agent (VA) 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 APAC 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 and languages.
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 APAC time zone with reliable overlap to customer business hours across East Asia, Southeast Asia, and ANZ.
Excellent written and spoken English. Additional Asian languages are a strong plus, especially Japanese, Korean, Mandarin, or Hindi.
Familiarity with data privacy and enterprise security reviews common across APAC, for example Singapore PDPA, Japan APPI, Korea PIPA, Australia’s Privacy Act, and India’s DPDP Act.
Ability to travel within the region for critical customer milestones, estimated 10 to 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 relevant to APAC environments.
By day 60
Own 2-3 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 with APAC nuances like regional cloud endpoints and data residency.
By day 90
Act as primary technical owner for several APAC 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 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 JavaScript/TypeScript, Python or TypeScript. 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 APAC enterprise reviews.
Fluency in one additional Asian language such as Japanese, Korean, Mandarin, or Hindi.
Remote across APAC with periodic regional meetups.
Collaboration with colleagues in EMEA and the Americas 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.
Short presentation on a customer-facing technical win you led. Explain the problem, your approach, and measurable outcomes.
If this sounds like you, we would love to meet you!
","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 India and will service the APAC region.\n\n\n\n\nTHE OPPORTUNITY\n\nDeepgram is expanding across APAC and operating a true follow-the-sun model. We are hiring a Solutions Architect in India to own complex post-sales engagements, guide customers to production, and strengthen 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 what many 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 WILL DO\n\n - Lead architecture and implementation for enterprise deployments that use Deepgram speech-to-text (STT), text-to-speech (TTS), and voice agent (VA) 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 APAC 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 and languages.\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\n\n\nREGIONAL EXPECTATIONS\n\n - Based in an APAC time zone with reliable 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, especially Japanese, Korean, Mandarin, or Hindi.\n\n - Familiarity with data privacy and enterprise security reviews common across APAC, for example Singapore PDPA, Japan APPI, Korea PIPA, Australia’s Privacy Act, and India’s DPDP Act.\n\n - Ability to travel within the region for critical customer milestones, estimated 10 to 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 relevant to APAC environments.\n\nBy day 60\n\nOwn 2-3 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 with APAC nuances like regional cloud endpoints and data residency.\n\nBy day 90\n\nAct as primary technical owner for several APAC 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 WILL THRIVE HERE IF YOU\n\n - Enjoy solving hard customer problems at the code, container, and cloud layers.\n\n - Like translating 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 JavaScript/TypeScript, Python or TypeScript. 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 APAC enterprise reviews.\n\n - Fluency in one additional Asian language such as Japanese, Korean, Mandarin, or Hindi.\n\n\nHOW WE WORK\n\n - Remote across APAC with periodic regional meetups.\n\n - Collaboration with colleagues in EMEA and the Americas 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 - Short presentation on a customer-facing technical win you led. Explain the problem, your approach, and measurable outcomes.\n\nIf this sounds like you, we would love to meet you!","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"8a010608-6239-42ca-81de-c01139153eb2","title":"Partner Success Engineer","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"USA | Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-24T23:58:42.185+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/8a010608-6239-42ca-81de-c01139153eb2","applyUrl":"https://jobs.ashbyhq.com/deepgram/8a010608-6239-42ca-81de-c01139153eb2/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 partners, product, and growth. We don’t just “manage accounts.” We make Deepgram succeed inside our partners’ 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 Partner Success Engineer is a hands-on customer success representative who drives joint adoption, solves hard technical problems, uncovers expansion, and owns a portfolio of strategic technology and business partners end to end.
You’re not a traditional CSM, Technical Account Manager or Partner 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 partners deploy AI-driven solutions. No coding required, but you’re fluent in APIs, developer workflows, and real technical conversations.
Strategic partner management — you build trust from individual developers up to CTOs, own the full partner lifecycle, and turn technical adoption into channel growth across multi-party commercial relationships.
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 Partner Manager, Channel Manager, Technical Account Manager, Solutions or Sales Engineer, Implementation Engineer, strategic CSM, or Support Engineer. 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 strategic partners, engaging everyone from developers to CIOs and CTOs.
Own the full partner lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.
Drive joint adoption through live demos, workshops, architecture guidance, troubleshooting, and best-practice recommendations — making Deepgram successful inside the partner’s environment.
Run discovery continuously: surface partner problems, understand their business impact, and translate them into actionable requirements for product and engineering.
Identify and scope expansion (cross-sell, upsell, multi-product, co-sell) in partnership with Sales, and lead executive business reviews and joint planning sessions.
Act as the voice of the partner internally — influencing roadmap, GTM strategy, and the tools we build to support partners.
Track adoption, usage, health, and expansion to drive outcomes; travel to partner sites as needed.
Operate AI-first by default, and build tools, agents, and workflows that eliminate recurring work for you and the broader team. Your impact is measured by the leverage you create, not just the partners you serve.
Significant experience in technical, customer-facing roles — TAM, sales/solutions engineering, partner or enterprise CS with a strong technical focus, implementation, or support — 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 partner or customer ownership with technical depth: solution design, hands-on troubleshooting, and commercial growth.
Hands-on experience running demos, POCs, or technical workshops with enterprise partners or customers — leading them, not just attending.
Demonstrated success identifying and landing expansion in complex enterprise or partner accounts.
Fluency discussing APIs, integrations, and developer workflows, and troubleshooting L1-style issues (no coding required, but genuinely conversant — not hand-waving).
A strong understanding of partner ecosystems and channel business models — resale, referral, integrations, co-marketing, co-selling — and multi-party commercial dynamics.
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.
Telephony / CCaaS / CPaaS background (e.g., Twilio, Genesys) — maps directly to our partner ecosystem.
A background spanning solutions engineering, TAM, or L1 support alongside CS or partner responsibilities.
Familiarity with channel/partner marketing, enablement programs, or technical enablement asset creation.
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.
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.
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.
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.
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
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 Staff Product Analyst to accelerate our evolution from a single-product transcription company to a comprehensive voice AI platform. You'll be the first product analyst on our team, reporting to our VP of Product and partnering directly with product managers and designers to build the measurement infrastructure and experimentation frameworks that help us scale self-serve and product adoption.
As the founding analyst, you'll establish the analytics foundation for our product team—building pipelines, defining frameworks, and creating the systems that help product managers, designers, and engineers make faster, and more impactful decisions. You'll start with a laser focus on our self-serve funnel, driving conversion from signup to first programmatic API/SDK request, knowing that this optimization directly feeds both self-serve revenue and sales-qualified leads. As you establish this foundation, your scope will expand to help identify patterns across our multi-product portfolio and inform strategic investment decisions.
Own the analytics strategy for self-serve growth—design experiments, build measurement infrastructure, and drive insights that increase conversion from signup to first programmatic request
Build robust, repeatable analytics pipelines and dashboards from the ground up using Superset and Heap Analytics
Partner directly with product managers and designers to define success metrics, establish baselines, and instrument products correctly
Design and analyze experiments across the developer journey, with deep understanding of API/SDK adoption patterns
Collaborate with analytics partners in Marketing and Sales to connect product usage signals with acquisition, activation, and downstream sales outcomes, building a holistic view of the end-to-end PLG funnel
Surface patterns in product usage across our growing portfolio to identify high-value use cases, customer segments, and where to double down on investment
Serve as the analytical partner to Product leadership: synthesize insights across multiple products and use cases to identify patterns that inform longer-term product strategy and investment decisions
Establish experimentation best practices and analytical rigor as the team scales PLG motions
Translate complex findings into clear, actionable recommendations that shape product roadmap and investment decisions
Build the analytics muscle for the team—creating frameworks and systems that enable PMs to self-serve insights while you focus on strategic analysis
Have the seniority and leadership to define what \"good\" looks like for product analytics at Deepgram
Get energized by being the first—building systems from scratch and establishing foundational practices
Can balance deep analytical work with strategic pattern recognition across a multi-product portfolio
Have strong opinions on experimentation methodology and PLG measurement, backed by experience
Thrive in ambiguity and can define the right questions to ask, not just answer requests
Love partnering closely with product leadership to shape strategy in real-time
Bring natural customer empathy and curiosity, as well as openness to try new tools/AI workflows to maximize analytics efficiency
Staff-level expertise in product analytics, with proven ability to lead analytics strategy (we care more about expertise and leadership than years of experience)
Demonstrated track record of accelerating self-serve or PLG growth at a previous company, particularly driving conversion in developer-focused products
Strong SQL skills and hands-on experience working directly with data warehouses
Proven ability to build dashboards and analytics infrastructure yourself—you don't need a data engineering team to be effective
Deep experience designing, running, and analyzing experiments with statistical rigor
Understanding of developer behavior and API/SDK adoption patterns—you know what signals matter for programmatic usage
Experience being the first or founding analyst on a team—comfortable building everything from scratch
Leadership presence to establish best practices and mentor PMs on data literacy
Excellent communication skills to translate technical findings into strategic recommendations for executives
Experience with Superset and Heap Analytics (or similar tools like Mixpanel, Amplitude, Looker, Mode)
Background in B2B SaaS with both self-serve and enterprise motions
Understanding of multi-product portfolio dynamics and how to measure cross-product patterns
Experience with usage-based pricing models or real-time streaming data products
Deep knowledge of product instrumentation and event tracking best practices
Expertise in advanced statistical methods beyond basic A/B testing (causal inference, cohort analysis, time-series analysis)
Experience working in voice AI, ML/AI platforms, or developer tools
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.
","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.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"9a030b32-d671-43e0-a221-4653bb73ba29","title":"Research Engineer, Machine Learning Systems","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, MI","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Ann Arbor, MI"}}}],"publishedAt":"2026-04-23T15:43:51.953+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"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.
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 seeking a highly skilled and versatile Machine Learning Engineer to join our Research team. As a Member of the Research Staff, you will partner with research scientists to prototype and validate novel modeling ideas, then scale them through robust training systems for speech technologies, internal tooling, and innovative data strategies. You'll work at the intersection of machine learning, data infrastructure, and internal tooling to support our mission of building world-class speech recognition and synthesis systems. On the Research team, you will experiment with new technologies and techniques, while also working on product-focused deliverables, learning from colleagues with a wide range of expertise in AI and machine learning as you go.
Scalable Model Training: Architect and manage horizontally scalable systems that dramatically accelerate the end-to-end training lifecycle for Speech-to-Text (STT) and Text-to-Speech (TTS) models. This includes far more than automated training: the role focuses on making model development significantly faster and more efficient through optimized data preparation and management, high-throughput training pipelines, distributed infrastructure, and automated evaluation tooling.
Tooling & Accessibility: Design and implement internal UIs and tools that make ML systems and workflows accessible to non-technical stakeholders across the company. These UIs should be designed to provide transparency and flexibility to internally built tooling.
Infrastructure & Tools: Oversee and manage training tooling, job orchestration, experiment tracking, and data storage.
We are seeking Members of the Research Staff 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 experience with the machine learning research pipeline, particularly in STT or related speech domains. This includes experimenting with and evaluating new architectures and modeling approaches, and implementing large-scale training systems.
Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect.
Familiarity with ML lifecycle tools such as MLflow.
Experience building internal tools or dashboards for non-technical users.
Hands-on experience with data engineering practices for unstructured audio and text data.
Comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders.
At Deepgram, you’ll help shape the future of human–machine communication. Our research culture prioritizes ownership, experimentation, and real-world impact. As a Member of the Research Staff, you'll be empowered to build tools and systems that accelerate ML research and product deployment at scale.
","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\n\nTHE ROLE\n\nDeepgram is seeking a highly skilled and versatile Machine Learning Engineer to join our Research team. As a Member of the Research Staff, you will partner with research scientists to prototype and validate novel modeling ideas, then scale them through robust training systems for speech technologies, internal tooling, and innovative data strategies. You'll work at the intersection of machine learning, data infrastructure, and internal tooling to support our mission of building world-class speech recognition and synthesis systems. On the Research team, you will experiment with new technologies and techniques, while also working on product-focused deliverables, learning from colleagues with a wide range of expertise in AI and machine learning as you go.\n\n\n\nKEY RESPONSIBILITIES\n\n - Scalable Model Training: Architect and manage horizontally scalable systems that dramatically accelerate the end-to-end training lifecycle for Speech-to-Text (STT) and Text-to-Speech (TTS) models. This includes far more than automated training: the role focuses on making model development significantly faster and more efficient through optimized data preparation and management, high-throughput training pipelines, distributed infrastructure, and automated evaluation tooling.\n \n\n - Tooling & Accessibility: Design and implement internal UIs and tools that make ML systems and workflows accessible to non-technical stakeholders across the company. These UIs should be designed to provide transparency and flexibility to internally built tooling.\n \n\n - Infrastructure & Tools: Oversee and manage training tooling, job orchestration, experiment tracking, and data storage.\n \n\n\nTHE CHALLENGE\n\nWe are seeking Members of the Research Staff 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\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Strong experience with the machine learning research pipeline, particularly in STT or related speech domains. This includes experimenting with and evaluating new architectures and modeling approaches, and implementing large-scale training systems.\n\n - Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect.\n\n - Familiarity with ML lifecycle tools such as MLflow.\n\n - Experience building internal tools or dashboards for non-technical users.\n\n - Hands-on experience with data engineering practices for unstructured audio and text data.\n\n - Comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders.\n \n\n\nWHY JOIN DEEPGRAM?\n\nAt Deepgram, you’ll help shape the future of human–machine communication. Our research culture prioritizes ownership, experimentation, and real-world impact. As a Member of the Research Staff, you'll be empowered to build tools and systems that accelerate ML research and product deployment at scale.","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":"f424ef6a-c27f-4984-9e77-40a1ad16ae28","title":"Platform Engineer - AI/ML Infrastructure (Kubernetes & Terraform)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-03T18:10:26.112+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/f424ef6a-c27f-4984-9e77-40a1ad16ae28","applyUrl":"https://jobs.ashbyhq.com/deepgram/f424ef6a-c27f-4984-9e77-40a1ad16ae28/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 experienced Platform Engineer to build and operate the hybrid infrastructure foundation for our advanced AI/ML research and product development. You'll architect, build, and run the platform spanning AWS and our bare metal data centers, empowering our teams to train and deploy complex models at scale. This role is focused on creating a robust, self-service environment using Kubernetes, AWS, and Infrastructure-as-Code (Terraform), and orchestrating high-demand GPU workloads using schedulers like Slurm.
What You’ll Do
Architect and maintain our core computing platform using Kubernetes on AWS and on-premise, providing a stable, scalable environment for all applications and services.
Develop and manage our entire infrastructure using Infrastructure-as-Code (IaC) principles with Terraform, ensuring our environments are reproducible, versioned, and automated.
Design, build, and optimize our AI/ML job scheduling and orchestration systems, integrating Slurm with our Kubernetes clusters to efficiently manage GPU resources.
Provision, manage, and maintain our on-premise bare metal server infrastructure for high-performance GPU computing.
Implement and manage the platform's networking (CNI, service mesh) and storage (CSI, S3) solutions to support high-throughput, low-latency workloads across hybrid environments.
Develop a comprehensive observability stack (monitoring, logging, tracing) to ensure platform health, and create automation for operational tasks, incident response, and performance tuning.
Collaborate with AI researchers and ML engineers to understand their infrastructure needs and build the tools and workflows that accelerate their development cycle.
Automate the life cycle of single-tenant, managed deployments
You’ll Love This Role If You
Are passionate about building platforms that empower developers and researchers.
Enjoy creating elegant, automated solutions for complex infrastructure challenges in both cloud and data center environments.
Thrive on optimizing hybrid infrastructure for performance, cost, and reliability.
Are excited to work at the intersection of modern platform engineering and cutting-edge AI.
Love to treat infrastructure as a product, continuously improving the developer experience.
It’s Important To Us That You Have
5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
Proven, hands-on experience building and managing production infrastructure with Terraform.
Expert-level knowledge of Kubernetes architecture and operations in a large-scale environment.
Strong scripting and automation skills (e.g., Python, Go, Bash).
Experience with CI/CD systems (e.g., GitLab CI, Jenkins, ArgoCD) and building developer tooling.
It Would Be Great if You Had
Experience with high-performance compute (HPC) job schedulers, specifically Slurm, for managing GPU-intensive AI workloads.
Experience managing bare metal infrastructure, including server provisioning (e.g., PXE boot, MAAS), configuration, and lifecycle management.
Familiarity with FinOps principles and cloud cost optimization strategies.
Knowledge of Kubernetes networking (e.g., Calico, Cilium) and storage (e.g., Ceph, Rook) solutions.
Experience in a multi-region or hybrid cloud environment.
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
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
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 Forward-Deployed Engineer (FDE) 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/SCI (TS/SCI) security 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
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.
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
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.
You deploy Deepgram’s voice AI platform into complex restaurant environments and make it work in the real world. This role sits at the intersection of engineering, product, and customer systems, partnering closely with customer leadership and technical stakeholders to bring ambitious deployments to life.
You embed with enterprise restaurant brands and restaurant technology partners, learn their systems deeply, and integrate our platform into the core of their operations. Along the way you write code, debug production issues, and adapt the platform to real world constraints. You operate as a trusted technical partner to both customer leadership and engineering teams, ensuring deployments move quickly and deliver meaningful business outcomes.
You turn real world deployments into leverage for the entire platform by identifying patterns across customers, shaping product improvements, and building the tooling, reference architectures, and playbooks that make each new deployment faster, more reliable, and easier to scale across large restaurant fleets and technology ecosystems.
The mission of this role is to ensure every enterprise deployment of Deepgram for Restaurants works like magic — technically flawless and delivering measurable value from day one.
This role is based in New York City, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is based in New York City, this would still be a remote-first opportunity, as we do not have an office local to the area.
This role also includes up to 50% 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.
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.
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/SCI (TS/SCI) security 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
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
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 infrastructure spans bare metal GPU clusters, multi-cloud deployments, and global edge presence -- all serving real-time voice AI at massive scale while simultaneously powering large-scale model training. As a Systems Architect, you will own the end-to-end infrastructure architecture that makes this possible. You will design the compute, storage, and networking systems that serve both production inference and research training workloads, build multi-cloud strategies that balance performance with cost, and create burstable infrastructure that scales with Deepgram's rapidly growing demands. This is a senior technical leadership role where your architectural decisions shape the foundation everything at Deepgram runs on.
Define and drive the end-to-end infrastructure architecture for Deepgram's AI/ML workloads across production inference and research training
Design multi-cloud and hybrid infrastructure strategies that balance performance, reliability, cost, and vendor flexibility
Architect compute orchestration systems that efficiently schedule and manage GPU and CPU workloads across heterogeneous infrastructure
Design storage architectures that handle the massive datasets required for speech and audio ML -- from high-throughput training data pipelines to low-latency model serving
Lead capacity planning across all infrastructure dimensions, modeling growth and ensuring Deepgram can scale ahead of demand
Drive cost optimization and FinOps practices, identifying opportunities to reduce infrastructure spend without compromising performance or reliability
Design burstable, elastic training infrastructure that can scale up for large training runs and scale down to minimize idle cost
Architect research compute infrastructure that gives ML teams the resources they need while maintaining operational efficiency
Establish architectural standards, design review processes, and technical documentation practices for infrastructure decisions
Collaborate with engineering leadership to align infrastructure strategy with product roadmap and business objectives
Evaluate emerging hardware, cloud services, and infrastructure technologies for potential adoption
Think in systems -- you naturally see the connections between compute, storage, network, and how they interact under load
Are motivated by designing infrastructure that operates at the intersection of real-time production systems and large-scale ML training
Enjoy making architectural trade-offs where cost, performance, reliability, and velocity are all in tension
Want to work across the full infrastructure stack -- from bare metal and GPUs to cloud services and container orchestration
Are excited about building cost-effective, burstable infrastructure that enables world-class AI research
Like operating at a strategic level while staying technically deep enough to validate designs and debug complex issues
7+ years of experience in infrastructure engineering, systems architecture, or a senior technical role focused on large-scale infrastructure
Proven experience designing multi-cloud architectures spanning AWS and at least one other major cloud provider or on-premises environment
Deep expertise in storage system design -- block, object, and file storage, including performance tuning for large-scale data workloads
Strong experience with compute orchestration using Kubernetes, and an understanding of how to schedule diverse workloads efficiently
Hands-on experience with GPU infrastructure -- procurement considerations, cluster design, driver and runtime management
Track record of capacity planning and infrastructure scaling for high-growth environments
Ability to communicate complex architectural decisions clearly to both technical and non-technical stakeholders
Strong understanding of networking fundamentals as they relate to infrastructure architecture (see our Network Engineer role for the deep specialist)
Direct experience architecting infrastructure for ML training workloads -- distributed training, large dataset management, experiment infrastructure
Background in cost optimization and FinOps practices for large-scale cloud and bare metal infrastructure
Experience operating and managing bare metal infrastructure in colocation facilities
Expertise in network architecture design, including high-bandwidth GPU interconnects and global traffic routing
Experience with infrastructure modeling and simulation for capacity planning
Familiarity with Slurm, Ray, or other HPC/ML job scheduling systems
Understanding of power, cooling, and physical infrastructure considerations for GPU-dense deployments
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.
As a Billing & Analytics Engineer on the Console & Analytics team, you will own the systems that turn Deepgram’s raw API usage into accurate invoices, revenue-grade analytics, and the self-service billing experience our customers depend on. This is the financial backbone of a high-growth AI company: every dollar of revenue flows through the code you build and maintain.
You will design and operate the full billing pipeline—from usage event ingestion and metering through aggregation, rating, invoicing, and integration with third-party billing and CRM platforms. You’ll also own the analytics surfaces that give customers visibility into their consumption and give internal teams the data they need to operate the business. This role pulls billing and analytics engineering out of the broader Console team, creating a dedicated function that insulates and accelerates Deepgram’s product-led growth (PLG) effort.
Usage Metering & Event Processing: Design, build, and maintain the pipeline that ingests, validates, and processes usage messages from Deepgram’s inference and voice agent services. Ensure events are captured with sub-second reliability at scale, with idempotency and exactly-once semantics to guarantee billing accuracy.
Usage Aggregation & Summarization: Build the aggregation layer that rolls raw usage events into usage summaries—by customer, product, time window, and pricing dimension. Optimize for query performance so that both real-time dashboards and end-of-period billing runs operate within SLA.
Billing System Integration: Own the integration with usage-based billing platforms (M3ter, Metronome, or equivalent). Implement rating, plan management, and invoice generation logic. Ensure billing data reconciles cleanly with usage records and that edge cases (overages, credits, mid-cycle plan changes, enterprise commitments) are handled correctly.
CRM & RevOps Integration: Build and maintain integrations with Salesforce and RevOps tooling to synchronize customer accounts, contract terms, entitlements, and billing status. Partner with Finance and RevOps to ensure billing data supports revenue recognition, forecasting, and audit requirements.
Console Billing Experience: Develop the customer-facing billing and usage views within the Deepgram Console. Build clear, actionable dashboards that show real-time and historical usage, current spend, billing history, and plan details. Design the self-service flows for plan upgrades, payment method management, and invoice retrieval.
In-DC Access, Permissions & Token Management: Own the billing-adjacent authorization surfaces: API key and token management, usage-based access controls, entitlement enforcement, and the permission model that gates feature access based on customer plan and billing status. Ensure these systems are secure, auditable, and performant.
Analytics & Reporting: Build internal analytics pipelines and dashboards that surface usage trends, cohort behavior, conversion funnels, and revenue metrics to Product, Growth, and Finance teams. Instrument the billing system for operational observability—alerting on anomalies, reconciliation failures, and SLA breaches.
Data Integrity & Reconciliation: Implement automated reconciliation between usage events, aggregated summaries, billing records, and payment processor data. Build alerting and self-healing mechanisms to catch and resolve discrepancies before they impact customers or revenue reporting.
5+ years of experience building and operating billing, payments, metering, or financial data systems in a SaaS or usage-based pricing environment.
Strong backend engineering skills, preferably in Rust, and in at least one of: Python, TypeScript/Node.js, Go, or similar. Comfort working across the stack when needed.
Deep experience with relational databases (PostgreSQL, MySQL) and data pipeline design—schema modeling, query optimization, and high-volume event processing.
Hands-on experience integrating with billing or subscription platforms (e.g., Stripe, M3ter, Metronome, Chargebee, Zuora) and CRM systems (Salesforce).
Understanding of usage-based pricing models, metering patterns, and the edge cases that come with them (proration, overages, commitments, credits, multi-currency).
Experience building reconciliation and data integrity systems that ensure financial accuracy at scale.
Strong communication skills—you can partner effectively with Finance, RevOps, Product, and Growth teams to translate business requirements into reliable systems.
A security-conscious mindset, especially around authentication, token management, and access control.
Experience with usage-based billing platforms (M3ter, Metronome) specifically, or building custom metering systems from scratch.
Familiarity with product-led growth (PLG) patterns: self-serve signup, usage gating, upgrade flows, and conversion instrumentation.
Experience with event-driven architectures (Kafka, SQS, Pub/Sub) for high-throughput usage event processing.
Background in revenue operations, revenue recognition (ASC 606), or SOX-relevant billing controls.
Experience with analytics/BI tooling (Looker, Metabase, dbt) and building internal data products.
Prior work at a company where billing accuracy directly impacted customer trust and revenue at scale.
Deepgram’s growth is powered by a usage-based model where customers pay for what they consume. Every usage event, every invoice, every plan upgrade flows through the systems this role owns. As Billing & Analytics Engineer, you’ll ensure that Deepgram gets paid accurately and on time, that customers have full visibility into their consumption, and that internal teams have the financial data they need to scale the business. By creating a dedicated billing engineering function, this role directly enables the Console and PLG teams to move faster on product innovation without billing complexity as a bottleneck.
","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\nAs a Billing & Analytics Engineer on the Console & Analytics team, you will own the systems that turn Deepgram’s raw API usage into accurate invoices, revenue-grade analytics, and the self-service billing experience our customers depend on. This is the financial backbone of a high-growth AI company: every dollar of revenue flows through the code you build and maintain.\n\nYou will design and operate the full billing pipeline—from usage event ingestion and metering through aggregation, rating, invoicing, and integration with third-party billing and CRM platforms. You’ll also own the analytics surfaces that give customers visibility into their consumption and give internal teams the data they need to operate the business. This role pulls billing and analytics engineering out of the broader Console team, creating a dedicated function that insulates and accelerates Deepgram’s product-led growth (PLG) effort.\n\n\n\n\nWHAT YOU’LL DO\n\nUsage Metering & Event Processing: Design, build, and maintain the pipeline that ingests, validates, and processes usage messages from Deepgram’s inference and voice agent services. Ensure events are captured with sub-second reliability at scale, with idempotency and exactly-once semantics to guarantee billing accuracy.\n\nUsage Aggregation & Summarization: Build the aggregation layer that rolls raw usage events into usage summaries—by customer, product, time window, and pricing dimension. Optimize for query performance so that both real-time dashboards and end-of-period billing runs operate within SLA.\n\nBilling System Integration: Own the integration with usage-based billing platforms (M3ter, Metronome, or equivalent). Implement rating, plan management, and invoice generation logic. Ensure billing data reconciles cleanly with usage records and that edge cases (overages, credits, mid-cycle plan changes, enterprise commitments) are handled correctly.\n\nCRM & RevOps Integration: Build and maintain integrations with Salesforce and RevOps tooling to synchronize customer accounts, contract terms, entitlements, and billing status. Partner with Finance and RevOps to ensure billing data supports revenue recognition, forecasting, and audit requirements.\n\nConsole Billing Experience: Develop the customer-facing billing and usage views within the Deepgram Console. Build clear, actionable dashboards that show real-time and historical usage, current spend, billing history, and plan details. Design the self-service flows for plan upgrades, payment method management, and invoice retrieval.\n\nIn-DC Access, Permissions & Token Management: Own the billing-adjacent authorization surfaces: API key and token management, usage-based access controls, entitlement enforcement, and the permission model that gates feature access based on customer plan and billing status. Ensure these systems are secure, auditable, and performant.\n\nAnalytics & Reporting: Build internal analytics pipelines and dashboards that surface usage trends, cohort behavior, conversion funnels, and revenue metrics to Product, Growth, and Finance teams. Instrument the billing system for operational observability—alerting on anomalies, reconciliation failures, and SLA breaches.\n\nData Integrity & Reconciliation: Implement automated reconciliation between usage events, aggregated summaries, billing records, and payment processor data. Build alerting and self-healing mechanisms to catch and resolve discrepancies before they impact customers or revenue reporting.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - 5+ years of experience building and operating billing, payments, metering, or financial data systems in a SaaS or usage-based pricing environment.\n\n - Strong backend engineering skills, preferably in Rust, and in at least one of: Python, TypeScript/Node.js, Go, or similar. Comfort working across the stack when needed.\n\n - Deep experience with relational databases (PostgreSQL, MySQL) and data pipeline design—schema modeling, query optimization, and high-volume event processing.\n\n - Hands-on experience integrating with billing or subscription platforms (e.g., Stripe, M3ter, Metronome, Chargebee, Zuora) and CRM systems (Salesforce).\n\n - Understanding of usage-based pricing models, metering patterns, and the edge cases that come with them (proration, overages, commitments, credits, multi-currency).\n\n - Experience building reconciliation and data integrity systems that ensure financial accuracy at scale.\n\n - Strong communication skills—you can partner effectively with Finance, RevOps, Product, and Growth teams to translate business requirements into reliable systems.\n\n - A security-conscious mindset, especially around authentication, token management, and access control.\n \n \n\n\nNICE TO HAVE\n\n - Experience with usage-based billing platforms (M3ter, Metronome) specifically, or building custom metering systems from scratch.\n\n - Familiarity with product-led growth (PLG) patterns: self-serve signup, usage gating, upgrade flows, and conversion instrumentation.\n\n - Experience with event-driven architectures (Kafka, SQS, Pub/Sub) for high-throughput usage event processing.\n\n - Background in revenue operations, revenue recognition (ASC 606), or SOX-relevant billing controls.\n\n - Experience with analytics/BI tooling (Looker, Metabase, dbt) and building internal data products.\n\n - Prior work at a company where billing accuracy directly impacted customer trust and revenue at scale.\n \n \n\n\nWHY THIS ROLE MATTERS\n\nDeepgram’s growth is powered by a usage-based model where customers pay for what they consume. Every usage event, every invoice, every plan upgrade flows through the systems this role owns. As Billing & Analytics Engineer, you’ll ensure that Deepgram gets paid accurately and on time, that customers have full visibility into their consumption, and that internal teams have the financial data they need to scale the business. By creating a dedicated billing engineering function, this role directly enables the Console and PLG teams to move faster on product innovation without billing complexity as a bottleneck.","compensation":{"compensationTierSummary":"$180K – $245K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$180K - $245K","compensationTiers":[{"id":"6bf5e3f4-9a87-4727-aec1-dcc9bb4bf7f5","tierSummary":"$180K – $245K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"660dc272-8bf8-46e7-b222-6f48d6453a0c","summary":"$180K – $245K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":245000},{"id":"919a8d8e-e30a-45ff-b8f3-96148b0d850b","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"15e910a1-78c9-41a1-ac5a-ede9a18510b0","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":245000},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"66aa70a5-7de9-4657-a710-6af3dbb4c262","title":"Defense / Edge Tech Lead","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-21T11:56:09.690+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/66aa70a5-7de9-4657-a710-6af3dbb4c262","applyUrl":"https://jobs.ashbyhq.com/deepgram/66aa70a5-7de9-4657-a710-6af3dbb4c262/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 AI models are among the fastest and most accurate in the world — and an increasing number of defense and edge computing customers need those models to run outside of the cloud. On devices, on-premises, in disconnected environments, and on hardware with strict power and compute constraints. This is the frontier where AI meets the physical world, and it requires a fundamentally different engineering approach.
As the Defense / Edge Tech Lead, you will own the technical direction for deploying Deepgram's models to edge and embedded environments. You will work closely with hardware partners like Qualcomm and Motorola, support defense customer requirements through AWS NatSec partnerships, and drive the model optimization and runtime engineering needed to deliver production-quality speech AI on constrained platforms. You will be the technical point of contact for some of Deepgram's most strategically important partnerships and customers.
This role requires a rare combination of systems engineering depth, model optimization expertise, and the judgment to navigate defense and government customer environments. Note that Deepgram does not currently hold facility clearance — this role does not require an active security clearance, though experience working in or alongside classified programs is highly valued.
Lead the technical strategy for edge deployment of Deepgram's STT and TTS models, defining the architecture for on-device, on-premises, and air-gapped inference across diverse hardware targets.
Optimize models for edge and embedded platforms, driving quantization, pruning, distillation, and runtime optimization to meet strict latency, memory, and power constraints.
Partner with Qualcomm, Motorola, and other hardware vendors to ensure Deepgram models run efficiently on their chipsets, collaborating on SDK integration, performance benchmarking, and joint go-to-market.
Support defense customer requirements through AWS NatSec partnerships, translating mission requirements into engineering deliverables and ensuring Deepgram's solutions meet the unique demands of government environments.
Design and build edge runtime infrastructure, including model packaging, deployment pipelines, OTA update mechanisms, and telemetry for devices operating in low-connectivity or disconnected environments.
Harden deployments for security-sensitive environments, implementing secure boot chains, encrypted model storage, tamper detection, and audit logging appropriate for defense and government use cases.
Benchmark and validate performance across target hardware platforms, establishing repeatable test suites for latency, accuracy, power consumption, and resource utilization.
Collaborate with Research and Engine teams to influence model architectures toward edge-friendly designs from the start, reducing the optimization burden at deployment time.
Provide technical leadership to cross-functional teams working on defense and edge projects, setting engineering standards, reviewing designs, and mentoring engineers on systems and optimization practices.
You find deep satisfaction in making a 300M-parameter model run on hardware with 4GB of RAM — and still hit accuracy targets.
You want to work at the intersection of AI and hardware, where optimization is not optional but existential.
You are energized by partnerships with hardware companies and enjoy the back-and-forth of getting a model to sing on a new chipset.
You understand the unique dynamics of defense and government customers and can navigate their requirements without losing engineering velocity.
You believe that edge AI is the next major deployment frontier, and you want to define how speech AI gets there.
You prefer working on hard, constrained problems over open-ended research — you want to ship, not just publish.
5+ years of experience in systems engineering, embedded computing, or edge AI deployment, with a track record of delivering production systems on constrained hardware.
Strong proficiency in C, C++, and/or Rust, with experience writing performance-critical code for resource-constrained environments.
Hands-on experience with model optimization for edge deployment, including quantization, pruning, knowledge distillation, or architecture-specific compilation.
Familiarity with edge inference runtimes such as ONNX Runtime, TensorRT, TFLite, or vendor-specific SDKs (Qualcomm SNPE/QNN, MediaTek NeuroPilot, etc.).
Experience with security-conscious development practices, including secure boot, encrypted storage, code signing, and secure deployment pipelines.
Strong understanding of hardware-software interaction — CPU/GPU/NPU architectures, memory hierarchies, power management, and how they affect model inference performance.
Excellent communication skills — you will be the technical face of Deepgram to hardware partners and defense customers, and you need to be credible and clear in both contexts.
Prior experience working on or alongside classified defense programs — you understand SCIFs, accreditation processes, and the operational constraints of secure environments, even if you do not currently hold an active clearance.
Experience with ML model optimization techniques at depth — custom quantization schemes, mixed-precision inference, neural architecture search for edge targets.
Familiarity with ONNX, TensorRT, or similar model compilation and optimization toolchains and their tradeoffs across hardware targets.
Defense or govtech industry experience, including familiarity with procurement processes, ITAR, FedRAMP, or DoD software development standards.
Experience with real-time audio processing on embedded platforms — DSP pipelines, audio codec optimization, or streaming inference on microcontrollers or edge SoCs.
Background in hardware evaluation and benchmarking — systematically comparing accelerators, SoCs, or GPUs for specific workload profiles.
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 seeking a Pre-Sales Solutions Engineer to join our Applied Engineering team. While you'll have the opportunity to contribute across the team's various responsibilities (including pre-sales, implementation, and customer support), your primary focus will be driving technical pre-sales engagements with our prospects, customers, and partners. In this role, you will be the technical authority who bridges the gap between our state-of-the-art AI speech technology and customer business needs. You'll collaborate closely with our sales team to craft compelling technical solutions, provide technical validation, build proof-of-concepts, and demonstrate the value of our platform to technical decision makers. Your deep engineering expertise combined with consultative sales skills will be crucial in navigating complex sales cycles and establishing Deepgram as the preferred Voice AI partner. As a member of the Applied Engineering team, you'll influence the team’s vision, product strategy based on market insights, and contribute to the evolution of our pre-sales methodology.
This role is based in 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. While the role is anchored in our San Francisco office, Deepgram continues to be remote-first and we don't expect you to be in the office every day. We believe a mix of in-person and remote work allows us to share context and build productively.
This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions
About Applied Engineering at Deepgram
The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey. We work closely with our Customer Success and Developer Experience (DX) 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 an Applied Engineer, you'll be primarily focused on the pre-sales aspects of this journey while having opportunities to contribute to the full customer lifecycle.
This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions
What You’ll Do
Lead technical discovery and solution design for enterprise prospects and customers
Architect and implement custom proof-of-concepts and technical demonstrations that address specific customer use cases
Provide expert guidance on API integration, performance optimization, and deployment strategies
Partner with Account Executives to navigate technical objections and accelerate the sales cycle
Contribute to technical content creation including implementation guides, reference architectures, and best practices
Mentor junior team members and share technical knowledge across the organization
Represent the voice of the customer to product and engineering teams
Your First 90 Days
First 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Shadow senior team members on customer calls and begin building technical demos. Gain proficiency with our core APIs and documentation.
60 Days: Lead technical discovery calls with account executives, and develop custom proof-of-concepts for prospects. Begin contributing to technical content. Participate in sales strategy sessions and provide technical insights to deals in progress.
90 Days: Own the technical relationship with assigned accounts. Develop and present complex solutions addressing specific customer challenges. Begin mentoring newer team members and contributing to the pre-sales methodology.
You’ll Love This Role If You
Are passionate about translating complex technical capabilities into business value
Thrive in consultative customer environments where you can showcase your technical expertise
Enjoy the strategic aspects of enterprise sales cycles while maintaining technical credibility
Find satisfaction in seeing your technical solutions drive customer adoption and success
Are energized by staying at the forefront of AI and speech technology
It’s Important To Us That You Have
5+ years of experience in technical pre-sales, solutions architecture, or similar customer-facing technical roles
Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, or similar languages
Proven track record of successfully navigating complex technical sales cycles
Experience building and demonstrating proof-of-concepts or technical solutions to diverse audiences
Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders
It Would Be Great if You Had
Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies
Experience building customer-facing demos and sample code
Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)
Experience with API-first products and developer tools
Background in sales methodologies such as Triangle, MEDDIC, or Solution Selling
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.
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 seeking a talented, support-focused Solutions Architect (Applied Engineer) to join our Applied Engineering (AppEng) team. In this role, you will directly engage with customers to solve complex technical challenges while simultaneously building scalable solutions that enhance our support infrastructure. You'll own complete customer engagements in a post-sales capacity, and occasionally assist with pre-sales and implementation projects as needed. Your strong engineering background will enable you to resolve sophisticated technical issues, create repeatable solutions, and develop automation that allows the broader AppEng team to focus on high-impact pre-sales activities. This position offers an excellent path to grow into broader implementation and pre-sales roles while making an immediate impact on our customer support experience. As a key member of the Applied Engineering team, you'll influence our customer support strategy, and play a crucial role in ensuring our customers receive exceptional technical assistance throughout their journey with Deepgram.
Location
This role is based in 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. While the role is anchored in our San Francisco office, Deepgram continues to be remote-first and we don't expect you to be in the office every day. We believe a mix of in-person and remote work allows us to share context and build productively.
This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions
About Applied Engineering at Deepgram
The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, 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 Experience (DX) teams to ensure a positive, growth-focused experience for our customers. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers. As a support-focused Applied Engineer, you'll be primarily concerned with elevating our technical support capabilities while having opportunities to contribute to the broader Applied Engineering mission in pre-sales, implementation, and more.
What You'll Do
Own complete post-sales customer engagements, providing direct technical guidance and solutions
Lead the technical resolution of complex customer support issues, serving as an escalation point for challenging technical problems
Design and implement systematic improvements to our support process and infrastructure
Create automated solutions and self-service tools that address common customer challenges
Analyze support ticket patterns to identify product improvement opportunities and preventative measures
Develop technical documentation, guides, and best practices that enable customers to self-solve issues
Collaborate with product and engineering teams to advocate for customer needs and influence roadmap priorities
Partner with the broader Applied Engineering team to share knowledge and balance support workload
Occasionally assist with implementation projects and pre-sales activities as needed
Time Allocation
50% - Direct customer engagement and technical problem solving
30% - Building automation and scalable support solutions
10% - Developing documentation and self-service resources
10% - Contributing to broader Applied Engineering initiatives and pre-sales activities
You'll Love This Role If You
Enjoy direct customer interaction and solving complex technical challenges
Are passionate about creating scalable solutions that enhance customer experiences
Find satisfaction in improving systems and processes to increase efficiency
Have a talent for identifying patterns and translating them into actionable improvements
Are energized by opportunities to apply engineering principles to customer-facing challenges
See technical support as a strategic function that drives customer satisfaction and retention
It's Important To Us That You Have
3+ years of experience in technical support, solutions engineering, or similar customer-facing technical roles
Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, Rust, C/C++, or similar languages
Experience developing automation solutions and improving technical processes
Proven ability to troubleshoot complex technical issues in production environments
Excellent written and verbal communication skills with the ability to explain technical concepts clearly
It Would Be Great if You Had
Experience with speech recognition, NLP, or related AI technologies
Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)
Experience with API-first products and developer tools
Background in support automation techniques and tools
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 Engineering Manager to help drive our product-led growth strategy. Deepgram is the leader in developer-friendly building blocks for language AI—real-time transcription, voice agents, and audio intelligence at scale. As such, this role directly impacts the customer's first impressions of Deepgram's products and uniquely influences their buying decisions. In this role, you will lead a team of frontend and backend engineers who work on our self-serve products like Console, and Product Playground. By partnering closely with Product, Sales, and Marketing, you will execute on the next-generation vision for our self-service platform.
In the current wave of AI-native development, developer experience is the product. The best infrastructure wins by being the easiest to trust.
Lead a team of multi-disciplined software engineers to build our web applications, agentic tooling integrations (MCP servers, SDK experiences), and account management (authorization, billing, analytics) services
Work closely with the rest of the leadership and product management team on product strategy and roadmap refinement, with a focus on AI-native developer experience
Oversee technical design, task decomposition, and daily standups to ensure the team is executing on schedule
Lead the creation of features and product releases by being closely involved with the product development, design, and review—including AI agent playground environments and LLM-powered developer tooling
Drive the self-serve growth engine: activation funnels, in-product upgrade flows, and PLG experimentation and self serve deployments.
Work with other team leads from across the product organization on cross-functional projects, help identify the critical paths, and resolve dependencies
Hold regular 1-on-1s with direct reports, help them navigate challenges, and coach them for their career development
Have experience working in early stage startups—from building and scaling to going through fundraising
Have great communication and leadership skills and the ability to work in a fast-paced environment
Have strong practical experience with software architecture and implementation, plus the ability to engage with an engineering team to help build and scale the existing infrastructure
Think about LLMs, agents, and model APIs as first-class product primitives—not just add-ons
Have familiarity with hybrid cloud models (bare-metal datacenters and cloud service providers) and scaled databases
Have interest in relevant technologies (Rust, LLM APIs, MCP/agent tooling, Elm, Postgres, GPUs, etc.) and a willingness to challenge common assumptions about the future trajectories of technology
A strong technical background building world class user-facing applications
Proven management and leadership experience
The ability to drive technical decisions in a scalable and thoughtful manner
Passion about good engineering practices, emerging technologies, and improving processes
A consistent record of mentoring and coaching team members
A passion for navigating the team through the real-world constraints of a startup: how to build quickly, iterate frequently, and run experiments
Experience building AI-powered developer tooling—playgrounds, SDK experiences, interactive docs, or evaluation UIs for ML models
Experience shipping agentic or voice AI integrations—MCP servers, function-calling pipelines, voice assistant SDKs
Experience driving PLG at a developer-tools company—activation experiments, usage-based pricing instrumentation, upgrade flows
Experience managing through a fundraising cycle
An opinionated approach to partnering with product and making timely deliveries
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 voice AI platform for developers; building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS), enterprise-grade, voice agent offerings. Over 200,000 developers build with Deepgram's voice-native foundational models – accessed through APIs, well known partners or as self-managed software – due to our unmatched accuracy, latency and pricing.
Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.
As a Senior AI Community Engineer, you are the person who creates the venues (physical and digital) where developers discover voice AI, try it for the first time, and connect with the builders around them.
Where Developer Advocates prove what's possible through code and content, you prove it by putting a keyboard in a developer's hands. You run the builders night where 40 developers make their first API call. You design the workshop that turns curiosity into a working prototype. You build the community infrastructure that identifies the most engaged developers and turns them into Deepgram Champions.
Your primary output is programs, events, and activation infrastructure. You manage the end-to-end event lifecycle, the local community health of Deepgram's developer platforms, and the pipeline that converts event attendees into active, retained developers. You measure success by how many developers activate, not how many people saw your content.
This role is based in San Francisco. You are Deepgram's in-person presence in the Bay Area at meetups, hack nights, AI conferences, and the local builder community. You also execute Deepgram's broader event strategy and execution across the US, with ~25% travel.
Run Events End-to-End: Own the full lifecycle of DevRel events — first-party programs (builders nights, hack nights, virtual dev days), community developer conferences (CFP support, on-site activation), and DevRel's role at partner and industry events. You execute from planning through post-event follow-up and impact measurement.
Build the SF Presence: Establish and maintain a regular cadence of in-person programming in the Bay Area that makes Deepgram the default gathering point for voice AI builders. Builders nights, workshop series, partner co-hosted events — you design the formats and run them.
Design for Activation: Every event you run has a clear activation goal. Design hands-on workshop formats that get developers to a first API call during the session. Maintain workshop-ready demo infrastructure — facilitator guides, environment setup, and scaffolding that works for 40 people simultaneously.
Own Community Health: Manage the health and growth of Deepgram's developer community across Discord, GitHub, Reddit, and social platforms. Run engagement rhythms — office hours, developer spotlights, social listening — and ship monthly friction reports that surface community-sourced issues to Product and Engineering.
Build the Champions Pipeline: Identify, cultivate, and activate the most engaged developers in the community. Build the data and relationships needed to launch a formal Champions program — you know who your best builders are because you've worked with them, not because they're names on a spreadsheet.
Measure What Matters: Track event-to-activation conversion as your primary success metric. What percentage of attendees make their first API call within 14 days? Connect your work to developer outcomes — sign-ups, activations, community growth, Champion pipeline — and report on impact, not just activity.
Scale the Playbook: Document repeatable event playbooks, community engagement patterns, and workshop formats so the team can scale this work beyond one person and one geography.
Coordinate Across the Business: Work with Field Marketing on trade shows, with Partnerships on co-hosted events, and with the Advocacy team to ensure the content and demos they produce land in front of real developers at your events.
Experience: 3–5 years in Developer Relations, Community Management, Technical Event Production, or a related field. You've run developer-facing events and community programs — not just attended them.
Event Execution: A track record of producing technical events — meetups, hack nights, workshops, conference activations — from concept through post-event measurement. You know the difference between an event that generates buzz and one that generates activations.
Community Building: Experience growing and sustaining a developer community. You understand engagement loops, community health metrics, and when to lead vs. when to step back and let the community help itself.
Technical Credibility: You don't need to be a Staff engineer, but you need to be technical enough to triage developer questions live, run a workshop on API integrations, and maintain demo infrastructure. Comfortable with JavaScript or Python and familiar with API-first development.
AI-First Mindset: You use AI tools in your daily workflow — for planning, content, research, automation. You're building with AI, not just talking about it.
Local Presence: Based in San Francisco with the ability to be Deepgram's consistent in-person presence in the Bay Area. ~25% travel beyond the region for conferences and team gatherings.
High Autonomy: You find the gaps, design the format, and drive to outcomes without waiting to be handed a plan.
Developer Event Production at Scale: Experience producing events for 50–200+ developers, including logistics, A/V, catering coordination, and venue management. Bonus if you've produced hybrid or virtual events.
Workshop Design: A portfolio of hands-on technical workshops you've designed and facilitated — ideally with measurable activation or completion outcomes.
Community Tooling: Experience with community platforms (Discord, Discourse, Orbit, Common Room) and community analytics. Bonus if you've built custom community tooling or automation.
Media & Real-time Protocols: Familiarity with WebSockets, WebRTC, or real-time audio — enough to understand how Deepgram's technology works and explain it to developers in a workshop setting.
Partnership Coordination: Experience working across organizational boundaries to co-produce events or programs with external partners.
Champions / Ambassador Programs: Experience designing or running a developer champions, MVP, or ambassador program.
Content as a Complement: While content isn't your primary output, the ability to produce event recaps, community spotlights, or short-form social content is a plus.
Deepgram wins when developers move from \"is this possible?\" to \"this is in production\" with zero friction. The Bay Area is home to the densest concentration of AI builders and voice AI startups in the world. This role puts Deepgram in the room — at the hack night, at the meetup, in the community spaces where developers are making technology decisions. As a Community Engineer, you don't just tell developers what's possible — you create the experience where they prove it to themselves.
","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 leading voice AI platform for developers; building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS), enterprise-grade, voice agent offerings. Over 200,000 developers build with Deepgram's voice-native foundational models – accessed through APIs, well known partners or as self-managed software – due to our unmatched accuracy, latency and pricing.\n\nCustomers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nABOUT THE ROLE\n\nAs a Senior AI Community Engineer, you are the person who creates the venues (physical and digital) where developers discover voice AI, try it for the first time, and connect with the builders around them.\n\nWhere Developer Advocates prove what's possible through code and content, you prove it by putting a keyboard in a developer's hands. You run the builders night where 40 developers make their first API call. You design the workshop that turns curiosity into a working prototype. You build the community infrastructure that identifies the most engaged developers and turns them into Deepgram Champions.\n\nYour primary output is programs, events, and activation infrastructure. You manage the end-to-end event lifecycle, the local community health of Deepgram's developer platforms, and the pipeline that converts event attendees into active, retained developers. You measure success by how many developers activate, not how many people saw your content.\n\nThis role is based in San Francisco. You are Deepgram's in-person presence in the Bay Area at meetups, hack nights, AI conferences, and the local builder community. You also execute Deepgram's broader event strategy and execution across the US, with ~25% travel.\n\n\n\n\nWHAT YOU'LL DO\n\n - Run Events End-to-End: Own the full lifecycle of DevRel events — first-party programs (builders nights, hack nights, virtual dev days), community developer conferences (CFP support, on-site activation), and DevRel's role at partner and industry events. You execute from planning through post-event follow-up and impact measurement.\n\n - Build the SF Presence: Establish and maintain a regular cadence of in-person programming in the Bay Area that makes Deepgram the default gathering point for voice AI builders. Builders nights, workshop series, partner co-hosted events — you design the formats and run them.\n\n - Design for Activation: Every event you run has a clear activation goal. Design hands-on workshop formats that get developers to a first API call during the session. Maintain workshop-ready demo infrastructure — facilitator guides, environment setup, and scaffolding that works for 40 people simultaneously.\n\n - Own Community Health: Manage the health and growth of Deepgram's developer community across Discord, GitHub, Reddit, and social platforms. Run engagement rhythms — office hours, developer spotlights, social listening — and ship monthly friction reports that surface community-sourced issues to Product and Engineering.\n\n - Build the Champions Pipeline: Identify, cultivate, and activate the most engaged developers in the community. Build the data and relationships needed to launch a formal Champions program — you know who your best builders are because you've worked with them, not because they're names on a spreadsheet.\n\n - Measure What Matters: Track event-to-activation conversion as your primary success metric. What percentage of attendees make their first API call within 14 days? Connect your work to developer outcomes — sign-ups, activations, community growth, Champion pipeline — and report on impact, not just activity.\n\n - Scale the Playbook: Document repeatable event playbooks, community engagement patterns, and workshop formats so the team can scale this work beyond one person and one geography.\n\n - Coordinate Across the Business: Work with Field Marketing on trade shows, with Partnerships on co-hosted events, and with the Advocacy team to ensure the content and demos they produce land in front of real developers at your events.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Experience: 3–5 years in Developer Relations, Community Management, Technical Event Production, or a related field. You've run developer-facing events and community programs — not just attended them.\n\n - Event Execution: A track record of producing technical events — meetups, hack nights, workshops, conference activations — from concept through post-event measurement. You know the difference between an event that generates buzz and one that generates activations.\n\n - Community Building: Experience growing and sustaining a developer community. You understand engagement loops, community health metrics, and when to lead vs. when to step back and let the community help itself.\n\n - Technical Credibility: You don't need to be a Staff engineer, but you need to be technical enough to triage developer questions live, run a workshop on API integrations, and maintain demo infrastructure. Comfortable with JavaScript or Python and familiar with API-first development.\n\n - AI-First Mindset: You use AI tools in your daily workflow — for planning, content, research, automation. You're building with AI, not just talking about it.\n\n - Local Presence: Based in San Francisco with the ability to be Deepgram's consistent in-person presence in the Bay Area. ~25% travel beyond the region for conferences and team gatherings.\n\n - High Autonomy: You find the gaps, design the format, and drive to outcomes without waiting to be handed a plan.\n\n\nPREFERRED / NICE-TO-HAVE\n\n - Developer Event Production at Scale: Experience producing events for 50–200+ developers, including logistics, A/V, catering coordination, and venue management. Bonus if you've produced hybrid or virtual events.\n\n - Workshop Design: A portfolio of hands-on technical workshops you've designed and facilitated — ideally with measurable activation or completion outcomes.\n\n - Community Tooling: Experience with community platforms (Discord, Discourse, Orbit, Common Room) and community analytics. Bonus if you've built custom community tooling or automation.\n\n - Media & Real-time Protocols: Familiarity with WebSockets, WebRTC, or real-time audio — enough to understand how Deepgram's technology works and explain it to developers in a workshop setting.\n\n - Partnership Coordination: Experience working across organizational boundaries to co-produce events or programs with external partners.\n\n - Champions / Ambassador Programs: Experience designing or running a developer champions, MVP, or ambassador program.\n\n - Content as a Complement: While content isn't your primary output, the ability to produce event recaps, community spotlights, or short-form social content is a plus.\n\n\nWHY THIS ROLE MATTERS\n\nDeepgram wins when developers move from \"is this possible?\" to \"this is in production\" with zero friction. The Bay Area is home to the densest concentration of AI builders and voice AI startups in the world. This role puts Deepgram in the room — at the hack night, at the meetup, in the community spaces where developers are making technology decisions. As a Community Engineer, you don't just tell developers what's possible — you create the experience where they prove it to themselves.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"f924e637-6bfa-46fc-a05a-b4bcdb176f78","title":"German Speaking- Sales Development Representative, EMEA","department":"Sales","team":"Sales - SDR","employmentType":"FullTime","location":"EMEA | Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"London","address":{"postalAddress":{}}},{"location":"EMEA","address":null}],"publishedAt":"2026-07-27T21:25:13.138+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United Kingdom"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/f924e637-6bfa-46fc-a05a-b4bcdb176f78","applyUrl":"https://jobs.ashbyhq.com/deepgram/f924e637-6bfa-46fc-a05a-b4bcdb176f78/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 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
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, Technical Accounting & Financial Reporting to help prepare the company for its first external audit and, ultimately, for public markets. You'll report directly to the Chief Accounting Officer and work alongside a small, scrappy finance team — owning the technical accounting and financial reporting work that takes a private company from where we are today to audit-ready and IPO-ready.
There's a lot to figure out. You'll quarterback the work, set the standards, and be the buck-stops-here technical authority in the room with our auditors, valuation specialists, and external accounting advisors.
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.
Own technical accounting across the topics that will define our audit and S-1, including revenue recognition (ASC 606), stock-based compensation and equity transactions (ASC 718), capitalized software (internal-use and software to be sold), leases (ASC 842), business combinations (ASC 805), and complex financing instruments.
Own GAAP financial statement preparation and footnote disclosures from the ground up, including MD&A and the disclosures required for registration.
Quarterback the external audit — build the policy library, stand up the PBC process, and serve as the primary technical point of contact for auditors. Defend positions independently.
Scope and manage external technical accounting advisors — direct their work, decide when to bring them in versus execute in-house, and hold them to our standards.
Own the relationship with valuation specialists on 409As, purchase price allocations, and intangible asset valuations.
Partner with tax advisors on international transfer pricing and intercompany accounting.
Lay the foundation for SEC reporting (S-1, 10-K, 10-Q) and SOX readiness — design the workflows, controls, and calendars that will support public-company operations.
Develop and document accounting policies that are clear, defensible, and scalable.
Leverage AI aggressively — for research, memo drafting, tie-outs, disclosure benchmarking, and workflow automation — and build your own tooling where it helps.
Build the team as we scale.
Active CPA, with a strong Big 4 or national firm foundation.
8+ years of progressive experience in technical accounting and/or financial reporting, with deep fluency in US GAAP.
Hands-on technical range across revenue (606), equity comp (718), leases (842), and business combinations (805) — you can take on a gnarly issue and come back with a defensible memo you drafted yourself.
Experience preparing GAAP financial statements and footnotes from scratch, not just reviewing them.
Experience managing external auditors and external accounting consultants — you know how to scope, direct, and push back.
A builder's instinct — comfort with ambiguity, no waiting for playbooks, strong bias to ship.
A demonstrated AI-native working style — you use LLMs daily for drafting, research, and analysis, and can talk concretely about what these tools do well and where they fall short for accountants.
Strong written and verbal communication — you can translate technical accounting for non-accountants without losing precision.
Comfort vibe-coding small scripts or automations (Python, SQL, etc.) to accelerate your own work.
High integrity, high ownership, low ego.
Prior experience preparing a company for its first external audit.
Prior experience taking a company public (S-1, IPO readiness, first 10-K).
Capitalized software accounting experience in a SaaS or AI business.
Experience coordinating with valuation specialists on 409As, PPAs, or intangible asset valuations.
Exposure to international transfer pricing or intercompany accounting.
Working knowledge of Workiva, NetSuite, FloQast, or similar tools — and strong opinions about them.
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, Tax to stand up our tax function from foundation and run it through our first external audit and into public markets. You'll be our first dedicated tax hire — reporting directly with the CAO and working directly alongside our CFO and our small finance team, building from a clean slate supported by outside advisors.
There's a lot to figure out. You'll set the tax positions, scope and direct external advisors, and be the senior technical voice with our auditors, the IRS, and state revenue agencies.
At Deepgram we expect an AI-first mindset. AI use isn't optional — it's core to how we operate. Every team member is expected to use and experiment with advanced AI tools, and build their own into everyday work.
Stand up the tax function from foundation. You're our first dedicated tax hire, working from a clean slate with outside advisors. Set the operating model, the positions, the calendar, the tooling.
Own the multi-state nexus picture — payroll, customer, and economic nexus across our remote workforce and customer footprint. Build the registration and compliance roadmap and execute it.
Define and defend US federal tax positions — R&D credit (§41), §174, capitalized software, equity comp deductions, pre-IPO restructuring.
Build our international tax foundation. We're early in global expansion and you'll own the design from the ground up — transfer pricing model and intercompany agreements, IP location and migration, GILTI/FDII, entity structure, permanent establishment risk.
Build the sales and use tax operating model — taxability, nexus monitoring, registrations, returns, exemption certificates. Strong opinions on the right tooling.
Quarterback external tax advisors — direct, scope, and decide what stays in-house. Today: Big 4 federal compliance. You'll scope SALT, international, and transfer pricing engagements as needed.
Partner with the Director, Technical Accounting & FR on equity comp (ASC 718 / IRC 409A), business combinations (ASC 805 / §338, PPAs), capitalized software, and complex financing instruments.
When the time comes, build our first ASC 740 provision from scratch — workpapers, footnotes, disclosures, tie-outs — with the rigor an external audit and S-1 require. We're not yet running a provision; you'll stand it up as audit prep requires it.
Lay the foundation for public-company tax disclosure and SOX readiness — workflows, controls, and calendars to support 10-K / 10-Q tax footnotes.
Use AI extensively — research, memo drafting, nexus analysis, transfer pricing benchmarking, peer disclosure scraping, workflow automation — and build your own tooling where it helps.
Build the team as we scale.
Active CPA, JD with tax LLM, or MST. Big 4 or national firm tax foundation.
8+ years of progressive corporate tax experience. Deep fluency in US federal and multi-state, plus hands-on international tax — transfer pricing, IP structuring, GILTI/FDII, intercompany. We're early in our international exposure and you'll be the one who builds it; experience at a company that's done this before is required.
Hands-on technical range across what'll define our audit and S-1 — federal positions including R&D credit and §174, multi-state SALT, indirect tax, equity-comp tax, ASC 740. You can take a gnarly issue and come back with a defensible position you reasoned through yourself.
Experience preparing or rebuilding tax provisions, footnotes, and disclosures from scratch — not just reviewing them.
Experience managing external auditors and tax consultants — scope, direct, push back.
Comfort vibe-coding scripts and small automations (Python, SQL, or equivalent) — for nexus monitoring, provision tie-outs, exposure modeling, pulling structured data from messy sources. Required, not optional. We're looking for a leader who'll write the scripts that replace the work, not just describe what should be automated.
A builder's instinct — comfort with ambiguity, no waiting for playbooks, strong bias to ship.
AI-native working style — you use LLMs daily and can talk concretely about what they do well and where they fall short for tax.
Strong written and verbal communication — you can translate tax for non-tax stakeholders without losing precision.
High integrity, high ownership, low ego.
Prior experience preparing a company for its first external audit and S-1 / IPO.
Prior experience standing up an in-house tax function at a high-growth company.
SaaS or AI-business tax experience — capitalized software, sales tax for SaaS, customer-base international expansion.
Multi-state employee mobility, RSU/ISO equity-comp tax mobility, and §83(b) coordination at scale.
Working knowledge of provision tools (OneSource, Corptax, Longview), sales tax engines (Avalara, Anrok, Vertex), and research platforms — and strong opinions about them.
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 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 scaling fast and our design practice must keep pace. We're looking for a Staff Product Designer who can ship world-class work across our most critical surfaces and, over time, transform how design operates inside the company. You'll frame problems across multiple product teams — developer workflows, evaluator journeys, and the interplay between them — co-author strategy with Product leadership, and own business outcomes. Voice AI is still defining its interaction patterns. You'll be inventing, not iterating.
Your first chapter: design system evolution and the product surfaces where design impact is most needed. As you build context and the team grows, your scope expands into broader practice transformation.
You'll report directly to the Director of Product Design. This is a Staff IC role — you'll raise the bar through craft, operational thinking, and durable enablement that lets a small team deliver outsized impact. You won't have direct reports initially, but as the team grows, this role has a natural path into people leadership. You're opinionated, instinct-driven, and move decisively when the path isn't clear.
Set the standard for end-to-end design quality across high-stakes surfaces — experience-driven, enterprise-grade, AI observability, and agent interfaces — from early concepts through production
Design for the full complexity of our domain: developer workflows, API and SDK experiences, and evaluator journeys — accounting for user needs, technical constraints, and business viability
Deliver interaction design and prototypes at a level of craft that sets the standard for the team
Drive our design system from AI-ready to AI-native — embedding AI into how the team designs, generates components, and maintains systems, with measurable improvements in speed, quality, and coherence
Shape what the team needs to learn and how it learns — establishing the research practices, insight architecture, and knowledge-sharing rhythms that ensure design decisions are grounded in evidence, not assumption
Set and uphold a high bar for execution across teams — faster cycles, higher quality, greater coherence across surfaces
Elevate how the team operates — sharpening how we brief work, share insights, make decisions visible, and hold cross-team initiatives to outcomes
Partner with cross-functional leadership to shape strategy, orchestrate initiatives, and build alignment
Mentor designers and contribute to hiring — elevating craft, sharpening problem framing, and establishing the quality bar that lets us scale
Get energized by being foundational — building from scratch and defining what \"good\" looks like for a growing design team
Thrive in ambiguity and define the approach, not just answer the request
Want to work across B2C, enterprise, and AI infrastructure surfaces — a breadth most designers never get in one role
See design as a strategic lever for business outcomes, not a service function
Are excited by a category still defining its interaction patterns — where the work is invention, not iteration
We care more about expertise and leadership than years of experience.
Exceptional craft across UI, interaction design, and prototyping — you make technically complex surfaces feel considered, ground your direction in research insights, and use prototyping as a thinking tool
A track record of driving cross-functional initiatives that reshaped how design operates in a product organization
Deep experience building and scaling design systems, with a point of view on how AI changes the relationship between systems, components, and production code
Strong business acumen — you connect your work to measurable outcomes at every level
Experience designing for developers or technical users — APIs, SDKs, documentation, and console workflows, not just UI
People leadership potential — you may not manage today, but you influence through craft, operational thinking, and earned trust
Experience designing for real-time, latency-sensitive, or multimodal experiences — voice, streaming, conversational AI, or audio products
Comfort designing for probabilistic systems — confidence levels, fallback states, graceful degradation
Background in high-growth B2B companies with both self-serve and enterprise motions
Familiarity with AI observability, usage analytics, or API management surfaces
Experience leading design system migrations or establishing governance at scale
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 enterprise voice agents, contact centers, and real-time speech applications. As we continue scaling our enterprise footprint, Global Systems Integrators (GSIs) are one of our highest-leverage routes to market. We are hiring a GSI Partner Manager / Director to build and scale Deepgram’s global GSI partner ecosystem from the ground up.
This is a highly strategic, builder-oriented role focused on developing and expanding relationships with GSIs such as Deloitte, Accenture, TCS, Capgemini, and BCG. You will define what an AI-native partner motion looks like at Deepgram — driving sell-to, sell-through, and sell-with motions while leveraging AI, automation, and data to scale impact far beyond a traditional alliances organization.
If you thrive in ambiguity, enjoy building from zero, and are excited about reshaping enterprise partnerships in the AI era, we’d love to meet you.
Build and execute Deepgram’s strategy across named GSI and consulting partners
Develop joint value propositions, account plans, solution plays, and executive governance cadences
Establish Deepgram as a strategic AI and voice partner within each organization
Lead and scale:
Sell-to motions: Embed Deepgram into partner AI platforms, accelerators, and delivery frameworks
Sell-through motions: Enable partners to package and deliver repeatable enterprise AI offerings
Sell-with motions: Co-sell into enterprise accounts alongside partner account teams and Deepgram sellers
Own partner-sourced and partner-influenced pipeline targets
Drive measurable revenue outcomes through strategic co-sell execution
Instrument forecasting, attribution, and reporting across the partner funnel
Partner with Product, Engineering, Solutions, and GTM teams to develop industry-specific offerings and reference architectures
Build scalable enablement programs including certifications, sales plays, demos, and technical training
Enable hundreds — and eventually thousands — of partner sellers and practitioners
This role is intentionally AI-forward. You will use AI systems, agents, automation, and workflows to scale partner operations efficiently and intelligently.
Examples include:
AI-generated partner briefs and enablement content
Automated account mapping and pipeline attribution
CRM and partner ecosystem automations
AI-driven identification of co-sell opportunities
Serve as a senior external face of Deepgram across executive briefings, partner summits, QBRs, and industry events
Develop a strong point of view on the future of Voice AI, enterprise AI transformation, and the GSI ecosystem
Collaborate closely with Enterprise Sales, Solutions Engineering, Product, Marketing, Legal, and Leadership teams
Remove friction and accelerate partner-driven revenue growth
8+ years of experience in Partner Management, Alliances, Business Development, or Enterprise Sales
3–5+ years directly managing GSI relationships such as Deloitte, Accenture, TCS, Capgemini, Infosys, EY, PwC, KPMG, or similar
Proven success building sell-to, sell-through, and sell-with motions
Demonstrated ability to build and scale partnerships from zero or early-stage environments
Strong understanding of how GSIs operate across alliances, verticals, delivery organizations, and executive sponsorship structures
Experience with enterprise AI ecosystems including LLMs, agentic AI, CCaaS, and cloud co-sell motions
Hands-on experience leveraging AI tools, automation, workflows, or internal systems to drive operational scale
Strong executive presence and ability to influence senior stakeholders internally and externally
Analytical mindset with strong operational rigor and pipeline ownership
High ownership mentality with comfort operating in fast-paced, ambiguous environments
Existing relationships within Deloitte, Accenture, TCS, Capgemini, BCG, or similar firms
Experience launching joint GSI offerings that resulted in repeatable enterprise engagements
Background in Voice AI, Speech AI, CCaaS, or adjacent ecosystems such as AWS Connect, Genesys, NICE, Five9, Salesforce, or ServiceNow
Experience building internal AI tooling, automations, or revenue workflows
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 enterprise voice agents, contact centers, and real-time speech applications. As we continue scaling our enterprise footprint, strategic technology partners are one of our highest-leverage routes to market. We are hiring a Strategic Partner Manager to build and scale Deepgram’s strategic technology partner ecosystem from the ground up.
This is a highly strategic, builder-oriented role focused on developing and expanding relationships with technology partners such as Genesys, Databricks, Snowflake, and Tier-1 telcos. You will define what an AI-native partner motion looks like at Deepgram — driving sell-to, sell-through, and sell-with motions while leveraging AI, automation, and data to scale impact far beyond a traditional alliances organization.
If you thrive in ambiguity, enjoy building from zero, and are excited about reshaping enterprise partnerships in the AI era, we’d love to meet you.
Build and execute Deepgram’s strategy across named technology partners including Genesys, Databricks, Snowflake, and major telecom providers
Develop joint value propositions, account plans, integration strategies, and executive governance cadences
Establish Deepgram as a strategic Voice AI and AI infrastructure partner within each ecosystem
Lead and scale:
Sell-to motions: Position Deepgram as an embedded Voice AI layer inside partner platforms and ecosystems
Sell-through motions: Enable partners to package and deliver repeatable AI-powered offerings to enterprise customers
Sell-with motions: Co-sell into enterprise accounts alongside partner field teams and Deepgram sellers
Own partner-sourced and partner-influenced pipeline targets
Drive measurable revenue outcomes through strategic co-sell execution
Instrument forecasting, attribution, and reporting across the partner funnel
Partner with Product, Engineering, Solutions, and GTM teams to develop integrations, marketplace listings, reference architectures, and industry-specific offerings
Build scalable enablement programs including certifications, sales plays, demos, integration kits, and technical training
Enable hundreds — and eventually thousands — of partner sellers, solution architects, and practitioners
This role is intentionally AI-forward. You will use AI systems, agents, automation, and workflows to scale partner operations efficiently and intelligently.
Examples include:
AI-generated partner collateral and enablement content
Automated account mapping and co-sell attribution
CRM and ecosystem workflow automations
AI-driven identification of co-sell opportunities and partner insights
Serve as a senior external face of Deepgram across executive briefings, alliance reviews, partner summits, and industry events
Develop a strong point of view on the future of Voice AI, enterprise AI transformation, and ecosystem partnerships
Collaborate closely with Enterprise Sales, Solutions Engineering, Product, Marketing, Legal, and Leadership teams
Remove friction and accelerate partner-driven revenue growth
8+ years of experience in Partner Management, Alliances, Business Development, or Enterprise Sales
3–5+ years directly managing strategic technology partnerships such as Genesys, Databricks, Snowflake, cloud hyperscalers, telecom providers, or adjacent ecosystems
Proven success building sell-to, sell-through, and sell-with motions
Demonstrated ability to build and scale strategic partnerships from zero or early-stage environments
Strong understanding of how technology ecosystems operate across product organizations, alliances, marketplaces, solution architecture, and enterprise field sales
Experience with enterprise AI ecosystems including LLMs, agentic AI, CCaaS/CX platforms, cloud infrastructure, or data platforms
Hands-on experience leveraging AI tools, automations, workflows, or internal systems to drive operational scale
Strong executive presence and ability to influence senior stakeholders internally and externally
Analytical mindset with strong operational rigor and pipeline ownership
High ownership mentality with comfort operating in fast-paced, ambiguous environments
Existing relationships within Genesys, Databricks, Snowflake, major telecom providers, or adjacent enterprise ecosystems
Experience launching integrations, marketplace listings, or joint partner solutions that resulted in repeatable customer engagements
Background in Voice AI, Speech AI, CCaaS, telecom APIs, or adjacent ecosystems such as AWS Connect, NICE, Five9, Salesforce, ServiceNow, or Twilio
Experience building internal AI tooling, automations, or revenue workflows
Deepgram is defining the future of Voice AI infrastructure. You’ll join a fast-growing, AI-native company at the center of enterprise transformation and have the opportunity to shape one of the company’s most strategic growth channels from the ground up.
","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 enterprise voice agents, contact centers, and real-time speech applications. As we continue scaling our enterprise footprint, strategic technology partners are one of our highest-leverage routes to market. We are hiring a Strategic Partner Manager to build and scale Deepgram’s strategic technology partner ecosystem from the ground up.\n\nThis is a highly strategic, builder-oriented role focused on developing and expanding relationships with technology partners such as Genesys, Databricks, Snowflake, and Tier-1 telcos. You will define what an AI-native partner motion looks like at Deepgram — driving sell-to, sell-through, and sell-with motions while leveraging AI, automation, and data to scale impact far beyond a traditional alliances organization.\n\nIf you thrive in ambiguity, enjoy building from zero, and are excited about reshaping enterprise partnerships in the AI era, we’d love to meet you.\n\n\nWHAT YOU’LL DO\n\n\nOWN THE STRATEGIC PARTNER STRATEGY\n\n - Build and execute Deepgram’s strategy across named technology partners including Genesys, Databricks, Snowflake, and major telecom providers\n\n - Develop joint value propositions, account plans, integration strategies, and executive governance cadences\n\n - Establish Deepgram as a strategic Voice AI and AI infrastructure partner within each ecosystem\n\n\nDRIVE PARTNER REVENUE MOTIONS\n\nLead and scale:\n\n - Sell-to motions: Position Deepgram as an embedded Voice AI layer inside partner platforms and ecosystems\n\n - Sell-through motions: Enable partners to package and deliver repeatable AI-powered offerings to enterprise customers\n\n - Sell-with motions: Co-sell into enterprise accounts alongside partner field teams and Deepgram sellers\n\n\nBUILD PARTNER-SOURCED PIPELINE\n\n - Own partner-sourced and partner-influenced pipeline targets\n\n - Drive measurable revenue outcomes through strategic co-sell execution\n\n - Instrument forecasting, attribution, and reporting across the partner funnel\n\n\nCREATE JOINT SOLUTIONS & ENABLEMENT\n\n - Partner with Product, Engineering, Solutions, and GTM teams to develop integrations, marketplace listings, reference architectures, and industry-specific offerings\n\n - Build scalable enablement programs including certifications, sales plays, demos, integration kits, and technical training\n\n - Enable hundreds — and eventually thousands — of partner sellers, solution architects, and practitioners\n\n\nOPERATE AI-NATIVELY\n\nThis role is intentionally AI-forward. You will use AI systems, agents, automation, and workflows to scale partner operations efficiently and intelligently.\n\nExamples include:\n\n - AI-generated partner collateral and enablement content\n\n - Automated account mapping and co-sell attribution\n\n - CRM and ecosystem workflow automations\n\n - AI-driven identification of co-sell opportunities and partner insights\n\n\nREPRESENT DEEPGRAM EXTERNALLY\n\n - Serve as a senior external face of Deepgram across executive briefings, alliance reviews, partner summits, and industry events\n\n - Develop a strong point of view on the future of Voice AI, enterprise AI transformation, and ecosystem partnerships\n\n\nPARTNER CROSS-FUNCTIONALLY\n\n - Collaborate closely with Enterprise Sales, Solutions Engineering, Product, Marketing, Legal, and Leadership teams\n\n - Remove friction and accelerate partner-driven revenue growth\n\n\nWHAT YOU BRING\n\n - 8+ years of experience in Partner Management, Alliances, Business Development, or Enterprise Sales\n\n - 3–5+ years directly managing strategic technology partnerships such as Genesys, Databricks, Snowflake, cloud hyperscalers, telecom providers, or adjacent ecosystems\n\n - Proven success building sell-to, sell-through, and sell-with motions\n\n - Demonstrated ability to build and scale strategic partnerships from zero or early-stage environments\n\n - Strong understanding of how technology ecosystems operate across product organizations, alliances, marketplaces, solution architecture, and enterprise field sales\n\n - Experience with enterprise AI ecosystems including LLMs, agentic AI, CCaaS/CX platforms, cloud infrastructure, or data platforms\n\n - Hands-on experience leveraging AI tools, automations, workflows, or internal systems to drive operational scale\n\n - Strong executive presence and ability to influence senior stakeholders internally and externally\n\n - Analytical mindset with strong operational rigor and pipeline ownership\n\n - High ownership mentality with comfort operating in fast-paced, ambiguous environments\n\n\nNICE TO HAVE\n\n - Existing relationships within Genesys, Databricks, Snowflake, major telecom providers, or adjacent enterprise ecosystems\n\n - Experience launching integrations, marketplace listings, or joint partner solutions that resulted in repeatable customer engagements\n\n - Background in Voice AI, Speech AI, CCaaS, telecom APIs, or adjacent ecosystems such as AWS Connect, NICE, Five9, Salesforce, ServiceNow, or Twilio\n\n - Experience building internal AI tooling, automations, or revenue workflows\n\n\nWHY DEEPGRAM\n\nDeepgram is defining the future of Voice AI infrastructure. You’ll join a fast-growing, AI-native company at the center of enterprise transformation and have the opportunity to shape one of the company’s most strategic growth channels from the ground up.","compensation":{"compensationTierSummary":"$160K – $190K • Offers Equity • $210k -$280k OTE","scrapeableCompensationSalarySummary":"$160K - $190K","compensationTiers":[{"id":"6a9f7f56-875e-47f0-945d-ca4529e7c58c","tierSummary":"San Francisco, NY, Seattle $235k-300k OTE Everywhere else $160K – $190K • Offers Equity • $210k -$280k OTE","title":null,"additionalInformation":"$210k -$280k OTE","components":[{"id":"a7f77d20-2204-431f-9934-b390b8a7a689","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"b1cb4a90-bb74-47a3-8eeb-dc7da053b5c8","summary":"San Francisco, NY, Seattle $235k-300k OTE Everywhere else $160K – $190K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":190000}]}],"summaryComponents":[{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":190000}]}},{"id":"aafbab17-4caa-4b87-811c-21acfc566cf4","title":"APAC Partner Business Development Manager","department":"Sales","team":"Business Development","employmentType":"FullTime","location":"Singapore","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-05-15T01:49:41.881+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":null,"jobUrl":"https://jobs.ashbyhq.com/deepgram/aafbab17-4caa-4b87-811c-21acfc566cf4","applyUrl":"https://jobs.ashbyhq.com/deepgram/aafbab17-4caa-4b87-811c-21acfc566cf4/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 enterprise voice agents, contact centers, and real-time speech applications. As we continue expanding globally, APAC represents one of our highest-growth strategic regions for partner-led expansion.
We are hiring an APAC Partner Business Development Manager to build and scale Deepgram’s partner ecosystem across ANZ, ASEAN, Japan, Korea, India, and Greater China. In this role, you will drive sell-to, sell-through, and sell-with motions alongside strategic partners including hyperscalers, ISVs, CCaaS/CX platforms, GSIs, telcos, and regional system integrators.
This is a highly cross-functional, builder-oriented role focused on growing partner-sourced and partner-influenced revenue across diverse APAC markets. You’ll work closely with Sales, Solutions Engineering, Product, Marketing, and global partner teams to establish Deepgram as a leading Voice AI platform in the region.
If you thrive in fast-moving environments, enjoy building new GTM motions, and are excited about shaping the future of AI partnerships in APAC, we’d love to meet you.
Build and manage strategic partner relationships across APAC
Develop joint value propositions, GTM plans, and regional co-sell motions tailored to local market dynamics
Establish Deepgram as a strategic Voice AI partner across key ecosystems in the region
Partner closely with hyperscalers, ISVs, CCaaS/CX platforms, GSIs, telcos, and regional integrators
Generate and accelerate partner-sourced and partner-influenced pipeline across APAC markets
Support co-sell opportunities through customer meetings, presentations, workshops, and negotiations
Identify, develop, and close new partner-driven opportunities across ANZ, ASEAN, Japan, Korea, India, and Greater China
Monitor pipeline progression and maintain strong forecasting discipline
Align regional execution with global revenue and partnership goals
Identify and onboard new strategic partners aligned with Deepgram’s platform and regional expansion priorities
Help launch new partner motions, regional programs, and GTM initiatives
Collaborate internally to develop partner enablement content, localized assets, and solution positioning
Participate in regional partner and customer engagements, both virtual and in-person
Stay informed on APAC market trends, competitive dynamics, AI adoption, regulatory requirements, and sovereign AI initiatives
Act as a strategic voice for APAC market needs internally
Proven experience in business development, partnerships, alliance management, or enterprise sales within the technology industry
Experience driving revenue through strategic partnerships and co-sell motions across APAC markets
Strong understanding of APAC business dynamics and experience operating across multiple regions including ANZ, ASEAN, Japan, Korea, India, and/or Greater China
Experience partnering with cloud providers, ISVs, GSIs, telcos, CCaaS/CX platforms, or regional system integrators
Excellent communication, negotiation, and relationship management skills
Analytical mindset with strong operational and forecasting discipline
Self-starter mentality with the ability to thrive in fast-paced, ambiguous environments
Strong cross-functional collaboration skills across global teams and time zones
Willingness to travel across APAC as needed
Experience within AI, Voice AI, Speech AI, CCaaS, or adjacent technology markets
Existing relationships within AWS, GCP, Azure, APAC GSIs, telcos, or regional ecosystem partners
Experience launching new partner motions or regional GTM programs from zero
Working proficiency in a second APAC language such as Mandarin, Japanese, Korean, or Bahasa
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
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're hiring our Senior Director of Accounting to lead the operational accounting function as Deepgram scales toward IPO. Reporting to — and working alongside — the Chief Accounting Officer, you'll lead the team that runs the monthly close, the general ledger, every sub-ledger (AP, AR, payroll), and the accounting systems — including the migration off Xero onto the platform we select for the next phase.
This is a senior leadership seat in a function being built in real time. We've never been audited. We're on a small-business ERP. The team is intentionally lean. The 18 months ahead require an accounting leader who has stood up the operational accounting function at first-audit, pre-IPO companies before — not someone who has only stewarded one.
You'll work in close partnership with an operationally engaged CAO. The CAO owns audit firm selection, the partner-level audit relationship, and treasury, and remains hands-on across close, ERP, and technical accounting partnership. You'll lead the team, lead the system, own delivery — and as the function matures, scale into broader scope.
What you'll do
Lead the operational accounting function. Monthly and quarterly close, GL integrity, sub-ledger architecture, and the systems that run them. Design the function for first-audit and the year that follows.
Lead the ERP migration. Partner with the CAO on platform selection (NetSuite, Rillet, Everest, and others under evaluation), then lead implementation end-to-end.
Lead the team. Operational accounting — close/GL, AP, AR, payroll, accounting systems. Develop the managers under you. Hire the layer beneath them. Set the bar for the function.
Operationalize technical accounting in partnership with the Director, Technical Accounting. Instrument the GL and sub-ledgers for ASC 718, 606, 842, 340, and 805. You don't write policy; you build the system that makes it executable.
Deliver Year-1 audit operationally. Stand up PBC delivery. Codify accounting policies in the system. Defend the opening balance sheet. The CAO owns the partner relationship; you own the system that delivers fieldwork.
Build the SOX control environment. Design the operational control perimeter from scratch, ahead of IPO. Effective, not heavy.
Lead the AI-native transformation of operational accounting. The system should get easier as the company grows.
Scale with the function. As scope expands, take on broader accounting leadership — succession planning, cross-functional finance partnership, board-level support to the CAO.
It would be great if you had
12+ years of accounting experience, with at least 6 in a senior operating role at a high-growth company. Pre-IPO or recently public is ideal.
Experience taking a company through its first audit — not its first audit at a new firm, its first ever.
Direct experience leading an ERP migration end-to-end at meaningful scale.
Track record of designing an operational accounting function — not just running one. You've made the architecture choices that shape what the team becomes.
Operational fluency in ASC 718, 606, and 842 — not policy authorship, but knowing what the GL and sub-ledgers need to deliver.
Experience standing up SOX from scratch.
Demonstrable AI-native practice you've built into a real accounting function — your team using AI daily, not just you.
Experience managing managers and developing senior leaders underneath you. Multi-entity exposure relevant as our footprint grows.
CPA preferred, not required.
Why join
This seat is one of the most leveraged operational accounting roles you will ever hold. You'll work alongside an engaged CAO to design a function that doesn't fully exist yet, lead the ERP migration that defines how it operates, take this company through its first audit, and stand up the controls that get us to IPO. The team is intentionally lean — the bar for hires is correspondingly high. The right candidate grows with the scope.
Deepgram is an Equal Opportunity Employer.
","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're hiring our Senior Director of Accounting to lead the operational accounting function as Deepgram scales toward IPO. Reporting to — and working alongside — the Chief Accounting Officer, you'll lead the team that runs the monthly close, the general ledger, every sub-ledger (AP, AR, payroll), and the accounting systems — including the migration off Xero onto the platform we select for the next phase.\n\nThis is a senior leadership seat in a function being built in real time. We've never been audited. We're on a small-business ERP. The team is intentionally lean. The 18 months ahead require an accounting leader who has stood up the operational accounting function at first-audit, pre-IPO companies before — not someone who has only stewarded one.\n\nYou'll work in close partnership with an operationally engaged CAO. The CAO owns audit firm selection, the partner-level audit relationship, and treasury, and remains hands-on across close, ERP, and technical accounting partnership. You'll lead the team, lead the system, own delivery — and as the function matures, scale into broader scope.\n\n\n\nWhat you'll do\n\n - Lead the operational accounting function. Monthly and quarterly close, GL integrity, sub-ledger architecture, and the systems that run them. Design the function for first-audit and the year that follows.\n\n - Lead the ERP migration. Partner with the CAO on platform selection (NetSuite, Rillet, Everest, and others under evaluation), then lead implementation end-to-end.\n\n - Lead the team. Operational accounting — close/GL, AP, AR, payroll, accounting systems. Develop the managers under you. Hire the layer beneath them. Set the bar for the function.\n\n - Operationalize technical accounting in partnership with the Director, Technical Accounting. Instrument the GL and sub-ledgers for ASC 718, 606, 842, 340, and 805. You don't write policy; you build the system that makes it executable.\n\n - Deliver Year-1 audit operationally. Stand up PBC delivery. Codify accounting policies in the system. Defend the opening balance sheet. The CAO owns the partner relationship; you own the system that delivers fieldwork.\n\n - Build the SOX control environment. Design the operational control perimeter from scratch, ahead of IPO. Effective, not heavy.\n\n - Lead the AI-native transformation of operational accounting. The system should get easier as the company grows.\n\n - Scale with the function. As scope expands, take on broader accounting leadership — succession planning, cross-functional finance partnership, board-level support to the CAO.\n\nIt would be great if you had\n\n - 12+ years of accounting experience, with at least 6 in a senior operating role at a high-growth company. Pre-IPO or recently public is ideal.\n\n - Experience taking a company through its first audit — not its first audit at a new firm, its first ever.\n\n - Direct experience leading an ERP migration end-to-end at meaningful scale.\n\n - Track record of designing an operational accounting function — not just running one. You've made the architecture choices that shape what the team becomes.\n\n - Operational fluency in ASC 718, 606, and 842 — not policy authorship, but knowing what the GL and sub-ledgers need to deliver.\n\n - Experience standing up SOX from scratch.\n\n - Demonstrable AI-native practice you've built into a real accounting function — your team using AI daily, not just you.\n\n - Experience managing managers and developing senior leaders underneath you. Multi-entity exposure relevant as our footprint grows.\n\n - CPA preferred, not required.\n\nWhy join\n\nThis seat is one of the most leveraged operational accounting roles you will ever hold. You'll work alongside an engaged CAO to design a function that doesn't fully exist yet, lead the ERP migration that defines how it operates, take this company through its first audit, and stand up the controls that get us to IPO. The team is intentionally lean — the bar for hires is correspondingly high. The right candidate grows with the scope.\n\nDeepgram is an Equal Opportunity Employer.\n\n","compensation":{"compensationTierSummary":"$175K – $219K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$175K - $219K","compensationTiers":[{"id":"0d3a45fa-f67f-4b4b-b767-d08b75b22ad8","tierSummary":"$175K – $219K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"183d7f07-3b31-4b9f-af49-bf52ed47d207","summary":"$175K – $219K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":219000},{"id":"c3af460a-453d-4e3e-b162-53677aec3377","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"a112ae3f-6456-4d46-bf0c-f2277e1c19d6","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":219000},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"c91de352-9f25-479e-8877-fbea9576a52c","title":"Head of AI Enablement Engineering","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-07-09T15:02:25.467+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/c91de352-9f25-479e-8877-fbea9576a52c","applyUrl":"https://jobs.ashbyhq.com/deepgram/c91de352-9f25-479e-8877-fbea9576a52c/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 ambition is to build a generational company with a small, exceptional team — which only works if every engineer and every function operates with serious AI leverage. We're looking for a Head of AI Enablement Engineering to own that mission end to end: making Deepgram one of the most AI-native companies in the world, in practice and not just in principle.
This is a build-first leadership role, not a steward or training role. You'll personally evaluate tools, build the agents and workflows that show what great looks like, and set the standards that the rest of the company adopts. You'll turn our AI-native strategy into shipped capability — reusable agents and skills, MCP integrations, paved-road workflows, and the enablement hub and patterns that let any team go from idea to working tool fast and safely. You'll partner closely with Engineering, Platform/Internal Tools, People Ops, and functional leaders across the company, and you'll be measured on real outcomes: adoption, productivity, and the quality of what people build.
You'll lead largely through building and influence, with the runway to grow a small team and a network of champions as the function scales. It's a high-visibility seat with executive sponsorship and a mandate to set direction where there is no established playbook.
Own and drive AI enablement engineering across Deepgram — the strategy, the standards, and the hands-on building that make AI leverage real in every function.
Personally evaluate, prototype with, and make the calls on the AI tools, agents, models, and orchestration layers Deepgram adopts; avoid tool sprawl and make pragmatic build-vs-buy decisions.
Build the reference implementations: reusable agents and skills, MCP servers, paved-road workflows, prompt and pattern libraries, and the enablement hub where the best internally-built tools are surfaced and elevated.
Set and run the company-wide AI adoption strategy — the metrics, milestones, and reporting cadence leadership uses to track progress, framed around measurable productivity and quality, not activity.
Partner with Platform/Internal Tools, Security, and Data to define guardrails that are embedded into platforms rather than enforced through gates — safe-use patterns, access, and data handling that make adoption easier, not harder.
Build and lead a distributed champions network embedded in teams, and grow a small central team over time as impact scales.
Partner with People Ops on AI-native onboarding and fluency, so new and existing teammates do real reps inside the tools and leave the system better than they found it.
Stay ahead of a fast-moving landscape and translate emerging AI capabilities into pragmatic, Deepgram-ready practice.
Want to define how an entire company works with AI — and you'd rather build the proof than write the memo.
Are energized by ambiguity and a blank page, and you set direction where there's no playbook yet.
Are hands-on and current: you build agents and workflows yourself and can sit across from senior engineers as a peer on day one.
Care about real outcomes — adoption, time saved, quality — not vanity metrics or shelf-ware.
Like operating across an org, bringing skeptical teams along through demonstrated value rather than mandate.
Believe a small, AI-leveraged team can outbuild a much larger one.
A strong engineering background with the hands-on ability to build production-quality agents, tools, and automations yourself.
Deep, current fluency with the modern AI tooling landscape — coding agents, LLM application patterns, prompting, retrieval, MCP/agent tooling, and orchestration.
A track record of driving technology adoption and changing how people work at scale, in environments that didn't start out asking for it.
The ability to operate across business and technical functions and influence without direct authority, including credibility with senior engineering leaders.
Strong product and platform instincts — you treat enablement as a product, with users, adoption, and a roadmap.
Excellent communication — you can demo, document, evangelize, and report outcomes to executives in plain language.
Comfort defining safe-use guardrails and data-handling practices in partnership with Security and Platform.
Experience standing up an AI enablement, developer productivity, or engineering effectiveness function from scratch.
Background building internal platforms or developer-facing tooling that engineers actually adopted.
Experience leading a small team and/or a distributed champions/center-of-excellence model.
Familiarity with enterprise AI search and knowledge tooling (e.g., Glean, Notion AI) and agent orchestration frameworks.
A point of view on measuring developer productivity and AI impact, with the nuance that entails.
Experience in a fast-moving, AI-native engineering organization.
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.
Senior Strategic Renewals Manager
This is a senior, customer-facing commercial role. You’ll own renewal negotiations end-to-end for our most strategic accounts — forecasting against consumption, building the commercial case, and defending value with data when a customer under-projects usage or a competitor undercuts on price. You’ll identify expansion opportunities through the renewal motion and partner directly with the Account Executive, who owns expansion strategy and execution. You’ll partner closely with RevOps as the commercial voice in shaping the systems, process, and reporting behind the renewal motion. Your primary focus will be customer-facing renewal strategy, negotiation, and deal execution, and your judgement from the field will help ensure the renewal motion scales with the right visibility, governance, and commercial discipline.
Own renewal negotiations end-to-end for a book of strategic, high-value accounts, leading commercial conversations directly with customer executives, procurement, and finance.
Forecast renewals in a consumption-based model by translating usage, pacing, and adoption trends into a defensible commercial projection, and hold the line when a customer’s self-reported forecast doesn’t match the data.
Build and negotiate pricing and packaging for usage-based agreements (committed-use, credit tiers, discount structures), structuring multi-year commitments that protect ARR and capture growth.
Identify expansion opportunities during the renewal motion by using usage, adoption, and customer goals to surface growth potential, then partner with the Account Executive to help shape the expansion strategy.
Quarterback cross-functional deal strategy across CS, Sales, Finance, RevOps, and Legal - aligning the internal team on a single commercial plan and clear next steps for each account.
Get ahead of churn and contraction risk with a clear point of view on value realization; lead the save and turnaround plays when an account is at risk.
Help shape the renewals motion as the function scales turning what works into a repeatable commercial motion, with the runway to lead a growing renewals team over time.
See a renewal as a commercial deal to be won, not a transaction to be processed, and you’ve carried a number against one.
Are at your best in a hard negotiation: a competing offer on the table, a budget freeze, a procurement team pushing for a cut. You hold value without losing the relationship.
Deep understanding of consumption-based revenue. You understand how usage, pacing, and commitment structures drive a renewal, and you can forecast and negotiate around all of it.
Want to operate as a strategic partner to customer executives, and you’re comfortable being the most commercially fluent person in the room.
10+ years in commercial, customer-facing roles such as Strategic Account Management, Account Executive, and / or Renewals Manager, with a track record of carrying and hitting commercial targets.
Demonstrated track record owning and closing complex commercial renewals/expansions for strategic accounts at a consumption-based company.
A track record structuring multi-year, multi-product commercial agreements and navigating procurement, legal, and finance to close them.
Strong forecasting discipline and the commercial judgment to know when a forecast is real and when it needs to be challenged.
Comfort working AI-first, you already use AI tools to research accounts, model scenarios, and prep negotiations, and you’d expect to do more of that here.
Experience at a consumption-based company, AI, data, infrastructure, cloud, or communications.
Exposure to a technical or developer-focused customer base.
A point of view on how renewals should work in an AI-native company, and ideas for how to build it here.
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 Technical Program Manager (Engineering) to drive execution across complex, cross-functional programs involving both software and hardware. In this role, you’ll work closely with our engineering and research teams to manage large-scale, technically demanding initiatives—from inception through delivery.
You’ll thrive here if you enjoy creating clarity out of complexity, organizing ambiguous requirements into coherent roadmaps, and getting into the technical weeds to keep programs moving forward. We’re looking for someone who has led large, multi-disciplinary initiatives and can partner with researchers, engineers, and business stakeholders to align teams and outcomes.
What You’ll Do
Own the end-to-end delivery of technical programs, many of which span hardware, software, and research efforts
Define workstreams, set milestones, and coordinate execution across multiple teams and functions
Serve as the connective tissue between engineering, research, product, and operations to ensure aligned priorities and timelines
Proactively identify and resolve bottlenecks, trade-offs, and interdependencies
Dive deep into technical topics to ensure risks are understood and addressed early
Build lightweight processes and tooling to help teams scale sustainably
You’ll Love This Role If You
Are passionate about building reliable, scalable, cutting-edge AI infrastructure
Enjoy optimizing complex distributed systems for performance and cost
Love solving challenging problems in compute, networking and storage at global scale
Are excited about working with cutting-edge GPU infrastructure, and frontier research in ML architecture
Want to work at the intersection of humans and AI/ML systems
It’s Important To Us That You Have
5+ years of program management experience leading large, cross-functional initiatives
Strong technical acumen—bonus if you’ve been an engineer or worked closely with applied-ML teams
Experience coordinating programs that touch both hardware and software domains
AI forward program management practices and processes
Proven ability to thrive in high-growth or startup environments
Comfortable navigating ambiguity and helping others do the same
Excellent communication and stakeholder management skills
It Would Be Great if You Had
Familiarity with AI/ML workloads and their infrastructure requirements
Knowledge of cost optimization for cloud and on-premise infrastructure
Experience with multi-region, multi-cloud infrastructure deployment
Background in performance optimization for distributed systems
Experience with software-defined infrastructure and networking
Certification and/or hands on experience with relevant cloud platforms (AWS, GCP, Azure)
Experience with software-defined infrastructure and networking
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 Technical Program Manager (AI Tooling & Systems) for Engineering to drive execution of large-scale ML infrastructure and AI tooling initiatives. In this role, you'll own the end-to-end delivery of programs that span model serving infrastructure, ML pipelines, internal AI tooling, and real-time inference systems—working closely with our ML engineers, research teams, and product to unlock capability at scale.
You'll thrive here if you enjoy creating clarity around complex ML system tradeoffs, building tools and processes that accelerate model development and deployment, and partnering across research, engineering, and product to align on technical strategy and execution.
Own end-to-end delivery of AI infrastructure programs—from model training pipelines and experiment tracking to inference serving and production monitoring
Define technical architecture, integration patterns, and rollout strategies for new ML systems and tooling (e.g., vector databases, model servers, evaluation frameworks, prompt engineering platforms)
Serve as connective tissue between ML research, ML engineering, product, and data teams to align on ML system requirements, capability roadmaps, and deployment timelines
Drive cost and latency optimization for real-time inference workloads at scale
Build lightweight internal tools and processes to accelerate ML iteration cycles (experiment tracking, model versioning, A/B testing infrastructure)
Identify and resolve technical bottlenecks in training pipelines, serving infrastructure, and model evaluation workflows
Work closely with ML practitioners to translate research breakthroughs into scalable, observable systems
Are passionate about building ML systems and infrastructure that powers frontier AI applications
Enjoy optimizing inference cost, latency, and throughput for LLM and multimodal workloads at scale
Love solving hard problems at the intersection of ML research and production systems (e.g., distillation, quantization, batching strategies)
Are excited about frontier model serving technologies, vector search, and real-time ML inference
Want to directly enable ML researchers and engineers to iterate faster and ship better models
5+ years of program management or technical leadership in ML infrastructure, ML platforms, or AI tooling (or equivalent)
Strong technical acumen in ML systems—ideally hands-on experience as an ML engineer, systems engineer, or ML infrastructure engineer
Experience coordinating cross-functional ML programs (e.g., model training → evaluation → serving → monitoring)
Proven ability to translate ML/research requirements into robust, scalable infrastructure
Comfortable working in ambiguity and helping teams navigate complex technical tradeoffs (e.g., accuracy vs. latency vs. cost)
Excellent communication with both technical and non-technical stakeholders
Familiarity with high-growth or startup environments
Hands-on experience with model serving frameworks (vLLM, TensorRT, TorchServe, or similar)
Experience optimizing LLM or speech/audio model inference (quantization, distillation, KV-cache optimization, batching strategies)
Familiarity with ML experiment tracking and versioning tools (MLflow, Weights & Biases, DVC, or similar)
Background in feature stores, vector databases, or real-time ML systems
Knowledge of cost optimization for GPU/ML workloads on cloud and on-premise infrastructure
Experience with multi-region model serving or edge deployment
Hands-on with relevant frameworks (PyTorch, CUDA, Hugging Face, etc.) or cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML)
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 research team produces some of the fastest and most accurate speech models in the world. The hardest, highest-leverage problem is what comes next: turning a promising research result into a model that ships reliably, serves at scale, and keeps its accuracy and latency promises under real production traffic. That path — from a checkpoint that works in a research notebook to a model running across our fleet — is where this role lives.
As an Applied ML Engineer, you will own and streamline the research-to-production pipeline. You'll work shoulder-to-shoulder with research scientists to take their models the last mile: hardening training and evaluation workflows, building the packaging and deployment paths that get new models into production safely, and closing the loop so the next model is faster and easier to ship than the last. You'll work across our custom infrastructure — a hybrid training and inference stack spanning our own GPU data centers and the cloud — and the in-house tooling that lets a research idea become a production model without a rewrite.
This is a builder role at the intersection of ML and systems engineering. You won't just hand models off; you'll own the mechanism that makes shipping models repeatable, measurable, and fast. It's a great fit whether you're a hands-on senior engineer who wants to go deep on the productionization problem, or a staff-level technical leader who wants to define how Deepgram builds and delivers models from research to scale. We'll set the level to your experience.
Own the research-to-production pipeline: take research checkpoints and turn them into production models, defining the repeatable path from a working result to a deployed, monitored, scaled service.
Partner directly with research scientists to productionize new models — translating experimental training and evaluation code into robust, reproducible, well-tested workflows.
Build and extend the tooling and abstractions that let researchers and engineers move models through training, evaluation, packaging, and deployment with minimal friction and maximal reproducibility.
Design and own model release gates — automated evaluation, regression detection, and quality/latency/throughput checks that decide whether a model is ready to ship.
Optimize models and serving for production: efficient inference, batching, memory and latency tuning, and the profiling work that turns a research model into something that performs economically at scale.
Strengthen the build and delivery layer for models on our custom infrastructure, spanning our GPU compute and cloud environments, so that shipping a model is fast, safe, and observable.
Establish benchmarking and validation that runs consistently from model development all the way through production, so performance and quality regressions are caught early.
Build the feedback loop: instrument production model behavior, surface what's working and what isn't, and feed it back to research to accelerate the next iteration.
Believe the last mile from research to production is the most important — and most underrated — problem in applied ML, and you want to own it.
Get satisfaction from turning a fragile, brilliant research prototype into something reliable that serves real traffic.
Like working at the seam between research and engineering, fluent enough in ML to partner with scientists and rigorous enough in systems to ship at scale.
Treat infrastructure and tooling as a product — you want researchers to move faster because of what you built.
Care about reproducibility, evaluation rigor, and measurable quality, not just getting a model out the door.
Want to ship, not just publish — you measure impact by what's running in production.
Strong software engineering fundamentals, with proficiency in Python and experience writing production-quality, well-tested ML code.
Hands-on experience taking ML models from research or prototype stage into production at scale — not just training models, but shipping and operating them.
A working understanding of the modern deep learning stack (e.g., PyTorch) and the realities of training, evaluating, and serving large models.
Experience building ML pipelines and tooling — training orchestration, evaluation harnesses, model packaging, deployment, or CI/CD for models.
Familiarity with serving and inference optimization — latency, throughput, batching, and resource efficiency for production model workloads.
Comfort operating across distributed systems and GPU compute, whether in the cloud, on bare metal, or both.
A collaborative, builder mindset — you can partner with researchers, scope an ambiguous problem, and drive it to a measurable result.
Experience with the research-to-production handoff specifically — building the systems and conventions that let research and engineering iterate together quickly.
Background in speech, audio, or other real-time/streaming ML domains.
Experience designing automated model evaluation and release-gating systems, including regression detection across model versions.
Familiarity with hybrid infrastructure spanning on-premise GPU clusters and cloud, and with workload orchestration across them.
Experience with inference optimization techniques (quantization, distillation, compilation, or runtime tuning) for production serving.
A track record of building internal platforms or developer-facing tooling that measurably improved how a team ships models.
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.
About the Company
In a world full of noise, we choose to listen. As a foundational AI company, we're not just turning speech into text and vice versa, but turning conversation into understanding. Every voice becomes data, every pause becomes insights, and every interaction becomes smarter than the last. Deepgram isn't just processing language, because we're in the business of understanding better than before.
Founded in 2015, Deepgram's voice-native foundation models—accessed through cloud APIs or as self-hosted/on-premises APIs—deliver unmatched accuracy, low latency, and competitive pricing. Having processed over 50,000 years of audio and transcribed over 1 trillion words, no organization in the world understands voice better than Deepgram.
Today, 200,000+ developers and 1,300+ organizations build on Deepgram, which raised a $130M Series C at a $1.3B+ valuation and is consistently ranked a G2 Leader in voice recognition and deep learning.
Team Overview
Voice is at an inflection point, and marketing is how the market finds out. This role owns Deepgram's demand-generation engine—the function that turns our voice-AI leadership into qualified pipeline and revenue. You’ll lead the strategy, performance, and execution of the company’s demand engine across integrated campaigns, paid media, web, events, and field. You’ll partner shoulder-to-shoulder with Sales and RevOps on the full funnel, grow and shape your team to accelerate our growth, and report to the CMO. We’ve got a huge opportunity, especially at the top of the funnel, and you’ll lead the charge in grabbing it
Key Goals
Own the demand-gen → revenue engine end to end: set the strategy and grow marketing-sourced qualified pipeline
Build a repeatable, AI-native demand system that compounds, not a calendar of one-off campaigns and events
Concentrate spend where Deepgram wins: lift pipeline contribution from teams embedding voice at scale
Improve pipeline efficiency—bring cost-per-opportunity down while holding or improving lead quality
Tighten the experiment-to-learning loop: run structured experiments per quarter, each with a documented readout that changes the next bet
Partner with Sales and RevOps to lift lead → opportunity → closed-won conversion
Build and develop the team: hire, level, and grow an inclusive, high-performing revenue marketing org
Stand up attribution and reporting that gives the exec team and board a clear line of sight from spend to revenue
Minimum Skills, Knowledge, & Capabilities
Operates AI-native: designs human+AI demand-gen workflows as the default operating mode, not occasional AI use
Builds systems that eliminate recurring work (campaign ops, lead routing, reporting) instead of re-solving them every quarter
Reasons from first principles: rebuilds a leaky funnel rather than spending more to scale it
Sets strategy and direction for a multi-team function and translates company goals into clear direction for the teams below
Develops and holds a team of managers and ICs accountable; owns results, hiring, and the bar for the function
Owns a budget and allocates it to the highest-leverage bets; goes deep where Deepgram wins rather than wide
Turns pipeline and revenue data into a clear, honest narrative for executives and the board
Owns the full revenue funnel cross-functionally (Sales, Product, RevOps) — not just top-of-funnel MQLs
Preferred Qualifications (nice-to-have, not required)
12 or more years of experience in B2B SaaS marketing, including senior leadership in growth/demand generation/revenue marketing
Has scaled marketing for a developer-first / API / technical B2B product
Has driven pipeline and revenue in both product-led and sales-led environments
Has built or owned an AI-native marketing workflow or system before, not just used AI tools occasionally
Fluency with a modern revenue-marketing and analytics stack (marketing automation, attribution, intent/ABM tooling)
Our Values
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.
","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\nAbout the Company\n\nIn a world full of noise, we choose to listen. As a foundational AI company, we're not just turning speech into text and vice versa, but turning conversation into understanding. Every voice becomes data, every pause becomes insights, and every interaction becomes smarter than the last. Deepgram isn't just processing language, because we're in the business of understanding better than before.\n\nFounded in 2015, Deepgram's voice-native foundation models—accessed through cloud APIs or as self-hosted/on-premises APIs—deliver unmatched accuracy, low latency, and competitive pricing. Having processed over 50,000 years of audio and transcribed over 1 trillion words, no organization in the world understands voice better than Deepgram.\n\nToday, 200,000+ developers and 1,300+ organizations build on Deepgram, which raised a $130M Series C at a $1.3B+ valuation and is consistently ranked a https://www.g2.com/categories/voice-recognitionG2 Leader in voice recognition and deep learning.\n\nTeam Overview\n\nVoice is at an inflection point, and marketing is how the market finds out. This role owns Deepgram's demand-generation engine—the function that turns our voice-AI leadership into qualified pipeline and revenue. You’ll lead the strategy, performance, and execution of the company’s demand engine across integrated campaigns, paid media, web, events, and field. You’ll partner shoulder-to-shoulder with Sales and RevOps on the full funnel, grow and shape your team to accelerate our growth, and report to the CMO. We’ve got a huge opportunity, especially at the top of the funnel, and you’ll lead the charge in grabbing it\n\nKey Goals\n\n - Own the demand-gen → revenue engine end to end: set the strategy and grow marketing-sourced qualified pipeline\n\n - Build a repeatable, AI-native demand system that compounds, not a calendar of one-off campaigns and events\n\n - Concentrate spend where Deepgram wins: lift pipeline contribution from teams embedding voice at scale\n\n - Improve pipeline efficiency—bring cost-per-opportunity down while holding or improving lead quality\n\n - Tighten the experiment-to-learning loop: run structured experiments per quarter, each with a documented readout that changes the next bet\n\n - Partner with Sales and RevOps to lift lead → opportunity → closed-won conversion\n\n - Build and develop the team: hire, level, and grow an inclusive, high-performing revenue marketing org\n\n - Stand up attribution and reporting that gives the exec team and board a clear line of sight from spend to revenue\n\nMinimum Skills, Knowledge, & Capabilities\n\n - Operates AI-native: designs human+AI demand-gen workflows as the default operating mode, not occasional AI use\n\n - Builds systems that eliminate recurring work (campaign ops, lead routing, reporting) instead of re-solving them every quarter\n\n - Reasons from first principles: rebuilds a leaky funnel rather than spending more to scale it\n\n - Sets strategy and direction for a multi-team function and translates company goals into clear direction for the teams below\n\n - Develops and holds a team of managers and ICs accountable; owns results, hiring, and the bar for the function\n\n - Owns a budget and allocates it to the highest-leverage bets; goes deep where Deepgram wins rather than wide\n\n - Turns pipeline and revenue data into a clear, honest narrative for executives and the board\n\n - Owns the full revenue funnel cross-functionally (Sales, Product, RevOps) — not just top-of-funnel MQLs\n\nPreferred Qualifications (nice-to-have, not required)\n\n - 12 or more years of experience in B2B SaaS marketing, including senior leadership in growth/demand generation/revenue marketing\n\n - Has scaled marketing for a developer-first / API / technical B2B product\n\n - Has driven pipeline and revenue in both product-led and sales-led environments\n\n - Has built or owned an AI-native marketing workflow or system before, not just used AI tools occasionally\n\n - Fluency with a modern revenue-marketing and analytics stack (marketing automation, attribution, intent/ABM tooling)\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\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","compensation":{"compensationTierSummary":"$230K – $300K • Offers Equity • Offers Bonus","scrapeableCompensationSalarySummary":"$230K - $300K","compensationTiers":[{"id":"0f54b46a-6d2d-4984-b7b3-25a9fc09d136","tierSummary":"$230K – $300K • Offers Equity • Offers Bonus","title":null,"additionalInformation":null,"components":[{"id":"0c293ed3-1d17-4ebe-8c0c-564dd7b8120e","summary":"$230K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":230000,"maxValue":300000},{"id":"8afc3953-61ea-480a-b63b-02cb7c587550","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"61243aa7-47b2-41d7-a88d-3e31d19efd4b","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":230000,"maxValue":300000},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"a0188b8a-d580-4f13-8925-13f41a84aa8c","title":"Customer Success Engineer - German Speaker (Switzerland)","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"Switzerland","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-07-07T17:26:51.021+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":null,"jobUrl":"https://jobs.ashbyhq.com/deepgram/a0188b8a-d580-4f13-8925-13f41a84aa8c","applyUrl":"https://jobs.ashbyhq.com/deepgram/a0188b8a-d580-4f13-8925-13f41a84aa8c/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.
Remote · Full-Time · Customer Success
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.
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 AI models are among the fastest and most accurate in the world — and the next wave of voice experiences won't live only in the cloud. They'll run directly on the small, low-power devices people carry, wear, and keep around their homes: phones, earbuds, wearables, appliances, cameras, and purpose-built consumer hardware. Putting state-of-the-art speech models on devices with tight memory, compute, thermal, and battery budgets is a fundamentally different engineering problem, and it's one of the most important frontiers for bringing voice AI to everyone.
As an Embedded AI Engineer, you will take Deepgram's models and make them run — fast, accurately, and efficiently — on resource-constrained embedded and edge platforms. You'll work across the stack: optimizing and compiling models for on-device inference, writing performance-critical runtime code, and squeezing every last millisecond and milliwatt out of a wide range of mobile application processors, embedded SoCs, microcontrollers, and dedicated AI accelerators. Your work directly enables a new class of private, offline-capable, real-time voice experiences on the devices closest to the user.
This role is a great fit whether you're a hands-on senior embedded engineer who wants to go deep on a hard problem, or a staff-level technical leader who wants to define how Deepgram's voice AI gets onto consumer hardware and raise the bar for the engineers around you. We'll set the level to your experience.
Take Deepgram's Speech and Conversational models and get them running on embedded and low-power consumer hardware — defining the architecture for on-device, real-time inference across a diverse range of processors and accelerators.
Optimize models for constrained targets through quantization, pruning, distillation, operator fusion, and architecture-specific compilation to meet strict latency, memory, power, and thermal budgets.
Write and optimize performance-critical runtime code (C, C++, and/or Rust) for embedded environments, including bare-metal and real-time operating systems such as FreeRTOS and Zephyr.
Integrate with industry-standard edge inference runtimes and vendor NPU/DSP toolchains, mapping model graphs efficiently onto on-device accelerators and CPU/GPU/NPU heterogeneity.
Build the on-device runtime plumbing: model packaging, deployment pipelines, over-the-air update mechanisms, and lightweight telemetry for devices operating with limited or intermittent connectivity.
Establish repeatable benchmarking and validation across target hardware — measuring latency, accuracy, power consumption, memory footprint, and resource utilization — and catch regressions before they ship.
Partner with silicon and device vendors on SDK integration and performance tuning, getting our models to run efficiently on new chipsets and reference platforms.
Collaborate with Research and Engine teams to influence model architectures toward edge-friendly designs from the start, reducing the optimization burden at deployment time.
Find deep satisfaction in making a large model run on a tiny device — and still hit accuracy and latency targets.
Want to work at the intersection of AI and hardware, where optimization isn't optional but existential.
Are energized by the back-and-forth of getting a model to sing on a new chipset, runtime, or accelerator.
Believe on-device AI is the next major deployment frontier and want to define how speech AI gets there for consumers.
Prefer hard, constrained, ship-it problems over open-ended research — you want to see your work running in people's hands.
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.
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.
Role Overview
You'll own Deepgram's full invoice-to-pay function as we build the finance team from the ground up. It's a build-first role: you'll manage an outsourced contractor on invoice prep, partner with a second approver on payments, and have room to grow your scope — and a team — over time.
Key Goals
Build and own the full invoice-to-pay cycle — intake, coding, approvals, payment
Automate the cycle toward touchless: AI-driven ingestion, coding, and duplicate detection
Own month-end AP close — accruals, cutoff, subledger-to-GL tie-out, aging
Stand up AP analytics that change how the function runs
Get AP audit-ready ahead of our first external audit
Lead AP setup and migration through our ERP move
Own the Ramp card program, vendor/tax compliance (W-9/W-8, 1099s), and AP sales/use tax
Minimum Skills, Knowledge & Capabilities
You take a function and run it, rather than waiting for work to be handed to you
You work AI-native — you've built AP workflows others now use, and can show them
You turn repeat work into reusable tools — a script, rule set, or checklist a teammate adopts
You review others' prep work sharply — catching errors without redoing or rubber-stamping it
You think in controls and audit evidence — three-way match, exceptions, documentation
You judge ERPs on their merits, not by defaulting to one name
Preferred Qualifications
Owned AP close and controls in an audited environment, or equivalent experience
Set up or migrated AP in a modern ERP
Built an AI-assisted finance workflow a team adopted
Typically ~5–8 years in AP / accounting ops, or equivalent
Our Values
Be Curious — challenge the status quo and ask 'how might we?'
Do the Right Thing — act with integrity and candor; choose ethics over expediency
Think Smart. Act Fast. — weigh the options, decide, and move
Put the Customer First — listen with empathy and let their success drive ours
Grow Together — treat feedback as a gift and leave the drama out
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.
Saga is Deepgram’s consumer facing application - this application lets people control their tools, workflows, and environments using natural speech. Deepgram Saga is an innovative voice OS designed for professionals, enabling hands-free control of their workflow through natural language. It integrates seamlessly with existing tools like Slack, Linear, and Notion, allowing them to execute tasks via voice commands, thereby reducing context-switching and enhancing productivity.
We're a full-stack team that values high-quality, iterative delivery and thoughtful code design. We function like a startup within a startup, characterized by our scrappiness and adaptability. Our backend services are built with Node.js and Socket.io, chosen for its performance, developer velocity, and strong ecosystem. We use TypeScript to add type safety and improve maintainability across our codebase. On the frontend, we use React and Next.js to deliver fast, resilient user experiences with server-side rendering, dynamic routing, and seamless integration with our voice-native workflows. Across the stack, we care deeply about schema clarity, performance, and long-term maintainability.
Build, ship, and maintain backend services using Node.js, Socket.IO, AWS Amplify, and DynamoDB
Work across the frontend with TypeScript, React, Next.js
Design and integrate APIs using both REST and GraphQL, supporting flexible, scalable data access across services
Develop deep expertise in a few areas while remaining comfortable diving into new parts of the codebase
Participate in code reviews and architecture discussions, fostering a culture of clarity, curiosity, and shared ownership
Translate high-level product requirements into parallelizable, incrementally releasable tasks
Balance short-term deliverables with long-term investments in efficiency, scalability, and performance
3+ years of experience on a full-stack engineering team, building and maintaining production-grade services
Professional experience with TypeScript, including API development, backend service design, and system integration
Experience building user interfaces through reusable, composable components—favoring clarity, encapsulation, and predictable state management.
Proven ability to optimize database performance through thoughtful schema design, query tuning, and indexing strategies
Strong communication skills and the ability to navigate technical tradeoffs in a collaborative, cross-functional environment
Experience with AWS Amplify
Familiarity with Electron and building cross-platform desktop (or mobile) applications
Experience integrating with LangChain, or other LLM orchestration frameworks
Comfort working in startup environments, where ambiguity, speed, and scrappy problem-solving are the norm
A self-starting mindset with the ability to scope, prioritize, and execute independently
Strong product intuition and curiosity about how users interact with emerging interfaces
Prior experience with voice technology and AI-driven applications
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 partners, product, and growth. We don’t just “manage accounts.” We make Deepgram succeed inside our partners’ 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 Partner Success Engineer, Infrastructure is a hands-on customer success representative who drives joint adoption, solves hard technical problems, uncovers expansion, and owns a portfolio of strategic infrastructure partners end to end. This is a specialized seat focused on the silicon, hardware, cloud, inference, and security platforms that Deepgram’s voice AI runs on — the partners whose chips, servers, accelerators (CPU/GPU/NPU), cloud and inference platforms, on-device and edge runtimes, and confidential-computing or model-security layers determine where and how our models can be deployed.
Increasingly, our largest opportunities depend on meeting customers wherever their data and compute live — self-hosted, on-premises, air-gapped, single-tenant dedicated, and at the edge. The infrastructure partners in this portfolio are how we get there, both as a distribution channel and as the technical foundation for secure, performant deployment. You’ll own that motion: turning deep technical validation into joint go-to-market, co-sell, and durable channel growth.
You’re not a traditional CSM, Technical Account Manager or Partner Manager. You operate at the intersection of three competencies, and you’re genuinely strong across all three:
Expert technical consulting — you run demos, guide deployment architecture discussions, troubleshoot integrations, and help partners and their customers stand up Deepgram across self-hosted, on-prem, dedicated, and edge environments. No coding required, but you’re fluent in APIs, containers and orchestration, inference on GPUs/accelerators, and real technical conversations.
Strategic partner management — you build trust from individual developers and platform engineers up to CTOs, own the full partner lifecycle, and turn technical adoption into channel growth across OEMs, distributors, cloud and inference providers, and other multi-party commercial relationships.
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 Partner Manager, Channel Manager, Technical Account Manager, Solutions, Deployment, or Sales Engineer, Implementation or Infrastructure Engineer, strategic CSM, or Support Engineer — ideally with exposure to infrastructure, platform, or hardware ecosystems. 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 strategic infrastructure partners, engaging everyone from developers and platform/ML engineers to CIOs and CTOs.
Own the full partner lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.
Drive joint adoption through live demos, workshops, deployment architecture guidance, benchmarking, troubleshooting, and best-practice recommendations — making Deepgram successful inside the partner’s environment and on the partner’s hardware and platforms.
Lead joint technical validation: scope and run POCs and evaluations that prove Deepgram models on partner infrastructure across self-hosted, on-prem, air-gapped, dedicated, and on-device/edge deployments, including security-sensitive and regulated use cases.
Run discovery continuously: surface partner problems, understand their business impact, and translate them into actionable requirements for product and engineering.
Identify and scope expansion (cross-sell, upsell, multi-product, co-sell) in partnership with Sales, and activate partner channels — OEMs, distributors, marketplaces, and cloud/inference providers — to reach their customer base. Lead executive business reviews and joint planning sessions.
Support joint go-to-market and co-marketing in partnership with Marketing — joint blogs, one-pagers, PR, and live demos at partner events and industry conferences — to drive awareness and activate the channel.
Act as the voice of the partner internally — influencing roadmap (especially deployment, self-hosted, security, and edge), GTM strategy, and the tools we build to support partners.
Track adoption, usage, health, and expansion to drive outcomes; travel to partner sites and events as needed.
Operate AI-first by default, and build tools, agents, and workflows that eliminate recurring work for you and the broader team. Your impact is measured by the leverage you create, not just the partners you serve.
Significant experience in technical, customer-facing roles — TAM, sales/solutions/deployment engineering, partner or enterprise CS with a strong technical focus, implementation, or support — at API-driven, developer-first, infrastructure, 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 partner or customer ownership with technical depth: solution and deployment design, hands-on troubleshooting, and commercial growth.
Hands-on experience running demos, POCs, or technical workshops with enterprise partners or customers — leading them, not just attending.
Fluency discussing APIs, integrations, and developer workflows, and troubleshooting L1-style issues (no coding required, but genuinely conversant — not hand-waving).
Working understanding of deployment and infrastructure: containers and orchestration (Docker, Kubernetes/Helm), inference on GPUs/accelerators, and the trade-offs across self-hosted, on-prem, air-gapped, dedicated, and edge/on-device deployments — including basic latency, throughput, and benchmarking concepts.
Demonstrated success identifying and landing expansion in complex enterprise or partner accounts.
A strong understanding of partner ecosystems and channel business models — resale, referral, integrations, co-marketing, co-selling — and multi-party commercial dynamics, ideally including hardware/silicon, cloud and inference providers, or OEM/distributor channels.
Experience engaging both technical stakeholders (developers, platform and ML engineers, 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.
Familiarity with GPU/accelerator infrastructure and inference optimization — quantization, model serving, throughput/latency tuning, or benchmarking.
Exposure to confidential computing, trusted execution environments, model/weight security, or deployments in regulated industries.
Experience with on-device or edge AI deployment across CPU/GPU/NPU targets, model catalogs, or hardware optimization toolchains.
Telephony / CCaaS / CPaaS background (e.g., Twilio, Genesys) — maps directly to our partner ecosystem.
A background spanning solutions/deployment engineering, TAM, or L1 support alongside CS or partner responsibilities.
Familiarity with channel/partner marketing, enablement programs, or technical enablement asset creation.
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.
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 wins when developers can go from API key to production with as little friction as possible. As a Staff Developer Experience Engineer, you’ll own the systems that make that happen—from our SDK architecture and code-generation pipeline to the tooling, documentation, and integrations developers rely on every day.
This is a deeply technical engineering role, not a traditional Developer Relations position. You’ll build and evolve the foundation behind our multi-language SDKs, improve the developer journey across every touchpoint, and remove friction before developers ever encounter it. Working closely with Engineering, Product, Partnerships, and Developer Relations, you’ll help define the standards for developer experience across the platform.
Success in this role means making Deepgram the easiest voice AI platform to build on: faster time to first API call, better SDKs, fewer support issues, and an experience that developers genuinely enjoy using.
Real-time, streaming SDKs. Our SDKs wrap low-latency WebSocket APIs for speech-to-text, text-to-speech, and Voice Agents. The hard, interesting parts are streaming, partial and interim results, reconnection and backpressure, and concurrency.
Multiple languages and tech stacks. Python, JavaScript/TypeScript, Go, Rust, .NET, and Java today, with a persistent eye on what developers are building with.
Open source, in the open. The SDKs are public on GitHub. You own the repos, work in the open, and engage directly with external contributors, issues, and PRs.
Spec-driven, generated SDKs. The libraries are generated from a shared API specification, so much of the craft lives in the generation pipeline and templates rather than hand-writing each library, which is exactly the architecture this role owns.
The wider surface. A CLI, the documentation and reference experience, and starter repos and reference integrations for the partner stacks developers build voice agents on, like Pipecat, LiveKit, AWS, and Twilio.
Own the direction of developer experience. Set the DX roadmap (what we build, in what order, and why) and act as the technical lead for the area without direct reports. You're the person Product, Engineering, and Partnerships come to for the DX point of view, and the one who represents it in planning.
Own the SDK code-generation architecture. Design and own the system that produces our SDKs, so every supported library ships predictably and adding a new language is a known, low-cost effort rather than a one-off project.
Set the standard for how developers experience the platform. Define the quality bar, cross-language parity, versioning and release discipline, and observability across all of our SDKs. These are the standards the rest of the team builds against.
Raise the level of everyone who touches the SDK surface. Through code review, patterns, documentation, and pairing, you make the engineers around you better at developer experience, leading through influence rather than management.
Attack friction at the root. Find the systemic causes that slow developers down across whole segments and fix them once, structurally, before developers ever hit them.
Build the tooling the whole team relies on. The code-generation pipeline, CI and supporting infrastructure, starter repositories, and context that both human developers and AI coding agents can build on (including emerging standards like llms.txt).
Design for resilience and longevity. Build documentation, automation, and architecture that the whole team can operate and extend, so the work lasts and scales beyond any one person.
Be the technical voice into Product, Engineering, Marketing, and Partnerships. Give cross-functional stakeholders the context and technical input they need to make good decisions about the developer-facing surface across our partner ecosystem.
A track record of owning developer-facing tooling across multiple languages. Starts with libraries, and expands to the SDK generators, templates, and release automation that produce them, with direction others built against.
AI as part of how you build. You use AI as real infrastructure in your workflow. Think agentic pipelines, custom tooling, and generators you've authored and rely on daily, with strong verification discipline. (Be ready to talk about the most complex AI system you've built recently.)
An instinct to build reusable systems. Your standout work is something that outlived you. It could be a generator, automation, pipeline, or architecture that others adopted.
First-principles reasoning about systems. You think about SDKs, code generation, and partner ecosystems as systems. They have inputs, outputs, feedback loops, and boundaries.
Production ownership instincts. You treat production SDKs as production: observability, incident response, backward-compatibility discipline, and a bias toward removing recurring toil.
Range beyond your core. You go deep on developer experience and tooling, and you can pick up developer content, demos, or community work when the moment calls for it.
You think in developer outcomes, not just shipped code: you connect SDK and docs work to product activation and retention.
You set the standards for our SDKs and developer tooling, and the rest of the team adopts them.
The team has a clear direction for developer experience, and follows it, because you set it; and the engineers around you get better at DX because of how you work.
You're a recognized authority on developer experience; engineers and partners reference your work at the integration layer.
More signups reach a successful first call, and fewer drop at integration, because the SDKs and docs make activation effortless.
Support load drops, because the tooling and documentation answer the question first.
The hardest, least-defined problems in our developer experience get named and solved, often before anyone else has spotted them.
Deepgram wins when developers move from \"is this possible?\" to \"this is in production\" with zero friction. For almost every developer, that path runs through an SDK: it's where a new signup either makes a successful first call or quietly drops, which makes it one of the highest-leverage activation points in our product-led growth funnel. As a Staff Developer Experience Engineer, you own that surface and the architecture behind it: you don't just tell developers what's possible, you build the path that makes it effortless.
","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 wins when developers can go from API key to production with as little friction as possible. As a Staff Developer Experience Engineer, you’ll own the systems that make that happen—from our SDK architecture and code-generation pipeline to the tooling, documentation, and integrations developers rely on every day.\n\nThis is a deeply technical engineering role, not a traditional Developer Relations position. You’ll build and evolve the foundation behind our multi-language SDKs, improve the developer journey across every touchpoint, and remove friction before developers ever encounter it. Working closely with Engineering, Product, Partnerships, and Developer Relations, you’ll help define the standards for developer experience across the platform.\n\nSuccess in this role means making Deepgram the easiest voice AI platform to build on: faster time to first API call, better SDKs, fewer support issues, and an experience that developers genuinely enjoy using.\n\n\n\n\n\n\nWHAT YOU'LL WORK WITH\n\n - Real-time, streaming SDKs. Our SDKs wrap low-latency WebSocket APIs for speech-to-text, text-to-speech, and Voice Agents. The hard, interesting parts are streaming, partial and interim results, reconnection and backpressure, and concurrency.\n\n - Multiple languages and tech stacks. Python, JavaScript/TypeScript, Go, Rust, .NET, and Java today, with a persistent eye on what developers are building with.\n\n - Open source, in the open. The SDKs are public on GitHub. You own the repos, work in the open, and engage directly with external contributors, issues, and PRs.\n\n - Spec-driven, generated SDKs. The libraries are generated from a shared API specification, so much of the craft lives in the generation pipeline and templates rather than hand-writing each library, which is exactly the architecture this role owns.\n\n - The wider surface. A CLI, the documentation and reference experience, and starter repos and reference integrations for the partner stacks developers build voice agents on, like Pipecat, LiveKit, AWS, and Twilio.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the direction of developer experience. Set the DX roadmap (what we build, in what order, and why) and act as the technical lead for the area without direct reports. You're the person Product, Engineering, and Partnerships come to for the DX point of view, and the one who represents it in planning.\n\n - Own the SDK code-generation architecture. Design and own the system that produces our SDKs, so every supported library ships predictably and adding a new language is a known, low-cost effort rather than a one-off project.\n\n - Set the standard for how developers experience the platform. Define the quality bar, cross-language parity, versioning and release discipline, and observability across all of our SDKs. These are the standards the rest of the team builds against.\n\n - Raise the level of everyone who touches the SDK surface. Through code review, patterns, documentation, and pairing, you make the engineers around you better at developer experience, leading through influence rather than management.\n\n - Attack friction at the root. Find the systemic causes that slow developers down across whole segments and fix them once, structurally, before developers ever hit them.\n\n - Build the tooling the whole team relies on. The code-generation pipeline, CI and supporting infrastructure, starter repositories, and context that both human developers and AI coding agents can build on (including emerging standards like llms.txt).\n\n - Design for resilience and longevity. Build documentation, automation, and architecture that the whole team can operate and extend, so the work lasts and scales beyond any one person.\n\n - Be the technical voice into Product, Engineering, Marketing, and Partnerships. Give cross-functional stakeholders the context and technical input they need to make good decisions about the developer-facing surface across our partner ecosystem.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - A track record of owning developer-facing tooling across multiple languages. Starts with libraries, and expands to the SDK generators, templates, and release automation that produce them, with direction others built against.\n\n - AI as part of how you build. You use AI as real infrastructure in your workflow. Think agentic pipelines, custom tooling, and generators you've authored and rely on daily, with strong verification discipline. (Be ready to talk about the most complex AI system you've built recently.)\n\n - An instinct to build reusable systems. Your standout work is something that outlived you. It could be a generator, automation, pipeline, or architecture that others adopted.\n\n - First-principles reasoning about systems. You think about SDKs, code generation, and partner ecosystems as systems. They have inputs, outputs, feedback loops, and boundaries.\n\n - Production ownership instincts. You treat production SDKs as production: observability, incident response, backward-compatibility discipline, and a bias toward removing recurring toil.\n\n - Range beyond your core. You go deep on developer experience and tooling, and you can pick up developer content, demos, or community work when the moment calls for it.\n\n - You think in developer outcomes, not just shipped code: you connect SDK and docs work to product activation and retention.\n\n\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - You set the standards for our SDKs and developer tooling, and the rest of the team adopts them.\n\n - The team has a clear direction for developer experience, and follows it, because you set it; and the engineers around you get better at DX because of how you work.\n\n - You're a recognized authority on developer experience; engineers and partners reference your work at the integration layer.\n\n - More signups reach a successful first call, and fewer drop at integration, because the SDKs and docs make activation effortless.\n\n - Support load drops, because the tooling and documentation answer the question first.\n\n - The hardest, least-defined problems in our developer experience get named and solved, often before anyone else has spotted them.\n\n\n\n\nWHY THIS ROLE MATTERS\n\nDeepgram wins when developers move from \"is this possible?\" to \"this is in production\" with zero friction. For almost every developer, that path runs through an SDK: it's where a new signup either makes a successful first call or quietly drops, which makes it one of the highest-leverage activation points in our product-led growth funnel. As a Staff Developer Experience Engineer, you own that surface and the architecture behind it: you don't just tell developers what's possible, you build the path that makes it effortless.","compensation":{"compensationTierSummary":"$219.3K – $276.8K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$219.3K - $276.8K","compensationTiers":[{"id":"33117dbd-4f8b-496c-aa99-eaf343e77585","tierSummary":"$246K – $276.8K • Offers Equity • Offers Bonus","title":"San Francisco, New York, Seattle","additionalInformation":null,"components":[{"id":"ee182e33-a0d3-4850-810e-9c6fed095465","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"5406a276-4297-44eb-b922-2f022ba53436","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"4fc4eadc-cf9f-452a-b395-24cf17994914","summary":"$246K – $276.8K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":246000,"maxValue":276800}]},{"id":"b72783b0-720f-4d9f-986c-5361e6e94425","tierSummary":"$219.3K – $246.7K • Offers Equity • Offers Bonus","title":"Everywhere else in US","additionalInformation":null,"components":[{"id":"33816a80-a7fd-4ca4-9ff1-02c27911d84a","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"e02a49ee-b1bd-4fdc-b3aa-b42f615c6644","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"c907fd10-f4cf-45b0-8cc4-2768bd5acfbc","summary":"$219.3K – $246.7K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":219300,"maxValue":246700}]}],"summaryComponents":[{"compensationType":"EquityCashValue","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"compensationType":"Bonus","minValue":null,"maxValue":null,"interval":"1 YEAR"},{"minValue":219300,"maxValue":276800,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"a7073f3a-69b4-4351-b733-ded45e9ef710","title":"Senior Full-stack Engineer, Console Team (Product-Led Growth Strategy)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-15T21:12:42.612+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/a7073f3a-69b4-4351-b733-ded45e9ef710","applyUrl":"https://jobs.ashbyhq.com/deepgram/a7073f3a-69b4-4351-b733-ded45e9ef710/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 Full-stack Engineer to join the Console team.
This team owns the product surfaces that help developers discover, test, and adopt Deepgram, including customer-facing experiences like Console and Playground, as well as internal tooling that supports teams across the company.
In this role, you’ll work across the stack to build both polished user experiences and the APIs and services behind them. You’ll help developers get started quickly, manage their projects and billing, explore Deepgram APIs hands-on, and use internal tools that make Deepgram teams faster and more effective.
We’re looking for a strong generalist engineer who is equally comfortable building user-facing interfaces and backend systems. This role is aimed at senior engineers with broad product instincts rather than niche framework specialization; familiarity with Elm is a plus, not a requirement.
Build and ship full-stack features across Deepgram’s customer-facing Console and Playground experiences.
Build internal-facing tools and services that improve workflows and productivity across Deepgram.
Design, build, and maintain APIs and backend services that power end-user and internal product experiences.
Partner with product, design, and engineering to create accessible, performant, and responsive interfaces backed by reliable systems.
Translate product ideas and requirements into well-scoped, incrementally releasable work across frontend and backend layers.
Balance rapid iteration with long-term maintainability, quality, scalability, and performance.
Help raise the bar through code reviews, technical design discussions, and strong engineering practices across the stack.
5+ years of professional software engineering experience, with a track record of shipping full-stack web applications.
Strong front-end skills with modern web technologies and frameworks.
Solid backend experience in a language such as Python, Rust, Go, or similar.
Experience designing and integrating APIs and backend systems that support customer-facing products.
Strong command of web fundamentals, product quality, and user experience.
Strong communication skills and the ability to collaborate closely with design, product, and engineering partners.
Experience with Elm, or interest in learning it.
Experience with backend systems involving databases, schema design, or performance optimization.
Familiarity with cloud infrastructure and containerized deployment environments.
Experience building developer-facing products, internal tools, or API-centric interfaces.
Experience with voice, audio, real-time systems, or AI products.
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 Frontend Engineer to join the Console team.
This team owns the front-end experiences that help developers discover, test, and adopt Deepgram — including customer-facing surfaces like Console and Playground, as well as internal tools that support teams across the company.
In this role, you’ll build polished, high-quality interfaces for both external and internal users. You’ll work on product experiences that help developers get started quickly, understand Deepgram’s capabilities, manage their projects and billing, and explore APIs hands-on. You’ll also help build internal tools that make Deepgram teams faster and more effective.
We’re looking for a strong front-end engineer with excellent product taste, strong technical judgment, and the ability to turn ambiguous problems into clear, well-crafted user experiences. This role is aimed at generalist senior engineers rather than requiring niche framework expertise; familiarity with Elm is a plus, not a requirement.
Build and ship front-end features across Deepgram’s customer-facing Console and Playground experiences.
Build internal-facing tools that improve workflows and productivity across Deepgram.
Partner with product, design, and engineering to create accessible, performant, and responsive interfaces.
Translate product ideas and design concepts into well-scoped, incrementally releasable work.
Balance rapid iteration with long-term maintainability, quality, and performance.
Help raise the bar through code reviews, technical design discussions, and strong front-end engineering practices.
5+ years of professional software engineering experience with a strong front-end focus.
Deep experience with modern front-end technologies and frameworks.
Strong command of web fundamentals, including HTML, CSS, responsive design, and accessibility.
A track record of building high-quality user-facing web applications.
Strong communication skills and the ability to collaborate closely with design, product, and engineering partners.
Strong product and UX judgment.
Experience with Elm, or interest in learning it.
Experience building developer-facing products, internal tools, or API-centric interfaces.
Familiarity with backend integrations and APIs.
Experience with voice, audio, real-time systems, or AI products.
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
India is one of the world's largest and fastest-growing technology markets, and Deepgram is already seeing strong demand here. This role is about building the business on top of that momentum. As Country Leader, India, you will shape and lead Deepgram's go-to-market in the country: growing revenue across the full spectrum of the market, building the team that delivers it, and becoming the senior face of Deepgram to India's enterprises and partners.
This is primarily a build role. You will work across the spectrum from large enterprises to fast-moving tech startups, forming peer-to-peer relationships with CEOs, CTOs, and senior stakeholders. You will grow the direct enterprise motion, develop the systems-integrator and partner channel that matters so much in India, and build the team on top of an early footprint already in place. You will shape the playbook rather than inherit one.
If building a business in one of the world's most dynamic markets energizes you, this role is for you.
WHO YOU ARE
You are both a builder and a sales leader, and you are equally strong at each. You sell at the top of the house, forming peer relationships with CEOs, CTOs, and senior stakeholders, and you are credible when the conversation turns to how the product actually works. You have opened a market or stood up a team from an early stage before, and you know the first year is less about running a machine and more about creating one.
You lead by example and build teams that outperform. You know how to attract, hire, and develop excellent salespeople, and how to build the partner relationships that scale a business in India. You run a disciplined operation, and you see building the team and carrying the number as two halves of the same job.
WHAT YOU'LL DO
Own the number: accountable for India pipeline generation and ARR growth.
Build India's go-to-market: grow the business on top of the strong demand we are already seeing, and turn it into a repeatable and scalable motion.
Sell at the top of the house: form peer-to-peer relationships with CEOs, CTOs, and senior stakeholders across large enterprises and fast-moving tech startups alike.
Build the partner channel that matters in India: systems integrators and hyperscaler co-sell partners.
Carry strategic deals personally as a player-coach while you build the team.
Attract, hire, and coach excellent salespeople on top of an early footprint, and develop the next generation of Deepgram talent in-market.
Put the right sales rigor in place: pipeline discipline, accurate forecasting, and sound territory planning.
Act as the voice of the India market inside Deepgram: bring back customer and product feedback, language readiness, and localization needs so we serve the market better and help shape the roadmap.
YOU'LL LOVE THIS ROLE IF YOU
Are energized by building and want to shape and grow a market.
Take pride in building a high-caliber team and leading it from the front.
Are at ease selling to senior enterprise and startup leaders, and can hold your own on the substance of the product.
Understand how strong product-led demand becomes enterprise revenue at scale.
Are comfortable being both a hands-on operator and the leader building the organization behind you.
Are passionate about Deepgram's mission and what voice AI makes possible.
IT'S IMPORTANT TO US THAT YOU HAVE
A track record of building and leading high-performing sales teams: hiring excellent people and developing them.
Experience opening a market, building a region, or standing up a high performing GTM team.
Deep experience in the Indian enterprise market, selling to senior and technical buyers.
Experience selling products with real technical depth, such as APIs, developer tools, or platforms evaluated on their merits by engineering buyers.
Experience building and selling through the systems-integrator and partner channel in India, alongside a direct enterprise motion.
Comfort operating as a player-coach, carrying strategic deals personally while building the team.
An existing network across Indian enterprise, the startup ecosystem, and the partner landscape.
A history of stable tenure and clear progression across your roles.
IT WOULD BE GREAT IF YOU HAD
Experience selling voice AI, speech, or AI/ML.
Experience scaling a go-to-market motion from early traction to repeatable revenue.
Familiarity with hyperscaler co-sell programs.
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.
","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\nIndia is one of the world's largest and fastest-growing technology markets, and Deepgram is already seeing strong demand here. This role is about building the business on top of that momentum. As Country Leader, India, you will shape and lead Deepgram's go-to-market in the country: growing revenue across the full spectrum of the market, building the team that delivers it, and becoming the senior face of Deepgram to India's enterprises and partners.\n\nThis is primarily a build role. You will work across the spectrum from large enterprises to fast-moving tech startups, forming peer-to-peer relationships with CEOs, CTOs, and senior stakeholders. You will grow the direct enterprise motion, develop the systems-integrator and partner channel that matters so much in India, and build the team on top of an early footprint already in place. You will shape the playbook rather than inherit one.\n\nIf building a business in one of the world's most dynamic markets energizes you, this role is for you.\n\nWHO YOU ARE\n\nYou are both a builder and a sales leader, and you are equally strong at each. You sell at the top of the house, forming peer relationships with CEOs, CTOs, and senior stakeholders, and you are credible when the conversation turns to how the product actually works. You have opened a market or stood up a team from an early stage before, and you know the first year is less about running a machine and more about creating one.\n\nYou lead by example and build teams that outperform. You know how to attract, hire, and develop excellent salespeople, and how to build the partner relationships that scale a business in India. You run a disciplined operation, and you see building the team and carrying the number as two halves of the same job.\n\nWHAT YOU'LL DO\n\n - Own the number: accountable for India pipeline generation and ARR growth.\n\n - Build India's go-to-market: grow the business on top of the strong demand we are already seeing, and turn it into a repeatable and scalable motion.\n\n - Sell at the top of the house: form peer-to-peer relationships with CEOs, CTOs, and senior stakeholders across large enterprises and fast-moving tech startups alike.\n\n - Build the partner channel that matters in India: systems integrators and hyperscaler co-sell partners.\n\n - Carry strategic deals personally as a player-coach while you build the team.\n\n - Attract, hire, and coach excellent salespeople on top of an early footprint, and develop the next generation of Deepgram talent in-market.\n\n - Put the right sales rigor in place: pipeline discipline, accurate forecasting, and sound territory planning.\n\n - Act as the voice of the India market inside Deepgram: bring back customer and product feedback, language readiness, and localization needs so we serve the market better and help shape the roadmap.\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are energized by building and want to shape and grow a market.\n\n - Take pride in building a high-caliber team and leading it from the front.\n\n - Are at ease selling to senior enterprise and startup leaders, and can hold your own on the substance of the product.\n\n - Understand how strong product-led demand becomes enterprise revenue at scale.\n\n - Are comfortable being both a hands-on operator and the leader building the organization behind you.\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 of building and leading high-performing sales teams: hiring excellent people and developing them.\n\n - Experience opening a market, building a region, or standing up a high performing GTM team.\n\n - Deep experience in the Indian enterprise market, selling to senior and technical buyers.\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 building and selling through the systems-integrator and partner channel in India, alongside a direct enterprise motion.\n\n - Comfort operating as a player-coach, carrying strategic deals personally while building the team.\n\n - An existing network across Indian enterprise, the startup ecosystem, and the partner landscape.\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, or AI/ML.\n\n - Experience scaling a go-to-market motion from early traction to repeatable revenue.\n\n - Familiarity with hyperscaler co-sell programs.\n\nIf the idea of building Deepgram's business in India 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.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"4bfbf7f5-5ef8-4299-925a-2338ea05647f","title":"Account Executive (Japan)","department":"Sales","team":"Sales - AE","employmentType":"FullTime","location":"Japan","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-07-16T10:09:21.220+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/deepgram/4bfbf7f5-5ef8-4299-925a-2338ea05647f","applyUrl":"https://jobs.ashbyhq.com/deepgram/4bfbf7f5-5ef8-4299-925a-2338ea05647f/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
Japan is one of the world's most important enterprise technology markets, and Deepgram is already seeing strong demand here. Joining at the earliest stage of Deepgram's presence in the country, you will turn that demand into revenue: winning new logos, earning the trust of enterprise buyers, and growing those relationships over time. You will help shape how Deepgram sells in Japan rather than inheriting a finished playbook.
Japan is a market where enterprise trust is earned in person and over time, and where the voice AI category itself is still being defined. This is a consultative, relationship-led sale: you will spend real time with customers, help them understand what voice AI makes possible, and guide them from first conversation to production. 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 through a consultative, relationship-led approach. 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 earn trust with enterprise buyers, land a new logo, and grow it over time, and you are as comfortable working a partner co-sell as you are running a direct deal.
You are credible with Japanese enterprises, fluent in the language and the culture of how business is done here, and patient with the relationship-building a consultative sale requires. 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.
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.
Sell consultatively: build trusted relationships with enterprise buyers in person, and help them understand what voice AI, STT, TTS, and voice agents make possible.
Run both motions: sell directly, and co-sell with systems integrators and hyperscaler partners.
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 Japan.
Take pride in building your own pipeline and owning a deal from first touch to close.
Believe enterprise trust is earned in person, over time, through a consultative approach.
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.
Consultative, relationship-led selling experience with Japanese enterprises, with business-level Japanese and native-level cultural fluency.
Experience selling products with real technical depth, such as APIs, developer tools, or platforms evaluated on their merits by engineering 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 Japan 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.
","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\nJapan is one of the world's most important enterprise technology markets, and Deepgram is already seeing strong demand here. Joining at the earliest stage of Deepgram's presence in the country, you will turn that demand into revenue: winning new logos, earning the trust of enterprise buyers, and growing those relationships over time. You will help shape how Deepgram sells in Japan rather than inheriting a finished playbook.\n\nJapan is a market where enterprise trust is earned in person and over time, and where the voice AI category itself is still being defined. This is a consultative, relationship-led sale: you will spend real time with customers, help them understand what voice AI makes possible, and guide them from first conversation to production. 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\n\n\nWHO YOU ARE\n\nYou are a full-cycle Account Executive who builds your own pipeline and closes it through a consultative, relationship-led approach. 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 earn trust with enterprise buyers, land a new logo, and grow it over time, and you are as comfortable working a partner co-sell as you are running a direct deal.\n\nYou are credible with Japanese enterprises, fluent in the language and the culture of how business is done here, and patient with the relationship-building a consultative sale requires. 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.\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 - Sell consultatively: build trusted relationships with enterprise buyers in person, and help them understand what voice AI, STT, TTS, and voice agents make possible.\n\n - Run both motions: sell directly, and co-sell with systems integrators and hyperscaler partners.\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 in Japan.\n\n - Take pride in building your own pipeline and owning a deal from first touch to close.\n\n - Believe enterprise trust is earned in person, over time, through a consultative approach.\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\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 - Consultative, relationship-led selling experience with Japanese enterprises, with business-level Japanese and native-level cultural fluency.\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 - 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\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 Japan 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.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"3ecb28e4-4ce3-468c-8bf2-e2b3c4a722bf","title":"Sales Country Leader ( Japan)","department":"Sales","team":"Sales - Leadership","employmentType":"FullTime","location":"Japan","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-07-22T08:37:11.253+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/deepgram/3ecb28e4-4ce3-468c-8bf2-e2b3c4a722bf","applyUrl":"https://jobs.ashbyhq.com/deepgram/3ecb28e4-4ce3-468c-8bf2-e2b3c4a722bf/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 already seeing strong demand in Japan, and this role is about building the business that meets it. As Country Leader, Japan, you will shape and lead Deepgram's go-to-market in the country: converting that demand into a structured motion across direct enterprise selling and partnerships, building the team that delivers it, and becoming the senior face of Deepgram to Japanese enterprises.
This is primarily a build role. Japan is a market where enterprise trust is earned in person and over time, and where the voice AI category itself is still being defined. You will spend your early months with customers and partners, translating strong interest into lasting relationships and helping the market understand what voice AI, STT, TTS, and voice agents make possible. As the business grows, you will hire and coach the team beneath you and put the sales rigor in place to scale.
You will carry strategic deals yourself while you build, and you will shape the playbook rather than inherit one. If building a business in one of the world's most rewarding enterprise markets energizes you, this role is for you.
You are both a market builder and a sales leader, and you are equally strong at each. You have opened a market, stood up a region, or built a team from early stage before, and you know that the work in the first year is less about running a machine and more about creating one. You are a consultative, relationship-led seller who is comfortable sitting with a Japanese enterprise executive who is still forming a view of a new category, and earning their trust through patience, expertise, and genuine partnership.
You are credible at the most senior levels of Japanese enterprise, fluent in the culture and the language of how business is done here, and just as comfortable coaching a new AE through their first deals. You can install the disciplines of a high-performing sales team, pipeline, forecasting, and territory planning, while keeping the consultative approach the market rewards. You see building the team and carrying the number as two halves of the same job.
Own the number: accountable for Japan pipeline generation and ARR growth.
Build Japan's go-to-market: shape and execute the strategy that converts strong, existing demand into a repeatable and scalable motion.
Serve as the senior face of Deepgram to Japanese enterprises, building trusted, long-term relationships with executive buyers.
Lead category education, helping enterprise buyers understand what voice AI, STT, TTS, and voice agents make possible.
Drive both motions: direct enterprise selling and a partner and co-sell motion with global systems integrators, ISVs, and hyperscalers (for example AWS, Sierra, and Twilio).
Carry strategic deals personally as a player-coach while you build the team.
Build and scale the Japan sales team: hire, pair, and coach AEs, and develop the next generation of Deepgram sales talent in-market.
Put the right sales rigor in place: pipeline discipline, accurate forecasting, and sound territory planning.
Act as the voice of the Japan market inside Deepgram: bring back customer and product feedback, language readiness, and localization needs so we serve the market better and help shape the roadmap.
Are energized by building and want to shape and grow a market.
Believe that in Japan, enterprise trust is earned in person, over time, through consultative partnership.
Enjoy educating a market on a new category and can make a complex technical shift clear and compelling to senior buyers.
Want to build and coach a team, and take pride in developing talent.
Are comfortable being both the senior operator carrying strategic deals and the leader building the organization behind them.
Are passionate about Deepgram's mission and what voice AI makes possible.
Deep experience selling to and building relationships with Japanese enterprises, with business-level Japanese and native-level cultural fluency.
A track record of opening a market, building a region, or standing up a team from early stage.
Consultative, relationship-led selling experience in complex, long-cycle enterprise deals, including educating buyers on a new or emerging category.
Demonstrated ability to build and coach a high-performing AE team, and to bring sales rigor across pipeline, forecasting, and territory planning.
Comfort operating as a player-coach, carrying strategic deals personally while building the team.
Experience with partner and co-sell motions (systems integrators, ISVs, hyperscalers) alongside a direct enterprise motion.
An existing network across Japanese enterprise, telco, CCaaS, or systems-integrator ecosystems.
A history of stable tenure and clear progression across your roles. Hires at this level typically have 15 or more years of relevant experience.
Experience selling developer tools, infrastructure, or AI/ML technologies.
Experience introducing a global technology company into the Japan market.
Familiarity with voice AI, speech technology, or customer experience.
If the idea of building Deepgram's business in Japan excites you, 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.
","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 already seeing strong demand in Japan, and this role is about building the business that meets it. As Country Leader, Japan, you will shape and lead Deepgram's go-to-market in the country: converting that demand into a structured motion across direct enterprise selling and partnerships, building the team that delivers it, and becoming the senior face of Deepgram to Japanese enterprises.\n\nThis is primarily a build role. Japan is a market where enterprise trust is earned in person and over time, and where the voice AI category itself is still being defined. You will spend your early months with customers and partners, translating strong interest into lasting relationships and helping the market understand what voice AI, STT, TTS, and voice agents make possible. As the business grows, you will hire and coach the team beneath you and put the sales rigor in place to scale.\n\nYou will carry strategic deals yourself while you build, and you will shape the playbook rather than inherit one. If building a business in one of the world's most rewarding enterprise markets energizes you, this role is for you.\n\n\n\n\nWHO YOU ARE\n\nYou are both a market builder and a sales leader, and you are equally strong at each. You have opened a market, stood up a region, or built a team from early stage before, and you know that the work in the first year is less about running a machine and more about creating one. You are a consultative, relationship-led seller who is comfortable sitting with a Japanese enterprise executive who is still forming a view of a new category, and earning their trust through patience, expertise, and genuine partnership.\n\nYou are credible at the most senior levels of Japanese enterprise, fluent in the culture and the language of how business is done here, and just as comfortable coaching a new AE through their first deals. You can install the disciplines of a high-performing sales team, pipeline, forecasting, and territory planning, while keeping the consultative approach the market rewards. You see building the team and carrying the number as two halves of the same job.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the number: accountable for Japan pipeline generation and ARR growth.\n\n - Build Japan's go-to-market: shape and execute the strategy that converts strong, existing demand into a repeatable and scalable motion.\n\n - Serve as the senior face of Deepgram to Japanese enterprises, building trusted, long-term relationships with executive buyers.\n\n - Lead category education, helping enterprise buyers understand what voice AI, STT, TTS, and voice agents make possible.\n\n - Drive both motions: direct enterprise selling and a partner and co-sell motion with global systems integrators, ISVs, and hyperscalers (for example AWS, Sierra, and Twilio).\n\n - Carry strategic deals personally as a player-coach while you build the team.\n\n - Build and scale the Japan sales team: hire, pair, and coach AEs, and develop the next generation of Deepgram sales talent in-market.\n\n - Put the right sales rigor in place: pipeline discipline, accurate forecasting, and sound territory planning.\n\n - Act as the voice of the Japan market inside Deepgram: bring back customer and product feedback, language readiness, and localization needs so we serve the market better and help shape the roadmap.\n\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are energized by building and want to shape and grow a market.\n\n - Believe that in Japan, enterprise trust is earned in person, over time, through consultative partnership.\n\n - Enjoy educating a market on a new category and can make a complex technical shift clear and compelling to senior buyers.\n\n - Want to build and coach a team, and take pride in developing talent.\n\n - Are comfortable being both the senior operator carrying strategic deals and the leader building the organization behind them.\n\n - Are passionate about Deepgram's mission and what voice AI makes possible.\n\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Deep experience selling to and building relationships with Japanese enterprises, with business-level Japanese and native-level cultural fluency.\n\n - A track record of opening a market, building a region, or standing up a team from early stage.\n\n - Consultative, relationship-led selling experience in complex, long-cycle enterprise deals, including educating buyers on a new or emerging category.\n\n - Demonstrated ability to build and coach a high-performing AE team, and to bring sales rigor across pipeline, forecasting, and territory planning.\n\n - Comfort operating as a player-coach, carrying strategic deals personally while building the team.\n\n - Experience with partner and co-sell motions (systems integrators, ISVs, hyperscalers) alongside a direct enterprise motion.\n\n - An existing network across Japanese enterprise, telco, CCaaS, or systems-integrator ecosystems.\n\n - A history of stable tenure and clear progression across your roles. Hires at this level typically have 15 or more years of relevant experience.\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience selling developer tools, infrastructure, or AI/ML technologies.\n\n - Experience introducing a global technology company into the Japan market.\n\n - Familiarity with voice AI, speech technology, or customer experience.\n\nIf the idea of building Deepgram's business in Japan excites you, we'd like to hear from you.\n\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.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"02b34c52-9d44-415d-affe-80f4bb016f90","title":"Account Executive (Singapore)","department":"Sales","team":"Sales - AE","employmentType":"FullTime","location":"Singapore","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-07-16T10:26:23.902+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"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.
","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.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"82aee0a3-055d-481f-b081-b1691febc209","title":"Senior People Partner ","department":"G&A","team":"HR","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":"California","addressCountry":"United States","addressLocality":"Remote"}},"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
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: Hiring for Fall 2026 and Summer 2027 cohorts
Team Overview
You'd join the engineering team building the voice-native foundation models and the platform that delivers them at production scale: real-time ASR, next-generation TTS, and LLM connectivity. As an intern, you won't be sidelined on throwaway work, you'll own a real project and see firsthand how research, engineering, and customers actually fit together.
Key Goals:
Design, build, and ship one scoped project end to end, from design through reviewed, tested code running in staging or production, with a dedicated mentor guiding you at each milestone
Contribute directly to a production Deepgram codebase, whether that's the core voice AI platform, the Applied AI wing (Deepgram for Restaurants), or the consumer wing, landing merged PRs that teammates and customers actually use
Dig into voice AI: speech and audio ML, real-time systems, and how research, engineering, and customers form one feedback loop
Use Agentic tooling (Claude Code, Codex, whatever you want!!) as a default part of how you prototype, test, and debug, and bring at least one workflow improvement back to the team
Minimum Skills, Knowledge & Capabilities:
You've built things because you wanted them to exist: projects, tools, scripts, or automations, whether in class, on your own, or in a prior role.
You reach for AI as a default part of how you learn and build, not an occasional add-on, and you can talk about where it helps and where human judgment still has to lead.
You reason from first principles: when something breaks, you dig into why rather than patching around it.
You write and read code in at least one language, and you pick up new languages, tools, and codebases quickly.
You can explain your work clearly: what you built, what broke, and what you'd do differently.
You treat \"good enough\" as a question, not a finish line, and you're drawn to hard problems.
You give and receive feedback well and want to get better fast.
Preferred Qualifications:
Currently pursuing a degree in computer science, engineering, or a related field, or building equivalent skills through self-study, open source, or your own projects.
Coursework or hands-on exposure to machine learning, real-time systems, or audio/speech processing.
A prior internship, a hackathon project, or something you built and shipped for yourself, ideally with an AI-assisted workflow behind it.
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.
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.
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.
","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","compensation":{"compensationTierSummary":"$200K – $268K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$200K - $268K","compensationTiers":[{"id":"ebc4dfba-7f46-429a-bf99-1b5827ee97c0","tierSummary":"Base Salary Range $215K – $268K • Offers Equity • Offers Bonus","title":"San Francisco, NYC & Seattle","additionalInformation":null,"components":[{"id":"62524e39-e4aa-4f0a-847d-731b2cf5b06f","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"7539df6e-202e-4146-8797-82d4933f244b","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"ebf55b47-0463-4276-9d98-89f4a5ca8004","summary":"Base Salary Range $215K – $268K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":215000,"maxValue":268000}]},{"id":"abc8dc13-1019-429b-aff2-68c6510bc51c","tierSummary":"Base Salary Range $200K – $250K • Offers Equity • Offers Bonus","title":"Everywhere else in the U.S.","additionalInformation":null,"components":[{"id":"1ad903c9-4783-4d0f-a51e-f4deae03d40b","summary":"Base Salary Range $200K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":250000},{"id":"fac8f326-ecf5-4fa3-aad7-404132955b76","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"6caf5f59-5555-40df-939b-b009076fd048","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"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":"573b3d93-5c4d-4d6a-928e-4fec4c0bd9a4","title":"Sales Development Representative, Inbound","department":"Sales","team":"Sales - SDR","employmentType":"FullTime","location":"USA | Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-23T16:55:39.541+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/573b3d93-5c4d-4d6a-928e-4fec4c0bd9a4","applyUrl":"https://jobs.ashbyhq.com/deepgram/573b3d93-5c4d-4d6a-928e-4fec4c0bd9a4/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 convert inbound interest into new customers and revenue for our rapidly growing company. You will be the first point of contact for prospects who reach out to Deepgram, qualifying and nurturing inbound leads 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!
Respond quickly to inbound leads from marketing campaigns, website inquiries, content downloads, and product sign-ups, qualifying them and creating sales opportunities
Manage and prioritize a high volume of inbound requests to ensure every prospect receives a timely, high-quality response
Work closely with Account Executives and your fellow SDRs to hand off qualified opportunities and build a strong sales pipeline of new logos, striving to exceed quarterly sales targets
Partner with Marketing to provide feedback on lead quality and campaign performance, and with 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
Identify the speech recognition use cases behind each inbound inquiry to route and position opportunities effectively
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
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 a high volume of inbound leads and managing high-frequency touchpoints with speed
Experience qualifying inbound leads against an ideal customer profile and understanding their business
Familiarity with lead management and CRM tools for tracking and prioritizing inbound activity
Consistently overachieved against sales targets in past experiences
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 for self-serve. 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 self-serve 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 self-serve 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 self-serve and an enterprise motion, and understood how they feed each other.
","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 for self-serve. 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 self-serve 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 self-serve 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 self-serve and an enterprise motion, and understood how they feed each other.\n\n\n\n\n\n\n\n\n\n","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":"3852739c-938c-4ff9-a201-ab7587755809","title":"Head of Editorial Content ","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"USA | Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-23T21:20:42.010+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/3852739c-938c-4ff9-a201-ab7587755809","applyUrl":"https://jobs.ashbyhq.com/deepgram/3852739c-938c-4ff9-a201-ab7587755809/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 has deep technical expertise, unique customer insights, and a distinct point of view. Too much of that thinking never makes it into the world in a consistent, thoughtful way.
This role will work to uncover those ideas and turn them into a steady body of high-quality work that reinforces Deepgram’s narrative and gives people a reason to keep coming back to the company for insight.
Working closely with CEO, CMO, Head of Comms, and subject matter experts across the company, this person should build an editorial function that consistently turns Deepgram’s thinking into compelling stories, executive writing, customer stories, explainers, and recurring editorial series.
The goal is to help establish Deepgram as one of the defining voices in voice AI by publishing work that people actively seek out because it is genuinely insightful and worth their time.
Build editorial strategy and a content calendar that ladder up to Deepgram’s company narrative, key messages, and major moments.
Develop editorial themes around voice AI, enterprise AI, model development, customer impact, agents, and the future of human-AI interaction.
Mine stories across research, engineering, product, customers, GTM, and leadership; interview internal and external stakeholders to surface insights.
Write, edit, and produce core narrative materials, including executive posts, essays, customer stories, explainers, newsletters and launch support across formats and channels.
Create repeatable editorial franchises and formats that reinforce Deepgram’s narrative over time.
Make Deepgram’s technical, product, and customer stories more useful, more accessible, and more compelling.
Support major moments, including the fall event.
Partner with communications, product marketing, brand, design, video, and demand generation.
Build editorial processes that improve quality and consistency without making everything heavy.
8+ years in editorial, content, journalism, or a related field, with significant experience creating thoughtful content around complex technology.
A body of work that proves it: you can point to pieces that built a genuine point of view, not just filled a calendar.
Taste. You know what's actually interesting, what reads as credible, and how to make technical work feel relevant and compelling without flattening it into generic marketing.
Exceptional writing and editing range across formats—executive essays, customer stories, explainers, newsletters—with a high bar for clarity, substance, and craft.
Proven ability to produce high-quality work on a demanding schedule—you can sustain a newsroom-style cadence without letting quality slip, and you see consistency as a way to build authority rather than a reason to settle.
The instincts of a reporter: you can interview researchers, engineers, product people, and customers, get to the heart of complex material, and surface the insight worth publishing.
The ability to make technical depth accessible without losing substance, so the work stays useful to sophisticated readers while remaining readable for everyone else.
A track record of building repeatable editorial formats and franchises that hold quality and consistency over time, not one-off hits.
Comfort with ambiguity and a builder's mindset—you're energized by shaping an editorial function from the ground up, and can create lightweight processes that raise quality without making everything heavy.
A collaborative style, with experience partnering across communications, product marketing, brand, design, video, and demand gen, plus the relationship-building instinct to keep ideas surfacing from across the company.
Enough fluency in (or real curiosity about) technical subject matter to engage credibly with topics like model development, enterprise AI, and agents. You don't need to be an engineer, but curiosity here is non-negotiable.
Bonus points
A background in technology journalism or editorial—covering startups, AI, infrastructure, developer tools, or enterprise tech (think TechCrunch, VentureBeat, or a strong independent newsletter).
Time on an in-house editorial team at a company that treats content as a product (Stripe, Notion, GitHub, and the like).
Experience shaping a company's voice as a founder, executive, or ghostwriter in a technically complex environment.
Experience at an editorial agency or studio (Animalz or similar) working across complex technical clients, and ready to own a function in-house.
Why Deepgram
You will shape how the company at the center of the voice AI economy shows up in the world. The work you make will be seen by hundreds of thousands of developers and the enterprises building the future of voice. The system you build will outlast any single campaign. If you want your fingerprints on a brand as it steps into a new era, this is the role.
","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 ROLE\n\n\nDeepgram has deep technical expertise, unique customer insights, and a distinct point of view. Too much of that thinking never makes it into the world in a consistent, thoughtful way.\n\nThis role will work to uncover those ideas and turn them into a steady body of high-quality work that reinforces Deepgram’s narrative and gives people a reason to keep coming back to the company for insight.\n\nWorking closely with CEO, CMO, Head of Comms, and subject matter experts across the company, this person should build an editorial function that consistently turns Deepgram’s thinking into compelling stories, executive writing, customer stories, explainers, and recurring editorial series.\n\nThe goal is to help establish Deepgram as one of the defining voices in voice AI by publishing work that people actively seek out because it is genuinely insightful and worth their time.\n\n\n\n\nWHAT YOU’LL DO\n\n - Build editorial strategy and a content calendar that ladder up to Deepgram’s company narrative, key messages, and major moments.\n\n - Develop editorial themes around voice AI, enterprise AI, model development, customer impact, agents, and the future of human-AI interaction.\n\n - Mine stories across research, engineering, product, customers, GTM, and leadership; interview internal and external stakeholders to surface insights.\n\n - Write, edit, and produce core narrative materials, including executive posts, essays, customer stories, explainers, newsletters and launch support across formats and channels.\n\n - Create repeatable editorial franchises and formats that reinforce Deepgram’s narrative over time.\n\n - Make Deepgram’s technical, product, and customer stories more useful, more accessible, and more compelling.\n\n - Support major moments, including the fall event.\n\n - Partner with communications, product marketing, brand, design, video, and demand generation.\n\n - Build editorial processes that improve quality and consistency without making everything heavy.\n\n\nWHAT YOU’LL BRING\n\n - 8+ years in editorial, content, journalism, or a related field, with significant experience creating thoughtful content around complex technology.\n\n - A body of work that proves it: you can point to pieces that built a genuine point of view, not just filled a calendar.\n\n - Taste. You know what's actually interesting, what reads as credible, and how to make technical work feel relevant and compelling without flattening it into generic marketing.\n\n - Exceptional writing and editing range across formats—executive essays, customer stories, explainers, newsletters—with a high bar for clarity, substance, and craft.\n\n - Proven ability to produce high-quality work on a demanding schedule—you can sustain a newsroom-style cadence without letting quality slip, and you see consistency as a way to build authority rather than a reason to settle.\n\n - The instincts of a reporter: you can interview researchers, engineers, product people, and customers, get to the heart of complex material, and surface the insight worth publishing.\n\n - The ability to make technical depth accessible without losing substance, so the work stays useful to sophisticated readers while remaining readable for everyone else.\n\n - A track record of building repeatable editorial formats and franchises that hold quality and consistency over time, not one-off hits.\n\n - Comfort with ambiguity and a builder's mindset—you're energized by shaping an editorial function from the ground up, and can create lightweight processes that raise quality without making everything heavy.\n\n - A collaborative style, with experience partnering across communications, product marketing, brand, design, video, and demand gen, plus the relationship-building instinct to keep ideas surfacing from across the company.\n\n - Enough fluency in (or real curiosity about) technical subject matter to engage credibly with topics like model development, enterprise AI, and agents. You don't need to be an engineer, but curiosity here is non-negotiable.\n\nBonus points\n\n - A background in technology journalism or editorial—covering startups, AI, infrastructure, developer tools, or enterprise tech (think TechCrunch, VentureBeat, or a strong independent newsletter).\n\n - Time on an in-house editorial team at a company that treats content as a product (Stripe, Notion, GitHub, and the like).\n\n - Experience shaping a company's voice as a founder, executive, or ghostwriter in a technically complex environment.\n\n - Experience at an editorial agency or studio (Animalz or similar) working across complex technical clients, and ready to own a function in-house.\n\nWhy Deepgram\n\nYou will shape how the company at the center of the voice AI economy shows up in the world. The work you make will be seen by hundreds of thousands of developers and the enterprises building the future of voice. The system you build will outlast any single campaign. If you want your fingerprints on a brand as it steps into a new era, this is the role.","compensation":{"compensationTierSummary":"$158K – $220K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$158K - $220K","compensationTiers":[{"id":"26af6462-eedd-4dd1-bc78-931238ad61e7","tierSummary":"Base $175K – $220K • Offers Equity • Offers Bonus","title":"San Francsico, New York, Seattle","additionalInformation":null,"components":[{"id":"52b6811f-2660-4e02-96e8-7fc1df51a44b","summary":"Base $175K – $220K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":175000,"maxValue":220000},{"id":"fb9c02a8-3da6-49da-9233-9711585c7b1b","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"cfd559e3-d9b7-4705-817f-3cb660479b44","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]},{"id":"6509802f-a057-482e-84ef-70e86f24f2a5","tierSummary":"Base $158K – $197K • Offers Equity • Offers Bonus","title":"Everywhere else","additionalInformation":null,"components":[{"id":"459c5733-267a-43b6-bb36-3361eb162306","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"adda0fd4-338c-43e8-a8e8-e495e066ab46","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"0a294fb8-8885-44af-b47b-a735904a541b","summary":"Base $158K – $197K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":158000,"maxValue":197000}]}],"summaryComponents":[{"minValue":158000,"maxValue":220000,"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":"b9a134fe-2ede-4081-a927-319d538d430a","title":"Head of Communications","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"USA | Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-23T23:34:44.837+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/b9a134fe-2ede-4081-a927-319d538d430a","applyUrl":"https://jobs.ashbyhq.com/deepgram/b9a134fe-2ede-4081-a927-319d538d430a/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 Communications leader to make Deepgram’s point of view sharper, more visible, and more consistent across launches, media, executive voice, social, and major company moments.
While media is one component of the role, the broader objective is helping Deepgram earn trust and influence with enterprise buyers, developers, researchers, partners, analysts, and the broader AI ecosystem.
This person should help uncover and articulate the company’s beliefs, identify its best stories, and translate them into narratives and strategies that clearly communicate what Deepgram stands for and the role it believes voice AI will play in the future.
The goal is to move beyond being known as a voice AI API company and become one of the defining companies shaping how businesses build and deploy voice AI.
Own corporate communications strategy in partnership with CEO, CMO, and executive leadership.
Lead communications for product launches, model and product announcements, and company milestones.
Build Deepgram’s research and product credibility by making the company a place people come for technical insight, model progress, useful demos, customer proof, and a thoughtful perspective on where voice AI is going.
Mine stories across research, engineering, product, customers, GTM, and leadership.
Build messaging, narratives, press materials, executive talking points, Q&A, and exec briefings.
Manage proactive and reactive media.
Support executive communications and thought leadership.
Shape how Deepgram uses corporate social channels as part of the comms strategy.
Help Deepgram show up in the industry conversations that matter.
Support major moments, including the fall event.
Partner with brand, product marketing, editorial, and demand gen.
Establish lightweight comms processes for launches and coordination.
8+ years in communications, with significant experience leading corporate comms, PR, or executive communications at a technology company and/or agency experience.
A track record of building communications strategy that moved a company's reputation or market position—not just generated coverage—including owning comms for major product launches and company milestones.
The instincts of a new media storyteller: you can sit with researchers, engineers, and product people, pull out the insight that matters, and translate it into a narrative that lands with technical and non-technical audiences alike.
Strong media relationships and judgment—you know which stories are worth pitching, when to be proactive versus reactive, and how to handle high-stakes or sensitive situations.
Comfort as a thought partner to a CEO and executive team, shaping executive voice across talking points, briefings, bylines, keynotes, and social.
Enough fluency in the technical substance to engage credibly on model performance, developer tooling, and enterprise AI deployment. You don't need to be an ML researcher, but curiosity here is non-negotiable.
Comfort with ambiguity and a builder's mindset—you're energized by shaping a function that isn't fully built yet, and can create lightweight structure for launches and cross-functional coordination without adding bureaucracy.
A collaborative style, with experience partnering across brand, product marketing, product, demand gen, and GTM.
Excellent writing and editing, and a high bar for clarity and craft.
In-house experience at a B2B, enterprise software, developer-focused, or AI/ML company.
A point of view on how corporate social channels, thought leadership, and industry presence work together to build credibility and influence in the new media landscape.
Experience in a fast-moving environment where narratives and timelines shift quickly.
You will shape how the company at the center of the voice AI economy shows up in the world. The work you make will be seen by hundreds of thousands of developers and the enterprises building the future of voice. The system you build will outlast any single campaign. If you want your fingerprints on a brand as it steps into a new era, this is the role.
","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 ROLE\n\n\nDeepgram is hiring a Communications leader to make Deepgram’s point of view sharper, more visible, and more consistent across launches, media, executive voice, social, and major company moments.\n\nWhile media is one component of the role, the broader objective is helping Deepgram earn trust and influence with enterprise buyers, developers, researchers, partners, analysts, and the broader AI ecosystem.\n\n\n\nThis person should help uncover and articulate the company’s beliefs, identify its best stories, and translate them into narratives and strategies that clearly communicate what Deepgram stands for and the role it believes voice AI will play in the future.\n\n\n\nThe goal is to move beyond being known as a voice AI API company and become one of the defining companies shaping how businesses build and deploy voice AI.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own corporate communications strategy in partnership with CEO, CMO, and executive leadership.\n\n - Lead communications for product launches, model and product announcements, and company milestones.\n\n - Build Deepgram’s research and product credibility by making the company a place people come for technical insight, model progress, useful demos, customer proof, and a thoughtful perspective on where voice AI is going.\n\n - Mine stories across research, engineering, product, customers, GTM, and leadership.\n\n - Build messaging, narratives, press materials, executive talking points, Q&A, and exec briefings.\n\n - Manage proactive and reactive media.\n\n - Support executive communications and thought leadership.\n\n - Shape how Deepgram uses corporate social channels as part of the comms strategy.\n\n - Help Deepgram show up in the industry conversations that matter.\n\n - Support major moments, including the fall event.\n\n - Partner with brand, product marketing, editorial, and demand gen.\n\n - Establish lightweight comms processes for launches and coordination.\n\n\nWHAT YOU’LL BRING\n\n - 8+ years in communications, with significant experience leading corporate comms, PR, or executive communications at a technology company and/or agency experience.\n\n - A track record of building communications strategy that moved a company's reputation or market position—not just generated coverage—including owning comms for major product launches and company milestones.\n\n - The instincts of a new media storyteller: you can sit with researchers, engineers, and product people, pull out the insight that matters, and translate it into a narrative that lands with technical and non-technical audiences alike.\n\n - Strong media relationships and judgment—you know which stories are worth pitching, when to be proactive versus reactive, and how to handle high-stakes or sensitive situations.\n\n - Comfort as a thought partner to a CEO and executive team, shaping executive voice across talking points, briefings, bylines, keynotes, and social.\n\n - Enough fluency in the technical substance to engage credibly on model performance, developer tooling, and enterprise AI deployment. You don't need to be an ML researcher, but curiosity here is non-negotiable.\n\n - Comfort with ambiguity and a builder's mindset—you're energized by shaping a function that isn't fully built yet, and can create lightweight structure for launches and cross-functional coordination without adding bureaucracy.\n\n - A collaborative style, with experience partnering across brand, product marketing, product, demand gen, and GTM.\n\n - Excellent writing and editing, and a high bar for clarity and craft.\n\n\nBONUS POINTS\n\n - In-house experience at a B2B, enterprise software, developer-focused, or AI/ML company.\n\n - A point of view on how corporate social channels, thought leadership, and industry presence work together to build credibility and influence in the new media landscape.\n\n - Experience in a fast-moving environment where narratives and timelines shift quickly.\n\n\nWHY DEEPGRAM\n\nYou will shape how the company at the center of the voice AI economy shows up in the world. The work you make will be seen by hundreds of thousands of developers and the enterprises building the future of voice. The system you build will outlast any single campaign. If you want your fingerprints on a brand as it steps into a new era, this is the role.","compensation":{"compensationTierSummary":"$153K – $210K • Offers Equity • Offers Bonus • Multiple Ranges","scrapeableCompensationSalarySummary":"$153K - $210K","compensationTiers":[{"id":"7d26cf57-ec84-4305-94d6-97ea4c57c452","tierSummary":"Base $170K – $210K • Offers Equity • Offers Bonus","title":"San Francisco, New York, Seattle","additionalInformation":null,"components":[{"id":"ffaa89a4-405b-4a5b-a2b5-ce0489e00956","summary":"Base $170K – $210K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":210000},{"id":"51325574-3180-4139-86c0-24949d4fee58","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"f0e73808-824a-4a5e-94e3-c0986e1966bc","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]},{"id":"a2579a5f-ed7e-4dc9-a79f-cd19e18de7af","tierSummary":"Base $153K – $190K • Offers Equity • Offers Bonus","title":"United States","additionalInformation":null,"components":[{"id":"b18ca8f7-f018-49c9-98bf-3fe212754f5c","summary":"Base $153K – $190K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":153000,"maxValue":190000},{"id":"0c68537c-6fe0-4204-a5f8-d79d543bb333","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"088f808a-5d03-4c47-8b3f-201b8687c920","summary":"Offers Bonus","compensationType":"Bonus","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"minValue":153000,"maxValue":210000,"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":"6f3d761e-4873-43af-a9b1-daeb147661f9","title":"Senior Software Engineer - Model Evaluation & AI Systems","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-07-28T00:36:28.421+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/6f3d761e-4873-43af-a9b1-daeb147661f9","applyUrl":"https://jobs.ashbyhq.com/deepgram/6f3d761e-4873-43af-a9b1-daeb147661f9/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 Software Engineer - Model Evaluation & AI Systems to join the team responsible for validating the quality of our speech, audio, and multilingual models before they reach customers.
This team owns the evaluation and quality assurance surfaces that ensure Deepgram's models — across speech-to-text, text-to-speech, and increasingly LLM- and multimodal-powered systems — meet their performance targets in both batch and streaming environments. We build the pipelines, harnesses, canaries, and test frameworks that catch regressions, hallucinations, and quality issues before they impact customers, and we partner closely with Research to turn model expectations into automated, reproducible, enforceable checks.
In this role, you'll define evaluation methodology and build the infrastructure that measures model quality at scale. You'll create evaluation pipelines, define pass/fail criteria grounded in Research benchmarks, and build the monitoring that keeps models honest in production. Your work provides the trusted signals that inform release and optimization decisions, and directly protects the customer experience.
We're looking for a strong engineer who is equally comfortable building test infrastructure and reasoning about model behavior. This role is aimed at senior engineers with broad instincts for quality, measurement, and automation; hands-on experience evaluating modern AI systems is a strong plus.
Define and build evaluation methodologies for Deepgram's models, spanning speech-to-text, text-to-speech, and emerging LLM, RAG, agent, and multimodal systems.
Design, build, and maintain automated evaluation pipelines across batch and streaming (e.g. WER, runaway/hallucination detection, latency and time-to-first-byte), with a focus on correctness, reproducibility, and ease of adoption.
Build scalable, reproducible evaluation infrastructure — harnesses, orchestration, and result-aggregation pipelines — running against production models and, where needed, large GPU clusters.
Translate Research benchmarks and expected model metrics into automated, enforceable pass/fail gates.
Build and operate canaries and continuous-monitoring systems that detect quality regressions in production before they reach customers.
Partner with DevOps/Infra to stand up ephemeral test environments and results-aggregation infrastructure.
Work alongside Research, model training, inference, and product teams to provide trusted evaluation signals that inform release and optimization decisions.
Integrate evaluation and quality gates into CI/CD so quality is verified continuously, not manually.
Help raise the bar through code reviews, technical design discussions, and strong engineering and QA practices.
BS, MS, or PhD in Computer Science, AI, Applied Math, or a related field, or equivalent experience.
5+ years of professional software or QA engineering experience, with a track record of shipping test infrastructure or evaluation systems (senior candidates with significantly deeper experience welcome).
Solid backend/scripting experience in a language such as Python, Rust, Go, or similar.
Experience designing and building automated test pipelines, evaluation frameworks, or data-processing systems.
Strong analytical skills and comfort reasoning about metrics, thresholds, and statistical variation in results — able to distinguish real regressions from noise.
Ability to take charge of ambiguous technical challenges and communicate effectively across research, engineering, and product teams.
Hands-on experience evaluating modern AI systems such as LLMs, RAG pipelines, agents, or multimodal models, including model behavior analysis.
Experience with React Native or other cross-platform mobile frameworks for building tooling that's accessible beyond the desktop.
Experience building or improving evaluation frameworks, benchmarks, or ML infrastructure used by other teams or external users.
A strong appreciation for evaluation quality — correctness, reproducibility, and consistency across environments.
Experience with voice, audio, speech recognition, or real-time systems, and familiarity with metrics like WER, MOS, or latency/TTFB.
Prior involvement in open-source projects, through contributions, reviews, maintenance, or community engagement.
Experience acting as a technical bridge across teams or platforms (evaluation, training, inference, agent frameworks), combining architectural understanding with clear communication and influence.
Familiarity with cloud infrastructure, containerized/ephemeral environments, and monitoring tooling (e.g. Grafana, canaries, anomaly detection).
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.
At Deepgram, data isn’t just fuel for our models, it’s a product in its own right. Our vertically integrated voice AI platform depends on strategically created, curated, and labeled audio: from original data collection and augmentation, to structured workflows and evaluation sets. These data pipelines support a range of cutting-edge technologies, including audio intelligence models, conversational voice agents, STT, and TTS.
We’re looking for a hands-on, systems-minded Program Manager to lead the design and execution of various voice data programs. This role is ideal for someone who thrives on building from scratch, someone who can take an abstract modeling goal or product need and turn it into a concrete data strategy and pipeline with tools, guidelines, and quality safeguards in place. This requires ownership to understand frontier research strategies, building custom style guides, prototyping new tools, and directly influencing how data shapes our products.
This is a role for builders, someone who can spot a gap, roll up their sleeves, and design the solution. You’ll be at the center of Deepgram’s model development cycle, working across Research, Engineering, and Product, and you’ll be elbow-deep in both the day-to-day execution and the systems thinking required to scale it.
This role reports to the VP of Data Operations.
Design, launch, and own end-to-end data workflows: from raw audio ingestion to production-ready datasets
Build and evolve labeling specs, style guides, and instructional documentation for global annotation teams
Identify opportunities for better tooling, automation, and workflow optimization, and lead their implementation
Translate product goals and model requirements into data creation strategies, deciding what to build, how to build it, and why it matters for product impact
Own the full lifecycle for your domains — customer expectations, data acquisition, preparation, scaling, provenance, and evaluation — and be accountable for the model outcome, not just the data hand-off.
Prototype and deploy data tools and infrastructure
Collaborate with Research and Engineering to align data collection with model training architecture and downstream product impact
Track advancements in speech AI research and evolving market use cases to inform labeling approaches and data design priorities
Partner with QA and Evaluation leads to deliver high-quality, human-in-the-loop datasets and benchmarks
Manage and mentor data vendors, freelancers, and potentially internal ICs as the team grows
Track throughput, data quality, and vendor performance
Drive continuous improvement in speed, cost-efficiency, and quality across all data operations
Curate and refine datasets to align with specific product goals, linguistic coverage, or research hypotheses
Experience owning data, ML, or operations programs end-to-end in program/project or product management.
Fluency working directly with technical teams; you can hold a conversation about data quality, evaluation, and model impact.
Systems thinking, understanding how decisions propagate across a system, reason up from fundamentals instead of defaulting to convention, and design solutions that hold up as things scale.
A track record of prioritization under constraint — deciding what to fund, what to cut, and how to sequence it.
Strong operating instincts: you scope, sequence, assign, and ship, and nothing stalls because someone didn't know the next step.
Demonstrated ability to design and build scalable processes, not just manage existing ones
Direct exposure to speech/audio, ASR, or TTS data, and the specific nuances of multilingual, code-switched, low-resource, or domain-specific data.
Experience with active-learning or data-selection approaches
Startup or high-ambiguity experience
Believe that data is a product, not just a resource, and you want to help define what great voice data looks like
Enjoy turning experimental ideas into robust, repeatable systems that can scale to production
Thrive in ambiguity and take initiative without waiting for perfect specs, preferring action over perfection and iteration over indecision