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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nNOTE: THIS INDIVIDUAL MUST BE BASED WITHIN EITHER EASTERN OR PACIFIC TIME IN THE US.\n\nOpportunity\n\nDeepgram 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.\n\nAbout Applied Engineering at Deepgram \n\nThe 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.\n\nThis role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions\n\nWhat You’ll Do\n\n - Lead technical discovery and solution design for enterprise prospects and customers\n\n - Architect and implement custom proof-of-concepts and technical demonstrations that address specific customer use cases \n\n - Provide expert guidance on API integration, performance optimization, and deployment strategies \n\n - Partner with Account Executives to navigate technical objections and accelerate the sales cycle \n\n - Contribute to technical content creation including implementation guides, reference architectures, and best practices \n\n - Mentor junior team members and share technical knowledge across the organization\n\n - Represent the voice of the customer to product and engineering teams\n\nYour First 90 Days \n\n - 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.\n \n\n - 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.\n \n\n - 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.\n\nYou’ll Love This Role If You\n\n - Are passionate about translating complex technical capabilities into business value\n\n - Thrive in consultative customer environments where you can showcase your technical expertise \n\n - Enjoy the strategic aspects of enterprise sales cycles while maintaining technical credibility \n\n - Find satisfaction in seeing your technical solutions drive customer adoption and success \n\n - Are energized by staying at the forefront of AI and speech technology\n\nIt’s Important To Us That You Have\n\n - 5+ years of experience in technical pre-sales, solutions architecture, or similar customer-facing technical roles \n\n - Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, or similar languages \n\n - Proven track record of successfully navigating complex technical sales cycles\n\n - Experience building and demonstrating proof-of-concepts or technical solutions to diverse audiences \n\n - Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders\n \n\nIt Would Be Great if You Had \n\n - Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies\n\n - Experience building customer-facing demos and sample code\n\n - Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)\n\n - Experience with API-first products and developer tools \n\n - Background in sales methodologies such as Triangle, MEDDIC, or Solution Selling\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"7fe7bd7d-b337-4337-b459-a892be80789e","title":"Strategic Account Executive","department":"Sales","team":"Sales - AE","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-01-14T20:53:10.921+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/7fe7bd7d-b337-4337-b459-a892be80789e","applyUrl":"https://jobs.ashbyhq.com/deepgram/7fe7bd7d-b337-4337-b459-a892be80789e/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is looking for a Strategic Account Executive to drive new customers and revenue 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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nDeepgram is looking for a Strategic Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class Voice AI platform that has been enabling our customers to achieve things previously not attainable with voice. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!\n\n\nWhat You'll Do\n\n - Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing, SDR, and Partner teams to generate meetings\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the STT, TTS, and Voice Agent space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully\n\n - Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing\n\n\nYou’ll Love This Role If You\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Believe there should be no cap to upside and want control of account up-sell potential\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n\nIt’s Important to Us That You Have\n\n - Proven 7-12 + years of experience experience in a technical full-cycle sales role\n\n - Proven experience managing complex Enterprise and/or Strategic partner new deal cycles and expansion relationships\n\n - Experience building your own pipeline and closing accounts\n\n - Consistent overachievement against sales targets in past experiences\n\n - Strong written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time\n\n - Ability to drive a consistent and repeatable sales process\n\n\nIt Would Be Great If You Had\n\n - Familiarity with Challenger or Triangle sales methodology\n\n - Experience selling to a technical audience in a similar space\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"7cf277bc-a192-4007-a77a-fafbf8276a5e","title":"Research Staff, Voice AI Foundations","department":"Research","team":"Research","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[{"location":"Ann Arbor, MI","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Ann Arbor, MI"}}},{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"Global | Remote (NA / LATAM / EMEA / APAC)","address":{"postalAddress":{}}}],"publishedAt":"2026-05-10T15:07:18.163+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/7cf277bc-a192-4007-a77a-fafbf8276a5e","applyUrl":"https://jobs.ashbyhq.com/deepgram/7cf277bc-a192-4007-a77a-fafbf8276a5e/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.
As a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems:
Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio.
Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech.
Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”.
Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio. Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives.
Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations.
We are seeking researchers who:
See \"unsolved\" problems as opportunities to pioneer entirely new approaches
Can identify the one critical experiment that will validate or kill an idea in days, not months
Have the vision to scale successful proofs-of-concept 100x
Are obsessed with using AI to automate and amplify your own impact
If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.
Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning
Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities
Proven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficiently
Demonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversity
Track record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insights
Experience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniques
History of open-source contributions or research publications that have advanced the state of the art in speech/language AI
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)
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY\n\nVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.\n\n\n\nTHE ROLE\n\nAs a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems:\n\n - Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio.\n\n - Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech.\n\n - Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”.\n\n - Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio. Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives. \n\n - Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations.\n\n\nTHE CHALLENGE\n\nWe are seeking researchers who:\n\n - See \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\n - Can identify the one critical experiment that will validate or kill an idea in days, not months\n\n - Have the vision to scale successful proofs-of-concept 100x\n\n - Are obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning\n\n - Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities\n\n - Proven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficiently\n\n - Demonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversity\n\n - Track record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insights\n\n - Experience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniques\n\n - History of open-source contributions or research publications that have advanced the state of the art in speech/language AI\n\n\n\nHOW WE GENERATED THIS JOB DESCRIPTION\n\nThis 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.\n\n \n\nThe “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. \n\n\n\n\nIDEAL RESEARCHER PROFILE\n\nAn ideal researcher, as evidenced by the recurring themes across these foundational papers, excels in five key areas: (1) Statistical & Mathematical Foundations, (2) Algorithmic Innovation & Implementation, (3) Data-Driven & Scalable Systems, (4) Hardware & Systems Understanding, and (5) Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models.\n\n\n\n\n1. STATISTICAL & MATHEMATICAL FOUNDATIONS\n\nMastery of Core Concepts\n\nMany papers, like Scaling Laws for Neural Language Models and Neural Discrete Representation Learning (VQ-VAE), reflect the importance of power-law analyses, derivation of novel losses, or adaptation of fundamental equations (e.g., in VQ-VAE's commitment loss or rectified flows in Scaling Rectified Flow Transformers). Such mathematical grounding clarifies why models converge or suffer collapse.\n\nCombining Existing Theories in Novel Ways\n\nPapers such as Moshi (combining text modeling, audio codecs, and hierarchical generative modeling) and Finite Scalar Quantization (FSQ's adaptation of classic scalar quantization to replace vector-quantized representations) show how reusing but reimagining known techniques can yield breakthroughs. Many references (e.g., the structured state-space duality in Transformers are SSMs) underscore how unifying previously separate research lines can reveal powerful algorithmic or theoretical insights.\n\nLogical Reasoning and Assumption Testing\n\nAcross all papers—particularly in the problem statements of Whisper or Rectified Flow Transformers—the authors present assumptions (e.g., \"scaling data leads to zero-shot robustness\" or \"straight-line noise injection improves sample efficiency\") and systematically verify them with thorough empirical results. An ideal researcher similarly grounds new ideas in well-formed, testable hypotheses.\n\n\n\n2. ALGORITHMIC INNOVATION & IMPLEMENTATION\n\nCreative Solutions to Known Bottlenecks\n\nEach paper puts forth a unique algorithmic contribution—Rectified Flow Transformers redefines standard diffusion paths, FSQ proposes simpler scalar quantizations contrasted with VQ, phi-3 mini relies on curated data and blocksparse attention, and Mamba-2 merges SSM speed with attention concepts.\n\nTurning Theory into Practice\n\nWhether it's the direct preference optimization (DPO) for alignment in phi-3 or the residual vector quantization in SoundStream, these works show that bridging design insights with implementable prototypes is essential.\n\nClear Impact Through Prototypes & Open-Source\n\nMany references (Whisper, neural discrete representation learning, Mamba-2) highlight releasing code or pretrained models, enabling the broader community to replicate and build upon new methods. This premise of collaboration fosters faster progress.\n\n\n\n3. DATA-DRIVEN & SCALABLE SYSTEMS\n\nEmphasis on Large-Scale Data and Efficient Pipelines\n\nPapers such as Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) and BASE TTS demonstrate that collecting and processing hundreds of thousands of hours of real-world audio can unlock new capabilities in zero-shot or low-resource domains. Meanwhile, phi-3 Technical Report shows that filtering and curating data at scale (e.g., \"data optimal regime\") can yield high performance even in smaller models.\n\nStrategic Use of Data for Staged Training\n\nA recurring strategy is to vary sources of data or the order of tasks. Whisper trains on multilingual tasks, BASE TTS uses subsets/stages for pretraining on speech tokens, and phi-3 deploys multiple training phases (web data, then synthetic data). This systematic approach to data underscores how an ideal researcher designs training curricula and data filtering protocols for maximum performance.\n\n\n\n4. HARDWARE & SYSTEMS UNDERSTANDING\n\nEfficient Implementations at Scale\n\nMany works illustrate how researchers tune architectures for modern accelerators: the In-Datacenter TPU paper exemplifies domain-specific hardware design for dense matrix multiplications, while phi-3 leverages blocksparse attention and custom Triton kernels to run advanced LLMs on resource-limited devices.\n\nReal-Time & On-Device Constraints\n\nSoundStream shows how to compress audio in real time on a smartphone CPU, demonstrating that knowledge of hardware constraints (latency, limited memory) drives design choices. Similarly, Moshi's low-latency streaming TTS and phi-3-mini's phone-based inference highlight that an ideal researcher must adapt algorithms to resource limits while maintaining robustness.\n\nArchitectural & Optimization Details\n\nPapers like Mamba-2 in Transformers are SSMs and the In-Datacenter TPU work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency.\n\n\n\n5. RIGOROUS EXPERIMENTAL DESIGN\n\nControlled Comparisons & Ablations\n\nNearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual components (e.g., ablation on vector-quantization vs. scalar quantization in FSQ, or size of codebooks in VQ-VAEs). This approach reveals which design decisions truly matter.\n\nMultifold Evaluation Metrics\n\nFrom MUSHRA listening tests (SoundStream, BASE TTS) to FID in image synthesis (Scaling Rectified Flow Transformers, FSQ) to perplexity or zero-shot generalization in language (phi-3, Scaling Laws for Neural Language Models), the works demonstrate the value of comprehensive, carefully chosen metrics.\n\nStress Tests & Edge Cases\n\nWhisper's out-of-distribution speech benchmarks, SoundStream's evaluation on speech + music, or Mamba-2's performance on multi-query associative recall demonstrate the importance of specialized challenge sets. Researchers who craft or adopt rigorous benchmarks and \"red-team\" their models (as in phi-3 safety alignment) are better prepared to address real-world complexities.\n\n\n\n\nSUMMARY\n\nOverall, an ideal researcher in deep learning consistently demonstrates:\n\n - A solid grounding in theoretical and statistical principles\n\n - A talent for proposing and validating new algorithmic solutions\n\n - The capacity to orchestrate data pipelines that scale and reflect real-world diversity\n\n - Awareness of hardware constraints and system-level trade-offs for efficiency\n\n - Thorough and transparent experimental practices\n\nThese qualities surface across research on speech (Whisper, BASE TTS), language modeling (Scaling Laws, phi-3), specialized hardware (TPU, Transformers are SSMs), and new representation methods (VQ-VAE, FSQ, SoundStream). By balancing these attributes—rigorous math, innovative algorithms, large-scale data engineering, hardware-savvy optimizations, and reproducible experimentation—researchers can produce impactful, trustworthy advancements in foundational deep learning.\n\n\n\n\n\nFOUNDATIONAL PAPERS\n\nThis job description was generated through analysis of the following papers:\n\n - Robust Speech Recognition via Large-Scale Weak Supervision (arXiv:2212.04356)\n\n - Moshi: a speech-text foundation model for real-time dialogue (arXiv:2410.00037)\n\n - Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (arXiv:2403.03206)\n\n - Scaling Laws for Neural Language Models (arXiv:2001.08361)\n\n - BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (arXiv:2402.08093)\n\n - In-Datacenter Performance Analysis of a Tensor Processing Unit (arXiv:1704.04760)\n\n - Neural Discrete Representation Learning (arXiv:1711.00937)\n\n - SoundStream: An End-to-End Neural Audio Codec (arXiv:2107.03312)\n\n - Finite Scalar Quantization: VQ-VAE Made Simple (arXiv:2309.15505)\n\n - Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (arXiv:2404.14219)\n\n - Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality (arXiv:2405.21060)\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"a6c59ee7-4d92-423c-a6e6-99adcd9e6ff3","title":"Sales Development Representative","department":"Sales","team":"Sales - SDR","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2025-07-15T15:50:58.140+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/a6c59ee7-4d92-423c-a6e6-99adcd9e6ff3","applyUrl":"https://jobs.ashbyhq.com/deepgram/a6c59ee7-4d92-423c-a6e6-99adcd9e6ff3/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is looking for an 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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nDeepgram 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!\n\nWhat You'll Do\n\n - Work with our Partnerships team, Account Executives, and your fellow SDRs to build a strong sales pipeline of new logos, striving to exceed quarterly sales targets\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the ASR space, competition, and Deepgram products to be able to fully articulate our value proposition\n\n - Research companies to find new speech recognition use cases and opportunities in the market\n\n\nYou’ll Love This Role If You\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n - Are eager to launch your sales career towards enterprise sales\n\n\nIt’s Important to Us That You Have\n\n - 1+ year of customer-facing work experience in SaaS\n\n - Prior sales experience selling a technical product\n\n - Dynamic written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Exceptional at prioritizing complex outreach schedules and managing high-frequency touchpoints\n\n\nIt Would Be Great If You Had\n\n - Experience prospecting companies that fit an ideal customer profile and understanding their business\n\n - Consistently overachieved against sales targets in past experiences\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"844ec2d9-4256-4be0-a6c6-78ebf1391a78","title":"Solutions Architect (EST or PST)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-16T19:43:40.252+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/844ec2d9-4256-4be0-a6c6-78ebf1391a78","applyUrl":"https://jobs.ashbyhq.com/deepgram/844ec2d9-4256-4be0-a6c6-78ebf1391a78/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Opportunity
Deepgram is 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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nNOTE: THIS INDIVIDUAL MUST BE BASED WITHIN EITHER EASTERN OR PACIFIC TIME IN THE US.\n\nOpportunity\nDeepgram 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.\n\n\nAbout Applied Engineering at Deepgram\nThe 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.\n\nWhat You'll Do\n\n - Own complete post-sales customer engagements, providing direct technical guidance and solutions\n\n - Lead the technical resolution of complex customer support issues, serving as an escalation point for challenging technical problems\n\n - Design and implement systematic improvements to our support process and infrastructure\n\n - Create automated solutions and self-service tools that address common customer challenges\n\n - Analyze support ticket patterns to identify product improvement opportunities and preventative measures\n\n - Develop technical documentation, guides, and best practices that enable customers to self-solve issues\n\n - Collaborate with product and engineering teams to advocate for customer needs and influence roadmap priorities\n\n - Partner with the broader Applied Engineering team to share knowledge and balance support workload\n\n - Occasionally assist with implementation projects and pre-sales activities as needed\n\n\nTime Allocation\n\n - 50% - Direct customer engagement and technical problem solving\n\n - 30% - Building automation and scalable support solutions\n\n - 10% - Developing documentation and self-service resources\n\n - 10% - Contributing to broader Applied Engineering initiatives and pre-sales activities\n \n\nYou'll Love This Role If You\n\n - Enjoy direct customer interaction and solving complex technical challenges\n\n - Are passionate about creating scalable solutions that enhance customer experiences\n\n - Find satisfaction in improving systems and processes to increase efficiency\n\n - Have a talent for identifying patterns and translating them into actionable improvements\n\n - Are energized by opportunities to apply engineering principles to customer-facing challenges\n\n - See technical support as a strategic function that drives customer satisfaction and retention\n\n\nIt's Important To Us That You Have\n\n - 3+ years of experience in technical support, solutions engineering, or similar customer-facing technical roles\n\n - 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\n\n - Experience developing automation solutions and improving technical processes\n\n - Proven ability to troubleshoot complex technical issues in production environments\n\n - Excellent written and verbal communication skills with the ability to explain technical concepts clearly\n\n\nIt Would Be Great if You Had\n\n - Experience with speech recognition, NLP, or related AI technologies\n\n - Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)\n\n - Experience with API-first products and developer tools\n\n - Background in support automation techniques and tools\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"9e9ceef6-e22c-4157-906c-91b2da8e22ae","title":"Enterprise Account Executive - AI Platform (B2B Saas/Restaurant Tech Vertical)","department":"Sales","team":"Sales - AE","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"USA | Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}}}],"publishedAt":"2026-01-29T02:05:26.944+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/9e9ceef6-e22c-4157-906c-91b2da8e22ae","applyUrl":"https://jobs.ashbyhq.com/deepgram/9e9ceef6-e22c-4157-906c-91b2da8e22ae/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.
This is not a typical vertical SaaS role.
You will be selling Deepgram’s voice AI infrastructure into restaurant technology platforms (think Toast, Olo, DoorDash, POS/ordering systems) — the companies powering how restaurants operate at scale.
Your job is to land and expand strategic platform accounts, embedding Deepgram as the voice layer across their products.
This is a true enterprise hunting role: greenfield, high-ownership, and high impact.
We either want you 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.
OR, Remote with the ability to travel!
Build a new platform motion
Identify and break into restaurant technology companies (B2B SaaS / ISVs)
Create pipeline from scratch — no reliance on inbound
Close complex enterprise deals
Run full-cycle sales with product, engineering, and executive stakeholders
Own discovery → POC → negotiation → close
Sell technical infrastructure
Engage with VP Product, Engineering, and CTO-level buyers
Position Deepgram as a core layer in their product stack (not a point solution)
Land and expand
Initial deals may start $50K–$150K ACV, with clear path to 7-figure expansions
Build long-term platform relationships
Deal obsession
Deep personal satisfaction from closing complex deals, beating timelines, and winning competitive situations
Strong ownership mentality — you don’t wait on deals, you drive them forward
Proven enterprise closer
Demonstrated track record of closing large, complex enterprise SaaS deals ($50K–$250K+ ACV and up)
Experience running full-cycle sales motions from outbound → discovery → POC/trial → close
Platform / technical sales experience
Experience selling into B2B SaaS companies, ISVs, or platform businesses (not just end customers)
Comfortable selling technical products (API, infrastructure, AI, or developer-focused solutions)
Executive presence
Comfortable engaging VP Product, Engineering, CTO, and CXO stakeholders as a trusted, business-first partner
Able to translate technical value into clear business outcomes
Stakeholder navigation
Experience managing complex deal cycles across product, engineering, legal, procurement, and executive teams
Able to multi-thread effectively without losing control of the deal
High slope / builder mindset
Learns quickly, adapts in ambiguity, and operates effectively without heavy structure or enablement
Thrives in early-stage, evolving GTM environments where you’re expected to build, not inherit
Experience selling AI, voice, or developer/platform infrastructure products
Experience selling into restaurant technology companies or adjacent verticals (POS, ordering, delivery platforms)
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY:\n\nThis is not a typical vertical SaaS role.\n\nYou will be selling Deepgram’s voice AI infrastructure into restaurant technology platforms (think Toast, Olo, DoorDash, POS/ordering systems) — the companies powering how restaurants operate at scale.\n\nYour job is to land and expand strategic platform accounts, embedding Deepgram as the voice layer across their products.\n\nThis is a true enterprise hunting role: greenfield, high-ownership, and high impact.\n\n\nLOCATION\n\nWe either want you 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.\nOR, Remote with the ability to travel!\n\n\nWHAT YOU’LL DO\n\nBuild a new platform motion\n\n - Identify and break into restaurant technology companies (B2B SaaS / ISVs)\n\n - Create pipeline from scratch — no reliance on inbound\n\nClose complex enterprise deals\n\n - Run full-cycle sales with product, engineering, and executive stakeholders\n\n - Own discovery → POC → negotiation → close\n\nSell technical infrastructure\n\n - Engage with VP Product, Engineering, and CTO-level buyers\n\n - Position Deepgram as a core layer in their product stack (not a point solution)\n\nLand and expand\n\n - Initial deals may start $50K–$150K ACV, with clear path to 7-figure expansions\n\n - Build long-term platform relationships\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Deal obsession\n \n - Deep personal satisfaction from closing complex deals, beating timelines, and winning competitive situations\n \n - Strong ownership mentality — you don’t wait on deals, you drive them forward\n \n Proven enterprise closer\n \n - Demonstrated track record of closing large, complex enterprise SaaS deals ($50K–$250K+ ACV and up)\n \n - Experience running full-cycle sales motions from outbound → discovery → POC/trial → close\n \n Platform / technical sales experience\n \n - Experience selling into B2B SaaS companies, ISVs, or platform businesses (not just end customers)\n \n - Comfortable selling technical products (API, infrastructure, AI, or developer-focused solutions)\n \n Executive presence\n \n - Comfortable engaging VP Product, Engineering, CTO, and CXO stakeholders as a trusted, business-first partner\n \n - Able to translate technical value into clear business outcomes\n \n Stakeholder navigation\n \n - Experience managing complex deal cycles across product, engineering, legal, procurement, and executive teams\n \n - Able to multi-thread effectively without losing control of the deal\n \n High slope / builder mindset\n \n - Learns quickly, adapts in ambiguity, and operates effectively without heavy structure or enablement\n \n - Thrives in early-stage, evolving GTM environments where you’re expected to build, not inherit\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience selling AI, voice, or developer/platform infrastructure products\n\n - Experience selling into restaurant technology companies or adjacent verticals (POS, ordering, delivery platforms)\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"91ea80f4-cc54-4c52-8ef5-d2c2b2764640","title":"Corporate Account Executive","department":"Sales","team":"Sales - AE","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2025-09-05T17:07:40.052+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/91ea80f4-cc54-4c52-8ef5-d2c2b2764640","applyUrl":"https://jobs.ashbyhq.com/deepgram/91ea80f4-cc54-4c52-8ef5-d2c2b2764640/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is looking for a 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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY\n\nDeepgram 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!\n\n\nWHAT YOU'LL DO\n\n - Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers\n\n - Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Believe there should be no cap to upside and want control of account up-sell potential\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - 5-8+ years of proven experience in a technical full-cycle sales role\n\n - Experience building your own pipeline from scratch and closing accounts\n\n - Consistent overachievement against sales targets in past experiences\n\n - Strong written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time\n\n - Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.\n\nIt Would Be Great If You Had\n\n - Familiarity with Challenger or Triangle sales methodology\n\n - Experience selling to a technical audience in a similar space\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"fdb4073a-4c1c-48d6-b6d5-f407d3e78d17","title":"Research Staff, Data Science","department":"Research","team":"Research","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[{"location":"Ann Arbor, MI","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Ann Arbor, MI"}}},{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-03-11T16:35:47.460+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/fdb4073a-4c1c-48d6-b6d5-f407d3e78d17","applyUrl":"https://jobs.ashbyhq.com/deepgram/fdb4073a-4c1c-48d6-b6d5-f407d3e78d17/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.
Deepgram is currently looking for 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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY\n\nVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.\n\n\n\nTHE ROLE\n\nDeepgram is currently looking for 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.\n\n\nTHE CHALLENGE\n\nWe are seeking 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\nWHAT YOU'LL DO\n\n - Drive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation models\n\n - Develop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning models\n\n - 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\n\n - Build advanced benchmarking methodologies and curated datasets for evaluating conversational voice systems\n\n - Document and present results of data experiments and analysis for internal and external audiences\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Are obsessed with making sense out of complex and/or messy data\n\n - Enjoy building from the ground up and love to create new systems from scratch\n\n - Are passionate about AI and interested in leveraging data to solve hard problems\n\n - Are motivated by the prospect of scaling yourself using automation and AI models\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Experience building data processing pipelines from a blank page and owning the entire data stack including data acquisition, characterization, cleaning, serving and transformation\n\n - Experience and expertise applying statistical methods and deep learning models to understand complex data\n\n - Strong communication skills and the ability to translate complex concepts in simple terms, depending on the target audience\n\n - Strong software engineering skills with particular emphasis on developing clean, modular code in Python and working with Pytorch\n\n\nNICE TO HAVES\n\n - Background in Physics, Mechanical Engineering or Language Processing\n\n - Experience building models\n\n - Speech and audio experience\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"39c2b79b-0269-4711-9354-be5ccf747a98","title":"Research Staff, LLMs","department":"Research","team":"Research","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[{"location":"Ann Arbor, MI","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Ann Arbor, MI"}}},{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"Global | Remote (NA / LATAM / EMEA / APAC)","address":{"postalAddress":{}}}],"publishedAt":"2026-03-11T16:35:19.782+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/39c2b79b-0269-4711-9354-be5ccf747a98","applyUrl":"https://jobs.ashbyhq.com/deepgram/39c2b79b-0269-4711-9354-be5ccf747a98/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.
Deepgram is currently looking for an experienced researcher to who has worked extensively with Large Language Models (LLMS) and has a deep understanding of transformer architecture to join our Research Staff. As a Member of the Research Staff, this individual should have extensive experience working on the hard technical aspects of LLMs, such as data curation, distributed large-scale training, optimization of transformer architecture, and Reinforcement Learning (RL) training.
We are seeking researchers who:
See \"unsolved\" problems as opportunities to pioneer entirely new approaches
Can identify the one critical experiment that will validate or kill an idea in days, not months
Have the vision to scale successful proofs-of-concept 100x
Are obsessed with using AI to automate and amplify your own impact
If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.
Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives
Broad surveying of literature, evaluating, classifying, and distilling current methods
Designing and carrying out experimental programs for LLMs
Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production
Documenting and presenting results and complex technical concepts clearly for a target audience
Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products
Are passionate about AI and excited about working on state of the art LLM research
Have an interest in producing and applying new science to help us develop and deploy large language models
Enjoy building from the ground up and love to create new systems.
Have strong communication skills and are able to translate complex concepts clearly
Are highly analytical and enjoy delving into detailed analyses when necessary
3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism
Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning
Strong experience coding in Python and working with Pytorch
Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)
Experience with distributed computing and large-scale data processing
Prior experience in conducting experimental programs and using results to optimize models
Deep understanding of transformers, causal LMs, and their underlying architecture
Understanding of distributed training and distributed inference schemes for LLMs
Familiarity with RLHF labeling and training pipelines
Up-to-date knowledge of recent LLM techniques and developments
We are seeking researchers who:
See \"unsolved\" problems as opportunities to pioneer entirely new approaches
Can identify the one critical experiment that will validate or kill an idea in days, not months
Have the vision to scale successful proofs-of-concept 100x
Are obsessed with using AI to automate and amplify your own impact
If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.
Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives
Broad surveying of literature, evaluating, classifying, and distilling current methods
Designing and carrying out experimental programs for LLMs
Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production
Documenting and presenting results and complex technical concepts clearly for a target audience
Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products
Are passionate about AI and excited about working on state of the art LLM research
Have an interest in producing and applying new science to help us develop and deploy large language models
Enjoy building from the ground up and love to create new systems.
Have strong communication skills and are able to translate complex concepts clearly
Are highly analytical and enjoy delving into detailed analyses when necessary
3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism
Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning
Strong experience coding in Python and working with Pytorch
Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)
Experience with distributed computing and large-scale data processing
Prior experience in conducting experimental programs and using results to optimize models
Deep understanding of transformers, causal LMs, and their underlying architecture
Understanding of distributed training and distributed inference schemes for LLMs
Familiarity with RLHF labeling and training pipelines
Up-to-date knowledge of recent LLM techniques and developments
Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks
Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY\n\nVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.\n\n\n\nTHE ROLE\n\nDeepgram is currently looking for an experienced researcher to who has worked extensively with Large Language Models (LLMS) and has a deep understanding of transformer architecture to join our Research Staff. As a Member of the Research Staff, this individual should have extensive experience working on the hard technical aspects of LLMs, such as data curation, distributed large-scale training, optimization of transformer architecture, and Reinforcement Learning (RL) training.\n\n\nTHE CHALLENGE\n\nWe are seeking researchers who:\n\n - See \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\n - Can identify the one critical experiment that will validate or kill an idea in days, not months\n\n - Have the vision to scale successful proofs-of-concept 100x\n\n - Are obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\n\n\nWHAT YOU'LL DO\n\n - Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives\n\n - Broad surveying of literature, evaluating, classifying, and distilling current methods\n\n - Designing and carrying out experimental programs for LLMs\n\n - Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production\n\n - Documenting and presenting results and complex technical concepts clearly for a target audience\n\n - Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are passionate about AI and excited about working on state of the art LLM research\n\n - Have an interest in producing and applying new science to help us develop and deploy large language models\n\n - Enjoy building from the ground up and love to create new systems.\n\n - Have strong communication skills and are able to translate complex concepts clearly\n\n - Are highly analytical and enjoy delving into detailed analyses when necessary\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism\n\n - Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning\n\n - Strong experience coding in Python and working with Pytorch\n\n - Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)\n\n - Experience with distributed computing and large-scale data processing\n\n - Prior experience in conducting experimental programs and using results to optimize models\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Deep understanding of transformers, causal LMs, and their underlying architecture\n\n - Understanding of distributed training and distributed inference schemes for LLMs\n\n - Familiarity with RLHF labeling and training pipelines\n\n - Up-to-date knowledge of recent LLM techniques and developments\n\n\nTHE CHALLENGE\n\nWe are seeking researchers who:\n\n - See \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\n - Can identify the one critical experiment that will validate or kill an idea in days, not months\n\n - Have the vision to scale successful proofs-of-concept 100x\n\n - Are obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\n\n\nWHAT YOU'LL DO\n\n - Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives\n\n - Broad surveying of literature, evaluating, classifying, and distilling current methods\n\n - Designing and carrying out experimental programs for LLMs\n\n - Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production\n\n - Documenting and presenting results and complex technical concepts clearly for a target audience\n\n - Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are passionate about AI and excited about working on state of the art LLM research\n\n - Have an interest in producing and applying new science to help us develop and deploy large language models\n\n - Enjoy building from the ground up and love to create new systems.\n\n - Have strong communication skills and are able to translate complex concepts clearly\n\n - Are highly analytical and enjoy delving into detailed analyses when necessary\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism\n\n - Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning\n\n - Strong experience coding in Python and working with Pytorch\n\n - Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)\n\n - Experience with distributed computing and large-scale data processing\n\n - Prior experience in conducting experimental programs and using results to optimize models\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Deep understanding of transformers, causal LMs, and their underlying architecture\n\n - Understanding of distributed training and distributed inference schemes for LLMs\n\n - Familiarity with RLHF labeling and training pipelines\n\n - Up-to-date knowledge of recent LLM techniques and developments\n\n - Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks\n\n - Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"7ac1a5bc-f305-4f2a-a547-394566a549b2","title":"Pre-Sales Solutions Engineer - Europe","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"EU | Remote","secondaryLocations":[],"publishedAt":"2026-03-17T19:36:50.771+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"European Union"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/7ac1a5bc-f305-4f2a-a547-394566a549b2","applyUrl":"https://jobs.ashbyhq.com/deepgram/7ac1a5bc-f305-4f2a-a547-394566a549b2/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Note: this is a remote role that is to be based out of one of the following countries:
United Kingdom
Ireland
Scotland
Switzerland
Germany
Austria
Netherlands
Spain
Opportunity
Deepgram is expanding globally and operating a follow-the-sun model. We are hiring a Pre-sales Solutions Engineer in EMEA to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long-term across discovery, POC, production launch, and expansion. You will focus on pre-sales, yet you will often step into post-sales style work when the stakes are high and continuity matters.
About Applied Engineering at Deepgram
Applied Engineering blends what many companies split into Solutions Engineering, Solutions Architecture, Solutions Consulting, and Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.
What You’ll Do
Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.
Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.
Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs. Show, do not tell.
Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.
Run security and compliance threads common in EMEA. Prepare crisp responses for GDPR, ISO 27001, SOC 2, and vendor risk reviews.
Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.
Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.
Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.
Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.
Based in an EMEA time zone with strong overlap to customer business hours.
Excellent written and spoken English. Additional European languages are a strong plus.
Familiarity with procurement, InfoSec, and data privacy expectations across EMEA, including GDPR and data residency.
In the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active opportunities and engagements driven by Account Executives or partners.
First 30 days
Ramp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.
Shadow strategic discovery and POC calls.
Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.
Publish one internal field guide that clarifies a common EMEA pre-sales topic (for example data residency, telephony capture, or evaluation metrics).
By day 60
Own two evaluations end to end with defined success criteria and timelines.
Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection handling packs.
Take point on higher signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.
Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.
By day 90
Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.
Close at least one complex technical win with a measurable impact on revenue.
Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.
Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.
Enjoy the mix of customer conversations and hands-on building.
Can move from whiteboard to working code and back without losing the thread.
Communicate clearly with executives and deeply with engineers.
Value speed with rigor and crisp documentation.
Like winning together across regions and functions.
5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.
Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.
Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.
Proven track record leading POCs for enterprise customers and earning the technical win.
Clear written and verbal communication across both technical and executive audiences.
Experience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.
Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.
Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.
Strong understanding of authentication, authorization, and data residency topics that appear in EMEA enterprise reviews.
Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish.
Remote across EMEA with periodic regional meetups.
Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across EMEA, the Americas, and APAC.
Shared playbooks, defined escalation paths, and measurable SLAs.
Recruiter screen focused on experience, motivations, and logistics.
Hiring manager conversation focused on technical depth and customer impact.
Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.
Panel interviews with cross-functional partners.
Simulated pre-sales engagement based on a case study, along with and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\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\nOpportunity\n\nDeepgram is expanding globally and operating a follow-the-sun model. We are hiring a Pre-sales Solutions Engineer in EMEA to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long-term across discovery, POC, production launch, and expansion. You will focus on pre-sales, yet you will often step into post-sales style work when the stakes are high and continuity matters.\n\nAbout Applied Engineering at Deepgram \n\nApplied Engineering blends what many companies split into Solutions Engineering, Solutions Architecture, Solutions Consulting, and Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.\n\nWhat You’ll Do\n\n - Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.\n\n - Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.\n\n - Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs. Show, do not tell.\n\n - Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.\n\n - Run security and compliance threads common in EMEA. Prepare crisp responses for GDPR, ISO 27001, SOC 2, and vendor risk reviews.\n\n - Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.\n\n - Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.\n\n - Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.\n\n - Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.\n\n\nREGIONAL EXPECTATIONS\n\n - Based in an EMEA time zone with strong overlap to customer business hours.\n\n - Excellent written and spoken English. Additional European languages are a strong plus.\n\n - Familiarity with procurement, InfoSec, and data privacy expectations across EMEA, including GDPR and data residency.\n\n\nYOUR FIRST 90 DAYS\n\nIn the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active opportunities and engagements driven by Account Executives or partners.\n\nFirst 30 days\n\n - Ramp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.\n\n - Shadow strategic discovery and POC calls.\n\n - Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.\n\n - Publish one internal field guide that clarifies a common EMEA pre-sales topic (for example data residency, telephony capture, or evaluation metrics).\n\nBy day 60\n\n - Own two evaluations end to end with defined success criteria and timelines.\n\n - Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection handling packs.\n\n - Take point on higher signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.\n\n - Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.\n\nBy day 90\n\n - Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.\n\n - Close at least one complex technical win with a measurable impact on revenue.\n\n - Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.\n\n - Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.\n\n\nYOU WILL THRIVE HERE IF YOU\n\n - Enjoy the mix of customer conversations and hands-on building.\n\n - Can move from whiteboard to working code and back without losing the thread.\n\n - Communicate clearly with executives and deeply with engineers.\n\n - Value speed with rigor and crisp documentation.\n\n - Like winning together across regions and functions.\n\n\nMINIMUM QUALIFICATIONS\n\n - 5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.\n\n - Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.\n\n - Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.\n\n - Proven track record leading POCs for enterprise customers and earning the technical win.\n\n - Clear written and verbal communication across both technical and executive audiences.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.\n\n - Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.\n\n - Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.\n\n - Strong understanding of authentication, authorization, and data residency topics that appear in EMEA enterprise reviews.\n\n - Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish.\n\n\nHOW WE WORK\n\n - Remote across EMEA with periodic regional meetups.\n\n - Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across EMEA, the Americas, and APAC.\n\n - Shared playbooks, defined escalation paths, and measurable SLAs.\n\n\nINTERVIEW PROCESS\n\n - Recruiter screen focused on experience, motivations, and logistics.\n\n - Hiring manager conversation focused on technical depth and customer impact.\n\n - Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.\n\n - Panel interviews with cross-functional partners.\n\n - Simulated pre-sales engagement based on a case study, along with and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"9cb09363-9b68-4957-869a-da70b95ad6bd","title":"Solutions Architect - Europe","department":"Engineering","team":"Applied Engineering","employmentType":"FullTime","location":"EU | Remote","secondaryLocations":[],"publishedAt":"2026-03-17T19:36:40.656+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"European Union"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/9cb09363-9b68-4957-869a-da70b95ad6bd","applyUrl":"https://jobs.ashbyhq.com/deepgram/9cb09363-9b68-4957-869a-da70b95ad6bd/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Note: this is a remote role that is to be based out of one of the following countries:
United Kingdom
Ireland
Scotland
Switzerland
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!
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\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\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\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\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\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\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\nIf this sounds like you, we would love to meet you!\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"1278975c-e0d8-45be-82dd-8d0d1f2774e5","title":"Senior Pre-Sales Solutions Engineer - India","department":"Engineering","team":"Applied Engineering","employmentType":"FullTime","location":"APAC | Remote","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!
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nNote: this role is based out of India and will service the APAC region.\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\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\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\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\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\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\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\nINTERVIEW PROCESS\n\n - Recruiter screen focused on experience, motivations, and logistics.\n\n - Hiring manager conversation focused on technical depth and customer impact.\n\n - Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.\n\n - Panel interviews with cross-functional partners.\n\n - Live demo and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.\n\nIf this sounds like you, we would love to meet you!\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"64895340-1377-4b40-b182-1ec6b9644997","title":"Solutions Architect - India","department":"Engineering","team":"Applied Engineering","employmentType":"FullTime","location":"APAC | Remote","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!
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nNote: this role is based out of India and will service the APAC region.\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\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\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\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\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\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!\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"8a010608-6239-42ca-81de-c01139153eb2","title":"Partner Success Engineer","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"USA | Remote","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.
At Deepgram, we make it easy to create inspiring voice experiences. Today, we offer the Deepgram Enterprise Runtime, which powers low-latency, high-quality, affordable Speech to Text, Text to Speech, Voice Intelligence and Voice Agent APIs. What’s next? We’re building the speech company.
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 partners’ environments by combining technical expertise with commercial impact and an AI-native mindset. Customer Success Engineers are hands-on partners who ensure adoption, solve complex technical challenges, and highlight opportunities for expansion, while building the systems that make our team's work compound over time.
You are not a traditional CSM. You’re a Partner Success Engineer, someone who thrives at the intersection of APIs, customer outcomes, and channel growth. You thrive at the intersection of APIs, customer outcomes, and channel growth. You have a strong technical foundation and are comfortable running demos, guiding architecture discussions, and helping partners 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 Partner Manager, Technical Account Manager, Sales Engineer, Implementation Engineer, or Support Engineer, and you're excited to bring that blended experience to help partners realize value from day one and scale it over time.
As a Partner Success Engineer, you will nurture and grow relationships with strategic technology partners, leading initiatives that drive joint adoption, enablement, and measurable business outcomes. You will own the lifecycle for assigned partners from onboarding and enablement through engagement, performance analysis, and expansion. You will be pivotal in aligning partner strategies with Deepgram's roadmap, ensuring both Deepgram and our partners achieve shared success.
Moreover, AI is how you work, not a tool you reach for occasionally. You've rebuilt a meaningful part of your workflow around it, and going back to the pre-AI way of doing things would feel like working with one hand tied behind your back. You'd refuse to.
You're also a builder. When you see recurring work, your instinct isn't to get faster at it, it's to make it unnecessary. You've shipped something, an internal tool, an agent, a pipeline, a script, a workflow, that permanently eliminated a class of problems for you or your team.
Act as a technical expert and strategic advisor to strategic partners, engaging directly with developers, engineers, and executives to align business goals with technical solutions.
Build, nurture, and sustain partner and 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 partners, work hands-on to drive adoption, and actively embed Deepgram into their workflows.
Own and manage the full partner lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.
Focus on making Deepgram successful in the partner ecosystem, 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 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 L1-style issues, bridging the gap between technical support, solutions design, and commercial growth.
Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies.
Proactively identify and scope opportunities for expansion (cross-sell, upsell, multi-product adoption), partnering with Sales.
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 partner internally, influencing product roadmap, GTM strategy, and the internal tools and processes we build to support partners and customers.
Lead issue resolution and serve as an escalation point for complex, cross-functional partner matters, ensuring timely and satisfactory outcomes.
Build the systems that make partner success scale. Design and ship the tools, agents, dashboards, and automated workflows that turn one-off partner interactions into repeatable, self-serve experiences. Your output is measured not just by the partners you serve, but by the leverage you create for the entire partner ecosystem.
Operate AI-first by default. Every repeatable part of your job, partner research, technical enablement prep, integration diagnostics, follow-ups, QBR analysis, should run through AI workflows you've designed. If you catch yourself doing something manually more than twice, your next move is to build the system that removes it.
Thrive at the intersection of sales engineering, account management, and customer success.
Have high EQ and 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!
Would be genuinely uncomfortable going back to a pre-AI workflow. You've rebuilt how you work and the new way is non-negotiable.
Get more satisfaction from building the system that handles a task forever than from completing the task once, especially in partner work, where one good system can serve thousands of downstream users.
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 with 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, developer workflows, and troubleshoot basic L1-style support questions (no coding required, but must be fluent in technical conversations)
Experience engaging across technical teams (developers, architects, support) and executive buyers (CIO, CTO, VP Engineering, etc.). Demonstrated success building strong relationships and delivering key business outcomes.
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 strong understanding of partner ecosystems, channel business models (resale, referral, integrations, co-marketing, co-selling), and multi-party commercial dynamics.
Evidence of something you've built, a tool, agent, script, dashboard, or workflow, that permanently eliminated recurring work for yourself, your team, or a partner. In your application, tell us what it was, what it replaced, and what it's still doing today. Bonus points if it scaled to serve people beyond you.
An AI-native operating model. You can point to specific workflows that structurally depend on AI and describe how you'd rebuild them if the tools you rely on disappeared tomorrow.
A background spanning solutions engineering, technical account management, or L1 support in addition to CSM or Partner Management responsibilities.
Experience working in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies.
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, but you need to be dangerous enough to ship working systems.
Familiarity with channel/partner marketing, enablement programs, or technical enablement asset creation.
This job description incorporates the strategic focus, cross-functional partnership, and data-driven approach that define Deepgram’s go-to-market and customer-centric roles. If you’re passionate about helping partners and technology companies thrive together, and you love operating where innovation and relationship management intersect, we’d like to hear from you.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nAt Deepgram, we make it easy to create inspiring voice experiences https://playground.deepgram.com/?endpoint=agent&language=en&speakModel=aura-asteria-en&listenModel=nova-3&customWelcomeMessage=&llmProviderType=open_ai&llmModelName=gpt-4.1. Today, we offer the Deepgram Enterprise Runtime, which powers low-latency, high-quality, affordable Speech to Text, Text to Speech, Voice Intelligence and Voice Agent APIs. What’s next? We’re building the speech company.\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 partners’ environments by combining technical expertise with commercial impact and an AI-native mindset. Customer Success Engineers are hands-on partners who ensure adoption, solve complex technical challenges, and highlight opportunities for expansion, while building the systems that make our team's work compound over time.\n\n\nWHO YOU ARE\n\nYou are not a traditional CSM. You’re a Partner Success Engineer, someone who thrives at the intersection of APIs, customer outcomes, and channel growth. You thrive at the intersection of APIs, customer outcomes, and channel growth. You have a strong technical foundation and are comfortable running demos, guiding architecture discussions, and helping partners 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 Partner Manager, Technical Account Manager, Sales Engineer, Implementation Engineer, or Support Engineer, and you're excited to bring that blended experience to help partners realize value from day one and scale it over time.\n\nAs a Partner Success Engineer, you will nurture and grow relationships with strategic technology partners, leading initiatives that drive joint adoption, enablement, and measurable business outcomes. You will own the lifecycle for assigned partners from onboarding and enablement through engagement, performance analysis, and expansion. You will be pivotal in aligning partner strategies with Deepgram's roadmap, ensuring both Deepgram and our partners achieve shared success.\n\nMoreover, AI is how you work, not a tool you reach for occasionally. You've rebuilt a meaningful part of your workflow around it, and going back to the pre-AI way of doing things would feel like working with one hand tied behind your back. You'd refuse to.\n\nYou're also a builder. When you see recurring work, your instinct isn't to get faster at it, it's to make it unnecessary. You've shipped something, an internal tool, an agent, a pipeline, a script, a workflow, that permanently eliminated a class of problems for you or your team.\n\n\nWHAT YOU’LL DO\n\n - Act as a technical expert and strategic advisor to strategic partners, engaging directly with developers, engineers, and executives to align business goals with technical solutions.\n\n - Build, nurture, and sustain partner and 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 partners, work hands-on to drive adoption, and actively embed Deepgram into their workflows.\n\n - Own and manage the full partner lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.\n\n - Focus on making Deepgram successful in the partner ecosystem, 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 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 L1-style issues, bridging the gap between technical support, solutions design, and commercial growth.\n\n - Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies.\n\n - Proactively identify and scope opportunities for expansion (cross-sell, upsell, multi-product adoption), partnering with Sales.\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 partner internally, influencing product roadmap, GTM strategy, and the internal tools and processes we build to support partners and customers.\n\n - Lead issue resolution and serve as an escalation point for complex, cross-functional partner matters, ensuring timely and satisfactory outcomes.\n\n - Build the systems that make partner success scale. Design and ship the tools, agents, dashboards, and automated workflows that turn one-off partner interactions into repeatable, self-serve experiences. Your output is measured not just by the partners you serve, but by the leverage you create for the entire partner ecosystem.\n\n - Operate AI-first by default. Every repeatable part of your job, partner research, technical enablement prep, integration diagnostics, follow-ups, QBR analysis, should run through AI workflows you've designed. If you catch yourself doing something manually more than twice, your next move is to build the system that removes it.\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 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 - Would be genuinely uncomfortable going back to a pre-AI workflow. You've rebuilt how you work and the new way is non-negotiable.\n\n - Get more satisfaction from building the system that handles a task forever than from completing the task once, especially in partner work, where one good system can serve thousands of downstream users.\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 with 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, developer workflows, and troubleshoot basic L1-style support questions (no coding required, but must be fluent in technical conversations)\n\n - Experience engaging across technical teams (developers, architects, support) and executive buyers (CIO, CTO, VP Engineering, etc.). Demonstrated success building strong relationships and delivering key business outcomes.\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 - A strong understanding of partner ecosystems, channel business models (resale, referral, integrations, co-marketing, co-selling), and multi-party commercial dynamics.\n\n - Evidence of something you've built, a tool, agent, script, dashboard, or workflow, that permanently eliminated recurring work for yourself, your team, or a partner. In your application, tell us what it was, what it replaced, and what it's still doing today. Bonus points if it scaled to serve people beyond you.\n\n - An AI-native operating model. You can point to specific workflows that structurally depend on AI and describe how you'd rebuild them if the tools you rely on disappeared tomorrow.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - A background spanning solutions engineering, technical account management, or L1 support in addition to CSM or Partner Management responsibilities.\n\n - Experience working in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies.\n\n - Working fluency with automation, scripting, or agent-building (Python, TypeScript, workflow tools, agent frameworks, or equivalent). You don't need to be a software engineer, but you need to be dangerous enough to ship working systems.\n\n - Familiarity with channel/partner marketing, enablement programs, or technical enablement asset creation.\n\nThis job description incorporates the strategic focus, cross-functional partnership, and data-driven approach that define Deepgram’s go-to-market and customer-centric roles. If you’re passionate about helping partners and technology companies thrive together, and you love operating where innovation and relationship management intersect, we’d like to hear from you.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"faef2c32-5084-48ca-8fff-e86d653f2697","title":"Customer Success Engineer (Americas)","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-24T17:15:08.100+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/faef2c32-5084-48ca-8fff-e86d653f2697","applyUrl":"https://jobs.ashbyhq.com/deepgram/faef2c32-5084-48ca-8fff-e86d653f2697/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, 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 and an AI-native mindset. Customer Success Engineers are hands-on partners who ensure adoption, solve complex technical challenges, and highlight opportunities for expansion, while building the systems that make our team's work compound over time.
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're 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 Support Engineer, and you're excited to bring that blended experience to help customers realize value from day one and scale it over time.
Moreover, AI is how you work, not a tool you reach for occasionally. You've rebuilt a meaningful part of your workflow around it, and going back to the pre-AI way of doing things would feel like working with one hand tied behind your back. You'd refuse to.
You're also a builder. When you see recurring work, your instinct isn't to get faster at it, it's to make it unnecessary. You've shipped something, an internal tool, an agent, a pipeline, a script, a workflow, that permanently eliminated a class of problems for you or your team.
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 L1-style issues, bridging the gap between technical support, solutions design, and commercial growth.
Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies.
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 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).
Operate AI-first by default. Every repeatable part of your job, research, prep, account summaries, follow-ups, technical investigation, should run through AI workflows you've designed. If you catch yourself doing something manually more than twice, your next move is to build the system that removes it.
Build internal tools, agents, and systems that eliminate recurring work for yourself and the broader Customer Success team. Your output is measured not just by the customers you serve, but by the leverage you create for everyone else.
Thrive at the intersection of sales engineering, account management, and customer success.
Have high EQ and 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.
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.
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.
Would be genuinely uncomfortable going back to a pre-AI workflow. You've rebuilt how you work and the new way is non-negotiable.
Get more satisfaction from building the system that handles a task forever than from completing the task once.
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 with 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, developer workflows, and troubleshoot basic L1-style support questions (no coding required, but must be fluent in technical conversations)
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 strong understanding of partner ecosystems, channel business models (resale, referral, integrations, co-marketing, co-selling), and multi-party commercial dynamics.
Evidence of something you've built, a tool, agent, script, or workflow, that permanently eliminated recurring work for yourself or your team. In your application, tell us what it was, what it replaced, and what it's still doing today.
An AI-native operating model. You can point to specific workflows that structurally depend on AI and describe how you'd rebuild them if the tools you rely on disappeared tomorrow.
A background spanning solutions engineering, technical account management, or L1 support in addition to CSM responsibilities.
Experience working in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies.
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, but you need to be dangerous enough to ship working systems.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\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 and an AI-native mindset. Customer Success Engineers are hands-on partners who ensure adoption, solve complex technical challenges, and highlight opportunities for expansion, while building the systems that make our team's work compound over time.\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're 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 Support Engineer, and you're excited to bring that blended experience to help customers realize value from day one and scale it over time.\n\nMoreover, AI is how you work, not a tool you reach for occasionally. You've rebuilt a meaningful part of your workflow around it, and going back to the pre-AI way of doing things would feel like working with one hand tied behind your back. You'd refuse to.\n\nYou're also a builder. When you see recurring work, your instinct isn't to get faster at it, it's to make it unnecessary. You've shipped something, an internal tool, an agent, a pipeline, a script, a workflow, that permanently eliminated a class of problems for you or your team.\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 L1-style issues, bridging the gap between technical support, solutions design, and commercial growth.\n\n - Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies.\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 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 - Operate AI-first by default. Every repeatable part of your job, research, prep, account summaries, follow-ups, technical investigation, should run through AI workflows you've designed. If you catch yourself doing something manually more than twice, your next move is to build the system that removes it.\n\n - Build internal tools, agents, and systems that eliminate recurring work for yourself and the broader Customer Success team. Your output is measured not just by the customers you serve, but by the leverage you create for everyone else.\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 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.\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.\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 - Would be genuinely uncomfortable going back to a pre-AI workflow. You've rebuilt how you work and the new way is non-negotiable.\n\n - Get more satisfaction from building the system that handles a task forever than from completing the task once.\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 with 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, developer workflows, and troubleshoot basic L1-style support questions (no coding required, but must be fluent in technical conversations)\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 - A strong understanding of partner ecosystems, channel business models (resale, referral, integrations, co-marketing, co-selling), and multi-party commercial dynamics.\n\n - Evidence of something you've built, a tool, agent, script, or workflow, that permanently eliminated recurring work for yourself or your team. In your application, tell us what it was, what it replaced, and what it's still doing today.\n\n - An AI-native operating model. You can point to specific workflows that structurally depend on AI and describe how you'd rebuild them if the tools you rely on disappeared tomorrow.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - A background spanning solutions engineering, technical account management, or L1 support in addition to CSM responsibilities.\n\n - Experience working in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies.\n\n - Working fluency with automation, scripting, or agent-building (Python, TypeScript, workflow tools, agent frameworks, or equivalent). You don't need to be a software engineer, but you need to be dangerous enough to ship working systems.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"cdecda60-85d8-4b7f-94db-c4665b3d5988","title":"EMEA Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London, UK","secondaryLocations":[{"location":"EMEA | Remote","address":{"postalAddress":{"addressCountry":"United Kingdom"}}}],"publishedAt":"2026-03-09T19:22:14.219+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"England","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/cdecda60-85d8-4b7f-94db-c4665b3d5988","applyUrl":"https://jobs.ashbyhq.com/deepgram/cdecda60-85d8-4b7f-94db-c4665b3d5988/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Based in an EMEA time zone with strong overlap to customer business hours.
Excellent written and spoken English. Additional European languages are a strong plus.
Deepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!
Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings
Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness
Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers
Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing
Value having leadership that has tenure and a track record of success
Thrive working with A Players as cross-functional partners across GTM
Understand the importance of selling a product that is market validated and can deliver on its technical promise
Believe there should be no cap to upside and want control of account up-sell potential
Are passionate about what Deepgram is building and how we are changing what is possible with speech
Proven experience in a technical full-cycle sales role
Experience building your own pipeline from scratch and closing accounts
Consistent overachievement against sales targets in past experiences
Strong written and verbal communication skills
Empathy and a unique ability to understand customer needs
Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time
Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.
It Would Be Great If You Had
Familiarity with Challenger or Triangle sales methodology
Experience selling to a technical audience in a similar space
Experience selling developer tools, infrastructure, or AI/ML technologies.
Fluency in German, French, Dutch, or other major regional languages.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nNOTE: THIS ROLE IS BASED OUT OF THE EMEA TERRITORY.\n\n\nREGIONAL EXPECTATIONS\n\n - Based in an EMEA time zone with strong overlap to customer business hours.\n\n - Excellent written and spoken English. Additional European languages are a strong plus.\n\n\nOPPORTUNITY\n\nDeepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!\n\n\nWHAT YOU'LL DO\n\n - Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers\n\n - Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Believe there should be no cap to upside and want control of account up-sell potential\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Proven experience in a technical full-cycle sales role\n\n - Experience building your own pipeline from scratch and closing accounts\n\n - Consistent overachievement against sales targets in past experiences\n\n - Strong written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time\n\n - Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.\n\n - It Would Be Great If You Had\n\n - Familiarity with Challenger or Triangle sales methodology\n\n - Experience selling to a technical audience in a similar space\n\n - Experience selling developer tools, infrastructure, or AI/ML technologies.\n\n - Fluency in German, French, Dutch, or other major regional languages.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"4e87eb01-262c-4978-9a29-b8cdf09386df","title":"Engineering Manager, Active Learning","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-03-14T12:07:47.197+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/4e87eb01-262c-4978-9a29-b8cdf09386df","applyUrl":"https://jobs.ashbyhq.com/deepgram/4e87eb01-262c-4978-9a29-b8cdf09386df/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 Engineering Manager to lead the design and implementation of Deepgram’s internal data and ML training systems. You will lead a team of engineers in building crucial components for driving a data flywheel that powers fundamental product quality as well as a system for large-scale, distributed ML training on a HPC cluster. Your ability to partner effectively with leaders and ICs in Research and DataOps while leading talented engineers to build, maintain, and extend mission-critical systems will contribute significantly to Deepgram’s competitive advantage. You will be a critical voice in Deepgram’s DataOps, Research, and Engineering teams, driving high impact products from start to finish.
Recruit, hire, train, and support top engineering talent to build a world-class team
Transform cross-functional visions into detailed project plans, ensuring clarity across teams on commitments, risks, and timelines
Define and own the technical strategy enabling acceleration of Deepgram’s ML training pipelines
Promote a robust team engineering culture, including a focus on rigorous engineering standards as well as continuous improvement on team practices and processes
Partner with DataOps and Research to design and implement new services, features, and/or products end to end
Coach and mentor engineers to achieve high personal growth while delivering on ambitious team goals
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
See management as an opportunity to empower a team to solve big problems through your own grit, learning, and empathy
Proven experience managing and leading and growing a team with a consistent record of mentoring and coaching team members
A strong technical background building world class solutions
The ability to drive technical decisions in a scalable and thoughtful manner
Passion about good engineering practices, emerging technologies, and improving processes
A passion for navigating the team through the real-world constraints of a startup: how to build quickly, iterate frequently, and run experiments
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
Experience working in high-growth startups
Familiarity with hybrid cloud models (bare-metal datacenters and cloud service providers) and scaled databases
Deep experience with machine learning training, inference, or both
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nOPPORTUNITY\n\nDeepgram is looking for an Engineering Manager to lead the design and implementation of Deepgram’s internal data and ML training systems. You will lead a team of engineers in building crucial components for driving a data flywheel that powers fundamental product quality as well as a system for large-scale, distributed ML training on a HPC cluster. Your ability to partner effectively with leaders and ICs in Research and DataOps while leading talented engineers to build, maintain, and extend mission-critical systems will contribute significantly to Deepgram’s competitive advantage. You will be a critical voice in Deepgram’s DataOps, Research, and Engineering teams, driving high impact products from start to finish.\n\n\nWHAT YOU’LL DO\n\n - Recruit, hire, train, and support top engineering talent to build a world-class team\n\n - Transform cross-functional visions into detailed project plans, ensuring clarity across teams on commitments, risks, and timelines\n\n - Define and own the technical strategy enabling acceleration of Deepgram’s ML training pipelines\n\n - Promote a robust team engineering culture, including a focus on rigorous engineering standards as well as continuous improvement on team practices and processes\n\n - Partner with DataOps and Research to design and implement new services, features, and/or products end to end\n\n - Coach and mentor engineers to achieve high personal growth while delivering on ambitious team goals\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity\n\n - Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work\n\n - See management as an opportunity to empower a team to solve big problems through your own grit, learning, and empathy\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Proven experience managing and leading and growing a team with a consistent record of mentoring and coaching team members\n\n - A strong technical background building world class solutions\n\n - The ability to drive technical decisions in a scalable and thoughtful manner\n\n - Passion about good engineering practices, emerging technologies, and improving processes\n\n - A passion for navigating the team through the real-world constraints of a startup: how to build quickly, iterate frequently, and run experiments\n\n - 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\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience working in high-growth startups\n\n - Familiarity with hybrid cloud models (bare-metal datacenters and cloud service providers) and scaled databases\n\n - Deep experience with machine learning training, inference, or both\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"69d7f329-968a-4c9d-a0b4-972f83f1206c","title":"Technical Program Manager, Research","department":"Research","team":"Research","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-23T15:54:06.590+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/69d7f329-968a-4c9d-a0b4-972f83f1206c","applyUrl":"https://jobs.ashbyhq.com/deepgram/69d7f329-968a-4c9d-a0b4-972f83f1206c/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 AI stands at the cusp of a paradigm shift. Current approaches to voice interaction are fundamentally limited by the scarcity and diversity of audio data, combined with the prohibitive computational costs of processing high-dimensional audio at scale. These challenges have created a gap between the promise of universal voice interaction and today’s reality. While our research scientists pioneer new approaches in Latent Space Models (LSMs) to solve these fundamental challenges, we need exceptional technical program leadership to turn these breakthroughs into shipped products. The complexity of our mission (spanning audio compression, generative modeling, and multimodal systems) demands rigorous cross-functional execution, precise dependency management, and relentless focus on delivering the technical systems that turn research breakthroughs into real-world impact. As our research matures and the path from experiment to product grows shorter, we need a Technical Program Manager embedded in the work: someone who drives delivery, owns risk, and makes sure Research, Product, DataOps, and Engineering are always moving together.
You will be embedded in Deepgram’s Research organization, working at the intersection of research output and technical delivery. This is not a role where “done” is always easy to define. You’ll be working with teams where timelines shift as experiments succeed or fail, where a model that looked ready last week needs another iteration this week, and where earning the trust of researchers matters as much as building the right process. Your job is to bring structure and delivery discipline to that environment without making it feel like a software release cycle.
When you arrive, you’ll inherit a portfolio of active cross-functional programs spanning STT and TTS model development, data pipeline work, and evaluation infrastructure. In your first 90 days, success looks like: having a clear map of what’s in flight, who owns what, and where the risks are; having established a working rhythm with Research, Product, DataOps, and Engineering leads; and having driven at least one meaningful delivery milestone across teams. Concretely, over time you will:
Own end-to-end delivery of new model versions and features for our flagship STT and TTS offerings, coordinating tightly across Research, Product, DataOps, and Engineering to hit milestones and ship on time
Define and champion lightweight but effective processes that bring visibility and accountability to researchers’ daily workflows without adding unnecessary overhead or stifling scientific creativity
Map dependencies and risks across all active cross-functional projects; maintain a clear picture of where things stand, where they’re at risk, and what needs to happen to keep execution on track
Run cross-functional programs end-to-end: scope definition, timeline management, stakeholder communication, risk mitigation, and launch readiness
Troubleshoot cross-team blockers quickly and build reliable partnerships across the technical organization so that handoffs between teams are smooth and accountability is clear
Own proactive communication across all levels of the organization: leadership should always have an accurate read on project health, and teams should always know how their work fits into the bigger picture
Respond quickly to shifting priorities, translating decisions made upstream into clear implications for timelines, team capacity, and cross-functional dependencies
We are seeking a Technical Program Manager who:
Can drive delivery of complex, multi-team technical programs without losing sight of the details that make or break a launch
Excels at identifying dependencies and risks early, before they become frictional forces or blockers that slow research or delay product timelines
Has the technical depth to sit in a room with ML researchers and engineers and understand what’s actually being built
Knows how to bring just enough process to an environment that runs fast and resists overhead and knows when to enforce structure versus get out of the way
Can build trusted relationships across Research, Product, DataOps, and Engineering, and hold those teams accountable to each other without creating friction
Communicates status and risk clearly to both technical and non-technical stakeholders, and knows when to escalate
If you find yourself thinking about how to untangle a cross-team dependency while still reading through a model evaluation report, if you’re equally comfortable running a launch readiness review and a technical scoping session, you might be the TPM we need. This role demands a rare combination of technical credibility, execution discipline, and emotional intelligence to keep complex programs moving across a fast-paced research organization.
5+ years of experience as a Technical Program Manager or Engineering Program Manager, ideally with meaningful time spent supporting or embedded in an AI/ML Research organization
In-depth, working knowledge of how machine learning systems are built (i.e., data pipelines, model training, evaluation, and serving) that allows you to engage meaningfully with researchers and engineers on technical tradeoffs
Proven track record of delivering complex, multi-workstream technical programs on time across teams with competing priorities
Demonstrated ability to map cross-functional dependencies and technical risk across concurrent projects, with clear status communication to all stakeholders
Experience designing lightweight processes that improve execution velocity and accountability in research or engineering environments without adding bureaucratic overhead
Strong analytical skills for evaluating program health, spotting bottlenecks early, and making data-informed prioritization decisions
Excellent communication in both directions: crisp updates for senior leadership, clear direction for researchers
A pragmatic, roll-up-your-sleeves orientation: we need you to be equally effective at the strategic level and in the details
Bonus points for experience with speech or audio projects — audio data collection and labeling, audio model evaluation (including human eval), or shipping products where audio quality is the core user experience
This job description was written as a collaboration between a DG Research staff member and Claude-4.6-Sonnet using our Research Program Manager JD, Engineering TPM JD, and several external Research TPM JDs as context. We think the produced JD maintains strong alignment with our vision for pioneering voice AI while focusing on the crucial program management aspects that will enable our research teams to succeed.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY\n\nVoice AI stands at the cusp of a paradigm shift. Current approaches to voice interaction are fundamentally limited by the scarcity and diversity of audio data, combined with the prohibitive computational costs of processing high-dimensional audio at scale. These challenges have created a gap between the promise of universal voice interaction and today’s reality. While our research scientists pioneer new approaches in Latent Space Models (LSMs) to solve these fundamental challenges, we need exceptional technical program leadership to turn these breakthroughs into shipped products. The complexity of our mission (spanning audio compression, generative modeling, and multimodal systems) demands rigorous cross-functional execution, precise dependency management, and relentless focus on delivering the technical systems that turn research breakthroughs into real-world impact. As our research matures and the path from experiment to product grows shorter, we need a Technical Program Manager embedded in the work: someone who drives delivery, owns risk, and makes sure Research, Product, DataOps, and Engineering are always moving together.\n\n\nWHAT YOU'LL DO\n\nYou will be embedded in Deepgram’s Research organization, working at the intersection of research output and technical delivery. This is not a role where “done” is always easy to define. You’ll be working with teams where timelines shift as experiments succeed or fail, where a model that looked ready last week needs another iteration this week, and where earning the trust of researchers matters as much as building the right process. Your job is to bring structure and delivery discipline to that environment without making it feel like a software release cycle.\n\nWhen you arrive, you’ll inherit a portfolio of active cross-functional programs spanning STT and TTS model development, data pipeline work, and evaluation infrastructure. In your first 90 days, success looks like: having a clear map of what’s in flight, who owns what, and where the risks are; having established a working rhythm with Research, Product, DataOps, and Engineering leads; and having driven at least one meaningful delivery milestone across teams. Concretely, over time you will:\n\n - Own end-to-end delivery of new model versions and features for our flagship STT and TTS offerings, coordinating tightly across Research, Product, DataOps, and Engineering to hit milestones and ship on time\n\n - Define and champion lightweight but effective processes that bring visibility and accountability to researchers’ daily workflows without adding unnecessary overhead or stifling scientific creativity\n\n - Map dependencies and risks across all active cross-functional projects; maintain a clear picture of where things stand, where they’re at risk, and what needs to happen to keep execution on track\n\n - Run cross-functional programs end-to-end: scope definition, timeline management, stakeholder communication, risk mitigation, and launch readiness\n\n - Troubleshoot cross-team blockers quickly and build reliable partnerships across the technical organization so that handoffs between teams are smooth and accountability is clear\n\n - Own proactive communication across all levels of the organization: leadership should always have an accurate read on project health, and teams should always know how their work fits into the bigger picture\n\n - Respond quickly to shifting priorities, translating decisions made upstream into clear implications for timelines, team capacity, and cross-functional dependencies\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\nWe are seeking a Technical Program Manager who:\n\n - Can drive delivery of complex, multi-team technical programs without losing sight of the details that make or break a launch\n\n - Excels at identifying dependencies and risks early, before they become frictional forces or blockers that slow research or delay product timelines\n\n - Has the technical depth to sit in a room with ML researchers and engineers and understand what’s actually being built\n\n - Knows how to bring just enough process to an environment that runs fast and resists overhead and knows when to enforce structure versus get out of the way\n\n - Can build trusted relationships across Research, Product, DataOps, and Engineering, and hold those teams accountable to each other without creating friction\n\n - Communicates status and risk clearly to both technical and non-technical stakeholders, and knows when to escalate\n\nIf you find yourself thinking about how to untangle a cross-team dependency while still reading through a model evaluation report, if you’re equally comfortable running a launch readiness review and a technical scoping session, you might be the TPM we need. This role demands a rare combination of technical credibility, execution discipline, and emotional intelligence to keep complex programs moving across a fast-paced research organization.\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - 5+ years of experience as a Technical Program Manager or Engineering Program Manager, ideally with meaningful time spent supporting or embedded in an AI/ML Research organization\n\n - In-depth, working knowledge of how machine learning systems are built (i.e., data pipelines, model training, evaluation, and serving) that allows you to engage meaningfully with researchers and engineers on technical tradeoffs\n\n - Proven track record of delivering complex, multi-workstream technical programs on time across teams with competing priorities\n\n - Demonstrated ability to map cross-functional dependencies and technical risk across concurrent projects, with clear status communication to all stakeholders\n\n - Experience designing lightweight processes that improve execution velocity and accountability in research or engineering environments without adding bureaucratic overhead\n\n - Strong analytical skills for evaluating program health, spotting bottlenecks early, and making data-informed prioritization decisions\n\n - Excellent communication in both directions: crisp updates for senior leadership, clear direction for researchers\n\n - A pragmatic, roll-up-your-sleeves orientation: we need you to be equally effective at the strategic level and in the details\n\n - Bonus points for experience with speech or audio projects — audio data collection and labeling, audio model evaluation (including human eval), or shipping products where audio quality is the core user experience\n\n\nHOW WE GENERATED THIS JOB DESCRIPTION\n\nThis job description was written as a collaboration between a DG Research staff member and Claude-4.6-Sonnet using our Research Program Manager JD, Engineering TPM JD, and several external Research TPM JDs as context. We think the produced JD maintains strong alignment with our vision for pioneering voice AI while focusing on the crucial program management aspects that will enable our research teams to succeed.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"f8b9322f-67a4-448f-bd2c-e9a102c4a55d","title":"EMEA Account Executive (German speaking)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London, UK","secondaryLocations":[{"location":"EMEA | Remote","address":{"postalAddress":{"addressCountry":"United Kingdom"}}}],"publishedAt":"2026-02-23T20:42:19.453+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"England","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/f8b9322f-67a4-448f-bd2c-e9a102c4a55d","applyUrl":"https://jobs.ashbyhq.com/deepgram/f8b9322f-67a4-448f-bd2c-e9a102c4a55d/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Based in an EMEA time zone with strong overlap to customer business hours.
Excellent written and spoken English. Additional European languages are a strong plus.
Native-level or full professional fluency in German (written and spoken), with the ability to conduct complex sales conversations and negotiations.
Deepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company, specifically in the German markets. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!
Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings
Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness
Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers
Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing
Value having leadership that has tenure and a track record of success
Thrive working with A Players as cross-functional partners across GTM
Understand the importance of selling a product that is market validated and can deliver on its technical promise
Believe there should be no cap to upside and want control of account up-sell potential
Are passionate about what Deepgram is building and how we are changing what is possible with speech
Proven experience in a technical full-cycle sales role
Experience building your own pipeline from scratch and closing accounts
Consistent overachievement against sales targets in past experiences
Strong written and verbal communication skills
Empathy and a unique ability to understand customer needs
Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time
Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.
It Would Be Great If You Had
Familiarity with Challenger or Triangle sales methodology
Experience selling to a technical audience in a similar space
Experience selling developer tools, infrastructure, or AI/ML technologies.
Fluency in German, French, Dutch, or other major regional languages.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nNOTE: THIS ROLE IS BASED OUT OF THE EMEA TERRITORY, SPECIFICALLY LONDON, UK.\n\n\nREGIONAL EXPECTATIONS\n\n - Based in an EMEA time zone with strong overlap to customer business hours.\n\n - Excellent written and spoken English. Additional European languages are a strong plus.\n\n\nGERMAN LANGUAGE EXPECTATIONS\n\n - Native-level or full professional fluency in German (written and spoken), with the ability to conduct complex sales conversations and negotiations.\n\n\nOPPORTUNITY\n\nDeepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company, specifically in the German markets. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!\n\n\nWHAT YOU'LL DO\n\n - Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers\n\n - Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Believe there should be no cap to upside and want control of account up-sell potential\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Proven experience in a technical full-cycle sales role\n\n - Experience building your own pipeline from scratch and closing accounts\n\n - Consistent overachievement against sales targets in past experiences\n\n - Strong written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time\n\n - Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.\n\n - It Would Be Great If You Had\n\n - Familiarity with Challenger or Triangle sales methodology\n\n - Experience selling to a technical audience in a similar space\n\n - Experience selling developer tools, infrastructure, or AI/ML technologies.\n\n - Fluency in German, French, Dutch, or other major regional languages.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"c270da71-66b3-4f9f-9ee1-773a062944d3","title":"QA Engineering Manager","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"USA | Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}}}],"publishedAt":"2025-12-24T00:20:59.061+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/c270da71-66b3-4f9f-9ee1-773a062944d3","applyUrl":"https://jobs.ashbyhq.com/deepgram/c270da71-66b3-4f9f-9ee1-773a062944d3/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.
You’ll ensure Deepgram’s rapid releases don’t sacrifice quality, compliance, or customer trust. As QA Engineering Manager, you’ll be the quality owner across product lines, embedding testing discipline into engineering culture and scaling it with our growth.
Own QA Strategy & Execution: Define and execute the cross-product test strategy (manual + automated) with daily/weekly validation cycles.
Build & Lead Team: Manage, mentor, and grow a QA team spanning engineers and specialists.
Cross-Engineering Alignment: Partner with product and engineering managers to embed testing into every release pipeline.
Test Infrastructure & Tooling: Drive strategy and adoption of frameworks, automation platforms, and CI/CD quality gates.
Governance & Compliance: Own QA oversight for HIPAA, PCI FedRAMP, and all applicable quality standards.
Quality Metrics & Reporting: Define KPIs, publish regular dashboards, and lead quality reviews with engineering and product leadership.
Release Candidate Qualification: Be the final gatekeeper for release signoff, balancing risk and velocity for our frontier AI services.
Customer Feedback Integration: Tie production monitoring and support feedback into QA strategy and iteration cycles.
Exploratory Testing: Foster edge-case discovery and testing creativity to prevent regressions and long term improvement for frontier research based products.
Enjoy owning the quality strategy across all product lines and lead the team responsible for ensuring Deepgram products meet the highest standards of reliability, objective and subjective quality as a customer-focused leader
Like balancing hands-on technical oversight with strategic leadership, building out QA frameworks and automation, as well as orchestration and governance that scale with our engineering velocity
7+ years in QA or Software Engineering with 2–3+ years in a leadership/managerial role
Proven experience leading test strategy and execution in SaaS, APIs, or AI/ML platforms
Expertise in test automation frameworks, CI/CD integration, and cross-platform validation
Familiarity with compliance frameworks (HIPAA, SOC2, FedRAMP)
Strong communicator, capable of aligning quality priorities across engineering, product, and operations
Data-driven mindset: experienced in defining and acting on KPIs and operational metrics
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY\n\nYou’ll ensure Deepgram’s rapid releases don’t sacrifice quality, compliance, or customer trust. As QA Engineering Manager, you’ll be the quality owner across product lines, embedding testing discipline into engineering culture and scaling it with our growth.\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Own QA Strategy & Execution: Define and execute the cross-product test strategy (manual + automated) with daily/weekly validation cycles.\n\n - Build & Lead Team: Manage, mentor, and grow a QA team spanning engineers and specialists.\n\n - Cross-Engineering Alignment: Partner with product and engineering managers to embed testing into every release pipeline.\n\n - Test Infrastructure & Tooling: Drive strategy and adoption of frameworks, automation platforms, and CI/CD quality gates.\n\n - Governance & Compliance: Own QA oversight for HIPAA, PCI FedRAMP, and all applicable quality standards.\n\n - Quality Metrics & Reporting: Define KPIs, publish regular dashboards, and lead quality reviews with engineering and product leadership.\n\n - Release Candidate Qualification: Be the final gatekeeper for release signoff, balancing risk and velocity for our frontier AI services.\n\n - Customer Feedback Integration: Tie production monitoring and support feedback into QA strategy and iteration cycles.\n\n - Exploratory Testing: Foster edge-case discovery and testing creativity to prevent regressions and long term improvement for frontier research based products.\n\n\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Enjoy owning the quality strategy across all product lines and lead the team responsible for ensuring Deepgram products meet the highest standards of reliability, objective and subjective quality as a customer-focused leader\n\n - Like balancing hands-on technical oversight with strategic leadership, building out QA frameworks and automation, as well as orchestration and governance that scale with our engineering velocity\n\n\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 7+ years in QA or Software Engineering with 2–3+ years in a leadership/managerial role\n\n - Proven experience leading test strategy and execution in SaaS, APIs, or AI/ML platforms\n\n - Expertise in test automation frameworks, CI/CD integration, and cross-platform validation\n\n - Familiarity with compliance frameworks (HIPAA, SOC2, FedRAMP)\n\n - Strong communicator, capable of aligning quality priorities across engineering, product, and operations\n\n - Data-driven mindset: experienced in defining and acting on KPIs and operational metrics\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"0796cc37-96a7-4158-8a00-155962da275a","title":"Backend Software Engineer - Active Learning Team","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2025-12-23T12:21:41.378+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/0796cc37-96a7-4158-8a00-155962da275a","applyUrl":"https://jobs.ashbyhq.com/deepgram/0796cc37-96a7-4158-8a00-155962da275a/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Opportunity:
Deepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s internal data and ML training systems. You will design and implement secure, robust, and scalable services for data cataloging, querying, and access; efficient, distributed compute orchestration for ML training jobs; integrations with Research tooling, and more. Your skill at building highly reusable code that overcomes technical challenges will be paired with an intuition for what improves researcher productivity and model quality. You will be a critical voice in Deepgram’s Product, Data, and Engineering teams, driving high impact products from start to finish.
What You’ll Do
Improve Deepgram’s core data ingestion, cataloging, and transformation services including areas in networking, speech processing, audio transcoding, and latency and memory optimization
Engineer ML training code to be performant and highly extensible, rapidly enabling large-scale training of new foundational model architectures
Develop processes for measuring, building, and optimizing services to maximize system performance
Debug complex system issues that include networking, scheduling, database, and other persistence store interactions
Partner with DataOps and Research 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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nOpportunity:\n\nDeepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s internal data and ML training systems. You will design and implement secure, robust, and scalable services for data cataloging, querying, and access; efficient, distributed compute orchestration for ML training jobs; integrations with Research tooling, and more. Your skill at building highly reusable code that overcomes technical challenges will be paired with an intuition for what improves researcher productivity and model quality. You will be a critical voice in Deepgram’s Product, Data, and Engineering teams, driving high impact products from start to finish.\n\nWhat You’ll Do\n\n - Improve Deepgram’s core data ingestion, cataloging, and transformation services including areas in networking, speech processing, audio transcoding, and latency and memory optimization\n\n - Engineer ML training code to be performant and highly extensible, rapidly enabling large-scale training of new foundational model architectures\n\n - Develop processes for measuring, building, and optimizing services to maximize system performance\n\n - Debug complex system issues that include networking, scheduling, database, and other persistence store interactions\n\n - Partner with DataOps and Research to design and implement new services, features, and/or products end to end\n\nYou’ll Love This Role If You\n\n - Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity\n\n - Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work\n\nIt’s Important To Us That You Have\n\n - 3+ years of experience in an industry role\n\n - Programming experience in Rust (or C, C++), with competence in Python\n\n - Excellent communication and organizational skills, both written and verbal.\n\n - A high level of experience and understanding of version control; preferably git.\n\n - Comprehensive experience with UNIX-style systems.\n\nIt Would Be Great if You Had\n\n - Experience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformers\n\n - Experience with audio processing\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"68372d7d-b7a9-439e-a0a7-76690576aba4","title":"Software Engineer - Deepgram for Restaurants","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-01-13T00:37:50.284+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/68372d7d-b7a9-439e-a0a7-76690576aba4","applyUrl":"https://jobs.ashbyhq.com/deepgram/68372d7d-b7a9-439e-a0a7-76690576aba4/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
We are seeking a Software Engineer to join Deepgram for Restaurants- 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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY:\n\nWe are seeking a Software Engineer to join Deepgram for Restaurants- a new, vertically focused business unit dedicated to solving the toughest problems in the space, working alongside Deepgram’s core research teams.\n\nWe’ll be working directly with leading restaurant enterprises and leading restaurant technology partners to uncover and solve the highest-impact problems in the space. Early focus areas include:\n\n - Ultra-robust ASR in noisy, multi-mic environments\n\n - High-accuracy, menu-aware drive-thru and phone ordering agents\n\n - Real-time analytics and operational intelligence\n\n - Deeper, more reliable in-restaurant hardware integration\n\nWe are already partnering with several leading brands and will continue expanding these efforts\n\n\nWHAT YOU’LL DO\n\n - Design, develop, and maintain scalable, high-performance backend systems for our automated order-taking platform\n\n - Collaborate closely with our team to ensure the seamless integration of our backend with our ML models and client devices\n\n - Monitor and optimize the performance of our backend systems in production environments\n\n - Build and maintain integrations with 3rd party restaurant software systems like POS, loyalty, payment gateways, and customer data platforms\n\n - Implement best practices in system design, code quality, and testing to ensure a reliable, secure, and maintainable system\n\n - Optimize AI pipeline to improve performance in challenging audio environments, robustly handle ambiguous customer requests, and rapidly scale to new menus\n\n - Push the very boundaries of LLMs and voice AI technology to solve one of the technology industry’s historically elusive challenges\n\n - Run experiments to validate the product impact of new functionality\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Bachelor's or Master's degree in Computer Science, Engineering, or a related field\n\n - 4+ years of hands-on experience in developing, implementing, and maintaining backend infrastructure in production environments\n\n - Proven track record of building and deploying scalable, high-performance backend systems\n\n - Experience with cloud-based infrastructure and deployment technologies, such as AWS and API design\n\n - Excellent problem-solving skills and the ability to adapt to a rapidly evolving startup environment\n\n - Strong communication skills and the ability to work collaboratively with a team\n\n - Willingness to problem solve across our entire product\n\n - Ability to proactively recognize problems and identify solutions to those problems\n\n - Results oriented and care about the impact of your work\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience working with audio\n\n - Experience taking a backend system from zero to one\n\n - Experience building and maintaining a system that integrates with many 3rd party APIs, particularly Point of Sale systems\n\n - Experience with Python, Kotlin, or Java\n\n - Experience with containerization tools, such as Docker and Kubernetes\n\n - Experience working in or alongside AI / ML\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"790579d8-6474-42ca-9104-9a4bafcf13e9","title":"Staff Product Analyst","department":"Product","team":"Product","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-21T15:10:24.365+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/790579d8-6474-42ca-9104-9a4bafcf13e9","applyUrl":"https://jobs.ashbyhq.com/deepgram/790579d8-6474-42ca-9104-9a4bafcf13e9/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 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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nDeepgram 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.\n\nAs 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.\n\n\nWHAT YOU'LL DO\n\n - 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\n\n - Build robust, repeatable analytics pipelines and dashboards from the ground up using Superset and Heap Analytics\n\n - Partner directly with product managers and designers to define success metrics, establish baselines, and instrument products correctly\n\n - Design and analyze experiments across the developer journey, with deep understanding of API/SDK adoption patterns\n\n - 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\n\n - Surface patterns in product usage across our growing portfolio to identify high-value use cases, customer segments, and where to double down on investment\n\n - 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\n\n - Establish experimentation best practices and analytical rigor as the team scales PLG motions\n\n - Translate complex findings into clear, actionable recommendations that shape product roadmap and investment decisions\n\n - Build the analytics muscle for the team—creating frameworks and systems that enable PMs to self-serve insights while you focus on strategic analysis\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Have the seniority and leadership to define what \"good\" looks like for product analytics at Deepgram\n\n - Get energized by being the first—building systems from scratch and establishing foundational practices\n\n - Can balance deep analytical work with strategic pattern recognition across a multi-product portfolio\n\n - Have strong opinions on experimentation methodology and PLG measurement, backed by experience\n\n - Thrive in ambiguity and can define the right questions to ask, not just answer requests\n\n - Love partnering closely with product leadership to shape strategy in real-time\n\n - Bring natural customer empathy and curiosity, as well as openness to try new tools/AI workflows to maximize analytics efficiency\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Staff-level expertise in product analytics, with proven ability to lead analytics strategy (we care more about expertise and leadership than years of experience)\n\n - Demonstrated track record of accelerating self-serve or PLG growth at a previous company, particularly driving conversion in developer-focused products\n\n - Strong SQL skills and hands-on experience working directly with data warehouses\n\n - Proven ability to build dashboards and analytics infrastructure yourself—you don't need a data engineering team to be effective\n\n - Deep experience designing, running, and analyzing experiments with statistical rigor\n\n - Understanding of developer behavior and API/SDK adoption patterns—you know what signals matter for programmatic usage\n\n - Experience being the first or founding analyst on a team—comfortable building everything from scratch\n\n - Leadership presence to establish best practices and mentor PMs on data literacy\n\n - Excellent communication skills to translate technical findings into strategic recommendations for executives\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with Superset and Heap Analytics (or similar tools like Mixpanel, Amplitude, Looker, Mode)\n\n - Background in B2B SaaS with both self-serve and enterprise motions\n\n - Understanding of multi-product portfolio dynamics and how to measure cross-product patterns\n\n - Experience with usage-based pricing models or real-time streaming data products\n\n - Deep knowledge of product instrumentation and event tracking best practices\n\n - Expertise in advanced statistical methods beyond basic A/B testing (causal inference, cohort analysis, time-series analysis)\n\n - Experience working in voice AI, ML/AI platforms, or developer tools\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"4cc235e0-f195-4f44-84f3-c30e07c4a388","title":"Customer Success Engineer (Singapore)","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"Singapore","secondaryLocations":[],"publishedAt":"2026-01-27T16:03:52.806+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/deepgram/4cc235e0-f195-4f44-84f3-c30e07c4a388","applyUrl":"https://jobs.ashbyhq.com/deepgram/4cc235e0-f195-4f44-84f3-c30e07c4a388/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
At Deepgram, we make it easy to create inspiring voice experiences. Today, we offer the Deepgram Enterprise Runtime, which powers low-latency, high-quality, affordable Speech to Text, Text to Speech, Voice Intelligence and Voice Agent APIs. What’s next? We’re building the speech company.
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 Support 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 and technology partners, leading initiatives that drive joint adoption, enablement, and measurable business outcomes. You will own the lifecycle for assigned partners from onboarding and enablement through engagement, performance analysis, and expansion.
You will be pivotal in aligning partner strategies with Deepgram’s roadmap and strategy, ensuring both Deepgram and our partners 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, 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 L1-style issues, bridging the gap between technical support, 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 & 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 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!
It’s Important To Us That You Have
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 with 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, developer workflows, and troubleshoot basic L1-style support questions (no coding required, but must be fluent in technical conversations)
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 strong understanding of partner ecosystems, channel business models (resale, referral, integrations, co-marketing, co-selling), and multi-party commercial dynamics.
A background spanning solutions engineering, technical account management, or L1 support 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.
This job description incorporates the strategic focus, cross-functional partnership, and data-driven approach that define Deepgram’s go-to-market and customer-centric roles. If you’re passionate about helping partners and technology companies thrive together, and you love operating where innovation and relationship management intersect, we’d like to hear from you.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nNOTE: THIS IS A REMOTE ROLE THAT WILL BE BASED OUT OF SINGAPORE.\n\n\nTHE OPPORTUNITY\n\nAt Deepgram, we make it easy to create inspiring voice experiences https://playground.deepgram.com/?endpoint=agent&language=en&speakModel=aura-asteria-en&listenModel=nova-3&customWelcomeMessage=&llmProviderType=open_ai&llmModelName=gpt-4.1. Today, we offer the Deepgram Enterprise Runtime, which powers low-latency, high-quality, affordable Speech to Text, Text to Speech, Voice Intelligence and Voice Agent APIs. What’s next? We’re building the speech company.\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\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 Support 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 and technology partners, leading initiatives that drive joint adoption, enablement, and measurable business outcomes. You will own the lifecycle for assigned partners from onboarding and enablement through engagement, performance analysis, and expansion.\n\nYou will be pivotal in aligning partner strategies with Deepgram’s roadmap and strategy, ensuring both Deepgram and our partners achieve shared success.\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, 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 L1-style issues, bridging the gap between technical support, 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 & 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\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 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\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 with 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, developer workflows, and troubleshoot basic L1-style support questions (no coding required, but must be fluent in technical conversations)\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 - A strong understanding of partner ecosystems, channel business models (resale, referral, integrations, co-marketing, co-selling), and multi-party commercial dynamics.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - A background spanning solutions engineering, technical account management, or L1 support 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\nThis job description incorporates the strategic focus, cross-functional partnership, and data-driven approach that define Deepgram’s go-to-market and customer-centric roles. If you’re passionate about helping partners and technology companies thrive together, and you love operating where innovation and relationship management intersect, we’d like to hear from you.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"9a030b32-d671-43e0-a221-4653bb73ba29","title":"Research Engineer, Machine Learning Systems","department":"Research","team":"Research","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[{"location":"Ann Arbor, MI","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Ann Arbor, MI"}}},{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"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.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\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\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\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.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"3faa8232-6c6f-4b97-9b00-033175fa2285","title":"GTM Enablement Manager","department":"Sales","team":"Sales","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-02-05T20:28:59.491+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/3faa8232-6c6f-4b97-9b00-033175fa2285","applyUrl":"https://jobs.ashbyhq.com/deepgram/3faa8232-6c6f-4b97-9b00-033175fa2285/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is expanding our team, and we’re hiring our first GTM Enablement Manager. The GTM Enablement Manager is the force multiplier for our revenue organization. You will own how our GTM teams learn, ramp, and operate—leveraging AI tools, playbooks, and enablement systems to drive faster execution and better outcomes. This role sits at the intersection of Product, Sales, CS, and RevOps to ensure strategy becomes repeatable, scalable field performance.
This is not an externally facing content creation role. From onboarding and product mastery to competitive readiness and tool adoption. Your mission is to increase productivity, improve consistency, and scale performance across the entire go-to-market engine.
Own onboarding for all GTM roles (Sales, SDR, CSM, etc.), designing and continuously improving a structured ramp program that accelerates time-to-productivity and ensures consistent execution.
Build and run our continuous enablement engine, ensuring teams stay up-to-date on:
New product launches and features
Messaging and positioning updates
Competitive landscape and differentiation
Process, tooling, and playbook improvements
Maximize the value of our AI and productivity tools, partnering with RevOps and Leadership to:
Drive adoption of enablement, CRM, and AI tools
Improve workflows and seller efficiency
Standardize best practices and usage patterns across the org
Continuously evaluate AI and enablement tools that reduce friction in how we work
Build and run our ongoing enablement and certification programs, ensuring GTM teams stay current on product, messaging, competitive positioning, and core selling skills as the company evolves
Create and maintain the GTM knowledge system, including:
Playbooks, battlecards, talk tracks, and internal documentation
Role-based enablement paths and certifications
A single source of truth for how we sell and win
Lead enablement for major launches and initiatives, partnering with Product, Marketing, and Leadership to:
Translate product updates into sales-ready messaging and execution
Build training plans, materials, and reinforcement strategies
Translate strategy into field execution at scale
Measure and prove enablement impact, by:
Defining success metrics (ramp time, win rates, productivity, adoption, etc.)
Continuously iterating programs based on performance data and field feedback
Treating enablement as a business lever, not just a training function
Thrive on working with high-performing teams that consistently beat targets.
Are energized by developing customer-facing teams and building a culture of growth and continuous learning.
Believe in the power of AI to transform productivity, and are eager to harness cutting-edge tools to optimize performance.
Are passionate about Deepgram’s mission to redefine what’s possible with speech technology.
Value working with tenured, high-caliber leaders who prioritize clarity, accountability, collaboration and execution.
5+ years in enablement, sales ops, rev ops, or GTM leadership roles in B2B SaaS
Experience building enablement programs from scratch or in early-stage / high-growth environments, including onboarding, playbooks, and continuous learning systems with ongoing certifications.
Strong understanding of how modern revenue teams operate
Experience enabling product launches, messaging shifts, and competitive positioning
Strong cross-functional skills, with experience partnering closely with Sales, Product, Marketing, and RevOps to get things done without a lot of process or hierarchy.
Track record of driving measurable improvements in ramp time, productivity, or win rates
Experience supporting technical, AI, or developer-facing products
High comfort with GTM tooling and AI-powered workflows, including CRM, sales engagement tools, LLMs —and a bias toward driving real adoption, not just rolling out tools.
Comfort with light program management, including coordinating cross-functional launches and enablement initiatives.
Strong writing and narrative skills, especially for turning complex product or technical concepts into clear, usable field guidance.
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.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nOPPORTUNITY\n\nDeepgram is expanding our team, and we’re hiring our first GTM Enablement Manager. The GTM Enablement Manager is the force multiplier for our revenue organization. You will own how our GTM teams learn, ramp, and operate—leveraging AI tools, playbooks, and enablement systems to drive faster execution and better outcomes. This role sits at the intersection of Product, Sales, CS, and RevOps to ensure strategy becomes repeatable, scalable field performance.\n\nThis is not an externally facing content creation role. From onboarding and product mastery to competitive readiness and tool adoption. Your mission is to increase productivity, improve consistency, and scale performance across the entire go-to-market engine.\n\n\nWHAT YOU’LL DO\n\n - Own onboarding for all GTM roles (Sales, SDR, CSM, etc.), designing and continuously improving a structured ramp program that accelerates time-to-productivity and ensures consistent execution.\n\n - Build and run our continuous enablement engine, ensuring teams stay up-to-date on:\n \n - New product launches and features\n \n - Messaging and positioning updates\n \n - Competitive landscape and differentiation\n \n - Process, tooling, and playbook improvements\n\n - Maximize the value of our AI and productivity tools, partnering with RevOps and Leadership to:\n \n - Drive adoption of enablement, CRM, and AI tools\n \n - Improve workflows and seller efficiency\n \n - Standardize best practices and usage patterns across the org\n \n - Continuously evaluate AI and enablement tools that reduce friction in how we work\n\n - Build and run our ongoing enablement and certification programs, ensuring GTM teams stay current on product, messaging, competitive positioning, and core selling skills as the company evolves\n\n - Create and maintain the GTM knowledge system, including:\n \n - Playbooks, battlecards, talk tracks, and internal documentation\n \n - Role-based enablement paths and certifications\n \n - A single source of truth for how we sell and win\n\n - Lead enablement for major launches and initiatives, partnering with Product, Marketing, and Leadership to:\n \n - Translate product updates into sales-ready messaging and execution\n \n - Build training plans, materials, and reinforcement strategies\n \n - Translate strategy into field execution at scale\n\n - Measure and prove enablement impact, by:\n \n - Defining success metrics (ramp time, win rates, productivity, adoption, etc.)\n \n - Continuously iterating programs based on performance data and field feedback\n \n - Treating enablement as a business lever, not just a training function\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Thrive on working with high-performing teams that consistently beat targets.\n\n - Are energized by developing customer-facing teams and building a culture of growth and continuous learning.\n\n - Believe in the power of AI to transform productivity, and are eager to harness cutting-edge tools to optimize performance.\n\n - Are passionate about Deepgram’s mission to redefine what’s possible with speech technology.\n\n - Value working with tenured, high-caliber leaders who prioritize clarity, accountability, collaboration and execution.\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - 5+ years in enablement, sales ops, rev ops, or GTM leadership roles in B2B SaaS\n\n - Experience building enablement programs from scratch or in early-stage / high-growth environments, including onboarding, playbooks, and continuous learning systems with ongoing certifications.\n\n - Strong understanding of how modern revenue teams operate\n\n - Experience enabling product launches, messaging shifts, and competitive positioning\n\n - Strong cross-functional skills, with experience partnering closely with Sales, Product, Marketing, and RevOps to get things done without a lot of process or hierarchy.\n\n - Track record of driving measurable improvements in ramp time, productivity, or win rates\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience supporting technical, AI, or developer-facing products\n\n - High comfort with GTM tooling and AI-powered workflows, including CRM, sales engagement tools, LLMs —and a bias toward driving real adoption, not just rolling out tools.\n\n - Comfort with light program management, including coordinating cross-functional launches and enablement initiatives.\n\n - Strong writing and narrative skills, especially for turning complex product or technical concepts into clear, usable field guidance.\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\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"c69aab8a-e1d5-44ac-9113-12671a364015","title":"Forward Deployed Engineer, Deepgram for Restaurants","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-03-25T15:49:01.230+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/c69aab8a-e1d5-44ac-9113-12671a364015","applyUrl":"https://jobs.ashbyhq.com/deepgram/c69aab8a-e1d5-44ac-9113-12671a364015/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.
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 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 on a regular cadence. 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
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.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nOPPORTUNITY\n\nYou 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.\n\nYou 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.\n\nYou 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.\n\nThe 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.\n\n\nLOCATION\n\nThis 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 on a regular cadence. We believe a mix of in-person and remote work allows us to share context and build productively.\n\nThis role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions\n\n\nWHAT YOU’LL OWN:\n\n - Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers.\n\n - Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization.\n\n - Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between.\n\n - Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary.\n\n - Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers.\n\n - Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building.\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it.\n\n - You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product.\n\n - You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration.\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output.\n\n - Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof.\n\n - High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones.\n\n - Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with voice AI, speech-to-text, NLP, or conversational AI systems.\n\n - Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero.\n\n - Previous experience embedded within a large enterprise customer’s product deployment.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"0cad835e-c581-4735-8e8f-b9f1f7107b10","title":"Revenue Operations Analyst","department":"Sales","team":"Sales","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-28T15:26:13.511+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/0cad835e-c581-4735-8e8f-b9f1f7107b10","applyUrl":"https://jobs.ashbyhq.com/deepgram/0cad835e-c581-4735-8e8f-b9f1f7107b10/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 Revenue Operations Analyst to join our RevOps team at a rapidly scaling AI company. This is a hands-on role, focused on executing and improving the systems and processes that power our revenue engine.
You’ll support our go-to-market teams by ensuring accuracy across quoting, billing, usage tracking, and reporting—while proactively identifying ways to make operations more scalable over time.
Support Quote-to-Cash processes, including:
Supporting CPQ workflows to ensure deals are configured and quoted correctly
Reviewing order forms and amendments for accuracy and compliance
Provisioning customer contracts, subscriptions, and usage entitlements into internal systems
Support billing, invoicing, and monetization workflows in partnership with Finance
Reconcile customer usage, billing, and revenue data across CRM, product, and finance systems
Serve as a hands-on Salesforce administrator:
Build and maintain reports and dashboards
Support flows, automations, and system enhancements
Help maintain data quality and governance standards
Triage, prioritize, and execute a wide range of RevOps requests
Proactively identify inefficiencies and manual processes and help implement improvements
Leverage AI tools and automation to increase operational efficiency
Contribute to documentation and scalable RevOps processes as the company grows
3–4+ years of experience in Revenue Operations, GTM Engineering, Sales Operations, or a related role
Strong hands-on Salesforce experience (admin, reporting, flows, automations)
Incredible AI curiosity and capability, using tools like Cursor and Claude to optimize workflows and improve processes.
Experience at a hyper-growth SaaS or AI company.
Experience with CPQ (Salesforce CPQ or similar quoting tools).
Familiarity with contract generation tools (e.g.,DocuSign Gen).
Strong analytical and problem-solving skills with high attention to detail.
Comfort working in ambiguity at a fast-growing startup.
Strong cross-functional communication and stakeholder management skills.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY\n\nDeepgram is hiring a Revenue Operations Analyst to join our RevOps team at a rapidly scaling AI company. This is a hands-on role, focused on executing and improving the systems and processes that power our revenue engine.\n\nYou’ll support our go-to-market teams by ensuring accuracy across quoting, billing, usage tracking, and reporting—while proactively identifying ways to make operations more scalable over time.\n\n\nWHAT YOU'LL DO\n\n - Support Quote-to-Cash processes, including:\n \n - Supporting CPQ workflows to ensure deals are configured and quoted correctly\n \n - Reviewing order forms and amendments for accuracy and compliance\n \n - Provisioning customer contracts, subscriptions, and usage entitlements into internal systems\n\n - Support billing, invoicing, and monetization workflows in partnership with Finance\n\n - Reconcile customer usage, billing, and revenue data across CRM, product, and finance systems\n\n - Serve as a hands-on Salesforce administrator:\n \n - Build and maintain reports and dashboards\n \n - Support flows, automations, and system enhancements\n \n - Help maintain data quality and governance standards\n\n - Triage, prioritize, and execute a wide range of RevOps requests\n\n - Proactively identify inefficiencies and manual processes and help implement improvements\n\n - Leverage AI tools and automation to increase operational efficiency\n\n - Contribute to documentation and scalable RevOps processes as the company grows\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - 3–4+ years of experience in Revenue Operations, GTM Engineering, Sales Operations, or a related role\n\n - Strong hands-on Salesforce experience (admin, reporting, flows, automations)\n\n - Incredible AI curiosity and capability, using tools like Cursor and Claude to optimize workflows and improve processes.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience at a hyper-growth SaaS or AI company.\n\n - Experience with CPQ (Salesforce CPQ or similar quoting tools).\n\n - Familiarity with contract generation tools (e.g.,DocuSign Gen).\n\n - Strong analytical and problem-solving skills with high attention to detail.\n\n - Comfort working in ambiguity at a fast-growing startup.\n\n - Strong cross-functional communication and stakeholder management skills.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"1111c5de-2f90-4f38-a353-115a64a9ca33","title":"Model Evaluation QA Lead","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-02-09T16:28:57.002+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/1111c5de-2f90-4f38-a353-115a64a9ca33","applyUrl":"https://jobs.ashbyhq.com/deepgram/1111c5de-2f90-4f38-a353-115a64a9ca33/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.
As Model Evaluation QA Lead, you’ll be the technical owner of model quality assurance across Deepgram’s AI pipeline—from pre-training data validation and provenance through post-deployment monitoring. Reporting to the QA Engineering Manager, you will partner directly with our Active Learning and Data Ops teams to build and operate the evaluation infrastructure that ensures every model Deepgram ships meets objective quality bars across languages, domains, and deployment contexts.
This is a hands-on, high-impact role at the intersection of QA engineering and ML operations. You will design automated evaluation frameworks, integrate model quality gates into release pipelines, and drive industry-standard benchmarking—ensuring Deepgram maintains its position as the accuracy and latency leader in voice AI.
Model Evaluation Automation: Design, build, and maintain automated model evaluation pipelines that run against every candidate model before release. Implement objective and subjective quality metrics (WER, SER, MOS, latency/throughput) across STT, TTS, and STS product lines.
Release Gate Integration: Embed model quality checkpoints into CI/CD and release pipelines. Define pass/fail criteria, build dashboards for model comparison, and own the go/no-go signal for model promotions to production.
Agent & Model Evaluation Frameworks: Stand up and operate evaluation tooling (Coval, Braintrust, Blue Jay, custom harnesses) for end-to-end voice agent testing—covering accuracy, latency, turn-taking, and conversational quality and custom metrics across real-world scenarios.
Active Learning & Data Ingestion Testing: Partner with the Active Learning team to validate data ingestion infrastructure, annotation pipelines, and retraining automation. Ensure data quality standards are met at every stage of the flywheel.
Industry Benchmark Automation: Automate execution and reporting of industry-standard benchmarks (e.g., LibriSpeech, CommonVoice, internal production-traffic evals). Maintain reproducible benchmark environments and publish results for internal consumption.
Language & Domain Validation: Build and maintain test suites for multi-language and domain-specific model validation. Design coverage matrices that ensure new languages and acoustic domains are systematically evaluated before GA.
Retraining Automation Support: Validate the end-to-end retraining pipeline across all data sources—from data selection and preprocessing through training, evaluation, and promotion—ensuring automation reliability and correctness.
Manual Test Feedback Loop: Design and operate human-in-the-loop evaluation workflows for subjective quality assessment. Build the tooling and processes that translate human feedback into actionable quality signals for the ML team.
4–7 years of experience in QA engineering, ML evaluation, or a related technical role with a focus on predictive and generative model and data quality.
Hands-on experience building automated test/evaluation pipelines for ML models and connecting software features.
Strong programming skills in Python; experience with ML evaluation libraries, data processing frameworks (Pandas, NumPy), and scripting for pipeline automation.
Familiarity with speech/audio ML concepts: WER, SER, MOS, acoustic models, language models, or similar evaluation metrics.
Experience with CI/CD integration for ML workflows (e.g., GitHub Actions, Jenkins, Argo, MLflow, or equivalent).
Ability to design and maintain reproducible benchmark environments across multiple model versions and configurations.
Strong communication skills—you can translate model quality metrics into actionable insights for engineering, research, and product stakeholders.
Detail-oriented and systematic, with a bias toward automation over manual process.
Experience with model evaluation platforms (Coval, Braintrust, Weights & Biases, or custom evaluation harnesses).
Background in speech recognition, NLP, or audio processing domains.
Experience with distributed evaluation at scale—running evals across GPU clusters or large dataset partitions.
Familiarity with human-in-the-loop evaluation design and annotation pipeline tooling.
Experience with multi-language model evaluation and localization quality assurance.
Prior work in a company where ML model quality directly impacted revenue or customer SLAs.
Deepgram’s competitive advantage is built on model quality—accuracy, latency, and reliability across languages and domains. As Model Evaluation QA Lead, you’ll be the person who ensures that advantage is measured, maintained, and continuously improved. You’ll build the evaluation infrastructure that gives our Research and Active Learning teams the confidence to ship faster while raising the quality bar with every release. This role directly protects customer trust and accelerates Deepgram’s ability to lead the voice AI market.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY\n\nAs Model Evaluation QA Lead, you’ll be the technical owner of model quality assurance across Deepgram’s AI pipeline—from pre-training data validation and provenance through post-deployment monitoring. Reporting to the QA Engineering Manager, you will partner directly with our Active Learning and Data Ops teams to build and operate the evaluation infrastructure that ensures every model Deepgram ships meets objective quality bars across languages, domains, and deployment contexts.\n\nThis is a hands-on, high-impact role at the intersection of QA engineering and ML operations. You will design automated evaluation frameworks, integrate model quality gates into release pipelines, and drive industry-standard benchmarking—ensuring Deepgram maintains its position as the accuracy and latency leader in voice AI.\n\n\nWHAT YOU’LL DO\n\n - Model Evaluation Automation: Design, build, and maintain automated model evaluation pipelines that run against every candidate model before release. Implement objective and subjective quality metrics (WER, SER, MOS, latency/throughput) across STT, TTS, and STS product lines.\n\n - Release Gate Integration: Embed model quality checkpoints into CI/CD and release pipelines. Define pass/fail criteria, build dashboards for model comparison, and own the go/no-go signal for model promotions to production.\n\n - Agent & Model Evaluation Frameworks: Stand up and operate evaluation tooling (Coval, Braintrust, Blue Jay, custom harnesses) for end-to-end voice agent testing—covering accuracy, latency, turn-taking, and conversational quality and custom metrics across real-world scenarios.\n\n - Active Learning & Data Ingestion Testing: Partner with the Active Learning team to validate data ingestion infrastructure, annotation pipelines, and retraining automation. Ensure data quality standards are met at every stage of the flywheel.\n\n - Industry Benchmark Automation: Automate execution and reporting of industry-standard benchmarks (e.g., LibriSpeech, CommonVoice, internal production-traffic evals). Maintain reproducible benchmark environments and publish results for internal consumption.\n\n - Language & Domain Validation: Build and maintain test suites for multi-language and domain-specific model validation. Design coverage matrices that ensure new languages and acoustic domains are systematically evaluated before GA.\n\n - Retraining Automation Support: Validate the end-to-end retraining pipeline across all data sources—from data selection and preprocessing through training, evaluation, and promotion—ensuring automation reliability and correctness.\n\n - Manual Test Feedback Loop: Design and operate human-in-the-loop evaluation workflows for subjective quality assessment. Build the tooling and processes that translate human feedback into actionable quality signals for the ML team.\n \n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - 4–7 years of experience in QA engineering, ML evaluation, or a related technical role with a focus on predictive and generative model and data quality.\n\n - Hands-on experience building automated test/evaluation pipelines for ML models and connecting software features.\n\n - Strong programming skills in Python; experience with ML evaluation libraries, data processing frameworks (Pandas, NumPy), and scripting for pipeline automation.\n\n - Familiarity with speech/audio ML concepts: WER, SER, MOS, acoustic models, language models, or similar evaluation metrics.\n\n - Experience with CI/CD integration for ML workflows (e.g., GitHub Actions, Jenkins, Argo, MLflow, or equivalent).\n\n - Ability to design and maintain reproducible benchmark environments across multiple model versions and configurations.\n\n - Strong communication skills—you can translate model quality metrics into actionable insights for engineering, research, and product stakeholders.\n\n - Detail-oriented and systematic, with a bias toward automation over manual process.\n \n\n\nIT’D BE NICE IF YOU HAVE\n\n - Experience with model evaluation platforms (Coval, Braintrust, Weights & Biases, or custom evaluation harnesses).\n\n - Background in speech recognition, NLP, or audio processing domains.\n\n - Experience with distributed evaluation at scale—running evals across GPU clusters or large dataset partitions.\n\n - Familiarity with human-in-the-loop evaluation design and annotation pipeline tooling.\n\n - Experience with multi-language model evaluation and localization quality assurance.\n\n - Prior work in a company where ML model quality directly impacted revenue or customer SLAs.\n\n\nWHY THIS ROLE MATTERS\n\nDeepgram’s competitive advantage is built on model quality—accuracy, latency, and reliability across languages and domains. As Model Evaluation QA Lead, you’ll be the person who ensures that advantage is measured, maintained, and continuously improved. You’ll build the evaluation infrastructure that gives our Research and Active Learning teams the confidence to ship faster while raising the quality bar with every release. This role directly protects customer trust and accelerates Deepgram’s ability to lead the voice AI market.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"f424ef6a-c27f-4984-9e77-40a1ad16ae28","title":"Site Reliability Engineer - AI & ML Infrastructure (Kubernetes, AWS & Terraform)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-03-09T19:43:40.635+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 Site Reliability 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.
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.
Strong scripting and automation skills (e.g., Python, Go, Bash).
It Would Be Great if You Had
Experience with CI/CD systems (e.g., GitLab CI, Jenkins, ArgoCD) and building developer tooling.
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.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nOpportunity:\n\nWe're looking for an experienced Site Reliability 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.\n\nWhat You’ll Do\n\n - Architect and maintain our core computing platform using Kubernetes on AWS and on-premise, providing a stable, scalable environment for all applications and services.\n\n - Develop and manage our entire infrastructure using Infrastructure-as-Code (IaC) principles with Terraform, ensuring our environments are reproducible, versioned, and automated.\n\n - Design, build, and optimize our AI/ML job scheduling and orchestration systems, integrating Slurm with our Kubernetes clusters to efficiently manage GPU resources.\n\n - Provision, manage, and maintain our on-premise bare metal server infrastructure for high-performance GPU computing.\n\n - 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.\n\n - Develop a comprehensive observability stack (monitoring, logging, tracing) to ensure platform health, and create automation for operational tasks, incident response, and performance tuning.\n\n - Collaborate with AI researchers and ML engineers to understand their infrastructure needs and build the tools and workflows that accelerate their development cycle.\n\n - Automate the life cycle of single-tenant, managed deployments\n\nYou’ll Love This Role If You\n\n - Are passionate about building platforms that empower developers and researchers.\n\n - Enjoy creating elegant, automated solutions for complex infrastructure challenges in both cloud and data center environments.\n\n - Thrive on optimizing hybrid infrastructure for performance, cost, and reliability.\n\n - Are excited to work at the intersection of modern platform engineering and cutting-edge AI.\n\n - Love to treat infrastructure as a product, continuously improving the developer experience.\n\nIt’s Important To Us That You Have\n\n - 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).\n\n - Proven, hands-on experience building and managing production infrastructure with Terraform.\n\n - Expert-level knowledge of Kubernetes architecture and operations in a large-scale environment.\n\n - Experience with high-performance compute (HPC) job schedulers, specifically Slurm, for managing GPU-intensive AI workloads.\n\n - Experience managing bare metal infrastructure, including server provisioning (e.g., PXE boot, MAAS), configuration, and lifecycle management.\n\n - Strong scripting and automation skills (e.g., Python, Go, Bash).\n\n\n\nIt Would Be Great if You Had\n\n - Experience with CI/CD systems (e.g., GitLab CI, Jenkins, ArgoCD) and building developer tooling.\n\n - Familiarity with FinOps principles and cloud cost optimization strategies.\n\n - Knowledge of Kubernetes networking (e.g., Calico, Cilium) and storage (e.g., Ceph, Rook) solutions.\n\n - Experience in a multi-region or hybrid cloud environment.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"7c7064bb-2bf0-4f64-81cc-14afe79a15c1","title":"Backend Software Engineer - Engine Team (Voice Agent)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-02-18T20:51:56.568+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/7c7064bb-2bf0-4f64-81cc-14afe79a15c1","applyUrl":"https://jobs.ashbyhq.com/deepgram/7c7064bb-2bf0-4f64-81cc-14afe79a15c1/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Opportunity
Deepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s Voice Agent product. You will design and implement secure, robust, and scalable services for speech processing; build integrations supporting telephony providers, RAG systems, and diverse deployment scenarios; engineer for testability and observability within a complex chain of AI models; and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish.
What You’ll Do
Improve Deepgram’s core inference services including areas in networking, speech processing, model orchestration, and observability
Develop integrations with cutting edge in-house, third-party, and open-source AI models for perception and managing conversational dynamics
Debug complex system issues that include networking, scheduling, and highly concurrent workloads
Rapidly customize backend services to support our customer needs
Partner with Product to design and implement new services, features, and/or products end to end
You’ll Love This Role If You
Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity
Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work
It’s Important To Us That You Have
3+ years of experience in an industry role
Programming experience in Rust (or C, C++), with competence in Python
Excellent communication and organizational skills, both written and verbal.
A high level of experience and understanding of version control; preferably git.
Comprehensive experience with UNIX-style systems.
It Would Be Great If You Had
Experience with low-latency, multi-model orchestration for AI-enabled applications
Experience with audio processing
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nOpportunity\n\nDeepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s Voice Agent product. You will design and implement secure, robust, and scalable services for speech processing; build integrations supporting telephony providers, RAG systems, and diverse deployment scenarios; engineer for testability and observability within a complex chain of AI models; and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish.\n\nWhat You’ll Do\n\n - Improve Deepgram’s core inference services including areas in networking, speech processing, model orchestration, and observability\n\n - Develop integrations with cutting edge in-house, third-party, and open-source AI models for perception and managing conversational dynamics\n\n - Debug complex system issues that include networking, scheduling, and highly concurrent workloads\n\n - Rapidly customize backend services to support our customer needs\n\n - Partner with Product to design and implement new services, features, and/or products end to end\n\nYou’ll Love This Role If You\n\n - Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity\n\n - Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work\n\nIt’s Important To Us That You Have\n\n - 3+ years of experience in an industry role\n\n - Programming experience in Rust (or C, C++), with competence in Python\n\n - Excellent communication and organizational skills, both written and verbal.\n\n - A high level of experience and understanding of version control; preferably git.\n\n - Comprehensive experience with UNIX-style systems.\n\nIt Would Be Great If You Had\n\n - Experience with low-latency, multi-model orchestration for AI-enabled applications\n\n - Experience with audio processing\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"acbcca8d-fa91-493d-aae2-67fd045eb010","title":"Head of Decision Intelligence","department":"G&A","team":"G&A","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-24T18:28:04.552+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/acbcca8d-fa91-493d-aae2-67fd045eb010","applyUrl":"https://jobs.ashbyhq.com/deepgram/acbcca8d-fa91-493d-aae2-67fd045eb010/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is the foundational AI company for voice, building the models that allow machines to hear, understand, and speak to humans with zero latency. As we scale, the complexity of our usage-based economy grows — and so does the opportunity to make every decision at Deepgram faster, sharper, and more informed.
We are not looking for a traditional \"BI Leader.\" We are looking for a technical founder-type who treats data as a product and agents as the primary interface. Your mission: build the Intelligence Layer — a system of autonomous agents that monitor, reason, and act on our data to drive NRR and operational excellence.
This is a high-leverage, player-coach role. You'll spend your first months as a \"Doer,\" directly building AI-augmented analytical workflows and critical models, while simultaneously hiring a small, elite team. You'll work at the intersection of Product, Sales, and Finance to ensure leadership has 20/20 vision into our NRR, unit economics, and growth loops.
AI-Augmented Intelligence: In close partnership with functional leaders, architect and deploy agent-assisted intelligence systems that move beyond static dashboards. Build workflows that proactively reason across silos (e.g., correlating API latency with churn signals in Salesforce) to surface automated root-cause analysis and actionable recommendations.
Infrastructure Evolution: In close partnership with our Tech/Engineering team, co-evolve our data stack. Define the semantic layer and data contracts required to make our infrastructure agent-ready and highly reliable.
Unlock Audio Intelligence: Leverage Deepgram's own Voice AI models to ingest and structure thousands of hours of internal calls, turning unstructured audio into queryable insights for all functional teams.
Strategic Leadership: Act as the primary data partner to the CEO and Board. Define the \"source of truth\" for our complex, usage-based revenue models and provide the analytical backbone for long-term strategy — from pricing, packaging, and distribution to market entry and capital allocation.
Team Building: Recruit and lead a lean, elite team of AI-native engineers. Set a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents.
You want to build the \"brain\" of a unicorn-stage AI company from the ground up
You're energized by ambiguity and moving fast with imperfect infrastructure
You believe dashboards are a stepping stone — agents and automated reasoning are the destination
You want direct access to the Founder/CEO and Board, where your work shapes company strategy
You're excited by a problem nobody else in the world can offer: unlocking intelligence from proprietary Voice AI models
7+ years in data/analytics roles, with 2+ years leading teams at high-growth technology companies
Expert-level proficiency in SQL and Python — equally comfortable in a Hex notebook or dbt model as in a boardroom presentation
Experience building agentic systems that can navigate a data warehouse autonomously — not just using LLMs to write SQL, but understanding where human judgment still matters
A founder's mindset: comfortable with \"work-in-progress\" infrastructure, pragmatic enough to deliver high-value insights today while iteratively improving the foundation
Deep experience with usage-based SaaS metrics: consumption patterns, gross margin per million tokens/hours, and NRR
A track record of leading teams where data infrastructure was evolving alongside the business — and you still enjoy getting your hands dirty in code
Prior experience as a Data Engineer or Software Engineer
Contributions to open-source data or AI projects
Experience with real-time billing and consumption systems
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nOPPORTUNITY:\n\nDeepgram is the foundational AI company for voice, building the models that allow machines to hear, understand, and speak to humans with zero latency. As we scale, the complexity of our usage-based economy grows — and so does the opportunity to make every decision at Deepgram faster, sharper, and more informed.\n\nWe are not looking for a traditional \"BI Leader.\" We are looking for a technical founder-type who treats data as a product and agents as the primary interface. Your mission: build the Intelligence Layer — a system of autonomous agents that monitor, reason, and act on our data to drive NRR and operational excellence.\n\nThis is a high-leverage, player-coach role. You'll spend your first months as a \"Doer,\" directly building AI-augmented analytical workflows and critical models, while simultaneously hiring a small, elite team. You'll work at the intersection of Product, Sales, and Finance to ensure leadership has 20/20 vision into our NRR, unit economics, and growth loops.\n\n\nWHAT YOU'LL DO\n\n - AI-Augmented Intelligence: In close partnership with functional leaders, architect and deploy agent-assisted intelligence systems that move beyond static dashboards. Build workflows that proactively reason across silos (e.g., correlating API latency with churn signals in Salesforce) to surface automated root-cause analysis and actionable recommendations.\n\n - Infrastructure Evolution: In close partnership with our Tech/Engineering team, co-evolve our data stack. Define the semantic layer and data contracts required to make our infrastructure agent-ready and highly reliable.\n\n - Unlock Audio Intelligence: Leverage Deepgram's own Voice AI models to ingest and structure thousands of hours of internal calls, turning unstructured audio into queryable insights for all functional teams.\n\n - Strategic Leadership: Act as the primary data partner to the CEO and Board. Define the \"source of truth\" for our complex, usage-based revenue models and provide the analytical backbone for long-term strategy — from pricing, packaging, and distribution to market entry and capital allocation.\n\n - Team Building: Recruit and lead a lean, elite team of AI-native engineers. Set a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents.\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - You want to build the \"brain\" of a unicorn-stage AI company from the ground up\n\n - You're energized by ambiguity and moving fast with imperfect infrastructure\n\n - You believe dashboards are a stepping stone — agents and automated reasoning are the destination\n\n - You want direct access to the Founder/CEO and Board, where your work shapes company strategy\n\n - You're excited by a problem nobody else in the world can offer: unlocking intelligence from proprietary Voice AI models\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 7+ years in data/analytics roles, with 2+ years leading teams at high-growth technology companies\n\n - Expert-level proficiency in SQL and Python — equally comfortable in a Hex notebook or dbt model as in a boardroom presentation\n\n - Experience building agentic systems that can navigate a data warehouse autonomously — not just using LLMs to write SQL, but understanding where human judgment still matters\n\n - A founder's mindset: comfortable with \"work-in-progress\" infrastructure, pragmatic enough to deliver high-value insights today while iteratively improving the foundation\n\n - Deep experience with usage-based SaaS metrics: consumption patterns, gross margin per million tokens/hours, and NRR\n\n - A track record of leading teams where data infrastructure was evolving alongside the business — and you still enjoy getting your hands dirty in code\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Prior experience as a Data Engineer or Software Engineer\n\n - Contributions to open-source data or AI projects\n\n - Experience with real-time billing and consumption systems\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"4a873ede-8555-42ae-9ddc-ac89afdd7278","title":"Software Engineer, Voice Agents / AI - Deepgram for Restaurants","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-02-26T22:04:27.918+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/4a873ede-8555-42ae-9ddc-ac89afdd7278","applyUrl":"https://jobs.ashbyhq.com/deepgram/4a873ede-8555-42ae-9ddc-ac89afdd7278/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
We are seeking a Software Engineer to join Deepgram for Restaurants- 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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY:\n\nWe are seeking a Software Engineer to join Deepgram for Restaurants- a new, vertically focused business unit dedicated to solving the toughest problems in the space, working alongside Deepgram’s core research teams.\n\nWe’ll be working directly with leading restaurant enterprises and leading restaurant technology partners to uncover and solve the highest-impact problems in the space. Early focus areas include:\n\n - Ultra-robust ASR in noisy, multi-mic environments\n\n - High-accuracy, menu-aware drive-thru and phone ordering agents\n\n - Real-time analytics and operational intelligence\n\n - Deeper, more reliable in-restaurant hardware integration\n\nWe are already partnering with several leading brands and will continue expanding these efforts\n\n\nWHAT YOU’LL DO\n\n - Design, develop, and maintain scalable, high-performance backend systems for our automated order-taking platform\n\n - Collaborate closely with our team to ensure the seamless integration of our backend with our ML models and client devices\n\n - Monitor and optimize the performance of our backend systems in production environments\n\n - Build and maintain integrations with 3rd party restaurant software systems like POS, loyalty, payment gateways, and customer data platforms\n\n - Implement best practices in system design, code quality, and testing to ensure a reliable, secure, and maintainable system\n\n - Optimize AI pipeline to improve performance in challenging audio environments, robustly handle ambiguous customer requests, and rapidly scale to new menus\n\n - Push the very boundaries of LLMs and voice AI technology to solve one of the technology industry’s historically elusive challenges\n\n - Run experiments to validate the product impact of new functionality\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Bachelor's or Master's degree in Computer Science, Engineering, or a related field\n\n - 4+ years of hands-on experience in developing, implementing, and maintaining backend infrastructure in production environments\n\n - Proven track record of building and deploying scalable, high-performance backend systems\n\n - Experience with cloud-based infrastructure and deployment technologies, such as AWS and API design\n\n - Excellent problem-solving skills and the ability to adapt to a rapidly evolving startup environment\n\n - Strong communication skills and the ability to work collaboratively with a team\n\n - Willingness to problem solve across our entire product\n\n - Ability to proactively recognize problems and identify solutions to those problems\n\n - Results oriented and care about the impact of your work\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience working with audio\n\n - Experience taking a backend system from zero to one\n\n - Experience building and maintaining a system that integrates with many 3rd party APIs, particularly Point of Sale systems\n\n - Experience with Python, Kotlin, or Java\n\n - Experience with containerization tools, such as Docker and Kubernetes\n\n - Experience working in or alongside AI / ML\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"1424ec2d-f427-4cd1-8283-21c17afc5573","title":"External Event Producer - San Francisco Office","department":"G&A","team":"G&A","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-02-28T00:09:52.600+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/1424ec2d-f427-4cd1-8283-21c17afc5573","applyUrl":"https://jobs.ashbyhq.com/deepgram/1424ec2d-f427-4cd1-8283-21c17afc5573/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is building a new San Francisco presence centered around a purpose-built space for high-quality, in-person engagement with developers, customers, partners, and the broader voice AI community.
This is not a traditional office. The SF space is designed primarily as an event-led environment: a place for hands-on labs, technical showcases, workshops, research talks, recruiting events, and curated gatherings. Our goal is to make Deepgram feel meaningfully present in SF through a repeatable cadence of experiences that are technically credible, thoughtfully hosted, and consistently well-executed.
We’re hiring an Event Producer / Events Manager to be the operational backbone of that program. You will own the execution and day-to-day readiness of the venue, translating event concepts and goals (defined in partnership with DevRel, Product, Research, and Marketing) into seamless, high-quality events. This role is central to how Deepgram shows up in person — and ideal for someone who thrives on operational excellence, anticipates needs before they arise, and takes pride in making complex events feel effortless.
Location: While Deepgram is remote-first, this role requires frequent on-site presence in our San Francisco office.
Own the operational execution of Deepgram’s San Francisco event program, ensuring events are delivered reliably, professionally, and at a consistently high standard.
Translate defined event goals, formats, and content direction into well-run, on-time experiences, including hackathons, technical workshops, research talks, recruiting events, and executive sessions.
Serve as the day-to-day operator of the SF event space, ensuring the venue is consistently event-ready and can support multiple formats (presentations, labs, demos, showcases).
Build and manage event timelines, run-of-show documents, and production plans that allow complex events to run smoothly and predictably.
Coordinate all event logistics, including venue setup and teardown, AV and recording, catering, signage, speaker logistics, and attendee experience.
Act as the single-threaded owner during execution, making real-time decisions on event days and handling contingencies calmly and effectively.
Partner closely with Developer Relations, Engineering, Research, Product, and Marketing to operationalize event concepts, support technical programming, and ensure speakers and content are set up for success.
Manage relationships with external vendors and production partners, balancing high production quality with disciplined spend.
Create repeatable operational playbooks and processes so events can scale without reinventing logistics each time.
Support a small number of flagship or executive-facing moments (e.g., summits, research previews, board-adjacent events) as needed.
Run post-event operational retrospectives and incorporate learnings to continuously improve execution quality and reliability.
Content Coordination and Readiness
Event content at Deepgram is developed by our technical and product teams — including Developer Relations, Engineering, Research, Product, and invited external speakers.
In this role, you will not be expected to author technical content, build demos, or create workshops yourself. Instead, you will be responsible for program-managing content readiness: coordinating with content owners to ensure speakers are confirmed, materials are scoped appropriately, timelines are clear, and content is ready to be delivered in a live setting.
You will work with content owners to translate ideas into runnable events — helping ensure sessions are feasible, well-timed, and properly supported — while keeping execution and delivery on track.
7–10+ years of experience producing and operating live events, experiences, or programs, ideally in technology, startups, or adjacent ecosystems.
Demonstrated success running complex, multi-stakeholder events end-to-end, including logistics, AV, vendors, speakers, and on-site execution.
Experience working closely with technical teams, executives, or subject-matter experts to support credible, content-rich events (without necessarily owning content creation yourself).
Comfortable operating in environments where events support broader outcomes (learning, relationships, momentum), while ownership of those outcomes lives with partner teams
Strong project management and operational instincts; able to translate defined goals and event concepts into clear execution plans and reliably delivered outcomes.
Confident, polished presence when hosting external audiences, partners, and senior leaders.
Thrives in fast-moving, ambiguous environments where priorities evolve and execution quality matters.
Prior experience supporting developer, research, or technical communities through events or programs.
Familiarity with startup or high-growth company environments.
Experience in developing educational or marketing content.
A strong metrics or analytics focus and a desire to quantifiably tie events to business outcomes.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nABOUT THIS ROLE\n\nDeepgram is building a new San Francisco presence centered around a purpose-built space for high-quality, in-person engagement with developers, customers, partners, and the broader voice AI community.\n\nThis is not a traditional office. The SF space is designed primarily as an event-led environment: a place for hands-on labs, technical showcases, workshops, research talks, recruiting events, and curated gatherings. Our goal is to make Deepgram feel meaningfully present in SF through a repeatable cadence of experiences that are technically credible, thoughtfully hosted, and consistently well-executed.\n\nWe’re hiring an Event Producer / Events Manager to be the operational backbone of that program. You will own the execution and day-to-day readiness of the venue, translating event concepts and goals (defined in partnership with DevRel, Product, Research, and Marketing) into seamless, high-quality events. This role is central to how Deepgram shows up in person — and ideal for someone who thrives on operational excellence, anticipates needs before they arise, and takes pride in making complex events feel effortless.\n\nLocation: While Deepgram is remote-first, this role requires frequent on-site presence in our San Francisco office.\n\n\nWHAT YOU’LL DO\n\n - Own the operational execution of Deepgram’s San Francisco event program, ensuring events are delivered reliably, professionally, and at a consistently high standard.\n\n - Translate defined event goals, formats, and content direction into well-run, on-time experiences, including hackathons, technical workshops, research talks, recruiting events, and executive sessions.\n\n - Serve as the day-to-day operator of the SF event space, ensuring the venue is consistently event-ready and can support multiple formats (presentations, labs, demos, showcases).\n\n - Build and manage event timelines, run-of-show documents, and production plans that allow complex events to run smoothly and predictably.\n\n - Coordinate all event logistics, including venue setup and teardown, AV and recording, catering, signage, speaker logistics, and attendee experience.\n\n - Act as the single-threaded owner during execution, making real-time decisions on event days and handling contingencies calmly and effectively.\n\n - Partner closely with Developer Relations, Engineering, Research, Product, and Marketing to operationalize event concepts, support technical programming, and ensure speakers and content are set up for success.\n\n - Manage relationships with external vendors and production partners, balancing high production quality with disciplined spend.\n\n - Create repeatable operational playbooks and processes so events can scale without reinventing logistics each time.\n\n - Support a small number of flagship or executive-facing moments (e.g., summits, research previews, board-adjacent events) as needed.\n\n - Run post-event operational retrospectives and incorporate learnings to continuously improve execution quality and reliability.\n\nContent Coordination and Readiness\n\nEvent content at Deepgram is developed by our technical and product teams — including Developer Relations, Engineering, Research, Product, and invited external speakers.\n\nIn this role, you will not be expected to author technical content, build demos, or create workshops yourself. Instead, you will be responsible for program-managing content readiness: coordinating with content owners to ensure speakers are confirmed, materials are scoped appropriately, timelines are clear, and content is ready to be delivered in a live setting.\n\nYou will work with content owners to translate ideas into runnable events — helping ensure sessions are feasible, well-timed, and properly supported — while keeping execution and delivery on track.\n\n\nWHO YOU ARE / EXPERIENCE WE’RE LOOKING FOR\n\n - 7–10+ years of experience producing and operating live events, experiences, or programs, ideally in technology, startups, or adjacent ecosystems.\n\n - Demonstrated success running complex, multi-stakeholder events end-to-end, including logistics, AV, vendors, speakers, and on-site execution.\n\n - Experience working closely with technical teams, executives, or subject-matter experts to support credible, content-rich events (without necessarily owning content creation yourself).\n\n - Comfortable operating in environments where events support broader outcomes (learning, relationships, momentum), while ownership of those outcomes lives with partner teams\n\n - Strong project management and operational instincts; able to translate defined goals and event concepts into clear execution plans and reliably delivered outcomes.\n\n - Confident, polished presence when hosting external audiences, partners, and senior leaders.\n\n - Thrives in fast-moving, ambiguous environments where priorities evolve and execution quality matters.\n\n\nIT WOULD BE GREAT IF YOU HAD…\n\n - Prior experience supporting developer, research, or technical communities through events or programs.\n\n - Familiarity with startup or high-growth company environments.\n\n - Experience in developing educational or marketing content.\n\n - A strong metrics or analytics focus and a desire to quantifiably tie events to business outcomes.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"2fc57802-1d2d-4796-aaea-e00586dc6792","title":"Senior Forward-Deployed Engineer, Federal","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Washington D.C.","secondaryLocations":[],"publishedAt":"2026-03-06T17:44:04.903+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":"Washington D.C."}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/2fc57802-1d2d-4796-aaea-e00586dc6792","applyUrl":"https://jobs.ashbyhq.com/deepgram/2fc57802-1d2d-4796-aaea-e00586dc6792/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is seeking a Senior 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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nOPPORTUNITY\n\nDeepgram 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.\n\n\nYou will own the full technical lifecycle of federal engagements, from initial discovery and proof-of-concept through production deployment and ongoing optimization. You'll map customer problems, structure delivery, and ship solutions fast. This includes scoping, sequencing, and building full-stack integrations that create measurable mission impact while driving clarity across internal and external teams. Along the way, you'll identify reusable patterns, codify best practices, and share field signals that influence Deepgram's product roadmap.\n\n\nAs a member of the Applied Engineering team, you'll serve as the trusted technical thought partner for federal stakeholders, guiding adoption, maximizing operational value, and ensuring successful deployments at scale. While your engagements will primarily involve federal customers, you'll remain a core part of the broader Applied Engineering team and may contribute to commercial engagements where your expertise is valuable.\n\n\nNOTE: THIS ROLE IS BASED REMOTELY OUT OF THE WASHINGTON D.C. METROPOLITAN AREA.\n\n\nABOUT APPLIED ENGINEERING AT DEEPGRAM\n\nThe Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Sales Engineering, Solutions Architecture, Implementation, Forward-Deployed Engineering, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Relations (DevRel) teams to ensure a positive, growth-focused experience for our customers, as well as with Product and Engineering teams to deliver solutions that meet customer needs. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers.\n\nAs a Senior Applied Engineer operating in the FDE role for federal engagements, you'll work with a high degree of autonomy in customer environments that often have unique infrastructure constraints, compliance requirements, and security considerations. Your work will directly shape how federal agencies leverage Voice AI to achieve their missions.\n\n\nWHAT YOU'LL DO\n\n - Own technical delivery across federal deployments, from first prototype to stable production\n\n - Embed deeply with federal customers to design and build mission-critical applications powered by Deepgram's Voice AI models\n\n - Lead technical discovery and solution design for federal prospects and customers, partnering with Account Executives to navigate complex government sales and procurement cycles\n\n - Prototype and build full-stack integrations using Python, JavaScript, Rust, or comparable stacks that deliver real mission impact\n\n - Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications\n\n - Proactively guide federal stakeholders on maximizing operational value from Deepgram's platform, including performance optimization and deployment strategies\n\n - Scope work, sequence delivery, and remove blockers early, making deliberate trade-offs between scope, speed, and quality\n\n - Build and manage relationships with customer leadership and technical stakeholders to ensure successful deployment and scale\n\n - Contribute directly to code when clarity or momentum depends on it\n\n - Codify working patterns into tools, playbooks, reference architectures, and building blocks the broader team can use\n\n - Share field feedback with Product and Engineering to influence model and product development\n\n - Serve as an escalation point for complex technical issues in federal deployments\n\n - Analyze deployment patterns to identify product improvement opportunities and inform Deepgram's federal go-to-market strategy\n\n\nTIME ALLOCATION\n\n - 40% — Embedded customer delivery: deployments, integrations, and technical problem-solving at federal customer sites and facilities\n\n - 25% — Pre-sales technical engagement: discovery, demos, proof-of-concepts, and proposal support\n\n - 20% — Building reusable solutions, automation, documentation, and reference architectures\n\n - 15% — Internal collaboration: product feedback, knowledge sharing, and contributing to Applied Engineering strategy\n\n\nYOUR FIRST 90 DAYS\n\nFirst 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Gain proficiency with our core APIs and documentation. Shadow active customer engagements across both commercial and federal accounts to build familiarity with how the Applied Engineering team operates, the deployment patterns we use, and the specific requirements of government environments.\n\n60 Days: Begin taking ownership of federal customer engagements, leading technical discovery and developing proof-of-concepts for government prospects. Start contributing to federal-specific technical content, reference architectures, and deployment guides. Participate in sales strategy sessions and provide technical insights on active federal deals.\n\n90 Days: Own the full technical relationship with assigned federal accounts. Develop and deliver complex solutions addressing specific mission challenges. Establish patterns for repeatable federal deployments and begin contributing to the team's federal go-to-market methodology.\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Thrive in high-ambiguity, mission-driven environments where you need to move fast and make sound decisions under pressure\n\n - Are passionate about translating complex technical capabilities into real operational value for government missions\n\n - Enjoy embedding deeply with customers, building trust, and becoming their go-to technical partner\n\n - Find satisfaction in shipping production systems that make a tangible difference\n\n - Are energized by the challenge of deploying cutting-edge Voice AI in complex, constrained environments\n\n - See yourself as an engineer first who happens to be great with customers, not the other way around\n\n - Can ruthlessly prioritize across multiple projects and operate with high autonomy\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Active Top Secret/SCI (TS/SCI) security clearance, or equivalent\n\n - 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments\n\n - Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript, or similar\n\n - Proven ability to scope and deliver complex systems in fast-moving or ambiguous contexts\n\n - Experience building and deploying production systems in government or similarly constrained environments\n\n - Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders, including senior government leadership\n\n - Track record of navigating complex sales or procurement cycles in the federal space\n\n - Willingness to travel up to 50%, including on-site work at government facilities\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies\n\n - Familiarity with cloud deployment models (AWS GovCloud, Azure Government, etc.), Kubernetes, Terraform, and related infrastructure\n\n - Experience building or deploying systems powered by LLMs or generative models, with an understanding of how model behavior affects product experience\n\n - Knowledge of FedRAMP, FISMA, or other government compliance frameworks\n\n - Experience with API-first products and developer tools\n\n - Background in sales methodologies such as MEDDIC or Solution Selling, particularly in government contexts\n\n - Experience developing automation solutions, self-service tools, and technical documentation for customer enablement\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"98150e77-5458-4382-9575-ac3a3ab1e205","title":"EMEA Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"EMEA | Remote","secondaryLocations":[],"publishedAt":"2026-03-10T17:58:08.933+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United Kingdom"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/98150e77-5458-4382-9575-ac3a3ab1e205","applyUrl":"https://jobs.ashbyhq.com/deepgram/98150e77-5458-4382-9575-ac3a3ab1e205/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Based in an EMEA time zone with strong overlap to customer business hours.
Excellent written and spoken English. Additional European languages are a strong plus.
Deepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!
Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings
Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness
Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers
Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing
Value having leadership that has tenure and a track record of success
Thrive working with A Players as cross-functional partners across GTM
Understand the importance of selling a product that is market validated and can deliver on its technical promise
Believe there should be no cap to upside and want control of account up-sell potential
Are passionate about what Deepgram is building and how we are changing what is possible with speech
Proven experience in a technical full-cycle sales role
Experience building your own pipeline from scratch and closing accounts
Consistent overachievement against sales targets in past experiences
Strong written and verbal communication skills
Empathy and a unique ability to understand customer needs
Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time
Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.
It Would Be Great If You Had
Familiarity with Challenger or Triangle sales methodology
Experience selling to a technical audience in a similar space
Experience selling developer tools, infrastructure, or AI/ML technologies.
Fluency in German, French, Dutch, or other major regional languages.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nNOTE: THIS ROLE IS BASED OUT OF THE EMEA TERRITORY.\n\n\nREGIONAL EXPECTATIONS\n\n - Based in an EMEA time zone with strong overlap to customer business hours.\n\n - Excellent written and spoken English. Additional European languages are a strong plus.\n\n\nOPPORTUNITY\n\nDeepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!\n\n\nWHAT YOU'LL DO\n\n - Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers\n\n - Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Believe there should be no cap to upside and want control of account up-sell potential\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Proven experience in a technical full-cycle sales role\n\n - Experience building your own pipeline from scratch and closing accounts\n\n - Consistent overachievement against sales targets in past experiences\n\n - Strong written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time\n\n - Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.\n\n - It Would Be Great If You Had\n\n - Familiarity with Challenger or Triangle sales methodology\n\n - Experience selling to a technical audience in a similar space\n\n - Experience selling developer tools, infrastructure, or AI/ML technologies.\n\n - Fluency in German, French, Dutch, or other major regional languages.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"6ab5816d-bbe1-4383-bb53-675e9f641528","title":"Solutions Engineer, Enterprise","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-03-11T15:06:03.272+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/6ab5816d-bbe1-4383-bb53-675e9f641528","applyUrl":"https://jobs.ashbyhq.com/deepgram/6ab5816d-bbe1-4383-bb53-675e9f641528/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.
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 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 on a regular cadence. 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
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.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nOPPORTUNITY\n\nYou 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.\n\nYou 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.\n\nYou 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.\n\nThe 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.\n\n\nLOCATION\n\nThis 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 on a regular cadence. We believe a mix of in-person and remote work allows us to share context and build productively.\n\nThis role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions\n\n\nWHAT YOU’LL OWN:\n\n - Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers.\n\n - Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization.\n\n - Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between.\n\n - Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary.\n\n - Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers.\n\n - Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building.\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it.\n\n - You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product.\n\n - You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration.\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output.\n\n - Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof.\n\n - High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones.\n\n - Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with voice AI, speech-to-text, NLP, or conversational AI systems.\n\n - Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero.\n\n - Previous experience embedded within a large enterprise customer’s product deployment.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"e998a02c-ea23-460a-8475-1e6982fcdcc5","title":"VP, Self-Serve","department":"Product","team":"Product","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"USA | Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}}}],"publishedAt":"2026-03-15T19:08:19.779+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/e998a02c-ea23-460a-8475-1e6982fcdcc5","applyUrl":"https://jobs.ashbyhq.com/deepgram/e998a02c-ea23-460a-8475-1e6982fcdcc5/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 Vice President of Self-Serve to lead our product-led growth motion as we scale from a single-product API company to a multi-product voice AI platform serving 200,000+ developers. This role operates as a General Manager for our self-serve business, with full ownership of revenue growth, conversion to enterprise, and the end-to-end user experience from first touch through monetization.
In this role, you'll build and lead the systems, teams, and cross-functional partnerships required to turn strong inbound demand into sustainable, scalable growth. You'll own ambitious targets—including multiplying self-serve revenue and converting self-serve logos into enterprise contracts—while establishing Deepgram's PLG infrastructure as a competitive advantage in the rapidly evolving voice AI market.
This is a high-impact leadership role requiring equal parts strategic vision and hands-on execution. You'll work across Marketing, Product, Sales, Engineering, and Data to align teams around shared metrics, eliminate friction across the funnel, and build a culture of experimentation and rapid iteration right for the AI age.
This role reports to the SVP of Product.
Revenue & Business Outcomes
Own and deliver growth in self-serve revenue, contributing significantly to Deepgram's ARR targets
Drive conversion rate of self-serve-led logos into enterprise contracts, working closely with Sales leadership
Define, track, and optimize the full-funnel metrics that matter—from acquisition through activation, engagement, monetization, and expansion
Establish quarterly and annual targets for self-serve growth and hold cross-functional teams accountable to shared KPIs
PLG Strategy & Execution
Develop and execute a comprehensive PLG strategy across Deepgram's three product lines (STT, TTS, Voice Agents), each with distinct ICPs
Design and optimize user journeys from website → signup → activation → usage → monetization, eliminating friction at each stage
Build a high-velocity experimentation engine connecting hypothesis generation, execution, measurement, and learning
Translate insights from data, user research, and market trends into actionable growth initiatives
Team Leadership & Development
Build and lead the Self-Serve team, currently including a Senior Growth Product Manager and Product Analyst function, with plans to scale
Lead and expand the Product Analyst function, ensuring analytics capabilities support both self-serve initiatives and broader company needs
Provide strategic direction, coaching, and mentorship to develop world-class PLG and analytics talent
Foster a culture of data-driven decision making, customer empathy, and rapid iteration
Partner with VP of Product on broader product strategy and organizational development
Cross-Functional Leadership
Serve as the primary driver of alignment across Marketing, Product, Sales, Engineering, and Data teams for self-serve initiatives
Lead regular cross-functional meetings, OKR planning, and strategic reviews with executive leadership
Build trust and collaboration across departments, ensuring self-serve is treated as a shared company priority
Influence roadmaps and resource allocation across teams to support PLG objectives
Analytics & Infrastructure
Establish robust product analytics infrastructure unified across the entire user journey
Lead the Product Analyst function to ensure proper instrumentation, tracking, and reporting for all self-serve touchpoints and company-wide product analytics needs
Build dashboards and reporting systems that provide real-time visibility into funnel health and experiment performance
Drive adoption of analytics best practices across Product and Growth teams
Ensure analytics capabilities scale to support both tactical experimentation and strategic decision-making
Customer & Market Insights
Maintain deep understanding of developer personas, workflows, and decision-making processes across Deepgram's ICPs
Conduct and synthesize user research, competitive analysis, and market intelligence to inform strategy
Ensure voice of customer is embedded in every aspect of self-serve experience design
Stay current on PLG best practices and emerging trends in developer-focused B2B SaaS
Required Experience & Skills
8+ years of experience in product management, growth, or related roles with at least 3+ years in leadership positions
Proven track record of driving PLG growth in B2B SaaS, ideally in developer-focused or API-first products
Deep expertise across the full PLG funnel—from acquisition and activation through monetization and expansion
Strong analytical capabilities including SQL, experimentation design, and statistical analysis
Experience building and leading analytics teams or functions, with ability to define analytics strategy and infrastructure
Experience building and leading high-performing teams, with demonstrated ability to coach and develop talent
Track record of successful cross-functional leadership and executive stakeholder management
Comfort operating in high-growth, rapidly changing environments with ambiguous problems
Technical & Domain Expertise
Experience with products serving highly technical personas (developers, data scientists, engineers)
Understanding of API products, developer tools, and technical documentation
Familiarity with modern PLG tools and infrastructure (analytics platforms, experimentation frameworks, activation flows)
Strong command of product analytics platforms, data warehousing, and business intelligence tools
Ability to bridge business strategy and technical execution, translating between technical and non-technical stakeholders
Knowledge of SaaS pricing models, especially usage-based and credit-based approaches
Leadership Qualities
Strategic thinker who can also roll up sleeves and execute hands-on when needed
Data-driven decision maker who balances quantitative insights with qualitative customer understanding
Strong communicator who can influence without authority and build consensus across diverse stakeholders
Bias toward action and experimentation with comfort in ambiguity and rapid iteration
Natural curiosity and learning orientation; stays current on industry trends and best practices
High integrity and ownership mentality—treats company goals as personal commitments
Deepgram is at an inflection point. We've built industry-leading voice AI technology serving hundreds of thousands of developers and hundreds of enterprise customers. Now we're evolving from a single-product transcription company to a comprehensive real-time voice AI platform—and our self-serve motion is critical to capturing this market opportunity.
In this role, you'll have the autonomy, resources, and executive support to build something transformative. You'll work with cutting-edge AI technology, world-class engineering talent, and a leadership team committed to making PLG a strategic differentiator. Most importantly, you'll have the opportunity to shape how developers and companies around the world interact with voice AI technology.
If you're excited by the challenge of building scalable growth engines, leading cross-functional teams toward ambitious targets, and operating at the intersection of product, data, and go-to-market strategy—we'd love to hear from you.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nABOUT THE ROLE\n\nDeepgram is seeking a Vice President of Self-Serve to lead our product-led growth motion as we scale from a single-product API company to a multi-product voice AI platform serving 200,000+ developers. This role operates as a General Manager for our self-serve business, with full ownership of revenue growth, conversion to enterprise, and the end-to-end user experience from first touch through monetization.\n\nIn this role, you'll build and lead the systems, teams, and cross-functional partnerships required to turn strong inbound demand into sustainable, scalable growth. You'll own ambitious targets—including multiplying self-serve revenue and converting self-serve logos into enterprise contracts—while establishing Deepgram's PLG infrastructure as a competitive advantage in the rapidly evolving voice AI market.\n\nThis is a high-impact leadership role requiring equal parts strategic vision and hands-on execution. You'll work across Marketing, Product, Sales, Engineering, and Data to align teams around shared metrics, eliminate friction across the funnel, and build a culture of experimentation and rapid iteration right for the AI age.\n\nThis role reports to the SVP of Product.\n\n\nWHAT YOU'LL OWN\n\nRevenue & Business Outcomes\n\n - Own and deliver growth in self-serve revenue, contributing significantly to Deepgram's ARR targets\n\n - Drive conversion rate of self-serve-led logos into enterprise contracts, working closely with Sales leadership\n\n - Define, track, and optimize the full-funnel metrics that matter—from acquisition through activation, engagement, monetization, and expansion\n\n - Establish quarterly and annual targets for self-serve growth and hold cross-functional teams accountable to shared KPIs\n\nPLG Strategy & Execution\n\n - Develop and execute a comprehensive PLG strategy across Deepgram's three product lines (STT, TTS, Voice Agents), each with distinct ICPs\n\n - Design and optimize user journeys from website → signup → activation → usage → monetization, eliminating friction at each stage\n\n - Build a high-velocity experimentation engine connecting hypothesis generation, execution, measurement, and learning\n\n - Translate insights from data, user research, and market trends into actionable growth initiatives\n\nTeam Leadership & Development\n\n - Build and lead the Self-Serve team, currently including a Senior Growth Product Manager and Product Analyst function, with plans to scale\n\n - Lead and expand the Product Analyst function, ensuring analytics capabilities support both self-serve initiatives and broader company needs\n\n - Provide strategic direction, coaching, and mentorship to develop world-class PLG and analytics talent\n\n - Foster a culture of data-driven decision making, customer empathy, and rapid iteration\n\n - Partner with VP of Product on broader product strategy and organizational development\n\nCross-Functional Leadership\n\n - Serve as the primary driver of alignment across Marketing, Product, Sales, Engineering, and Data teams for self-serve initiatives\n\n - Lead regular cross-functional meetings, OKR planning, and strategic reviews with executive leadership\n\n - Build trust and collaboration across departments, ensuring self-serve is treated as a shared company priority\n\n - Influence roadmaps and resource allocation across teams to support PLG objectives\n\nAnalytics & Infrastructure\n\n - Establish robust product analytics infrastructure unified across the entire user journey\n\n - Lead the Product Analyst function to ensure proper instrumentation, tracking, and reporting for all self-serve touchpoints and company-wide product analytics needs\n\n - Build dashboards and reporting systems that provide real-time visibility into funnel health and experiment performance\n\n - Drive adoption of analytics best practices across Product and Growth teams\n\n - Ensure analytics capabilities scale to support both tactical experimentation and strategic decision-making\n\nCustomer & Market Insights\n\n - Maintain deep understanding of developer personas, workflows, and decision-making processes across Deepgram's ICPs\n\n - Conduct and synthesize user research, competitive analysis, and market intelligence to inform strategy\n\n - Ensure voice of customer is embedded in every aspect of self-serve experience design\n\n - Stay current on PLG best practices and emerging trends in developer-focused B2B SaaS\n\n\nWHAT WE'RE LOOKING FOR\n\nRequired Experience & Skills\n\n - 8+ years of experience in product management, growth, or related roles with at least 3+ years in leadership positions\n\n - Proven track record of driving PLG growth in B2B SaaS, ideally in developer-focused or API-first products\n\n - Deep expertise across the full PLG funnel—from acquisition and activation through monetization and expansion\n\n - Strong analytical capabilities including SQL, experimentation design, and statistical analysis\n\n - Experience building and leading analytics teams or functions, with ability to define analytics strategy and infrastructure\n\n - Experience building and leading high-performing teams, with demonstrated ability to coach and develop talent\n\n - Track record of successful cross-functional leadership and executive stakeholder management\n\n - Comfort operating in high-growth, rapidly changing environments with ambiguous problems\n\nTechnical & Domain Expertise\n\n - Experience with products serving highly technical personas (developers, data scientists, engineers)\n\n - Understanding of API products, developer tools, and technical documentation\n\n - Familiarity with modern PLG tools and infrastructure (analytics platforms, experimentation frameworks, activation flows)\n\n - Strong command of product analytics platforms, data warehousing, and business intelligence tools\n\n - Ability to bridge business strategy and technical execution, translating between technical and non-technical stakeholders\n\n - Knowledge of SaaS pricing models, especially usage-based and credit-based approaches\n\nLeadership Qualities\n\n - Strategic thinker who can also roll up sleeves and execute hands-on when needed\n\n - Data-driven decision maker who balances quantitative insights with qualitative customer understanding\n\n - Strong communicator who can influence without authority and build consensus across diverse stakeholders\n\n - Bias toward action and experimentation with comfort in ambiguity and rapid iteration\n\n - Natural curiosity and learning orientation; stays current on industry trends and best practices\n\n - High integrity and ownership mentality—treats company goals as personal commitments\n\n\nWHY DEEPGRAM\n\nDeepgram is at an inflection point. We've built industry-leading voice AI technology serving hundreds of thousands of developers and hundreds of enterprise customers. Now we're evolving from a single-product transcription company to a comprehensive real-time voice AI platform—and our self-serve motion is critical to capturing this market opportunity.\n\nIn this role, you'll have the autonomy, resources, and executive support to build something transformative. You'll work with cutting-edge AI technology, world-class engineering talent, and a leadership team committed to making PLG a strategic differentiator. Most importantly, you'll have the opportunity to shape how developers and companies around the world interact with voice AI technology.\n\nIf you're excited by the challenge of building scalable growth engines, leading cross-functional teams toward ambitious targets, and operating at the intersection of product, data, and go-to-market strategy—we'd love to hear from you.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"5805bd61-f9f1-43b6-9bb7-55986f251924","title":"Product Marketing Manager, Customer Marketing","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-03-18T00:49:14.271+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/5805bd61-f9f1-43b6-9bb7-55986f251924","applyUrl":"https://jobs.ashbyhq.com/deepgram/5805bd61-f9f1-43b6-9bb7-55986f251924/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 Product Marketing Manager, Customer Marketing to build and own our customer storytelling and advocacy engine.
You’ll sit within Product Marketing and partner closely with Sales, Customer Success, Product, RevOps, BD, and Partner Marketing to turn real customer outcomes into high-impact proof points that drive pipeline, win rates, and expansion.
This role is both builder and operator: you’ll create the systems, processes, and programs that make it easy to source customer stories, activate advocates, and deliver assets that Sales and CS actually use.
Build and run the end-to-end pipeline: source customers, conduct interviews, write case studies, manage approvals, and publish assets
Organize content by industry, use case, and persona so Sales and partners can easily find and use it
Recruit and manage a pool of referenceable customers in partnership with Sales and CS
Create a simple system for AEs/AMs to quickly find and activate the right reference
Track utilization and influence on deals
Design scalable, low-lift programs with CS and Marketing Ops to increase review volume and quality
Balance growth with strong customer experience
Develop onboarding guides, adoption playbooks, product updates, and newsletters
Partner with Product, CS, and Growth to drive adoption, usage, and expansion
Coordinate quotes, approvals, and customer participation across launches, events, and partner campaigns
Work closely with BD and Partner Marketing to amplify customer stories
Track key metrics:
Case study production and usage
Reference program utilization
Deal influence
Review growth and quality
Share insights with Sales, CS, and leadership to continuously improve programs
Have built or scaled customer marketing / advocacy programs and can show real outputs
Think of customer storytelling as a revenue driver, not just brand marketing
Proactively source stories and know how to partner with Sales and CS to find the right advocates
Are highly organized and enjoy building lightweight systems, trackers, and processes
Are a strong interviewer who can turn short conversations into compelling, credible stories
Enjoy working cross-functionally and aligning multiple stakeholders
Are excited about AI, developer tools, or technical products
3–5 years of experience in customer marketing, advocacy, or related roles in B2B SaaS
Proven experience producing case studies end-to-end (sourcing → interview → writing → approvals → publication)
Experience building and managing a customer advocacy pipeline in partnership with Sales/CS
Strong writing skills with the ability to adapt for different audiences (enterprise, technical, business)
Solid project management skills; able to run multiple programs simultaneously
Experience creating content that Sales and CS teams actively use
Note: You’ll be asked to share a portfolio of relevant work (case studies, campaigns, or enablement content).
Experience in AI/ML, developer tools, API-first products, or voice/speech technology
Background supporting sales enablement with customer proof (e.g., vertical stories, battlecards)
Familiarity with tools like Salesforce, HubSpot, G2
Experience with video testimonials, webinars, or customer co-marketing
Experience in high-growth startups building programs from scratch
This is a high-impact, highly visible role that sits at the intersection of Product, Sales, and Customer Success.
You’ll define how Deepgram:
Tells its customer story
Proves value in-market
Activates customers as a growth lever
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nPRODUCT MARKETING MANAGER, CUSTOMER MARKETING\n\n\n\n\nDeepgram is looking for a Product Marketing Manager, Customer Marketing to build and own our customer storytelling and advocacy engine.\n\nYou’ll sit within Product Marketing and partner closely with Sales, Customer Success, Product, RevOps, BD, and Partner Marketing to turn real customer outcomes into high-impact proof points that drive pipeline, win rates, and expansion.\n\nThis role is both builder and operator: you’ll create the systems, processes, and programs that make it easy to source customer stories, activate advocates, and deliver assets that Sales and CS actually use.\n\n\nWHAT YOU’LL DO\n\n\nOWN THE CUSTOMER STORYTELLING ENGINE\n\n - Build and run the end-to-end pipeline: source customers, conduct interviews, write case studies, manage approvals, and publish assets\n\n - Organize content by industry, use case, and persona so Sales and partners can easily find and use it\n\n\nBUILD AND SCALE THE CUSTOMER REFERENCE PROGRAM\n\n - Recruit and manage a pool of referenceable customers in partnership with Sales and CS\n\n - Create a simple system for AEs/AMs to quickly find and activate the right reference\n\n - Track utilization and influence on deals\n\n\nDRIVE THIRD-PARTY REVIEWS (G2, GARTNER PEER INSIGHTS)\n\n - Design scalable, low-lift programs with CS and Marketing Ops to increase review volume and quality\n\n - Balance growth with strong customer experience\n\n\nCREATE CUSTOMER-FACING ENABLEMENT CONTENT\n\n - Develop onboarding guides, adoption playbooks, product updates, and newsletters\n\n - Partner with Product, CS, and Growth to drive adoption, usage, and expansion\n\n\nSUPPORT “POWERED BY DEEPGRAM” AND CO-MARKETING EFFORTS\n\n - Coordinate quotes, approvals, and customer participation across launches, events, and partner campaigns\n\n - Work closely with BD and Partner Marketing to amplify customer stories\n\n\nMEASURE AND IMPROVE IMPACT\n\n - Track key metrics:\n \n - Case study production and usage\n \n - Reference program utilization\n \n - Deal influence\n \n - Review growth and quality\n\n - Share insights with Sales, CS, and leadership to continuously improve programs\n\n\nYOU’LL THRIVE IN THIS ROLE IF YOU\n\n - Have built or scaled customer marketing / advocacy programs and can show real outputs\n\n - Think of customer storytelling as a revenue driver, not just brand marketing\n\n - Proactively source stories and know how to partner with Sales and CS to find the right advocates\n\n - Are highly organized and enjoy building lightweight systems, trackers, and processes\n\n - Are a strong interviewer who can turn short conversations into compelling, credible stories\n\n - Enjoy working cross-functionally and aligning multiple stakeholders\n\n - Are excited about AI, developer tools, or technical products\n\n\nWHAT WE’RE LOOKING FOR\n\n\nMUST-HAVES\n\n - 3–5 years of experience in customer marketing, advocacy, or related roles in B2B SaaS\n\n - Proven experience producing case studies end-to-end (sourcing → interview → writing → approvals → publication)\n\n - Experience building and managing a customer advocacy pipeline in partnership with Sales/CS\n\n - Strong writing skills with the ability to adapt for different audiences (enterprise, technical, business)\n\n - Solid project management skills; able to run multiple programs simultaneously\n\n - Experience creating content that Sales and CS teams actively use\n\nNote: You’ll be asked to share a portfolio of relevant work (case studies, campaigns, or enablement content).\n\n\nNICE TO HAVE\n\n - Experience in AI/ML, developer tools, API-first products, or voice/speech technology\n\n - Background supporting sales enablement with customer proof (e.g., vertical stories, battlecards)\n\n - Familiarity with tools like Salesforce, HubSpot, G2\n\n - Experience with video testimonials, webinars, or customer co-marketing\n\n - Experience in high-growth startups building programs from scratch\n\n\nWHY THIS ROLE MATTERS\n\nThis is a high-impact, highly visible role that sits at the intersection of Product, Sales, and Customer Success.\n\nYou’ll define how Deepgram:\n\n - Tells its customer story\n\n - Proves value in-market\n\n - Activates customers as a growth lever\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"5e26347c-f7c6-412c-93c8-2b162d546cc1","title":"Senior Developer Advocate, Partner Ecosystem","department":"Engineering","team":"Developer Relations","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-06T18:16:45.221+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/5e26347c-f7c6-412c-93c8-2b162d546cc1","applyUrl":"https://jobs.ashbyhq.com/deepgram/5e26347c-f7c6-412c-93c8-2b162d546cc1/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is the leading 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 Developer Advocate focused on our Partner Ecosystem, you are the technical bridge between Deepgram and the platforms our developers build with every day — Pipecat, Livekit, AWS, and others as the ecosystem grows.
Your mission is to ensure developers who discover Deepgram through a partner ecosystem have an excellent experience: working integrations, clear documentation, visible community presence, and a fast path to production. You do this by shipping high-fidelity integration recipes, maintaining deep relationships with partner engineering and DevRel teams, and systematically auditing the developer journey across each partner stack. You are a \"First Builder\" who thrives on solving the complex challenges that arise when integrating real-time voice AI into partner platforms, and a compelling storyteller who turns that work into content that moves developers from \"is this possible?\" to \"this is in production.\"
Ship Partner Integration Recipes: Architect and open-source complete, runnable examples that demonstrate Deepgram within partner stacks like Pipecat, Livekit, and AWS. Each recipe includes working code, a guide written for that partner's developers, and coordination to get it referenced in partner docs.
Audit & Map the Partner DX: Walk each partner integration as a developer would — discovery, docs, setup, first API call. Document every friction point. Produce gap analyses that categorize what's working, what's broken or stale, and what's missing. Use these to drive prioritization.
Own Partner Relationships: Build and maintain ongoing relationships with partner engineering and DevRel teams. Establish regular check-in cadences, understand their roadmaps, and negotiate co-documentation and joint content opportunities.
Be the \"Zero-Index\" Sensor for Partners: Act as the first customer for every partner integration. When something's broken, confusing, or missing — you find it first and route it to the right internal team, whether that's Product, Engineering, or Docs.
Synthesize Cross-Functional Intel: Gather signals from Field Engineering, GTM, Product, and partner contacts. Maintain living partner context docs that capture relationship status, workstreams, commitments, gaps, and next steps.
Show Up in Partner Communities: Be a known, helpful presence in partner community spaces (Discord, Slack, forums). Answer Deepgram-related questions, share your work, and listen — this is your primary signal source.
Code-First Content: Produce deep-dives, video walkthroughs, and \"build-in-public\" documentation that showcases how to orchestrate Deepgram with partner platforms, frameworks, and real-time protocols.
Raise the Bar for Partner Work: Document repeatable playbooks for partner engagement so the team can scale this work beyond one person. Mentor teammates on partner integration patterns and cross-ecosystem thinking.
Frame Impact Around Developer Outcomes: Track partner integration health through Activation → Adoption. Connect your work to measurable results, incl. trial conversions from partner channels, integration completion rates, etc.
Strategic Travel & Outreach: Spend ~25% of your time leading workshops, co-presenting at partner events (e.g., partner conferences, co-hosted meetups), and speaking at AI conferences to build in-person relationships across ecosystems
Experience: 3-5 years of experience in Software Engineering or Developer Relations.
Tech Stack: Solid foundation in JavaScript, Python, .NET, or Go tech stacks. You are comfortable working across the full stack from building APIs to creating simple, clean frontends to showcase your work.
AI-First Mindset: You use AI tools in your daily workflow — for coding, content, research, automation. You're not just building AI demos; you're building with AI.
Partner & Ecosystem Thinking: Experience working across organizational boundaries — coordinating with external teams, navigating shared roadmaps, and earning trust with developers who aren't \"your\" audience first.
Educator Mindset: A portfolio of technical writing, blog posts, or video content that demonstrates your ability to make complex topics simple.
Community Engagement: Experience participating in or managing developer communities. You know how to engage with empathy and technical accuracy.
Technical Communicator: Ability to simplify complex AI orchestration through clear writing, documentation, and high-quality code samples.
Location: Remote-friendly. Ability to collaborate across global time zones is essential.
Partner DevRel Experience: You've been the bridge between two developer ecosystems before - in a partner-facing advocacy or solutions engineering role.
Deep AI Stack Proficiency: Hands-on experience with the broader \"AI Agent\" stack, including LLM orchestration frameworks (LangChain, LlamaIndex), Vector Databases (Pinecone, Weaviate), and RAG architecture.
Media & Real-time Protocols: Experience working with WebSockets, WebRTC, or gRPC. If you understand how audio bytes move across the wire in real-time, you are a top-tier candidate.
Engineering Influence: A history of collaborating directly with Product and Engineering teams to shape an API roadmap based on developer friction.
Industry Recognition: A digital presence which could include a popular technical YouTube or Twitch channel, a widely-read developer newsletter, or a history of speaking at Tier-1 conferences (e.g., re:Invent, Google I/O, SIGNAL).
Open Source Leadership: Experience as a maintainer or major contributor to a well-known open-source project, with a focus on community governance and developer onboarding.
Automation Mindset: You don't just build demos; you build the \"Engine.\" Experience with AI-assisted coding tools or building custom CLI utilities to automate your own advocacy workflow.
Deepgram wins when developers go from \"is this possible?\" to \"this is in production\" with zero friction. Developers are looking for opinionated, reliable patterns that combine our voice AI models with the platforms they already use. As a Senior Developer Advocate supporting our Partner Ecosystem, you're the person who makes sure those patterns exist, work, and are easy to find, and that the partner relationships behind them are strong enough to sustain real ecosystem growth.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\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\nABOUT THE ROLE\n\nAs a Senior Developer Advocate focused on our Partner Ecosystem, you are the technical bridge between Deepgram and the platforms our developers build with every day — Pipecat, Livekit, AWS, and others as the ecosystem grows.\n\nYour mission is to ensure developers who discover Deepgram through a partner ecosystem have an excellent experience: working integrations, clear documentation, visible community presence, and a fast path to production. You do this by shipping high-fidelity integration recipes, maintaining deep relationships with partner engineering and DevRel teams, and systematically auditing the developer journey across each partner stack. You are a \"First Builder\" who thrives on solving the complex challenges that arise when integrating real-time voice AI into partner platforms, and a compelling storyteller who turns that work into content that moves developers from \"is this possible?\" to \"this is in production.\"\n\n\nWHAT YOU’LL DO\n\n - Ship Partner Integration Recipes: Architect and open-source complete, runnable examples that demonstrate Deepgram within partner stacks like Pipecat, Livekit, and AWS. Each recipe includes working code, a guide written for that partner's developers, and coordination to get it referenced in partner docs.\n\n - Audit & Map the Partner DX: Walk each partner integration as a developer would — discovery, docs, setup, first API call. Document every friction point. Produce gap analyses that categorize what's working, what's broken or stale, and what's missing. Use these to drive prioritization.\n\n - Own Partner Relationships: Build and maintain ongoing relationships with partner engineering and DevRel teams. Establish regular check-in cadences, understand their roadmaps, and negotiate co-documentation and joint content opportunities.\n\n - Be the \"Zero-Index\" Sensor for Partners: Act as the first customer for every partner integration. When something's broken, confusing, or missing — you find it first and route it to the right internal team, whether that's Product, Engineering, or Docs.\n\n - Synthesize Cross-Functional Intel: Gather signals from Field Engineering, GTM, Product, and partner contacts. Maintain living partner context docs that capture relationship status, workstreams, commitments, gaps, and next steps.\n\n - Show Up in Partner Communities: Be a known, helpful presence in partner community spaces (Discord, Slack, forums). Answer Deepgram-related questions, share your work, and listen — this is your primary signal source.\n\n - Code-First Content: Produce deep-dives, video walkthroughs, and \"build-in-public\" documentation that showcases how to orchestrate Deepgram with partner platforms, frameworks, and real-time protocols.\n\n - Raise the Bar for Partner Work: Document repeatable playbooks for partner engagement so the team can scale this work beyond one person. Mentor teammates on partner integration patterns and cross-ecosystem thinking.\n\n - Frame Impact Around Developer Outcomes: Track partner integration health through Activation → Adoption. Connect your work to measurable results, incl. trial conversions from partner channels, integration completion rates, etc.\n\n - Strategic Travel & Outreach: Spend ~25% of your time leading workshops, co-presenting at partner events (e.g., partner conferences, co-hosted meetups), and speaking at AI conferences to build in-person relationships across ecosystems\n\n\nWHAT WE’RE LOOKING FOR\n\n - Experience: 3-5 years of experience in Software Engineering or Developer Relations.\n\n - Tech Stack: Solid foundation in JavaScript, Python, .NET, or Go tech stacks. You are comfortable working across the full stack from building APIs to creating simple, clean frontends to showcase your work.\n\n - AI-First Mindset: You use AI tools in your daily workflow — for coding, content, research, automation. You're not just building AI demos; you're building with AI.\n\n - Partner & Ecosystem Thinking: Experience working across organizational boundaries — coordinating with external teams, navigating shared roadmaps, and earning trust with developers who aren't \"your\" audience first.\n\n - Educator Mindset: A portfolio of technical writing, blog posts, or video content that demonstrates your ability to make complex topics simple.\n\n - Community Engagement: Experience participating in or managing developer communities. You know how to engage with empathy and technical accuracy.\n\n - Technical Communicator: Ability to simplify complex AI orchestration through clear writing, documentation, and high-quality code samples.\n\n - Location: Remote-friendly. Ability to collaborate across global time zones is essential.\n\n\nPREFERRED/NICE TO HAVE\n\n - Partner DevRel Experience: You've been the bridge between two developer ecosystems before - in a partner-facing advocacy or solutions engineering role.\n\n - Deep AI Stack Proficiency: Hands-on experience with the broader \"AI Agent\" stack, including LLM orchestration frameworks (LangChain, LlamaIndex), Vector Databases (Pinecone, Weaviate), and RAG architecture.\n\n - Media & Real-time Protocols: Experience working with WebSockets, WebRTC, or gRPC. If you understand how audio bytes move across the wire in real-time, you are a top-tier candidate.\n\n - Engineering Influence: A history of collaborating directly with Product and Engineering teams to shape an API roadmap based on developer friction.\n\n - Industry Recognition: A digital presence which could include a popular technical YouTube or Twitch channel, a widely-read developer newsletter, or a history of speaking at Tier-1 conferences (e.g., re:Invent, Google I/O, SIGNAL).\n\n - Open Source Leadership: Experience as a maintainer or major contributor to a well-known open-source project, with a focus on community governance and developer onboarding.\n\n - Automation Mindset: You don't just build demos; you build the \"Engine.\" Experience with AI-assisted coding tools or building custom CLI utilities to automate your own advocacy workflow.\n\n\nWHY THIS ROLE MATTERS\n\nDeepgram wins when developers go from \"is this possible?\" to \"this is in production\" with zero friction. Developers are looking for opinionated, reliable patterns that combine our voice AI models with the platforms they already use. As a Senior Developer Advocate supporting our Partner Ecosystem, you're the person who makes sure those patterns exist, work, and are easy to find, and that the partner relationships behind them are strong enough to sustain real ecosystem growth.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"f4632ab4-f20b-4c8b-96a1-b2b9595c189e","title":"Senior Developer Advocate","department":"Engineering","team":"Developer Relations","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-05-06T18:45:52.797+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/f4632ab4-f20b-4c8b-96a1-b2b9595c189e","applyUrl":"https://jobs.ashbyhq.com/deepgram/f4632ab4-f20b-4c8b-96a1-b2b9595c189e/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is the leading 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 Developer Advocate, you are the builder and storyteller who proves what's possible with voice AI — and then shows developers exactly how to do it themselves.
You ship reference apps, demos, and technical content that move developers from curiosity to production. You find the friction points before anyone else does and turn them into actionable feedback for Product and Engineering. You show up where developers are — online and in person — and earn trust through technical depth, empathy, and consistency.
This is a high-autonomy role. You identify the gaps, define the approach, and drive work to measurable outcomes. You're deep in the Advocacy pillar (content, demos, community, narrative) and proficient in the Experience pillar (you can contribute to SDKs, recipes, and docs when the work calls for it). Your output moves the needle on adoption and retention, not just activity metrics.
We're looking for someone based on the US East Coast who can be Deepgram's in-person presence at events, meetups, and workshops in the NY metro area and across the US.
Ship Reference Apps & Demos: Architect and open-source sample apps that solve real-world challenges — building real-time voice agents, orchestrating multiple voice AI models, streaming audio intelligence pipelines. Every demo should be runnable, well-documented, and designed for developers to learn from and build on.
Code-First Content: Produce deep-dives, video walkthroughs, and \"build-in-public\" documentation that moves developers from idea to working prototype in minutes. You write and build for developers.
Be the \"Zero-Index\" Sensor: Act as the first customer for every new feature and API change. Turn feedback from your own builds and from the developer community into Friction Reports that influence Product and Engineering priorities.
Own Technical Narrative: Author high-quality technical content across blogs, social media, and video platforms that establishes Deepgram as the default choice for voice AI.
Community Engagement: Engage where developers live (GitHub, Reddit, X, Discord, Hacker News) to represent Deepgram, answer questions, and earn community trust through consistent technical presence.
In-Person Advocacy: Serve as Deepgram's on-the-ground presence primarily in the US. Lead workshops, speak at meetups and AI conferences, and build relationships with the developer community. Expect ~25% travel.
Cross-Pillar Contributions: Contribute to the Developer Experience pillar - building integration recipes, improving SDK documentation, or building demo tooling.
Multiply the Team: Document your processes and playbooks. Mentor teammates on content strategy, demo architecture, and community engagement patterns
Connect Work to Outcomes: Frame your impact in terms of developer outcomes — sign-ups, activations, content-to-trial conversion, community growth. Articulate the business case and impact for your work.
Experience: 5+ years in Software Engineering or Developer Relations. You've shipped production code and you've shipped developer-facing content
Tech Stack: Solid foundation in JavaScript, Python, Java, C#, Rust, or Go. You're comfortable building APIs, wiring up integrations, and creating clean frontends to showcase your work.
AI-First Mindset: You use AI tools in your daily workflow for coding, content, research, automation. You're not just building AI demos; you're productive with AI.
Educator Mindset: A portfolio of technical writing, blog posts, talks, or video content that demonstrates that you can make complex topics land with a developer audience.
Community Fluency: Experience participating in or building developer communities. You know how to engage with empathy and technical credibility, and when to step back and let the community lead.
Technical Communicator: You simplify complex AI orchestration through clear writing, documentation, and high-quality code samples. Developers trust your explanations.
High Autonomy: You proactively find the gaps, define the plan, and drive to outcomes without waiting to be pointed at a problem.
Location: US East Coast, with the ability to attend and represent Deepgram at events in the NY metro area. Some travel beyond the region (~25%) for conferences and team gatherings.
Deep AI Stack Proficiency: Hands-on experience with the broader \"AI Agent\" stack — LLM orchestration frameworks (LangChain, LlamaIndex), vector databases (Pinecone, Weaviate), and RAG architecture.
Media & Real-time Protocols: Experience working with WebSockets, WebRTC, or gRPC. If you understand how audio bytes move across the wire in real-time, you are a top-tier candidate.
Engineering Influence: A history of collaborating directly with Product and Engineering teams to shape an API roadmap based on developer friction.
Industry Recognition: A digital presence that could span a technical YouTube or Twitch channel, a newsletter, conference speaking history, or OSS contributions that show you've started building an audience.
Open Source Leadership: Experience as a maintainer or major contributor to a well-known open-source project, with a focus on community governance and developer onboarding.
Cross-Language Versatility: Demonstrating the ability to work across multiple languages to support enterprise-grade reference patterns is a major plus.
Automation Mindset: Experience with AI-assisted coding tools or custom CLI utilities to automate your own advocacy workflow.
Deepgram wins when developers move from \"is this possible?\" to \"this is in production\" with zero friction. The East Coast is home to a massive concentration of AI developers, startups, and enterprises building voice-native products. This role puts Deepgram in the room — at meetups, at conferences, in the communities where builders are making technology decisions. As a Senior Developer Advocate for Deepgram, you're the person who earns developer trust through the code you ship, the content you create, and the relationships you build in person.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\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\nABOUT THE ROLE\n\nAs a Senior Developer Advocate, you are the builder and storyteller who proves what's possible with voice AI — and then shows developers exactly how to do it themselves.\n\nYou ship reference apps, demos, and technical content that move developers from curiosity to production. You find the friction points before anyone else does and turn them into actionable feedback for Product and Engineering. You show up where developers are — online and in person — and earn trust through technical depth, empathy, and consistency.\n\nThis is a high-autonomy role. You identify the gaps, define the approach, and drive work to measurable outcomes. You're deep in the Advocacy pillar (content, demos, community, narrative) and proficient in the Experience pillar (you can contribute to SDKs, recipes, and docs when the work calls for it). Your output moves the needle on adoption and retention, not just activity metrics.\n\nWe're looking for someone based on the US East Coast who can be Deepgram's in-person presence at events, meetups, and workshops in the NY metro area and across the US.\n\n\nWHAT YOU’LL DO\n\n - Ship Reference Apps & Demos: Architect and open-source sample apps that solve real-world challenges — building real-time voice agents, orchestrating multiple voice AI models, streaming audio intelligence pipelines. Every demo should be runnable, well-documented, and designed for developers to learn from and build on.\n\n - Code-First Content: Produce deep-dives, video walkthroughs, and \"build-in-public\" documentation that moves developers from idea to working prototype in minutes. You write and build for developers.\n\n - Be the \"Zero-Index\" Sensor: Act as the first customer for every new feature and API change. Turn feedback from your own builds and from the developer community into Friction Reports that influence Product and Engineering priorities.\n\n - Own Technical Narrative: Author high-quality technical content across blogs, social media, and video platforms that establishes Deepgram as the default choice for voice AI.\n\n - Community Engagement: Engage where developers live (GitHub, Reddit, X, Discord, Hacker News) to represent Deepgram, answer questions, and earn community trust through consistent technical presence.\n\n - In-Person Advocacy: Serve as Deepgram's on-the-ground presence primarily in the US. Lead workshops, speak at meetups and AI conferences, and build relationships with the developer community. Expect ~25% travel.\n\n - Cross-Pillar Contributions: Contribute to the Developer Experience pillar - building integration recipes, improving SDK documentation, or building demo tooling.\n\n - Multiply the Team: Document your processes and playbooks. Mentor teammates on content strategy, demo architecture, and community engagement patterns\n\n - Connect Work to Outcomes: Frame your impact in terms of developer outcomes — sign-ups, activations, content-to-trial conversion, community growth. Articulate the business case and impact for your work.\n\n\nWHAT WE’RE LOOKING FOR\n\n - Experience: 5+ years in Software Engineering or Developer Relations. You've shipped production code and you've shipped developer-facing content\n\n - Tech Stack: Solid foundation in JavaScript, Python, Java, C#, Rust, or Go. You're comfortable building APIs, wiring up integrations, and creating clean frontends to showcase your work.\n\n - AI-First Mindset: You use AI tools in your daily workflow for coding, content, research, automation. You're not just building AI demos; you're productive with AI.\n\n - Educator Mindset: A portfolio of technical writing, blog posts, talks, or video content that demonstrates that you can make complex topics land with a developer audience.\n\n - Community Fluency: Experience participating in or building developer communities. You know how to engage with empathy and technical credibility, and when to step back and let the community lead.\n\n - Technical Communicator: You simplify complex AI orchestration through clear writing, documentation, and high-quality code samples. Developers trust your explanations.\n\n - High Autonomy: You proactively find the gaps, define the plan, and drive to outcomes without waiting to be pointed at a problem.\n\n - Location: US East Coast, with the ability to attend and represent Deepgram at events in the NY metro area. Some travel beyond the region (~25%) for conferences and team gatherings.\n\n\nPREFERRED / NICE-TO-HAVE\n\n - Deep AI Stack Proficiency: Hands-on experience with the broader \"AI Agent\" stack — LLM orchestration frameworks (LangChain, LlamaIndex), vector databases (Pinecone, Weaviate), and RAG architecture.\n\n - Media & Real-time Protocols: Experience working with WebSockets, WebRTC, or gRPC. If you understand how audio bytes move across the wire in real-time, you are a top-tier candidate.\n\n - Engineering Influence: A history of collaborating directly with Product and Engineering teams to shape an API roadmap based on developer friction.\n\n - Industry Recognition: A digital presence that could span a technical YouTube or Twitch channel, a newsletter, conference speaking history, or OSS contributions that show you've started building an audience.\n\n - Open Source Leadership: Experience as a maintainer or major contributor to a well-known open-source project, with a focus on community governance and developer onboarding.\n\n - Cross-Language Versatility: Demonstrating the ability to work across multiple languages to support enterprise-grade reference patterns is a major plus.\n\n - Automation Mindset: Experience with AI-assisted coding tools or custom CLI utilities to automate your own advocacy workflow.\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 East Coast is home to a massive concentration of AI developers, startups, and enterprises building voice-native products. This role puts Deepgram in the room — at meetups, at conferences, in the communities where builders are making technology decisions. As a Senior Developer Advocate for Deepgram, you're the person who earns developer trust through the code you ship, the content you create, and the relationships you build in person.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"8884965c-8a55-414c-ba86-a52d527f5dff","title":"Solutions Engineer, Enterprise","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York City, NY","secondaryLocations":[],"publishedAt":"2026-03-26T18:20:26.094+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"NY","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/8884965c-8a55-414c-ba86-a52d527f5dff","applyUrl":"https://jobs.ashbyhq.com/deepgram/8884965c-8a55-414c-ba86-a52d527f5dff/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.
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.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nOPPORTUNITY\n\nYou 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.\n\nYou 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.\n\nYou 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.\n\nThe 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.\n\n\nLOCATION\n\nThis 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.\n\nThis role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions\n\n\nWHAT YOU’LL OWN:\n\n - Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers.\n\n - Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization.\n\n - Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between.\n\n - Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary.\n\n - Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers.\n\n - Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building.\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it.\n\n - You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product.\n\n - You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration.\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output.\n\n - Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof.\n\n - High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones.\n\n - Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with voice AI, speech-to-text, NLP, or conversational AI systems.\n\n - Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero.\n\n - Previous experience embedded within a large enterprise customer’s product deployment.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"a58e4a11-7f98-4686-98e8-2612b52d7bbd","title":"Forward Deployed Engineer, Deepgram for Restaurants","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York City, NY","secondaryLocations":[],"publishedAt":"2026-03-26T18:25:35.532+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"NY","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/a58e4a11-7f98-4686-98e8-2612b52d7bbd","applyUrl":"https://jobs.ashbyhq.com/deepgram/a58e4a11-7f98-4686-98e8-2612b52d7bbd/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.
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.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nOPPORTUNITY\n\nYou 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.\n\nYou 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.\n\nYou 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.\n\nThe 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.\n\n\nLOCATION\n\nThis 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.\n\nThis role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions\n\n\nWHAT YOU’LL OWN:\n\n - Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers.\n\n - Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization.\n\n - Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between.\n\n - Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary.\n\n - Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers.\n\n - Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building.\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it.\n\n - You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product.\n\n - You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration.\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output.\n\n - Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof.\n\n - High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones.\n\n - Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with voice AI, speech-to-text, NLP, or conversational AI systems.\n\n - Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero.\n\n - Previous experience embedded within a large enterprise customer’s product deployment.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"b10db691-f77c-4a65-8f7c-ff9574f53f1e","title":"Senior Solutions Engineer, Federal","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Washington D.C.","secondaryLocations":[],"publishedAt":"2026-03-27T12:01:20.840+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"","addressCountry":"United States","addressLocality":"Washington D.C."}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/b10db691-f77c-4a65-8f7c-ff9574f53f1e","applyUrl":"https://jobs.ashbyhq.com/deepgram/b10db691-f77c-4a65-8f7c-ff9574f53f1e/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is seeking a Senior Applied Engineer to join our Applied Engineering team, operating in the Solutions Engineer role with a focus on federal customers. In this role, you will embed directly with our most strategic federal accounts to lead complex deployments of Deepgram's Voice AI platform in production environments where mission performance matters, delivery is urgent, and ambiguity is the default.
You will own the full technical lifecycle of federal engagements, from initial discovery and proof-of-concept through production deployment and ongoing optimization. You'll map customer problems, structure delivery, and ship solutions fast. This includes scoping, sequencing, and building full-stack integrations that create measurable mission impact while driving clarity across internal and external teams. Along the way, you'll identify reusable patterns, codify best practices, and share field signals that influence Deepgram's product roadmap.
As a member of the Applied Engineering team, you'll serve as the trusted technical thought partner for federal stakeholders, guiding adoption, maximizing operational value, and ensuring successful deployments at scale. While your engagements will primarily involve federal customers, you'll remain a core part of the broader Applied Engineering team and may contribute to commercial engagements where your expertise is valuable.
The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Sales Engineering, Solutions Architecture, Implementation, Forward-Deployed Engineering, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Relations (DevRel) teams to ensure a positive, growth-focused experience for our customers, as well as with Product and Engineering teams to deliver solutions that meet customer needs. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers.
As a Senior Applied Engineer operating in the FDE role for federal engagements, you'll work with a high degree of autonomy in customer environments that often have unique infrastructure constraints, compliance requirements, and security considerations. Your work will directly shape how federal agencies leverage Voice AI to achieve their missions.
Own technical delivery across federal deployments, from first prototype to stable production
Embed deeply with federal customers to design and build mission-critical applications powered by Deepgram's Voice AI models
Lead technical discovery and solution design for federal prospects and customers, partnering with Account Executives to navigate complex government sales and procurement cycles
Prototype and build full-stack integrations using Python, JavaScript, Rust, or comparable stacks that deliver real mission impact
Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications
Proactively guide federal stakeholders on maximizing operational value from Deepgram's platform, including performance optimization and deployment strategies
Scope work, sequence delivery, and remove blockers early, making deliberate trade-offs between scope, speed, and quality
Build and manage relationships with customer leadership and technical stakeholders to ensure successful deployment and scale
Contribute directly to code when clarity or momentum depends on it
Codify working patterns into tools, playbooks, reference architectures, and building blocks the broader team can use
Share field feedback with Product and Engineering to influence model and product development
Serve as an escalation point for complex technical issues in federal deployments
Analyze deployment patterns to identify product improvement opportunities and inform Deepgram's federal go-to-market strategy
40% — Embedded customer delivery: deployments, integrations, and technical problem-solving at federal customer sites and facilities
25% — Pre-sales technical engagement: discovery, demos, proof-of-concepts, and proposal support
20% — Building reusable solutions, automation, documentation, and reference architectures
15% — Internal collaboration: product feedback, knowledge sharing, and contributing to Applied Engineering strategy
First 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Gain proficiency with our core APIs and documentation. Shadow active customer engagements across both commercial and federal accounts to build familiarity with how the Applied Engineering team operates, the deployment patterns we use, and the specific requirements of government environments.
60 Days: Begin taking ownership of federal customer engagements, leading technical discovery and developing proof-of-concepts for government prospects. Start contributing to federal-specific technical content, reference architectures, and deployment guides. Participate in sales strategy sessions and provide technical insights on active federal deals.
90 Days: Own the full technical relationship with assigned federal accounts. Develop and deliver complex solutions addressing specific mission challenges. Establish patterns for repeatable federal deployments and begin contributing to the team's federal go-to-market methodology.
Thrive in high-ambiguity, mission-driven environments where you need to move fast and make sound decisions under pressure
Are passionate about translating complex technical capabilities into real operational value for government missions
Enjoy embedding deeply with customers, building trust, and becoming their go-to technical partner
Find satisfaction in shipping production systems that make a tangible difference
Are energized by the challenge of deploying cutting-edge Voice AI in complex, constrained environments
See yourself as an engineer first who happens to be great with customers, not the other way around
Can ruthlessly prioritize across multiple projects and operate with high autonomy
Active Top Secret/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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nOPPORTUNITY\n\nDeepgram is seeking a Senior Applied Engineer to join our Applied Engineering team, operating in the Solutions Engineer role with a focus on federal customers. In this role, you will embed directly with our most strategic federal accounts to lead complex deployments of Deepgram's Voice AI platform in production environments where mission performance matters, delivery is urgent, and ambiguity is the default.\n\n\nYou will own the full technical lifecycle of federal engagements, from initial discovery and proof-of-concept through production deployment and ongoing optimization. You'll map customer problems, structure delivery, and ship solutions fast. This includes scoping, sequencing, and building full-stack integrations that create measurable mission impact while driving clarity across internal and external teams. Along the way, you'll identify reusable patterns, codify best practices, and share field signals that influence Deepgram's product roadmap.\n\n\nAs a member of the Applied Engineering team, you'll serve as the trusted technical thought partner for federal stakeholders, guiding adoption, maximizing operational value, and ensuring successful deployments at scale. While your engagements will primarily involve federal customers, you'll remain a core part of the broader Applied Engineering team and may contribute to commercial engagements where your expertise is valuable.\n\n\nNOTE: THIS ROLE IS BASED REMOTELY OUT OF THE WASHINGTON D.C. METROPOLITAN AREA.\n\n\nABOUT APPLIED ENGINEERING AT DEEPGRAM\n\nThe Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Sales Engineering, Solutions Architecture, Implementation, Forward-Deployed Engineering, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Relations (DevRel) teams to ensure a positive, growth-focused experience for our customers, as well as with Product and Engineering teams to deliver solutions that meet customer needs. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers.\n\nAs a Senior Applied Engineer operating in the FDE role for federal engagements, you'll work with a high degree of autonomy in customer environments that often have unique infrastructure constraints, compliance requirements, and security considerations. Your work will directly shape how federal agencies leverage Voice AI to achieve their missions.\n\n\nWHAT YOU'LL DO\n\n - Own technical delivery across federal deployments, from first prototype to stable production\n\n - Embed deeply with federal customers to design and build mission-critical applications powered by Deepgram's Voice AI models\n\n - Lead technical discovery and solution design for federal prospects and customers, partnering with Account Executives to navigate complex government sales and procurement cycles\n\n - Prototype and build full-stack integrations using Python, JavaScript, Rust, or comparable stacks that deliver real mission impact\n\n - Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications\n\n - Proactively guide federal stakeholders on maximizing operational value from Deepgram's platform, including performance optimization and deployment strategies\n\n - Scope work, sequence delivery, and remove blockers early, making deliberate trade-offs between scope, speed, and quality\n\n - Build and manage relationships with customer leadership and technical stakeholders to ensure successful deployment and scale\n\n - Contribute directly to code when clarity or momentum depends on it\n\n - Codify working patterns into tools, playbooks, reference architectures, and building blocks the broader team can use\n\n - Share field feedback with Product and Engineering to influence model and product development\n\n - Serve as an escalation point for complex technical issues in federal deployments\n\n - Analyze deployment patterns to identify product improvement opportunities and inform Deepgram's federal go-to-market strategy\n\n\nTIME ALLOCATION\n\n - 40% — Embedded customer delivery: deployments, integrations, and technical problem-solving at federal customer sites and facilities\n\n - 25% — Pre-sales technical engagement: discovery, demos, proof-of-concepts, and proposal support\n\n - 20% — Building reusable solutions, automation, documentation, and reference architectures\n\n - 15% — Internal collaboration: product feedback, knowledge sharing, and contributing to Applied Engineering strategy\n\n\nYOUR FIRST 90 DAYS\n\nFirst 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Gain proficiency with our core APIs and documentation. Shadow active customer engagements across both commercial and federal accounts to build familiarity with how the Applied Engineering team operates, the deployment patterns we use, and the specific requirements of government environments.\n\n60 Days: Begin taking ownership of federal customer engagements, leading technical discovery and developing proof-of-concepts for government prospects. Start contributing to federal-specific technical content, reference architectures, and deployment guides. Participate in sales strategy sessions and provide technical insights on active federal deals.\n\n90 Days: Own the full technical relationship with assigned federal accounts. Develop and deliver complex solutions addressing specific mission challenges. Establish patterns for repeatable federal deployments and begin contributing to the team's federal go-to-market methodology.\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Thrive in high-ambiguity, mission-driven environments where you need to move fast and make sound decisions under pressure\n\n - Are passionate about translating complex technical capabilities into real operational value for government missions\n\n - Enjoy embedding deeply with customers, building trust, and becoming their go-to technical partner\n\n - Find satisfaction in shipping production systems that make a tangible difference\n\n - Are energized by the challenge of deploying cutting-edge Voice AI in complex, constrained environments\n\n - See yourself as an engineer first who happens to be great with customers, not the other way around\n\n - Can ruthlessly prioritize across multiple projects and operate with high autonomy\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Active Top Secret/SCI (TS/SCI) security clearance, or equivalent\n\n - 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments\n\n - Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript, or similar\n\n - Proven ability to scope and deliver complex systems in fast-moving or ambiguous contexts\n\n - Experience building and deploying production systems in government or similarly constrained environments\n\n - Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders, including senior government leadership\n\n - Track record of navigating complex sales or procurement cycles in the federal space\n\n - Willingness to travel up to 50%, including on-site work at government facilities\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies\n\n - Familiarity with cloud deployment models (AWS GovCloud, Azure Government, etc.), Kubernetes, Terraform, and related infrastructure\n\n - Experience building or deploying systems powered by LLMs or generative models, with an understanding of how model behavior affects product experience\n\n - Knowledge of FedRAMP, FISMA, or other government compliance frameworks\n\n - Experience with API-first products and developer tools\n\n - Background in sales methodologies such as MEDDIC or Solution Selling, particularly in government contexts\n\n - Experience developing automation solutions, self-service tools, and technical documentation for customer enablement\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"b9b27091-1a95-4c31-a304-55c31711887a","title":"Senior Product Marketing Manager, Text-to-Speech (TTS)","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-06T15:53:36.546+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/b9b27091-1a95-4c31-a304-55c31711887a","applyUrl":"https://jobs.ashbyhq.com/deepgram/b9b27091-1a95-4c31-a304-55c31711887a/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 agents are becoming standard infrastructure for customer-facing businesses, and text-to-speech (TTS) is what separates a voice agent that feels natural from one that feels broken. We're looking for a Senior PMM to own our go-to-market motion in TTS and make Deepgram the default choice for teams building voice agents.
This is a market ownership role. You'll define how Deepgram shows up in the TTS space, build the narrative that sets us apart from general-purpose providers, drive adoption from developer trial through enterprise deployment, and own product launches as they come. You'll work across Product, Sales, Developer Relations, and Demand Gen to make sure the TTS story is consistent, compelling, and closing deals.
We're an AI-native team. We expect AI to be woven into how you work, not something you reach for occasionally.
Own the TTS category narrative. Define what \"TTS for voice agents\" means in a way that plays to Deepgram's strengths and makes general-purpose providers look like the wrong tool for the job.
Build and execute GTM strategy across developer adoption, pipeline influence, and account expansion. TTS doesn't always sell alone; know how it fits into voice agent and speech-to-text (STT) deals and make sure it shows up at the right moments.
Lead product launches for TTS releases: new voices, model improvements, latency advances, deployment options. Clear messaging, sharp launch plans, tight cross-functional execution.
Own competitive positioning. Battlecards, objection-handling guides, and displacement plays against ElevenLabs, OpenAI, Amazon Polly, PlayHT, and others. Know where we win, where we lose, and why.
Enable sales and build proof points. Collateral, customer stories, and benchmarks that win TTS deals and surface TTS opportunities in broader conversations.
Collaborate with Product on market and competitive intelligence: what voice agent builders need, what competitors are doing, where the market is going.
Drive developer-facing content and awareness with Developer Relations: tutorials, documentation messaging, use case content, and SEO tied to how voice agent builders actually search.
Build AI-assisted PMM workflows. Use AI to accelerate research, competitive synthesis, and content production. Build repeatable systems, not one-off prompts. You set the strategy; AI handles the first drafts.
Are energized by owning a market, not just supporting a product. You want to shape how buyers think about the problem.
Understand the voice agent stack well enough to tell a coherent story about where TTS fits and why it matters.
Move fluidly between a developer audience and a business buyer without losing either one.
Are comfortable marketing a product with both a technical integration story and an experiential one, where one buyer is reading API docs and another is deciding if a voice sounds right for their brand.
Default to AI-first: you use AI continuously, have good judgment about when it's wrong, and think in systems rather than one-off prompts.
5+ years of product marketing experience, including at least 2 years on infrastructure, API, or developer-facing products.
Strong messaging skills: you can build a positioning architecture from scratch and know the difference between a message that's technically accurate and one that actually moves people.
A high bar for quality: you notice when copy is off, when a layout doesn't work, when creative doesn't match the brand, and you can give useful feedback on all of it.
Working knowledge of the AI landscape: frontier models, major LLM providers, how the ecosystem fits together. You need to talk about this credibly with technical buyers.
Technical depth: you can engage with engineering and product teams, read API docs, and translate product-level details into market-facing narratives without oversimplifying.
Fluency in both product-led and sales-led growth motions, and how they interact.
Demonstrated AI fluency: concrete examples of AI-assisted workflows you've built, iterated on, and measured, with specific outcomes to back it up.
Experience in the voice AI space and familiarity with how TTS, STT, and large language models come together in a production voice agent stack.
Hands-on experience with AI-native tools across the stack: agentic coding (Claude Code, Codex) and collaborative work tools (Cowork, etc.).
Experience with technical proof points, model benchmarks, or evaluation frameworks. In TTS, buying decisions often come down to a listening test.
Comfort operating where the playbook doesn't fully exist yet and you're building it as you go.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nOPPORTUNITY\n\nVoice agents are becoming standard infrastructure for customer-facing businesses, and text-to-speech (TTS) is what separates a voice agent that feels natural from one that feels broken. We're looking for a Senior PMM to own our go-to-market motion in TTS and make Deepgram the default choice for teams building voice agents.\n\nThis is a market ownership role. You'll define how Deepgram shows up in the TTS space, build the narrative that sets us apart from general-purpose providers, drive adoption from developer trial through enterprise deployment, and own product launches as they come. You'll work across Product, Sales, Developer Relations, and Demand Gen to make sure the TTS story is consistent, compelling, and closing deals.\n\nWe're an AI-native team. We expect AI to be woven into how you work, not something you reach for occasionally.\n\n\nWHAT YOU'LL DO\n\n - Own the TTS category narrative. Define what \"TTS for voice agents\" means in a way that plays to Deepgram's strengths and makes general-purpose providers look like the wrong tool for the job.\n\n - Build and execute GTM strategy across developer adoption, pipeline influence, and account expansion. TTS doesn't always sell alone; know how it fits into voice agent and speech-to-text (STT) deals and make sure it shows up at the right moments.\n\n - Lead product launches for TTS releases: new voices, model improvements, latency advances, deployment options. Clear messaging, sharp launch plans, tight cross-functional execution.\n\n - Own competitive positioning. Battlecards, objection-handling guides, and displacement plays against ElevenLabs, OpenAI, Amazon Polly, PlayHT, and others. Know where we win, where we lose, and why.\n\n - Enable sales and build proof points. Collateral, customer stories, and benchmarks that win TTS deals and surface TTS opportunities in broader conversations.\n\n - Collaborate with Product on market and competitive intelligence: what voice agent builders need, what competitors are doing, where the market is going.\n\n - Drive developer-facing content and awareness with Developer Relations: tutorials, documentation messaging, use case content, and SEO tied to how voice agent builders actually search.\n\n - Build AI-assisted PMM workflows. Use AI to accelerate research, competitive synthesis, and content production. Build repeatable systems, not one-off prompts. You set the strategy; AI handles the first drafts.\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are energized by owning a market, not just supporting a product. You want to shape how buyers think about the problem.\n\n - Understand the voice agent stack well enough to tell a coherent story about where TTS fits and why it matters.\n\n - Move fluidly between a developer audience and a business buyer without losing either one.\n\n - Are comfortable marketing a product with both a technical integration story and an experiential one, where one buyer is reading API docs and another is deciding if a voice sounds right for their brand.\n\n - Default to AI-first: you use AI continuously, have good judgment about when it's wrong, and think in systems rather than one-off prompts.\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 5+ years of product marketing experience, including at least 2 years on infrastructure, API, or developer-facing products.\n\n - Strong messaging skills: you can build a positioning architecture from scratch and know the difference between a message that's technically accurate and one that actually moves people.\n\n - A high bar for quality: you notice when copy is off, when a layout doesn't work, when creative doesn't match the brand, and you can give useful feedback on all of it.\n\n - Working knowledge of the AI landscape: frontier models, major LLM providers, how the ecosystem fits together. You need to talk about this credibly with technical buyers.\n\n - Technical depth: you can engage with engineering and product teams, read API docs, and translate product-level details into market-facing narratives without oversimplifying.\n\n - Fluency in both product-led and sales-led growth motions, and how they interact.\n\n - Demonstrated AI fluency: concrete examples of AI-assisted workflows you've built, iterated on, and measured, with specific outcomes to back it up.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience in the voice AI space and familiarity with how TTS, STT, and large language models come together in a production voice agent stack.\n\n - Hands-on experience with AI-native tools across the stack: agentic coding (Claude Code, Codex) and collaborative work tools (Cowork, etc.).\n\n - Experience with technical proof points, model benchmarks, or evaluation frameworks. In TTS, buying decisions often come down to a listening test.\n\n - Comfort operating where the playbook doesn't fully exist yet and you're building it as you go.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"7ced4c1f-4126-44fe-9cf1-da427a9e4e3e","title":"ML Ops Infrastructure Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-06T11:46:15.333+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/7ced4c1f-4126-44fe-9cf1-da427a9e4e3e","applyUrl":"https://jobs.ashbyhq.com/deepgram/7ced4c1f-4126-44fe-9cf1-da427a9e4e3e/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Getting a model from a research notebook to a production API serving millions of requests is one of the hardest problems in AI. As an ML Ops Infrastructure Engineer at Deepgram, you will own the critical bridge between research and production -- building the pipelines, deployment systems, and testing infrastructure that take models from experimental to battle-tested at scale. Your work ensures that every model improvement our research team makes can be safely, quickly, and reliably delivered to the customers who depend on Deepgram's APIs for real-time voice AI.
Design and build CI/CD pipelines specifically tailored for ML model development, validation, and deployment
Architect and maintain model deployment pipelines that move models from research environments through staging to production with confidence
Build A/B testing infrastructure that enables controlled rollouts of new models and measures real-world performance impact
Implement comprehensive monitoring for model performance in production -- accuracy metrics, latency, drift detection, and regression alerts
Develop automated retraining pipelines that trigger on data changes, performance degradation, or scheduled cadences
Create and maintain build and test environments that mirror production, giving researchers high-fidelity feedback before deployment
Establish model versioning, artifact management, and rollback capabilities to ensure safe and reproducible deployments
Collaborate with research engineers to define and enforce model quality gates before production promotion
Build observability dashboards that give the team real-time insight into model health across all environments
Optimize model serving infrastructure for latency, throughput, and cost efficiency
Are excited by the challenge of operationalizing cutting-edge AI models at production scale
Believe that great infrastructure is what turns research breakthroughs into customer value
Enjoy designing systems that are automated, reliable, and self-healing
Want to work on problems where minutes of latency reduction or percentage points of accuracy matter enormously
Like collaborating across research and engineering teams to make the whole organization faster
Are motivated by building the deployment and testing systems that back a platform serving over 200,000 developers
4+ years of experience in MLOps, DevOps, or infrastructure engineering with a focus on ML systems
Strong proficiency in Python and experience building automation and tooling for ML workflows
Deep experience with CI/CD systems and building pipelines for software and model delivery
Hands-on experience with Docker and Kubernetes for containerized workload management
Practical experience deploying and serving ML models in production environments
Familiarity with model evaluation, validation, and quality assurance processes
Understanding of monitoring and observability principles as applied to ML systems
Strong problem-solving skills and a bias toward automation over manual processes
Experience with model serving frameworks such as NVIDIA Triton Inference Server, TensorRT, or ONNX Runtime
Background in speech, audio, or real-time media ML systems
Experience with Infrastructure as Code tools such as Terraform or Pulumi
Hands-on experience with monitoring and observability stacks (Prometheus, Grafana, Datadog, or similar)
Familiarity with GPU-accelerated inference optimization and profiling
Experience with feature stores, data versioning, or ML metadata management
Knowledge of canary deployment strategies and progressive delivery for ML models
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY\n\nGetting a model from a research notebook to a production API serving millions of requests is one of the hardest problems in AI. As an ML Ops Infrastructure Engineer at Deepgram, you will own the critical bridge between research and production -- building the pipelines, deployment systems, and testing infrastructure that take models from experimental to battle-tested at scale. Your work ensures that every model improvement our research team makes can be safely, quickly, and reliably delivered to the customers who depend on Deepgram's APIs for real-time voice AI.\n\n\n\nWHAT YOU'LL DO\n\n - Design and build CI/CD pipelines specifically tailored for ML model development, validation, and deployment\n\n - Architect and maintain model deployment pipelines that move models from research environments through staging to production with confidence\n\n - Build A/B testing infrastructure that enables controlled rollouts of new models and measures real-world performance impact\n\n - Implement comprehensive monitoring for model performance in production -- accuracy metrics, latency, drift detection, and regression alerts\n\n - Develop automated retraining pipelines that trigger on data changes, performance degradation, or scheduled cadences\n\n - Create and maintain build and test environments that mirror production, giving researchers high-fidelity feedback before deployment\n\n - Establish model versioning, artifact management, and rollback capabilities to ensure safe and reproducible deployments\n\n - Collaborate with research engineers to define and enforce model quality gates before production promotion\n\n - Build observability dashboards that give the team real-time insight into model health across all environments\n\n - Optimize model serving infrastructure for latency, throughput, and cost efficiency\n \n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are excited by the challenge of operationalizing cutting-edge AI models at production scale\n\n - Believe that great infrastructure is what turns research breakthroughs into customer value\n\n - Enjoy designing systems that are automated, reliable, and self-healing\n\n - Want to work on problems where minutes of latency reduction or percentage points of accuracy matter enormously\n\n - Like collaborating across research and engineering teams to make the whole organization faster\n\n - Are motivated by building the deployment and testing systems that back a platform serving over 200,000 developers\n \n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 4+ years of experience in MLOps, DevOps, or infrastructure engineering with a focus on ML systems\n\n - Strong proficiency in Python and experience building automation and tooling for ML workflows\n\n - Deep experience with CI/CD systems and building pipelines for software and model delivery\n\n - Hands-on experience with Docker and Kubernetes for containerized workload management\n\n - Practical experience deploying and serving ML models in production environments\n\n - Familiarity with model evaluation, validation, and quality assurance processes\n\n - Understanding of monitoring and observability principles as applied to ML systems\n\n - Strong problem-solving skills and a bias toward automation over manual processes\n \n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with model serving frameworks such as NVIDIA Triton Inference Server, TensorRT, or ONNX Runtime\n\n - Background in speech, audio, or real-time media ML systems\n\n - Experience with Infrastructure as Code tools such as Terraform or Pulumi\n\n - Hands-on experience with monitoring and observability stacks (Prometheus, Grafana, Datadog, or similar)\n\n - Familiarity with GPU-accelerated inference optimization and profiling\n\n - Experience with feature stores, data versioning, or ML metadata management\n\n - Knowledge of canary deployment strategies and progressive delivery for ML models\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"d6558e6d-cefe-41f1-97aa-21e964cab0f4","title":"Engineering Manager, Engine Team","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-08T17:10:38.201+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/d6558e6d-cefe-41f1-97aa-21e964cab0f4","applyUrl":"https://jobs.ashbyhq.com/deepgram/d6558e6d-cefe-41f1-97aa-21e964cab0f4/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
The Opportunity
Deepgram is looking for an engineering manager to lead the design and implementation of Deepgram’s core voice AI APIs. You will lead two teams of engineers in building the services that power Deepgram’s STT, TTS, and Voice Agent product lines. Your ability to partner effectively with leaders and ICs in Research and Product while leading talented engineers to build, maintain, and extend mission-critical systems will contribute significantly to Deepgram’s competitive advantage. You will be a critical voice in Deepgram’s Product, Research, and Engineering teams, driving high impact products from start to finish.
What You’ll Do
Recruit, hire, train, and support top engineering talent to build a world-class team
Transform cross-functional visions into detailed project plans, ensuring clarity across teams on commitments, risks, and timelines
Define and own the technical strategy enabling Deepgram’s core APIs to remain best-in-class for scalability and reliability
Promote a robust team engineering culture, including a focus on rigorous engineering standards as well as continuous improvement on team practices and processes
Partner with Product and Research to design and implement new services, features, and/or products end to end
Coach and mentor engineers to achieve high personal growth while delivering on ambitious team goals
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
See management as an opportunity to empower a team to solve big problems through your own grit, learning, and empathy
It’s Important To Us That You Have
Proven experience managing and leading and growing a team with a consistent record of mentoring and coaching team members
A strong technical background building world class solutions
The ability to drive technical decisions in a scalable and thoughtful manner
Passion about good engineering practices, emerging technologies, and improving processes
A passion for navigating the team through the real-world constraints of a startup: how to build quickly, iterate frequently, and run experiments
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
It Would Be Great if You Had
Experience working in high-growth startups
Familiarity with hybrid cloud models (bare-metal datacenters and cloud service providers)
Deep experience with machine learning inference at scale
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nThe Opportunity\nDeepgram is looking for an engineering manager to lead the design and implementation of Deepgram’s core voice AI APIs. You will lead two teams of engineers in building the services that power Deepgram’s STT, TTS, and Voice Agent product lines. Your ability to partner effectively with leaders and ICs in Research and Product while leading talented engineers to build, maintain, and extend mission-critical systems will contribute significantly to Deepgram’s competitive advantage. You will be a critical voice in Deepgram’s Product, Research, and Engineering teams, driving high impact products from start to finish.\n\nWhat You’ll Do\n\n - Recruit, hire, train, and support top engineering talent to build a world-class team\n\n - Transform cross-functional visions into detailed project plans, ensuring clarity across teams on commitments, risks, and timelines\n\n - Define and own the technical strategy enabling Deepgram’s core APIs to remain best-in-class for scalability and reliability\n\n - Promote a robust team engineering culture, including a focus on rigorous engineering standards as well as continuous improvement on team practices and processes\n\n - Partner with Product and Research to design and implement new services, features, and/or products end to end\n\n - Coach and mentor engineers to achieve high personal growth while delivering on ambitious team goals\n\nYou’ll Love This Role If You\n\n - Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity\n\n - Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work\n\n - See management as an opportunity to empower a team to solve big problems through your own grit, learning, and empathy\n\nIt’s Important To Us That You Have\n\n - Proven experience managing and leading and growing a team with a consistent record of mentoring and coaching team members\n\n - A strong technical background building world class solutions\n\n - The ability to drive technical decisions in a scalable and thoughtful manner\n\n - Passion about good engineering practices, emerging technologies, and improving processes\n\n - A passion for navigating the team through the real-world constraints of a startup: how to build quickly, iterate frequently, and run experiments\n\n - 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\n\nIt Would Be Great if You Had\n\n - Experience working in high-growth startups\n\n - Familiarity with hybrid cloud models (bare-metal datacenters and cloud service providers)\n\n - Deep experience with machine learning inference at scale\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"b4c48280-9b6c-4545-be49-b33e0b6076cd","title":"Network Engineer, Real-Time Infrastructure","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-06T11:43:43.376+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/b4c48280-9b6c-4545-be49-b33e0b6076cd","applyUrl":"https://jobs.ashbyhq.com/deepgram/b4c48280-9b6c-4545-be49-b33e0b6076cd/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.
When a developer calls Deepgram's API to transcribe a phone call in real time or generate speech for a voice agent, every millisecond of network latency matters. As a Network Engineer at Deepgram, you will own the global network infrastructure that makes real-time voice AI possible at scale. You will optimize traffic routing across our hybrid cloud and bare metal footprint, design edge strategies that bring compute closer to users, and ensure that Deepgram's platform delivers the ultra-low-latency experience our customers depend on. This role fills a critical skill gap on our infrastructure team and gives you the opportunity to shape network strategy from the ground up.
Architect and optimize Deepgram's global network for real-time audio streaming, minimizing latency across geographic regions
Design and manage CDN and edge computing strategies to bring processing closer to end users
Configure and maintain BGP routing, including peering relationships and route optimization for multi-cloud and bare metal environments
Implement and tune load balancing solutions that intelligently distribute traffic across heterogeneous infrastructure (cloud, bare metal, GPU clusters)
Build and optimize multi-cloud networking architectures spanning AWS, other cloud providers, and on-premises data centers
Design and maintain bare metal networking including top-of-rack switching, spine-leaf architectures, and high-bandwidth GPU interconnects
Develop latency measurement, monitoring, and optimization tooling to continuously improve network performance
Plan and execute network capacity expansions as Deepgram's traffic and infrastructure footprint grow
Collaborate with infrastructure and platform teams to ensure network designs support both real-time inference and large-scale training workloads
Establish network security best practices including segmentation, DDoS mitigation, and access control policies
Are passionate about squeezing every millisecond of latency out of a network path
Want to design global network infrastructure for a platform that processes real-time audio at massive scale
Enjoy the challenge of networking across hybrid environments -- cloud, bare metal, and edge
Like working on problems where network performance directly impacts product quality and customer experience
Want to build network strategy and architecture from the ground up, not just maintain what already exists
Are excited about the unique networking challenges that come with GPU clusters and AI/ML workloads
5+ years of experience in network engineering, including design, implementation, and operations
Deep expertise with BGP, OSPF, and other dynamic routing protocols in production environments
Hands-on experience designing and operating load balancing solutions at scale
Strong understanding of CDN architectures and content delivery optimization
Experience with cloud networking, specifically AWS VPC design, transit gateways, peering, and hybrid connectivity
Practical experience with bare metal networking -- switch configuration, VLAN design, physical infrastructure
Solid understanding of TCP/IP, DNS, TLS, and HTTP/2 / HTTP/3 performance optimization
Experience with network monitoring, troubleshooting, and performance analysis tools
Experience with real-time streaming protocols (WebSocket, WebRTC, RTP/RTSP) and optimizing networks for media traffic
Knowledge of GPU cluster networking including InfiniBand, RoCE (RDMA over Converged Ethernet), and high-bandwidth interconnects
Experience with multi-cloud networking spanning AWS, GCP, and/or Azure
Familiarity with network automation and Infrastructure as Code (Ansible, Terraform, or similar)
Experience with anycast routing and global traffic management
Background in network performance optimization for latency-sensitive applications
Understanding of DDoS mitigation strategies and network security at scale
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY\n\nWhen a developer calls Deepgram's API to transcribe a phone call in real time or generate speech for a voice agent, every millisecond of network latency matters. As a Network Engineer at Deepgram, you will own the global network infrastructure that makes real-time voice AI possible at scale. You will optimize traffic routing across our hybrid cloud and bare metal footprint, design edge strategies that bring compute closer to users, and ensure that Deepgram's platform delivers the ultra-low-latency experience our customers depend on. This role fills a critical skill gap on our infrastructure team and gives you the opportunity to shape network strategy from the ground up.\n\n\n\nWHAT YOU'LL DO\n\n - Architect and optimize Deepgram's global network for real-time audio streaming, minimizing latency across geographic regions\n\n - Design and manage CDN and edge computing strategies to bring processing closer to end users\n\n - Configure and maintain BGP routing, including peering relationships and route optimization for multi-cloud and bare metal environments\n\n - Implement and tune load balancing solutions that intelligently distribute traffic across heterogeneous infrastructure (cloud, bare metal, GPU clusters)\n\n - Build and optimize multi-cloud networking architectures spanning AWS, other cloud providers, and on-premises data centers\n\n - Design and maintain bare metal networking including top-of-rack switching, spine-leaf architectures, and high-bandwidth GPU interconnects\n\n - Develop latency measurement, monitoring, and optimization tooling to continuously improve network performance\n\n - Plan and execute network capacity expansions as Deepgram's traffic and infrastructure footprint grow\n\n - Collaborate with infrastructure and platform teams to ensure network designs support both real-time inference and large-scale training workloads\n\n - Establish network security best practices including segmentation, DDoS mitigation, and access control policies\n \n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are passionate about squeezing every millisecond of latency out of a network path\n\n - Want to design global network infrastructure for a platform that processes real-time audio at massive scale\n\n - Enjoy the challenge of networking across hybrid environments -- cloud, bare metal, and edge\n\n - Like working on problems where network performance directly impacts product quality and customer experience\n\n - Want to build network strategy and architecture from the ground up, not just maintain what already exists\n\n - Are excited about the unique networking challenges that come with GPU clusters and AI/ML workloads\n \n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 5+ years of experience in network engineering, including design, implementation, and operations\n\n - Deep expertise with BGP, OSPF, and other dynamic routing protocols in production environments\n\n - Hands-on experience designing and operating load balancing solutions at scale\n\n - Strong understanding of CDN architectures and content delivery optimization\n\n - Experience with cloud networking, specifically AWS VPC design, transit gateways, peering, and hybrid connectivity\n\n - Practical experience with bare metal networking -- switch configuration, VLAN design, physical infrastructure\n\n - Solid understanding of TCP/IP, DNS, TLS, and HTTP/2 / HTTP/3 performance optimization\n\n - Experience with network monitoring, troubleshooting, and performance analysis tools\n \n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with real-time streaming protocols (WebSocket, WebRTC, RTP/RTSP) and optimizing networks for media traffic\n\n - Knowledge of GPU cluster networking including InfiniBand, RoCE (RDMA over Converged Ethernet), and high-bandwidth interconnects\n\n - Experience with multi-cloud networking spanning AWS, GCP, and/or Azure\n\n - Familiarity with network automation and Infrastructure as Code (Ansible, Terraform, or similar)\n\n - Experience with anycast routing and global traffic management\n\n - Background in network performance optimization for latency-sensitive applications\n\n - Understanding of DDoS mitigation strategies and network security at scale\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"ff392127-1eb6-4fc7-838e-a3243923ba76","title":"Systems Architect AI/ML Infrastructure","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-06T12:06:29.198+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/ff392127-1eb6-4fc7-838e-a3243923ba76","applyUrl":"https://jobs.ashbyhq.com/deepgram/ff392127-1eb6-4fc7-838e-a3243923ba76/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 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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY\n\nDeepgram'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.\n\n\n\nWHAT YOU'LL DO\n\n - Define and drive the end-to-end infrastructure architecture for Deepgram's AI/ML workloads across production inference and research training\n\n - Design multi-cloud and hybrid infrastructure strategies that balance performance, reliability, cost, and vendor flexibility\n\n - Architect compute orchestration systems that efficiently schedule and manage GPU and CPU workloads across heterogeneous infrastructure\n\n - 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\n\n - Lead capacity planning across all infrastructure dimensions, modeling growth and ensuring Deepgram can scale ahead of demand\n\n - Drive cost optimization and FinOps practices, identifying opportunities to reduce infrastructure spend without compromising performance or reliability\n\n - Design burstable, elastic training infrastructure that can scale up for large training runs and scale down to minimize idle cost\n\n - Architect research compute infrastructure that gives ML teams the resources they need while maintaining operational efficiency\n\n - Establish architectural standards, design review processes, and technical documentation practices for infrastructure decisions\n\n - Collaborate with engineering leadership to align infrastructure strategy with product roadmap and business objectives\n\n - Evaluate emerging hardware, cloud services, and infrastructure technologies for potential adoption\n \n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Think in systems -- you naturally see the connections between compute, storage, network, and how they interact under load\n\n - Are motivated by designing infrastructure that operates at the intersection of real-time production systems and large-scale ML training\n\n - Enjoy making architectural trade-offs where cost, performance, reliability, and velocity are all in tension\n\n - Want to work across the full infrastructure stack -- from bare metal and GPUs to cloud services and container orchestration\n\n - Are excited about building cost-effective, burstable infrastructure that enables world-class AI research\n\n - Like operating at a strategic level while staying technically deep enough to validate designs and debug complex issues\n \n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 7+ years of experience in infrastructure engineering, systems architecture, or a senior technical role focused on large-scale infrastructure\n\n - Proven experience designing multi-cloud architectures spanning AWS and at least one other major cloud provider or on-premises environment\n\n - Deep expertise in storage system design -- block, object, and file storage, including performance tuning for large-scale data workloads\n\n - Strong experience with compute orchestration using Kubernetes, and an understanding of how to schedule diverse workloads efficiently\n\n - Hands-on experience with GPU infrastructure -- procurement considerations, cluster design, driver and runtime management\n\n - Track record of capacity planning and infrastructure scaling for high-growth environments\n\n - Ability to communicate complex architectural decisions clearly to both technical and non-technical stakeholders\n\n - Strong understanding of networking fundamentals as they relate to infrastructure architecture (see our Network Engineer role for the deep specialist)\n \n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Direct experience architecting infrastructure for ML training workloads -- distributed training, large dataset management, experiment infrastructure\n\n - Background in cost optimization and FinOps practices for large-scale cloud and bare metal infrastructure\n\n - Experience operating and managing bare metal infrastructure in colocation facilities\n\n - Expertise in network architecture design, including high-bandwidth GPU interconnects and global traffic routing\n\n - Experience with infrastructure modeling and simulation for capacity planning\n\n - Familiarity with Slurm, Ray, or other HPC/ML job scheduling systems\n\n - Understanding of power, cooling, and physical infrastructure considerations for GPU-dense deployments\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"64e2ce69-98cb-46a8-8d6a-9a6779805efe","title":"GM, Sales [APAC]","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Singapore","secondaryLocations":[{"location":"APAC | Remote","address":{"postalAddress":{"addressCountry":"India"}}}],"publishedAt":"2026-04-14T10:10:15.379+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":null,"jobUrl":"https://jobs.ashbyhq.com/deepgram/64e2ce69-98cb-46a8-8d6a-9a6779805efe","applyUrl":"https://jobs.ashbyhq.com/deepgram/64e2ce69-98cb-46a8-8d6a-9a6779805efe/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Opportunity
Deepgram is expanding our team, and we’re seeking a GM Sales to lead an Enterprise and commercial segment of our Account Executive team to drive growth.
This role is both strategic and hands-on. You’ll work with sales leadership to continue optimizing the systems, playbooks, and culture that scale ARR growth, while developing a high-performing team that converts opportunities to long lasting customers. A core part of your mission is building Deepgram’s next generation of sales talent, through world class training, coaching, and structured career development.
You’ll partner closely with Marketing, Sales Leadership, RevOps, Customer Success and Product to align pipeline strategy, leverage modern AI tools to boost productivity, personalization, and team efficiency. Equal parts operator, coach, and builder, you’ll combine data-driven rigor with creativity to shape how Deepgram grows its customer base and sales talent.
What You’ll Do
Scale the Region: Own the APAC/ANZ P&L. Build and execute a strategic roadmap to drive hyper-growth in ARR, from initial land to enterprise-wide expansion.
\"Challenge & Lead\" : Recruit and mentor a high-performance team of Account Executives. Manage a team of Customer Success, Marketing, and Forward Deployed Engineers in a dotted line structure.
You will instill a culture of \"Challenger\" selling—teaching AEs how to disrupt legacy incumbents and lead with technical ROI.
Build the Ecosystem: Identify and sign strategic regional partners, GSIs, and local resellers to act as a force multiplier for Deepgram’s direct sales efforts.
Operational Excellence: Implement rigorous forecasting, pipeline hygiene, and territory management. You will bridge the gap between Singapore and our US HQ to ensure regional product-market fit.
C-Suite Influence: Act as the primary executive sponsor for major regional accounts, navigating complex procurement cycles and technical AI evaluations.
Thrive on building and scaling high-performing teams that consistently beat targets.
Value working with tenured, high-caliber leaders who prioritize clarity, accountability, collaboration and execution.
Enjoy blending data-driven sales operations with creative, human-centered leadership.
Are energized by developing AEs and building a culture of growth and continuous learning.
Believe in the power of AI to transform productivity, and are eager to harness cutting-edge tools to optimize performance.
Are passionate about Deepgram’s mission to redefine what’s possible with speech technology.
It’s Important to Us That You Have
Experience: 12+ years in B2B SaaS sales, with 5+ years in a senior leadership role (Director/VP) overseeing the APAC region, specifically including ANZ and SEA.
The \"Deepgram DNA\": A deep fascination with AI, LLMs, and API-first products. You should be comfortable discussing technical architecture as easily as you discuss revenue targets.
Proven Growth: A track record of scaling a regional office from early traction to high-scale maturity ($10M+ ARR growth experience preferred).
Partnership Prowess: Demonstrable experience building channel programs that significantly contribute to the total revenue mix.
High ASP Focus: Expertise in value-based selling to increase Average Selling Price and win rates in a competitive technical landscape.
Operational Rigor: Deep familiarity with modern sales stacks (Salesforce, Gong, Clari, etc.) and a commitment to data-driven decision-making.
Education: Bachelor’s degree required; MBA or technical degree is a plus.
Experience leading AE organizations at a high-growth, Series B+ startup or scaling tech company.
Background selling developer tools, infrastructure, or AI/ML technologies.
Expertise in building talent development programs or performance coaching frameworks.
Comfort operating in dynamic, fast-moving environments with evolving goals and systems.
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million 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.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nOpportunity\n\nDeepgram is expanding our team, and we’re seeking a GM Sales to lead an Enterprise and commercial segment of our Account Executive team to drive growth.\n\nThis role is both strategic and hands-on. You’ll work with sales leadership to continue optimizing the systems, playbooks, and culture that scale ARR growth, while developing a high-performing team that converts opportunities to long lasting customers. A core part of your mission is building Deepgram’s next generation of sales talent, through world class training, coaching, and structured career development.\n\nYou’ll partner closely with Marketing, Sales Leadership, RevOps, Customer Success and Product to align pipeline strategy, leverage modern AI tools to boost productivity, personalization, and team efficiency. Equal parts operator, coach, and builder, you’ll combine data-driven rigor with creativity to shape how Deepgram grows its customer base and sales talent.\n\nWhat You’ll Do\n\n - Scale the Region: Own the APAC/ANZ P&L. Build and execute a strategic roadmap to drive hyper-growth in ARR, from initial land to enterprise-wide expansion.\n\n - \"Challenge & Lead\" : Recruit and mentor a high-performance team of Account Executives. Manage a team of Customer Success, Marketing, and Forward Deployed Engineers in a dotted line structure.\n You will instill a culture of \"Challenger\" selling—teaching AEs how to disrupt legacy incumbents and lead with technical ROI.\n\n - \n\n - Build the Ecosystem: Identify and sign strategic regional partners, GSIs, and local resellers to act as a force multiplier for Deepgram’s direct sales efforts.\n\n - Operational Excellence: Implement rigorous forecasting, pipeline hygiene, and territory management. You will bridge the gap between Singapore and our US HQ to ensure regional product-market fit.\n\n - C-Suite Influence: Act as the primary executive sponsor for major regional accounts, navigating complex procurement cycles and technical AI evaluations.\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Thrive on building and scaling high-performing teams that consistently beat targets.\n\n - Value working with tenured, high-caliber leaders who prioritize clarity, accountability, collaboration and execution.\n\n - Enjoy blending data-driven sales operations with creative, human-centered leadership.\n\n - Are energized by developing AEs and building a culture of growth and continuous learning.\n\n - Believe in the power of AI to transform productivity, and are eager to harness cutting-edge tools to optimize performance.\n\n - Are passionate about Deepgram’s mission to redefine what’s possible with speech technology.\n\nIt’s Important to Us That You Have\n\n - Experience: 12+ years in B2B SaaS sales, with 5+ years in a senior leadership role (Director/VP) overseeing the APAC region, specifically including ANZ and SEA.\n\n - The \"Deepgram DNA\": A deep fascination with AI, LLMs, and API-first products. You should be comfortable discussing technical architecture as easily as you discuss revenue targets.\n\n - Proven Growth: A track record of scaling a regional office from early traction to high-scale maturity ($10M+ ARR growth experience preferred).\n\n - Partnership Prowess: Demonstrable experience building channel programs that significantly contribute to the total revenue mix.\n\n - High ASP Focus: Expertise in value-based selling to increase Average Selling Price and win rates in a competitive technical landscape.\n\n - Operational Rigor: Deep familiarity with modern sales stacks (Salesforce, Gong, Clari, etc.) and a commitment to data-driven decision-making.\n\n - Education: Bachelor’s degree required; MBA or technical degree is a plus.\n \n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience leading AE organizations at a high-growth, Series B+ startup or scaling tech company.\n\n - Background selling developer tools, infrastructure, or AI/ML technologies.\n\n - Expertise in building talent development programs or performance coaching frameworks.\n\n - Comfort operating in dynamic, fast-moving environments with evolving goals and systems.\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million 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\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"378e83b4-28c0-4b4e-8cf0-9355712bd06d","title":"Billing & Analytics Software Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-21T11:55:37.116+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/378e83b4-28c0-4b4e-8cf0-9355712bd06d","applyUrl":"https://jobs.ashbyhq.com/deepgram/378e83b4-28c0-4b4e-8cf0-9355712bd06d/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.
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 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.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\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\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\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 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\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\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.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"66aa70a5-7de9-4657-a710-6af3dbb4c262","title":"Defense / Edge Tech Lead","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","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.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY\n\nDeepgram'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.\n\nAs 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.\n\nThis 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.\n\n\nWHAT YOU'LL DO\n\n - 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.\n\n - Optimize models for edge and embedded platforms, driving quantization, pruning, distillation, and runtime optimization to meet strict latency, memory, and power constraints.\n\n - 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.\n\n - 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.\n\n - 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.\n\n - 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.\n\n - Benchmark and validate performance across target hardware platforms, establishing repeatable test suites for latency, accuracy, power consumption, and resource utilization.\n\n - Collaborate with Research and Engine teams to influence model architectures toward edge-friendly designs from the start, reducing the optimization burden at deployment time.\n\n - 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.\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - You find deep satisfaction in making a 300M-parameter model run on hardware with 4GB of RAM — and still hit accuracy targets.\n\n - You want to work at the intersection of AI and hardware, where optimization is not optional but existential.\n\n - You are energized by partnerships with hardware companies and enjoy the back-and-forth of getting a model to sing on a new chipset.\n\n - You understand the unique dynamics of defense and government customers and can navigate their requirements without losing engineering velocity.\n\n - You believe that edge AI is the next major deployment frontier, and you want to define how speech AI gets there.\n\n - You prefer working on hard, constrained problems over open-ended research — you want to ship, not just publish.\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 5+ years of experience in systems engineering, embedded computing, or edge AI deployment, with a track record of delivering production systems on constrained hardware.\n\n - Strong proficiency in C, C++, and/or Rust, with experience writing performance-critical code for resource-constrained environments.\n\n - Hands-on experience with model optimization for edge deployment, including quantization, pruning, knowledge distillation, or architecture-specific compilation.\n\n - Familiarity with edge inference runtimes such as ONNX Runtime, TensorRT, TFLite, or vendor-specific SDKs (Qualcomm SNPE/QNN, MediaTek NeuroPilot, etc.).\n\n - Experience with security-conscious development practices, including secure boot, encrypted storage, code signing, and secure deployment pipelines.\n\n - Strong understanding of hardware-software interaction — CPU/GPU/NPU architectures, memory hierarchies, power management, and how they affect model inference performance.\n\n - 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.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - 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.\n\n - Experience with ML model optimization techniques at depth — custom quantization schemes, mixed-precision inference, neural architecture search for edge targets.\n\n - Familiarity with ONNX, TensorRT, or similar model compilation and optimization toolchains and their tradeoffs across hardware targets.\n\n - Defense or govtech industry experience, including familiarity with procurement processes, ITAR, FedRAMP, or DoD software development standards.\n\n - Experience with real-time audio processing on embedded platforms — DSP pipelines, audio codec optimization, or streaming inference on microcontrollers or edge SoCs.\n\n - Background in hardware evaluation and benchmarking — systematically comparing accelerators, SoCs, or GPUs for specific workload profiles.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"f904ff60-f5d1-45c7-8fa2-8456c47b4204","title":"Pre-Sales Solutions Engineer (San Francisco, CA)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-04-15T00:51:05.735+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/f904ff60-f5d1-45c7-8fa2-8456c47b4204","applyUrl":"https://jobs.ashbyhq.com/deepgram/f904ff60-f5d1-45c7-8fa2-8456c47b4204/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Opportunity
Deepgram is 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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nNOTE: THIS INDIVIDUAL MUST BE BASED WITHIN EITHER EASTERN OR PACIFIC TIME IN THE US.\n\nOpportunity\n\nDeepgram 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.\n\n\nLOCATION\n\nThis 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.\n\nThis role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions\n\nAbout Applied Engineering at Deepgram \n\nThe 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.\n\nThis role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions\n\nWhat You’ll Do\n\n - Lead technical discovery and solution design for enterprise prospects and customers\n\n - Architect and implement custom proof-of-concepts and technical demonstrations that address specific customer use cases \n\n - Provide expert guidance on API integration, performance optimization, and deployment strategies \n\n - Partner with Account Executives to navigate technical objections and accelerate the sales cycle \n\n - Contribute to technical content creation including implementation guides, reference architectures, and best practices \n\n - Mentor junior team members and share technical knowledge across the organization\n\n - Represent the voice of the customer to product and engineering teams\n\nYour First 90 Days \n\n - 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.\n \n\n - 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.\n \n\n - 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.\n\nYou’ll Love This Role If You\n\n - Are passionate about translating complex technical capabilities into business value\n\n - Thrive in consultative customer environments where you can showcase your technical expertise \n\n - Enjoy the strategic aspects of enterprise sales cycles while maintaining technical credibility \n\n - Find satisfaction in seeing your technical solutions drive customer adoption and success \n\n - Are energized by staying at the forefront of AI and speech technology\n\nIt’s Important To Us That You Have\n\n - 5+ years of experience in technical pre-sales, solutions architecture, or similar customer-facing technical roles \n\n - Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, or similar languages \n\n - Proven track record of successfully navigating complex technical sales cycles\n\n - Experience building and demonstrating proof-of-concepts or technical solutions to diverse audiences \n\n - Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders\n \n\nIt Would Be Great if You Had \n\n - Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies\n\n - Experience building customer-facing demos and sample code\n\n - Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)\n\n - Experience with API-first products and developer tools \n\n - Background in sales methodologies such as Triangle, MEDDIC, or Solution Selling\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"ae992d89-1bb3-4bea-ae91-0a07043e9756","title":"Senior Data Intelligence Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-15T17:15:32.203+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/ae992d89-1bb3-4bea-ae91-0a07043e9756","applyUrl":"https://jobs.ashbyhq.com/deepgram/ae992d89-1bb3-4bea-ae91-0a07043e9756/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is the foundational AI company for voice. We build the models that allow machines to hear, understand, and speak to humans with zero latency. As we scale our usage-based economy, we are building the \"Intelligence Layer\"—a system of autonomous agents that monitor, reason, and act on our data to drive NRR and operational excellence.
Reporting to the Head of Decision Intelligence, you are the founding engineer of the Data Intelligence team. While the Head of Data sets the strategic \"Brain\" of the company, you build the nervous system. You are not building legacy dashboards; instead you are building the API-based tools, dbt models, and semantic layers that allow AI agents to navigate our data environment autonomously.
Semantic Layer Architecture: Build and maintain high-fidelity dbt and SQL models that serve as the \"ground truth\" for our complex, usage-based revenue models.
Agent Tooling & Integration: Develop the tools and permissions frameworks that allow \"Analyst Agents\" to query Athena, correlate Salesforce churn signals, and identify API latency issues.
Infrastructure Evolution: Serve as the technical bridge to the Engineering/Infra team to ensure our data contracts are \"agent-ready\" and highly reliable.
The \"Unlock Audio Intelligence\" Project: Partner with the Head of Data to ingest thousands of hours of internal calls using Deepgram’s own models, turning unstructured audio into queryable insights for GTM teams.
Automation Obsession: Maintain a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents.
Experience: 5+ years in high-growth Data or AI Engineering roles.
AI-Native Technical Skills: Mastery of SQL and Python (production-grade) with a proven track record of building RAG or Agentic systems on top of structured data.
Usage-Based SaaS Fluency: Familiarity with the metrics of an API-first business, such as consumption patterns, gross margins, and NRR.
Builder Mindset: Comfort with \"work-in-progress\" infrastructure and the ability to turn messy, siloed data into high-impact business logic.
Prior experience as a Software Engineer or Data Engineer.
Experience with real-time billing and consumption systems.
Contributions to open-source data or AI projects.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nABOUT DEEPGRAM\n\nDeepgram is the foundational AI company for voice. We build the models that allow machines to hear, understand, and speak to humans with zero latency. As we scale our usage-based economy, we are building the \"Intelligence Layer\"—a system of autonomous agents that monitor, reason, and act on our data to drive NRR and operational excellence.\n\n\nTHE ROLE\n\nReporting to the Head of Decision Intelligence, you are the founding engineer of the Data Intelligence team. While the Head of Data sets the strategic \"Brain\" of the company, you build the nervous system. You are not building legacy dashboards; instead you are building the API-based tools, dbt models, and semantic layers that allow AI agents to navigate our data environment autonomously.\n\n\nKEY RESPONSIBILITIES\n\n - Semantic Layer Architecture: Build and maintain high-fidelity dbt and SQL models that serve as the \"ground truth\" for our complex, usage-based revenue models.\n\n - Agent Tooling & Integration: Develop the tools and permissions frameworks that allow \"Analyst Agents\" to query Athena, correlate Salesforce churn signals, and identify API latency issues.\n\n - Infrastructure Evolution: Serve as the technical bridge to the Engineering/Infra team to ensure our data contracts are \"agent-ready\" and highly reliable.\n\n - The \"Unlock Audio Intelligence\" Project: Partner with the Head of Data to ingest thousands of hours of internal calls using Deepgram’s own models, turning unstructured audio into queryable insights for GTM teams.\n\n - Automation Obsession: Maintain a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents.\n\n\nREQUIREMENTS\n\n - Experience: 5+ years in high-growth Data or AI Engineering roles.\n\n - AI-Native Technical Skills: Mastery of SQL and Python (production-grade) with a proven track record of building RAG or Agentic systems on top of structured data.\n\n - Usage-Based SaaS Fluency: Familiarity with the metrics of an API-first business, such as consumption patterns, gross margins, and NRR.\n\n - Builder Mindset: Comfort with \"work-in-progress\" infrastructure and the ability to turn messy, siloed data into high-impact business logic.\n\n\nBONUS POINTS\n\n - Prior experience as a Software Engineer or Data Engineer.\n\n - Experience with real-time billing and consumption systems.\n\n - Contributions to open-source data or AI projects.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"be9609b4-b48d-4421-90e5-69049ad0d6ce","title":"Solutions Architect (San Francisco, CA)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-04-16T19:48:00.048+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/be9609b4-b48d-4421-90e5-69049ad0d6ce","applyUrl":"https://jobs.ashbyhq.com/deepgram/be9609b4-b48d-4421-90e5-69049ad0d6ce/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Opportunity
Deepgram is 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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nNOTE: THIS INDIVIDUAL MUST BE BASED WITHIN EITHER EASTERN OR PACIFIC TIME IN THE US.\n\nOpportunity\nDeepgram 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.\n\nLocation\n\nThis 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.\n\nThis role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions\n\n\nAbout Applied Engineering at Deepgram\nThe 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.\n\nWhat You'll Do\n\n - Own complete post-sales customer engagements, providing direct technical guidance and solutions\n\n - Lead the technical resolution of complex customer support issues, serving as an escalation point for challenging technical problems\n\n - Design and implement systematic improvements to our support process and infrastructure\n\n - Create automated solutions and self-service tools that address common customer challenges\n\n - Analyze support ticket patterns to identify product improvement opportunities and preventative measures\n\n - Develop technical documentation, guides, and best practices that enable customers to self-solve issues\n\n - Collaborate with product and engineering teams to advocate for customer needs and influence roadmap priorities\n\n - Partner with the broader Applied Engineering team to share knowledge and balance support workload\n\n - Occasionally assist with implementation projects and pre-sales activities as needed\n\n\nTime Allocation\n\n - 50% - Direct customer engagement and technical problem solving\n\n - 30% - Building automation and scalable support solutions\n\n - 10% - Developing documentation and self-service resources\n\n - 10% - Contributing to broader Applied Engineering initiatives and pre-sales activities\n \n\nYou'll Love This Role If You\n\n - Enjoy direct customer interaction and solving complex technical challenges\n\n - Are passionate about creating scalable solutions that enhance customer experiences\n\n - Find satisfaction in improving systems and processes to increase efficiency\n\n - Have a talent for identifying patterns and translating them into actionable improvements\n\n - Are energized by opportunities to apply engineering principles to customer-facing challenges\n\n - See technical support as a strategic function that drives customer satisfaction and retention\n\n\nIt's Important To Us That You Have\n\n - 3+ years of experience in technical support, solutions engineering, or similar customer-facing technical roles\n\n - 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\n\n - Experience developing automation solutions and improving technical processes\n\n - Proven ability to troubleshoot complex technical issues in production environments\n\n - Excellent written and verbal communication skills with the ability to explain technical concepts clearly\n\n\nIt Would Be Great if You Had\n\n - Experience with speech recognition, NLP, or related AI technologies\n\n - Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)\n\n - Experience with API-first products and developer tools\n\n - Background in support automation techniques and tools\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"e90eefc1-88ec-4d3c-948b-b21c57ef6b18","title":"Engineering Manager, Console Team (Product-Led Growth Strategy)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-24T16:15:31.124+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/e90eefc1-88ec-4d3c-948b-b21c57ef6b18","applyUrl":"https://jobs.ashbyhq.com/deepgram/e90eefc1-88ec-4d3c-948b-b21c57ef6b18/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 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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nOPPORTUNITY\n\nDeepgram 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.\n\nIn the current wave of AI-native development, developer experience is the product. The best infrastructure wins by being the easiest to trust.\n\n\n\nWHAT YOU'LL DO\n\n - 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\n\n - 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\n\n - Oversee technical design, task decomposition, and daily standups to ensure the team is executing on schedule\n\n - 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\n\n - Drive the self-serve growth engine: activation funnels, in-product upgrade flows, and PLG experimentation and self serve deployments.\n\n - Work with other team leads from across the product organization on cross-functional projects, help identify the critical paths, and resolve dependencies\n\n - Hold regular 1-on-1s with direct reports, help them navigate challenges, and coach them for their career development\n \n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Have experience working in early stage startups—from building and scaling to going through fundraising\n\n - Have great communication and leadership skills and the ability to work in a fast-paced environment\n\n - 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\n\n - Think about LLMs, agents, and model APIs as first-class product primitives—not just add-ons\n\n - Have familiarity with hybrid cloud models (bare-metal datacenters and cloud service providers) and scaled databases\n\n - 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\n \n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - A strong technical background building world class user-facing applications\n\n - Proven management and leadership experience\n\n - The ability to drive technical decisions in a scalable and thoughtful manner\n\n - Passion about good engineering practices, emerging technologies, and improving processes\n\n - A consistent record of mentoring and coaching team members\n\n - A passion for navigating the team through the real-world constraints of a startup: how to build quickly, iterate frequently, and run experiments\n \n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience building AI-powered developer tooling—playgrounds, SDK experiences, interactive docs, or evaluation UIs for ML models\n\n - Experience shipping agentic or voice AI integrations—MCP servers, function-calling pipelines, voice assistant SDKs\n\n - Experience driving PLG at a developer-tools company—activation experiments, usage-based pricing instrumentation, upgrade flows\n\n - Experience managing through a fundraising cycle\n\n - An opinionated approach to partnering with product and making timely deliveries\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"78b98232-e0f1-4635-bb78-0303c691d21e","title":"Senior AI Community Engineer","department":"Engineering","team":"Developer Relations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-04-24T20:10:22.493+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/78b98232-e0f1-4635-bb78-0303c691d21e","applyUrl":"https://jobs.ashbyhq.com/deepgram/78b98232-e0f1-4635-bb78-0303c691d21e/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is the leading 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.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\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\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\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.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"b12e1b24-8df5-4900-929f-1d58ef6d4e0e","title":"GTM Engineer","department":"G&A","team":"G&A","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-28T15:31:02.900+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/b12e1b24-8df5-4900-929f-1d58ef6d4e0e","applyUrl":"https://jobs.ashbyhq.com/deepgram/b12e1b24-8df5-4900-929f-1d58ef6d4e0e/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 GTM Engineer to join our RevOps team at a rapidly scaling AI company. This is a hands-on role, focused on executing and improving the systems and processes that power our revenue engine.
You’ll support our go-to-market teams by ensuring accuracy across quoting, billing, usage tracking, and reporting—while proactively identifying ways to make operations more scalable over time.
Support Quote-to-Cash processes, including:
Supporting CPQ workflows to ensure deals are configured and quoted correctly
Reviewing order forms and amendments for accuracy and compliance
Provisioning customer contracts, subscriptions, and usage entitlements into internal systems
Support billing, invoicing, and monetization workflows in partnership with Finance
Reconcile customer usage, billing, and revenue data across CRM, product, and finance systems
Serve as a hands-on Salesforce administrator:
Build and maintain reports and dashboards
Support flows, automations, and system enhancements
Help maintain data quality and governance standards
Triage, prioritize, and execute a wide range of RevOps requests
Proactively identify inefficiencies and manual processes and help implement improvements
Leverage AI tools and automation to increase operational efficiency
Contribute to documentation and scalable RevOps processes as the company grows
3–4+ years of experience in GTM Engineering, Revenue Operations, Sales Operations, or a related role
Strong hands-on Salesforce experience (admin, reporting, flows, automations)
Incredible AI curiosity and capability, using tools like Cursor and Claude to optimize workflows and improve processes.
Experience at a hyper-growth SaaS or AI company.
Experience with CPQ (Salesforce CPQ or similar quoting tools).
Familiarity with contract generation tools (e.g.,DocuSign Gen).
Strong analytical and problem-solving skills with high attention to detail.
Comfort working in ambiguity at a fast-growing startup.
Strong cross-functional communication and stakeholder management skills.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nTHE OPPORTUNITY\n\nDeepgram is hiring a GTM Engineer to join our RevOps team at a rapidly scaling AI company. This is a hands-on role, focused on executing and improving the systems and processes that power our revenue engine.\n\nYou’ll support our go-to-market teams by ensuring accuracy across quoting, billing, usage tracking, and reporting—while proactively identifying ways to make operations more scalable over time.\n\n\nWHAT YOU'LL DO\n\n - Support Quote-to-Cash processes, including:\n \n - Supporting CPQ workflows to ensure deals are configured and quoted correctly\n \n - Reviewing order forms and amendments for accuracy and compliance\n \n - Provisioning customer contracts, subscriptions, and usage entitlements into internal systems\n\n - Support billing, invoicing, and monetization workflows in partnership with Finance\n\n - Reconcile customer usage, billing, and revenue data across CRM, product, and finance systems\n\n - Serve as a hands-on Salesforce administrator:\n \n - Build and maintain reports and dashboards\n \n - Support flows, automations, and system enhancements\n \n - Help maintain data quality and governance standards\n\n - Triage, prioritize, and execute a wide range of RevOps requests\n\n - Proactively identify inefficiencies and manual processes and help implement improvements\n\n - Leverage AI tools and automation to increase operational efficiency\n\n - Contribute to documentation and scalable RevOps processes as the company grows\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - 3–4+ years of experience in GTM Engineering, Revenue Operations, Sales Operations, or a related role\n\n - Strong hands-on Salesforce experience (admin, reporting, flows, automations)\n\n - Incredible AI curiosity and capability, using tools like Cursor and Claude to optimize workflows and improve processes.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience at a hyper-growth SaaS or AI company.\n\n - Experience with CPQ (Salesforce CPQ or similar quoting tools).\n\n - Familiarity with contract generation tools (e.g.,DocuSign Gen).\n\n - Strong analytical and problem-solving skills with high attention to detail.\n\n - Comfort working in ambiguity at a fast-growing startup.\n\n - Strong cross-functional communication and stakeholder management skills.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"f924e637-6bfa-46fc-a05a-b4bcdb176f78","title":"Sales Development Representative, EMEA","department":"Sales","team":"Sales - SDR","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-05-07T11:33:51.984+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{}},"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
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nDeepgram 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!\n\n \n\nWhat You'll Do\n\n - Work with our Partnerships team, Account Executives, and your fellow SDRs to build a strong sales pipeline of new logos, striving to exceed quarterly sales targets\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the ASR space, competition, and Deepgram products to be able to fully articulate our value proposition\n\n - Research companies to find new speech recognition use cases and opportunities in the market\n\n\nYou’ll Love This Role If You\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n - Are eager to launch your sales career towards enterprise sales\n\n\nIt’s Important to Us That You Have\n\n - 1+ year of customer-facing work experience in SaaS\n\n - Prior sales experience selling a technical product\n\n - Dynamic written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Exceptional at prioritizing complex outreach schedules and managing high-frequency touchpoints\n\n\nIt Would Be Great If You Had\n\n - Experience prospecting companies that fit an ideal customer profile and understanding their business\n\n - Consistently overachieved against sales targets in past experiences\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"1d1aff98-8a15-47de-bfe8-5b044964c9d4","title":"Senior Accountant","department":"Finance","team":"Finance","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-05-08T17:58:18.192+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/1d1aff98-8a15-47de-bfe8-5b044964c9d4","applyUrl":"https://jobs.ashbyhq.com/deepgram/1d1aff98-8a15-47de-bfe8-5b044964c9d4/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is hiring a Senior Accountant to support the monthly close and core operational accounting as we scale toward audit readiness and IPO. You'll work directly with the Director of Accounting on a small, scrappy finance team — running the day-to-day work that keeps the close clean, the reconciliations tight, and the books trustworthy.
This is a hands-on, in-the-weeds role. The Director of Accounting owns the close end-to-end; you'll execute on the work that makes it run — preparing reconciliations, posting journal entries, partnering with our offshore AP team, supporting audit requests, and helping improve close mechanics over time. Plenty of room to grow the scope of what you own as you build trust and as the team scales.
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. Senior Accountants here are expected to use AI in their daily close work and to bring tooling instincts that make the work cleaner and faster.
Support monthly, quarterly, and annual GL close — prepare assigned reconciliations, post journal entries, hit close calendar deadlines.
Prepare account reconciliations across cash, accruals, prepaids, fixed assets, intercompany, AP, and others — with documentation that holds up to audit. (AR reconciliations sit with the revenue accounting team.)
Prepare recurring and accrual journal entries with appropriate support; flag cutoff or judgment calls to the Director of Accounting.
Partner with our offshore AP team on day-to-day AP — review their work, handle exceptions and escalations, support vendor onboarding, and prepare AP reconciliations.
Process and review expense reports; support intercompany, fixed asset, and prepaid schedules.
Contribute to flux analysis — pull the variances, draft initial commentary, escalate the unexplained ones to the Director of Accounting.
Support external audit PBC requests — pull the documentation, prepare the schedules, respond to auditor questions on assigned areas.
Follow and help improve the close playbook the Director of Accounting maintains. Suggest improvements; flag what's broken.
Use AI in your daily close work — for reconciliation matching, anomaly detection, JE drafting support, narrative drafts, vendor lookups. Bring back what works to the rest of the team.
Support tax, treasury, and FP&A counterparts on data and reporting needs as requested.
5+ years of progressive accounting experience, including hands-on close cycle experience as a contributor.
Active CPA preferred. Strong public accounting (Big 4 or national firm) foundation a plus.
Solid working fluency in US GAAP at the operational level — accruals, deferrals, capitalization, intercompany, foreign currency, cutoff. Knows when to ask.
A demonstrated AI-native working style — you use LLMs daily for accounting work and can talk concretely about what AI does well and where it falls short for close work. You don't need to have built infrastructure for a team yet, but the instinct should be there.
Comfort vibe-coding small scripts (Python, SQL, Apps Script) for reconciliations, data pulls, and automation. You're not expected to architect systems — you are expected to write the small things that save you and the team hours.
Strong execution habits — careful, organized, finishes what you start.
Strong written and verbal communication — you can write a clean reconciliation memo, ask a clear question, and explain a variance to a non-finance ops leader without losing them.
High integrity, high ownership, low ego.
Prior experience supporting a first external audit.
SaaS or AI startup accounting experience.
Working knowledge of NetSuite, Rillet, FloQast, BlackLine, Ramp, or similar tools — and reasoned views developed through use.
Exposure to multi-entity / international intercompany accounting.
Experience contributing to an ERP migration or close tooling rollout. (Not expected to lead one.)
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nDeepgram is hiring a Senior Accountant to support the monthly close and core operational accounting as we scale toward audit readiness and IPO. You'll work directly with the Director of Accounting on a small, scrappy finance team — running the day-to-day work that keeps the close clean, the reconciliations tight, and the books trustworthy.\n\nThis is a hands-on, in-the-weeds role. The Director of Accounting owns the close end-to-end; you'll execute on the work that makes it run — preparing reconciliations, posting journal entries, partnering with our offshore AP team, supporting audit requests, and helping improve close mechanics over time. Plenty of room to grow the scope of what you own as you build trust and as the team scales.\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. Senior Accountants here are expected to use AI in their daily close work and to bring tooling instincts that make the work cleaner and faster.\n\n\nWHAT YOU'LL DO\n\n - Support monthly, quarterly, and annual GL close — prepare assigned reconciliations, post journal entries, hit close calendar deadlines.\n\n - Prepare account reconciliations across cash, accruals, prepaids, fixed assets, intercompany, AP, and others — with documentation that holds up to audit. (AR reconciliations sit with the revenue accounting team.)\n\n - Prepare recurring and accrual journal entries with appropriate support; flag cutoff or judgment calls to the Director of Accounting.\n\n - Partner with our offshore AP team on day-to-day AP — review their work, handle exceptions and escalations, support vendor onboarding, and prepare AP reconciliations.\n\n - Process and review expense reports; support intercompany, fixed asset, and prepaid schedules.\n\n - Contribute to flux analysis — pull the variances, draft initial commentary, escalate the unexplained ones to the Director of Accounting.\n\n - Support external audit PBC requests — pull the documentation, prepare the schedules, respond to auditor questions on assigned areas.\n\n - Follow and help improve the close playbook the Director of Accounting maintains. Suggest improvements; flag what's broken.\n\n - Use AI in your daily close work — for reconciliation matching, anomaly detection, JE drafting support, narrative drafts, vendor lookups. Bring back what works to the rest of the team.\n\n - Support tax, treasury, and FP&A counterparts on data and reporting needs as requested.\n\n\nWHAT YOU'LL NEED\n\n - 5+ years of progressive accounting experience, including hands-on close cycle experience as a contributor.\n\n - Active CPA preferred. Strong public accounting (Big 4 or national firm) foundation a plus.\n\n - Solid working fluency in US GAAP at the operational level — accruals, deferrals, capitalization, intercompany, foreign currency, cutoff. Knows when to ask.\n\n - A demonstrated AI-native working style — you use LLMs daily for accounting work and can talk concretely about what AI does well and where it falls short for close work. You don't need to have built infrastructure for a team yet, but the instinct should be there.\n\n - Comfort vibe-coding small scripts (Python, SQL, Apps Script) for reconciliations, data pulls, and automation. You're not expected to architect systems — you are expected to write the small things that save you and the team hours.\n\n - Strong execution habits — careful, organized, finishes what you start.\n\n - Strong written and verbal communication — you can write a clean reconciliation memo, ask a clear question, and explain a variance to a non-finance ops leader without losing them.\n\n - High integrity, high ownership, low ego.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Prior experience supporting a first external audit.\n\n - SaaS or AI startup accounting experience.\n\n - Working knowledge of NetSuite, Rillet, FloQast, BlackLine, Ramp, or similar tools — and reasoned views developed through use.\n\n - Exposure to multi-entity / international intercompany accounting.\n\n - Experience contributing to an ERP migration or close tooling rollout. (Not expected to lead one.)\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"2baf2ee6-3cb2-4d86-9623-165a959be79f","title":"Director, Technical Accounting & Financial Reporting","department":"Finance","team":"Finance","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-05-08T18:00:44.126+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/2baf2ee6-3cb2-4d86-9623-165a959be79f","applyUrl":"https://jobs.ashbyhq.com/deepgram/2baf2ee6-3cb2-4d86-9623-165a959be79f/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is hiring a Director, 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.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nDeepgram 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.\n\nThere'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.\n\nAt Deepgram, we expect an AI-first mindset — AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work.\n\n\nWHAT YOU'LL DO\n\n - 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.\n\n - Own GAAP financial statement preparation and footnote disclosures from the ground up, including MD&A and the disclosures required for registration.\n\n - 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.\n\n - 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.\n\n - Own the relationship with valuation specialists on 409As, purchase price allocations, and intangible asset valuations.\n\n - Partner with tax advisors on international transfer pricing and intercompany accounting.\n\n - 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.\n\n - Develop and document accounting policies that are clear, defensible, and scalable.\n\n - Leverage AI aggressively — for research, memo drafting, tie-outs, disclosure benchmarking, and workflow automation — and build your own tooling where it helps.\n\n - Build the team as we scale.\n\n\nWHAT YOU'LL NEED\n\n - Active CPA, with a strong Big 4 or national firm foundation.\n\n - 8+ years of progressive experience in technical accounting and/or financial reporting, with deep fluency in US GAAP.\n\n - 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.\n\n - Experience preparing GAAP financial statements and footnotes from scratch, not just reviewing them.\n\n - Experience managing external auditors and external accounting consultants — you know how to scope, direct, and push back.\n\n - A builder's instinct — comfort with ambiguity, no waiting for playbooks, strong bias to ship.\n\n - 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.\n\n - Strong written and verbal communication — you can translate technical accounting for non-accountants without losing precision.\n\n - Comfort vibe-coding small scripts or automations (Python, SQL, etc.) to accelerate your own work.\n\n - High integrity, high ownership, low ego.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Prior experience preparing a company for its first external audit.\n\n - Prior experience taking a company public (S-1, IPO readiness, first 10-K).\n\n - Capitalized software accounting experience in a SaaS or AI business.\n\n - Experience coordinating with valuation specialists on 409As, PPAs, or intangible asset valuations.\n\n - Exposure to international transfer pricing or intercompany accounting.\n\n - Working knowledge of Workiva, NetSuite, FloQast, or similar tools — and strong opinions about them.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."},{"id":"304ea599-58f3-4e29-b7d4-66564e9e6a92","title":"Director, Tax","department":"Finance","team":"Finance","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-05-08T18:03:19.323+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/304ea599-58f3-4e29-b7d4-66564e9e6a92","applyUrl":"https://jobs.ashbyhq.com/deepgram/304ea599-58f3-4e29-b7d4-66564e9e6a92/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is hiring a Director, 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.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs
Learning / Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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\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\nDeepgram 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.\n\nThere'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.\n\nAt 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.\n\n\nWHAT YOU'LL DO\n\n - 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.\n\n - 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.\n\n - Define and defend US federal tax positions — R&D credit (§41), §174, capitalized software, equity comp deductions, pre-IPO restructuring.\n\n - 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.\n\n - Build the sales and use tax operating model — taxability, nexus monitoring, registrations, returns, exemption certificates. Strong opinions on the right tooling.\n\n - 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.\n\n - 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.\n\n - 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.\n\n - Lay the foundation for public-company tax disclosure and SOX readiness — workflows, controls, and calendars to support 10-K / 10-Q tax footnotes.\n\n - Use AI extensively — research, memo drafting, nexus analysis, transfer pricing benchmarking, peer disclosure scraping, workflow automation — and build your own tooling where it helps.\n\n - Build the team as we scale.\n\n\nWHAT YOU'LL NEED\n\n - Active CPA, JD with tax LLM, or MST. Big 4 or national firm tax foundation.\n\n - 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.\n\n - 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.\n\n - Experience preparing or rebuilding tax provisions, footnotes, and disclosures from scratch — not just reviewing them.\n\n - Experience managing external auditors and tax consultants — scope, direct, push back.\n\n - 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.\n\n - A builder's instinct — comfort with ambiguity, no waiting for playbooks, strong bias to ship.\n\n - AI-native working style — you use LLMs daily and can talk concretely about what they do well and where they fall short for tax.\n\n - Strong written and verbal communication — you can translate tax for non-tax stakeholders without losing precision.\n\n - High integrity, high ownership, low ego.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Prior experience preparing a company for its first external audit and S-1 / IPO.\n\n - Prior experience standing up an in-house tax function at a high-growth company.\n\n - SaaS or AI-business tax experience — capitalized software, sales tax for SaaS, customer-base international expansion.\n\n - Multi-state employee mobility, RSU/ISO equity-comp tax mobility, and §83(b) coordination at scale.\n\n - Working knowledge of provision tools (OneSource, Corptax, Longview), sales tax engines (Avalara, Anrok, Vertex), and research platforms — and strong opinions about them.\n\n\nBENEFITS & PERKS*\n\n\nHOLISTIC HEALTH\n\n - Medical, dental, vision benefits\n\n - Annual wellness stipend\n\n - Mental health support\n\n - Life, STD, LTD Income Insurance Plans\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - Generous paid parental leave\n\n - Flexible schedule\n\n - 12 Paid US company holidays\n\n - Quarterly personal productivity stipend\n\n - One-time stipend for home office upgrades\n\n - 401(k) plan with company match\n\n - Tax Savings Programs\n\n\nCONTINUOUS LEARNING\n\n - Learning / Education stipend\n\n - Participation in talks and conferences\n\n - Employee Resource Groups\n\n - AI enablement workshops / sessions\n\n*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.\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."}],"apiVersion":"1"}