Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Note: This is a remote role based in Pacific Time, with a preference for candidates located in San Francisco.
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you're not excited to experiment, adapt, think on your feet, and learn constantly, or if you're seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is scaling fast and our design practice must keep pace. We're looking for a Staff Product Designer who can ship world-class work across our most critical surfaces and, over time, transform how design operates inside the company. You'll frame problems across multiple product teams — developer workflows, evaluator journeys, and the interplay between them — co-author strategy with Product leadership, and own business outcomes. Voice AI is still defining its interaction patterns. You'll be inventing, not iterating.
Your first chapter: design system evolution and the product surfaces where design impact is most needed. As you build context and the team grows, your scope expands into broader practice transformation.
You'll report directly to the Director of Product Design. This is a Staff IC role — you'll raise the bar through craft, operational thinking, and durable enablement that lets a small team deliver outsized impact. You won't have direct reports initially, but as the team grows, this role has a natural path into people leadership. You're opinionated, instinct-driven, and move decisively when the path isn't clear.
Set the standard for end-to-end design quality across high-stakes surfaces — experience-driven, enterprise-grade, AI observability, and agent interfaces — from early concepts through production
Design for the full complexity of our domain: developer workflows, API and SDK experiences, and evaluator journeys — accounting for user needs, technical constraints, and business viability
Deliver interaction design and prototypes at a level of craft that sets the standard for the team
Drive our design system from AI-ready to AI-native — embedding AI into how the team designs, generates components, and maintains systems, with measurable improvements in speed, quality, and coherence
Shape what the team needs to learn and how it learns — establishing the research practices, insight architecture, and knowledge-sharing rhythms that ensure design decisions are grounded in evidence, not assumption
Set and uphold a high bar for execution across teams — faster cycles, higher quality, greater coherence across surfaces
Elevate how the team operates — sharpening how we brief work, share insights, make decisions visible, and hold cross-team initiatives to outcomes
Partner with cross-functional leadership to shape strategy, orchestrate initiatives, and build alignment
Mentor designers and contribute to hiring — elevating craft, sharpening problem framing, and establishing the quality bar that lets us scale
Get energized by being foundational — building from scratch and defining what \"good\" looks like for a growing design team
Thrive in ambiguity and define the approach, not just answer the request
Want to work across B2C, enterprise, and AI infrastructure surfaces — a breadth most designers never get in one role
See design as a strategic lever for business outcomes, not a service function
Are excited by a category still defining its interaction patterns — where the work is invention, not iteration
We care more about expertise and leadership than years of experience.
Exceptional craft across UI, interaction design, and prototyping — you make technically complex surfaces feel considered, ground your direction in research insights, and use prototyping as a thinking tool
A track record of driving cross-functional initiatives that reshaped how design operates in a product organization
Deep experience building and scaling design systems, with a point of view on how AI changes the relationship between systems, components, and production code
Strong business acumen — you connect your work to measurable outcomes at every level
Experience designing for developers or technical users — APIs, SDKs, documentation, and console workflows, not just UI
People leadership potential — you may not manage today, but you influence through craft, operational thinking, and earned trust
Experience designing for real-time, latency-sensitive, or multimodal experiences — voice, streaming, conversational AI, or audio products
Comfort designing for probabilistic systems — confidence levels, fallback states, graceful degradation
Background in high-growth B2B companies with both self-serve and enterprise motions
Familiarity with AI observability, usage analytics, or API management surfaces
Experience leading design system migrations or establishing governance at scale
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nNote: This is a remote role based in Pacific Time, with a preference for candidates located in San Francisco.\n\n\n\n\nCOMPANY OVERVIEW\n\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance.\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 scaling fast and our design practice must keep pace. We're looking for a Staff Product Designer who can ship world-class work across our most critical surfaces and, over time, transform how design operates inside the company. You'll frame problems across multiple product teams — developer workflows, evaluator journeys, and the interplay between them — co-author strategy with Product leadership, and own business outcomes. Voice AI is still defining its interaction patterns. You'll be inventing, not iterating.\n\nYour first chapter: design system evolution and the product surfaces where design impact is most needed. As you build context and the team grows, your scope expands into broader practice transformation.\n\nYou'll report directly to the Director of Product Design. This is a Staff IC role — you'll raise the bar through craft, operational thinking, and durable enablement that lets a small team deliver outsized impact. You won't have direct reports initially, but as the team grows, this role has a natural path into people leadership. You're opinionated, instinct-driven, and move decisively when the path isn't clear.\n\n\n\n\nWHAT YOU'LL DO\n\n - Set the standard for end-to-end design quality across high-stakes surfaces — experience-driven, enterprise-grade, AI observability, and agent interfaces — from early concepts through production\n\n - Design for the full complexity of our domain: developer workflows, API and SDK experiences, and evaluator journeys — accounting for user needs, technical constraints, and business viability\n\n - Deliver interaction design and prototypes at a level of craft that sets the standard for the team\n\n - Drive our design system from AI-ready to AI-native — embedding AI into how the team designs, generates components, and maintains systems, with measurable improvements in speed, quality, and coherence\n\n - Shape what the team needs to learn and how it learns — establishing the research practices, insight architecture, and knowledge-sharing rhythms that ensure design decisions are grounded in evidence, not assumption\n\n - Set and uphold a high bar for execution across teams — faster cycles, higher quality, greater coherence across surfaces\n\n - Elevate how the team operates — sharpening how we brief work, share insights, make decisions visible, and hold cross-team initiatives to outcomes\n\n - Partner with cross-functional leadership to shape strategy, orchestrate initiatives, and build alignment\n\n - Mentor designers and contribute to hiring — elevating craft, sharpening problem framing, and establishing the quality bar that lets us scale\n \n \n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Get energized by being foundational — building from scratch and defining what \"good\" looks like for a growing design team\n\n - Thrive in ambiguity and define the approach, not just answer the request\n\n - Want to work across B2C, enterprise, and AI infrastructure surfaces — a breadth most designers never get in one role\n\n - See design as a strategic lever for business outcomes, not a service function\n\n - Are excited by a category still defining its interaction patterns — where the work is invention, not iteration\n \n \n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\nWe care more about expertise and leadership than years of experience.\n\n - Exceptional craft across UI, interaction design, and prototyping — you make technically complex surfaces feel considered, ground your direction in research insights, and use prototyping as a thinking tool\n\n - A track record of driving cross-functional initiatives that reshaped how design operates in a product organization\n\n - Deep experience building and scaling design systems, with a point of view on how AI changes the relationship between systems, components, and production code\n\n - Strong business acumen — you connect your work to measurable outcomes at every level\n\n - Experience designing for developers or technical users — APIs, SDKs, documentation, and console workflows, not just UI\n\n - People leadership potential — you may not manage today, but you influence through craft, operational thinking, and earned trust\n \n \n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience designing for real-time, latency-sensitive, or multimodal experiences — voice, streaming, conversational AI, or audio products\n\n - Comfort designing for probabilistic systems — confidence levels, fallback states, graceful degradation\n\n - Background in high-growth B2B companies with both self-serve and enterprise motions\n\n - Familiarity with AI observability, usage analytics, or API management surfaces\n\n - Experience leading design system migrations or establishing governance at scale\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"072271ea-2006-47af-8c4f-e8f9e54daa11","title":"Senior Director, Accounting","department":"Finance","team":"Finance","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-06-03T21:19:55.599+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/072271ea-2006-47af-8c4f-e8f9e54daa11","applyUrl":"https://jobs.ashbyhq.com/deepgram/072271ea-2006-47af-8c4f-e8f9e54daa11/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
The Opportunity
We're hiring our Senior Director of Accounting to lead the operational accounting function as Deepgram scales toward IPO. Reporting to — and working alongside — the Chief Accounting Officer, you'll lead the team that runs the monthly close, the general ledger, every sub-ledger (AP, AR, payroll), and the accounting systems — including the migration off Xero onto the platform we select for the next phase.
This is a senior leadership seat in a function being built in real time. We've never been audited. We're on a small-business ERP. The team is intentionally lean. The 18 months ahead require an accounting leader who has stood up the operational accounting function at first-audit, pre-IPO companies before — not someone who has only stewarded one.
You'll work in close partnership with an operationally engaged CAO. The CAO owns audit firm selection, the partner-level audit relationship, and treasury, and remains hands-on across close, ERP, and technical accounting partnership. You'll lead the team, lead the system, own delivery — and as the function matures, scale into broader scope.
What you'll do
Lead the operational accounting function. Monthly and quarterly close, GL integrity, sub-ledger architecture, and the systems that run them. Design the function for first-audit and the year that follows.
Lead the ERP migration. Partner with the CAO on platform selection (NetSuite, Rillet, Everest, and others under evaluation), then lead implementation end-to-end.
Lead the team. Operational accounting — close/GL, AP, AR, payroll, accounting systems. Develop the managers under you. Hire the layer beneath them. Set the bar for the function.
Operationalize technical accounting in partnership with the Director, Technical Accounting. Instrument the GL and sub-ledgers for ASC 718, 606, 842, 340, and 805. You don't write policy; you build the system that makes it executable.
Deliver Year-1 audit operationally. Stand up PBC delivery. Codify accounting policies in the system. Defend the opening balance sheet. The CAO owns the partner relationship; you own the system that delivers fieldwork.
Build the SOX control environment. Design the operational control perimeter from scratch, ahead of IPO. Effective, not heavy.
Lead the AI-native transformation of operational accounting. The system should get easier as the company grows.
Scale with the function. As scope expands, take on broader accounting leadership — succession planning, cross-functional finance partnership, board-level support to the CAO.
It would be great if you had
12+ years of accounting experience, with at least 6 in a senior operating role at a high-growth company. Pre-IPO or recently public is ideal.
Experience taking a company through its first audit — not its first audit at a new firm, its first ever.
Direct experience leading an ERP migration end-to-end at meaningful scale.
Track record of designing an operational accounting function — not just running one. You've made the architecture choices that shape what the team becomes.
Operational fluency in ASC 718, 606, and 842 — not policy authorship, but knowing what the GL and sub-ledgers need to deliver.
Experience standing up SOX from scratch.
Demonstrable AI-native practice you've built into a real accounting function — your team using AI daily, not just you.
Experience managing managers and developing senior leaders underneath you. Multi-entity exposure relevant as our footprint grows.
CPA preferred, not required.
Why join
This seat is one of the most leveraged operational accounting roles you will ever hold. You'll work alongside an engaged CAO to design a function that doesn't fully exist yet, lead the ERP migration that defines how it operates, take this company through its first audit, and stand up the controls that get us to IPO. The team is intentionally lean — the bar for hires is correspondingly high. The right candidate grows with the scope.
Deepgram is an Equal Opportunity Employer.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nThe Opportunity\n\nWe're hiring our Senior Director of Accounting to lead the operational accounting function as Deepgram scales toward IPO. Reporting to — and working alongside — the Chief Accounting Officer, you'll lead the team that runs the monthly close, the general ledger, every sub-ledger (AP, AR, payroll), and the accounting systems — including the migration off Xero onto the platform we select for the next phase.\n\nThis is a senior leadership seat in a function being built in real time. We've never been audited. We're on a small-business ERP. The team is intentionally lean. The 18 months ahead require an accounting leader who has stood up the operational accounting function at first-audit, pre-IPO companies before — not someone who has only stewarded one.\n\nYou'll work in close partnership with an operationally engaged CAO. The CAO owns audit firm selection, the partner-level audit relationship, and treasury, and remains hands-on across close, ERP, and technical accounting partnership. You'll lead the team, lead the system, own delivery — and as the function matures, scale into broader scope.\n\n\n\nWhat you'll do\n\n - Lead the operational accounting function. Monthly and quarterly close, GL integrity, sub-ledger architecture, and the systems that run them. Design the function for first-audit and the year that follows.\n\n - Lead the ERP migration. Partner with the CAO on platform selection (NetSuite, Rillet, Everest, and others under evaluation), then lead implementation end-to-end.\n\n - Lead the team. Operational accounting — close/GL, AP, AR, payroll, accounting systems. Develop the managers under you. Hire the layer beneath them. Set the bar for the function.\n\n - Operationalize technical accounting in partnership with the Director, Technical Accounting. Instrument the GL and sub-ledgers for ASC 718, 606, 842, 340, and 805. You don't write policy; you build the system that makes it executable.\n\n - Deliver Year-1 audit operationally. Stand up PBC delivery. Codify accounting policies in the system. Defend the opening balance sheet. The CAO owns the partner relationship; you own the system that delivers fieldwork.\n\n - Build the SOX control environment. Design the operational control perimeter from scratch, ahead of IPO. Effective, not heavy.\n\n - Lead the AI-native transformation of operational accounting. The system should get easier as the company grows.\n\n - Scale with the function. As scope expands, take on broader accounting leadership — succession planning, cross-functional finance partnership, board-level support to the CAO.\n\nIt would be great if you had\n\n - 12+ years of accounting experience, with at least 6 in a senior operating role at a high-growth company. Pre-IPO or recently public is ideal.\n\n - Experience taking a company through its first audit — not its first audit at a new firm, its first ever.\n\n - Direct experience leading an ERP migration end-to-end at meaningful scale.\n\n - Track record of designing an operational accounting function — not just running one. You've made the architecture choices that shape what the team becomes.\n\n - Operational fluency in ASC 718, 606, and 842 — not policy authorship, but knowing what the GL and sub-ledgers need to deliver.\n\n - Experience standing up SOX from scratch.\n\n - Demonstrable AI-native practice you've built into a real accounting function — your team using AI daily, not just you.\n\n - Experience managing managers and developing senior leaders underneath you. Multi-entity exposure relevant as our footprint grows.\n\n - CPA preferred, not required.\n\nWhy join\n\nThis seat is one of the most leveraged operational accounting roles you will ever hold. You'll work alongside an engaged CAO to design a function that doesn't fully exist yet, lead the ERP migration that defines how it operates, take this company through its first audit, and stand up the controls that get us to IPO. The team is intentionally lean — the bar for hires is correspondingly high. The right candidate grows with the scope.\n\nDeepgram is an Equal Opportunity Employer.\n\n\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nOpportunity:\n\nDeepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s 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\n\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\n\n\nYou’ll Love This Role If You\n\n - Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity\n\n - Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work\n\n\n\nIt’s Important To Us That You Have\n\n - 3+ years of experience in an industry role\n\n - Programming experience in Rust (or C, C++), with competence in Python\n\n - Excellent communication and organizational skills, both written and verbal.\n\n - A high level of experience and understanding of version control; preferably git.\n\n - Comprehensive experience with UNIX-style systems.\n\n\n\nIt Would Be Great if You Had\n\n - Experience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformers\n\n - Experience with audio processing\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nNote: this role is based out of India and will service the APAC region.\n\n\n\nOpportunity\n\nDeepgram is expanding across APAC and operating a follow-the-sun model. We are hiring a Pre-Sales Solutions Engineer in India to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long term across discovery, POC, production launch, and expansion. You will focus on pre-sales, and you will often step into post-sales style work when the stakes are high and continuity matters.\n\n\n\n\nABOUT APPLIED ENGINEERING AT DEEPGRAM\n\nApplied Engineering blends what many companies split into Solutions Engineering, Architecture, Consulting, and Senior Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.\n\n\n\n\nWHAT YOU WILL DO\n\n - Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.\n\n - Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.\n\n - Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs.\n\n - Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.\n\n - Run security and compliance threads common in APAC. Prepare crisp responses for Singapore PDPA, Japan APPI, Korea PIPA, Australia’s Privacy Act, and India’s DPDP Act.\n\n - Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.\n\n - Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.\n\n - Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.\n\n - Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.\n\n\n\n\nREGIONAL EXPECTATIONS\n\n - Based in an APAC time zone with strong overlap to customer business hours across East Asia, Southeast Asia, and ANZ.\n\n - Excellent written and spoken English. Additional Asian languages are a strong plus, especially Japanese, Korean, Mandarin, or Hindi.\n\n - Familiarity with procurement, InfoSec, and data privacy expectations across APAC.\n\n - Ability to travel within the region for key customer milestones. Estimated travel 10 to 20 percent.\n\n\n\n\nYOUR FIRST 90 DAYS\n\nRamp approach for this role Ramping mirrors the Solutions Architect plan, with explicit ticket work and earlier support for strategic Account Executives. In the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active evaluations.\n\nFirst 30 days\n\n - Ramp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.\n\n - Shadow strategic discovery and POC calls across APAC time zones.\n\n - Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.\n\n - Publish one internal field guide that clarifies a common APAC pre-sales topic (for example data residency, telephony capture, or evaluation metrics).\n\nBy day 60\n\n - Own two evaluations end to end with defined success criteria and timelines.\n\n - Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection-handling packs.\n\n - Take point on higher-signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.\n\n - Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.\n\nBy day 90\n\n - Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.\n\n - Close at least one complex technical win with a measurable impact on revenue.\n\n - Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.\n\n - Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.\n\n\n\n\nYOU WILL THRIVE HERE IF YOU\n\n - Enjoy the mix of customer conversations and hands-on building.\n\n - Can move from whiteboard to working code and back without losing the thread.\n\n - Communicate clearly with executives and deeply with engineers.\n\n - Value speed with rigor and crisp documentation.\n\n - Like winning together across regions and functions.\n\n\nMINIMUM QUALIFICATIONS\n\n - 5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.\n\n - Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.\n\n - Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.\n\n - Proven track record leading POCs for enterprise customers and earning the technical win.\n\n - Clear written and verbal communication across both technical and executive audiences.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.\n\n - Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.\n\n - Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.\n\n - Strong understanding of authentication, authorization, and data residency topics that appear in APAC enterprise reviews.\n\n - Fluency in an additional Asian language such as Japanese, Korean, Mandarin, or Hindi.\n\n\n\n\nHOW WE WORK\n\n - Remote across APAC with periodic regional meetups.\n\n - Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across APAC, EMEA, and the Americas.\n\n - Shared playbooks, defined escalation paths, and measurable SLAs.\n\n\n\n\nINTERVIEW PROCESS\n\n - Recruiter screen focused on experience, motivations, and logistics.\n\n - Hiring manager conversation focused on technical depth and customer impact.\n\n - Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.\n\n - Panel interviews with cross-functional partners.\n\n - Live demo and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.\n\nIf this sounds like you, we would love to meet you!\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"1395ef4d-883a-4006-85a1-4e7d44623431","title":"Pre-Sales Solutions Engineer (EST or PST)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-04-14T13:57:44.092+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/1395ef4d-883a-4006-85a1-4e7d44623431","applyUrl":"https://jobs.ashbyhq.com/deepgram/1395ef4d-883a-4006-85a1-4e7d44623431/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.
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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nNOTE: THIS INDIVIDUAL MUST BE BASED WITHIN EITHER EASTERN OR PACIFIC TIME IN THE US.\n\n\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\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\n\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 \n \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 \n \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\n\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is hiring a Senior 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\n\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\n\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\n\n\nWHAT YOU'LL DO\n\n\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\n\n\nWHAT YOU'LL NEED\n\n\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\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is hiring a Director, 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\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 \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 \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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOPPORTUNITY\n\nDeepgram is seeking a Senior Applied Engineer to join our Applied Engineering team, operating in the 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\n\n\nNOTE: THIS ROLE IS BASED REMOTELY OUT OF THE WASHINGTON D.C. METROPOLITAN AREA.\n\n\n\n\nABOUT APPLIED ENGINEERING AT DEEPGRAM\n\nThe Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Sales Engineering, Solutions Architecture, Implementation, Forward-Deployed Engineering, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Relations (DevRel) teams to ensure a positive, growth-focused experience for our customers, as well as with Product and Engineering teams to deliver solutions that meet customer needs. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers.\n\nAs a Senior Applied Engineer operating in the FDE role for federal engagements, you'll work with a high degree of autonomy in customer environments that often have unique infrastructure constraints, compliance requirements, and security considerations. Your work will directly shape how federal agencies leverage Voice AI to achieve their missions.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own technical delivery across federal deployments, from first prototype to stable production\n\n - Embed deeply with federal customers to design and build mission-critical applications powered by Deepgram's Voice AI models\n\n - Lead technical discovery and solution design for federal prospects and customers, partnering with Account Executives to navigate complex government sales and procurement cycles\n\n - Prototype and build full-stack integrations using Python, JavaScript, Rust, or comparable stacks that deliver real mission impact\n\n - Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications\n\n - Proactively guide federal stakeholders on maximizing operational value from Deepgram's platform, including performance optimization and deployment strategies\n\n - Scope work, sequence delivery, and remove blockers early, making deliberate trade-offs between scope, speed, and quality\n\n - Build and manage relationships with customer leadership and technical stakeholders to ensure successful deployment and scale\n\n - Contribute directly to code when clarity or momentum depends on it\n\n - Codify working patterns into tools, playbooks, reference architectures, and building blocks the broader team can use\n\n - Share field feedback with Product and Engineering to influence model and product development\n\n - Serve as an escalation point for complex technical issues in federal deployments\n\n - Analyze deployment patterns to identify product improvement opportunities and inform Deepgram's federal go-to-market strategy\n\n\nTIME ALLOCATION\n\n - 40% — Embedded customer delivery: deployments, integrations, and technical problem-solving at federal customer sites and facilities\n\n - 25% — Pre-sales technical engagement: discovery, demos, proof-of-concepts, and proposal support\n\n - 20% — Building reusable solutions, automation, documentation, and reference architectures\n\n - 15% — Internal collaboration: product feedback, knowledge sharing, and contributing to Applied Engineering strategy\n \n \n\n\nYOUR FIRST 90 DAYS\n\nFirst 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Gain proficiency with our core APIs and documentation. Shadow active customer engagements across both commercial and federal accounts to build familiarity with how the Applied Engineering team operates, the deployment patterns we use, and the specific requirements of government environments.\n\n60 Days: Begin taking ownership of federal customer engagements, leading technical discovery and developing proof-of-concepts for government prospects. Start contributing to federal-specific technical content, reference architectures, and deployment guides. Participate in sales strategy sessions and provide technical insights on active federal deals.\n\n90 Days: Own the full technical relationship with assigned federal accounts. Develop and deliver complex solutions addressing specific mission challenges. Establish patterns for repeatable federal deployments and begin contributing to the team's federal go-to-market methodology.\n\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Thrive in high-ambiguity, mission-driven environments where you need to move fast and make sound decisions under pressure\n\n - Are passionate about translating complex technical capabilities into real operational value for government missions\n\n - Enjoy embedding deeply with customers, building trust, and becoming their go-to technical partner\n\n - Find satisfaction in shipping production systems that make a tangible difference\n\n - Are energized by the challenge of deploying cutting-edge Voice AI in complex, constrained environments\n\n - See yourself as an engineer first who happens to be great with customers, not the other way around\n\n - Can ruthlessly prioritize across multiple projects and operate with high autonomy\n\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Active Top Secret/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\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is hiring a Director, 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\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 \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 \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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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, preferably in Rust, and in at least one of: Python, TypeScript/Node.js, Go, or similar. Comfort working across the stack when needed.
Deep experience with relational databases (PostgreSQL, MySQL) and data pipeline design—schema modeling, query optimization, and high-volume event processing.
Hands-on experience integrating with billing or subscription platforms (e.g., Stripe, M3ter, Metronome, Chargebee, Zuora) and CRM systems (Salesforce).
Understanding of usage-based pricing models, metering patterns, and the edge cases that come with them (proration, overages, commitments, credits, multi-currency).
Experience building reconciliation and data integrity systems that ensure financial accuracy at scale.
Strong communication skills—you can partner effectively with Finance, RevOps, Product, and Growth teams to translate business requirements into reliable systems.
A security-conscious mindset, especially around authentication, token management, and access control.
Experience with usage-based billing platforms (M3ter, Metronome) specifically, or building custom metering systems from scratch.
Familiarity with product-led growth (PLG) patterns: self-serve signup, usage gating, upgrade flows, and conversion instrumentation.
Experience with event-driven architectures (Kafka, SQS, Pub/Sub) for high-throughput usage event processing.
Background in revenue operations, revenue recognition (ASC 606), or SOX-relevant billing controls.
Experience with analytics/BI tooling (Looker, Metabase, dbt) and building internal data products.
Prior work at a company where billing accuracy directly impacted customer trust and revenue at scale.
Deepgram’s growth is powered by a usage-based model where customers pay for what they consume. Every usage event, every invoice, every plan upgrade flows through the systems this role owns. As Billing & Analytics Engineer, you’ll ensure that Deepgram gets paid accurately and on time, that customers have full visibility into their consumption, and that internal teams have the financial data they need to scale the business. By creating a dedicated billing engineering function, this role directly enables the Console and PLG teams to move faster on product innovation without billing complexity as a bottleneck.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nABOUT THE ROLE\n\nAs a Billing & Analytics Engineer on the Console & Analytics team, you will own the systems that turn Deepgram’s raw API usage into accurate invoices, revenue-grade analytics, and the self-service billing experience our customers depend on. This is the financial backbone of a high-growth AI company: every dollar of revenue flows through the code you build and maintain.\n\nYou will design and operate the full billing pipeline—from usage event ingestion and metering through aggregation, rating, invoicing, and integration with third-party billing and CRM platforms. You’ll also own the analytics surfaces that give customers visibility into their consumption and give internal teams the data they need to operate the business. This role pulls billing and analytics engineering out of the broader Console team, creating a dedicated function that insulates and accelerates Deepgram’s product-led growth (PLG) effort.\n\n\n\n\nWHAT YOU’LL DO\n\nUsage Metering & Event Processing: Design, build, and maintain the pipeline that ingests, validates, and processes usage messages from Deepgram’s inference and voice agent services. Ensure events are captured with sub-second reliability at scale, with idempotency and exactly-once semantics to guarantee billing accuracy.\n\nUsage Aggregation & Summarization: Build the aggregation layer that rolls raw usage events into usage summaries—by customer, product, time window, and pricing dimension. Optimize for query performance so that both real-time dashboards and end-of-period billing runs operate within SLA.\n\nBilling System Integration: Own the integration with usage-based billing platforms (M3ter, Metronome, or equivalent). Implement rating, plan management, and invoice generation logic. Ensure billing data reconciles cleanly with usage records and that edge cases (overages, credits, mid-cycle plan changes, enterprise commitments) are handled correctly.\n\nCRM & RevOps Integration: Build and maintain integrations with Salesforce and RevOps tooling to synchronize customer accounts, contract terms, entitlements, and billing status. Partner with Finance and RevOps to ensure billing data supports revenue recognition, forecasting, and audit requirements.\n\nConsole Billing Experience: Develop the customer-facing billing and usage views within the Deepgram Console. Build clear, actionable dashboards that show real-time and historical usage, current spend, billing history, and plan details. Design the self-service flows for plan upgrades, payment method management, and invoice retrieval.\n\nIn-DC Access, Permissions & Token Management: Own the billing-adjacent authorization surfaces: API key and token management, usage-based access controls, entitlement enforcement, and the permission model that gates feature access based on customer plan and billing status. Ensure these systems are secure, auditable, and performant.\n\nAnalytics & Reporting: Build internal analytics pipelines and dashboards that surface usage trends, cohort behavior, conversion funnels, and revenue metrics to Product, Growth, and Finance teams. Instrument the billing system for operational observability—alerting on anomalies, reconciliation failures, and SLA breaches.\n\nData Integrity & Reconciliation: Implement automated reconciliation between usage events, aggregated summaries, billing records, and payment processor data. Build alerting and self-healing mechanisms to catch and resolve discrepancies before they impact customers or revenue reporting.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - 5+ years of experience building and operating billing, payments, metering, or financial data systems in a SaaS or usage-based pricing environment.\n\n - Strong backend engineering skills, preferably in Rust, and in at least one of: Python, TypeScript/Node.js, Go, or similar. Comfort working across the stack when needed.\n\n - Deep experience with relational databases (PostgreSQL, MySQL) and data pipeline design—schema modeling, query optimization, and high-volume event processing.\n\n - Hands-on experience integrating with billing or subscription platforms (e.g., Stripe, M3ter, Metronome, Chargebee, Zuora) and CRM systems (Salesforce).\n\n - Understanding of usage-based pricing models, metering patterns, and the edge cases that come with them (proration, overages, commitments, credits, multi-currency).\n\n - Experience building reconciliation and data integrity systems that ensure financial accuracy at scale.\n\n - Strong communication skills—you can partner effectively with Finance, RevOps, Product, and Growth teams to translate business requirements into reliable systems.\n\n - A security-conscious mindset, especially around authentication, token management, and access control.\n \n \n\n\nNICE TO HAVE\n\n - Experience with usage-based billing platforms (M3ter, Metronome) specifically, or building custom metering systems from scratch.\n\n - Familiarity with product-led growth (PLG) patterns: self-serve signup, usage gating, upgrade flows, and conversion instrumentation.\n\n - Experience with event-driven architectures (Kafka, SQS, Pub/Sub) for high-throughput usage event processing.\n\n - Background in revenue operations, revenue recognition (ASC 606), or SOX-relevant billing controls.\n\n - Experience with analytics/BI tooling (Looker, Metabase, dbt) and building internal data products.\n\n - Prior work at a company where billing accuracy directly impacted customer trust and revenue at scale.\n \n \n\n\nWHY THIS ROLE MATTERS\n\nDeepgram’s growth is powered by a usage-based model where customers pay for what they consume. Every usage event, every invoice, every plan upgrade flows through the systems this role owns. As Billing & Analytics Engineer, you’ll ensure that Deepgram gets paid accurately and on time, that customers have full visibility into their consumption, and that internal teams have the financial data they need to scale the business. By creating a dedicated billing engineering function, this role directly enables the Console and PLG teams to move faster on product innovation without billing complexity as a bottleneck.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"39c2b79b-0269-4711-9354-be5ccf747a98","title":"Research Staff, LLMs","department":"Research","team":"Research","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"Ann Arbor, MI","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Ann Arbor, MI"}}},{"location":"Global | Remote (NA / LATAM / EMEA / APAC)","address":{"postalAddress":{}}}],"publishedAt":"2026-05-18T06:09:05.106+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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.\n\n\n\nTHE ROLE\n\nDeepgram is currently looking for an experienced researcher to who has worked extensively with Large Language Models (LLMS) and has a deep understanding of transformer architecture to join our Research Staff. As a Member of the Research Staff, this individual should have extensive experience working on the hard technical aspects of LLMs, such as data curation, distributed large-scale training, optimization of transformer architecture, and Reinforcement Learning (RL) training.\n\n\n\n\nTHE CHALLENGE\n\nWe are seeking researchers who:\n\n - See \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\n - Can identify the one critical experiment that will validate or kill an idea in days, not months\n\n - Have the vision to scale successful proofs-of-concept 100x\n\n - Are obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\n\n\n\n\nWHAT YOU'LL DO\n\n - Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives\n\n - Broad surveying of literature, evaluating, classifying, and distilling current methods\n\n - Designing and carrying out experimental programs for LLMs\n\n - Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production\n\n - Documenting and presenting results and complex technical concepts clearly for a target audience\n\n - Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products\n\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are passionate about AI and excited about working on state of the art LLM research\n\n - Have an interest in producing and applying new science to help us develop and deploy large language models\n\n - Enjoy building from the ground up and love to create new systems.\n\n - Have strong communication skills and are able to translate complex concepts clearly\n\n - Are highly analytical and enjoy delving into detailed analyses when necessary\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism\n\n - Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning\n\n - Strong experience coding in Python and working with Pytorch\n\n - Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)\n\n - Experience with distributed computing and large-scale data processing\n\n - Prior experience in conducting experimental programs and using results to optimize models\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Deep understanding of transformers, causal LMs, and their underlying architecture\n\n - Understanding of distributed training and distributed inference schemes for LLMs\n\n - Familiarity with RLHF labeling and training pipelines\n\n - Up-to-date knowledge of recent LLM techniques and developments\n\n\nTHE CHALLENGE\n\nWe are seeking researchers who:\n\n - See \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\n - Can identify the one critical experiment that will validate or kill an idea in days, not months\n\n - Have the vision to scale successful proofs-of-concept 100x\n\n - Are obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\n\n\n\n\nWHAT YOU'LL DO\n\n - Brainstorming and collaborating with other members of the Research Staff to define new LLM research initiatives\n\n - Broad surveying of literature, evaluating, classifying, and distilling current methods\n\n - Designing and carrying out experimental programs for LLMs\n\n - Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production\n\n - Documenting and presenting results and complex technical concepts clearly for a target audience\n\n - Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products\n\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are passionate about AI and excited about working on state of the art LLM research\n\n - Have an interest in producing and applying new science to help us develop and deploy large language models\n\n - Enjoy building from the ground up and love to create new systems.\n\n - Have strong communication skills and are able to translate complex concepts clearly\n\n - Are highly analytical and enjoy delving into detailed analyses when necessary\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism\n\n - Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning\n\n - Strong experience coding in Python and working with Pytorch\n\n - Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)\n\n - Experience with distributed computing and large-scale data processing\n\n - Prior experience in conducting experimental programs and using results to optimize models\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Deep understanding of transformers, causal LMs, and their underlying architecture\n\n - Understanding of distributed training and distributed inference schemes for LLMs\n\n - Familiarity with RLHF labeling and training pipelines\n\n - Up-to-date knowledge of recent LLM techniques and developments\n\n - Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks\n\n\n\n - Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks\n\n\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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":"2026-06-24T16:36:39.295+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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY:\n\nWe are seeking a Software Engineer to join 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\n\n\nWHAT YOU’LL DO\n\n - Design, develop, and maintain scalable, high-performance backend systems for our automated order-taking platform\n\n - Collaborate closely with our team to ensure the seamless integration of our backend with our ML models and client devices\n\n - Monitor and optimize the performance of our backend systems in production environments\n\n - Build and maintain integrations with 3rd party restaurant software systems like POS, loyalty, payment gateways, and customer data platforms\n\n - Implement best practices in system design, code quality, and testing to ensure a reliable, secure, and maintainable system\n\n - Optimize AI pipeline to improve performance in challenging audio environments, robustly handle ambiguous customer requests, and rapidly scale to new menus\n\n - Push the very boundaries of LLMs and voice AI technology to solve one of the technology industry’s historically elusive challenges\n\n - Run experiments to validate the product impact of new functionality\n\n\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Bachelor's or Master's degree in Computer Science, Engineering, or a related field\n\n - 4+ years of hands-on experience in developing, implementing, and maintaining backend infrastructure in production environments\n\n - Proven track record of building and deploying scalable, high-performance backend systems\n\n - Experience with cloud-based infrastructure and deployment technologies, such as AWS and API design\n\n - Excellent problem-solving skills and the ability to adapt to a rapidly evolving startup environment\n\n - Strong communication skills and the ability to work collaboratively with a team\n\n - Willingness to problem solve across our entire product\n\n - Ability to proactively recognize problems and identify solutions to those problems\n\n - Results oriented and care about the impact of your work\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience working with audio\n\n - Experience taking a backend system from zero to one\n\n - Experience building and maintaining a system that integrates with many 3rd party APIs, particularly Point of Sale systems\n\n - Experience with Python, Kotlin, or Java\n\n - Experience with containerization tools, such as Docker and Kubernetes\n\n - Experience working in or alongside AI / ML\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"4cc235e0-f195-4f44-84f3-c30e07c4a388","title":"Customer Success Engineer (Singapore)","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"Singapore","secondaryLocations":[],"publishedAt":"2026-05-11T16:44:20.999+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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nNOTE: THIS IS A REMOTE ROLE THAT WILL BE BASED OUT OF SINGAPORE.\n\n\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\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\n\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\n\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\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\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\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\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\n\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"4ccf6612-92c5-49f4-9044-b4bed37c97d4","title":"GSI Partner Director","department":"Sales","team":"Business Development","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-05-15T01:44:25.207+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/4ccf6612-92c5-49f4-9044-b4bed37c97d4","applyUrl":"https://jobs.ashbyhq.com/deepgram/4ccf6612-92c5-49f4-9044-b4bed37c97d4/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is the Voice AI platform powering the next generation of enterprise voice agents, contact centers, and real-time speech applications. As we continue scaling our enterprise footprint, Global Systems Integrators (GSIs) are one of our highest-leverage routes to market. We are hiring a GSI Partner Manager / Director to build and scale Deepgram’s global GSI partner ecosystem from the ground up.
This is a highly strategic, builder-oriented role focused on developing and expanding relationships with GSIs such as Deloitte, Accenture, TCS, Capgemini, and BCG. You will define what an AI-native partner motion looks like at Deepgram — driving sell-to, sell-through, and sell-with motions while leveraging AI, automation, and data to scale impact far beyond a traditional alliances organization.
If you thrive in ambiguity, enjoy building from zero, and are excited about reshaping enterprise partnerships in the AI era, we’d love to meet you.
Build and execute Deepgram’s strategy across named GSI and consulting partners
Develop joint value propositions, account plans, solution plays, and executive governance cadences
Establish Deepgram as a strategic AI and voice partner within each organization
Lead and scale:
Sell-to motions: Embed Deepgram into partner AI platforms, accelerators, and delivery frameworks
Sell-through motions: Enable partners to package and deliver repeatable enterprise AI offerings
Sell-with motions: Co-sell into enterprise accounts alongside partner account teams and Deepgram sellers
Own partner-sourced and partner-influenced pipeline targets
Drive measurable revenue outcomes through strategic co-sell execution
Instrument forecasting, attribution, and reporting across the partner funnel
Partner with Product, Engineering, Solutions, and GTM teams to develop industry-specific offerings and reference architectures
Build scalable enablement programs including certifications, sales plays, demos, and technical training
Enable hundreds — and eventually thousands — of partner sellers and practitioners
This role is intentionally AI-forward. You will use AI systems, agents, automation, and workflows to scale partner operations efficiently and intelligently.
Examples include:
AI-generated partner briefs and enablement content
Automated account mapping and pipeline attribution
CRM and partner ecosystem automations
AI-driven identification of co-sell opportunities
Serve as a senior external face of Deepgram across executive briefings, partner summits, QBRs, and industry events
Develop a strong point of view on the future of Voice AI, enterprise AI transformation, and the GSI ecosystem
Collaborate closely with Enterprise Sales, Solutions Engineering, Product, Marketing, Legal, and Leadership teams
Remove friction and accelerate partner-driven revenue growth
8+ years of experience in Partner Management, Alliances, Business Development, or Enterprise Sales
3–5+ years directly managing GSI relationships such as Deloitte, Accenture, TCS, Capgemini, Infosys, EY, PwC, KPMG, or similar
Proven success building sell-to, sell-through, and sell-with motions
Demonstrated ability to build and scale partnerships from zero or early-stage environments
Strong understanding of how GSIs operate across alliances, verticals, delivery organizations, and executive sponsorship structures
Experience with enterprise AI ecosystems including LLMs, agentic AI, CCaaS, and cloud co-sell motions
Hands-on experience leveraging AI tools, automation, workflows, or internal systems to drive operational scale
Strong executive presence and ability to influence senior stakeholders internally and externally
Analytical mindset with strong operational rigor and pipeline ownership
High ownership mentality with comfort operating in fast-paced, ambiguous environments
Existing relationships within Deloitte, Accenture, TCS, Capgemini, BCG, or similar firms
Experience launching joint GSI offerings that resulted in repeatable enterprise engagements
Background in Voice AI, Speech AI, CCaaS, or adjacent ecosystems such as AWS Connect, Genesys, NICE, Five9, Salesforce, or ServiceNow
Experience building internal AI tooling, automations, or revenue workflows
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is the Voice AI platform powering the next generation of enterprise voice agents, contact centers, and real-time speech applications. As we continue scaling our enterprise footprint, Global Systems Integrators (GSIs) are one of our highest-leverage routes to market. We are hiring a GSI Partner Manager / Director to build and scale Deepgram’s global GSI partner ecosystem from the ground up.\n\nThis is a highly strategic, builder-oriented role focused on developing and expanding relationships with GSIs such as Deloitte, Accenture, TCS, Capgemini, and BCG. You will define what an AI-native partner motion looks like at Deepgram — driving sell-to, sell-through, and sell-with motions while leveraging AI, automation, and data to scale impact far beyond a traditional alliances organization.\n\nIf you thrive in ambiguity, enjoy building from zero, and are excited about reshaping enterprise partnerships in the AI era, we’d love to meet you.\n\n\nWHAT YOU’LL DO\n\n\nOWN THE GSI STRATEGY\n\n - Build and execute Deepgram’s strategy across named GSI and consulting partners\n\n - Develop joint value propositions, account plans, solution plays, and executive governance cadences\n\n - Establish Deepgram as a strategic AI and voice partner within each organization\n\n\nDRIVE PARTNER REVENUE MOTIONS\n\nLead and scale:\n\n - Sell-to motions: Embed Deepgram into partner AI platforms, accelerators, and delivery frameworks\n\n - Sell-through motions: Enable partners to package and deliver repeatable enterprise AI offerings\n\n - Sell-with motions: Co-sell into enterprise accounts alongside partner account teams and Deepgram sellers\n\n\nBUILD PARTNER-SOURCED PIPELINE\n\n - Own partner-sourced and partner-influenced pipeline targets\n\n - Drive measurable revenue outcomes through strategic co-sell execution\n\n - Instrument forecasting, attribution, and reporting across the partner funnel\n\n\nCREATE JOINT SOLUTIONS & ENABLEMENT\n\n - Partner with Product, Engineering, Solutions, and GTM teams to develop industry-specific offerings and reference architectures\n\n - Build scalable enablement programs including certifications, sales plays, demos, and technical training\n\n - Enable hundreds — and eventually thousands — of partner sellers and practitioners\n\n\nOPERATE AI-NATIVELY\n\nThis role is intentionally AI-forward. You will use AI systems, agents, automation, and workflows to scale partner operations efficiently and intelligently.\n\nExamples include:\n\n - AI-generated partner briefs and enablement content\n\n - Automated account mapping and pipeline attribution\n\n - CRM and partner ecosystem automations\n\n - AI-driven identification of co-sell opportunities\n\n\nREPRESENT DEEPGRAM EXTERNALLY\n\n - Serve as a senior external face of Deepgram across executive briefings, partner summits, QBRs, and industry events\n\n - Develop a strong point of view on the future of Voice AI, enterprise AI transformation, and the GSI ecosystem\n\n\nPARTNER CROSS-FUNCTIONALLY\n\n - Collaborate closely with Enterprise Sales, Solutions Engineering, Product, Marketing, Legal, and Leadership teams\n\n - Remove friction and accelerate partner-driven revenue growth\n\n\nWHAT YOU BRING\n\n - 8+ years of experience in Partner Management, Alliances, Business Development, or Enterprise Sales\n\n - 3–5+ years directly managing GSI relationships such as Deloitte, Accenture, TCS, Capgemini, Infosys, EY, PwC, KPMG, or similar\n\n - Proven success building sell-to, sell-through, and sell-with motions\n\n - Demonstrated ability to build and scale partnerships from zero or early-stage environments\n\n - Strong understanding of how GSIs operate across alliances, verticals, delivery organizations, and executive sponsorship structures\n\n - Experience with enterprise AI ecosystems including LLMs, agentic AI, CCaaS, and cloud co-sell motions\n\n - Hands-on experience leveraging AI tools, automation, workflows, or internal systems to drive operational scale\n\n - Strong executive presence and ability to influence senior stakeholders internally and externally\n\n - Analytical mindset with strong operational rigor and pipeline ownership\n\n - High ownership mentality with comfort operating in fast-paced, ambiguous environments\n\n\nNICE TO HAVE\n\n - Existing relationships within Deloitte, Accenture, TCS, Capgemini, BCG, or similar firms\n\n - Experience launching joint GSI offerings that resulted in repeatable enterprise engagements\n\n - Background in Voice AI, Speech AI, CCaaS, or adjacent ecosystems such as AWS Connect, Genesys, NICE, Five9, Salesforce, or ServiceNow\n\n - Experience building internal AI tooling, automations, or revenue workflows\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOPPORTUNITY\n\nDeepgram is 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\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\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\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\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"623dcf1a-becc-4cab-85a3-eb7ebe37e3c0","title":"Strategic Partner Manager","department":"Sales","team":"Business Development","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-05-15T01:53:37.546+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/623dcf1a-becc-4cab-85a3-eb7ebe37e3c0","applyUrl":"https://jobs.ashbyhq.com/deepgram/623dcf1a-becc-4cab-85a3-eb7ebe37e3c0/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is the Voice AI platform powering the next generation of enterprise voice agents, contact centers, and real-time speech applications. As we continue scaling our enterprise footprint, strategic technology partners are one of our highest-leverage routes to market. We are hiring a Strategic Partner Manager to build and scale Deepgram’s strategic technology partner ecosystem from the ground up.
This is a highly strategic, builder-oriented role focused on developing and expanding relationships with technology partners such as Genesys, Databricks, Snowflake, and Tier-1 telcos. You will define what an AI-native partner motion looks like at Deepgram — driving sell-to, sell-through, and sell-with motions while leveraging AI, automation, and data to scale impact far beyond a traditional alliances organization.
If you thrive in ambiguity, enjoy building from zero, and are excited about reshaping enterprise partnerships in the AI era, we’d love to meet you.
Build and execute Deepgram’s strategy across named technology partners including Genesys, Databricks, Snowflake, and major telecom providers
Develop joint value propositions, account plans, integration strategies, and executive governance cadences
Establish Deepgram as a strategic Voice AI and AI infrastructure partner within each ecosystem
Lead and scale:
Sell-to motions: Position Deepgram as an embedded Voice AI layer inside partner platforms and ecosystems
Sell-through motions: Enable partners to package and deliver repeatable AI-powered offerings to enterprise customers
Sell-with motions: Co-sell into enterprise accounts alongside partner field teams and Deepgram sellers
Own partner-sourced and partner-influenced pipeline targets
Drive measurable revenue outcomes through strategic co-sell execution
Instrument forecasting, attribution, and reporting across the partner funnel
Partner with Product, Engineering, Solutions, and GTM teams to develop integrations, marketplace listings, reference architectures, and industry-specific offerings
Build scalable enablement programs including certifications, sales plays, demos, integration kits, and technical training
Enable hundreds — and eventually thousands — of partner sellers, solution architects, and practitioners
This role is intentionally AI-forward. You will use AI systems, agents, automation, and workflows to scale partner operations efficiently and intelligently.
Examples include:
AI-generated partner collateral and enablement content
Automated account mapping and co-sell attribution
CRM and ecosystem workflow automations
AI-driven identification of co-sell opportunities and partner insights
Serve as a senior external face of Deepgram across executive briefings, alliance reviews, partner summits, and industry events
Develop a strong point of view on the future of Voice AI, enterprise AI transformation, and ecosystem partnerships
Collaborate closely with Enterprise Sales, Solutions Engineering, Product, Marketing, Legal, and Leadership teams
Remove friction and accelerate partner-driven revenue growth
8+ years of experience in Partner Management, Alliances, Business Development, or Enterprise Sales
3–5+ years directly managing strategic technology partnerships such as Genesys, Databricks, Snowflake, cloud hyperscalers, telecom providers, or adjacent ecosystems
Proven success building sell-to, sell-through, and sell-with motions
Demonstrated ability to build and scale strategic partnerships from zero or early-stage environments
Strong understanding of how technology ecosystems operate across product organizations, alliances, marketplaces, solution architecture, and enterprise field sales
Experience with enterprise AI ecosystems including LLMs, agentic AI, CCaaS/CX platforms, cloud infrastructure, or data platforms
Hands-on experience leveraging AI tools, automations, workflows, or internal systems to drive operational scale
Strong executive presence and ability to influence senior stakeholders internally and externally
Analytical mindset with strong operational rigor and pipeline ownership
High ownership mentality with comfort operating in fast-paced, ambiguous environments
Existing relationships within Genesys, Databricks, Snowflake, major telecom providers, or adjacent enterprise ecosystems
Experience launching integrations, marketplace listings, or joint partner solutions that resulted in repeatable customer engagements
Background in Voice AI, Speech AI, CCaaS, telecom APIs, or adjacent ecosystems such as AWS Connect, NICE, Five9, Salesforce, ServiceNow, or Twilio
Experience building internal AI tooling, automations, or revenue workflows
Deepgram is defining the future of Voice AI infrastructure. You’ll join a fast-growing, AI-native company at the center of enterprise transformation and have the opportunity to shape one of the company’s most strategic growth channels from the ground up.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is the Voice AI platform powering the next generation of enterprise voice agents, contact centers, and real-time speech applications. As we continue scaling our enterprise footprint, strategic technology partners are one of our highest-leverage routes to market. We are hiring a Strategic Partner Manager to build and scale Deepgram’s strategic technology partner ecosystem from the ground up.\n\nThis is a highly strategic, builder-oriented role focused on developing and expanding relationships with technology partners such as Genesys, Databricks, Snowflake, and Tier-1 telcos. You will define what an AI-native partner motion looks like at Deepgram — driving sell-to, sell-through, and sell-with motions while leveraging AI, automation, and data to scale impact far beyond a traditional alliances organization.\n\nIf you thrive in ambiguity, enjoy building from zero, and are excited about reshaping enterprise partnerships in the AI era, we’d love to meet you.\n\n\nWHAT YOU’LL DO\n\n\nOWN THE STRATEGIC PARTNER STRATEGY\n\n - Build and execute Deepgram’s strategy across named technology partners including Genesys, Databricks, Snowflake, and major telecom providers\n\n - Develop joint value propositions, account plans, integration strategies, and executive governance cadences\n\n - Establish Deepgram as a strategic Voice AI and AI infrastructure partner within each ecosystem\n\n\nDRIVE PARTNER REVENUE MOTIONS\n\nLead and scale:\n\n - Sell-to motions: Position Deepgram as an embedded Voice AI layer inside partner platforms and ecosystems\n\n - Sell-through motions: Enable partners to package and deliver repeatable AI-powered offerings to enterprise customers\n\n - Sell-with motions: Co-sell into enterprise accounts alongside partner field teams and Deepgram sellers\n\n\nBUILD PARTNER-SOURCED PIPELINE\n\n - Own partner-sourced and partner-influenced pipeline targets\n\n - Drive measurable revenue outcomes through strategic co-sell execution\n\n - Instrument forecasting, attribution, and reporting across the partner funnel\n\n\nCREATE JOINT SOLUTIONS & ENABLEMENT\n\n - Partner with Product, Engineering, Solutions, and GTM teams to develop integrations, marketplace listings, reference architectures, and industry-specific offerings\n\n - Build scalable enablement programs including certifications, sales plays, demos, integration kits, and technical training\n\n - Enable hundreds — and eventually thousands — of partner sellers, solution architects, and practitioners\n\n\nOPERATE AI-NATIVELY\n\nThis role is intentionally AI-forward. You will use AI systems, agents, automation, and workflows to scale partner operations efficiently and intelligently.\n\nExamples include:\n\n - AI-generated partner collateral and enablement content\n\n - Automated account mapping and co-sell attribution\n\n - CRM and ecosystem workflow automations\n\n - AI-driven identification of co-sell opportunities and partner insights\n\n\nREPRESENT DEEPGRAM EXTERNALLY\n\n - Serve as a senior external face of Deepgram across executive briefings, alliance reviews, partner summits, and industry events\n\n - Develop a strong point of view on the future of Voice AI, enterprise AI transformation, and ecosystem partnerships\n\n\nPARTNER CROSS-FUNCTIONALLY\n\n - Collaborate closely with Enterprise Sales, Solutions Engineering, Product, Marketing, Legal, and Leadership teams\n\n - Remove friction and accelerate partner-driven revenue growth\n\n\nWHAT YOU BRING\n\n - 8+ years of experience in Partner Management, Alliances, Business Development, or Enterprise Sales\n\n - 3–5+ years directly managing strategic technology partnerships such as Genesys, Databricks, Snowflake, cloud hyperscalers, telecom providers, or adjacent ecosystems\n\n - Proven success building sell-to, sell-through, and sell-with motions\n\n - Demonstrated ability to build and scale strategic partnerships from zero or early-stage environments\n\n - Strong understanding of how technology ecosystems operate across product organizations, alliances, marketplaces, solution architecture, and enterprise field sales\n\n - Experience with enterprise AI ecosystems including LLMs, agentic AI, CCaaS/CX platforms, cloud infrastructure, or data platforms\n\n - Hands-on experience leveraging AI tools, automations, workflows, or internal systems to drive operational scale\n\n - Strong executive presence and ability to influence senior stakeholders internally and externally\n\n - Analytical mindset with strong operational rigor and pipeline ownership\n\n - High ownership mentality with comfort operating in fast-paced, ambiguous environments\n\n\nNICE TO HAVE\n\n - Existing relationships within Genesys, Databricks, Snowflake, major telecom providers, or adjacent enterprise ecosystems\n\n - Experience launching integrations, marketplace listings, or joint partner solutions that resulted in repeatable customer engagements\n\n - Background in Voice AI, Speech AI, CCaaS, telecom APIs, or adjacent ecosystems such as AWS Connect, NICE, Five9, Salesforce, ServiceNow, or Twilio\n\n - Experience building internal AI tooling, automations, or revenue workflows\n\n\nWHY DEEPGRAM\n\nDeepgram is defining the future of Voice AI infrastructure. You’ll join a fast-growing, AI-native company at the center of enterprise transformation and have the opportunity to shape one of the company’s most strategic growth channels from the ground up.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"64895340-1377-4b40-b182-1ec6b9644997","title":"Senior 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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nNote: this role is based out of India and will service the APAC region.\n\n\n\n\nTHE OPPORTUNITY\n\nDeepgram is expanding across APAC and operating a true follow-the-sun model. We are hiring a Solutions Architect in India to own complex post-sales engagements, guide customers to production, and strengthen technical support coverage for the region. You will work across the full customer lifecycle with a primary focus on architecture, implementation, and Tier-3 technical problem solving. You will also contribute to pre-sales validation when deep technical credibility is needed, partner with Product and Engineering on feedback and roadmap, and help mature our global operations.\n\n\n\n\nABOUT APPLIED ENGINEERING AT DEEPGRAM\n\nApplied Engineering combines what many companies split across Solutions Engineering, Solutions Architecture, Consulting, and Senior Technical Support. We are the technical interface from first discovery through successful production and beyond. The team partners closely with Sales, Customer Success, Product, and DevRel to deliver an enterprise-grade experience that is fast, clear, and outcome oriented.\n\n\n\n\nWHAT YOU WILL DO\n\n - Lead architecture and implementation for enterprise deployments that use Deepgram speech-to-text (STT), text-to-speech (TTS), and voice agent (VA) capabilities.\n\n - Own post-sales technical success for assigned accounts. Unblock integrations, optimize accuracy and latency, and guide customers to stable production.\n\n - Serve as the Tier-3 escalation point for complex issues. Drive root cause analysis, propose mitigations, and write durable fixes or automation when possible.\n\n - Design reference architectures and implementation patterns for common APAC customer use cases including contact centers, voice analytics, QA, and AI agents.\n\n - Build high-quality samples, internal tools, or scripts that make repeatable tasks easier for customers and for our team.\n\n - Contribute to pre-sales discovery and POCs when deep technical direction is needed. Translate business goals to a concrete plan with clear success criteria.\n\n - Partner with Product and Engineering to prioritize fixes and features. Bring crisp customer signals that improve our roadmap.\n\n - Contribute to knowledge systems. Capture runbooks, playbooks, and docs that scale your expertise across regions and languages.\n\n - Participate in an on-call or incident rotation appropriate for the region and customer support tier. Help us meet or outperform regional SLAs.\n\n\n\n\nREGIONAL EXPECTATIONS\n\n - Based in an APAC time zone with reliable overlap to customer business hours across East Asia, Southeast Asia, and ANZ.\n\n - Excellent written and spoken English. Additional Asian languages are a strong plus, especially Japanese, Korean, Mandarin, or Hindi.\n\n - Familiarity with data privacy and enterprise security reviews common across APAC, for example Singapore PDPA, Japan APPI, Korea PIPA, Australia’s Privacy Act, and India’s DPDP Act.\n\n - Ability to travel within the region for critical customer milestones, estimated 10 to 20 percent.\n\n\n\n\nYOUR FIRST 90 DAYS\n\nFirst 30 days\n\nRamp on Deepgram’s platform, APIs, SDKs, self-hosted deployments, and support practices. Shadow calls across pre-sales, post-sales, and support. Begin owning low-risk technical tasks for an active account and contribute improvements to runbooks or sample code relevant to APAC environments.\n\nBy day 60\n\nOwn 2-3 customer workstreams end to end. Lead discovery for one new implementation or migration. Publish one reusable asset such as a deployment guide, Helm example, or troubleshooting playbook with APAC nuances like regional cloud endpoints and data residency.\n\nBy day 90\n\nAct as primary technical owner for several APAC accounts in production. Close at least one complex investigation with measurable customer impact. Present a short readout on a repeated regional pattern and the automation or content you created to solve it.\n\n\n\n\nYOU WILL THRIVE HERE IF YOU\n\n - Enjoy solving hard customer problems at the code, container, and cloud layers.\n\n - Like translating real-world constraints into clear architectures and plans.\n\n - Are comfortable writing and reading production-grade code, not just sample snippets.\n\n - Value crisp documentation, reproducible runbooks, and operational excellence.\n\n - Care about delivering outcomes, not just closing tickets.\n\n\nMINIMUM QUALIFICATIONS\n\n - 5 or more years in Solutions Architecture, Solutions Engineering, or similar customer-facing technical roles.\n\n - Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python or TypeScript. You can build POCs and tools that real users run.\n\n - Hands-on experience with modern cloud platforms. Comfortable with containerization and orchestration, for example Docker and Kubernetes, and with secure network design for API-driven systems.\n\n - Proven ownership of complex post-sales work such as production deployments, migrations, performance tuning, and incident response.\n\n - Clear written and verbal communication across both technical and executive audiences.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with speech recognition, TTS, or building voice agents that orchestrate LLMs.\n\n - Familiarity with WER analysis, model selection and tuning, and accuracy-versus-latency tradeoffs.\n\n - Experience operating self-hosted systems, including Helm-based deployments and observability for production services.\n\n - Strong understanding of authentication, authorization, data residency, and compliance topics that appear in APAC enterprise reviews.\n\n - Fluency in one additional Asian language such as Japanese, Korean, Mandarin, or Hindi.\n\n\nHOW WE WORK\n\n - Remote across APAC with periodic regional meetups.\n\n - Collaboration with colleagues in EMEA and the Americas to support continuous coverage.\n\n - Shared playbooks, defined escalation paths, and measurable SLAs.\n\n\nINTERVIEW PROCESS\n\n - Recruiter screen focused on experience, motivations, and logistics.\n\n - Hiring manager conversation focused on technical depth and customer impact.\n\n - Technical assessment that mirrors real work. Expect practical coding, architecture discussion, and debugging.\n\n - Panel interviews with cross-functional partners.\n\n - Short presentation on a customer-facing technical win you led. Explain the problem, your approach, and measurable outcomes.\n\nIf this sounds like you, we would love to meet you!\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nDeepgram'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\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 \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 \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 \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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"68372d7d-b7a9-439e-a0a7-76690576aba4","title":"Software Engineer - Deepgram for Restaurants","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York City, NY","address":{"postalAddress":{"addressRegion":"NY","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-01-13T00:37:50.284+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/68372d7d-b7a9-439e-a0a7-76690576aba4","applyUrl":"https://jobs.ashbyhq.com/deepgram/68372d7d-b7a9-439e-a0a7-76690576aba4/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY:\n\nWe are seeking a Software Engineer to join 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\n\n\nWHAT YOU’LL DO\n\n - Design, develop, and maintain scalable, high-performance backend systems for our automated order-taking platform\n\n - Collaborate closely with our team to ensure the seamless integration of our backend with our ML models and client devices\n\n - Monitor and optimize the performance of our backend systems in production environments\n\n - Build and maintain integrations with 3rd party restaurant software systems like POS, loyalty, payment gateways, and customer data platforms\n\n - Implement best practices in system design, code quality, and testing to ensure a reliable, secure, and maintainable system\n\n - Optimize AI pipeline to improve performance in challenging audio environments, robustly handle ambiguous customer requests, and rapidly scale to new menus\n\n - Push the very boundaries of LLMs and voice AI technology to solve one of the technology industry’s historically elusive challenges\n\n - Run experiments to validate the product impact of new functionality\n\n\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Bachelor's or Master's degree in Computer Science, Engineering, or a related field\n\n - 4+ years of hands-on experience in developing, implementing, and maintaining backend infrastructure in production environments\n\n - Proven track record of building and deploying scalable, high-performance backend systems\n\n - Experience with cloud-based infrastructure and deployment technologies, such as AWS and API design\n\n - Excellent problem-solving skills and the ability to adapt to a rapidly evolving startup environment\n\n - Strong communication skills and the ability to work collaboratively with a team\n\n - Willingness to problem solve across our entire product\n\n - Ability to proactively recognize problems and identify solutions to those problems\n\n - Results oriented and care about the impact of your work\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience working with audio\n\n - Experience taking a backend system from zero to one\n\n - Experience building and maintaining a system that integrates with many 3rd party APIs, particularly Point of Sale systems\n\n - Experience with Python, Kotlin, or Java\n\n - Experience with containerization tools, such as Docker and Kubernetes\n\n - Experience working in or alongside AI / ML\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nVoice 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\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\n\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\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\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\n\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\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\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nABOUT DEEPGRAM\n\nDeepgram is the leading voice AI platform for developers; building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS), enterprise-grade, voice agent offerings. Over 200,000 developers build with Deepgram's voice-native foundational models – accessed through APIs, well known partners or as self-managed software – due to our unmatched accuracy, latency and pricing.\n\nCustomers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nABOUT THE ROLE\n\nAs a Senior AI Community Engineer, you are the person who creates the venues (physical and digital) where developers discover voice AI, try it for the first time, and connect with the builders around them.\n\nWhere Developer Advocates prove what's possible through code and content, you prove it by putting a keyboard in a developer's hands. You run the builders night where 40 developers make their first API call. You design the workshop that turns curiosity into a working prototype. You build the community infrastructure that identifies the most engaged developers and turns them into Deepgram Champions.\n\nYour primary output is programs, events, and activation infrastructure. You manage the end-to-end event lifecycle, the local community health of Deepgram's developer platforms, and the pipeline that converts event attendees into active, retained developers. You measure success by how many developers activate, not how many people saw your content.\n\nThis role is based in San Francisco. You are Deepgram's in-person presence in the Bay Area at meetups, hack nights, AI conferences, and the local builder community. You also execute Deepgram's broader event strategy and execution across the US, with ~25% travel.\n\n\n\n\nWHAT YOU'LL DO\n\n - Run Events End-to-End: Own the full lifecycle of DevRel events — first-party programs (builders nights, hack nights, virtual dev days), community developer conferences (CFP support, on-site activation), and DevRel's role at partner and industry events. You execute from planning through post-event follow-up and impact measurement.\n\n - Build the SF Presence: Establish and maintain a regular cadence of in-person programming in the Bay Area that makes Deepgram the default gathering point for voice AI builders. Builders nights, workshop series, partner co-hosted events — you design the formats and run them.\n\n - Design for Activation: Every event you run has a clear activation goal. Design hands-on workshop formats that get developers to a first API call during the session. Maintain workshop-ready demo infrastructure — facilitator guides, environment setup, and scaffolding that works for 40 people simultaneously.\n\n - Own Community Health: Manage the health and growth of Deepgram's developer community across Discord, GitHub, Reddit, and social platforms. Run engagement rhythms — office hours, developer spotlights, social listening — and ship monthly friction reports that surface community-sourced issues to Product and Engineering.\n\n - Build the Champions Pipeline: Identify, cultivate, and activate the most engaged developers in the community. Build the data and relationships needed to launch a formal Champions program — you know who your best builders are because you've worked with them, not because they're names on a spreadsheet.\n\n - Measure What Matters: Track event-to-activation conversion as your primary success metric. What percentage of attendees make their first API call within 14 days? Connect your work to developer outcomes — sign-ups, activations, community growth, Champion pipeline — and report on impact, not just activity.\n\n - Scale the Playbook: Document repeatable event playbooks, community engagement patterns, and workshop formats so the team can scale this work beyond one person and one geography.\n\n - Coordinate Across the Business: Work with Field Marketing on trade shows, with Partnerships on co-hosted events, and with the Advocacy team to ensure the content and demos they produce land in front of real developers at your events.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Experience: 3–5 years in Developer Relations, Community Management, Technical Event Production, or a related field. You've run developer-facing events and community programs — not just attended them.\n\n - Event Execution: A track record of producing technical events — meetups, hack nights, workshops, conference activations — from concept through post-event measurement. You know the difference between an event that generates buzz and one that generates activations.\n\n - Community Building: Experience growing and sustaining a developer community. You understand engagement loops, community health metrics, and when to lead vs. when to step back and let the community help itself.\n\n - Technical Credibility: You don't need to be a Staff engineer, but you need to be technical enough to triage developer questions live, run a workshop on API integrations, and maintain demo infrastructure. Comfortable with JavaScript or Python and familiar with API-first development.\n\n - AI-First Mindset: You use AI tools in your daily workflow — for planning, content, research, automation. You're building with AI, not just talking about it.\n\n - Local Presence: Based in San Francisco with the ability to be Deepgram's consistent in-person presence in the Bay Area. ~25% travel beyond the region for conferences and team gatherings.\n\n - High Autonomy: You find the gaps, design the format, and drive to outcomes without waiting to be handed a plan.\n\n\nPREFERRED / NICE-TO-HAVE\n\n - Developer Event Production at Scale: Experience producing events for 50–200+ developers, including logistics, A/V, catering coordination, and venue management. Bonus if you've produced hybrid or virtual events.\n\n - Workshop Design: A portfolio of hands-on technical workshops you've designed and facilitated — ideally with measurable activation or completion outcomes.\n\n - Community Tooling: Experience with community platforms (Discord, Discourse, Orbit, Common Room) and community analytics. Bonus if you've built custom community tooling or automation.\n\n - Media & Real-time Protocols: Familiarity with WebSockets, WebRTC, or real-time audio — enough to understand how Deepgram's technology works and explain it to developers in a workshop setting.\n\n - Partnership Coordination: Experience working across organizational boundaries to co-produce events or programs with external partners.\n\n - Champions / Ambassador Programs: Experience designing or running a developer champions, MVP, or ambassador program.\n\n - Content as a Complement: While content isn't your primary output, the ability to produce event recaps, community spotlights, or short-form social content is a plus.\n\n\nWHY THIS ROLE MATTERS\n\nDeepgram wins when developers move from \"is this possible?\" to \"this is in production\" with zero friction. The Bay Area is home to the densest concentration of AI builders and voice AI startups in the world. This role puts Deepgram in the room — at the hack night, at the meetup, in the community spaces where developers are making technology decisions. As a Community Engineer, you don't just tell developers what's possible — you create the experience where they prove it to themselves.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"790579d8-6474-42ca-9104-9a4bafcf13e9","title":"Staff Product Analyst","department":"Product","team":"Product","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-06-24T03:28:07.386+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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is looking for a 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\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\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 \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 \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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"7ac1a5bc-f305-4f2a-a547-394566a549b2","title":"Senior 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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nNote: this is a remote role that is to be based out of one of the following countries:\n\n - United Kingdom\n\n - Ireland\n\n - Scotland\n\n - Switzerland\n\n - Germany\n\n - Austria\n\n - Netherlands\n\n - Spain\n\n\n\nOpportunity\n\nDeepgram is expanding globally and operating a follow-the-sun model. We are hiring a Pre-sales Solutions Engineer in EMEA to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long-term across discovery, POC, production launch, and expansion. You will focus on pre-sales, yet you will often step into post-sales style work when the stakes are high and continuity matters.\n\n\n\nAbout Applied Engineering at Deepgram \n\nApplied Engineering blends what many companies split into Solutions Engineering, Solutions Architecture, Solutions Consulting, and Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.\n\n\n\nWhat You’ll Do\n\n - Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.\n\n - Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.\n\n - Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs. Show, do not tell.\n\n - Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.\n\n - Run security and compliance threads common in EMEA. Prepare crisp responses for GDPR, ISO 27001, SOC 2, and vendor risk reviews.\n\n - Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.\n\n - Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.\n\n - Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.\n\n - Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.\n\n\n\n\nREGIONAL EXPECTATIONS\n\n - Based in an EMEA time zone with strong overlap to customer business hours.\n\n - Excellent written and spoken English. Additional European languages are a strong plus.\n\n - Familiarity with procurement, InfoSec, and data privacy expectations across EMEA, including GDPR and data residency.\n \n \n\n\nYOUR FIRST 90 DAYS\n\nIn the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active opportunities and engagements driven by Account Executives or partners.\n\nFirst 30 days\n\n - Ramp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.\n\n - Shadow strategic discovery and POC calls.\n\n - Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.\n\n - Publish one internal field guide that clarifies a common EMEA pre-sales topic (for example data residency, telephony capture, or evaluation metrics).\n\nBy day 60\n\n - Own two evaluations end to end with defined success criteria and timelines.\n\n - Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection handling packs.\n\n - Take point on higher signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.\n\n - Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.\n\nBy day 90\n\n - Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.\n\n - Close at least one complex technical win with a measurable impact on revenue.\n\n - Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.\n\n - Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.\n\n\nYOU WILL THRIVE HERE IF YOU\n\n - Enjoy the mix of customer conversations and hands-on building.\n\n - Can move from whiteboard to working code and back without losing the thread.\n\n - Communicate clearly with executives and deeply with engineers.\n\n - Value speed with rigor and crisp documentation.\n\n - Like winning together across regions and functions.\n\n\nMINIMUM QUALIFICATIONS\n\n - 5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.\n\n - Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.\n\n - Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.\n\n - Proven track record leading POCs for enterprise customers and earning the technical win.\n\n - Clear written and verbal communication across both technical and executive audiences.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.\n\n - Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.\n\n - Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.\n\n - Strong understanding of authentication, authorization, and data residency topics that appear in EMEA enterprise reviews.\n\n - Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish.\n\n\nHOW WE WORK\n\n - Remote across EMEA with periodic regional meetups.\n\n - Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across EMEA, the Americas, and APAC.\n\n - Shared playbooks, defined escalation paths, and measurable SLAs.\n\n\nINTERVIEW PROCESS\n\n - Recruiter screen focused on experience, motivations, and logistics.\n\n - Hiring manager conversation focused on technical depth and customer impact.\n\n - Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.\n\n - Panel interviews with cross-functional partners.\n\n - Simulated pre-sales engagement based on a case study, along with and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nOpportunity\n\nDeepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s Voice Agent product. You will design and implement secure, robust, and scalable services for speech processing; build integrations supporting telephony providers, RAG systems, and diverse deployment scenarios; engineer for testability and observability within a complex chain of AI models; and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish.\n\n\n\nWhat You’ll Do\n\n - Improve Deepgram’s core inference services including areas in networking, speech processing, model orchestration, and observability\n\n - Develop integrations with cutting edge in-house, third-party, and open-source AI models for perception and managing conversational dynamics\n\n - Debug complex system issues that include networking, scheduling, and highly concurrent workloads\n\n - Rapidly customize backend services to support our customer needs\n\n - Partner with Product to design and implement new services, features, and/or products end to end\n\n\n\nYou’ll Love This Role If You\n\n - Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity\n\n - Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work\n\n\n\nIt’s Important To Us That You Have\n\n - 3+ years of experience in an industry role\n\n - Programming experience in Rust (or C, C++), with competence in Python\n\n - Excellent communication and organizational skills, both written and verbal.\n\n - A high level of experience and understanding of version control; preferably git.\n\n - Comprehensive experience with UNIX-style systems.\n\n\n\nIt Would Be Great If You Had\n\n - Experience with low-latency, multi-model orchestration for AI-enabled applications\n\n - Experience with audio processing\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nGetting a model from a research notebook to a production API serving millions of requests is one of the hardest problems in AI. As an ML Ops Infrastructure Engineer at Deepgram, you will own the critical bridge between research and production -- building the pipelines, deployment systems, and testing infrastructure that take models from experimental to battle-tested at scale. Your work ensures that every model improvement our research team makes can be safely, quickly, and reliably delivered to the customers who depend on Deepgram's APIs for real-time voice AI.\n\n\n\nWHAT YOU'LL DO\n\n - Design and build CI/CD pipelines specifically tailored for ML model development, validation, and deployment\n\n - Architect and maintain model deployment pipelines that move models from research environments through staging to production with confidence\n\n - Build A/B testing infrastructure that enables controlled rollouts of new models and measures real-world performance impact\n\n - Implement comprehensive monitoring for model performance in production -- accuracy metrics, latency, drift detection, and regression alerts\n\n - Develop automated retraining pipelines that trigger on data changes, performance degradation, or scheduled cadences\n\n - Create and maintain build and test environments that mirror production, giving researchers high-fidelity feedback before deployment\n\n - Establish model versioning, artifact management, and rollback capabilities to ensure safe and reproducible deployments\n\n - Collaborate with research engineers to define and enforce model quality gates before production promotion\n\n - Build observability dashboards that give the team real-time insight into model health across all environments\n\n - Optimize model serving infrastructure for latency, throughput, and cost efficiency\n \n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Are excited by the challenge of operationalizing cutting-edge AI models at production scale\n\n - Believe that great infrastructure is what turns research breakthroughs into customer value\n\n - Enjoy designing systems that are automated, reliable, and self-healing\n\n - Want to work on problems where minutes of latency reduction or percentage points of accuracy matter enormously\n\n - Like collaborating across research and engineering teams to make the whole organization faster\n\n - Are motivated by building the deployment and testing systems that back a platform serving over 200,000 developers\n \n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - 4+ years of experience in MLOps, DevOps, or infrastructure engineering with a focus on ML systems\n\n - Strong proficiency in Python and experience building automation and tooling for ML workflows\n\n - Deep experience with CI/CD systems and building pipelines for software and model delivery\n\n - Hands-on experience with Docker and Kubernetes for containerized workload management\n\n - Practical experience deploying and serving ML models in production environments\n\n - Familiarity with model evaluation, validation, and quality assurance processes\n\n - Understanding of monitoring and observability principles as applied to ML systems\n\n - Strong problem-solving skills and a bias toward automation over manual processes\n \n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with model serving frameworks such as NVIDIA Triton Inference Server, TensorRT, or ONNX Runtime\n\n - Background in speech, audio, or real-time media ML systems\n\n - Experience with Infrastructure as Code tools such as Terraform or Pulumi\n\n - Hands-on experience with monitoring and observability stacks (Prometheus, Grafana, Datadog, or similar)\n\n - Familiarity with GPU-accelerated inference optimization and profiling\n\n - Experience with feature stores, data versioning, or ML metadata management\n\n - Knowledge of canary deployment strategies and progressive delivery for ML models\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"7cf277bc-a192-4007-a77a-fafbf8276a5e","title":"Research Staff, Voice AI Foundations","department":"Research","team":"Research","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"Ann Arbor, MI","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Ann Arbor, MI"}}},{"location":"Global | Remote (NA / LATAM / EMEA / APAC)","address":{"postalAddress":{}}}],"publishedAt":"2026-06-24T19:32:10.678+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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.\n\n\n\nTHE ROLE\n\nAs a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems:\n\n\n\n - Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio.\n\n - Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech.\n\n - Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”.\n\n - Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio. Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives. \n\n - Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations.\n\n\n\n\nTHE CHALLENGE\n\nWe are seeking researchers who:\n\n - See \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\n - Can identify the one critical experiment that will validate or kill an idea in days, not months\n\n - Have the vision to scale successful proofs-of-concept 100x\n\n - Are obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning\n\n - Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities\n\n - Proven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficiently\n\n - Demonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversity\n\n - Track record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insights\n\n - Experience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniques\n\n - History of open-source contributions or research publications that have advanced the state of the art in speech/language AI\n\n\n\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\n\n\nCombining Existing Theories in Novel Ways\n\nPapers such as Moshi (combining text modeling, audio codecs, and hierarchical generative modeling) and Finite Scalar Quantization (FSQ's adaptation of classic scalar quantization to replace vector-quantized representations) show how reusing but reimagining known techniques can yield breakthroughs. Many references (e.g., the structured state-space duality in Transformers are SSMs) underscore how unifying previously separate research lines can reveal powerful algorithmic or theoretical insights.\n\n\n\nLogical Reasoning and Assumption Testing\n\nAcross all papers—particularly in the problem statements of Whisper or Rectified Flow Transformers—the authors present assumptions (e.g., \"scaling data leads to zero-shot robustness\" or \"straight-line noise injection improves sample efficiency\") and systematically verify them with thorough empirical results. An ideal researcher similarly grounds new ideas in well-formed, testable hypotheses.\n\n\n\n2. ALGORITHMIC INNOVATION & IMPLEMENTATION\n\nCreative Solutions to Known Bottlenecks\n\nEach paper puts forth a unique algorithmic contribution—Rectified Flow Transformers redefines standard diffusion paths, FSQ proposes simpler scalar quantizations contrasted with VQ, phi-3 mini relies on curated data and blocksparse attention, and Mamba-2 merges SSM speed with attention concepts.\n\n\n\nTurning Theory into Practice\n\nWhether it's the direct preference optimization (DPO) for alignment in phi-3 or the residual vector quantization in SoundStream, these works show that bridging design insights with implementable prototypes is essential.\n\n\n\nClear Impact Through Prototypes & Open-Source\n\nMany references (Whisper, neural discrete representation learning, Mamba-2) highlight releasing code or pretrained models, enabling the broader community to replicate and build upon new methods. This premise of collaboration fosters faster progress.\n\n\n\n3. DATA-DRIVEN & SCALABLE SYSTEMS\n\nEmphasis on Large-Scale Data and Efficient Pipelines\n\nPapers such as Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) and BASE TTS demonstrate that collecting and processing hundreds of thousands of hours of real-world audio can unlock new capabilities in zero-shot or low-resource domains. Meanwhile, phi-3 Technical Report shows that filtering and curating data at scale (e.g., \"data optimal regime\") can yield high performance even in smaller models.\n\n\n\nStrategic Use of Data for Staged Training\n\nA recurring strategy is to vary sources of data or the order of tasks. Whisper trains on multilingual tasks, BASE TTS uses subsets/stages for pretraining on speech tokens, and phi-3 deploys multiple training phases (web data, then synthetic data). This systematic approach to data underscores how an ideal researcher designs training curricula and data filtering protocols for maximum performance.\n\n\n\n4. HARDWARE & SYSTEMS UNDERSTANDING\n\nEfficient Implementations at Scale\n\nMany works illustrate how researchers tune architectures for modern accelerators: the In-Datacenter TPU paper exemplifies domain-specific hardware design for dense matrix multiplications, while phi-3 leverages blocksparse attention and custom Triton kernels to run advanced LLMs on resource-limited devices.\n\n\n\nReal-Time & On-Device Constraints\n\nSoundStream shows how to compress audio in real time on a smartphone CPU, demonstrating that knowledge of hardware constraints (latency, limited memory) drives design choices. Similarly, Moshi's low-latency streaming TTS and phi-3-mini's phone-based inference highlight that an ideal researcher must adapt algorithms to resource limits while maintaining robustness.\n\n\n\nArchitectural & Optimization Details\n\nPapers like Mamba-2 in Transformers are SSMs and the In-Datacenter TPU work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency.\n\n\n\n5. RIGOROUS EXPERIMENTAL DESIGN\n\nControlled Comparisons & Ablations\n\nNearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual components (e.g., ablation on vector-quantization vs. scalar quantization in FSQ, or size of codebooks in VQ-VAEs). This approach reveals which design decisions truly matter.\n\n\n\nMultifold Evaluation Metrics\n\nFrom MUSHRA listening tests (SoundStream, BASE TTS) to FID in image synthesis (Scaling Rectified Flow Transformers, FSQ) to perplexity or zero-shot generalization in language (phi-3, Scaling Laws for Neural Language Models), the works demonstrate the value of comprehensive, carefully chosen metrics.\n\n\n\nStress Tests & Edge Cases\n\nWhisper's out-of-distribution speech benchmarks, SoundStream's evaluation on speech + music, or Mamba-2's performance on multi-query associative recall demonstrate the importance of specialized challenge sets. Researchers who craft or adopt rigorous benchmarks and \"red-team\" their models (as in phi-3 safety alignment) are better prepared to address real-world complexities.\n\n\n\n\nSUMMARY\n\nOverall, an ideal researcher in deep learning consistently demonstrates:\n\n - A solid grounding in theoretical and statistical principles\n\n - A talent for proposing and validating new algorithmic solutions\n\n - The capacity to orchestrate data pipelines that scale and reflect real-world diversity\n\n - Awareness of hardware constraints and system-level trade-offs for efficiency\n\n - Thorough and transparent experimental practices\n\n\n\nThese qualities surface across research on speech (Whisper, BASE TTS), language modeling (Scaling Laws, phi-3), specialized hardware (TPU, Transformers are SSMs), and new representation methods (VQ-VAE, FSQ, SoundStream). By balancing these attributes—rigorous math, innovative algorithms, large-scale data engineering, hardware-savvy optimizations, and reproducible experimentation—researchers can produce impactful, trustworthy advancements in foundational deep learning.\n\n\n\n\n\nFOUNDATIONAL PAPERS\n\nThis job description was generated through analysis of the following papers:\n\n - Robust Speech Recognition via Large-Scale Weak Supervision (arXiv:2212.04356)\n\n - Moshi: a speech-text foundation model for real-time dialogue (arXiv:2410.00037)\n\n - Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (arXiv:2403.03206)\n\n - Scaling Laws for Neural Language Models (arXiv:2001.08361)\n\n - BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (arXiv:2402.08093)\n\n - In-Datacenter Performance Analysis of a Tensor Processing Unit (arXiv:1704.04760)\n\n - Neural Discrete Representation Learning (arXiv:1711.00937)\n\n - SoundStream: An End-to-End Neural Audio Codec (arXiv:2107.03312)\n\n - Finite Scalar Quantization: VQ-VAE Made Simple (arXiv:2309.15505)\n\n - Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (arXiv:2404.14219)\n\n - Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality (arXiv:2405.21060)\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is looking for a Strategic Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class Voice AI platform that has been enabling our customers to achieve things previously not attainable with voice. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!\n\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nNOTE: THIS INDIVIDUAL MUST BE BASED WITHIN EITHER EASTERN OR PACIFIC TIME IN THE US.\n\n\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"8884965c-8a55-414c-ba86-a52d527f5dff","title":"Solutions Engineer, Enterprise","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York City, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOPPORTUNITY\n\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\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\n\n\nWHAT YOU’LL OWN:\n\n - Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers.\n\n - Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization.\n\n - Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between.\n\n - Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary.\n\n - Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers.\n\n - Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building.\n\n\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it.\n\n - You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product.\n\n - You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration.\n \n \n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output.\n\n - Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof.\n\n - High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones.\n\n - Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable.\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with voice AI, speech-to-text, NLP, or conversational AI systems.\n\n - Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero.\n\n - Previous experience embedded within a large enterprise customer’s product deployment.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\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\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\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\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\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\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\n\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nDeepgram is looking for a 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\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nNOTE: THIS ROLE IS BASED OUT OF THE EMEA TERRITORY.\n\n\n\n\nREGIONAL EXPECTATIONS\n\n - Based in an EMEA time zone with strong overlap to customer business hours.\n\n - Excellent written and spoken English. Additional European languages are a strong plus.\n\n\n\n\nOPPORTUNITY\n\nDeepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!\n\n\n\n\nWHAT YOU'LL DO\n\n - Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers\n\n - Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Believe there should be no cap to upside and want control of account up-sell potential\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Proven experience in a technical full-cycle sales role\n\n - Experience building your own pipeline from scratch and closing accounts\n\n - Consistent overachievement against sales targets in past experiences\n\n - Strong written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time\n\n - Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.\n\n - It Would Be Great If You Had\n\n - Familiarity with Challenger or Triangle sales methodology\n\n - Experience selling to a technical audience in a similar space\n\n - Experience selling developer tools, infrastructure, or AI/ML technologies.\n\n - Fluency in German, French, Dutch, or other major regional languages.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"98bf5dd8-f42e-4158-9d53-8368f2fdcd99","title":"FP&A Manager","department":"Finance","team":"Finance","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-05-11T16:30:30.360+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/98bf5dd8-f42e-4158-9d53-8368f2fdcd99","applyUrl":"https://jobs.ashbyhq.com/deepgram/98bf5dd8-f42e-4158-9d53-8368f2fdcd99/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 are building a foundational AI infrastructure for speech and voice intelligence. As we scale our enterprise and self-serve revenue motions, we are looking for a strategic and analytical business partner oriented FP&A Manager to support our Go-To-Market organization.
This is not a traditional FP&A role. We expect this person to operate with a multiplied toolkit, using AI agents, automation and modern FP&A platforms to do the work. The analytical heavy lifting (data pulls, model refreshes, variance commentary and dashboard maintenance) should largely run itself. Your role is to build and manage these workflows and own the judgement layer of translating insights into decisions, building trust with senior leaders across the company and driving GTM strategy with clarity and speed.
The FP&A Manager, reporting to the Head of FP&A, will lead ARR and revenue forecasting, drive performance visibility across Sales, Marketing and Customer Success, and partner closely with the Chief Revenue Officer and Chief Marketing Officer to improve predictability, efficiency and capital allocation. This is a highly visible role requiring strong AI & modeling skills, business judgement and the ability to influence senior stakeholders.
ARR & Revenue
Lead monthly and quarterly ARR and revenue forecasts across Enterprise and Self-Service motions.
Build and maintain driver based ARR and revenue models (pipeline, conversion, ramp, pricing, usage and expansion).
Partner closely with RevOps and Data teams to establish automated CRM data pipelines that feed your models continuously.
Translate leading indicators (pipeline coverage, win rates, sales cycles, usage trends) into forward looking insights.
Provide scenario modeling for pricing changes, sales capacity investments and expansion strategies.
Monitor retention, expansion and cohort trends
Business Partnering
Support quota setting, commission calculations, territory design and capacity planning
Evaluate marketing funnel performance, CAC, payback and ROI by channel
Provide clear, data driven insights to influence GTM investment decisions
Drive monthly business reviews and performance reporting
Enjoy using AI tooling in your day to day (Claude, Cursor, or equivalent) to accelerate analysis and work flows
Prefer high ownership and autonomy over rigid process
Get excited about scaling a revenue engine toward IPO readiness
Direct experience implementing AI tooling and scalable FP&A systems to automate workflows and forecasting
Advanced financial modeling skills and the judgement to know when to build versus when to automate
Direct experience supporting sales and marketing
Fluency in SaaS and usage based metrics (ARR, NRR, CAC, LTV, payback)
Executive communication skills with the ability to present insights clearly and confidently
5-7 years of experience in FP&A, strategic finance or investment banking
Experience in Series C+ high growth environments
Experience with usage based revenue forecasting and consumption modeling
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOPPORTUNITY:\n\nAt Deepgram, we are building a foundational AI infrastructure for speech and voice intelligence. As we scale our enterprise and self-serve revenue motions, we are looking for a strategic and analytical business partner oriented FP&A Manager to support our Go-To-Market organization.\n\n\n\nThis is not a traditional FP&A role. We expect this person to operate with a multiplied toolkit, using AI agents, automation and modern FP&A platforms to do the work. The analytical heavy lifting (data pulls, model refreshes, variance commentary and dashboard maintenance) should largely run itself. Your role is to build and manage these workflows and own the judgement layer of translating insights into decisions, building trust with senior leaders across the company and driving GTM strategy with clarity and speed.\n\n\n\nThe FP&A Manager, reporting to the Head of FP&A, will lead ARR and revenue forecasting, drive performance visibility across Sales, Marketing and Customer Success, and partner closely with the Chief Revenue Officer and Chief Marketing Officer to improve predictability, efficiency and capital allocation. This is a highly visible role requiring strong AI & modeling skills, business judgement and the ability to influence senior stakeholders.\n\n\n\n\nWHAT YOU’LL DO\n\nARR & Revenue\n\n - Lead monthly and quarterly ARR and revenue forecasts across Enterprise and Self-Service motions.\n\n - Build and maintain driver based ARR and revenue models (pipeline, conversion, ramp, pricing, usage and expansion).\n\n - Partner closely with RevOps and Data teams to establish automated CRM data pipelines that feed your models continuously.\n\n - Translate leading indicators (pipeline coverage, win rates, sales cycles, usage trends) into forward looking insights.\n\n - Provide scenario modeling for pricing changes, sales capacity investments and expansion strategies.\n\n - Monitor retention, expansion and cohort trends\n\nBusiness Partnering\n\n - Support quota setting, commission calculations, territory design and capacity planning\n\n - Evaluate marketing funnel performance, CAC, payback and ROI by channel\n\n - Provide clear, data driven insights to influence GTM investment decisions\n\n - Drive monthly business reviews and performance reporting\n \n \n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Enjoy using AI tooling in your day to day (Claude, Cursor, or equivalent) to accelerate analysis and work flows\n\n - Prefer high ownership and autonomy over rigid process\n\n - Get excited about scaling a revenue engine toward IPO readiness\n \n \n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Direct experience implementing AI tooling and scalable FP&A systems to automate workflows and forecasting\n\n - Advanced financial modeling skills and the judgement to know when to build versus when to automate\n\n - Direct experience supporting sales and marketing\n\n - Fluency in SaaS and usage based metrics (ARR, NRR, CAC, LTV, payback)\n\n - Executive communication skills with the ability to present insights clearly and confidently\n \n \n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - 5-7 years of experience in FP&A, strategic finance or investment banking\n\n - Experience in Series C+ high growth environments\n\n - Experience with usage based revenue forecasting and consumption modeling\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"9a030b32-d671-43e0-a221-4653bb73ba29","title":"Research Engineer, Machine Learning Systems","department":"Research","team":"Research","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}},{"location":"Ann Arbor, MI","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Ann Arbor, MI"}}}],"publishedAt":"2026-04-23T15:43:51.953+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/9a030b32-d671-43e0-a221-4653bb73ba29","applyUrl":"https://jobs.ashbyhq.com/deepgram/9a030b32-d671-43e0-a221-4653bb73ba29/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.
Deepgram is seeking a highly skilled and versatile Machine Learning Engineer to join our Research team. As a Member of the Research Staff, you will partner with research scientists to prototype and validate novel modeling ideas, then scale them through robust training systems for speech technologies, internal tooling, and innovative data strategies. You'll work at the intersection of machine learning, data infrastructure, and internal tooling to support our mission of building world-class speech recognition and synthesis systems. On the Research team, you will experiment with new technologies and techniques, while also working on product-focused deliverables, learning from colleagues with a wide range of expertise in AI and machine learning as you go.
Scalable Model Training: Architect and manage horizontally scalable systems that dramatically accelerate the end-to-end training lifecycle for Speech-to-Text (STT) and Text-to-Speech (TTS) models. This includes far more than automated training: the role focuses on making model development significantly faster and more efficient through optimized data preparation and management, high-throughput training pipelines, distributed infrastructure, and automated evaluation tooling.
Tooling & Accessibility: Design and implement internal UIs and tools that make ML systems and workflows accessible to non-technical stakeholders across the company. These UIs should be designed to provide transparency and flexibility to internally built tooling.
Infrastructure & Tools: Oversee and manage training tooling, job orchestration, experiment tracking, and data storage.
We are seeking Members of the Research Staff who:
See \"unsolved\" problems as opportunities to pioneer entirely new approaches
Can identify the one critical experiment that will validate or kill an idea in days, not months
Have the vision to scale successful proofs-of-concept 100x
Are obsessed with using AI to automate and amplify your own impact
If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.
Strong experience with the machine learning research pipeline, particularly in STT or related speech domains. This includes experimenting with and evaluating new architectures and modeling approaches, and implementing large-scale training systems.
Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect.
Familiarity with ML lifecycle tools such as MLflow.
Experience building internal tools or dashboards for non-technical users.
Hands-on experience with data engineering practices for unstructured audio and text data.
Comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders.
At Deepgram, you’ll help shape the future of human–machine communication. Our research culture prioritizes ownership, experimentation, and real-world impact. As a Member of the Research Staff, you'll be empowered to build tools and systems that accelerate ML research and product deployment at scale.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.\n\n\n\n\nTHE ROLE\n\nDeepgram is seeking a highly skilled and versatile Machine Learning Engineer to join our Research team. As a Member of the Research Staff, you will partner with research scientists to prototype and validate novel modeling ideas, then scale them through robust training systems for speech technologies, internal tooling, and innovative data strategies. You'll work at the intersection of machine learning, data infrastructure, and internal tooling to support our mission of building world-class speech recognition and synthesis systems. On the Research team, you will experiment with new technologies and techniques, while also working on product-focused deliverables, learning from colleagues with a wide range of expertise in AI and machine learning as you go.\n\n\n\nKEY RESPONSIBILITIES\n\n - Scalable Model Training: Architect and manage horizontally scalable systems that dramatically accelerate the end-to-end training lifecycle for Speech-to-Text (STT) and Text-to-Speech (TTS) models. This includes far more than automated training: the role focuses on making model development significantly faster and more efficient through optimized data preparation and management, high-throughput training pipelines, distributed infrastructure, and automated evaluation tooling.\n \n\n - Tooling & Accessibility: Design and implement internal UIs and tools that make ML systems and workflows accessible to non-technical stakeholders across the company. These UIs should be designed to provide transparency and flexibility to internally built tooling.\n \n\n - Infrastructure & Tools: Oversee and manage training tooling, job orchestration, experiment tracking, and data storage.\n \n\n\nTHE CHALLENGE\n\nWe are seeking Members of the Research Staff who:\n\n - See \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\n - Can identify the one critical experiment that will validate or kill an idea in days, not months\n\n - Have the vision to scale successful proofs-of-concept 100x\n\n - Are obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\n\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Strong experience with the machine learning research pipeline, particularly in STT or related speech domains. This includes experimenting with and evaluating new architectures and modeling approaches, and implementing large-scale training systems.\n\n - Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect.\n\n - Familiarity with ML lifecycle tools such as MLflow.\n\n - Experience building internal tools or dashboards for non-technical users.\n\n - Hands-on experience with data engineering practices for unstructured audio and text data.\n\n - Comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders.\n \n\n\nWHY JOIN DEEPGRAM?\n\nAt Deepgram, you’ll help shape the future of human–machine communication. Our research culture prioritizes ownership, experimentation, and real-world impact. As a Member of the Research Staff, you'll be empowered to build tools and systems that accelerate ML research and product deployment at scale.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"9cb09363-9b68-4957-869a-da70b95ad6bd","title":"Senior 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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nNote: this is a remote role that is to be based out of one of the following countries:\n\n - United Kingdom\n\n - Ireland\n\n - Scotland\n\n - Switzerland\n\n - Germany\n\n - Austria\n\n - Netherlands\n\n - Spain\n\n\n\n\nTHE OPPORTUNITY\n\nDeepgram is expanding globally and building a true follow‑the‑sun model. We are hiring a Solutions Architect in EMEA to own complex post‑sales engagements, guide customers to production, and strengthen our technical support coverage for the region. You will work across the full customer lifecycle, with a primary focus on architecture, implementation, and Tier‑3 technical problem solving. You will also contribute to pre‑sales validation when deep technical credibility is needed, partner with Product and Engineering on feedback and roadmap, and help mature our global operations.\n\n\n\n\nABOUT APPLIED ENGINEERING AT DEEPGRAM\n\nApplied Engineering combines functions that other companies split across Solutions Engineering, Solutions Architecture, Consulting, and Senior Technical Support. We are the technical interface from first discovery through successful production and beyond. The team partners closely with Sales, Customer Success, Product, and DevRel to deliver an enterprise‑grade experience that is fast, clear, and outcome‑oriented.\n\n\n\n\nWHAT YOU’LL DO\n\n - Lead architecture and implementation for enterprise deployments that use Deepgram’s speech‑to‑text, text‑to‑speech, and voice‑agent capabilities.\n\n - Own post‑sales technical success for assigned accounts. Unblock integrations, optimize accuracy and latency, and guide customers to stable production.\n\n - Serve as the Tier‑3 escalation point for complex issues. Drive root cause analysis, propose mitigations, and write durable fixes or automation when possible.\n\n - Design reference architectures and implementation patterns for common EMEA customer use cases including contact centers, voice analytics, QA, and AI agents.\n\n - Build high‑quality samples, internal tools, or scripts that make repeatable tasks easier for customers and for our team.\n\n - Contribute to pre‑sales discovery and POCs when deep technical direction is needed. Translate business goals to a concrete plan with clear success criteria.\n\n - Partner with Product and Engineering to prioritize fixes and features. Bring crisp customer signals that improve our roadmap.\n\n - Contribute to knowledge systems. Capture runbooks, playbooks, and docs that scale your expertise across regions.\n\n - Participate in an on‑call or incident rotation appropriate for the region and customer support tier. Help us meet or outperform regional SLAs.\n\n\nREGIONAL EXPECTATIONS\n\n - Based in an EMEA time zone with reliable overlap to customer business hours.\n\n - Excellent written and spoken English. Additional European languages are a strong plus.\n\n - Familiarity with GDPR, data privacy expectations, and enterprise security reviews common across EMEA.\n\n - Ability to travel within the region for critical customer milestones, estimated 10–20 percent.\n\n\n\n\nYOUR FIRST 90 DAYS\n\nFirst 30 days\n\nRamp on Deepgram’s platform, APIs, SDKs, self-hosted deployments, and support practices. Shadow calls across pre-sales, post-sales, and support. Begin owning low-risk technical tasks for an active account and contribute improvements to runbooks or sample code.\n\nBy day 60\n\nOwn two to three customer workstreams end-to-end. Lead discovery for one new implementation or migration. Publish one reusable asset such as a deployment guide, Helm example, or troubleshooting playbook.\n\nBy day 90\n\nAct as primary technical owner for several EMEA accounts in production. Close at least one complex investigation with measurable customer impact. Present a short readout on a repeated regional pattern and the automation or content you created to solve it.\n\n\n\n\nYOU’LL THRIVE HERE IF YOU\n\n - Enjoy solving hard customer problems at the code, container, and cloud layers.\n\n - Like translating messy real‑world constraints into clear architectures and plans.\n\n - Are comfortable writing and reading production‑grade code, not just sample snippets.\n\n - Value crisp documentation, reproducible runbooks, and operational excellence.\n\n - Care about delivering outcomes, not just closing tickets.\n\n\nMINIMUM QUALIFICATIONS\n\n - 5 or more years in Solutions Architecture, Solutions Engineering, or similar customer‑facing technical roles.\n\n - Professional software engineering experience in at least one language such as Python, Rust, or JavaScript. You can build POCs and tools that real users run.\n\n - Hands‑on experience with modern cloud platforms. Comfortable with containerization and orchestration, for example Docker and Kubernetes, and with secure network design for API‑driven systems.\n\n - Proven ownership of complex post‑sales work such as production deployments, migrations, performance tuning, and incident response.\n\n - Clear written and verbal communication across both technical and executive audiences.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with speech recognition, TTS, or building voice agents that orchestrate LLMs.\n\n - Familiarity with WER analysis, model selection and tuning, and accuracy‑versus‑latency tradeoffs.\n\n - Experience operating self‑hosted systems, including Helm‑based deployments and observability for production services.\n\n - Strong understanding of authentication, authorization, data residency, and compliance topics that appear in EMEA enterprise reviews.\n\n - Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish.\n\n\nHOW WE WORK\n\n - Remote across EMEA with periodic regional meetups.\n\n - Collaboration with colleagues in the Americas and APAC to support continuous coverage.\n\n - Shared playbooks, defined escalation paths, and measurable SLAs.\n\n\nINTERVIEW PROCESS\n\n - Recruiter screen focused on experience, motivations, and logistics.\n\n - Hiring manager conversation focused on technical depth and customer impact.\n\n - Technical assessment that mirrors real work. Expect practical coding, architecture discussion, and debugging.\n\n - Panel interviews with cross‑functional partners.\n\n - A presentation simulating a post-sales customer engagement, based on a provided case study. Additionally, you’ll be asked to present a past customer‑facing technical engagement that you led, including the problem, your approach, and measurable outcomes.\n\n\n\nIf this sounds like you, we would love to meet you!\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"9e9ceef6-e22c-4157-906c-91b2da8e22ae","title":"Enterprise Account Executive - Consumer Industries","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 enterprise SaaS role.
You will be selling Deepgram's voice AI infrastructure into some of the world's most recognizable consumer-facing companies — spanning retail, restaurant, hospitality, travel, commerce, and digital consumer platforms.
These organizations are reimagining how they engage customers through AI-powered experiences, intelligent automation, contact centers, voice commerce, and conversational interfaces. Your job is to land and expand strategic accounts, helping enterprises embed Deepgram as the voice layer powering their customer experiences and products.
This is a true enterprise hunting role: greenfield, high-ownership, and high impact.
We prefer candidates based in San Francisco, where many of our customers, partners, and AI ecosystem relationships are concentrated.
We are also open to remote candidates with the ability to travel regularly to customers and industry events.
Identify and break into strategic consumer-facing organizations across retail, restaurant, hospitality, travel, commerce, and adjacent industries
Create pipeline from scratch through outbound prospecting, executive networking, and ecosystem relationships
Drive new logo acquisition while building long-term expansion opportunities
Run full-cycle sales motions with business, product, engineering, and executive stakeholders
Own discovery → evaluation → POC → negotiation → close
Navigate large, matrixed organizations and multi-stakeholder buying committees
Engage with executives across Product, Engineering, Customer Experience, Digital Innovation, Contact Center, and IT organizations
Position Deepgram as foundational AI infrastructure powering customer-facing experiences and business-critical workflows
Translate highly technical capabilities into measurable business outcomes
Initial opportunities may begin as focused deployments and grow into strategic, multi-million-dollar platform relationships
Identify expansion opportunities across business units, geographies, and product lines
Build executive relationships that drive long-term strategic partnerships
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
Demonstrated track record of closing large, complex enterprise SaaS deals ($100K–$500K+ ACV and beyond)
Experience running full-cycle sales motions from outbound → discovery → evaluation → close
History of consistently exceeding quota in competitive markets
Experience selling into large enterprise organizations, ideally within consumer-facing industries
Comfortable selling technical products such as AI, APIs, cloud infrastructure, data platforms, developer tools, or other complex technology solutions
Ability to engage both business and technical buyers throughout the sales process
Comfortable engaging VP, SVP, and C-level stakeholders as a trusted business partner
Able to connect technical capabilities to strategic business initiatives, customer experience goals, and operational outcomes
Experience managing complex deal cycles involving product, engineering, operations, procurement, legal, security, and executive stakeholders
Able to effectively multi-thread and build consensus across large organizations
Learns quickly, adapts in ambiguity, and operates effectively without heavy structure or enablement
Thrives in early-stage, rapidly evolving GTM environments where you're expected to build, not inherit
Experience selling AI, voice AI, conversational AI, developer tools, APIs, cloud infrastructure, or platform technologies
Experience selling into retail, restaurant, hospitality, travel, e-commerce, consumer technology, or other customer-centric industries
Familiarity with customer experience, contact center, digital transformation, or AI adoption initiatives
Experience navigating highly technical buying processes involving product and engineering teams
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nThis is not a typical enterprise SaaS role.\n\nYou will be selling Deepgram's voice AI infrastructure into some of the world's most recognizable consumer-facing companies — spanning retail, restaurant, hospitality, travel, commerce, and digital consumer platforms.\n\nThese organizations are reimagining how they engage customers through AI-powered experiences, intelligent automation, contact centers, voice commerce, and conversational interfaces. Your job is to land and expand strategic accounts, helping enterprises embed Deepgram as the voice layer powering their customer experiences and products.\n\nThis is a true enterprise hunting role: greenfield, high-ownership, and high impact.\n\n\nLOCATION\n\nWe prefer candidates based in San Francisco, where many of our customers, partners, and AI ecosystem relationships are concentrated.\n\nWe are also open to remote candidates with the ability to travel regularly to customers and industry events.\n\n\nWHAT YOU'LL DO\n\n\nBUILD A NEW ENTERPRISE MOTION\n\n - Identify and break into strategic consumer-facing organizations across retail, restaurant, hospitality, travel, commerce, and adjacent industries\n\n - Create pipeline from scratch through outbound prospecting, executive networking, and ecosystem relationships\n\n - Drive new logo acquisition while building long-term expansion opportunities\n\n\nCLOSE COMPLEX ENTERPRISE DEALS\n\n - Run full-cycle sales motions with business, product, engineering, and executive stakeholders\n\n - Own discovery → evaluation → POC → negotiation → close\n\n - Navigate large, matrixed organizations and multi-stakeholder buying committees\n\n\nSELL TECHNICAL AI INFRASTRUCTURE\n\n - Engage with executives across Product, Engineering, Customer Experience, Digital Innovation, Contact Center, and IT organizations\n\n - Position Deepgram as foundational AI infrastructure powering customer-facing experiences and business-critical workflows\n\n - Translate highly technical capabilities into measurable business outcomes\n\n\nLAND AND EXPAND\n\n - Initial opportunities may begin as focused deployments and grow into strategic, multi-million-dollar platform relationships\n\n - Identify expansion opportunities across business units, geographies, and product lines\n\n - Build executive relationships that drive long-term strategic partnerships\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n\nDEAL 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\nPROVEN ENTERPRISE CLOSER\n\n - Demonstrated track record of closing large, complex enterprise SaaS deals ($100K–$500K+ ACV and beyond)\n\n - Experience running full-cycle sales motions from outbound → discovery → evaluation → close\n\n - History of consistently exceeding quota in competitive markets\n\n\nENTERPRISE AND TECHNICAL SALES EXPERIENCE\n\n - Experience selling into large enterprise organizations, ideally within consumer-facing industries\n\n - Comfortable selling technical products such as AI, APIs, cloud infrastructure, data platforms, developer tools, or other complex technology solutions\n\n - Ability to engage both business and technical buyers throughout the sales process\n\n\nEXECUTIVE PRESENCE\n\n - Comfortable engaging VP, SVP, and C-level stakeholders as a trusted business partner\n\n - Able to connect technical capabilities to strategic business initiatives, customer experience goals, and operational outcomes\n\n\nSTAKEHOLDER NAVIGATION\n\n - Experience managing complex deal cycles involving product, engineering, operations, procurement, legal, security, and executive stakeholders\n\n - Able to effectively multi-thread and build consensus across large organizations\n\n\nHIGH SLOPE / BUILDER MINDSET\n\n - Learns quickly, adapts in ambiguity, and operates effectively without heavy structure or enablement\n\n - Thrives in early-stage, rapidly 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 AI, conversational AI, developer tools, APIs, cloud infrastructure, or platform technologies\n\n - Experience selling into retail, restaurant, hospitality, travel, e-commerce, consumer technology, or other customer-centric industries\n\n - Familiarity with customer experience, contact center, digital transformation, or AI adoption initiatives\n\n - Experience navigating highly technical buying processes involving product and engineering teams\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"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 or San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs.
This role also includes occasional travel to meet with customers, support sales engagements, and participate in key onsite interactions.
Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers.
Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization.
Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between.
Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary.
Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers.
Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building.
You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it.
You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product.
You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration.
Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output.
Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof.
High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones.
Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable.
Experience with voice AI, speech-to-text, NLP, or conversational AI systems.
Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero.
Previous experience embedded within a large enterprise customer’s product deployment.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOPPORTUNITY\n\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\n\n\nLOCATION\n\nThis role is based in New York City or San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs.\n\nThis role also includes occasional travel to meet with customers, support sales engagements, and participate in key onsite interactions.\n\n\n\n\nWHAT YOU’LL OWN:\n\n - Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers.\n\n - Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization.\n\n - Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between.\n\n - Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary.\n\n - Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers.\n\n - Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building.\n\n\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it.\n\n - You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product.\n\n - You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration.\n \n \n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output.\n\n - Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof.\n\n - High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones.\n\n - Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable.\n\n\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience with voice AI, speech-to-text, NLP, or conversational AI systems.\n\n - Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero.\n\n - Previous experience embedded within a large enterprise customer’s product deployment.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is looking for an 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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"aafbab17-4caa-4b87-811c-21acfc566cf4","title":"APAC Partner Business Development Manager","department":"Sales","team":"Business Development","employmentType":"FullTime","location":"Singapore","secondaryLocations":[],"publishedAt":"2026-05-15T01:49:41.881+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":null,"jobUrl":"https://jobs.ashbyhq.com/deepgram/aafbab17-4caa-4b87-811c-21acfc566cf4","applyUrl":"https://jobs.ashbyhq.com/deepgram/aafbab17-4caa-4b87-811c-21acfc566cf4/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Deepgram is the Voice AI platform powering the next generation of enterprise voice agents, contact centers, and real-time speech applications. As we continue expanding globally, APAC represents one of our highest-growth strategic regions for partner-led expansion.
We are hiring an APAC Partner Business Development Manager to build and scale Deepgram’s partner ecosystem across ANZ, ASEAN, Japan, Korea, India, and Greater China. In this role, you will drive sell-to, sell-through, and sell-with motions alongside strategic partners including hyperscalers, ISVs, CCaaS/CX platforms, GSIs, telcos, and regional system integrators.
This is a highly cross-functional, builder-oriented role focused on growing partner-sourced and partner-influenced revenue across diverse APAC markets. You’ll work closely with Sales, Solutions Engineering, Product, Marketing, and global partner teams to establish Deepgram as a leading Voice AI platform in the region.
If you thrive in fast-moving environments, enjoy building new GTM motions, and are excited about shaping the future of AI partnerships in APAC, we’d love to meet you.
Build and manage strategic partner relationships across APAC
Develop joint value propositions, GTM plans, and regional co-sell motions tailored to local market dynamics
Establish Deepgram as a strategic Voice AI partner across key ecosystems in the region
Partner closely with hyperscalers, ISVs, CCaaS/CX platforms, GSIs, telcos, and regional integrators
Generate and accelerate partner-sourced and partner-influenced pipeline across APAC markets
Support co-sell opportunities through customer meetings, presentations, workshops, and negotiations
Identify, develop, and close new partner-driven opportunities across ANZ, ASEAN, Japan, Korea, India, and Greater China
Monitor pipeline progression and maintain strong forecasting discipline
Align regional execution with global revenue and partnership goals
Identify and onboard new strategic partners aligned with Deepgram’s platform and regional expansion priorities
Help launch new partner motions, regional programs, and GTM initiatives
Collaborate internally to develop partner enablement content, localized assets, and solution positioning
Participate in regional partner and customer engagements, both virtual and in-person
Stay informed on APAC market trends, competitive dynamics, AI adoption, regulatory requirements, and sovereign AI initiatives
Act as a strategic voice for APAC market needs internally
Proven experience in business development, partnerships, alliance management, or enterprise sales within the technology industry
Experience driving revenue through strategic partnerships and co-sell motions across APAC markets
Strong understanding of APAC business dynamics and experience operating across multiple regions including ANZ, ASEAN, Japan, Korea, India, and/or Greater China
Experience partnering with cloud providers, ISVs, GSIs, telcos, CCaaS/CX platforms, or regional system integrators
Excellent communication, negotiation, and relationship management skills
Analytical mindset with strong operational and forecasting discipline
Self-starter mentality with the ability to thrive in fast-paced, ambiguous environments
Strong cross-functional collaboration skills across global teams and time zones
Willingness to travel across APAC as needed
Experience within AI, Voice AI, Speech AI, CCaaS, or adjacent technology markets
Existing relationships within AWS, GCP, Azure, APAC GSIs, telcos, or regional ecosystem partners
Experience launching new partner motions or regional GTM programs from zero
Working proficiency in a second APAC language such as Mandarin, Japanese, Korean, or Bahasa
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is the Voice AI platform powering the next generation of enterprise voice agents, contact centers, and real-time speech applications. As we continue expanding globally, APAC represents one of our highest-growth strategic regions for partner-led expansion.\n\nWe are hiring an APAC Partner Business Development Manager to build and scale Deepgram’s partner ecosystem across ANZ, ASEAN, Japan, Korea, India, and Greater China. In this role, you will drive sell-to, sell-through, and sell-with motions alongside strategic partners including hyperscalers, ISVs, CCaaS/CX platforms, GSIs, telcos, and regional system integrators.\n\nThis is a highly cross-functional, builder-oriented role focused on growing partner-sourced and partner-influenced revenue across diverse APAC markets. You’ll work closely with Sales, Solutions Engineering, Product, Marketing, and global partner teams to establish Deepgram as a leading Voice AI platform in the region.\n\nIf you thrive in fast-moving environments, enjoy building new GTM motions, and are excited about shaping the future of AI partnerships in APAC, we’d love to meet you.\n\n\nWHAT YOU’LL DO\n\n\nDRIVE REGIONAL PARTNER GROWTH\n\n - Build and manage strategic partner relationships across APAC\n\n - Develop joint value propositions, GTM plans, and regional co-sell motions tailored to local market dynamics\n\n - Establish Deepgram as a strategic Voice AI partner across key ecosystems in the region\n\n\nDRIVE SELL-TO, SELL-THROUGH, AND SELL-WITH MOTIONS\n\n - Partner closely with hyperscalers, ISVs, CCaaS/CX platforms, GSIs, telcos, and regional integrators\n\n - Generate and accelerate partner-sourced and partner-influenced pipeline across APAC markets\n\n - Support co-sell opportunities through customer meetings, presentations, workshops, and negotiations\n\n\nBUILD PIPELINE & REVENUE\n\n - Identify, develop, and close new partner-driven opportunities across ANZ, ASEAN, Japan, Korea, India, and Greater China\n\n - Monitor pipeline progression and maintain strong forecasting discipline\n\n - Align regional execution with global revenue and partnership goals\n\n\nEXPAND THE APAC PARTNER ECOSYSTEM\n\n - Identify and onboard new strategic partners aligned with Deepgram’s platform and regional expansion priorities\n\n - Help launch new partner motions, regional programs, and GTM initiatives\n\n - Collaborate internally to develop partner enablement content, localized assets, and solution positioning\n\n\nREPRESENT DEEPGRAM IN APAC\n\n - Participate in regional partner and customer engagements, both virtual and in-person\n\n - Stay informed on APAC market trends, competitive dynamics, AI adoption, regulatory requirements, and sovereign AI initiatives\n\n - Act as a strategic voice for APAC market needs internally\n\n\nWHAT YOU BRING\n\n - Proven experience in business development, partnerships, alliance management, or enterprise sales within the technology industry\n\n - Experience driving revenue through strategic partnerships and co-sell motions across APAC markets\n\n - Strong understanding of APAC business dynamics and experience operating across multiple regions including ANZ, ASEAN, Japan, Korea, India, and/or Greater China\n\n - Experience partnering with cloud providers, ISVs, GSIs, telcos, CCaaS/CX platforms, or regional system integrators\n\n - Excellent communication, negotiation, and relationship management skills\n\n - Analytical mindset with strong operational and forecasting discipline\n\n - Self-starter mentality with the ability to thrive in fast-paced, ambiguous environments\n\n - Strong cross-functional collaboration skills across global teams and time zones\n\n - Willingness to travel across APAC as needed\n\n\nNICE TO HAVE\n\n - Experience within AI, Voice AI, Speech AI, CCaaS, or adjacent technology markets\n\n - Existing relationships within AWS, GCP, Azure, APAC GSIs, telcos, or regional ecosystem partners\n\n - Experience launching new partner motions or regional GTM programs from zero\n\n - Working proficiency in a second APAC language such as Mandarin, Japanese, Korean, or Bahasa\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOPPORTUNITY:\n\nDeepgram is 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\n\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\n\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\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\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\n\n\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\n\n\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nABOUT DEEPGRAM\n\nDeepgram is the foundational AI company for voice. We build the models that allow machines to hear, understand, and speak to humans with zero latency. As we scale our usage-based economy, we are building the \"Intelligence Layer\"—a system of autonomous agents that monitor, reason, and act on our data to drive NRR and operational excellence.\n\n\n\n\nTHE ROLE\n\nReporting to the Head of Decision Intelligence, you are the founding engineer of the Data Intelligence team. While the Head of Data sets the strategic \"Brain\" of the company, you build the nervous system. You are not building legacy dashboards; instead you are building the API-based tools, dbt models, and semantic layers that allow AI agents to navigate our data environment autonomously.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Semantic Layer Architecture: Build and maintain high-fidelity dbt and SQL models that serve as the \"ground truth\" for our complex, usage-based revenue models.\n\n - Agent Tooling & Integration: Develop the tools and permissions frameworks that allow \"Analyst Agents\" to query Athena, correlate Salesforce churn signals, and identify API latency issues.\n\n - Infrastructure Evolution: Serve as the technical bridge to the Engineering/Infra team to ensure our data contracts are \"agent-ready\" and highly reliable.\n\n - The \"Unlock Audio Intelligence\" Project: Partner with the Head of Data to ingest thousands of hours of internal calls using Deepgram’s own models, turning unstructured audio into queryable insights for GTM teams.\n\n - Automation Obsession: Maintain a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents.\n \n \n\n\nREQUIREMENTS\n\n - Experience: 5+ years in high-growth Data or AI Engineering roles.\n\n - AI-Native Technical Skills: Mastery of SQL and Python (production-grade) with a proven track record of building RAG or Agentic systems on top of structured data.\n\n - Usage-Based SaaS Fluency: Familiarity with the metrics of an API-first business, such as consumption patterns, gross margins, and NRR.\n\n - Builder Mindset: Comfort with \"work-in-progress\" infrastructure and the ability to turn messy, siloed data into high-impact business logic.\n \n \n\n\nBONUS POINTS\n\n - Prior experience as a Software Engineer or Data Engineer.\n\n - Experience with real-time billing and consumption systems.\n\n - Contributions to open-source data or AI projects.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOPPORTUNITY\n\nDeepgram is seeking a Senior Applied Engineer to join our Applied Engineering team, operating in the Solutions Engineer role with a focus on federal customers. In this role, you will embed directly with our most strategic federal accounts to lead complex deployments of Deepgram's Voice AI platform in production environments where mission performance matters, delivery is urgent, and ambiguity is the default.\n\n\nYou will own the full technical lifecycle of federal engagements, from initial discovery and proof-of-concept through production deployment and ongoing optimization. You'll map customer problems, structure delivery, and ship solutions fast. This includes scoping, sequencing, and building full-stack integrations that create measurable mission impact while driving clarity across internal and external teams. Along the way, you'll identify reusable patterns, codify best practices, and share field signals that influence Deepgram's product roadmap.\n\n\nAs a member of the Applied Engineering team, you'll serve as the trusted technical thought partner for federal stakeholders, guiding adoption, maximizing operational value, and ensuring successful deployments at scale. While your engagements will primarily involve federal customers, you'll remain a core part of the broader Applied Engineering team and may contribute to commercial engagements where your expertise is valuable.\n\n\n\n\nNOTE: THIS ROLE IS BASED REMOTELY OUT OF THE WASHINGTON D.C. METROPOLITAN AREA.\n\n\n\n\nABOUT APPLIED ENGINEERING AT DEEPGRAM\n\nThe Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Sales Engineering, Solutions Architecture, Implementation, Forward-Deployed Engineering, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Relations (DevRel) teams to ensure a positive, growth-focused experience for our customers, as well as with Product and Engineering teams to deliver solutions that meet customer needs. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers.\n\nAs a Senior Applied Engineer operating in the FDE role for federal engagements, you'll work with a high degree of autonomy in customer environments that often have unique infrastructure constraints, compliance requirements, and security considerations. Your work will directly shape how federal agencies leverage Voice AI to achieve their missions.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own technical delivery across federal deployments, from first prototype to stable production\n\n - Embed deeply with federal customers to design and build mission-critical applications powered by Deepgram's Voice AI models\n\n - Lead technical discovery and solution design for federal prospects and customers, partnering with Account Executives to navigate complex government sales and procurement cycles\n\n - Prototype and build full-stack integrations using Python, JavaScript, Rust, or comparable stacks that deliver real mission impact\n\n - Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications\n\n - Proactively guide federal stakeholders on maximizing operational value from Deepgram's platform, including performance optimization and deployment strategies\n\n - Scope work, sequence delivery, and remove blockers early, making deliberate trade-offs between scope, speed, and quality\n\n - Build and manage relationships with customer leadership and technical stakeholders to ensure successful deployment and scale\n\n - Contribute directly to code when clarity or momentum depends on it\n\n - Codify working patterns into tools, playbooks, reference architectures, and building blocks the broader team can use\n\n - Share field feedback with Product and Engineering to influence model and product development\n\n - Serve as an escalation point for complex technical issues in federal deployments\n\n - Analyze deployment patterns to identify product improvement opportunities and inform Deepgram's federal go-to-market strategy\n\n\nTIME ALLOCATION\n\n - 40% — Embedded customer delivery: deployments, integrations, and technical problem-solving at federal customer sites and facilities\n\n - 25% — Pre-sales technical engagement: discovery, demos, proof-of-concepts, and proposal support\n\n - 20% — Building reusable solutions, automation, documentation, and reference architectures\n\n - 15% — Internal collaboration: product feedback, knowledge sharing, and contributing to Applied Engineering strategy\n \n \n\n\nYOUR FIRST 90 DAYS\n\nFirst 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Gain proficiency with our core APIs and documentation. Shadow active customer engagements across both commercial and federal accounts to build familiarity with how the Applied Engineering team operates, the deployment patterns we use, and the specific requirements of government environments.\n\n60 Days: Begin taking ownership of federal customer engagements, leading technical discovery and developing proof-of-concepts for government prospects. Start contributing to federal-specific technical content, reference architectures, and deployment guides. Participate in sales strategy sessions and provide technical insights on active federal deals.\n\n90 Days: Own the full technical relationship with assigned federal accounts. Develop and deliver complex solutions addressing specific mission challenges. Establish patterns for repeatable federal deployments and begin contributing to the team's federal go-to-market methodology.\n\n\n\n\nYOU'LL LOVE THIS ROLE IF YOU\n\n - Thrive in high-ambiguity, mission-driven environments where you need to move fast and make sound decisions under pressure\n\n - Are passionate about translating complex technical capabilities into real operational value for government missions\n\n - Enjoy embedding deeply with customers, building trust, and becoming their go-to technical partner\n\n - Find satisfaction in shipping production systems that make a tangible difference\n\n - Are energized by the challenge of deploying cutting-edge Voice AI in complex, constrained environments\n\n - See yourself as an engineer first who happens to be great with customers, not the other way around\n\n - Can ruthlessly prioritize across multiple projects and operate with high autonomy\n\n\n\n\nIT'S IMPORTANT TO US THAT YOU HAVE\n\n - Active Top Secret/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\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nNOTE: THIS INDIVIDUAL MUST BE BASED WITHIN EITHER EASTERN OR PACIFIC TIME IN THE US.\n\n\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\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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":"2026-06-06T01:02:56.954+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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"c819e26b-28a4-4373-b50f-272224e36f80","title":"Associate General Counsel (Product and Research)","department":"G&A","team":"Legal","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-06-15T23:00:07.958+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/c819e26b-28a4-4373-b50f-272224e36f80","applyUrl":"https://jobs.ashbyhq.com/deepgram/c819e26b-28a4-4373-b50f-272224e36f80/application","descriptionHtml":"Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
We're looking for an exceptional lawyer to join our lean, high-impact legal team and lead legal work across our models and the products built on them. This role is for someone who thrives at the intersection of law and model development — a builder with sharp instincts and sound judgment who is steady under ambiguity and fluent in product.
Our legal team has a real seat at the table. You'll partner with our research and data teams on the novel legal questions inside model development, and advise our product teams on the experiences we put in front of users. You'll help Deepgram move at the speed of an ambitious voice AI company while keeping pace with the AI legal frameworks coming online internationally.
Many of the questions in our space don't have settled answers yet. That's the best part of the job. You'll think them through from first principles, design the frameworks that let us scale, and help Deepgram continue to earn its place as the trusted leader in voice AI.
This role is ideal for someone with genuine conviction that voice is the most consequential interface with AI, and who wants to spend the next phase of their career on the legal questions that will define it.
You'll be the third lawyer on our team, reporting directly to our General Counsel and helping establish a legal function that scales with a company on a steep trajectory, using AI as your default mode of working to set the standard for what AI-native legal work looks like.
What You’ll Do
Be the go-to counsel for our data and research teams on the legal questions inside model development, and design the frameworks that let research move fast with confidence
Partner with our product teams to ship products and features that delight our users.
Draft and review the consumer-facing terms, policies, disclosures, and marketing that go with our products — written for customers, not lawyers
Continue building out our privacy program — and tell its story to customers — to deepen customer trust in our products
Stay ahead of the AI legal frameworks developing internationally, translate developments into principles and policies our teams can act on, and help Deepgram develop a clear point of view on responsible AI development
Develop deep expertise across the legal questions defining AI today, and help advance how our company, and the broader field, thinks about them
Build the AI-native legal function at Deepgram with workflows and systems that scale our team’s impact
You'll Love This Role If You
Are passionate about AI and the ability to work alongside cutting-edge researchers and engineering teams
Get energized by being the first — building systems from scratch, establishing foundational practices, and turning novel legal questions into ones with answers
Are very practical in addressing legal issues and allergic to unnecessary friction
Have an abiding spirit of idealism about your chosen profession — you're not just answering legal questions, you're building something that matters
Have a point of view on what good lawyering looks like and a healthy sense of humor about everything else
It's Important To Us That You Have
JD from a U.S. accredited law school and 7–15 years of experience in legal practice (or more), in-house, at a firm, or both
Demonstrated experience counseling product, research, or engineering teams on the legal questions that come up in how AI gets built and deployed
Fluency in the issues that matter most to us: privacy, IP, data licensing, consumer protection, and the international AI regulatory landscape. Depth in some, excited to learn the rest
Recognize that law is about the grey areas, and are comfortable living in them, while giving clear and actionable advice
An AI-native legal practice — workflows you've built into your own work, not just tools you've used
Exceptional writing — precise, plain, and compelling
It Would Be Great If You Had
Hands-on experience at a foundation model company or AI research lab — you've seen how legal questions actually arise inside model development
Depth in one or more emerging AI regulatory regimes (EU AI Act, US states, UK, APAC)
We read cover letters! If you want to stand out: Tell us about a novel legal question you worked through without a playbook — how you reasoned through it and where you landed.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOPPORTUNITY\n\nWe're looking for an exceptional lawyer to join our lean, high-impact legal team and lead legal work across our models and the products built on them. This role is for someone who thrives at the intersection of law and model development — a builder with sharp instincts and sound judgment who is steady under ambiguity and fluent in product.\n\nOur legal team has a real seat at the table. You'll partner with our research and data teams on the novel legal questions inside model development, and advise our product teams on the experiences we put in front of users. You'll help Deepgram move at the speed of an ambitious voice AI company while keeping pace with the AI legal frameworks coming online internationally.\n\nMany of the questions in our space don't have settled answers yet. That's the best part of the job. You'll think them through from first principles, design the frameworks that let us scale, and help Deepgram continue to earn its place as the trusted leader in voice AI.\n\nThis role is ideal for someone with genuine conviction that voice is the most consequential interface with AI, and who wants to spend the next phase of their career on the legal questions that will define it.\n\nYou'll be the third lawyer on our team, reporting directly to our General Counsel and helping establish a legal function that scales with a company on a steep trajectory, using AI as your default mode of working to set the standard for what AI-native legal work looks like.\n\n\n\nWhat You’ll Do\n\n - Be the go-to counsel for our data and research teams on the legal questions inside model development, and design the frameworks that let research move fast with confidence\n\n - Partner with our product teams to ship products and features that delight our users.\n\n - Draft and review the consumer-facing terms, policies, disclosures, and marketing that go with our products — written for customers, not lawyers\n\n - Continue building out our privacy program — and tell its story to customers — to deepen customer trust in our products\n\n - Stay ahead of the AI legal frameworks developing internationally, translate developments into principles and policies our teams can act on, and help Deepgram develop a clear point of view on responsible AI development\n\n - Develop deep expertise across the legal questions defining AI today, and help advance how our company, and the broader field, thinks about them\n\n - Build the AI-native legal function at Deepgram with workflows and systems that scale our team’s impact\n\n\n\nYou'll Love This Role If You\n\n - Are passionate about AI and the ability to work alongside cutting-edge researchers and engineering teams\n\n - Get energized by being the first — building systems from scratch, establishing foundational practices, and turning novel legal questions into ones with answers\n\n - Are very practical in addressing legal issues and allergic to unnecessary friction\n\n - Have an abiding spirit of idealism about your chosen profession — you're not just answering legal questions, you're building something that matters\n\n - Have a point of view on what good lawyering looks like and a healthy sense of humor about everything else\n\n\n\nIt's Important To Us That You Have\n\n - JD from a U.S. accredited law school and 7–15 years of experience in legal practice (or more), in-house, at a firm, or both\n\n - Demonstrated experience counseling product, research, or engineering teams on the legal questions that come up in how AI gets built and deployed\n\n - Fluency in the issues that matter most to us: privacy, IP, data licensing, consumer protection, and the international AI regulatory landscape. Depth in some, excited to learn the rest\n\n - Recognize that law is about the grey areas, and are comfortable living in them, while giving clear and actionable advice\n\n - An AI-native legal practice — workflows you've built into your own work, not just tools you've used\n\n - Exceptional writing — precise, plain, and compelling\n\n\n\nIt Would Be Great If You Had\n\n - Hands-on experience at a foundation model company or AI research lab — you've seen how legal questions actually arise inside model development\n\n - Depth in one or more emerging AI regulatory regimes (EU AI Act, US states, UK, APAC)\n\n\n\nWe read cover letters! If you want to stand out: Tell us about a novel legal question you worked through without a playbook — how you reasoned through it and where you landed.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"ca94591b-e754-4e2e-b1dd-50b3aa9d14ef","title":"Senior Technical Recruiter","department":"G&A","team":"G&A","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-06-14T23:31:40.239+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/ca94591b-e754-4e2e-b1dd-50b3aa9d14ef","applyUrl":"https://jobs.ashbyhq.com/deepgram/ca94591b-e754-4e2e-b1dd-50b3aa9d14ef/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 Senior Technical Recruiter, you'll own full-cycle recruiting for our most complex and high-impact engineering roles — spanning customer-facing and core platform teams — across both US and international markets. You'll help Deepgram scale by building pipelines for AI-native technical talent across geographies, navigating regional market dynamics, and partnering closely with the team on compliant, scalable hiring practices.
This role requires fluency in how AI products are built and deployed, strong judgment on technical bar, and a systems-level view of recruiting — not just within one market, but across time zones, cultures, and the specialized talent communities that define the frontier of voice AI and applied machine learning.
Own full-cycle recruiting for senior and hard-to-fill technical roles across Research, Engineering, and Product teams.
Lead global recruiting efforts across multiple regions (e.g. US, EMEA, APAC), including sourcing, interviewing, and closing candidates in diverse markets.
Partner with hiring managers to define role scope, leveling, and interview plans that account for both business needs and regional talent realities.
Build proactive sourcing strategies for niche and senior-level technical talent in the US and abroad.
Evaluate candidates for technical depth, impact, and alignment with Deepgram’s values across different cultural and regional contexts.
Deliver a high-quality candidate experience across time zones through clear communication, thoughtful process design, and operational rigor.
Use data and funnel metrics to diagnose issues, improve signal quality, and increase hiring velocity globally.
Collaborate with People Ops, Legal, and Finance to support compliant global hiring (employment models, offers, and regional considerations).
Help evolve recruiting infrastructure, tools, and interview practices to support international scale.
Hands-on experience leading global expansion efforts, including hiring across multiple countries or regions.
Experience recruiting for at least two of the following domains: Customer Engineering / Solutions Engineering, Backend / Platform Infrastructure, Product Engineering, or Developer-facing roles.
Strong technical literacy — you don't need to code, but you should understand how modern software systems, APIs, and customer-integrated technical products are built. We are an AI-native company and believe in the future of these products.
Proven ability to source and close senior-level and highly specialized technical talent in competitive, international markets, particularly for roles that sit at the intersection of technical depth and customer impact.
Comfort operating in ambiguity and helping teams sharpen what \"good\" looks like across different regions and customer segments.
Excellent stakeholder management skills and the confidence to push back when needed — especially when balancing speed-to-hire with bar integrity for customer-critical roles.
A builder's mindset: you care about process quality, signal, and long-term scalability, not just filling seats.
Experience recruiting for AI-native, AI-first, or applied AI companies
Deep familiarity with AI/ML systems, LLMs, real-time inference, or data-intensive infrastructure — enough to hold a credible conversation with the engineers you're hiring.
Experience supporting distributed, remote-first teams building AI products across time zones and geographies.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nAs a Senior Technical Recruiter, you'll own full-cycle recruiting for our most complex and high-impact engineering roles — spanning customer-facing and core platform teams — across both US and international markets. You'll help Deepgram scale by building pipelines for AI-native technical talent across geographies, navigating regional market dynamics, and partnering closely with the team on compliant, scalable hiring practices.\n\nThis role requires fluency in how AI products are built and deployed, strong judgment on technical bar, and a systems-level view of recruiting — not just within one market, but across time zones, cultures, and the specialized talent communities that define the frontier of voice AI and applied machine learning.\n\n\n\nWHAT YOU'LL DO\n\n - Own full-cycle recruiting for senior and hard-to-fill technical roles across Research, Engineering, and Product teams.\n\n - Lead global recruiting efforts across multiple regions (e.g. US, EMEA, APAC), including sourcing, interviewing, and closing candidates in diverse markets.\n\n - Partner with hiring managers to define role scope, leveling, and interview plans that account for both business needs and regional talent realities.\n\n - Build proactive sourcing strategies for niche and senior-level technical talent in the US and abroad.\n\n - Evaluate candidates for technical depth, impact, and alignment with Deepgram’s values across different cultural and regional contexts.\n\n - Deliver a high-quality candidate experience across time zones through clear communication, thoughtful process design, and operational rigor.\n\n - Use data and funnel metrics to diagnose issues, improve signal quality, and increase hiring velocity globally.\n\n - Collaborate with People Ops, Legal, and Finance to support compliant global hiring (employment models, offers, and regional considerations).\n\n - Help evolve recruiting infrastructure, tools, and interview practices to support international scale.\n\n\nWHAT YOU BRING\n\n - Hands-on experience leading global expansion efforts, including hiring across multiple countries or regions.\n\n - Experience recruiting for at least two of the following domains: Customer Engineering / Solutions Engineering, Backend / Platform Infrastructure, Product Engineering, or Developer-facing roles.\n\n - Strong technical literacy — you don't need to code, but you should understand how modern software systems, APIs, and customer-integrated technical products are built. We are an AI-native company and believe in the future of these products.\n\n - Proven ability to source and close senior-level and highly specialized technical talent in competitive, international markets, particularly for roles that sit at the intersection of technical depth and customer impact.\n\n - Comfort operating in ambiguity and helping teams sharpen what \"good\" looks like across different regions and customer segments.\n\n - Excellent stakeholder management skills and the confidence to push back when needed — especially when balancing speed-to-hire with bar integrity for customer-critical roles.\n\n - A builder's mindset: you care about process quality, signal, and long-term scalability, not just filling seats.\n\n\n\n\nNICE TO HAVE\n\n - Experience recruiting for AI-native, AI-first, or applied AI companies\n \n - Deep familiarity with AI/ML systems, LLMs, real-time inference, or data-intensive infrastructure — enough to hold a credible conversation with the engineers you're hiring.\n \n - Experience supporting distributed, remote-first teams building AI products across time zones and geographies.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nNOTE: THIS ROLE IS BASED OUT OF THE EMEA TERRITORY.\n\n\n\n\nREGIONAL EXPECTATIONS\n\n - Based in an EMEA time zone with strong overlap to customer business hours.\n\n - Excellent written and spoken English. Additional European languages are a strong plus.\n\n\n\n\nOPPORTUNITY\n\nDeepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!\n\n\n\n\nWHAT YOU'LL DO\n\n - Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers\n\n - Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Believe there should be no cap to upside and want control of account up-sell potential\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Proven experience in a technical full-cycle sales role\n\n - Experience building your own pipeline from scratch and closing accounts\n\n - Consistent overachievement against sales targets in past experiences\n\n - Strong written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time\n\n - Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.\n\n - It Would Be Great If You Had\n\n - Familiarity with Challenger or Triangle sales methodology\n\n - Experience selling to a technical audience in a similar space\n\n - Experience selling developer tools, infrastructure, or AI/ML technologies.\n\n - Fluency in German, French, Dutch, or other major regional languages.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"e4c026c0-043f-4272-a541-a018ba542fda","title":"Senior HR Business Partner (Fixed-term Contract)","department":"G&A","team":"G&A","employmentType":"Contract","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-06-19T15:35:27.798+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/e4c026c0-043f-4272-a541-a018ba542fda","applyUrl":"https://jobs.ashbyhq.com/deepgram/e4c026c0-043f-4272-a541-a018ba542fda/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 HR Business Partner for a fixed-term contract to provide maternity leave coverage for approximately 4 months. Stepping into this established HRBP role, you will partner closely with leaders at all levels and employees across the company to maintain continuity in employee relations, performance management, manager effectiveness, and people practices during this period.
Reporting to the Head of People, the HRBP works cross-functionally with leaders, People Ops, Legal, Finance, and Recruiting to ensure people programs, policies, and processes remain effective, compliant, and aligned with business needs. This role requires someone who can onboard quickly, hit the ground running, and provide stable, high-quality HR partnership with minimal ramp-up time.
Occasional travel may be required to attend company offsite or team meetings as needed during the contract period.
Contract Details
Duration: Approximately 5 months
Type: Fixed-term contract (maternity leave backfill)
Location: Remote-first (US-based required)
Start: Immediate / As soon as available
Serve as the primary point of contact for employee relations matters, including performance concerns, interpersonal issues, investigations, and complex workplace scenarios.
Coach managers through difficult conversations, feedback delivery, performance management, and documentation.
Provide consistent, fair, and legally sound guidance across key employee lifecycle moments.
Act as a trusted advisor to leaders on people-related risks, decisions, and trade-offs.
Partner with the Head of People to maintain alignment between company strategy and people practices.
Identify patterns and systemic issues early and recommend practical, upstream interventions.
Serve as a change partner to leaders, helping operationalize organizational changes to drive understanding, adoption, and trust.
Support ongoing performance management processes, goal-setting, feedback cycles, and manager capability building.
Partner with leaders on team structure, talent planning, and ways of working that enable strong performance.
Help managers navigate underperformance, role clarity challenges, and organizational change.
Reinforce a culture of high performance without unnecessary bureaucracy.
Maintain and apply existing People processes, templates, documentation, and manager resources.
Partner on tools and workflows that improve consistency, efficiency, and employee experience.
Balance compliance, speed, and sound judgment as the company continues to grow.
Support change initiatives (e.g., policy updates, process shifts), including re-education, leader enablement, and reinforcement.
Partner with People Ops, Legal, and Finance to ensure compliance with federal, state, local, and international employment laws.
Support leave administration, policy application, and complex employee situations.
Help ensure People practices remain defensible, consistent, and aligned with company values.
Serve as the primary HR point of contact for immigration matters, partnering with recruiters to assess visa needs and timelines during the hiring process
Manage the day-to-day relationship with the external immigration law firm.
Support employees through immigration processes (H-1B, transfers, green card sponsorship, etc.), providing guidance on timelines and next steps
Partner with Legal, Finance, and People Ops to ensure immigration sponsorship decisions are consistent, compliant, and aligned with company policy
Can step into an established role quickly and maintain continuity with minimal handoff time.
Enjoy partnering closely with managers and leaders to sustain a healthy, high-performing culture.
Are energized by navigating ambiguity and making sound, independent decisions.
Thrive in environments where trust, judgment, and accountability matter.
Are comfortable operating in a fast-paced, remote-first environment with shifting priorities.
7–10+ years of HR experience, including at least 5 years in an HR Business Partner role within high-growth or complex environments.
Strong business judgment and the ability to understand context quickly, challenge assumptions when needed, and guide leaders through tough trade-offs.
Deep experience in employee relations, performance management, and manager coaching.
Demonstrated ability to ramp up quickly in a new environment and deliver results with limited onboarding time.
Comfort operating synchronously and asynchronously in a remote-first, fast-paced, evolving environment.
Strong written and verbal communication skills and a high degree of discretion.
Experience supporting distributed, remote-first teams.
Prior work in a fast-growing startup or tech environment.
Prior experience in contract or interim HR roles.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\n\nDeepgram is seeking a Senior HR Business Partner for a fixed-term contract to provide maternity leave coverage for approximately 4 months. Stepping into this established HRBP role, you will partner closely with leaders at all levels and employees across the company to maintain continuity in employee relations, performance management, manager effectiveness, and people practices during this period.\n\nReporting to the Head of People, the HRBP works cross-functionally with leaders, People Ops, Legal, Finance, and Recruiting to ensure people programs, policies, and processes remain effective, compliant, and aligned with business needs. This role requires someone who can onboard quickly, hit the ground running, and provide stable, high-quality HR partnership with minimal ramp-up time.\n\nOccasional travel may be required to attend company offsite or team meetings as needed during the contract period.\n\nContract Details\n\nDuration: Approximately 5 months\n\nType: Fixed-term contract (maternity leave backfill)\n\nLocation: Remote-first (US-based required)\n\nStart: Immediate / As soon as available\n\n\n\n\nWHAT YOU’LL DO:\n\n\n\nEMPLOYEE RELATIONS & MANAGER SUPPORT\n\n - Serve as the primary point of contact for employee relations matters, including performance concerns, interpersonal issues, investigations, and complex workplace scenarios.\n\n - Coach managers through difficult conversations, feedback delivery, performance management, and documentation.\n\n - Provide consistent, fair, and legally sound guidance across key employee lifecycle moments.\n\n\nBUSINESS & LEADERSHIP PARTNERSHIP\n\n - Act as a trusted advisor to leaders on people-related risks, decisions, and trade-offs.\n\n - Partner with the Head of People to maintain alignment between company strategy and people practices.\n\n - Identify patterns and systemic issues early and recommend practical, upstream interventions.\n\n - Serve as a change partner to leaders, helping operationalize organizational changes to drive understanding, adoption, and trust.\n\n\nPERFORMANCE & MANAGER EFFECTIVENESS\n\n - Support ongoing performance management processes, goal-setting, feedback cycles, and manager capability building.\n\n - Partner with leaders on team structure, talent planning, and ways of working that enable strong performance.\n\n - Help managers navigate underperformance, role clarity challenges, and organizational change.\n\n - Reinforce a culture of high performance without unnecessary bureaucracy.\n\n\nPROCESS, SYSTEMS & SCALE\n\n - Maintain and apply existing People processes, templates, documentation, and manager resources.\n\n - Partner on tools and workflows that improve consistency, efficiency, and employee experience.\n\n - Balance compliance, speed, and sound judgment as the company continues to grow.\n\n - Support change initiatives (e.g., policy updates, process shifts), including re-education, leader enablement, and reinforcement.\n\n\nCOMPLIANCE & ADMINISTRATION\n\n - Partner with People Ops, Legal, and Finance to ensure compliance with federal, state, local, and international employment laws.\n\n - Support leave administration, policy application, and complex employee situations.\n\n - Help ensure People practices remain defensible, consistent, and aligned with company values.\n\n\nIMMIGRATION & MOBILITY SUPPORT\n\n - Serve as the primary HR point of contact for immigration matters, partnering with recruiters to assess visa needs and timelines during the hiring process\n\n - Manage the day-to-day relationship with the external immigration law firm.\n\n - Support employees through immigration processes (H-1B, transfers, green card sponsorship, etc.), providing guidance on timelines and next steps\n\n - Partner with Legal, Finance, and People Ops to ensure immigration sponsorship decisions are consistent, compliant, and aligned with company policy\n\n\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Can step into an established role quickly and maintain continuity with minimal handoff time.\n\n - Enjoy partnering closely with managers and leaders to sustain a healthy, high-performing culture.\n\n - Are energized by navigating ambiguity and making sound, independent decisions.\n\n - Thrive in environments where trust, judgment, and accountability matter.\n\n - Are comfortable operating in a fast-paced, remote-first environment with shifting priorities.\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - 7–10+ years of HR experience, including at least 5 years in an HR Business Partner role within high-growth or complex environments.\n\n - Strong business judgment and the ability to understand context quickly, challenge assumptions when needed, and guide leaders through tough trade-offs.\n\n - Deep experience in employee relations, performance management, and manager coaching.\n\n - Demonstrated ability to ramp up quickly in a new environment and deliver results with limited onboarding time.\n\n - Comfort operating synchronously and asynchronously in a remote-first, fast-paced, evolving environment.\n\n - Strong written and verbal communication skills and a high degree of discretion.\n\n\nNICE TO HAVE\n\n - Experience supporting distributed, remote-first teams.\n\n - Prior work in a fast-growing startup or tech environment.\n\n - Prior experience in contract or interim HR roles.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nOPPORTUNITY\n\nDeepgram is 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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nABOUT THE ROLE\n\nDeepgram is 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\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\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"ee566c0e-f02e-4c7a-b64e-d198357acc86","title":"VP, Strategic Sales","department":"Sales","team":"Sales","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-05-20T14:46:26.948+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/ee566c0e-f02e-4c7a-b64e-d198357acc86","applyUrl":"https://jobs.ashbyhq.com/deepgram/ee566c0e-f02e-4c7a-b64e-d198357acc86/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 its enterprise go-to-market organization and is seeking a Vice President of Enterprise Sales to lead our Fortune 500 and strategic account business.
This leader will own the strategy, execution, and growth of Deepgram’s largest and most strategic customer relationships — driving multi-million dollar ARR opportunities, executive engagement, and long-term expansion across complex enterprise environments.
This is a highly strategic, hands-on leadership role. You’ll partner directly with executive leadership, Product, Marketing, Customer Success, Solutions Engineering, RevOps, and strategic partners to shape how Deepgram lands and expands within the world’s largest organizations. You’ll also lead and develop a team of senior Enterprise Account Executives while building the operational rigor, account strategy, and enterprise sales motion needed to consistently close 7- and 8-figure deals.
The ideal candidate is equal parts enterprise sales leader, operator, executive seller, and coach — someone who thrives in high-stakes, multi-stakeholder environments and can blend data-driven execution with strong executive relationship management.
Build, lead, and scale a high-performing Enterprise AE organization focused on Fortune 500 and strategic accounts.
Own enterprise revenue growth across new logo acquisition and expansion within named accounts.
Drive executive engagement strategy across top accounts, including C-suite relationship development, executive sponsor alignment, and strategic account reviews.
Personally engage in Deepgram’s largest and most strategic opportunities from discovery through close.
Partner with Sales Leadership on territory planning, account segmentation, forecasting, pipeline strategy, and enterprise GTM execution.
Coach Enterprise AEs through complex sales motions including MEDDPICC qualification, mutual action plans, procurement navigation, competitive displacement, and executive-level negotiations.
Develop and scale co-sell motions with hyperscalers, UCaaS/CCaaS providers, and global systems integrators.
Implement AI-enabled workflows and tooling to improve account planning, forecasting accuracy, deal velocity, and operational scale.
Build data-driven systems for strategic account planning, white space analysis, pipeline management, and expansion modeling.
Hire, onboard, and develop world-class enterprise sales talent.
Foster a culture of accountability, collaboration, transparency, and operational excellence.
Establish strong performance management cadences with clear expectations, coaching, and measurable outcomes.
Thrive in complex, high-value enterprise sales environments.
Enjoy building relationships with executive stakeholders and operating as a trusted advisor to enterprise customers.
Lead with both strategic thinking and operational rigor.
Are energized by long sales cycles, large deal sizes, and highly consultative enterprise motions.
Have a strong coaching mindset and enjoy developing senior sales talent.
Believe in leveraging AI and automation to improve productivity and GTM effectiveness.
Want to help shape the future of enterprise voice AI technology.
12+ years of experience in B2B SaaS sales, including 7+ years leading Enterprise Account Executive teams selling into Fortune 500 organizations.
Proven success leading teams and closing complex 7- and 8-figure enterprise deals.
Strong track record of exceeding enterprise ARR targets in high-growth environments.
Experience building and executing named account strategies, including executive mapping, whitespace analysis, and multi-threaded engagement.
Deep expertise coaching enterprise sellers through complex deal cycles and executive negotiations.
Strong operational and forecasting discipline with experience building scalable enterprise sales processes.
Experience leveraging AI and automation tools to improve sales productivity and operational scale.
Exceptional executive presence, communication skills, and cross-functional leadership ability.
Experience leading enterprise sales organizations at a high-growth startup or scaling technology company.
Background selling AI/ML, infrastructure, developer tools, voice AI, communications technology, or technical SaaS solutions.
Existing relationships within enterprise verticals such as contact center, telecom, financial services, healthcare, or retail.
Experience building co-sell partnerships with AWS, Google Cloud, Microsoft Azure, UCaaS/CCaaS providers, or global systems integrators.
Comfortable operating in fast-moving, evolving environments with ambitious growth goals.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nVP, STRATEGIC SALES\n\nDeepgram is expanding its enterprise go-to-market organization and is seeking a Vice President of Enterprise Sales to lead our Fortune 500 and strategic account business.\n\nThis leader will own the strategy, execution, and growth of Deepgram’s largest and most strategic customer relationships — driving multi-million dollar ARR opportunities, executive engagement, and long-term expansion across complex enterprise environments.\n\nThis is a highly strategic, hands-on leadership role. You’ll partner directly with executive leadership, Product, Marketing, Customer Success, Solutions Engineering, RevOps, and strategic partners to shape how Deepgram lands and expands within the world’s largest organizations. You’ll also lead and develop a team of senior Enterprise Account Executives while building the operational rigor, account strategy, and enterprise sales motion needed to consistently close 7- and 8-figure deals.\n\nThe ideal candidate is equal parts enterprise sales leader, operator, executive seller, and coach — someone who thrives in high-stakes, multi-stakeholder environments and can blend data-driven execution with strong executive relationship management.\n\n\n\n\nWHAT YOU’LL DO\n\n - Build, lead, and scale a high-performing Enterprise AE organization focused on Fortune 500 and strategic accounts.\n\n - Own enterprise revenue growth across new logo acquisition and expansion within named accounts.\n\n - Drive executive engagement strategy across top accounts, including C-suite relationship development, executive sponsor alignment, and strategic account reviews.\n\n - Personally engage in Deepgram’s largest and most strategic opportunities from discovery through close.\n\n - Partner with Sales Leadership on territory planning, account segmentation, forecasting, pipeline strategy, and enterprise GTM execution.\n\n - Coach Enterprise AEs through complex sales motions including MEDDPICC qualification, mutual action plans, procurement navigation, competitive displacement, and executive-level negotiations.\n\n - Develop and scale co-sell motions with hyperscalers, UCaaS/CCaaS providers, and global systems integrators.\n\n - Implement AI-enabled workflows and tooling to improve account planning, forecasting accuracy, deal velocity, and operational scale.\n\n - Build data-driven systems for strategic account planning, white space analysis, pipeline management, and expansion modeling.\n\n - Hire, onboard, and develop world-class enterprise sales talent.\n\n - Foster a culture of accountability, collaboration, transparency, and operational excellence.\n\n - Establish strong performance management cadences with clear expectations, coaching, and measurable outcomes.\n\n\nYOU’LL BE SUCCESSFUL IN THIS ROLE IF YOU\n\n - Thrive in complex, high-value enterprise sales environments.\n\n - Enjoy building relationships with executive stakeholders and operating as a trusted advisor to enterprise customers.\n\n - Lead with both strategic thinking and operational rigor.\n\n - Are energized by long sales cycles, large deal sizes, and highly consultative enterprise motions.\n\n - Have a strong coaching mindset and enjoy developing senior sales talent.\n\n - Believe in leveraging AI and automation to improve productivity and GTM effectiveness.\n\n - Want to help shape the future of enterprise voice AI technology.\n\n\nWHAT WE’RE LOOKING FOR\n\n - 12+ years of experience in B2B SaaS sales, including 7+ years leading Enterprise Account Executive teams selling into Fortune 500 organizations.\n\n - Proven success leading teams and closing complex 7- and 8-figure enterprise deals.\n\n - Strong track record of exceeding enterprise ARR targets in high-growth environments.\n\n - Experience building and executing named account strategies, including executive mapping, whitespace analysis, and multi-threaded engagement.\n\n - Deep expertise coaching enterprise sellers through complex deal cycles and executive negotiations.\n\n - Strong operational and forecasting discipline with experience building scalable enterprise sales processes.\n\n - Experience leveraging AI and automation tools to improve sales productivity and operational scale.\n\n - Exceptional executive presence, communication skills, and cross-functional leadership ability.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience leading enterprise sales organizations at a high-growth startup or scaling technology company.\n\n - Background selling AI/ML, infrastructure, developer tools, voice AI, communications technology, or technical SaaS solutions.\n\n - Existing relationships within enterprise verticals such as contact center, telecom, financial services, healthcare, or retail.\n\n - Experience building co-sell partnerships with AWS, Google Cloud, Microsoft Azure, UCaaS/CCaaS providers, or global systems integrators.\n\n - Comfortable operating in fast-moving, evolving environments with ambitious growth goals.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nOpportunity:\n\nWe're looking for an 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\n\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\n\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\n\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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. However, we are open to considering candidates 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: Preference towards candidate based 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. However, we are open to considering candidates across the US.
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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nABOUT DEEPGRAM\n\nDeepgram is the leading voice AI platform for developers; building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS), enterprise-grade, voice agent offerings. Over 200,000 developers build with Deepgram’s voice-native foundational models – accessed through APIs, well known partners or as self-managed software – due to our unmatched accuracy, latency and pricing.\n\nCustomers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.\n\n\n\n\nABOUT THE ROLE\n\nAs a Senior 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. However, we are open to considering candidates across the US.\n\n\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 \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: Preference towards candidate based 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. However, we are open to considering candidates across the US.\n \n \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 \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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"f5aeae73-25db-4a2d-b5e3-6b43cf2e2ed5","title":"Senior Strategic Renewals Manager","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"USA | Remote","secondaryLocations":[],"publishedAt":"2026-06-10T16:00:35.912+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/deepgram/f5aeae73-25db-4a2d-b5e3-6b43cf2e2ed5","applyUrl":"https://jobs.ashbyhq.com/deepgram/f5aeae73-25db-4a2d-b5e3-6b43cf2e2ed5/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.
Senior Strategic Renewals Manager
This is a senior, customer-facing commercial role. You’ll own renewal negotiations end-to-end for our most strategic accounts — forecasting against consumption, building the commercial case, and defending value with data when a customer under-projects usage or a competitor undercuts on price. You’ll identify expansion opportunities through the renewal motion and partner directly with the Account Executive, who owns expansion strategy and execution. You’ll partner closely with RevOps as the commercial voice in shaping the systems, process, and reporting behind the renewal motion. Your primary focus will be customer-facing renewal strategy, negotiation, and deal execution, and your judgement from the field will help ensure the renewal motion scales with the right visibility, governance, and commercial discipline.
Own renewal negotiations end-to-end for a book of strategic, high-value accounts, leading commercial conversations directly with customer executives, procurement, and finance.
Forecast renewals in a consumption-based model by translating usage, pacing, and adoption trends into a defensible commercial projection, and hold the line when a customer’s self-reported forecast doesn’t match the data.
Build and negotiate pricing and packaging for usage-based agreements (committed-use, credit tiers, discount structures), structuring multi-year commitments that protect ARR and capture growth.
Identify expansion opportunities during the renewal motion by using usage, adoption, and customer goals to surface growth potential, then partner with the Account Executive to help shape the expansion strategy.
Quarterback cross-functional deal strategy across CS, Sales, Finance, RevOps, and Legal - aligning the internal team on a single commercial plan and clear next steps for each account.
Get ahead of churn and contraction risk with a clear point of view on value realization; lead the save and turnaround plays when an account is at risk.
Help shape the renewals motion as the function scales turning what works into a repeatable commercial motion, with the runway to lead a growing renewals team over time.
See a renewal as a commercial deal to be won, not a transaction to be processed, and you’ve carried a number against one.
Are at your best in a hard negotiation: a competing offer on the table, a budget freeze, a procurement team pushing for a cut. You hold value without losing the relationship.
Deep understanding of consumption-based revenue. You understand how usage, pacing, and commitment structures drive a renewal, and you can forecast and negotiate around all of it.
Want to operate as a strategic partner to customer executives, and you’re comfortable being the most commercially fluent person in the room.
10+ years in commercial, customer-facing roles such as Strategic Account Management, Account Executive, and / or Renewals Manager, with a track record of carrying and hitting commercial targets.
Demonstrated track record owning and closing complex commercial renewals/expansions for strategic accounts at a consumption-based company.
A track record structuring multi-year, multi-product commercial agreements and navigating procurement, legal, and finance to close them.
Strong forecasting discipline and the commercial judgment to know when a forecast is real and when it needs to be challenged.
Comfort working AI-first, you already use AI tools to research accounts, model scenarios, and prep negotiations, and you’d expect to do more of that here.
Experience at a consumption-based company, AI, data, infrastructure, cloud, or communications.
Exposure to a technical or developer-focused customer base.
A point of view on how renewals should work in an AI-native company, and ideas for how to build it here.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nSenior Strategic Renewals Manager\n\nThis is a senior, customer-facing commercial role. You’ll own renewal negotiations end-to-end for our most strategic accounts — forecasting against consumption, building the commercial case, and defending value with data when a customer under-projects usage or a competitor undercuts on price. You’ll identify expansion opportunities through the renewal motion and partner directly with the Account Executive, who owns expansion strategy and execution. You’ll partner closely with RevOps as the commercial voice in shaping the systems, process, and reporting behind the renewal motion. Your primary focus will be customer-facing renewal strategy, negotiation, and deal execution, and your judgement from the field will help ensure the renewal motion scales with the right visibility, governance, and commercial discipline.\n\n\nWHAT YOU’LL DO\n\n - Own renewal negotiations end-to-end for a book of strategic, high-value accounts, leading commercial conversations directly with customer executives, procurement, and finance.\n\n - Forecast renewals in a consumption-based model by translating usage, pacing, and adoption trends into a defensible commercial projection, and hold the line when a customer’s self-reported forecast doesn’t match the data.\n\n - Build and negotiate pricing and packaging for usage-based agreements (committed-use, credit tiers, discount structures), structuring multi-year commitments that protect ARR and capture growth.\n\n - Identify expansion opportunities during the renewal motion by using usage, adoption, and customer goals to surface growth potential, then partner with the Account Executive to help shape the expansion strategy.\n\n - Quarterback cross-functional deal strategy across CS, Sales, Finance, RevOps, and Legal - aligning the internal team on a single commercial plan and clear next steps for each account.\n\n - Get ahead of churn and contraction risk with a clear point of view on value realization; lead the save and turnaround plays when an account is at risk.\n\n - Help shape the renewals motion as the function scales turning what works into a repeatable commercial motion, with the runway to lead a growing renewals team over time.\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - See a renewal as a commercial deal to be won, not a transaction to be processed, and you’ve carried a number against one.\n\n - Are at your best in a hard negotiation: a competing offer on the table, a budget freeze, a procurement team pushing for a cut. You hold value without losing the relationship.\n\n - Deep understanding of consumption-based revenue. You understand how usage, pacing, and commitment structures drive a renewal, and you can forecast and negotiate around all of it.\n\n - Want to operate as a strategic partner to customer executives, and you’re comfortable being the most commercially fluent person in the room.\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - 10+ years in commercial, customer-facing roles such as Strategic Account Management, Account Executive, and / or Renewals Manager, with a track record of carrying and hitting commercial targets.\n\n - Demonstrated track record owning and closing complex commercial renewals/expansions for strategic accounts at a consumption-based company.\n\n - A track record structuring multi-year, multi-product commercial agreements and navigating procurement, legal, and finance to close them.\n\n - Strong forecasting discipline and the commercial judgment to know when a forecast is real and when it needs to be challenged.\n\n - Comfort working AI-first, you already use AI tools to research accounts, model scenarios, and prep negotiations, and you’d expect to do more of that here.\n\n\nIT WOULD BE GREAT IF YOU HAD\n\n - Experience at a consumption-based company, AI, data, infrastructure, cloud, or communications.\n\n - Exposure to a technical or developer-focused customer base.\n\n - A point of view on how renewals should work in an AI-native company, and ideas for how to build it here.\n\n\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nNOTE: THIS ROLE IS BASED OUT OF THE EMEA TERRITORY, SPECIFICALLY LONDON, UK.\n\n\n\n\nREGIONAL EXPECTATIONS\n\n - Based in an EMEA time zone with strong overlap to customer business hours.\n\n - Excellent written and spoken English. Additional European languages are a strong plus.\n\n\n\n\nGERMAN LANGUAGE EXPECTATIONS\n\n - Native-level or full professional fluency in German (written and spoken), with the ability to conduct complex sales conversations and negotiations.\n\n\n\n\nOPPORTUNITY\n\nDeepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company, specifically in the German markets. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!\n\n\n\n\nWHAT YOU'LL DO\n\n - Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings\n\n - Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness\n\n - Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers\n\n - Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing\n\n\nYOU’LL LOVE THIS ROLE IF YOU\n\n - Value having leadership that has tenure and a track record of success\n\n - Thrive working with A Players as cross-functional partners across GTM\n\n - Understand the importance of selling a product that is market validated and can deliver on its technical promise\n\n - Believe there should be no cap to upside and want control of account up-sell potential\n\n - Are passionate about what Deepgram is building and how we are changing what is possible with speech\n\n\nIT’S IMPORTANT TO US THAT YOU HAVE\n\n - Proven experience in a technical full-cycle sales role\n\n - Experience building your own pipeline from scratch and closing accounts\n\n - Consistent overachievement against sales targets in past experiences\n\n - Strong written and verbal communication skills\n\n - Empathy and a unique ability to understand customer needs\n\n - Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time\n\n - Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.\n\n - It Would Be Great If You Had\n\n - Familiarity with Challenger or Triangle sales methodology\n\n - Experience selling to a technical audience in a similar space\n\n - Experience selling developer tools, infrastructure, or AI/ML technologies.\n\n - Fluency in German, French, Dutch, or other major regional languages.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nNOTE: THIS INDIVIDUAL MUST BE BASED WITHIN EITHER EASTERN OR PACIFIC TIME IN THE US.\n\n\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\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\n\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\n\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 \n \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 \n \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\n\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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"id":"f924e637-6bfa-46fc-a05a-b4bcdb176f78","title":"German Speaking- Sales Development Representative, EMEA","department":"Sales","team":"Sales - SDR","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-06-15T10:02:04.298+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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\nDeepgram is looking for an 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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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 — The Heartbeat of Deepgram — sits at the intersection of customers, product, and growth. We don't just \"manage accounts.\" We make Deepgram succeed inside our customers' environments by combining deep technical expertise, commercial instinct, and an AI-native way of working — and by building the systems that make the whole team's work compound over time.
A Customer Success Engineer is a hands-on partner who drives adoption, solves hard technical problems, uncovers expansion, and owns a portfolio of strategic enterprise accounts end to end.
You're not a traditional CSM or Technical Account Manager. You operate at the intersection of three competencies, and you're genuinely strong across all three:
Expert technical consulting — you run demos, guide architecture discussions, troubleshoot integrations, and help customers deploy AI-driven solutions. No coding required, but you're fluent in APIs, developer workflows, and real technical conversations.
Strategic account management — you build trust from individual developers up to CTOs, own the full customer lifecycle, and turn technical adoption into commercial growth.
AI-native operating model — AI is how you work, not a tool you occasionally reach for. When you hit recurring work, your instinct is to build the system that removes it.
You may have been a Technical Account Manager, Solutions or Sales Engineer, Forward Deployed Engineer, Implementation Engineer, strategic CSM, or Product Manager. Whatever your path, you're probably strongest in one or two of these competencies — but you can demonstrate all three, and you're eager for a role where you deploy them concurrently.
You thrive on bringing definition to ambiguity. You form a point of view and bring a recommendation rather than staying in open-ended discovery mode. You're comfortable operating outside your comfort zone, you question the status quo, and you learn fast.
Serve as the technical advisor and strategic owner for a portfolio of enterprise accounts, partnering with everyone from developers to CIOs and CTOs.
Own the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.
Drive adoption through live demos, workshops, architecture guidance, troubleshooting, and best-practice recommendations — making Deepgram successful inside the customer's environment.
Run discovery continuously: surface customer problems, understand their business impact, and translate them into actionable requirements for product and engineering.
Identify and scope expansion (cross-sell, upsell, multi-product) in partnership with Sales, and lead executive business reviews and joint planning sessions.
Act as the voice of the customer internally — influencing roadmap, GTM strategy, and the tools we build to support customers.
Track adoption, usage, health, and expansion to drive outcomes; travel to customer sites as needed.
Operate AI-first by default, and build tools, agents, and workflows that eliminate recurring work for you and the broader CS team. Your impact is measured by the leverage you create, not just the accounts you serve.
Significant experience in technical, customer-facing roles — TAM, sales/solutions engineering, enterprise CS with a strong technical focus, implementation, or forward-deployed work — at API-driven, developer-first, or AI companies. For most people that's roughly 7+ years, but we care more about the shape of your experience than the exact number.
A track record that blends customer ownership with technical depth: solution design, hands-on troubleshooting, and commercial growth.
Hands-on experience running demos, POCs, or technical workshops with enterprise customers — leading them, not just attending.
Demonstrated success identifying and landing expansion in complex enterprise accounts.
Fluency discussing APIs, integrations, and developer workflows, and troubleshooting L1-style issues (no coding required, but genuinely conversant — not hand-waving).
Experience engaging both technical stakeholders (developers, architects) and executive buyers (CIO, CTO, VP Engineering).
Exceptional communication, influence, and relationship-building — concise and structured, across technical and business audiences.
Something you've built — a tool, agent, script, or workflow — that permanently eliminated recurring work. In your application, tell us what it was, what it replaced, and what it's still doing today.
An AI-native operating model: specific workflows that structurally depend on AI, and a clear account of how you'd rebuild them if those tools disappeared tomorrow.
Experience in machine learning, voice AI, cloud infrastructure, or developer-first technologies.
A background spanning solutions engineering, TAM, or L1 support alongside CS responsibilities.
Working fluency with automation, scripting, or agent-building (Python, TypeScript, workflow tools, agent frameworks, or equivalent). You don't need to be a software engineer — just dangerous enough to ship working systems.
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans
Unlimited PTO
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nCUSTOMER SUCCESS ENGINEER\n\nOur Customer Success team — The Heartbeat of Deepgram — sits at the intersection of customers, product, and growth. We don't just \"manage accounts.\" We make Deepgram succeed inside our customers' environments by combining deep technical expertise, commercial instinct, and an AI-native way of working — and by building the systems that make the whole team's work compound over time.\n\nA Customer Success Engineer is a hands-on partner who drives adoption, solves hard technical problems, uncovers expansion, and owns a portfolio of strategic enterprise accounts end to end.\n\n\nWHO YOU ARE\n\nYou're not a traditional CSM or Technical Account Manager. You operate at the intersection of three competencies, and you're genuinely strong across all three:\n\n 1. Expert technical consulting — you run demos, guide architecture discussions, troubleshoot integrations, and help customers deploy AI-driven solutions. No coding required, but you're fluent in APIs, developer workflows, and real technical conversations.\n\n 2. Strategic account management — you build trust from individual developers up to CTOs, own the full customer lifecycle, and turn technical adoption into commercial growth.\n\n 3. AI-native operating model — AI is how you work, not a tool you occasionally reach for. When you hit recurring work, your instinct is to build the system that removes it.\n\nYou may have been a Technical Account Manager, Solutions or Sales Engineer, Forward Deployed Engineer, Implementation Engineer, strategic CSM, or Product Manager. Whatever your path, you're probably strongest in one or two of these competencies — but you can demonstrate all three, and you're eager for a role where you deploy them concurrently.\n\nYou thrive on bringing definition to ambiguity. You form a point of view and bring a recommendation rather than staying in open-ended discovery mode. You're comfortable operating outside your comfort zone, you question the status quo, and you learn fast.\n\n\n\n\nWHAT YOU'LL DO\n\n - Serve as the technical advisor and strategic owner for a portfolio of enterprise accounts, partnering with everyone from developers to CIOs and CTOs.\n\n - Own the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.\n\n - Drive adoption through live demos, workshops, architecture guidance, troubleshooting, and best-practice recommendations — making Deepgram successful inside the customer's environment.\n\n - Run discovery continuously: surface customer problems, understand their business impact, and translate them into actionable requirements for product and engineering.\n\n - Identify and scope expansion (cross-sell, upsell, multi-product) in partnership with Sales, and lead executive business reviews and joint planning sessions.\n\n - Act as the voice of the customer internally — influencing roadmap, GTM strategy, and the tools we build to support customers.\n\n - Track adoption, usage, health, and expansion to drive outcomes; travel to customer sites as needed.\n\n - Operate AI-first by default, and build tools, agents, and workflows that eliminate recurring work for you and the broader CS team. Your impact is measured by the leverage you create, not just the accounts you serve.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Significant experience in technical, customer-facing roles — TAM, sales/solutions engineering, enterprise CS with a strong technical focus, implementation, or forward-deployed work — at API-driven, developer-first, or AI companies. For most people that's roughly 7+ years, but we care more about the shape of your experience than the exact number.\n\n - A track record that blends customer ownership with technical depth: solution design, hands-on troubleshooting, and commercial growth.\n\n - Hands-on experience running demos, POCs, or technical workshops with enterprise customers — leading them, not just attending.\n\n - Demonstrated success identifying and landing expansion in complex enterprise accounts.\n\n - Fluency discussing APIs, integrations, and developer workflows, and troubleshooting L1-style issues (no coding required, but genuinely conversant — not hand-waving).\n\n - Experience engaging both technical stakeholders (developers, architects) and executive buyers (CIO, CTO, VP Engineering).\n\n - Exceptional communication, influence, and relationship-building — concise and structured, across technical and business audiences.\n\n - Something you've built — a tool, agent, script, or workflow — that permanently eliminated recurring work. In your application, tell us what it was, what it replaced, and what it's still doing today.\n\n - An AI-native operating model: specific workflows that structurally depend on AI, and a clear account of how you'd rebuild them if those tools disappeared tomorrow.\n\n\nNICE TO HAVE\n\n - Experience in machine learning, voice AI, cloud infrastructure, or developer-first technologies.\n\n - A background spanning solutions engineering, TAM, or L1 support alongside CS responsibilities.\n\n - Working fluency with automation, scripting, or agent-building (Python, TypeScript, workflow tools, agent frameworks, or equivalent). You don't need to be a software engineer — just dangerous enough to ship working systems.\n\n\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."},{"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
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\n\n\nCOMPANY OPERATING RHYTHM\n\nAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\n\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\n\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\n\n\n\n\nTHE OPPORTUNITY\n\nDeepgram'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\n\n\nBENEFITS & PERKS*\n\n\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\n\n\nWORK/LIFE BLEND\n\n - Unlimited PTO\n\n - 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\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\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\n\n\nBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!\n\n\n\nDeepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.\n\n\n\nWe are happy to provide accommodations for applicants who need them."}],"apiVersion":"1"}