Deepgram

Build and maintain backend and frontend services with a focus on API design, performance, and scalable full-stack development. | 3+ years full-stack experience with TypeScript, API development, and strong communication skills in a collaborative environment. | Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you're not excited 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: Saga is Deepgram's consumer facing application - this application lets people control their tools, workflows, and environments using natural speech. Deepgram Saga is an innovative voice OS designed for professionals, enabling hands-free control of their workflow through natural language. It integrates seamlessly with existing tools like Slack, Linear, and Notion, allowing them to execute tasks via voice commands, thereby reducing context-switching and enhancing productivity. We're a full-stack team that values high-quality, iterative delivery and thoughtful code design. We function like a startup within a startup, characterized by our scrappiness and adaptability. Our backend services are built with Node.js and Socket.io, chosen for its performance, developer velocity, and strong ecosystem. We use TypeScript to add type safety and improve maintainability across our codebase. On the frontend, we use React and Next.js to deliver fast, resilient user experiences with server-side rendering, dynamic routing, and seamless integration with our voice-native workflows. Across the stack, we care deeply about schema clarity, performance, and long-term maintainability. Responsibilities • Build, ship, and maintain backend services using Node.js, Socket.IO, AWS Amplify, and DynamoDB • Work across the frontend with TypeScript, React, Next.js • Design and integrate APIs using both REST and GraphQL, supporting flexible, scalable data access across services • Develop deep expertise in a few areas while remaining comfortable diving into new parts of the codebase • Participate in code reviews and architecture discussions, fostering a culture of clarity, curiosity, and shared ownership • Translate high-level product requirements into parallelizable, incrementally releasable tasks • Balance short-term deliverables with long-term investments in efficiency, scalability, and performance Qualifications • 3+ years of experience on a full-stack engineering team, building and maintaining production-grade services • Professional experience with TypeScript, including API development, backend service design, and system integration • Experience building user interfaces through reusable, composable components-favoring clarity, encapsulation, and predictable state management. • Proven ability to optimize database performance through thoughtful schema design, query tuning, and indexing strategies • Strong communication skills and the ability to navigate technical tradeoffs in a collaborative, cross-functional environment Nice to Have: • Experience with AWS Amplify • Familiarity with Electron and building cross-platform desktop (or mobile) applications • Experience integrating with LangChain, or other LLM orchestration frameworks • Comfort working in startup environments, where ambiguity, speed, and scrappy problem-solving are the norm • A self-starting mindset with the ability to scope, prioritize, and execute independently • Strong product intuition and curiosity about how users interact with emerging interfaces • Prior experience with voice technology and AI-driven applications Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

Build and maintain backend and frontend services with a focus on API design, performance, and scalability. | 3+ years full-stack experience with TypeScript, API development, and strong communication skills in collaborative environments. | Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you're not excited 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: Saga is Deepgram's consumer facing application - this application lets people control their tools, workflows, and environments using natural speech. Deepgram Saga is an innovative voice OS designed for professionals, enabling hands-free control of their workflow through natural language. It integrates seamlessly with existing tools like Slack, Linear, and Notion, allowing them to execute tasks via voice commands, thereby reducing context-switching and enhancing productivity. We're a full-stack team that values high-quality, iterative delivery and thoughtful code design. We function like a startup within a startup, characterized by our scrappiness and adaptability. Our backend services are built with Node.js and Socket.io, chosen for its performance, developer velocity, and strong ecosystem. We use TypeScript to add type safety and improve maintainability across our codebase. On the frontend, we use React and Next.js to deliver fast, resilient user experiences with server-side rendering, dynamic routing, and seamless integration with our voice-native workflows. Across the stack, we care deeply about schema clarity, performance, and long-term maintainability. Responsibilities • Build, ship, and maintain backend services using Node.js, Socket.IO, AWS Amplify, and DynamoDB • Work across the frontend with TypeScript, React, Next.js • Design and integrate APIs using both REST and GraphQL, supporting flexible, scalable data access across services • Develop deep expertise in a few areas while remaining comfortable diving into new parts of the codebase • Participate in code reviews and architecture discussions, fostering a culture of clarity, curiosity, and shared ownership • Translate high-level product requirements into parallelizable, incrementally releasable tasks • Balance short-term deliverables with long-term investments in efficiency, scalability, and performance Qualifications • 3+ years of experience on a full-stack engineering team, building and maintaining production-grade services • Professional experience with TypeScript, including API development, backend service design, and system integration • Experience building user interfaces through reusable, composable components-favoring clarity, encapsulation, and predictable state management. • Proven ability to optimize database performance through thoughtful schema design, query tuning, and indexing strategies • Strong communication skills and the ability to navigate technical tradeoffs in a collaborative, cross-functional environment Nice to Have: • Experience with AWS Amplify • Familiarity with Electron and building cross-platform desktop (or mobile) applications • Experience integrating with LangChain, or other LLM orchestration frameworks • Comfort working in startup environments, where ambiguity, speed, and scrappy problem-solving are the norm • A self-starting mindset with the ability to scope, prioritize, and execute independently • Strong product intuition and curiosity about how users interact with emerging interfaces • Prior experience with voice technology and AI-driven applications Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

Build and maintain backend and frontend services with Node.js, React, and TypeScript, design APIs, and participate in code reviews and architecture discussions. | 3+ years full-stack experience, professional TypeScript skills, UI component development, database optimization, and strong communication in cross-functional teams. | Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you're not excited 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: Saga is Deepgram's consumer facing application - this application lets people control their tools, workflows, and environments using natural speech. Deepgram Saga is an innovative voice OS designed for professionals, enabling hands-free control of their workflow through natural language. It integrates seamlessly with existing tools like Slack, Linear, and Notion, allowing them to execute tasks via voice commands, thereby reducing context-switching and enhancing productivity. We're a full-stack team that values high-quality, iterative delivery and thoughtful code design. We function like a startup within a startup, characterized by our scrappiness and adaptability. Our backend services are built with Node.js and Socket.io, chosen for its performance, developer velocity, and strong ecosystem. We use TypeScript to add type safety and improve maintainability across our codebase. On the frontend, we use React and Next.js to deliver fast, resilient user experiences with server-side rendering, dynamic routing, and seamless integration with our voice-native workflows. Across the stack, we care deeply about schema clarity, performance, and long-term maintainability. Responsibilities • Build, ship, and maintain backend services using Node.js, Socket.IO, AWS Amplify, and DynamoDB • Work across the frontend with TypeScript, React, Next.js • Design and integrate APIs using both REST and GraphQL, supporting flexible, scalable data access across services • Develop deep expertise in a few areas while remaining comfortable diving into new parts of the codebase • Participate in code reviews and architecture discussions, fostering a culture of clarity, curiosity, and shared ownership • Translate high-level product requirements into parallelizable, incrementally releasable tasks • Balance short-term deliverables with long-term investments in efficiency, scalability, and performance Qualifications • 3+ years of experience on a full-stack engineering team, building and maintaining production-grade services • Professional experience with TypeScript, including API development, backend service design, and system integration • Experience building user interfaces through reusable, composable components-favoring clarity, encapsulation, and predictable state management. • Proven ability to optimize database performance through thoughtful schema design, query tuning, and indexing strategies • Strong communication skills and the ability to navigate technical tradeoffs in a collaborative, cross-functional environment Nice to Have: • Experience with AWS Amplify • Familiarity with Electron and building cross-platform desktop (or mobile) applications • Experience integrating with LangChain, or other LLM orchestration frameworks • Comfort working in startup environments, where ambiguity, speed, and scrappy problem-solving are the norm • A self-starting mindset with the ability to scope, prioritize, and execute independently • Strong product intuition and curiosity about how users interact with emerging interfaces • Prior experience with voice technology and AI-driven applications Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

Build and maintain full-stack features and APIs for customer-facing and internal tools, collaborating with cross-functional teams. | 5+ years full-stack experience with strong frontend and backend skills, API design, cloud infrastructure familiarity, and good communication. | Job Description: • Build and ship full-stack features across Deepgram’s customer-facing Console and Playground experiences. • Build internal-facing tools and services that improve workflows and productivity across Deepgram. • Design, build, and maintain APIs and backend services that power end-user and internal product experiences. • Partner with product, design, and engineering to create accessible, performant, and responsive interfaces backed by reliable systems. • Translate product ideas and requirements into well-scoped, incrementally releasable work across frontend and backend layers. • Balance rapid iteration with long-term maintainability, quality, scalability, and performance. • Help raise the bar through code reviews, technical design discussions, and strong engineering practices across the stack. Requirements: • 5+ years of professional software engineering experience, with a track record of shipping full-stack web applications. • Strong front-end skills with modern web technologies and frameworks. • Solid backend experience in a language such as Python, Rust, Go, or similar. • Experience designing and integrating APIs and backend systems that support customer-facing products. • Strong command of web fundamentals, product quality, and user experience. • Strong communication skills and the ability to collaborate closely with design, product, and engineering partners. • Nice to have: Experience with Elm, or interest in learning it. • Experience with backend systems involving databases, schema design, or performance optimization. • Familiarity with cloud infrastructure and containerized deployment environments. • Experience building developer-facing products, internal tools, or API-centric interfaces. • Experience with voice, audio, real-time systems, or AI products. Benefits: • Offers Equity • Offers Bonus • 10% Annual Bonus

Build and maintain full-stack backend and frontend services with a focus on scalable APIs and user interfaces. | 3+ years full-stack engineering experience with TypeScript, API development, and collaborative communication skills. | Location USA | Remote Employment Type Full time Location Type Remote Department Engineering Compensation • Estimated Base Salary $150K – $220K • Offers Equity • Offers Bonus • 10% Annual Bonus This range is determined by work location and additional factors, including job-related skills and experience. There may be instances where a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. Please note that the compensation details listed on US role postings reflect the base salary only and does not include bonus, equity or benefits. Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited 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: Saga is Deepgram’s consumer facing application - this application lets people control their tools, workflows, and environments using natural speech. Deepgram Saga is an innovative voice OS designed for professionals, enabling hands-free control of their workflow through natural language. It integrates seamlessly with existing tools like Slack, Linear, and Notion, allowing them to execute tasks via voice commands, thereby reducing context-switching and enhancing productivity. We're a full-stack team that values high-quality, iterative delivery and thoughtful code design. We function like a startup within a startup, characterized by our scrappiness and adaptability. Our backend services are built with Node.js and Socket.io, chosen for its performance, developer velocity, and strong ecosystem. We use TypeScript to add type safety and improve maintainability across our codebase. On the frontend, we use React and Next.js to deliver fast, resilient user experiences with server-side rendering, dynamic routing, and seamless integration with our voice-native workflows. Across the stack, we care deeply about schema clarity, performance, and long-term maintainability. Responsibilities • Build, ship, and maintain backend services using Node.js, Socket.IO, AWS Amplify, and DynamoDB • Work across the frontend with TypeScript, React, Next.js • Design and integrate APIs using both REST and GraphQL, supporting flexible, scalable data access across services • Develop deep expertise in a few areas while remaining comfortable diving into new parts of the codebase • Participate in code reviews and architecture discussions, fostering a culture of clarity, curiosity, and shared ownership • Translate high-level product requirements into parallelizable, incrementally releasable tasks • Balance short-term deliverables with long-term investments in efficiency, scalability, and performance Qualifications • 3+ years of experience on a full-stack engineering team, building and maintaining production-grade services • Professional experience with TypeScript, including API development, backend service design, and system integration • Experience building user interfaces through reusable, composable components—favoring clarity, encapsulation, and predictable state management. • Proven ability to optimize database performance through thoughtful schema design, query tuning, and indexing strategies • Strong communication skills and the ability to navigate technical tradeoffs in a collaborative, cross-functional environment Nice to Have: • Experience with AWS Amplify • Familiarity with Electron and building cross-platform desktop (or mobile) applications • Experience integrating with LangChain, or other LLM orchestration frameworks • Comfort working in startup environments, where ambiguity, speed, and scrappy problem-solving are the norm • A self-starting mindset with the ability to scope, prioritize, and execute independently • Strong product intuition and curiosity about how users interact with emerging interfaces • Prior experience with voice technology and AI-driven applications Compensation Range: $150K - $220K

Drive technical adoption and partner success for AI infrastructure platforms through demos, troubleshooting, and strategic management. | Significant technical customer-facing experience with strong partner management, infrastructure knowledge, and AI-native operating mindset. | Location USA | Remote Employment Type Full time Location Type Remote Department Customer Success Compensation • Inludes 10% Bonus ~ TIER 1 (San Fran & NYC) OTE: 205k-245k Anywhere else OTE: $195K – $235K • Offers Equity This range is determined by work location and additional factors, including job-related skills and experience. There may be instances where a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. Please note that the compensation details listed on US role postings reflect the base salary only and does not include bonus, equity or benefits. Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Our Customer Success team — The Heartbeat of Deepgram — sits at the intersection of partners, product, and growth. We don’t just “manage accounts.” We make Deepgram succeed inside our partners’ environments by combining deep technical expertise, commercial instinct, and an AI-native way of working — and by building the systems that make the whole team’s work compound over time. A Partner Success Engineer, Infrastructure is a hands-on customer success representative who drives joint adoption, solves hard technical problems, uncovers expansion, and owns a portfolio of strategic infrastructure partners end to end. This is a specialized seat focused on the silicon, hardware, cloud, inference, and security platforms that Deepgram’s voice AI runs on — the partners whose chips, servers, accelerators (CPU/GPU/NPU), cloud and inference platforms, on-device and edge runtimes, and confidential-computing or model-security layers determine where and how our models can be deployed. Increasingly, our largest opportunities depend on meeting customers wherever their data and compute live — self-hosted, on-premises, air-gapped, single-tenant dedicated, and at the edge. The infrastructure partners in this portfolio are how we get there, both as a distribution channel and as the technical foundation for secure, performant deployment. You’ll own that motion: turning deep technical validation into joint go-to-market, co-sell, and durable channel growth. Who You Are You’re not a traditional CSM, Technical Account Manager or Partner Manager. You operate at the intersection of three competencies, and you’re genuinely strong across all three: • Expert technical consulting — you run demos, guide deployment architecture discussions, troubleshoot integrations, and help partners and their customers stand up Deepgram across self-hosted, on-prem, dedicated, and edge environments. No coding required, but you’re fluent in APIs, containers and orchestration, inference on GPUs/accelerators, and real technical conversations. • Strategic partner management — you build trust from individual developers and platform engineers up to CTOs, own the full partner lifecycle, and turn technical adoption into channel growth across OEMs, distributors, cloud and inference providers, and other multi-party commercial relationships. • AI-native operating model — AI is how you work, not a tool you occasionally reach for. When you hit recurring work, your instinct is to build the system that removes it. You may have been a Partner Manager, Channel Manager, Technical Account Manager, Solutions, Deployment, or Sales Engineer, Implementation or Infrastructure Engineer, strategic CSM, or Support Engineer — ideally with exposure to infrastructure, platform, or hardware ecosystems. Whatever your path, you’re probably strongest in one or two of these competencies — but you can demonstrate all three, and you’re eager for a role where you deploy them concurrently. You thrive on bringing definition to ambiguity. You form a point of view and bring a recommendation rather than staying in open-ended discovery mode. You’re comfortable operating outside your comfort zone, you question the status quo, and you learn fast. What You’ll Do • Serve as the technical advisor and strategic owner for a portfolio of strategic infrastructure partners, engaging everyone from developers and platform/ML engineers to CIOs and CTOs. • Own the full partner lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy. • Drive joint adoption through live demos, workshops, deployment architecture guidance, benchmarking, troubleshooting, and best-practice recommendations — making Deepgram successful inside the partner’s environment and on the partner’s hardware and platforms. • Lead joint technical validation: scope and run POCs and evaluations that prove Deepgram models on partner infrastructure across self-hosted, on-prem, air-gapped, dedicated, and on-device/edge deployments, including security-sensitive and regulated use cases. • Run discovery continuously: surface partner problems, understand their business impact, and translate them into actionable requirements for product and engineering. • Identify and scope expansion (cross-sell, upsell, multi-product, co-sell) in partnership with Sales, and activate partner channels — OEMs, distributors, marketplaces, and cloud/inference providers — to reach their customer base. Lead executive business reviews and joint planning sessions. • Support joint go-to-market and co-marketing in partnership with Marketing — joint blogs, one-pagers, PR, and live demos at partner events and industry conferences — to drive awareness and activate the channel. • Act as the voice of the partner internally — influencing roadmap (especially deployment, self-hosted, security, and edge), GTM strategy, and the tools we build to support partners. • Track adoption, usage, health, and expansion to drive outcomes; travel to partner sites and events as needed. • Operate AI-first by default, and build tools, agents, and workflows that eliminate recurring work for you and the broader team. Your impact is measured by the leverage you create, not just the partners you serve. What We’re Looking For • Significant experience in technical, customer-facing roles — TAM, sales/solutions/deployment engineering, partner or enterprise CS with a strong technical focus, implementation, or support — at API-driven, developer-first, infrastructure, or AI companies. For most people that’s roughly 7+ years, but we care more about the shape of your experience than the exact number. • A track record that blends partner or customer ownership with technical depth: solution and deployment design, hands-on troubleshooting, and commercial growth. • Hands-on experience running demos, POCs, or technical workshops with enterprise partners or customers — leading them, not just attending. • Fluency discussing APIs, integrations, and developer workflows, and troubleshooting L1-style issues (no coding required, but genuinely conversant — not hand-waving). • Working understanding of deployment and infrastructure: containers and orchestration (Docker, Kubernetes/Helm), inference on GPUs/accelerators, and the trade-offs across self-hosted, on-prem, air-gapped, dedicated, and edge/on-device deployments — including basic latency, throughput, and benchmarking concepts. • Demonstrated success identifying and landing expansion in complex enterprise or partner accounts. • A strong understanding of partner ecosystems and channel business models — resale, referral, integrations, co-marketing, co-selling — and multi-party commercial dynamics, ideally including hardware/silicon, cloud and inference providers, or OEM/distributor channels. • Experience engaging both technical stakeholders (developers, platform and ML engineers, architects) and executive buyers (CIO, CTO, VP Engineering). • Exceptional communication, influence, and relationship-building — concise and structured, across technical and business audiences. • Something you’ve built — a tool, agent, script, or workflow — that permanently eliminated recurring work. In your application, tell us what it was, what it replaced, and what it’s still doing today. • An AI-native operating model: specific workflows that structurally depend on AI, and a clear account of how you’d rebuild them if those tools disappeared tomorrow. Nice to Have • Experience in machine learning, voice AI, cloud infrastructure, or developer-first technologies. • Familiarity with GPU/accelerator infrastructure and inference optimization — quantization, model serving, throughput/latency tuning, or benchmarking. • Exposure to confidential computing, trusted execution environments, model/weight security, or deployments in regulated industries. • Experience with on-device or edge AI deployment across CPU/GPU/NPU targets, model catalogs, or hardware optimization toolchains. • Telephony / CCaaS / CPaaS background (e.g., Twilio, Genesys) — maps directly to our partner ecosystem. • A background spanning solutions/deployment engineering, TAM, or L1 support alongside CS or partner responsibilities. • Familiarity with channel/partner marketing, enablement programs, or technical enablement asset creation. • Working fluency with automation, scripting, or agent-building (Python, TypeScript, workflow tools, agent frameworks, or equivalent). You don’t need to be a software engineer — just dangerous enough to ship working systems. Compensation Range: $195K - $235K

Design and implement secure, scalable backend services for speech processing and distributed compute orchestration. | 3+ years industry experience with Rust or C/C++, Python, UNIX systems, and strong communication skills. | Location USA | Remote Employment Type Full time Location Type Remote Department Engineering Compensation • Estimated Base Salary $150K – $220K • Offers Equity • Offers Bonus • 10% Annual Bonus This range is determined by work location and additional factors, including job-related skills and experience. There may be instances where a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. Please note that the compensation details listed on US role postings reflect the base salary only and does not include bonus, equity or benefits. Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Opportunity Deepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s products. You will design and implement secure, robust, and scalable services for speech processing; efficient, distributed compute orchestration; optimized scheduling, and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish. What You’ll Do • Improve Deepgram’s core inference services including areas in networking, speech processing, audio transcoding, and latency and memory optimization • Develop processes for measuring, building, and optimizing services to maximize system performance • Debug complex system issues that include networking, scheduling, and high performance computing interactions • Rapidly customize backend services to support our customer needs • Partner with Product to design and implement new services, features, and/or products end to end You’ll Love This Role If You • Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity • Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work It’s Important To Us That You Have • 3+ years of experience in an industry role • Programming experience in Rust (or C, C++), with competence in Python • Excellent communication and organizational skills, both written and verbal. • A high level of experience and understanding of version control; preferably git. • Comprehensive experience with UNIX-style systems. It Would Be Great if You Had • Experience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformers • Experience with audio processing Compensation Range: $150K - $220K

Build and maintain full-stack services and design scalable APIs for Saga voice OS. | 3+ years full-stack experience with strong TypeScript mastery and UI component building proficiency. | Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited 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: Saga is Deepgram’s consumer facing application - this application lets people control their tools, workflows, and environments using natural speech. Deepgram Saga is an innovative voice OS designed for professionals, enabling hands-free control of their workflow through natural language. It integrates seamlessly with existing tools like Slack, Linear, and Notion, allowing them to execute tasks via voice commands, thereby reducing context-switching and enhancing productivity. We're a full-stack team that values high-quality, iterative delivery and thoughtful code design. We function like a startup within a startup, characterized by our scrappiness and adaptability. Our backend services are built with Node.js and Socket.io, chosen for its performance, developer velocity, and strong ecosystem. We use TypeScript to add type safety and improve maintainability across our codebase. On the frontend, we use React and Next.js to deliver fast, resilient user experiences with server-side rendering, dynamic routing, and seamless integration with our voice-native workflows. Across the stack, we care deeply about schema clarity, performance, and long-term maintainability. Responsibilities Build, ship, and maintain backend services using Node.js, Socket.IO, AWS Amplify, and DynamoDB Work across the frontend with TypeScript, React, Next.js Design and integrate APIs using both REST and GraphQL, supporting flexible, scalable data access across services Develop deep expertise in a few areas while remaining comfortable diving into new parts of the codebase Participate in code reviews and architecture discussions, fostering a culture of clarity, curiosity, and shared ownership Translate high-level product requirements into parallelizable, incrementally releasable tasks Balance short-term deliverables with long-term investments in efficiency, scalability, and performance Qualifications 3+ years of experience on a full-stack engineering team, building and maintaining production-grade services Professional experience with TypeScript, including API development, backend service design, and system integration Experience building user interfaces through reusable, composable components—favoring clarity, encapsulation, and predictable state management. Proven ability to optimize database performance through thoughtful schema design, query tuning, and indexing strategies Strong communication skills and the ability to navigate technical tradeoffs in a collaborative, cross-functional environment Nice to Have: Experience with AWS Amplify Familiarity with Electron and building cross-platform desktop (or mobile) applications Experience integrating with LangChain, or other LLM orchestration frameworks Comfort working in startup environments, where ambiguity, speed, and scrappy problem-solving are the norm A self-starting mindset with the ability to scope, prioritize, and execute independently Strong product intuition and curiosity about how users interact with emerging interfaces Prior experience with voice technology and AI-driven applications

Lead execution of AI infrastructure and tooling programs coordinating ML research, engineering, and product teams. | 5+ years program management or technical leadership in ML infrastructure or AI tooling with strong ML systems acumen. | Location USA | Remote Employment Type Full time Location Type Remote Department Engineering Compensation • Estimated Base Salary $152K – $190K • Offers Equity • Offers Bonus • 10% Annual Bonus This range is determined by work location and additional factors, including job-related skills and experience. There may be instances where a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. Please note that the compensation details listed on US role postings reflect the base salary only and does not include bonus, equity or benefits. Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Deepgram is seeking a Senior Technical Program Manager (AI Tooling & Systems) to drive execution of large-scale ML infrastructure and AI tooling initiatives. In this role, you'll own the end-to-end delivery of programs that span model serving infrastructure, ML pipelines, internal AI tooling, and real-time inference systems—working closely with our ML engineers, research teams, and product to unlock capability at scale. You'll thrive here if you enjoy creating clarity around complex ML system tradeoffs, building tools and processes that accelerate model development and deployment, and partnering across research, engineering, and product to align on technical strategy and execution. What You'll Do • Own end-to-end delivery of AI infrastructure programs—from model training pipelines and experiment tracking to inference serving and production monitoring • Define technical architecture, integration patterns, and rollout strategies for new ML systems and tooling (e.g., vector databases, model servers, evaluation frameworks, prompt engineering platforms) • Serve as connective tissue between ML research, ML engineering, product, and data teams to align on ML system requirements, capability roadmaps, and deployment timelines • Drive cost and latency optimization for real-time inference workloads at scale • Build lightweight internal tools and processes to accelerate ML iteration cycles (experiment tracking, model versioning, A/B testing infrastructure) • Identify and resolve technical bottlenecks in training pipelines, serving infrastructure, and model evaluation workflows • Work closely with ML practitioners to translate research breakthroughs into scalable, observable systems You'll Love This Role If You • Are passionate about building ML systems and infrastructure that powers frontier AI applications • Enjoy optimizing inference cost, latency, and throughput for LLM and multimodal workloads at scale • Love solving hard problems at the intersection of ML research and production systems (e.g., distillation, quantization, batching strategies) • Are excited about frontier model serving technologies, vector search, and real-time ML inference • Want to directly enable ML researchers and engineers to iterate faster and ship better models It's Important That You Have • 5+ years of program management or technical leadership in ML infrastructure, ML platforms, or AI tooling (or equivalent) • Strong technical acumen in ML systems—ideally hands-on experience as an ML engineer, systems engineer, or ML infrastructure engineer • Experience coordinating cross-functional ML programs (e.g., model training evaluation serving monitoring) • Proven ability to translate ML/research requirements into robust, scalable infrastructure • Comfortable working in ambiguity and helping teams navigate complex technical tradeoffs (e.g., accuracy vs. latency vs. cost) • Excellent communication with both technical and non-technical stakeholders • Familiarity with high-growth or startup environments It Would Be Great If You Had • Hands-on experience with model serving frameworks (vLLM, TensorRT, TorchServe, or similar) • Experience optimizing LLM or speech/audio model inference (quantization, distillation, KV-cache optimization, batching strategies) • Familiarity with ML experiment tracking and versioning tools (MLflow, Weights & Biases, DVC, or similar) • Background in feature stores, vector databases, or real-time ML systems • Knowledge of cost optimization for GPU/ML workloads on cloud and on-premise infrastructure • Experience with multi-region model serving or edge deployment • Hands-on with relevant frameworks (PyTorch, CUDA, Hugging Face, etc.) or cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Compensation Range: $152K - $190K

Coordinate and drive delivery of complex technical programs across hardware, software, and research teams. | 5+ years program management experience with strong technical acumen in high-growth startup environments. | Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Deepgram is seeking a Senior Technical Program Manager (Engineering) to drive execution across complex, cross-functional programs involving both software and hardware. In this role, you’ll work closely with our engineering and research teams to manage large-scale, technically demanding initiatives—from inception through delivery. You’ll thrive here if you enjoy creating clarity out of complexity, organizing ambiguous requirements into coherent roadmaps, and getting into the technical weeds to keep programs moving forward. We’re looking for someone who has led large, multi-disciplinary initiatives and can partner with researchers, engineers, and business stakeholders to align teams and outcomes. What You’ll Do Own the end-to-end delivery of technical programs, many of which span hardware, software, and research efforts Define workstreams, set milestones, and coordinate execution across multiple teams and functions Serve as the connective tissue between engineering, research, product, and operations to ensure aligned priorities and timelines Proactively identify and resolve bottlenecks, trade-offs, and interdependencies Dive deep into technical topics to ensure risks are understood and addressed early Build lightweight processes and tooling to help teams scale sustainably You’ll Love This Role If You Are passionate about building reliable, scalable, cutting-edge AI infrastructure Enjoy optimizing complex distributed systems for performance and cost Love solving challenging problems in compute, networking and storage at global scale Are excited about working with cutting-edge GPU infrastructure, and frontier research in ML architecture Want to work at the intersection of humans and AI/ML systems It’s Important To Us That You Have 5+ years of program management experience leading large, cross-functional initiatives Strong technical acumen—bonus if you’ve been an engineer or worked closely with applied-ML teams Experience coordinating programs that touch both hardware and software domains AI forward program management practices and processes Proven ability to thrive in high-growth or startup environments Comfortable navigating ambiguity and helping others do the same Excellent communication and stakeholder management skills It Would Be Great if You Had Familiarity with AI/ML workloads and their infrastructure requirements Knowledge of cost optimization for cloud and on-premise infrastructure Experience with multi-region, multi-cloud infrastructure deployment Background in performance optimization for distributed systems Experience with software-defined infrastructure and networking Certification and/or hands on experience with relevant cloud platforms (AWS, GCP, Azure) Experience with software-defined infrastructure and networking Benefits & Perks* Holistic health Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Work/life blend 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 Continuous learning 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.