Deepgram

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.

Build and scale a strategic technology partner ecosystem leveraging AI and joint value propositions. | 8+ years in partner management or enterprise sales with experience managing strategic technology partnerships and AI ecosystem knowledge. | 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 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. What You’ll Do Own the Strategic Partner Strategy 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 Drive Partner Revenue Motions 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 Build Partner-Sourced Pipeline 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 Create Joint Solutions & Enablement 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 Operate AI-Natively 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 Represent Deepgram Externally 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 Partner Cross-Functionally Collaborate closely with Enterprise Sales, Solutions Engineering, Product, Marketing, Legal, and Leadership teams Remove friction and accelerate partner-driven revenue growth What You Bring 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 Nice to Have 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 Why Deepgram 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. 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 Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs 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.

Build and scale a global GSI partner ecosystem focusing on strategic relationships and driving revenue through multiple sales motions using AI tools. | 8+ years in partner management or enterprise sales with 3-5 years managing GSI relationships and strong AI ecosystem understanding. | 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 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. What You’ll Do Own the GSI Strategy 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 Drive Partner Revenue Motions 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 Build Partner-Sourced Pipeline 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 Create Joint Solutions & Enablement 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 Operate AI-Natively 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 Represent Deepgram Externally 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 Partner Cross-Functionally Collaborate closely with Enterprise Sales, Solutions Engineering, Product, Marketing, Legal, and Leadership teams Remove friction and accelerate partner-driven revenue growth What You Bring 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 Nice to Have 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 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 Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs 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.

Build open-source reference applications and technical content to promote voice AI APIs and engage developer communities. | 5+ years software engineering or developer relations experience, proficiency in multiple languages, US East Coast location, AI-first mindset. | 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. About Deepgram 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. About the Role 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. What You’ll Do 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. What We’re Looking For Experience: 5+ years in Software Engineering or Developer Relations. You've shipped production code and you've shipped developer-facing content Tech Stack: Solid foundation in JavaScript, Python, Java, C#, Rust, or Go. You're comfortable building APIs, wiring up integrations, and creating clean frontends to showcase your work. AI-First Mindset: You use AI tools in your daily workflow for coding, content, research, automation. You're not just building AI demos; you're productive with AI. Educator Mindset: A portfolio of technical writing, blog posts, talks, or video content that demonstrates that you can make complex topics land with a developer audience. Community Fluency: Experience participating in or building developer communities. You know how to engage with empathy and technical credibility, and when to step back and let the community lead. Technical Communicator: You simplify complex AI orchestration through clear writing, documentation, and high-quality code samples. Developers trust your explanations. High Autonomy: You proactively find the gaps, define the plan, and drive to outcomes without waiting to be pointed at a problem. Location: US East Coast, with the ability to attend and represent Deepgram at events in the NY metro area. Some travel beyond the region (~25%) for conferences and team gatherings. Preferred / Nice-to-Have 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. Why This Role Matters 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. 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 Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs 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.

Manage developer-facing events and community programs to drive API engagement and build a local voice AI developer community. | 3-5 years in Developer Relations or Community Management with technical proficiency in JavaScript or Python and experience executing technical events. | 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. About Deepgram 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. About the Role 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. What You'll Do 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. What We're Looking For 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. Preferred / Nice-to-Have 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. Why This Role Matters 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. 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 Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs 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.

Design and maintain billing pipelines and develop billing dashboards and analytics tools. | 5+ years in billing, payments, or financial data systems with backend proficiency in Python, TypeScript, or Go and relational database experience. | 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. About the Role 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. What You’ll Do 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. What We’re Looking For 5+ years of experience building and operating billing, payments, metering, or financial data systems in a SaaS or usage-based pricing environment. Strong backend engineering skills in at least one of: Python, TypeScript/Node.js, Go, or similar. Comfort working across the stack when needed. Deep experience with relational databases (PostgreSQL, MySQL) and data pipeline design—schema modeling, query optimization, and high-volume event processing. Hands-on experience integrating with billing or subscription platforms (e.g., Stripe, M3ter, Metronome, Chargebee, Zuora) and CRM systems (Salesforce). Understanding of usage-based pricing models, metering patterns, and the edge cases that come with them (proration, overages, commitments, credits, multi-currency). Experience building reconciliation and data integrity systems that ensure financial accuracy at scale. Strong communication skills—you can partner effectively with Finance, RevOps, Product, and Growth teams to translate business requirements into reliable systems. A security-conscious mindset, especially around authentication, token management, and access control. Nice to Have 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. Why This Role Matters 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. 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 Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs 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.

Lead technical discovery and design custom proofs-of-concept collaborating with sales teams to address technical objections. | Requires 5+ years in technical pre-sales or solutions architecture with strong software engineering and communication skills. | 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. Note: This individual must be based within either Eastern or Pacific Time in the US. 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. 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. 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 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 Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs 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.

Lead technical discovery and design custom proof-of-concepts for enterprise clients to support sales efforts. | 5+ years in technical pre-sales or solutions architecture with strong software engineering and AI/speech technology experience. | 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. Note: This individual must be based within either Eastern or Pacific Time in the US. 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 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 Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs 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.

Lead technical pre-sales engagements by designing solutions, building demos, and collaborating with sales to drive customer adoption of AI speech technology. | Requires 5+ years in technical pre-sales or similar roles, strong software engineering background, experience with complex sales cycles, and excellent communication skills. | 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. Note: This individual must be based within either Eastern or Pacific Time in the US. 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 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 • Generous paid parental leave • Flexible schedule • 12 Paid US company holidays • Quarterly personal productivity stipend • One-time stipend for home office upgrades • 401(k) plan with company match • Tax Savings Programs 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.

Design and implement secure, scalable backend services for speech processing and distributed compute orchestration, optimizing system performance and collaborating with product teams. | 3+ years industry experience, programming in Rust or C/C++, competence in Python, strong UNIX system knowledge, and excellent communication skills. | Company Overview Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs 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. 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 join the Engine team to lead the design and implementation of Deepgram’s products. You will design and implement secure, robust, and scalable services for speech processing; efficient, distributed compute orchestration; optimized scheduling, and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish. What You’ll Do • Improve Deepgram’s core inference services including areas in networking, speech processing, audio transcoding, and latency and memory optimization • Develop processes for measuring, building, and optimizing services to maximize system performance • Debug complex system issues that include networking, scheduling, and high performance computing interactions • Rapidly customize backend services to support our customer needs • Partner with Product to design and implement new services, features, and/or products end to end You’ll Love This Role If You • Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity • Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work It’s Important To Us That You Have • 3+ years of experience in an industry role • Programming experience in Rust (or C, C++), with competence in Python • Excellent communication and organizational skills, both written and verbal. • A high level of experience and understanding of version control; preferably git. • Comprehensive experience with UNIX-style systems. It Would Be Great if You Had • Experience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformers • Experience with audio processing Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

As a Customer Success Engineer, you will act as a technical expert and strategic advisor to enterprise customers, ensuring adoption and solving complex technical challenges. You will manage the full customer lifecycle, focusing on making Deepgram successful in the customer’s environment and identifying opportunities for expansion. | Candidates should have 7–10+ years of experience in Technical Account Management, Sales Engineering, or Enterprise Customer Success with a strong technical focus. A proven track record in roles that blend customer engagement with technical expertise is essential. | Company Overview Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs 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. 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. The Opportunity 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. Who You Are 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 Partner 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. What You’ll Do 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). You’ll Love This Role If You 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. It Would Be Great If You Had 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. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

As a Partner Success Engineer, you will nurture and grow relationships with strategic customers and technology partners, leading initiatives that drive joint adoption and measurable business outcomes. You will own the lifecycle for assigned partners from onboarding and enablement through engagement, performance analysis, and expansion. | You should have 7–10+ years in Technical Account Management, Sales Engineering, or Enterprise Customer Success with a strong technical focus. A proven track record in roles that blend customer engagement with technical expertise is essential. | Company Overview Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs 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. 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. 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. Who You Are 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 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 Partner Manager, 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 Partner 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. What You’ll Do Develop and scale best practices, processes, and tools for partner success management. 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/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 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. Leverage AI to amplify your impact; be an expert in how you 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. 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). Lead issue resolution and serve as an escalation point for complex, cross-functional partner matters, ensuring timely and satisfactory outcomes. You’ll Love This Role If You 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.). 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. Experience building new processes from the ground up. Experience building or scaling a customer success or channel program. It Would Be Great If You Had 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. Familiarity with automation tools, advanced analytics, and/or basic scripting that help you move faster and smarter. 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. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Design and maintain scalable backend services, data pipelines, and developer tooling for AI workloads. | 5+ years backend development with Python, Go, or Node.js, experience with container orchestration, data pipelines, AI APIs, and CI/CD. | Company Overview Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs 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 Opportunity: We are seeking an experienced (Senior/Staff level) Backend Engineer to design, implement, and maintain our large-scale distributed systems infrastructure. You'll be responsible for building and optimizing our network architecture, storage solutions, and compute platforms that power our AI/ML workloads. This role combines expertise in network engineering, storage systems, and modern container orchestration platforms, with a focus on reliability, scalability, and cost-effectiveness. What You’ll Do • Design, build, and maintain scalable backend services and APIs for our internal developer platform. • Develop and manage robust data pipelines to support engineering and research workflows. • Build tooling and automation to enhance developer productivity and streamline CI/CD processes. • Collaborate with product and research teams to integrate new AI capabilities into the platform. • Ensure the reliability, performance, and scalability of the platform's backend infrastructure. You’ll Love This Role If You • Are passionate about building scalable, high-performance backend systems. • Enjoy designing and implementing robust data pipelines and developer workflows. • Love solving challenging problems by building resilient backend services and APIs. • Are excited about leveraging AI to enhance developer productivity and platform capabilities. • Want to work at the intersection of software engineering, data, infrastructure, and AI. It’s Important To Us That You Have • 5+ years of experience in backend software development. • Proficiency in back-end development (e.g., Python, Go, Node.js). • Demonstrated experience building internal developer platforms or similar developer-centric tooling. • Proficiency with data engineering concepts and building ETL/ELT pipelines. • Expertise in leveraging AI APIs or building applications on top of large language models. • Experience with containerization (Docker) and orchestration platforms (Kubernetes). • A strong understanding of CI/CD principles and building automated pipelines. It Would Be Great if You Had • Experience with Infrastructure-as-Code (e.g., Terraform, Pulumi). • Familiarity with distributed data stores (e.g., NoSQL, object storage). • Experience with message queues and event-driven architecture (e.g., Kafka, NATS). Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.