Jobs at Deepgram

Leads Deepgram’s end-to-end Text-to-Speech research program, owning research strategy, technical direction, model development, evaluation, and production deployment. Advances neural audio modeling, prosody, expressiveness, multilingual generation, voice consistency, controllability, and inference performance. Builds and develops research teams, manages technical leaders, prioritizes experiments and compute, evaluates model quality, and partners with engineering and product leadership to ship production-grade models.

Conduct talent mapping, market research, proactive sourcing, and pipeline development across technical, business, and leadership roles. Partner with recruiters and hiring managers to define target profiles, identify passive candidates, analyze talent availability and compensation trends, and deliver actionable market intelligence. Build evergreen talent communities, improve research workflows and tools, and adapt quickly to changing hiring priorities.

Build AI-powered workflows, agents, integrations, and internal tools that automate People Operations. Partner with People, Engineering, and IT to modernize onboarding and other employee processes, while implementing secure access controls, human oversight, escalation paths, and production-ready architectures. Prototype with users, iterate quickly, and measure improvements in efficiency, employee experience, and operational consistency.

Lead Deepgram’s corporate legal function, including governance, IPO readiness, financings, M&A, employee equity, international subsidiaries, and regulatory developments. Partner with Finance, People, and company leadership to build scalable legal processes for a fast-growing AI company. Establish an AI-native legal practice while advising on a broad range of startup legal matters.

Senior Commercial Counsel will negotiate enterprise sales, partnership, vendor, services, data licensing, and marketing agreements. The role advises on privacy, intellectual property, data security, AI law, and cross-border data transfers across the UK/EU and APAC. Responsibilities include building scalable legal processes, supporting sales and business development, managing international regulatory issues, and translating evolving AI legal developments into practical guidance for a fast-growing company.

Own the company’s metric registry and canonical definitions, resolve conflicting metrics, enforce definitions in semantic and catalog systems, and retire redundant reporting assets. Build data quality checks, route failures to accountable owners, and evaluate AI agents against ground truth. Enable trustworthy self-service analytics through governed data. The role requires strong SQL, production ownership of a semantic or metrics layer, data catalog or lineage experience, clear documentation, and cross-functional decision-making.

Lead and coach a recruiting team while owning day-to-day talent acquisition execution across engineering, research, and go-to-market functions. Run full-cycle recruiting, support complex searches, build AI-assisted workflows and scalable recruiting systems, use funnel data to diagnose performance, develop recruiters, and improve hiring quality through structured interviewing and stakeholder coaching.

Drive new customer acquisition and revenue growth across Fortune 500 accounts in the greater New York area. Build executive relationships through in-person engagement, self-prospect for new opportunities, manage complex enterprise sales cycles, exceed targets, and expand existing accounts. Partner with Marketing, SDR, Partner, Sales Operations, Sales Engineering, and Customer Success teams while developing expertise in Deepgram’s Voice AI products and competitive landscape.

Partner with the SVP of Customer Success to improve executive effectiveness and organizational operating rigor. Responsibilities include calendar and meeting management, forecasting and business analytics, executive and board reporting, cross-functional initiative coordination, operating-rhythm management, action tracking, process improvement, and synthesizing data into insights, risks, decisions, and recommendations. The role combines executive support, business operations, project management, and analytical judgment.

Own enterprise voice AI deployments for strategic restaurant customers, from technical discovery and architecture through integration, go-live, optimization, and production support. Write code, configure APIs and workflows, troubleshoot live issues, and collaborate with customer engineering teams and business leaders. Develop reusable deployment tools, reference architectures, and playbooks while translating field challenges into product improvements. Partner closely with Sales, Product, and Engineering and serve as a trusted technical escalation point.

Designs and maintains automated test frameworks and exploratory suites for products, APIs, SDKs, AI models, and data platforms. Develops functional, integration, end-to-end, regression, API, browser, load, and reliability tests; creates datasets, evaluation pipelines, dashboards, and CI/CD release gates. Partners across Engineering, Research, Product, Data, and Infrastructure to validate model behavior, data quality, performance, and production readiness. Documents reproducible defects, supports triage, and communicates risks.

Own Deepgram’s EMEA sales region and P&L, drive ARR growth, establish the London hub, and build a high-performing Account Executive organization. Lead enterprise and commercial sales, develop regional partners, improve forecasting and territory management, influence product priorities through market feedback, and sponsor major accounts. Partner with Marketing, RevOps, Customer Success, and Product while developing sales talent and applying AI tools to improve productivity and execution.

Own Deepgram’s strategic AWS partnership, including technical adoption, retention, expansion, Marketplace listings, private offers, co-selling, and joint GTM. Serve as AWS’s trusted technical and commercial advisor, lead demos, workshops, architecture guidance, troubleshooting, business reviews, and joint planning. Track usage and growth, influence internal product and GTM strategy, and build AI-powered tools and workflows that eliminate recurring work.

Own the APAC/ANZ territory by generating pipeline, managing full-cycle direct and partner co-sell deals, closing new logos, and expanding existing accounts. Sell Deepgram’s technical voice AI platform to engineering, architectural, business, and enterprise buyers. Partner with SDRs, Marketing, Field Engineers, and technology partners; represent Deepgram at industry events; maintain forecasting accuracy; and provide customer and market feedback.

As a Solutions Architect at Deepgram, you will engage with customers, solve technical issues, enhance support solutions, and develop automation processes.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

As a Solutions Architect at Deepgram, you'll engage with customers post-sales to resolve complex technical issues, create scalable solutions, and enhance support processes, using your engineering skills and experience in customer-focused roles.

Own technical design and delivery of enterprise customer implementations across MENA, from discovery and proof-of-concept through production cutover. Lead pre-sales evaluations, design scalable solutions addressing customer stacks and data residency, create reusable architectures and deployment playbooks, support complex post-onboarding issues, and represent Deepgram with Arabic-speaking customers. Provide product and research feedback on Arabic speech models and help expand regional coverage.

Build and deploy production backend services, third-party integrations, internal tooling, and voice agents for strategic enterprise customers. Work directly on site with customer technical and business teams, monitoring and optimizing live systems for accuracy, latency, and throughput. Collaborate with research and product teams to extend the platform, provide field feedback, and create reusable solutions. The role involves regular customer-site work, solution scoping, technical problem-solving, and end-to-end ownership of deployed systems.