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The Strategic Partner Manager at Deepgram will build and scale technology partnerships, drive revenue motions, and operate AI-natively to enhance partner relations and ecosystem integration.

Design and implement secure, scalable backend services for speech inference and audio processing. Optimize networking, transcoding, latency, memory, and distributed compute orchestration. Measure and improve system performance, debug complex networking/scheduling/HPC issues, customize services for customers, and partner with Product to deliver features end-to-end.

Build and maintain full-stack features for Saga, Deepgram's voice OS. Develop backend services (Node.js, Socket.IO, DynamoDB, AWS Amplify), frontend interfaces (TypeScript, React, Next.js), and scalable REST/GraphQL APIs. Participate in architecture, code reviews, performance optimization, and translate product requirements into iterative deliverables.

Own technical and strategic partner relationships for infrastructure platforms (silicon, cloud, edge, confidential computing). Lead onboarding, POCs, demos, deployment guidance, troubleshooting, and joint go-to-market to drive adoption and expansion of Deepgram’s voice AI on partner hardware and platforms.

Lead corporate communications strategy and execution: own product and model launches, media and executive communications, narratives, social presence, and major company moments. Translate technical research and product advances into compelling stories for developers, enterprise buyers, partners, and analysts. Partner cross-functionally with CEO, CMO, product, brand, and demand gen to build credibility and influence in the voice AI ecosystem.

Lead Deepgram's upmarket enterprise readiness by defining strategy and sequencing for SSO, compliance, security artifacts, and Console UX. Remove procurement blockers, ship solutions across Console, APIs, and managed endpoints, and work closely with engineering, design, and sales to enable self-serve enterprise procurement and speed deal closure.

Lead and build Deepgram's AI enablement function: prototype and ship reusable agents, MCP servers, paved-road workflows, prompt and retrieval patterns, and an enablement hub. Drive company-wide AI adoption with measurable productivity metrics, embed safe-use guardrails, partner across Platform, Security, Data, and People Ops, and grow a central team and distributed champions network.

Lead end-to-end delivery of ML infrastructure and AI tooling programs, defining architecture and rollout strategies for training, serving, and monitoring. Coordinate research, engineering, product, and data teams to optimize inference cost/latency, build internal tools for experiment tracking and model versioning, and resolve bottlenecks to enable faster, scalable ML deployments.

Build and run an editorial function that translates Deepgram's technical expertise into compelling stories. Own editorial strategy, content calendar, interviews, writing and editing across formats (essays, customer stories, explainers, newsletters), partner cross-functionally, and create repeatable editorial franchises to establish Deepgram as a leading voice in voice AI.

Design and implement scalable, secure inference services for speech processing. Optimize networking, audio transcoding, latency, memory, and distributed compute orchestration. Debug complex system issues, customize backend services for customers, and partner with Product to deliver end-to-end features.