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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.

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

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 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.

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.

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.

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.

Own the research-to-production pipeline: harden training/evaluation workflows, build packaging/deployment tooling, design release gates, optimize inference and serving for latency/throughput, establish benchmarking and validation, and instrument feedback from production to accelerate research iteration.

Respond to and qualify high-volume inbound leads, prioritize and nurture prospects, hand off qualified opportunities to Account Executives, partner with Marketing/Sales Ops/Sales Engineers, identify speech-recognition use cases, articulate Deepgram's value proposition, and help build a pipeline to meet quarterly sales targets.

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.