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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.

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.

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.

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.

Own the voice agent go-to-market: define category narrative, drive developer adoption to enterprise deployment, lead product launches, craft positioning and battlecards, enable sales with collateral and proof points, collaborate on market and competitive intelligence, produce developer-facing content, and build repeatable AI-assisted PMM workflows.

Own end-to-end renewal negotiations for strategic, high-value consumption-based accounts. Forecast usage-driven renewals, build pricing and packaging, defend value with data, identify expansion opportunities, and quarterback cross-functional deal strategy to prevent churn and capture growth.

Lead solutions marketing for voice AI use cases and verticals: craft narratives, decks, demos, battlecards, proof points, and web copy; enable sales and demand gen; measure pipeline impact and build AI-powered content production systems.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

Analyze and characterize conversational audio data, identify underrepresented areas, and build active-learning and human-in-the-loop workflows. Develop representative benchmarks, automate model adaptation, and create reusable data analysis and scoring systems. Partner with research, engineering, and data teams to run experiments, improve models, organize data, and translate complex findings into measurable product improvements.

Research Staff will develop foundational voice AI technologies, including low-bitrate neural audio codecs, steerable speech generation, disentangled audio representations, latent recombination, synthetic audio data generation, and multimodal speech-to-speech models. The role also involves designing scalable architectures, training methods, and inference algorithms optimized for hardware, billion-hour datasets, and real-time deployment. Candidates need strong mathematical foundations, foundation-model expertise, large-scale data pipeline experience, rigorous experimentation skills, deployment optimization knowledge, and publications or open-source contributions in speech or language AI.