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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.

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 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.

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.

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.

Lead Deepgram's demand-generation function end-to-end: set strategy, build an AI-native repeatable demand system, run integrated performance campaigns (paid, web, events, field), partner with Sales and RevOps to convert leads to revenue, hire and grow a high-performing team, and establish attribution and reporting that ties spend to pipeline and revenue.

Take Deepgram's speech models and optimize, compile, and run them on resource-constrained embedded and edge hardware. Work across model compression, runtime performance (C/C++/Rust), RTOS/bare-metal and embedded Linux environments, vendor NPUs/DSPs and inference runtimes, benchmarking, deployment pipelines, OTA updates, and partner with silicon vendors to enable real-time, low-power on-device voice experiences.

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.