deepgram - Engineering Manager, Console Team (Product-Led Growth Strategy)

• Deepgram is looking for an Engineering Manager to help drive our product-led growth strategy. Deepgram is the leader in developer-friendly building blocks for language AI—real-time transcription, voice agents, and audio intelligence at scale. As such, this role directly impacts the customer's first impressions of Deepgram's products and uniquely influences their buying decisions. In this role, you will lead a team of frontend and backend engineers who work on our self-serve products like Console, and Product Playground. By partnering closely with Product, Sales, and Marketing, you will execute on the next-generation vision for our self-service platform. • In the current wave of AI-native development, developer experience is the product. The best infrastructure wins by being the easiest to trust. • Lead a team of multi-disciplined software engineers to build our web applications, agentic tooling integrations (MCP servers, SDK experiences), and account management (authorization, billing, analytics) services • Work closely with the rest of the leadership and product management team on product strategy and roadmap refinement, with a focus on AI-native developer experience • Oversee technical design, task decomposition, and daily standups to ensure the team is executing on schedule • Lead the creation of features and product releases by being closely involved with the product development, design, and review—including AI agent playground environments and LLM-powered developer tooling • Drive the self-serve growth engine: activation funnels, in-product upgrade flows, and PLG experimentation and self serve deployments. • Work with other team leads from across the product organization on cross-functional projects, help identify the critical paths, and resolve dependencies • Hold regular 1-on-1s with direct reports, help them navigate challenges, and coach them for their career development • YOU'LL LOVE THIS ROLE IF YOU • Have experience working in early stage startups—from building and scaling to going through fundraising • Have great communication and leadership skills and the ability to work in a fast-paced environment • Have strong practical experience with software architecture and implementation, plus the ability to engage with an engineering team to help build and scale the existing infrastructure • Think about LLMs, agents, and model APIs as first-class product primitives—not just add-ons • Have familiarity with hybrid cloud models (bare-metal datacenters and cloud service providers) and scaled databases • Have interest in relevant technologies (Rust, LLM APIs, MCP/agent tooling, Elm, Postgres, GPUs, etc.) and a willingness to challenge common assumptions about the future trajectories of technology