Deepgram - Staff Product Manager, Agentic Experiences (Former Engineer)

• Own the agent's experience of Deepgram across its lifecycle — discovery and recommendation, integration and onboarding, production use, and verification. • Stand up a system that measures and optimizes every stage of the funnel for agents, and keep it current as agent behavior changes. • Own the product surfaces specific to the agent experience: signup and authentication, the trial-key and token defaults and programmatic key provisioning, console onboarding, and the verification tooling that lets an agent confirm its integration is actually correct. • Set the requirements for what the agent experience needs from the shared developer platforms — SDK ergonomics, the agent-readable documentation and llms.txt, the MCP server, the CLI, the skills package, and starter templates — and prototype the changes directly, in partnership with the team that owns those platforms. • Stand up the operating system your work runs on — the rhythms of business, data-driven optimization, and the experimentation platform — by building it in-house or by researching and deploying the best tools available. • Turn the scale of agent traffic into fast feedback loops, so the product improves as agents use it. • Bring the product's point of view on agents as users: what they need, where they fail, and what to change, grounded in how models actually retrieve, choose, and integrate. • You'll Love This Role If You • Were an engineer, moved to product to own outcomes, and never stopped building. • Think like an architect and can design and stand up a self-optimizing system across discovery, onboarding, and integration. • Have felt, first-hand, how an AI agent succeeds or fails at a real integration, and have strong opinions about why. • Want to own a product that is becoming the front door of the business, at the moment it is becoming that. • Are energized by being early — defining the practice, not inheriting it.