Staff Product Manager, Agentic Experiences (Former Engineer)
Explicitly AI-native and hands-on: you prototype and write code for agent-focused tooling and must have shipped agent/AI integrations.
About the Role
Deepgram is hiring a Staff Product Manager to own the end-to-end product experience for AI coding agents — from discovery and integration to production and verification. The role requires a former senior engineer who still prototypes and writes code, and who has deep, demonstrable experience building AI-native systems for developer- and agent-focused products.
Job Description
Role
Deepgram seeks a Staff Product Manager to own the product experience for AI agents across their entire lifecycle: discovery, integration/onboarding, production use, and verification. You will report to the VP of Self-Serve and be responsible for defining the product direction, prioritizing work, and partnering closely with engineering while remaining hands-on with prototypes and code.
Key Responsibilities
- Own the agent experience end-to-end: discovery and recommendation, integration and onboarding, production usage, and verification tooling.
- Define and stand up a system to measure and optimize every stage of the agent funnel and keep it current as agent behavior evolves.
- Own product surfaces for agents: signup/authentication, trial-key/token defaults, programmatic key provisioning, console onboarding, and verification tools for confirming integrations.
- Set requirements for shared developer platforms (SDK ergonomics, agent-readable docs and llms.txt, MCP server, CLI, skills package, starter templates) and prototype changes in partnership with platform teams.
- Build or deploy the operating system for your work: business rhythms, reporting, optimization, and an experimentation platform.
- Turn large-scale agent traffic into rapid feedback loops to continuously improve the product.
- Advocate for product decisions about agents as users, grounded in how models retrieve, choose, and integrate.
Requirements
- Prior experience as a senior software engineer (required); ability to read and write production code and reason at engineering depth.
- Proven track record shipping AI-native software beyond prompts/markdown — examples include agents, MCP servers, CLI tools, agent/evaluation harnesses, or model-integrated tools (public work requested, e.g., GitHub links).
- Strong product management judgment: own roadmap, set direction, ship outcomes, and lead cross-functional work without formal authority.
- Ability to design and stand up complete systems: instrumentation, reporting, experimentation, and data-driven optimization.
- Deep familiarity with developer- and product-led growth for APIs and developer tools.
- Clear, executive-level communication and decision-making under uncertainty.
Nice to Have
- Direct experience building for AI agents (MCP servers, agent harnesses, CLI tools, agent-readable docs, tool definitions, evals).
- Experience with voice, audio, or real-time streaming systems.
- Open-source contributions with adoption.
- Experience at companies with both self-serve and enterprise motions.
Working Style & Culture
- Deepgram expects an AI-first mindset: active use and experimentation with advanced AI tools is core to how teams operate and measure performance.
- The role is fast-moving and requires comfort with rapid change, experimentation, and frequent iteration.