Staff Product Manager, Agentic Experiences (Former Engineer)
Deepgram · Remote · USA - Remote ·
COMPENSATION
$215k – $268k
Listed on the employer's job board (Ashby)
- Staff Product Manager
- Former Engineer Required
- Fully Remote
- AI-Native Focus
- Voice AI Platform
You will define how AI agents discover, choose, and integrate Deepgram’s speech-to-text and text-to-speech APIs. Reporting to the VP of Self-Serve, you will build systems that measure and optimize the agent lifecycle, from initial contact to production use. This role demands a product leader who codes, prototypes solutions, and reasons deeply with engineering teams.
What you'll do
- Own the agent experience across discovery, integration, production use, and verification
- Build systems to measure and optimize the funnel for AI agent interactions
- Manage product surfaces like signup, key provisioning, and console onboarding for agents
- Define requirements for SDKs, documentation, MCP servers, and CLI tools
- Prototype changes directly and partner with platform teams on implementation
- Establish data-driven optimization rhythms and experimentation platforms
- Translate agent traffic patterns into rapid product feedback loops
What you'll need
- Previous experience as a senior software engineer or higher before moving to product
- Ability to read, write, and reason about code at an engineering level
- Proven track record of shipping AI software beyond simple prompts or markdown
- Public GitHub portfolio demonstrating agents, MCP servers, or eval harnesses
- Strong product judgment and ability to lead cross-functional work without authority
- Experience building self-optimizing systems for discovery and onboarding
- Fluency in product-led growth and developer API adoption strategies
Nice to have
- Experience building specifically for AI agents as consumers
- Background in voice, audio, or real-time streaming systems
- Track record of open-source work with significant adoption
- Experience in companies with both self-serve and enterprise sales motions
Stack
- MCP servers
- CLI tools
- SDKs
- Voice AI APIs
- Speech-to-Text
- Text-to-Speech
How you'll work
- Fully remote position
- AI-first mindset required for daily operations
- Fast-paced environment with rapid technological change
- Expectation to actively use and experiment with advanced AI tools