[Hiring] Staff Product Manager, Agentic Experiences (Former Engineer) @Deepgram

Role Description

Deepgram is looking for a Staff Product Manager to own our product experience for AI coding agents across its lifecycle:

• Discovery and recommendation
• Integration and onboarding
• Production use
• Verification

You will build the system that keeps improving the agent experience as behavior changes, reporting to the VP of Self-Serve. This role requires a former engineer who is deeply AI-native, capable of prototyping, reading and writing code, and reasoning with engineering at depth.

What You'll Do

• Own the agent's experience of Deepgram across its lifecycle.
• Stand up a system that measures and optimizes every stage of the funnel for agents.
• Own product surfaces specific to the agent experience, including signup, authentication, and verification tooling.
• Set requirements for shared developer platforms and prototype changes in partnership with the team.
• Establish the operating system for your work, focusing on data-driven optimization and experimentation.
• Turn agent traffic into fast feedback loops for product improvement.
• Bring the product's perspective on agents as users, identifying needs and areas for change.

Qualifications

• Excellent product management judgment.
• A former engineer's depth (required).
• Deep AI fluency, proven by shipped work (required).
• Proven ability to stand up a complete system from scratch.
• PLG and developer-product fluency.
• Judgment to distrust a number or a passing test before building on it.
• Clear communication with executives.

Requirements

• Were a senior software engineer or more before moving to product.
• Have built and shipped AI software that goes beyond prompt files and markdown.
• Experience in building systems for business rhythms, reporting, and optimization.
• Understanding of how developers and their agents adopt APIs.
• Ability to lead with decisions and handle pushback effectively.

Benefits

• Opportunity to define practices in a rapidly evolving environment.
• Work in a company at the forefront of the Voice AI economy.
• Be part of a team that values AI-first mindsets and innovation.