Staff Product Manager, Agentic Experiences (Former Engineer)

vibehackers; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Deepgram is seeking a Staff Product Manager to own the end-to-end product experience for AI coding agents—from discovery and integration to production use and verification. The role requires a former senior engineer who prototypes and writes code, with deep experience building AI-native systems for developer- and agent-focused products.

The candidate will report to the VP of Self-Serve and partner with engineering to define product direction, prioritize work, and stay hands-on with prototypes

Qualifications

• Must have prior senior software engineering experience and ability to read/write production code.
• Proven track record shipping AI-native software beyond prompts/markdown (e.g., agents, CLI tools, or model-integrated tools).
• Strong product management judgment with roadmap ownership and cross-functional leadership.
• Ability to design complete systems: instrumentation, reporting, experimentation, and data-driven optimization.
• Experience with developer tools and APIs, IDEs, and related developer experiences.

Responsibilities

• Own the agent experience end-to-end from discovery to verification.
• Define a system to measure and optimize each stage of the agent funnel.
• Own product surfaces for agents: signup/auth, trial keys, programmatic key provisioning, onboarding, and verification tools.
• Set requirements for shared developer platforms and prototype changes with platform teams.
• Build operating rhythms: reporting, optimization, and experimentation platform.
• Turn large-scale agent traffic into rapid feedback for product improvement.
• Advocate for product decisions about agents as users and how models retrieve and integrate.

Skills

Product Management

System Design

Prototyping

Software Engineering

AI Fluency

Experimentation

Data-driven Analytics

Cross-functional Leadership

Communication

API Design

Developer Experience

Decision Making

Metrics & Analytics

Tools

CLI Tools

MCP Server

Evaluation Harness

SDK Ergonomics

Job description

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

• 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.

Skills

Product Management System Design Prototyping Software Engineering AI Fluency Experimentation Data-driven Optimization Cross-functional Leadership Communication Product-Led Growth API Design Metrics & Analytics Developer Experience Decision-making under uncertainty