Staff Product Manager - AI Agent Experience

Bazeta; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Deepgram is seeking a Staff Product Manager with an engineering background to own the agent experience from discovery through verification. You will prototype and work closely with engineering to ship AI-native tooling that scales as agent behavior evolves.

You will build systems to measure funnel stages, refine onboarding, and define requirements for SDKs, docs, and CLI tooling, partnering with platform teams to accelerate adoption and reliability.

Qualifications

• Have a strong engineering foundation and prior senior software experience.
• Demonstrate proven product management judgment and roadmapping能力 (ship outcomes, lead cross-functional work).
• Show deep AI fluency with shipped AI software beyond prompts or docs.

Responsibilities

• Own the agent experience across discovery, onboarding, production use and verification.
• Build and maintain systems to measure and optimize the agent funnel.
• Define product surfaces: signup/authentication, trial-key defaults, provisioning, onboarding, and verification tooling.
• Specify requirements for developer platforms (SDK ergonomics, docs, MCP server, CLI, tools packages) and prototype changes.
• Create an operating system for data-driven optimization and in-house experimentation.
• Translate agent behavior into fast feedback loops to improve the product.
• Advocate for agents as users, understanding needs and failure points.

Skills

Engineering background

Product management

AI fluency

Tools

SDK tooling

CLI

MCP server

Job description

Deepgram is seeking a Staff Product Manager with an engineering background to own the agent experience from discovery through verification. You will prototype and work closely with engineering to ship AI-native tooling that scales as agent behavior evolves.

You will build systems to measure funnel stages, refine onboarding, and define requirements for SDKs, docs, and CLI tooling, partnering with platform teams to accelerate adoption and reliability.