Group Product Manager, PDLC Tooling, Work AI

Minimum qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• 10 years of product management experience at a technology company, including experience driving zero-to-one products from concept to adoption.
• 3 years of experience in people management, leading product managers and cross-functional teams.
• Experience building products for designers, product managers, researchers, or other creative professionals (e.g., design tools, prototyping, research, or collaboration platforms).
• Experience shipping products powered by Large Language Models (LLMs) or AI agents.

Preferred qualifications

• Experience shipping agentic products with measurable quality, including defining evaluations and metrics and improving against them.
• Experience building platforms and extensibility models, such as plugins, APIs, and design-system integrations.
• Experience driving adoption and behavior change across large, user communities, including non-engineers.
• Understanding of the product development lifecycle and empathy for design and research craft, with strong product and design taste.
• Technical acumen to collaborate with engineers and researchers, and prototyping with AI tools.
• Ability to align stakeholders across organizations, influence without authority, and complex ideas to senior leadership.

About the job

AI has changed how software gets written at [REDACTED]. Coding is much faster, so the rest of the product development lifecycle (PDLC) is now the bottleneck. When building is cheap, the most expensive mistake is building the wrong thing, yet deciding what to build still runs at human speed on tools built for a pre-agentic world. Work AI, part of Dev AI, exists to change that.

You will direct product for PDLC Tooling, the agentic tools [REDACTED]'s designers, Product Managers (PMs), and User Experience (UX) researchers use to decide what to build and how it should work. Unlike engineers, they lack a single source of truth and a mature toolchain. Evidence is scattered, static mocks hide real behavior, alternatives are costly to explore, and design intent is lost. Our goal is to make it cheap, so what ships are the best of many options, not the first one that worked.

This role builds on early momentum: our internal tools let teams design and prototype directly on production code, and collaborative canvases provide high-fidelity prototyping and feedback. Your mandate is to scale this work across [REDACTED], unite partner efforts across Core, Search, and [REDACTED] into one coherent experience, and extend it to every UX, PM, and research workflow.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at [REDACTED].

You will direct product for PDLC Tooling, the agentic tools [REDACTED]'s designers, Product Managers (PMs), and User Experience (UX) researchers use to decide what to build and how it should work. Unlike engineers, they lack a single source of truth and a mature toolchain. Evidence is scattered, static mocks hide real behavior, alternatives are costly to explore, and design intent is lost. Our goal is to make it cheap, so what ships are the best of many options, not the first one that worked.

This role builds on early momentum: our internal tools let teams design and prototype directly on production code, and collaborative canvases provide high-fidelity prototyping and feedback. Your mandate is to scale this work across [REDACTED], unite partner efforts across Core, Search, and [REDACTED] into one coherent experience, and extend it to every UX, PM, and research workflow.

Responsibilities

• Set the goal, strategy, and roadmap for PDLC Tooling. Build and lead a team of PMs while personally owning the zero-to-one initiatives.
• Scale production-grounded prototyping so teams explore high-fidelity variants on real design systems and data, and carry the winning design into production code.
• Bring agents into PM and UX research workflows, from evidence-backed briefs and living plans to synthetic users, AI-moderated research, and scaled experiments.
• Open a guardrailed path for non-engineers to ship well-scoped changes to production, and partner with [REDACTED] on design evaluations so internal usage improves Gemini.
• Engage lighthouse teams to iterate quickly, own north-star metrics such as time from intent to validated prototype, and lead the narrative for how [REDACTED] builds in the agentic era.