Google

Runs Search and YouTube and builds Gemini AI

Group Product Manager - PDLC Tooling, Work AI

Product ManagementConfirmed live in the last 24 hours

Full-time

About the Job

Requirements

A bachelor's degree in Computer Science or equivalent practical experience.
10 years of product management experience at a technology company, including driving zero-to-one products from concept to adoption.
3 years of people-management experience leading product managers and cross-functional teams.
Experience building products for designers, product managers, researchers, or other creative professionals, such as design tools, prototyping, research, or collaboration platforms.
Experience shipping products powered by large language models or AI agents.

Responsibilities

Set the goal, strategy, and roadmap for PDLC Tooling.
Build and lead a team of product managers while personally owning zero-to-one initiatives.
Scale production-grounded prototyping so teams can explore high-fidelity variants on real design systems and data, and carry winning designs into production code.
Bring agents into product management and user experience research workflows, including evidence-backed briefs and living plans, 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 DeepMind 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 Google builds in the agentic era.
Direct product for PDLC Tooling, the agentic tools Google's designers, product managers, and user experience researchers use to decide what to build and how it should work.
Scale the existing work across Google, unite partner efforts across Core, Search, and DeepMind into one coherent experience, and extend it to every user experience, product management, and research workflow.

Desired 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 experience prototyping with AI tools.
Ability to align stakeholders across organizations, influence without authority, and communicate complex ideas to senior leadership.

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 DeepMind 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 Google builds in the agentic era.

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.

AI has changed how software gets written at Google. 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 Google'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 Google, unite partner efforts across Core, Search, and DeepMind 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 Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; New York, NY, USA; San Francisco, CA, USA.

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.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

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