Group Product Manager, PDLC Tooling, Work AI

Group Product Manager, PDLC Tooling, Work AI

Share Group Product Manager, PDLC Tooling, Work AI

corporate_fare Google place San Jose, CA, USA; New York, NY, USA; +2 more; +1 more

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Share Group Product Manager, PDLC Tooling, Work AI

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XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.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 .

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 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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

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.

• Bringagents into PM and UX research workflows, from evidence-backed briefs and living plans to synthetic users, AI-moderated research, and scaled experiments.

• Opena 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.