Product Manager, AI Foundations Data Engineering

Product Manager, AI Foundations Data Engineering

Share Product Manager, AI Foundations Data Engineering

corporate_fare Google place San Jose, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Product Manager, AI Foundations Data Engineering

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• 5 years of experience in product management or related technical role.

• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).

• Experience managing backend infrastructure and distributed data pipelines.

• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

• Master's degree in a technology or business related field.

• 3 years of experience in a role preparing and delivering technical presentations to senior leadership.

• 2 years of experience in software development or engineering.

• 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.

• 1 year of experience in technical leadership.

• Experience launching developer-facing tools, APIs, or system-level infrastructure frameworks.

About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Autonomous AI agents are fundamentally bounded by the capabilities of the data engines beneath them. As a Product Manager for critical AI Foundations Data engineering infrastructure, you will be in a unique position to own emerging pipeline technologies required to scale Google's AI infrastructure. Based in San Jose, CA, you will provide a vital local presence, co-located with the engineering teams building cutting edge data pipeline technologies, while actively partnering with key AI-First teams and DeepMind researchers to accelerate model speed-to-market.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

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

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

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

Responsibilities

• Own the end-to-end product lifecycle, strategy, and roadmaps for key evolving data engineering technologies.

• Partner with stakeholders across Google and Alphabet to drive innovative solutions and grow products for emerging use cases.

• Collaborate with engineering teams to build frameworks and solutions that eliminate infrastructure bottlenecks.

• Enable researchers to deploy petabyte-scale feature pipelines to accelerate product velocity.

• Partner with cross-functional product managers across AI Foundations to advance the agentic capabilities of data products.

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.