Google and Agentic Data Product Lead

Google and Agentic Data Product Lead

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

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Minimum qualifications:

• Bachelors degree or equivalent practical experience.

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

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

• 3 years of people management experience with direct reports, and in technical leadership.

Preferred qualifications:

• Masters degree in a technology or business related field.

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

• 5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).

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

• 3 years of experience in software development or engineering.

• Knowledge of, or continued interest in building accessibility best practices, and experience/curiosity for incorporating accessibility into product development methodologies.

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 worlds information. Were responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Our teams mission is to build and unlock ways to apply Google data in a scaled, privacy-safe way to support initiatives across Google Ads, including measurement, targeting, serving, and personalization. This includes existing Google products, and new agentic products, some of which we are building ourselves. This is an opportunity to join a team with impact across a broad array of Google products and help define the next generation of digital marketing and measurement technology.

This role involves close collaboration with a number of cross-products and Google Ads teams. In this role, your mission is to ideate, develop, and implement the acquisition and application of data from agentic interactions on Google first-party and third-party platforms to power the next generation of Google's ads systems.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

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

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Be a thought leader in how users interact with agents, where data is generated, and how to acquire and apply this data to solve complex issues and capture upside across Ads.
• Leverage new and existing types of privacy-preserving techniques and defining the goal for how data is unlocked and applied, given ecosystem, regulatory, and industry changes.
• Ideate and apply advanced ML/modeling techniques to deliver measurement breadth and accuracy for advertisers in a data-constrained environment.
• Consider and navigating complex relationships between users, businesses, and Google.
• Collaborate with partner teams, (e.g., Google Analytics, Search bidding, YouTube, etc) to apply data and lead a team of Product Managers (PMs) to manage a portfolio of agentic measurement problems.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate 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 also Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.