Senior Product Manager, Search Personalization Quality

Google LLC
  • Mountain View, CA
    4 days ago

    Job Description

    Senior Product Manager, Search Personalization Quality

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    corporate_fareGoogleplaceMountain View, CA, USA; New York, NY, USA

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

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    XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

    Minimum qualifications:

    • Bachelors degree or equivalent practical experience.
    • 8 years of experience in product management or a 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).
    • Experience in AI/ML, Large Language Models (LLMs), recommendation systems, or search quality.

    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.
    • Experience analyzing evaluation data and query logs to synthesize quality trends into product insights.
    • Experience shipping products in rapidly evolving technical domains.
    • Familiarity with model evaluation techniques, autoraters, or offline/online experimentation.

    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.

    In Google Search, were reimagining what it means to search for information, any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, youll have an opportunity to make an impact on billions of people globally.

    In this role, you will drive Personalization Quality across Search AI. You will sit at the intersection of state-of-the-art AI models, user understanding, and consumer experience, addressing the nuanced algorithmic trade-offs needed to make AI responses feel naturally tailored, accurate, and trustworthy.In Google Search, were reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, youll have an opportunity to make an impact on billions of people globally.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

    • Define the multi-quarter product strategy and roadmap for Personalization Quality across Search AI surfaces.
    • Establish key quality metrics, design rigorous experiments, and develop evaluation methodologies to guide data-driven modeling and product decisions.
    • Conduct analysis of model responses, live experiments, and user feedback to identify quality patterns and translate them into concrete product requirements.
    • Partner with Engineering and Research to guide model improvements, prompting strategies, and orchestration logic that elevate response relevance and helpfulness.
    • Drive alignment and execution across Engineering, Research, UX, and cross-functional partners while ensuring user trust, transparency, and privacy are upheld across all features.

    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.

    Numbers & Facts

    LocationMountain View, CA

    Skills

    • Algorithmsunmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Concreteunmatched
    • Cross-Functionalunmatched
    • Customer Experienceunmatched
    • Customer/Client Researchunmatched
    • Data Analysisunmatched
    • Data Modelingunmatched
    • Develop Methodologiesunmatched
    • English Languageunmatched
    • Equal Employment Opportunity (EEO)unmatched
    • Experiment Designunmatched
    • Financeunmatched
    • Geneticsunmatched
    • Google Search Engineunmatched
    • Modeling Languagesunmatched
    • Product Developmentunmatched
    • Product Documentationunmatched
    • Product Managementunmatched
    • Product Planningunmatched
    • Product Shipmentsunmatched
    • Product Strategyunmatched
    • Quality Metricsunmatched
    • Query Analysisunmatched
    • Recruiting/Staffing Agencyunmatched
    • Regulatory Requirementsunmatched
    • Salesunmatched
    • Stock Purchase Plansunmatched
    • Team Playerunmatched
    • User Interface/Experience (UI/UX)unmatched

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