Senior Product Manager, Data Commons Infrastructure Share Senior Product Manager, Data Commons Infrastructure _corporate_fare_ Google _place_ Bengaluru, Karnataka, India **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. Share Senior Product Manager, Data Commons Infrastructure **Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 8 years of experience in product management or a related technical role. + 5 years of experience with direct focus on data pipelines, Extract, Transform, and Load (ETL) infrastructure, or backend data systems. + Experience in data modeling, schema design, and API-first development. **Preferred qualifications:** + Experience with Knowledge Graphs, ontologies, ontologies for statistics, semantic formats (JSON-LD), and entity resolution frameworks. + Experience managing vendor engagements, defining clear boundaries of ownership, and driving partner accountability. + Experience in data engineering concepts: ETL, Data Quality, Observability/Monitoring, DataProc, and database systems (BigQuery, Graph databases, SQL). + Ability to leverage product tools, engage with the technical stack, and operate as an Infrastructure Product Manager (PM). + Exceptional cross-site communication skills. + Familiarity with AI/ML platforms, agentic systems, evaluation systems (and associated stats), and agentic loop architectures for automated data extraction, schematization, or validation. **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. We are seeking a technical, AI savvy Product Manager to own strategy,



architecture and execution of our data ingestion platform in Bangalore, India. This role centers on our core data import flow and processing pipeline, which powers the global Data Commons Knowledge Graph. You will define the product roadmap for data ingestion tooling, manage the end-to-end import of the public datasets, oversee data processing, be responsible for data quality and shape the data models & ontologies that structure our graph. You will support our team, you will bridge ambitious long-term technical direction (e.g. scaling ingestion throughput 100x) with crisp 6-week execution milestones. You will build and foster a cohesive, highly collaborative team culture in Bangalore, operating with high autonomy, driving consensus, over-communicating across time zones with the US. **Responsibilities** + Develop a scalable, potentially AI driven product strategy and roadmap for the end-to-end data ingestion pipeline. Take pipeline responsibilities which include sourcing, landing, schematizing, processing, entity resolution, and storing data in our knowledge graph. + Balance ambitious, long-term platform scaling goals (100x ingestion scaling) with pragmatic, near-term execution and transparent 6-week deliverables. + Influence and design essential schema models and ontologies ("semi-ontologist") required to represent complex public datasets cleanly across knowledge graph and relational schemas. + Own product requirements for ingestion tools, schema mapping UIs, automated processors, Extract Transform Load (ETL) pipelines, Data Quality, Observability, and Monitoring. + Oversee vendor partnerships with precision, clearly demarcating internal core ownership vs. vendor-managed pipeline tasks, establishing clear accountability, and optimizing incentive alignment. 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.

📌 Senior Product Manager, Data Commons Infrastructure (Bengaluru)
🏢 Google
📍 Bengaluru