Senior Product Manager, Data Commons Infrastructure

Google·Bengaluru·Onsite

Senior Product Manager

Experience

8+ years

Employment

Full Time

Work mode

Onsite

Level

Senior Product Manager

Location

Bengaluru

Posted

3 days ago

What you'll do

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 clear 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.
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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

What you'll bring

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.

Nice to have

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.