Join Google and make a global impact by shaping products used by millions. As a Product Manager, you'll bridge technical and business needs, transforming complex challenges into actionable product development steps. Our collaborative environment fosters innovation, allowing you to work with engineers, designers, and marketers to enhance access to information.

You'll guide products from concept to launch, focusing on analysis, positioning, packaging, promotion, and user-centric tailoring. This role is integral to bringing world-changing products to market through dedicated product management efforts.

We're looking for a technical, AI-savvy Product Manager to lead the strategy, architecture, and execution of our data ingestion platform in Bangalore. You will own the product roadmap for data ingestion tooling, manage the import of public datasets, oversee data processing, ensure data quality, and define the data models and ontologies for our global Data Commons Knowledge Graph. This position offers the opportunity to drive ambitious long-term technical goals, such as a 100x increase in ingestion throughput, alongside precise 6-week execution milestones. You will also foster a highly collaborative team culture in Bangalore, operating with autonomy and ensuring clear communication across time zones with the US.

- Develop a scalable, potentially AI-driven product strategy and roadmap for the end-to-end data ingestion pipeline. - Manage pipeline responsibilities including 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 for representing 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.

Minimum qualifications include a Bachelor's degree or equivalent practical experience. A minimum of 8 years of experience in product management or a related technical role is required. Additionally, 5 years of experience specifically focused on data pipelines, Extract, Transform, and Load (ETL) infrastructure, or backend data systems is essential. Experience in data modeling, schema design, and API-first development is also a prerequisite.

Preferred qualifications include experience with Knowledge Graphs, ontologies, semantic formats like JSON-LD, and entity resolution frameworks. Managing vendor engagements, defining ownership boundaries, and driving partner accountability are valuable. Familiarity with data engineering concepts such as ETL, Data Quality, Observability/Monitoring, DataProc, and various database systems (BigQuery, Graph databases, SQL) is advantageous. The ability to leverage product tools, engage with the technical stack, and function as an Infrastructure Product Manager is important. Exceptional cross-site communication skills are highly desired. Experience with AI/ML platforms, agentic systems, evaluation systems, and agentic loop architectures for automated data extraction, schematization, or validation is also a plus.