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Senior Product Manager, Search, Indexing and Query
Couchbase | Product Organisation | Bangalore, India | Reports to VP of AI Product Management
Couchbase is building the operational data platform for AI. Search, indexing and query are the core of it — how data is found, filtered, ranked and returned is what determines whether an application, or an agent, can actually use the data underneath. We are hiring a Senior Product Manager to own that surface area across Capella and Couchbase Enterprise: the SQL++ query experience, secondary indexing, full-text search, and vector and hybrid search.
This is a hands-on individual contributor role for someone who wants to do the work at the Senior level — write the PRFAQ, sit with the customer, push the tradeoff, ship the capability, and own the outcome after launch. Reporting to the VP of AI Product Management, you will partner closely with the query, indexing and search engineering teams, with sales and GTM, and with the broader AI organization.
You do not need to have shipped a query engine or a search product before. We are hiring for the underlying capability, not the resume line — see “Who This Role Is Open To” below.
Search, indexing and query as a product surface: End-to-end ownership of how customers express and satisfy a query on Couchbase — SQL++ query, global secondary indexes, full-text search, and vector and hybrid search. The roadmap in your area, the PRFAQs and PRDs, the launch, the adoption, and the iteration after launch.
Retrieval for AI applications: Make Couchbase the retrieval layer that RAG applications and agents actually use — hybrid search relevance, metadata filtering, recall and freshness, and cost per query. Work with the wider AI portfolio so retrieval composes with the rest of the platform rather than sitting beside it.
Developer experience for query and indexing: How a developer writes a query, gets an index recommendation, debugs a slow plan, and understands what a query costs. Reduce the number of things a developer has to know before their first query is fast.
Performance, cost and benchmark credibility: Own the performance story for your area. Reproducible benchmarks the field can stand behind, a defensible cost and TCO narrative against MongoDB, Elastic, Postgres and pgvector, and dedicated vector stores, and a clear point of view on where Couchbase wins and where it does not.
Working backwards from the customer: Start with the customer and work backwards. Write the PRFAQ before any code is written. Validate with real, named enterprise custom
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