Overview
Senior Product Manager, AI at Couchbase, owning a defined capability area within the AI portfolio across Capella and Couchbase Enterprise. Hands-on individual contributor role reporting to the VP of AI Product Management.
What you'll do
- Own end-to-end product execution for one or more capabilities in the AI portfolio: roadmap, PRDs, launch, adoption, and post-launch iteration.
- Contribute to strategy for the wider portfolio area alongside the Principal PM and VP of AI Product Management.
- Work backwards from the customer: write PRDs before code, validate with named enterprise customers, and make clear tradeoff calls based on enterprise ICP needs.
- Partner closely with engineering, be technically credible, decisive on scope, and keep the PRD as a living document through launch.
- Run design partner programs for owned capabilities and bring customer voice into roadmap decisions.
- Build a pipeline of named reference customers willing to speak publicly about what they have shipped.
- Coordinate across Core Database, Capella, Analytics, Mobile and Edge, and the AI Specialist team so capabilities compose cleanly; bring a build-vs-partner point of view.
- Equip sales, sales engineering, PMM, and partner GTM with positioning, demos, competitive context, and customer proof points; act as product owner in technically deep deals.
- Serve as product owner in customer briefings, webinars, blog posts, documentation, enablement content, and analyst engagements (Gartner, Forrester, IDC).
- Use AI deeply in your own PM work and contribute to the team's AI-driven PM and AI-DLC practices.
- Share what works: contribute to PRD standards, interview loops, and onboarding, and mentor associate and early-career PMs as the team grows.
What you'll need
- Seven or more years in product management, with at least three on a technical platform (database, data infrastructure, developer tools, or AI infrastructure).
- Technical fluency in modern AI infrastructure: vector search, embeddings, RAG, agent frameworks, model serving, context engineering, and emerging interoperability standards.
- Customer obsession and working-backwards rigor: writes PRDs before code and can distinguish universal ICP needs from noise.
- Engineering credibility: holds own on architecture, decisive on scope, owns the why behind tradeoffs.
- Cross-functional trust with sales, GTM, and marketing.
- Uses AI in own PM work (research, PRD drafting, customer synthesis, competitive analysis, roadmap modeling) and can give concrete examples.
- Hands-on experience building with frontier AI models: APIs, code-generation tools, MCP, agent frameworks, and modern developer ecosystems.
- Strong written communication.
- Shipping record of products and features taken personally from PRD to launch to adoption.
Nice to have
- Familiarity with Anthropic's Claude stack is strongly preferred.
- Experience at a database, data platform, or AI infrastructure company (MongoDB, Snowflake, Databricks, Elastic, Confluent, Redis, Pinecone, AWS, GCP, Azure, or comparable).
- Direct experience building or shipping vector search, agent memory, RAG pipelines, model serving, or related AI infrastructure capabilities.
- Public presence: blog posts, conference talks, OSS contributions, or analyst-facing work.
- Prior experience mentoring associate or early-career PMs.
Details
- Location: Bangalore, India; works primarily from the Bangalore office with flexibility for hybrid work.
- Virtual-first by design; limited travel for key customer engagements, major industry conferences, and periodic visits to Couchbase HQ in Santa Clara.
- Reports to the VP of AI Product Management.
Read the full description and apply on the company’s own careers page.