Senior Product Manager

Join Couchbase, the operational data platform for AI, as a Senior Product Manager, AI. In this hands-on role, you will own a defined capability area within the AI portfolio, working closely with engineering, sales, marketing, and the broader AI organization. You will be responsible for product execution, customer engagement, engineering partnership, cross-portfolio collaboration, sales and GTM partnership, external voice, AI-driven PM practice, and raising the bar. You should have technical fluency in modern AI infrastructure, cross-functional trust, customer obsession, AI-driven PM practice, a shipping record, frontier-model experience, engineering credibility, strong written communication, and at least seven years of product management experience.

• Product execution within a defined AI capability area, including end-to-end ownership of capabilities inside the AI portfolio.
• Working backwards from the customer to validate product ideas and make tradeoff decisions based on enterprise needs.
• Collaborating with engineering, sales, and marketing teams to ensure successful product launches and adoption.

• Technical fluency in modern AI infrastructure: vector search, embeddings, RAG, agent frameworks, model serving, context engineering, and emerging interoperability standards. You can hold your own with engineering on architecture
• Cross-functional trust: Sales trusts your roadmap. GTM trusts your enablement. Marketing trusts your narrative. You build durable working relationships outside your own team
• Customer obsession and working-backwards rigor: You start with the customer and work backwards. You write PRFAQs before code. You can tell which feature requests reflect universal ICP needs and which are noise, and you make the call clearly
• AI-driven PM practice: You already use AI in your own PM work — research, PRFAQ drafting, customer synthesis, competitive analysis, roadmap modeling — and you can point to concrete examples
• A shipping record — products and features you have personally taken from PRFAQ to launch to adoption
• Frontier-model experience: Hands-on experience building with frontier AI models — APIs, code-generation tools, MCP, agent frameworks, and modern developer ecosystems. Familiarity with Anthropic's Claude stack is strongly preferred
• Engineering credibility: Engineers want to work with you. You hold your own on architecture, are decisive on scope, and own the why behind every tradeoff
• Strong written communication. Your PRFAQs and PRDs are the artifact the team aligns on, not a chore that follows the work
• Seven or more years in product management, with at least three on a technical platform — database, data infrastructure, developer tools, or AI infrastructure
• If you see a role that excites you, but don’t meet every qualification, we still encourage you to apply
• Studies show underrepresented talent is less likely to apply unless they meet all the criteria. We encourage you to apply if you’re excited about the role and can bring strong contributions to our team
• Public presence — blog posts, conference talks, OSS contributions, or analyst-facing work
• Prior experience mentoring associate or early-career PMs
• 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