Sr Product Manager

Couchbase is building the operational data platform for AI. We are hiring a Senior Product Manager, AI to own a defined capability area within the AI portfolio across Capella and Couchbase Enterprise. Reporting to the VP of AI Product Management, this Senior PM partners closely with engineering, sales and GTM, marketing, and the broader AI organization to ship capabilities that solve real problems for our enterprise ICP. 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 — at the center of one of the most consequential shifts in enterprise data infrastructure. The role is fully remote within the United States, working alongside a distributed product and engineering organization.

Responsibilities

Product execution within a defined AI capability area: end-to-end ownership of capabilities inside the AI portfolio, including roadmap, PRFAQs/PRDs, launch, adoption, and iteration after launch; Working backwards from the customer: write PRFAQs before code, validate with named enterprise customers, and make clear tradeoff calls based on enterprise ICP needs; Engineering partnership: work with engineering, own PRD as a living document, and hold the bar on quality, scope, and timing through to launch; Customer and design partner engagement: support and run design partner programs, bring real customer voice into roadmap decisions, and build a pipeline of named reference customers; Cross-portfolio collaboration: coordinate across the broader product organization and bring a build-vs-partner point of view; Sales and GTM partnership: equip sales, sales engineering, PMM, and partner GTM with positioning, demos, competitive context, and customer proof points; External voice: contribute to customer briefings, webinars, blog posts, documentation, and enablement content; AI-driven PM practice: use AI deeply in product management work and adopt AI-driven PM and AI-DLC practices; Raising the bar: contribute to PRFAQ/PRD standards, interview loops, onboarding, and mentor associate and early-career PMs

Requirements

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. You can hold your own with engineering on architecture; 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; 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; Cross-functional trust: Sales trusts your roadmap. GTM trusts your enablement. Marketing trusts your narrative. You build durable working relationships outside your own team; 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; 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; Strong written communication. Your PRFAQs and PRDs are the artifact the team aligns on, not a chore that follows the work; A shipping record — products and features you have personally taken from PRFAQ to launch to adoption

Nice to have

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

Benefits

Generous Time Off Program; Flexibility to care for you and your family; Wellness Benefits - a variety of world class medical plans, dental, vision, life insurance, and employee assistance programs; Financial Planning - retirement program and business travel insurance; Career Growth - Be valued, Create value approach; Fun Perks - ergonomic and comfortable in-office/WFH setup, food and snacks for in-office employees