Senior Product Manager, Data Catalog & AI Readiness

About the role

Please Note: This is a remote position available in the state listed on this job. Additionally, employment with BambooHR is contingent on passing both a background and credit check.

AI at BambooHR

At BambooHR, we're all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We're leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR.

Essential Job Duties

• We're looking for a Sr. Product Manager to own the discovery layer for all of our platform data, and the program that makes every product domain consumable by AI.
• Our canonical data model defines what the data is.
• This role makes it findable, documented, quality-scored, and safe for an AI agent to consume.

Every AI feature we ship gets faster or slower based on how well you do this job. On a typical day you might onboard a domain team to the catalog, review an agent-readiness assessment against the bar the program sets, and decide which domains migrate next based on where AI features are blocked.

You will

• Own the data catalog as a product: domain onboarding, metadata and documentation standards, data quality signals, and a search and discovery experience that works for internal builders and AI agents.
• Run our AI-ready domain program, including the assessment bar, the migration sequence, and the dated plan that takes every product domain to a state AI agents can consume.
• Sequence catalog population by consumption demand, so the domains AI features need first get onboarded first.
• Partner with the owner of our canonical data model so catalog entries conform to its entity definitions instead of inventing parallel ones.
• Own readiness measurement: publish per-domain readiness status that leadership can act on, and hold the line that "assessed" and "ready" are different states.
• Own the context and signal surfaces that agents draw on as they move from proof-of-concept to platform capabilities, including the standards for which signals agents may use.
• Work with legal and security counterparts on data classification, consent boundaries, and what AI agent consumption of each domain requires.

Success in the First 180 Days

• Complete catalog onboarding for the leading domains on our readiness assessment list, with documented quality signals.
• Publish a readiness scoreboard that shows every domain, its state, its blocker, and its date.
• Establish a domain onboarding playbook so domain teams can onboard to the catalog themselves, without needing you.
• Deliver the first dated batch of domain migrations on the path to migrating every product domain.

What You Need to Get the Job Done

• You feel aligned with the BambooHR values.
• 5+ years of product management experience in data platforms, data infrastructure, developer tools, or adjacent technical products.
• Technical depth in metadata, data contracts, or data quality. You can read a schema, challenge a readiness claim, and tell documentation from documentation theater.
• Program instincts: you're comfortable running a multi-team migration with a scoreboard, dates, and named owners.
• Proven ability to drive alignment across teams without direct authority.
• You can drive readiness work in domain teams that own the roadmap you depend on but not the outcome you're accountable for.
• You hold the quality bar when the pressure is always to mark domains "ready" faster.
• You can build for two consumers at once: human builders who need discovery and documentation, and AI agents that need machine-readable contracts and guardrails.
• You can explain a readiness decision clearly and directly to both technical and non-technical audiences.
• Self-directed and entrepreneurial: you identify the next constraint without waiting for direction.

What Will Make Us REALLY Love You

• Experience with data catalogs, governance tooling, or master data management.
• Exposure to AI and large language model (LLM) feature development, and what makes data usable by agents in practice.
• Product experience with graph or relationship-querying capabilities.

BambooHR is An Equal Opportunity Employer--M/F/D/V

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