Senior Product Manager, Data Catalog & AI Readiness

At BambooHR, 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.

Responsibilities

Own the data catalog as a product: domain onboarding, metadata and documentation standards, data quality signals, and a search and discovery experience for internal builders and AI agents; Run the AI-ready domain program, including the assessment bar, the migration sequence, and the dated plan; Sequence catalog population by consumption demand; Partner with the owner of the canonical data model so catalog entries conform to its entity definitions; Own readiness measurement and publish per-domain readiness status that leadership can act on; Own the context and signal surfaces that agents draw on, including standards for which signals agents may use; Work with legal and security counterparts on data classification, consent boundaries, and AI agent consumption requirements

Requirements

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; Program instincts: comfortable running a multi-team migration with a scoreboard, dates, and named owners; Proven ability to drive alignment across teams without direct authority; Able to drive readiness work in domain teams that own the roadmap but not the outcome; Holds the quality bar when pressure is to mark domains "ready" faster; Able to build for two consumers at once: human builders and AI agents; Able to explain a readiness decision clearly to both technical and non-technical audiences; Self-directed and entrepreneurial

Nice to have

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

Benefits

Great company culture recognized by multiple organizations such as Inc and Salt Lake Tribune; Comprehensive health, life, and disability insurance; Generous leave policies including 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off; 401k plans with up to 6% company match; $2000 Paid-Paid Vacation bonus; EAP through Headspace