Senior Product Manager, Data Catalog & AI Readiness

BambooHR

Utah

Hybride

USD 120 000 - 160 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Health insurance
Life insurance
Disability insurance
Paid time off
Company holidays
Parental leave
Volunteer time off

Résumé du poste

BambooHR is seeking a Sr. Product Manager to own the discovery layer for platform data and the AI-ready catalog that supports AI agents. You will ensure the data is findable, documented, quality-scored, and safe for consumption by AI.

In this role, you will lead onboarding, define standards, and drive readiness across domains while collaborating with legal, security, and data model owners to maintain a trusted data foundation for BambooHR’s AI initiatives.

Qualifications

  • 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; ability to read a schema and assess readiness.
  • Ability to run multi-team migrations with a scoreboard, dates, and named owners.
  • Proven ability to drive alignment across teams without direct authority.

Responsabilités

  • Own the data catalog as a product: onboarding, metadata standards, data quality signals, and search/discovery for internal builders and AI agents.
  • Run the AI-ready domain program, including assessment bar, migration sequence, and dated plan to reach AI-ready state.
  • Sequence catalog population by consumption demand so domains needed first get onboarded first.
  • Partner with canonical data model owner to ensure catalog entries conform; avoid parallel definitions.
  • Own readiness measurement and publish per-domain readiness status for leadership actions.
  • Own context and signals surfaces that agents use as they scale from proof-of-concept to platform capabilities.
  • Work with legal and security on data classification, consent boundaries, and AI agent consumption requirements.

Connaissances

Product management
Data platforms
Data infrastructure
Developer tools
Cross-functional collaboration
Read schemas

Outils

Data catalogs
Governance tooling
Master data management
Graph querying

Description du poste

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.

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.
  • Comprehensive health, life, and disability insurance
  • Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life

At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective.

We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office.

What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you.

BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process. If you would like to request accommodations, please let your recruiter know.

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

Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in BambooHR’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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