Senior Product Manager, Payroll Platform

BambooHR; Provo (UT); Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health Insurance

Vacation & Holidays

Employee Assistance Program

Flexible work options

Job summary

BambooHR is seeking a Product Manager to own the payroll platform modernization, ensuring safe migrations and alignment with platform contracts.

You will collaborate with payroll engineering, security, and governance to govern access, auditing, and retention while balancing legacy and replacement systems and cost.

The role is remote in Utah and requires comfort with regulated data, payments, and data modeling to shape how payroll data moves across BambooHR's platform.

Qualifications

• Experience owning payroll data model and migrations.
• Ability to sequence platform modernization without payroll disruption.
• Comfort discussing databases, APIs, and migration with engineers.

Responsibilities

• Own payroll platform modernization and data-model redesign.
• Coordinate with payroll engineering leadership on data contracts.
• Ensure audit and permission discipline on payroll systems.

Skills

Payroll systems

Data modeling

Event-driven architectures

Security & compliance

Tools

APIs

SQL

Platform services

Job description

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.

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.

Product Manager to own the systems payroll runs on: data sync, calculation, payment operations tools, and the data model underneath them. You'll make sure payroll builds on BambooHR's shared platform services: canonical data entities, a permission service, an event bus, and an observability stack. You hold payroll to the contracts those services publish.

On a typical day you might sequence a migration step so no client's payday is ever the test case, agree on the direction of the payroll data model with payroll engineering leadership, or work out what it costs to keep an old system alive one more quarter. A new platform is still maturing while the old system carries production load.

Own payroll platform modernization: decide what moves from old operational tools to their replacement, and when, and sequence each step so payroll is never at risk.

Price the cost of keeping old systems running, including support escalations, manual fixes, and the risk of a missed pay date.

Own the product half of the payroll data-model redesign, weighing event-driven streaming against the current full-resync approach, jointly with payroll engineering leadership. Own access and audit discipline on payroll systems: permission granularity, audit posture, least-privilege carve-outs, deny-by-default rollouts, and feature-flag discipline. Coordinate with the security organization and build on the platform's existing ways of recording who did what.

Own compliance and retention for payroll: data retention positions, regulatory changes that affect payroll systems, and the audit interface with governance, risk, and compliance, documented as decisions rather than tribal knowledge.

Test long-held assumptions about what payroll systems can and cannot do, publish the real limits and latency curves, and write them up so leadership can act on them.

Run a payroll roadmap review cadence: a quarterly plan with dates, a weekly written status for leadership, and coordination with payroll services on operational readiness.

Deliver a dated plan for retiring the old systems with the cost of keeping each one priced, and retire at least one without a payroll incident.

Land the payroll data-model direction as a written decision agreed with engineering.

Make payroll's permission and audit setup the reference example other internal tools copy.

Complete canonical-model validation for each payroll domain so payroll builds against platform contracts by default.

HCM, payroll, or payroll-adjacent platform experience is strongly preferred.

Rollout discipline is a reflex for you: parallel runs, instant rollback, user acceptance testing, and release trains.

You're technical enough to discuss database schemas, APIs, and migration mechanics with engineers as a peer.

You're comfortable in regulated, sensitive-data domains and treat compliance counterparts as partners.

You flag risks before deadlines.

Experience stewarding a legacy enterprise platform through a successor migration.

Payments, money-movement, or banking-file operational experience.

Familiarity with event-driven data architectures that replace batch and resync patterns.

• 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
• 2000 Paid-Paid Vacation bonus
• EAP through Headspace

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.

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.

Our process utilizes AI as an assistant to efficiently process and analyze candidate data.