Remote Senior Product Manager, AI Agent Platform

BambooHR

Heber (UT)

Remote

USD 140,000 - 210,000

Full time

11 days ago

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Benefits offered by this job

Health insurance
401k match
Paid time off
Vacation bonus
Employee assistance program

Job summary

BambooHR is seeking a Sr. Product Manager to own the Agent Runtime—managing execution, governance, and instrumentation for AI agents across the BambooHR platform.

You will drive the legacy platform's architectural decisions, plan the migration to a new runtime, and shape intake, metering, and ownership processes for internal platform consumers. This role focuses on reliability, cross-team alignment, and scalable AI tooling.

Qualifications

  • 5+ years of product management experience in platform, infrastructure, or developer-facing products.
  • Technical depth in execution systems, workflows, or eventing.
  • Experience as the product owner for internal platform consumers.
  • Proven ability to drive alignment across teams without direct authority.
  • Comfort with AI and agent systems.

Responsibilities

  • Own product direction for the Agent Runtime and governance, with reliability as agent counts grow.
  • Be the product lead on a legacy agent platform architectural decision.
  • Oversee migration plan onto a new runtime, sequenced by consumer impact.
  • Own agent governance as a product: trust framework across agent actions.
  • Define and drive usage instrumentation and metering schema.
  • Run intake and prioritization for teams building agents and publish guidance.
  • Define boundary between platform agents and AI experiences, with stakeholder input.
  • Coordinate how agents are triggered and what subscriptions are required.

Skills

Platform PM
Infra experience
AI/Agent systems
Cross-team alignment
Migration planning

Tools

Temporal

Job description

BambooHR is seeking a Sr. Product Manager to own the Agent Runtime—managing execution, governance, and instrumentation for AI agents across the BambooHR platform.

You will drive the legacy platform's architectural decisions, plan the migration to a new runtime, and shape intake, metering, and ownership processes for internal platform consumers. This role focuses on reliability, cross-team alignment, and scalable AI tooling.

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