Staff Product Manager, People Product (HR Partner Products)

Role overview

Lead product direction for internal tools and workflows used by specialized human resources teams, including employee relations and HR business partners. The goal is to help these teams spend more time on high-value work by improving operational cost, quality, and speed while maintaining appropriate human judgment in sensitive employment decisions. The role also contributes to product standards and measures used across the broader People Product team.

Responsibilities

- Work directly with HR specialists and business partners to understand operational challenges and distinguish underlying problems from individual feature requests. - Set a shared product vision and roadmap across partner teams and align senior stakeholders around priorities. - Collaborate with engineering and design to prototype, test, and deliver solutions in small increments, regularly sharing work in progress. - Define success measures and baselines before launch, then assess outcomes and adjust or stop initiatives based on results. - Decide where automation and AI can help while keeping people involved in decisions about pay, discipline, leave, or employment status. - Work with legal, privacy, and worker representative groups across countries, and contribute to product practices used by other product managers.

Requirements

- At least seven years of product management experience, including end-to-end ownership of internal tools, HR technology, case management, support, or workflow automation. - Understanding of sensitive operational work such as employee relations, HR operations, investigations, legal, compliance, or support casework. - Ability to turn requests into defined problems and measure product outcomes against established baselines. - Experience setting direction with senior partners without formal authority and explaining prioritization decisions clearly. - Strong partnership with engineering teams to scope and ship work incrementally. - Practical interest in AI and emerging technology, with sound judgment about where automation serves the problem and where human review is needed.