Senior Product Manager – People Systems
New
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SmartsheetPeople systems
REMOTE, USAFull-TimeManager
SalaryUS Base Salary Pay Range $145,000 — $175,000 USD. In addition, this role will be eligible for a market competitive incentive opportunity.
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Job Details
- Experience
- 7+ years of experience supporting enterprise systems as a Product Manager, Systems Analyst, or similar role
- Required Skills
- Workday
Requirements
- Bachelor's degree in Business, Information Systems, Computer Science, or a related field, or equivalent practical experience.
- 7+ years of experience supporting enterprise systems as a Product Manager, Systems Analyst, or in a similar role.
- Experience working within HRIS or People systems environments.
- Familiarity with Workday, Docebo, Greenhouse, or similar workforce platforms.
- Strong understanding of employee lifecycle processes and People operations workflows.
- Experience working with system integrations and workforce data flows.
- Ability to translate business processes into scalable system capabilities.
- Ability to make prioritization decisions while accounting for operational risk and workforce impact.
- Strong prioritization skills and comfort balancing operational needs with technical constraints.
- Strong analytical, verbal, and written communication skills, with the ability to influence without authority.
- Experience enabling People analytics or reporting capabilities is a plus.
Responsibilities
- Own the product vision, roadmap, and prioritization for the People systems pillar.
- Partner with HR and People Operations stakeholders to understand employee lifecycle workflows and operational needs.
- Present the product roadmap quarterly to senior leadership and report on People analytics health.
- Steward the evolution of Workday, Docebo, Greenhouse, and related People analytics tools.
- Ensure reliable integrations between People systems and downstream Finance, Identity, and analytics consumers.
- Translate workforce processes and operational needs into system requirements and prioritization decisions.
- Balance new capabilities with system reliability, data integrity, and compliance requirements.
- Partner with Engineering to shape scalable workforce systems and automation.
- Support People data, reporting, and workforce insights initiatives.
- Establish and monitor system health and adoption metrics across the People systems ecosystem.
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