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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management with a focus on data-driven decision-making, including the development and integration of compensation tools and analytics. Proven ability to enhance operational processes through product logic and effective partnership with cross-functional teams.
Highest-signal resume keywords
Product ManagementData Pipeline DefinitionAnalytical SkillsAI-Model Assisted FeaturesCross-Functional Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisProduct Logic DevelopmentRecommendation Engine DesignMetrics DefinitionIntegration Management
Soft Skills
Partnership SkillsCommunication Skills
Tools & Technologies
HRISATSBusiness Intelligence SystemsCustom-Built ToolsSaaS Platforms
Industry Keywords
Compensation MethodologyChange ManagementData MartRange-Setting ProductWorkflow Management
About the role
Key responsibilities & impact- Own product decisions for the compensation range-setting stack, including the range tool, recommendation engine, and monitoring dashboard
- Partner with Compensation on methodology while owning how methodology becomes product logic
- Define data pipelines and data products using historical ranges, offers, incumbent, and attrition data
- Own partnership with People Analytics on the semantic layer and proposed compensation data mart
- Own the range-setting product and analytics roadmap end to end
- Carry launches to market, including adoption, enablement, and change management
- Improve Compensation Partner productivity across range review
- Manage intake, prioritization, and requirements definition for the compensation stack
- Own integrations with recruiter offer guidance, budget modeling, headcount planning, and Workday range loads
Requirements
What you’ll need- 5+ years of product management experience shipping products end to end, including at least one data- or workflow-heavy internal or B2B product
- Demonstrated success turning a manual, judgment-heavy operational process into a product, including rules, guardrails, recommendations, and measurable throughput gains
- Strong analytical skills and comfort with data, including problem sizing, defining evaluation metrics for recommendation engines, understanding precision-and-recall trade-offs, and distinguishing anomalies from statistically meaningful signals
- Experience shipping an AI- or model-assisted feature where output quality is the product, including rule or prompt design, evaluation sets, and measurement against human decisions
- Excellent partnership and communication skills
- Experience working across custom-built tools and third-party SaaS, including HRIS, ATS, survey and benchmarking, and BI systems
- Experience integrating data across systems and negotiating dependencies with platform and analytics teams
Benefits
Comp & perks- Equity grants
- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- Wellness benefits
- Commuter benefits match
- Paid time off
- Paid sick leave
- Medical benefits
- Dental benefits
- Vision benefits
- 11 paid holidays
- Disability insurance
- Basic life insurance
- Family-forming assistance
- Mental health program
- Flexible paid time off/vacation for salaried roles
- 80 hours of paid sick time per year for salaried roles
- Premium healthcare
- Wellness expense reimbursement