Senior Product Manager, People Product

DoorDash is hiring a Senior Product Manager to own internal compensation products, including the range-setting tool, recommendation engine, and monitoring dashboard. The role turns compensation methodology and data into product logic, improves compensation workflows, and manages connections to adjacent compensation products.

Responsibilities:

• Own product decisions for the compensation range-setting stack — the range tool, its recommendation engine, and the monitoring dashboard — partnering with Compensation on methodology while owning how that methodology becomes product logic
• Define the data pipelines and data products that range setting depends on — historical ranges, offers, incumbent, and attrition data — and own the partnership with People Analytics on the semantic layer and the proposed compensation data mart, including what the product requires of each
• Own the range-setting product and analytics roadmap end to end and carry launches to market — adoption, enablement, and change management
• Improve Compensation Partner productivity across the range review, while also managing intake, prioritization, and requirements definition for this part of the compensation stack
• Own the seams into adjacent compensation products — recruiter offer guidance, budget modeling, headcount planning, and Workday range loads

Requirements:

• 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 — rules, guardrails, recommendations, and measurable throughput gains — rather than digitizing a spreadsheet
• Strong analytical skills and real comfort in data: you can size the problem, define the evaluation metric for a recommendation engine, read a precision-and-recall trade-off without flinching, and tell the difference between an anomaly and a statistically meaningful signal
• Experience shipping an AI- or model-assisted feature where output quality is the product: rule or prompt design, evaluation sets, and honest measurement against human decisions
• Excellent partnership and communication skills, including with the partners whose day-to-day judgment your product is encoding. You will need their trust to get their reasoning on the record
• Experience working across custom-built tools and third-party SaaS (HRIS, ATS, survey and benchmarking, BI), including integrating data across systems and negotiating dependencies with platform and analytics teams
• Direct experience with Compensation or Total Rewards — range architecture, market pricing, survey data, compa-ratio, peer groups, leveling, or annual budget planning
• Familiarity with Workday, Greenhouse, Snowflake, and/or Sigma and their extensibility models
• Experience building for multi-brand, multi-region, and multi-currency environments, and the data-privacy constraints that come with them
• Experience shipping on top of a semantic layer, or enabling natural-language querying over a governed dataset