Senior Compensation Partner

Gusto Gusto · Fintech · Denver, CO +2 · People

This role is for a Senior Compensation Partner at Gusto, a company focused on serving small businesses. The role is part of the People team and is responsible for building and scaling compensation programs. It emphasizes a systems-first, AI-aware mindset, using automation and AI tools to improve decision quality, ensure compliance, and reduce manual analysis. The role involves developing, implementing, and communicating compensation programs, leading annual cycles, performing market analyses, using AI tools for analysis and reporting, designing scalable workflows, building dashboards, crafting offers, ensuring regulatory compliance, and optimizing HRIS and compensation tools. The ideal candidate has 8+ years of experience in compensation or a related field, AI fluency, experience running compensation cycles, survey benchmarking expertise, a systems-first orientation, strong analytical skills, knowledge of compensation law, and excellent communication skills.

What you'd actually do

  1. Develop, implement, and communicate Gusto's compensation programs, policies, and procedures, ensuring internal equity, external competitiveness, and alignment with business strategy.
  2. Partner with and influence key stakeholders — including HRBPs, Finance, and senior leadership — to translate compensation philosophy into clear, actionable programs.
  3. Lead annual compensation cycles (merit, equity refresh, benchmarking) and own the end-to-end process from data collection through communication.
  4. Perform market analyses and compensation studies using survey data (e.g., Radford/Aon, Mercer, Pave) to recommend pay ranges, job levels, and offer positioning.
  5. Use AI tools and automation thoughtfully to accelerate analysis, synthesize benchmarking data, and reduce planning and reporting load — while maintaining sound judgment around data quality and decision guardrails.

Skills

Required

  • 8+ years of experience in Compensation, Total Rewards, People Operations, or a related analytical function
  • AI fluency: hands-on experience using AI tools or automation to accelerate analysis or synthesis, paired with strong judgment around trust and validation.
  • Hands-on experience running compensation cycles (merit, equity, benchmarking) and building scalable programs from early-stage to maturity.
  • Survey benchmarking fluency: direct experience with Radford/Aon, Mercer, or comparable compensation survey tools and methodologies.
  • Systems-first orientation: experience building durable workflows, automating reports, or designing operating mechanisms that reduce recurring manual work.
  • Strong analytical foundation: advanced spreadsheet skills (Excel, Google Sheets), comfort with data modeling, and experience building dashboards or visualizations that leaders actually use.
  • Knowledge of compensation and employment law, including FLSA, pay transparency statutes, and pay equity frameworks
  • Clear, concise communicator who can translate complex pay data into narratives and recommendations for non-specialist audiences, including executives.
  • Comfort operating at multiple altitudes — from hands-on analysis and modeling to advising leadership on compensation philosophy and strategy.
  • High integrity and intellectual curiosity

Nice to have

  • Background in Mathematics, Finance, Statistics, Economics, or a related quantitative field is preferred but not required.

What the JD emphasized

  • AI fluency: hands-on experience using AI tools or automation to accelerate analysis or synthesis, paired with strong judgment around trust and validation.
  • Hands-on experience running compensation cycles (merit, equity, benchmarking) and building scalable programs from early-stage to maturity.
  • Survey benchmarking fluency: direct experience with Radford/Aon, Mercer, or comparable compensation survey tools and methodologies.
  • Systems-first orientation: experience building durable workflows, automating reports, or designing operating mechanisms that reduce recurring manual work.
  • Ensure ongoing compliance with federal, state, and local pay regulations — including pay transparency laws, FLSA classification standards, and emerging pay equity requirements — and proactively flag legislative changes.