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AfterQueryAfterQuerySan Francisco, CA

People Programs Lead

Own and scale AfterQuery's people infrastructure: compensation strategy, leveling frameworks, performance management, L&D, and retention for a fast-growing AI data company. Report to Head of BizOps & People.

190k – 230k/yr
On-site7+ YOEPeople Ops

About the role

What you'll do

  • Design and own AfterQuery’s total compensation strategy — philosophy, bands, leveling, refresh cadence, and equity framework — and refresh it annually against benchmarks and market signals.
  • Build the career pathways and leveling rubric that lets early-career operators see, in writing, what excellence at the next level looks like and how to get there.
  • Stand up a performance management cycle that is fast, written, and useful — calibrated across the company without becoming a tax on managers.
  • Design learning & development programs for a high-agency, early-career workforce — onboarding, manager training, technical depth, and feedback culture.
  • Own retention as a measurable outcome: define the leading indicators, build the sensing systems, and run programs (recognition, internal mobility, comp refreshes) that move the number.
  • Partner with leadership and finance on org design, headcount planning, and the comp/burn tradeoffs that shape the next 12-24 months.
  • Treat People programs as products — instrument them, measure adoption and outcomes, and iterate. Bring the same analytical rigor you would to a P&L.

What we're looking for

  • 7-10+ years of experience across a combination of top-tier strategy consulting, analytical or strategy & operations roles, and core People / HR programs work.
  • Time at companies known for strong People programs: Stripe, Block/Square, Netflix, Airbnb, Gusto, Bridgewater, or industry peers such as Mercor, Surge, or ScaleAI.
  • Quantitative rigor that goes beyond comp benchmarks: model leveling decisions, attrition, comp band overlap, and equity refresh tradeoffs.
  • A point of view: tell founders why they’re wrong about comp transparency or a leveling decision, backed by data and company values.
  • Demonstrated ability to design programs from 0→1.
  • Genuine interest in the AfterQuery thesis on human data for AI.
  • High agency, low ego, written-first. Comfortable in a 5-day in-office SF environment that prizes speed and direct feedback.

Bonus

  • Experience on the org-design side of an AI pivot or step-change in business model.
  • Designed compensation programs for a workforce that includes both full-time employees and a significant expert/contractor population.

Skills

Total Compensation DesignLeveling And Career FrameworksPerformance ManagementOrg DesignHeadcount PlanningRetention AnalyticsEquity FrameworksPeople Program DesignQuantitative ModelingLearning And Development

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