Workforce Planning Lead (People Analytics)

TL;DR

Workforce Planning Lead (People Analytics): Leading the design and execution of workforce planning, forecasting, and tracking processes with an accent on quantitative modeling and strategic cross-functional partnership. Focus on building predictive attrition models, optimizing hiring velocity, and translating business strategy into actionable headcount plans.

Location: Hybrid (San Francisco, CA or New York City, NY). All staff are expected to be in the office at least 25% of the time.

Salary: $245,000 - $310,000 USD per year

Company

hirify.global is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society.

What you will do

• Lead company-wide headcount planning cycles and align workforce decisions with business strategy.
• Develop quantitative models for headcount forecasting, attrition projection, and hiring scenario analysis.
• Create self-service dashboards in Looker or Tableau to track plan versus actuals and pipeline health.
• Partner with Finance, Recruiting, and HRBPs to model tradeoffs and identify supply/demand gaps.
• Provide operational support during structural changes, including reorganizations and rapid scaling.
• Strengthen infrastructure for position management and workforce data governance.

Requirements

• Proven experience in people analytics, workforce planning, or a similar quantitative role.
• Proficiency in SQL and working knowledge of Python or R for modeling.
• Hands-on experience with HRIS and ATS data.
• Ability to build executive-level dashboards and translate complex analysis into clear narratives.
• Experience operating in high-growth, ambiguous environments.
• Must be based in or able to work from San Francisco, CA or New York City, NY.

Nice to have

• 7+ years of experience in people analytics and workforce planning.
• Background in AI/ML organizations or high-growth technology companies.
• Experience partnering with FP&A on financial planning and budget considerations.
• Knowledge of capacity planning models and organizational design analytics.
• Familiarity with compensation principles for scenario modeling.

Culture & Benefits

• Competitive compensation and optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Collaborative, research-driven environment focused on high-impact AI safety.
• Visa sponsorship availability for eligible candidates.