5 часов назад
People Operations & Compensation Lead (AI)
147 500 - 181 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
People Operations & Compensation Lead (AI): Leading People Operations and compensation programs for an AI and biology research institute with an accent on benefits, employee experience, and technology-driven HR workflows. Focus on implementing AI-native operations, managing compensation cycles and benchmarking, and solving complex benefits and operational issues across the employee lifecycle.
Location: Palo Alto, California, United States. Hybrid role with onsite work 3 days per week.
Base salary: $147,500–$181,500 per year, plus an annual discretionary bonus and benefits.
Company
is an independent nonprofit research organization working at the intersection of artificial intelligence and biology to accelerate scientific progress and understand complex diseases.
What you will do
- Lead the People Operations team and establish a culture of service and operational excellence.
- Drive AI-native, technology-enabled People operations with a strong employee experience.
- Oversee onboarding, offboarding, employee changes, escalations, benefits decisions, and complex compensation situations.
- Manage the PEO relationship, benefits program, compliance, and benefits strategy.
- Lead compensation cycles, benchmarking, and maintenance of the compensation structure using AI-driven workflows.
- Partner with hiring managers and recruiting on offers and AI-enabled compensation tools.
Requirements
- 8+ years of experience in People Operations or relevant experience.
- Experience supporting benefits and compensation programs.
- Proven experience implementing AI and automation.
- Strong operational background and cross-functional collaboration skills.
- Experience managing and developing teams.
- Broad experience with technology and workplace tools.
Culture & Benefits
- Work alongside more than 300 employees at the Palo Alto headquarters.
- Support an independent nonprofit research environment combining experimental and computational biology.
- Benefits program managed in partnership with a PEO.
- Annual discretionary bonus based on individual and institute performance.
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