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Описание вакансии
Текст:
TL;DR
Staff Compensation Analyst (AI): Building and operating global compensation and equity programs, data foundations, and executive-ready analytics with an accent on multi-country salary structures, equity vehicles, and compensation governance. Focus on running review cycles, auditing compensation data, modeling equity budgets and dilution, and translating complex analysis into leadership decisions.
Location: Hybrid, based out of Santa Clara, California, United States
Compensation: $100,000–$500,000 annually, including base and variable compensation targets; actual compensation depends on experience, skills, education, background, and location.
Company
Tenstorrent develops AI computing technologies spanning software models, compilers, platforms, networking, semiconductors, and high-performance RISC-V CPUs.
What you will do
- Own the global compensation calendar and lead compensation and equity review cycles.
- Guide complex new-hire compensation and equity decisions using internal equity and market benchmarks.
- Audit historical records, clean legacy files, and maintain consistent compensation data across Rippling, Greenhouse, and reporting systems.
- Prepare executive-ready benchmarking, equity budgeting, dilution analysis, and related analytics.
- Partner with HR, People Operations, Finance, and business leaders while handling sensitive information confidentially.
Requirements
- 5+ years of global compensation analysis or equivalent analytical People or Finance experience.
- Expert Excel or Google Sheets financial modeling skills.
- End-to-end ownership of at least one complete compensation cycle.
- Experience with multi-country, multi-currency salary structures and equity vehicles.
- Ability to explain compensation, equity, and dilution clearly to engineers, managers, and executives.
- Eligibility to access U.S. export-controlled technology is required; employment may depend on citizenship or permanent residency status or prior license approval.
Culture & Benefits
- High-autonomy, greenfield role focused on building scalable total rewards programs and processes.
- Opportunity to develop a global total rewards engine in an AI-forward environment.
- Collaborative culture emphasizing curiosity, accuracy, discretion, and solving difficult problems.
- Competitive compensation package and benefits.
- Equal opportunity employment.
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