Staff Compensation Analyst

Tenstorrent

Austin, Santa Clara (TX, CA)

Remote

USD 120,000 - 210,000

Full time

14 days+

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Job summary

Tenstorrent is seeking a Staff Compensation Analyst to own global total rewards processes, run compensation and equity review cycles, and guide offer governance within a fast-growing AI company. This high-autonomy role focuses on building data foundations, benchmarking, dilution analysis, and multi-country salary structures, collaborating with HR, Finance, and leadership.

This remote North America role emphasizes executive-ready analytics, equity budgeting, and forming robust compensation

Qualifications

  • 5+ years of global compensation analysis or equivalent analytical People/Finance experience.
  • expert Excel or Google Sheets financial modeling skills.
  • end-to-end ownership of at least one full compensation cycle.
  • experience with multi-country, multi-currency salary structures and equity vehicles.

Responsibilities

  • Own the global compensation calendar and compensation and equity review cycles, and lead complex new-hire compensation and equity decisions against internal equity and market benchmarks.
  • Build a trusted compensation data foundation by auditing historical records, cleaning legacy files, and keeping data consistent across Rippling, Greenhouse, and reporting systems.
  • Deliver executive-ready benchmarking, equity budgeting, dilution analysis, and other analytics that support leadership decisions.

Skills

Global compensation analysis
Excel skills
Google Sheets
Equity budgeting
Data governance
Multinational compensation

Tools

Rippling
Greenhouse

Job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

At Tenstorrent, the Staff Compensation Analyst will own the building blocks of our global total rewards engine. You will run compensation and equity review cycles, guide offer governance, strengthen the data foundation behind compensation decisions, and turn complex analysis into clear recommendations for leaders across the company. This is a high-autonomy, greenfield role for someone excited to build durable programs and processes in an AI-forward environment.

This role is fully remote, based out of North America, preferably aligned to PDT hours.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are
  • An experienced compensation professional who takes ownership, works with discretion, and brings accuracy to sensitive decisions.
  • A builder who is comfortable creating structure where processes and systems are still evolving.
  • A clear, pragmatic communicator who can make compensation, equity, and dilution understandable to engineers, managers, and executives.
  • A collaborative, AI-curious partner who works across HR, People Operations, Finance, and business leadership while protecting confidential information.
What We Need
  • Own the global compensation calendar and compensation and equity review cycles, and lead complex new-hire compensation and equity decisions against internal equity and market benchmarks.
  • Build a trusted compensation data foundation by auditing historical records, cleaning legacy files, and keeping data consistent across Rippling, Greenhouse, and reporting systems.
  • Deliver executive-ready benchmarking, equity budgeting, dilution analysis, and other analytics that support leadership decisions.
  • Bring 5+ years of global compensation analysis or equivalent analytical People/Finance experience, expert Excel or Google Sheets financial modeling skills, end-to-end ownership of at least one full compensation cycle, and experience with multi-country, multi-currency salary structures and equity vehicles.
What You Will Learn
  • How to build and scale a global total rewards engine in a fast-growing, AI-forward company.
  • How to run compensation and equity cycles end to end, from planning and governance through executive communication.
  • How to turn benchmarking, internal equity, and dilution analysis into decisions leaders can act on.
  • How to improve the systems, data structures, and partnerships that make compensation programs consistent and trusted.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Tenstorrent’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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