Senior Compensation Analyst

7 Minutes ago • 5 Years + • $173,000 PA - $259,000 PA
Financial Analysis

Job Description

Lambda, The Superintelligence Cloud, is seeking a Senior Compensation Analyst to support the design, execution, and administration of compensation programs. This role involves market benchmarking, pay analysis, and partnering with People Ops and Talent Acquisition. The analyst will maintain compensation tools, prepare reports, manage survey submissions, and drive process improvements. The position requires 5+ years of compensation experience, strong analytical skills, and proficiency in compensation principles and tools like Excel, Rippling, Carta, and Pave. This is a hybrid role based in the San Francisco office 4 days per week.
Good To Have:
  • Experience with compensation survey platforms (e.g., Radford, Pave).
  • Exposure to compensation compliance topics (e.g., SOX, pay transparency laws).
  • Familiarity with BI/reporting tools (e.g., Tableau, Looker).
Must Have:
  • Support the design, execution, and administration of compensation programs.
  • Conduct market benchmarking and pay analysis.
  • Partner with People Ops and Talent Acquisition for job offers, promotions, and leveling decisions.
  • Maintain and optimize compensation tools and workflows in Rippling, Carta, and Pave.
  • Prepare compensation reports, dashboards, and analyses.
  • Manage survey submissions and external data requests.
  • Drive process improvements that enhance accuracy, efficiency, and employee experience.
Perks:
  • Generous cash & equity compensation
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and Commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible Paid Time Off Plan

Add these skills to join the top 1% applicants for this job

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU.

If you'd like to build the world's best deep learning cloud, join us.

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

The People Team at Lambda is building the kind of company we all want to work for. We move fast, cut through noise, and care deeply—about clarity, fairness, growth, and getting the details right. From hiring to offboarding (and everything in between), we make sure every Lambda has the support, tools, and structure to thrive. Our scope includes recruiting, rewards, L&D, employee relations, communications, and culture—all the things that shape a great place to work.

What You’ll Do

  • Support the design, execution, and administration of compensation programs, including annual and mid-cycle reviews, promotion cycles, and equity refresh grants.
  • Conduct market benchmarking and pay analysis to ensure competitive and equitable compensation practices.
  • Partner with People Ops and Talent Acquisition to evaluate job offers, promotions, and leveling decisions.
  • Maintain and optimize compensation tools and workflows in Rippling, Carta, and Pave, ensuring data accuracy and scalability.
  • Prepare compensation reports, dashboards, and analyses to support HRBPs, finance, and people leadership.
  • Manage survey submissions and external data requests to ensure reliable market benchmarking.
  • Drive process improvements that enhance accuracy, efficiency, and employee experience in compensation programs.

You

  • Have 5+ years of experience in compensation (preferably in tech or high-growth environments).
  • Possess a strong understanding of core compensation principles, including market pricing, job leveling, and pay equity.
  • Bring working knowledge of equity compensation and the ability to support equity programs (RSUs, options, refresh cycles).
  • Are proficient in Excel/Google Sheets with advanced functions; experience with Rippling, Carta, and Pave preferred.
  • Have strong analytical and problem-solving skills, with a detail-oriented and execution-focused mindset.
  • Communicate effectively and collaborate well across HR, Finance, and Talent teams.
  • Thrive in a fast-paced environment and can manage multiple priorities with a high degree of accuracy.

Nice to Have

  • Experience with compensation survey platforms (e.g., Radford, Pave).
  • Exposure to compensation compliance topics (e.g., SOX, pay transparency laws).
  • Familiarity with BI/reporting tools (e.g., Tableau, Looker).

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

  • Founded in 2012, ~400 employees (2025) and growing fast
  • We offer generous cash & equity compensation
  • Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and Commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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