At Pave, we're building the industry's leading compensation platform, combining the world's largest real‑time compensation dataset with deep expertise in AI and machine learning. Our platform perfects the art and science of pay, enabling 8,500+ companies to make confident compensation decisions.
Top‑tier companies such as OpenAI, McDonald's, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, managing over $190 billion in total compensation spend. Our 58% coverage of Forbes AI 50 clients illustrates the platform's impact.
We've raised $160 million from leading investors including Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.
Pave's R&D pillar includes data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500 client organizations.
Our engineering team moves quickly, ideating, scoping, and executing in days while iterating closely with cross‑functional partners. At Pave, we use TypeScript, Node.js, and React, hosted on GCP.
Compensation strategy is broken down into three pillars: compensation bands, planning workflows, and total rewards communication. We build products that make these processes seamless for customers.
Over the next year, our roadmap focuses on enhancing the entire compensation lifecycle—from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We're seeking passionate engineers excited about building robust, data‑rich systems that simplify complex compensation processes at scale.
Salary is just one component of Pave's total compensation package. Your package includes equity, top‑notch medical, dental, and vision coverage, an unlimited PTO policy, and many other region‑specific benefits.
The targeted cash compensation for this position is:
$195,500 – $264,500
Founded in 2019, Pave has a global footprint with headquarters in San Francisco's Financial District and regional hubs in New York City, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative culture through a hybrid model, bringing teams together in‑person on Mondays, Tuesdays, Thursdays, and Fridays.
As set forth in Pave's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.