At Pave, we're building the industrys leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.
Top tier companies like OpenAI, McDonalds, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 58% of Forbes AI 50 use Pave to benchmark compensation.
The future of pay is real-time & predictive, and were making it happen right now. Weve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.
The R&D organization encompasses engineering, product, design, data science, and security. Were a high performing team that moves between ideation, scoping, and execution in a matter of days. Everyone on the team has high agency to design, experiment, and build great software in partnership with our pre-sales and post-sales teams, and our clients.
We're seeking passionate engineers who are excited about building robust, data-rich systems that simplify complex compensation processes at scale. Our stack is React, TypeScript, Node.js , MySQL, and BigQuery hosted on GCP.
Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental, and vision coverage, an unlimited PTO policy, and many other region-specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail.
Salary Range for this role: $140,000 - $196,000
Since being founded in 2019 Pave has grown globally. Were based across our HQ in San Franciscos FiDi neighborhood, Flatiron in NYC and regional hubs in Salt Lake City and the United Kingdom. We embrace a high-energy, collaborative in-person work environment at these locations, operating on a hybrid schedule that brings teams together in-office on Mondays, Tuesdays, and Fridays.
At Pave roles, responsibilities, and compensation grow as you do, reflecting our commitment to your professional development.
Our vision is to unlock a labor market built on trust.
Our team's mission is to build confidence in every compensation decision.
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