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Pave is building the market's leading real-time compensation platform. We are seeking an experienced backend engineer to own scalable systems for our most sophisticated customers, partner with stakeholders, and drive end-to-end lifecycle ownership from discovery to post-release monitoring.
You will set technical direction, mentor teammates, and craft robust architectures in a fast-paced environment, shaping how pay decisions land across organizations.
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 is perfecting the art and science of pay to give 9,000+ companies unparalleled confidence in every compensation decision.
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 is perfecting the art and science of pay to give 9,000+ companies unparalleled confidence in every compensation decision.
Top tier companies like OpenAI, McDonald's, Instacart, Atlassian, Affirm, Ericsson, 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 80% of Forbes AI 50 use Pave to benchmark compensation.
The future of pay is real‑time & predictive, and we’re making it happen right now. We’ve raised $175M in funding from leading investors like Andreessen Horowitz (a16z), Index Ventures, Y Combinator, Insight Partners, Atomico, Venture Partners, and Craft Ventures.
Compensation decisions get made every day with far less data than they deserve. Market Pricing empowers teams to price jobs in hours instead of months, with more data, build competitive pay ranges, and understand exactly how those decisions land across their organization. Getting this right means companies can stay competitive and retain their best talent.
At Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best‑in‑class medical, dental, and vision coverage, unlimited PTO, and region‑specific benefits designed around your life, not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask.
Targeted cash compensation for this role:
P4: $195,500 - $264,500
At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.
Founded in 2019 with a clear purpose and a team that has never wavered from it, Pave has grown into a global force in compensation management — giving thousands of companies the tools to take control, build confidence, and earn credibility in every pay decision they make. And we’re just getting started. Headquartered in San Francisco’s Financial District, with regional hubs in New York City’s Flatiron District, Salt Lake City, Kraków (Poland), and the United Kingdom — wherever you’re based, you’ll find the same thing: people who genuinely care about the work, each other, and the customers that rely on Pave.
We run a hybrid culture that brings teams together in person 3 to 4 days a week — and every Friday, the whole company gathers for our Team Sync: breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot. It’s one of the things people notice when they join us — that we truly enjoy spending time together.
Our culture is shaped by five values we live every day:
Unlock a labor market built on trust.
Build confidence in every compensation decision.
We build software that transforms how companies pay their people — and we believe the team behind that software deserves the same thoughtfulness. If you’re ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we’re solving, we’d love to meet you.