Plan, communicate, and benchmark your compensation in real-time. Backed by Bessemer, Index and Y Combinator.
About the role
This role will be working on Pave's AI compensation analyst - an agentic system that sits on top of the world's largest proprietary compensation dataset and Pave's existing workflow engine. Think: autonomous agents that can reason over structured compensation data and execute multi-step workflows (market pricing, cycle planning, attrition analysis) across Pave's platform.
What they're looking for
- 7+ years of experience building production systems, with deep hands-on expertise in LLMs, agentic architectures, retrieval systems, and evaluation frameworks
- Strong product intuition. You identify customer problems that AI can uniquely solve and partner with Product to shape what gets built, not just how
- Proven track record leading 0→1 technical initiatives with high ambiguity, driving them from concept to production
- Pragmatic engineering judgment: you know when to move fast and when to invest in quality
- Ability to drive technical alignment across teams. You'll be defining primitives and patterns that other engineers build on, so you need to bring people along
- Founder mentality with bias toward action, ownership, and urgency, you're energized by the challenge of bringing a new AI product to market
More about this role
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, Doordash, Fanatics, 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.
This role will be working on Pave's AI compensation analyst - an agentic system that sits on top of the world's largest proprietary compensation dataset and Pave's existing workflow engine. Think: autonomous agents that can reason over structured compensation data and...
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