Software Engineer - Core Platform

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 8,500+ companies unparalleled confidence in every compensation decision.

Top tier companies like OpenAI, McDonald’s, 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 70% 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 $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.

Pave's R&D pillar includes our 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.

Compensation strategy is broken down into 3 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 is focused 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 who are excited about building robust, data-rich systems that simplify complex compensation processes at scale.

Learn more about our engineering principles here !

The Core Platform team sits at the center of Pave Engineering, bridging product and platform engineering. We build the foundational services, APIs, and abstractions that enable every team to ship enterprise-grade software with speed and confidence. In this role, you’ll own critical services like user authentication and authorization, as well as the foundational data infrastructure and models powering Pave’s compensation intelligence platform. Success in this role requires strong systems thinking and the ability to drive large, complex initiatives across the organization.