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Salary: USD 195,500 - 264,500 / annual
Pave is building the industry's leading compensation platform, combining the world's largest real-time compensation dataset with deep AI and machine learning expertise. The platform serves 9,000+ companies including OpenAI, McDonald's, Instacart, Atlassian, Affirm, Stripe, Databricks, and Waymo, managing $190+ billion in total compensation spend. 80% of Forbes AI 50 companies use Pave for compensation benchmarking.
The Core Platform team sits at the center of Pave Engineering, bridging product and platform engineering. This team builds foundational services, APIs, and abstractions that enable every engineering team to ship enterprise-grade software with speed and confidence. In this role, you will own critical services including user authentication and authorization, as well as foundational data infrastructure and models powering Pave's compensation intelligence platform.
You'll need 5+ years of backend engineering experience building data-intensive applications, ideally with modern web technologies like TypeScript and Node.js. Strong product intuition is essential—you should be able to design generalized platform solutions that solve cross-product challenges. Hands-on experience with data infrastructure, data pipelines/ETLs, and data modeling is required; ML/AI platform experience is a plus. You should have experience leading large technical projects with high ambiguity and multiple stakeholders. An execution-driven mindset is critical: you thrive in fast-paced environments, bias toward action, and ship thoughtful solutions with maintainability and scalability in mind.
The tech stack includes TypeScript, Node.js, MySQL, Prisma, and React, hosted on GCP. Success in this role requires strong systems thinking and the ability to drive large, complex initiatives across the organization.
