Senior Software Engineer

Who We Are 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. The Data Platform Team @ Pave The Data Platform team owns the data infrastructure that makes Pave work — connecting Pave's platform to the HRIS, EMS, ATS, and partner systems that power our customers' compensation workflows. Without reliable, high-quality integrations, none of Pave's products can deliver their full value. This is a high-leverage role at the core of Pave's platform strategy. This is also a rare opportunity to join as a founding engineer on the team - meaning you won't just be executing on a defined roadmap, but actively shaping how the platform evolves, what gets prioritized, and what engineering culture looks like from day one. As a Senior Software Engineer on the Data Platform team, you will design and build the connectors, pipelines, and platform capabilities that enable Pave to serve enterprise customers at scale. You'll have significant influence over the architecture and reliability of a system that touches every Pave customer. What You'll Do Design and build new HRIS, EMS, ATS, and partner integrations, with a focus on enterprise-grade systems like Workday, BambooHR, and ADP Own integrations end-to-end — from connector design and data mapping through testing, rollout, and ongoing reliability Build and improve observability tooling — monitoring, alerting, and debugging infrastructure that gives the team and customers confidence in pipeline health Partner closely with product and go-to-market to prioritize connector coverage and unblock key deals Identify and address systemic reliability and scalability issues in Pave’s data platform What You'll Bring 5+ years of experience building and shipping production-grade software, with meaningful exposure to integrations, data pipelines, or API platforms Strong understanding of integration patterns, API design, and the operational challenges of third-party data dependencies Experience working on enterprise B2B products and an understanding of the reliability and data quality standards they require Ability to lead technical projects with ambiguity — third-party APIs are rarely well-documented and requirements shift Execution oriented — eager to not only design solutions but dive into implementation and see them through to a reliable, monitored production state Experience with our tech stack: TypeScript, Node.js, React, GCP Compensation, It's What We Do. Salary is just one component of Pave's total compensation package for employees. This position will be set up as a B2B contract. 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. This salary range may include multiple levels. Life @ Pave Since being founded in 2019, Pave has established a robust global footprint. Headquartered in San Francisco's Financial District, we operate strategic regional hubs across New York City's Flatiron District, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative workplace culture through our hybrid model, bringing teams together in-person on Mondays, Tuesdays, Thursdays, a ... (truncated, view full listing at source)