Jobs at Pave

Build and own foundational platform services, APIs, authentication and authorization systems, data infrastructure, and models powering Pave’s compensation platform. Design generalized solutions for cross-product needs, develop data-intensive applications and pipelines, lead complex technical initiatives across stakeholders, and deliver scalable, maintainable software in a fast-paced environment.

Build and scale data-dense frontend interfaces that help compensation teams benchmark roles, price jobs, and make pay decisions. The role owns technical strategy and delivery outcomes, emphasizing performance, accessibility, interaction quality, reusable systems, and thoughtful prioritization. It also involves mentoring engineers, clarifying ambiguous problems, and contributing effectively in a fast-paced environment.

Design and implement scalable backend systems and enterprise-ready features for Pave’s Market Pricing platform. Own the full development lifecycle, collaborate with customers and stakeholders, solve ambiguous problems, monitor releases, set technical direction, mentor engineers, and improve engineering standards while prioritizing performance, reliability, and robust system design.

Build and ship product-facing features for Pave's compensation platform. Work cross-functionally with Product and Design to implement data-intensive web experiences, iterate rapidly based on customer feedback, and own work end-to-end. Contribute to frontend, backend, or full-stack development using modern web technologies.

Lead and build product-facing features for a compensation platform: own projects end-to-end, collaborate with Product and Design, mentor engineers, break down ambiguous problems, and ship data‑intensive web applications using modern technologies.

Lead complex enterprise sales cycles for Pave's compensation platform, selling six-figure deals to HR and Finance leaders. Build pipeline via inbound and outbound, partner with product, engineering, and customer success, influence roadmap, create account plans, and act as a trusted advisor to drive adoption and successful outcomes.

Build and maintain scalable data models and pipelines (especially Market Data) using dbt and Airflow; implement data observability, testing, and monitoring; collaborate with data scientists, product, and engineering to deliver production data products that drive revenue and customer value.

Lead Developer Platform initiatives to improve developer experience and velocity. Define CI/CD and observability standards, rethink local workflows and incident response, integrate AI-assisted/agentic tooling, partner across product and data teams, own developer velocity and reliability metrics, and scale production systems.

Build and own foundational services, APIs, and data infrastructure for Pave's compensation platform. Implement authentication/authorization, data pipelines, and models; drive large cross-team initiatives with a focus on scalability, maintainability, and product-led platform solutions.

Lead end-to-end implementations and onboarding for Pave's compensation platform, manage 30–40 customers, handle integrations, data migration, and configurations, provide strategic compensation advice, project-manage cross-functional work, and surface customer needs to Product and Engineering.