Compa

Software Engineer, All Teams

Denver, Colorado, United StatesFull time$125,000 - $180,000 / yearPosted 11 days ago
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ABOUT COMPA

Compa is a venture-backed AI startup revolutionizing the future of compensation! We're bringing AI-forward tools and human-centered engineering to make pay competitive and fair, for all. By offering a premier, live compensation data platform that delivers top-tier intelligence to enterprise teams, we enable the world's largest companies to make smart and fair decisions while staying competitive and compliant. In dynamic job markets during the rise of AI, companies need the best data to stay competitive!

Our force-multiplying team is powered by live data and thoughtful design, and our products have earned the trust of the world’s largest companies: NVIDIA, Stripe, DoorDash, OpenAI, Moderna, Workday, Ulta, Target, and more.

Come build with us!

THE ROLE:

At Compa, we’re building the future of enterprise compensation. Our platform helps the world’s largest companies make smarter, fairer, and more transparent pay decisions—powered by live data and thoughtful design.

As a Software Engineer, you’ll have significant ownership and autonomy to build the systems and infrastructure that power Compa’s core products. You’ll work across the stack, collaborate closely with product and design, and contribute to features that directly impact enterprise customers.

In this role, you will:

- Ship production-grade software across Compa’s web app and backend systems

- Build new features and improve existing workflows in collaboration with Product and Design

- Write clean, scalable code and contribute to system architecture decisions

- Participate in code reviews, team rituals, and roadmap discussions

- Solve real problems for enterprise compensation teams—from data pipelines to user experience

MINIMUM QUALIFICATIONS

- 2+ years of experience shipping production software in a collaborative environment

- Strong proficiency in at least one modern web development language or framework

- Comfortable working across the stack or specializing in either fr...