Source description
About the role
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
As a Senior Software Engineer, you'll have real ownership over the software and systems behind Compa's core products. You'll work across the stack, partner closely with Product and Design, and ship features that directly impact our customers.
In this role, you will
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Own production software across Compa's web app and backend systems, from design to delivery
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Own key ML and AI integrations into our data workflows, including building our own agent harness
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Build new features and improve existing workflows alongside Product and Design
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Lead architecture decisions and write clean, scalable code
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Drive code review and influence roadmap and technical direction
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Solve real problems for enterprise comp teams, from data pipelines to user experience
Minimum Qualifications
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5+ years of professional experience shipping production software on a team
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Deep proficiency in at least one modern web language or framework, and fluency across the stack
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Successful end to end ownership of complex features or systems (design to production)
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Experience leading technical decisions (trade-off justification)
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Experience driving projects autonomously through ambiguity (scoping to delivery)
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Experience raising the bar through code review and mentoring
Preferred Qualifications
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Experience at early-stage or high-growth startups
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Familiarity with compensation, HR tech, or enterprise SaaS
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Experience with data-driven products or complex user workflows
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Interest or experience in AI systems or ML infrastructure
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Comfortable with ambiguity and fast, iterative work
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Tech Stack
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You don't need experience with all of these, but familiarity with any is a plus:
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Backend: Django, Python
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Frontend: React, TypeScript, GraphQL
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Infrastructure: AWS
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Other Tools: vLLM, Linear, Slack, Notion, Metabase
More at Compa
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