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Clay

Software Engineer, Developer Experience (AI)

New York (Remote)$130k–$300kfulltimemidAdded 1 month ago

About this role

Clay is seeking a Software Engineer focused on Developer Experience to build infrastructure and tooling that enables both human engineers and AI coding agents to work effectively across the full development lifecycle. You'll design systems that provide deep codebase context, streamline development workflows, and safely integrate changes into production.

What you'll do

  • Design and build developer experience systems for engineering and AI coding agents
  • Work on monorepo organization and orchestration
  • Create infrastructure for codebase context awareness and agent execution
  • Develop testing, validation, and deployment systems
  • Build tools that improve development workflows across the full lifecycle
  • Enable safe integration of AI-generated code into production systems

What they're looking for

  • Infrastructure and systems design
  • Developer tooling experience
  • Full-stack development
  • Version control and monorepo systems
  • Testing and deployment automation
  • AI/ML systems integration
  • Production systems and reliability
  • API design

Benefits

  • Work on AI-first infrastructure challenges at scale
  • Access to world-class coaches in creativity and management
  • Vibrant company culture with unique employee backgrounds
  • Recent $100M Series C funding and $5B valuation
  • Community equity offering opportunities
  • Innovative operating principles focused on growth and creativity
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Clay

Clay builds go-to-market and developer experience infrastructure, including automation workflows, sales tools, and web experiences that help teams acquire customers and improve efficiency. The company is hiring GTM Engineers to build internal systems and automations, Web Developers to create conversion-focused experiences, and Software Engineers to improve developer tooling and AI integration.

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Likely interview questions

  • Tell me about your experience building or improving developer tooling and infrastructure. What impact did it have on your engineering team's velocity?
  • How would you approach designing a system that gives coding agents deep context about a codebase, infrastructure, and development lifecycle?
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