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OpenAI

Software Engineer, Codex — User Activation

San Francisco (Remote)$230k–$385kfulltimemidAdded today

About this role

Build full-stack product experiences that drive developer adoption of Codex, an AI software engineer. You'll own onboarding, discovery, integrations, and team collaboration features that help developers connect Codex to their workflows and sustain usage across organizations.

What you'll do

  • Design and build onboarding and setup experiences that connect Codex to repositories, tools, and developer workflows
  • Create discovery surfaces for Codex capabilities including plugins, integrations, templates, and workflow entry points
  • Develop collaborative team features such as workspace setup, invitations, sharing, and usage visibility
  • Build full-stack systems across web, IDEs, CLI, and integrations balancing UX with reliable backend architecture
  • Partner with product and design to run experiments, analyze activation funnels, and identify adoption blockers
  • Work with customers and GTM teams to translate real-world adoption challenges into scalable product capabilities

What they're looking for

  • Full-stack web development (React, TypeScript)
  • Backend engineering (Python, Go, or similar)
  • Product thinking and user experience design
  • Data analysis and experimentation
  • Developer product experience
  • Cross-functional collaboration
  • Rapid iteration in ambiguous environments
  • API integrations and IDE development
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

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Likely interview questions

  • Describe your experience building onboarding or activation features. How did you measure success and what did you learn?
  • Tell us about a time you identified and solved an adoption blocker in a product you've built or worked on.
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