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Improve the end-to-end developer experience of AI development tools. Identify friction points, drive workflow improvements, and raise adoption by making AI tooling faster, clearer, and more reliable for developers in their daily work.
Job Responsibility:
Partner with developers across teams to identify friction points with current AI tools and workflows
Design and implement UX and workflow improvements (commands, shortcuts, templates, defaults, onboarding flows)
Enable and improve context engineering practices for existing AI-assisted development tools in collaboration with the Context Engineering Specialist
Instrument usage and feedback to quantify impact of improvements
Produce guidance, examples, and enablement content to help teams adopt improved patterns
Contribute to knowledge transfer and handover to steady-state teams
Requirements:
4+ years experience, including recent hands-on use of AI-assisted development tools
4+ years experience shipping developer-facing improvements (internal tools, SDKs, CLIs, IDE extensions, or platform workflows)
4 Years of coding in Python and/or TypeScript
comfortable touching shared code and context repositories
Bachelor's degree in Computer Science, Software Engineering, or related technical field (or equivalent professional experience)
Nice to have:
Background in DevEx, platform engineering, or internal developer platforms
Experience authoring or improving LLM prompts, skills, or plugins in production
Familiarity with developer telemetry / observability (usage analytics, A/B testing of dev tools)