
AI R&D Productivity and GitHub Copilot Lead
6 days ago
At Commit AI We're expanding a fast-growing practice that helps engineering teams boost velocity with GitHub Copilot and other AI developer tools. We've served dozens of satisfied customers in Israel and abroad and are now hiring a hands-on thought leader to build and lead this arm: drive R&D productivity programs, own Copilot adoption, create content, and run training at scale.
Key Responsibilities
- Own the R&D productivity agenda across clients: assessments, KPIs, rollout plans, and measurable impact.
- Lead GitHub Copilot for R&D optimization end-to-end, plus evaluate/compare adjacent tools (Claude Code, Cursor, VS Code extensions, agentic assistants).
- Create training materials (labs, playbooks, demos) and deliver workshops; manage a trainer bench and mentor them.
- Act as a public voice: publish posts, speak at events/webinars, and engage developer communities to attract customers.
- Partner with Sales/Delivery on pre-sales to attract new customers.
- Stay on the cutting edge of releases and best practices, turn learnings into repeatable packages.
Requirements:
Required Skills & Qualifications:
- Proven experience driving Copilot/AI dev-tool adoption in engineering orgs (designing rollouts, measuring impact, changing habits).
- Trainer who has built and delivered technical workshops; confident on stage and in live demos.
- Opinionated practitioner who can compare GH Copilot vs. other tools and explain trade-offs clearly.
- Ability to write and speak fluently in English.
- Entrepreneurial mindset: you can build a practice, create content, and help generate demand.
- Solid coding background (doesn't need to be senior-level), enough to craft examples, review code, and guide teams.
Not a fit if
- You haven't led training or created learning materials.
- You aren't active in sharing insights (posts, talks, community) or keeping up with new releases.
- You're new to Copilot/AI dev tools and expect to be trained from scratch.
- You are not a developer
Advantage
- Experience with SDLC optimization and productivity metrics.
- Track record of building developer communities or internal champion programs.
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