Engineering Leaders, fractional.
People who have run AI adoption programs inside scaled engineering teams — workflows, telemetry, enablement — with measured throughput gains.
When to bring one in
- Rolling out AI coding tools beyond the three enthusiasts who already use them
- Instrumenting and proving AI-driven throughput gains to your board
- Fractional VP/Director coverage while you rewire the org
- Engagements
- Fractional eng leadership · Adoption program (4–12 weeks) · Executive advisory
- Vetting
- Public proof of shipped AI work — repos, production systems, measured outcomes. Reviewed by humans.
- Start
- Shortlist in days, not months. Start scoped, expand on results.
- Network
- 5 engineering leaders listed with public profiles.
In the network
Profiles link to public proof — showcases, repos, and source notes. Matching always runs through a brief so we can pair the right person with your exact problem shape.
@brian-scanlan
Engineering lead at Intercom — AI workflows for R&D throughput
1 public showcase → S Steve Kaliski@steve-kaliski
Engineer at Stripe — Slack-to-PR AI agents
1 public showcase → B Boris Cherny@boris-cherny
Anthropic engineer — Claude Code and AI-assisted engineering workflows
view profile → C Cody De Arkland@cody-de-arkland
Developer-experience leader — Sentry, MCP, and agent workflow systems
view profile → K Ketan Gangatirkar@ketang
Technology executive, mentor, investor, and builder
view profile →Need an AI-Native Engineering Leader?
Send a short brief describing the outcome you need. We'll reply with a proof-backed shortlist — or tell you honestly if we don't have the right match.
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