Engineering Director, AI Developer Experience (AIDE)

Required

• Professional Experience & Education:
• Proven leadership of AI-native developer tooling or platform teams, ideally at a company operating at meaningful engineering scale.
• Track record building full-time, dedicated engineering teams out of fragmented, part-time, or borrowed resourcing: including experience in allocating teams, stellar in people leadership to do it without burning teams out.
• Real experience structuring and running third-party vendor partnerships (evaluation, integration, managing lock-in risk) alongside first-party build.
• Hands-on technical credibility in agentic coding systems, context/retrieval infrastructure, or developer-facing AI tooling: able to go deep with ICs, not just manage from a distance.
• Comfort operating in a high-velocity, ambiguous, and high-executive-visibility organization; ability to align and mobilize teams to take on new challenges and scale impact.
• High accountability and ownership mindset, coupled with the ability to move fast under pressure.
• Comfort with an honest, unsolved problem space: even leading peer companies are far from 100% AI-authored code; this role is about the challenge and the resourcing to attack it, not a pre-solved problem.
• A track record that positions the Director as the natural next-step candidate for the broader Engineering Enablement M6 role.
• A builder's instinct for evaluation rigor: experience designing evals/benchmarks that replace subjective quality judgments with objective, repeatable measurement.
• Experience with sandboxed agentic execution environments, retrieval-augmented systems, or LLM-based code review tooling (nice-to-have).
• Familiarity with token-cost management as AI spend scales (nice-to-have).