Engineering Director, AI Developer Experience (AIDE)

Nubank is one of the few companies with the scale (3,500+ engineers), AI ambition, and executive air cover to build a genuinely AI-native developer experience: not a bolt-on pilot. This role is responsible for defining and leading the AI Developer Experience pillar within Engineering Enablement, transforming how Nubank's engineers write, review, deploy, and operate software.

Responsibilities

Own and scale the AI Developer Experience pillar, with an initial focus on measurably increasing shipped PRs per engineer per week through automation, and improving token efficiency as AI spend scales; Build the team from the ground up, converting today's borrowed, part-time contributors into a dedicated, full-time organization; Run the build-vs-partner motion, standing up fast, structured engagements with third parties to benchmark, accelerate, and in some cases co-build, while defining objective eval criteria so decisions aren't subjective; Lead core workstreams including NuContext, Vector, Agentic Code Review, AI SRE, and Prompt Classification & Model Routing/3rd-party AI tooling vendor management

Requirements

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 and stellar 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, with the 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; 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, with experience designing evals/benchmarks that replace subjective quality judgments with objective, repeatable measurement

Nice to have

Experience with sandboxed agentic execution environments, retrieval-augmented systems, or LLM-based code review tooling; Familiarity with token-cost management as AI spend scales; Prior exposure to fintech, regulated environments, or large legacy codebases where AI adoption is harder to get right