Engineering Director, AI Developer Experience (AIDE)

Nubank•Palo Alto, CA

4d•Onsite

About The Position

Nubank is seeking an Engineering Director to lead the AI Developer Experience (AIDE) pillar within Global Platforms Engineering: Engineering Enablement. This is a green-field opportunity with established backing, responsible for defining and leading the AI Developer Experience, transforming how Nubank's engineers write, review, deploy, and operate software. The role reports to a Senior Director, Engineering Enablement and has a dotted line to an Engineering Senior Director & Chief of Staff to the CTO. The Director will lead a team of approximately 10-15 engineers, scaling with committed headcounts and external hiring. This position offers real decision-making authority over team structure, build-vs-buy calls, and workstream prioritization, and involves direct engagement with third-party AI vendors and internal engineering teams. The pillar has existing momentum with an early production win in the Vector agentic coding platform, an urgent context-infrastructure buildout, and direct executive sponsorship.

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.
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.
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.
A track record that positions the Director as the natural next-step candidate for the broader Engineering Enablement M6 role.
Experience designing evaluations/benchmarks that replace subjective quality judgments with objective, repeatable measurement.
Professional Experience & Education.

Nice To Haves

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.

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: stand up fast, structured engagements with third parties to benchmark, accelerate, and in some cases co-build, while defining objective evaluation criteria.
Own NuContext: the knowledge and context-extraction layer (docs, Confluence, Jira, code) that everything else depends on, including ontology definition, context curation standards, knowledge graph traversal/retrieval, and context update mechanisms.
Own Vector (agentic coding & hosted environment): sandboxing, harness, memory/retrieval, and system-prompt optimization for AI-assisted coding.
Own Agentic Code Review: AI-assisted PR review to cut defect rates and cycle time.
Own AI SRE: moving from vendor evaluation to AI-native incident detection, diagnosis, and remediation at scale.
Shape the scope and placement of Prompt Classification & Model Routing and 3rd-party AI tooling vendor management.
Longer term, the AI Enablement Platform (routing, marketplace, authentication) is expected to fold into this scope.