About The Position

Nubank is seeking an Engineering Director to lead the AI Developer Experience (AIDE) pillar within Global Platforms Engineering. This role is responsible for defining and leading the transformation of how Nubank's engineers write, review, deploy, and operate software using AI. The Director will inherit a mandate, a growing team, and direct access to the CTO. The AIDE pillar has existing momentum with an early production win in the Vector agentic coding platform, an urgent context-infrastructure buildout, and executive sponsorship. The role involves owning and scaling the AIDE pillar, with a focus on measurably increasing shipped PRs per engineer per week through automation and improving token efficiency. The Director will build a dedicated, full-time organization from the ground up and manage the build-vs-partner motion for third-party AI solutions. Key workstreams include NuContext (knowledge and context-extraction layer), Vector (agentic coding & hosted environment), Agentic Code Review, AI SRE, and Prompt Classification & Model Routing. The AI Enablement Platform is also expected to fall under this scope in the future.

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, 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.
  • Drives strategic business alignment at Nubank by analyzing market dynamics, identifying opportunities, and ensuring informed decision-making to influence organizational direction.
  • Masters complex communication, mentoring others, fostering open dialogue, and adapting strategies to enhance organizational effectiveness.
  • Leads with agility, pioneering solutions, fostering a culture of learning, collaboration, and continuous value delivery.

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 eval criteria so decisions aren't subjective.
  • Manage the NuContext workstream, focusing on ontology definition, context curation standards, knowledge graph traversal/retrieval, and context update mechanisms.
  • Oversee the Vector workstream, focusing on sandboxing, harness, memory/retrieval, and system-prompt optimization for AI-assisted coding.
  • Lead the Agentic Code Review workstream to improve defect rates and cycle time.
  • Drive the AI SRE workstream, focusing on 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.
  • Potentially manage the AI Enablement Platform (routing, marketplace, authentication) in the longer term.
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