工程总监，AI开发者体验（AIDE）
Engineering Director, AI Developer Experience (AIDE)
关于Nu
Nu是拉丁美洲领先的数字银行，为巴西、墨西哥和哥伦比亚的1.4亿客户提供服务。该公司通过利用数据和专有技术开发创新产品和服务，引领行业变革。
以对抗复杂性并赋能人为使命，Nu为客户的完整金融旅程提供服务，通过负责任的借贷和透明度促进金融准入和进步。公司由一个高效且可扩展的商业模式驱动，结合低成本的服务与不断增长的回报。
Nu的影响力已获得多项奖项的认可，包括《时代》100家最具影响力公司、《快公司》最具创新力公司以及《福布斯》全球最佳银行。
访问我们的机构页面 https://www.nu.com/2026-en
关于团队
该职位位于全球平台工程：工程赋能部门，隶属于Eric Young（全球平台工程首席技术官）https://www.linkedin.com/in/ericcyoung/。AI开发者体验（AIDE）支柱是独立领导的开发者基础设施支柱的AI原生对应项：这是CTO组织设计审查中的常设议题。
向工程赋能高级总监汇报，同时有虚线汇报给Rahul Ahlawat（工程高级总监兼CTO首席幕僚）https://www.linkedin.com/in/rahul-ahlawat。目前领导一支约10-15名工程师的团队，涵盖五个工作流，随着8个已承诺的“深度锻造”人员加上外部招聘而持续扩展。这是一个具有明确支持的全新领域：章程、预算讨论和人员配置管道已经存在。该负责人不仅制定战略，还负责执行，对团队结构、自建与购买决策以及工作流优先级拥有真正的决策权。该负责人还将直接与第三方AI供应商（如Factory.ai、Devin类工具）以及五个核心工作流中的内部工程师互动。
关于职位
Nubank是少数具备规模（3500+工程师）、AI雄心和高管支持的公司之一，能够打造真正AI原生的开发者体验：而非附加的试点项目。该职位负责在工程赋能中定义和领导AI开发者体验支柱，改变Nubank工程师编写、审查、部署和运营软件的方式。
该负责人继承了明确的授权、不断壮大的团队以及与CTO的对话席位。该支柱已有实际进展。
查看英文原文
ABOUT NU
Nu is the leading digital bank in Latin America, serving 140 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services.
Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns.
Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks.
Visit our Institutional Page https://www.nu.com/2026-en
About the team
This role sits within Global Platforms Engineering: Engineering Enablement, under Eric Young https://www.linkedin.com/in/ericcyoung/ (CTO, Global Platforms Engineering). The AI Developer Experience (AIDE) pillar is the AI-native counterpart to the separately led Developer Infrastructure pillar: a standing topic in CTO org-design reviews.
Reports to a Senior Director, Engineering Enablement and dotted line to Rahul Ahlawat https://www.linkedin.com/in/rahul-ahlawat, Engineering Senior Director & Chief of Staff to the CTO. Leads a team of approximately 10–15 engineers today, spanning five workstreams, scaling with 8 committed "Deep Forge" headcounts plus external hiring. This is green-field scope with established backing: the charter, budget conversations, and headcount pipeline already exist. The Director shapes execution and strategy, not just strategy alone, and has real decision-making authority over team structure, build-vs-buy calls, and workstream prioritization. The Director will also engage directly with third-party AI vendors (e.g., Factory.ai, Devin-class tools) and with ICs across the five core workstreams.
About the role
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.
The Director inherits a mandate, a growing team, and a seat at the table with the CTO. The pillar already has real momentum: an early production win in the Vector agentic coding platform, an urgent context-infrastructure buildout, and direct executive sponsorship.
Key responsibilities and Expectations
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; the CTO has personally committed to reallocating direct reports and unlocking headcount.
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.
Core workstreams:
- NuContext: the knowledge and context-extraction layer (docs, Confluence, Jira, code) that everything else depends on; currently the single highest-priority area for Nubank's long-term AI strategy. Owns ontology definition, context curation standards, knowledge graph traversal/retrieval, and context update mechanisms.
- Vector (agentic coding & hosted environment): sandboxing, harness, memory/retrieval, and system-prompt optimization for AI-assisted coding.
- Agentic Code Review: AI-assisted PR review to cut defect rates and cycle time, a direct lever on the org's top-line change failure rate (CFR) goal.
- AI SRE: moving from vendor evaluation to AI-native incident detection, diagnosis, and remediation at scale.
- Prompt Classification & Model Routing and 3rd-party AI tooling vendor management: scope and placement still being finalized; the Director will help shape this boundary.
- Longer term, the AI Enablement Platform (routing, marketplace, authentication) is expected to fold into this scope as leadership bandwidth allows.
Qualifications
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).
- Prior exposure to fintech, regulated environments, or large legacy codebases where AI adoption is harder to get right (nice-to-have).
Core Leadership Skills
The following executive leadership skills serve as a reference for senior leadership levels at Nubank, setting expectations that grow with increasing complexity, ambiguity, and influence.
BUSINESS ACUMEN
Drives strategic business alignment at Nubank by analyzing market dynamics, identifying opportunities, and ensuring informed decision-making to influence organizational direction.
COMMUNICATION
Masters complex communication, mentoring others, fostering open dialogue, and adapting strategies to enhance organizational effectiveness.
AGILE ADAPTABILITY
Leads with agility, pioneering solutions, fostering a culture of learning, collaboration, and continuous value delivery.
Role Location
Palo Alto, US: adhering to company policy for in-office attendance (2026: 2x/week; 2027 onwards: 3x/week).
Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.