About Nubank

Nu is the world's largest digital banking platform outside of Asia, serving over 127 million customers across Brazil, Mexico, and Colombia. Guided by its mission to fight complexity and empower people, Nu caters to customers' complete financial journey — promoting financial access with responsible lending and transparency. Recognised by Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Banks, Nu is now entering its next growth cycle: accelerating internationalisation outside Latin America and expanding into new verticals beyond financial services.

About the Team

The People Analytics Technology Operations (PATO) team is redefining what People & Culture infrastructure looks like for a company operating at global scale with an AI-first mandate. We don't run HR software — we build the systems that make HR itself obsolete in its traditional form. Our work touches every Nubanker, every country, every moment of the employee lifecycle. We are the internal frontier lab for agentic people systems.

About the Role

Here is the core question this role exists to answer: if you were designing People & Culture infrastructure from scratch today — knowing that AI agents will run most operations, humans will audit rather than execute, and the channels and surfaces workers interact with don't fully exist yet — what would you build?

This isn't a rhetorical question. It's the actual brief.

The SaaS era of HR technology is being disrupted faster than most incumbents can adapt. Workday, SAP, ServiceNow — products built for a world of human workflows and form-based interfaces — are structurally ill-equipped for an agent-native operating model. The real competitive moat in this next era won't be features. It will be the depth of integration within a specific domain, and the quality of the data and reasoning layer that sits beneath it. We have the rare opportunity to build that solution — purpose-built for the People & Culture domain — inside one of the most technically ambitious companies in the world.

As Global People Data & Tech Director, you will lead the effort to design and build this from the ground up. You will define what the agentic HR stack looks like: the data models that make agents actually useful, the orchestration layer that lets them act with minimal human friction, the audit surfaces that let people stay in control without becoming bottlenecks, and the foundational platform that scales to 40+ markets without scaling the team that builds it. Agentic development practices aren't a side methodology here — they are how this organisation will operate. You build with agents, you build for agents, and your team stays lean precisely because of it.

This role isn't for someone who has deep experience with HR software. It's for someone who looks at HR software and sees an industry ripe to be rebuilt. You are a product and infrastructure thinker who happens to care deeply about the employee experience — and who has the technical depth and organisational leadership to translate that vision into production systems used by hundreds of thousands of people.

Key Responsibilities

Define the Agent-Native HR Stack

• Design the architecture for a People & Culture platform where agents are first-class citizens: capable of executing hiring, onboarding, payroll, compliance, and performance workflows with minimal human intervention.
• Define the human-in-the-loop model — which decisions require human review, through what interfaces, with what level of latency — so that oversight is meaningful rather than ceremonial.
• Identify and kill the workflows that should no longer exist at all.

Build the Data Foundation

• Architect the People data layer that will serve as the substrate for agent reasoning, predictive analytics, and LLM-powered insight generation for the next decade.
• Ensure the data model is jurisdiction-aware from day one — built to accommodate the legal, cultural, and operational variance of 40+ markets without requiring structural rework per country.
• Drive the transition from fragmented HR data silos to a unified, real-time, auditable data layer that agents and analysts can trust equally.

Build With and For Agents

• Apply agentic development practices to your own team's engineering process — using agents to write, test, review, and deploy code so that headcount does not scale linearly with product scope.
• Lead the development of real-time AI-powered employee experiences: intelligent copilots, proactive guidance systems, and autonomous support channels that resolve needs before they become tickets.
• Advance Nubank's application of large language models to unstructured People data — feedback, communications, performance narratives — turning qualitative signal into structured organisational insight.

Own the Platform Vision

• Define the comprehensive HR platform roadmap — what we build, what we integrate, and what we deliberately do not own — with a bias toward deep integration over broad coverage.
• Ensure the platform is designed for global scale from the start: multi-currency, multi-jurisdiction, multi-language, and operable across legal entities without per-country engineering investment.
• Bridge strategic vision with hands-on execution, staying close enough to the codebase and architecture to make credible decisions and earn the trust of your engineering team.

Lead the Organisation

• Build and lead a high-performing, deliberately lean team that punches well above its headcount because it builds and operates with agents.
• Develop senior technical leaders who can own domains end-to-end, reducing coordination overhead and enabling faster iteration.
• Foster a culture of intellectual honesty — one that questions inherited assumptions about how HR technology should work, and is willing to discard anything that doesn't hold up.

Qualifications & Skills

What We're Looking For

We are not looking for someone who has spent their career in HR technology. We are looking for someone who has built consequential software systems, who thinks seriously about agents and automation, and who is intellectually excited by the opportunity to apply that background to a domain that is fundamentally underbuilt.

Required

• 10+ years in software engineering and technology leadership, with demonstrated experience owning large-scale production systems from architecture through operation.
• Deep fluency in data architecture and data modelling — the ability to design canonical data structures that remain coherent as business complexity grows across jurisdictions and entity types.
• Hands-on experience building with or designing for agentic systems: familiarity with LLM-based reasoning, tool use, multi-agent orchestration, and the failure modes that come with autonomous execution.
• Experience leading platform or infrastructure products — systems used by other teams and applications, not just end users — with the taste and discipline that entails.
• Proven ability to scale impact without scaling headcount: through leverage, tooling, great architecture, and a culture that defaults to automation before process.
• Strong engineering management skills, including the ability to hire, develop, and retain senior technical talent and engineering leaders.

Valued

• Experience building products that operate across multiple legal jurisdictions — especially products where regulatory variance is a first-class design constraint, not an afterthought.
• Background in developer platforms, internal tooling, or B2B SaaS — contexts where you have thought carefully about API design, data contracts, and integration depth.
• Familiarity with the People & Culture domain — not as a practitioner, but as a product builder who has spent time understanding what HR teams actually do, where the friction lives, and what automation can and cannot replace.
• Experience operating within a high-growth technology company where ambiguity is the norm and the product surface changes faster than any roadmap.

Core Leadership Skills

• Business Acumen: Drives strategic alignment by reading market dynamics, spotting where incumbents are structurally vulnerable, and translating that into build-vs-integrate decisions with long-term leverage.
• Communication: Moves between technical depth and executive narrative fluently — able to defend architectural choices with an engineer and explain the same decision to a board.
• Agile Adaptability: Leads in conditions of genuine uncertainty, treating early product iterations as learning instruments and calibrating direction based on evidence rather than original conviction.

Role Details

Location:  São Paulo, Mexico City, Bogotá, or US (Palo Alto, Miami, or Virginia) | Location-Specific Disclosures

Reports To: Suzana Kubric, CHRO at Nubank

What you’ll do: 

• Develop safety critical software components for Archer’s flight control system.
• Participate in planning, design, scheduling, prioritizing, and tracking the project.
• Work with system engineers to decompose item requirements into high level and low level software requirements in compliance with DO-178C.
• Work with a multi-disciplinary team to develop and integrate the complex hardware/software flight control system.
• Development of software plans, processes & guidelines
• Software requirements decomposition, analysis, definition, and traceability
• Software design and development, performance, risk, safety, operation and cost optimization trade studies, and lead / conduct design reviews
• Software analyses, requirements-based testing, and structural coverage analysis
• Contribute to the continuous improvement of our processes to increase safety and efficiency
• Archer Brazil is based in Sao Paulo, but this role is remote friendly anywhere in Brazil

What you need:

• 5+ years of experience in a flight control software or a related field
• Bachelor of Science in Electrical Engineering, Computer Engineering, Computer Science, or related degree
• Proficiency with C/C++
• Experience with MATLAB/Simulink
• Fluency with widely used scripting languages like bash and Python 
• Experience developing software complying with safety standards like DO-178C or ISO 26262 to high criticality levels (DAL-A/B)
• Understanding of communication standards and protocols (RS-422/485, CAN, ARINC-429, AFDX, Ethernet, TCP/IP, etc…)
• Familiarity with debuggers and lab instruments such oscilloscopes and bus analyzers
• Experience with Model Based Software development and certification (DO-331) 
• Excellent organizational and communication skills Bonus qualifications
• Experience with VHDL and/or Verilog development
• Familiarity with modeling tools like UML or SysML
• Knowledge of Real Time Operating Systems (RTOS) and multi-threading
• Experience in Linux
• Experience with DO-254 
• Experience with tools qualification (DO-330)

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

About the role

At Nubank, protecting customer data is a foundational element of our relationship with over 100 million users. As a Data Security Analytics Engineer, you will be responsible for designing and evolving the secure infrastructure that allows our teams to innovate at scale while maintaining the highest standards of privacy and compliance. You will lead the integration between Data Engineering and Security, ensuring that sensitive data is classified, governed, and monitored across our global analytics environment. Your mission is to balance risk reduction with high usability and performance, ensuring that data security is embedded by design in every pipeline and analytical layer.

You'll be responsible for

• Designing Secure Data Architectures: Independently build and evolve secure data ingestion, transformation, and analytics pipelines that support sensitive and regulated data across all analytics environments.
• Implementing Platform-Level Security: Drive the rollout of improvements such as classification tags, policy-driven access controls, and automated validations to reduce risk without compromising system performance.
• Governing Data Models: Own the design and evolution of data models and semantic views that enforce security and privacy requirements by default.
• Operationalizing Metadata and Lineage: Lead initiatives to track data lineage and sensitivity metadata across critical sources, enabling scalable governance and observability.
• Executing Audits and Remediation: Actively lead access reviews and remediation efforts, identifying gaps in least-privilege enforcement and proposing structural improvements.
• Monitoring and Detection: Design and maintain dashboards, logs, and alerts to detect anomalous data access, misuse patterns, or risky joins across analytics workloads.
• Incident Response and Investigation: Investigate complex access anomalies or security incidents, performing root cause analysis and proposing preventive controls in collaboration with Security Engineering and Data Platform teams.
• Building Internal Tooling: Maintain and develop tooling that enables secure data usage at scale, such as permission helpers and metadata validation frameworks.

We are looking for a person who has

• Data Engineering Expertise: Solid understanding of ETL/ELT fundamentals, data warehouses, and distributed systems such as BigQuery, Databricks, Kafka, or Redshift.
• Security Control Implementation: Strong working knowledge of encryption, masking, tokenization, classification, and fine-grained access control (RBAC/ABAC).
• Advanced Analytical Skills: High proficiency in SQL and experience designing analytical data models with a focus on performance, correctness, and sensitive data handling.
• Production-Grade Programming: Proficiency in writing maintainable and testable code in at least one language, such as Python, Scala, Clojure, or Go.
• Infrastructure and DevOps Knowledge: Familiarity with CI/CD pipelines, Infrastructure as Code, and containerized environments like Docker and Kubernetes.
• Data Observability: Experience in surfacing actionable metrics and logs for security monitoring and incident investigation.
• Strategic Communication: Ability to translate security and regulatory requirements into concrete engineering solutions while engaging with technical and non-technical stakeholders.
• Cloud Proficiency: Exposure to cloud security practices in large-scale environments, specifically AWS or GCP.

Location for this opportunity (City, Country)

• São Paulo, Brazil 
• Campinas, Brazil 
• Rio de Janeiro, Brazil 
• Belo Horizonte, Brazil 

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for this Role

Option 1: Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/