Nubank
Financial Services
AIResearchManager
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“AI Research Manager at Nubank. Skills: AI Research, Machine Learning, People Management, Research Operations. Lead, mentor, and advocate for researchers. Foster psychological safety, high ambition, and scientific inquiry”
What You'll Achieve.
Make exceptional science happen; Researchers do great work; Compounding into production capabilities; Build the intelligence layer; See bets reach customers
Industry & Context.
Problem framing; Root cause analysis
What They're Looking For.
Must Have
3+ years people-management experience, M.S. or Ph.D. in quantitative field, Working understanding of core AI methodologies, Build, scale, and retain high-performing teams
Nice to Have
Deep conceptual familiarity with core research areas, Experience operating in global, distributed teams, Experience from foundational research to production systems, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
and advocate for researchers
Foster psychological safety
and scientific inquiry
Own operating health of the team
Attract and retain top-tier research talent
Build team reputation
Own operating cadence of research bets
Frame problems and set OKRs
Track progress and make go/no-go decisions
Allocate GPU capacity
Balance exploration against compounding bets
Protect deep-focus research time
Create space for rigorous
Pursue ambitious bets
Raise bar on research rigor and communication
Ensure experimental design
Cultivate team standing in research community
open-source contribution
and conference presence
Partner with senior technical leads
Align operational execution with research roadmap
Ensure clean handoffs from research into production
Translate technical progress into high-impact narratives
Connect research milestones to business outcomes
Bridge foundational research and business strategy
Enable Nubank's AI-first direction
How You'll Work.
Team & Collaboration
Partner with senior technical leads; Cross-functional collaboration; Handoffs from research into production; Collaboration with applied teams; Collaboration with executive leadership
Communication Scope
Executive presentations; Technical communication; High-impact narratives
Process & Methodology
OKRs, Progress tracking, Resource allocation
Full Job Description
AI Research Manager About Nubank Nubank is one of the world's largest digital financial services platforms, recognized by Time 100, Fast Company, and Forbes for leading an industry transformation. Driven by our mission to fight complexity and empower more than 130 million customers, we leverage data and proprietary technology to build the future of financial services. 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. We are executing an AI-first transformation. The AI Core Research team owns Nubank's forward-looking research agenda: the foundational capabilities that compound into long-term advantage rather than incremental wins. The quality of this team directly shapes whether we lead or follow over the next 24 months. About the role As AI Research Manager, you will own the operating health and execution of Nubank's ML research agenda. This is a dedicated people-management role for a small, high-talent-density team of world-class researchers, partnering closely with senior technical leads who drive the scientific direction. The team works on a portfolio of research bets on a one-to-four-quarter horizon. This work compounds into the production capabilities Nubank will depend on. Current and upcoming bets include: Next-generation nuFormer architectures: proprietary transformers that learn from raw transaction sequences and power key production credit decisions Multitask and multi-target modeling: single models serving many high-impact prediction tasks at once Training and inference efficiency: distillation, quantization, sparsity, and parallelism to run state-of-the-art models economically at our scale Causal modeling and policy optimization: moving beyond prediction to the decisions and policies those predictions should drive World models: open-ended models that reason about a customer's full financial life Reco
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