About Nu
Nu is the leading digital bank in Latin America, serving 135 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.
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About the role
The Marketing Platforms area, inside our Growth Platforms BU, is responsible for enabling Nubank’s growth engine across owned and paid channels.
This includes our public websites (BR, MX, CO and future markets), the Audience Manager platform (how we build, govern and activate audiences for campaigns and experiments), and Campaign Manager / orchestration capabilities that connect messages, audiences and channels into coherent customer journeys at scale.
As a Staff Software Engineer – Marketing Platforms , you will be a senior technical leader working across this ecosystem: defining architecture and technical direction, ensuring that Audience Manager, Website Platform and Campaign Manager evolve as a cohesive platform, and directly influencing how Nubank acquires, engages and retains customers across countries.
You’ll be responsible for
Designing and evolving large-scale, data-intensive marketing platforms, in domains such as martech, experimentation, audience/identity and web platforms, operating across multiple channels and markets.
Working end-to-end across the Marketing Platforms stack, partnering with Audience Manager, Website Platform and Campaign Manager squads to define technical direction, shape roadmaps and ensure these platforms work together as a cohesive ecosystem.
Translating growth and brand strategy into platform architecture, turning audience, campaign and website needs into clear architectural choices and explicit trade-offs with a long-term view.
Providing strong technical leadership: setting architectural direction, leading design reviews, evolving engineering standards and mentoring engineers and tech leads across multiple squads.
Helping teams design systems that are observable, debuggable and experimentation-friendly, supporting data-driven decision making in how we run campaigns and optimize journeys.
Navigating complex stakeholder landscapes, collaborating with Product, Data, Design, Marketing and other platform teams to align priorities, manage dependencies and keep interfaces between systems healthy over time.
Operating in high-visibility, cross-impact areas, where platform decisions directly affect Nubank’s growth, brand presence and audience activation across BR, MX, CO and future geos.
Framing ambiguous problems into clear options, and driving alignment through well-structured communication (technical docs, RFCs, design sessions and presentations).
We are looking for a person who has
Required
Solid experience as a Staff-level engineer designing and evolving large-scale, data-intensive platforms, ideally in marketing technology, experimentation, audience/identity or web platforms.
Ability to work end-to-end across a multi-product stack, partnering with several squads to make sure platforms interoperate as a coherent ecosystem.
Proven track record connecting product strategy and platform design, turning growth and brand objectives into concrete architectural choices for audiences, campaign orchestration and website capabilities.
Strong technical leadership skills: setting architectural direction, driving design reviews, evolving engineering standards and mentoring senior engineers and tech leaders.
Experience with experimentation and data-driven decision making, and with designing systems that are observable, instrumented and easy to reason about.
Demonstrated ability to navigate complex stakeholder environments, collaborating with Product, Data, Design, Marketing and other platform teams to align priorities and manage dependencies.
Comfort operating in high-visibility, cross-impact domains, where platform decisions have direct effect on growth and brand outcomes.
High tolerance for ambiguity, with the ability to frame complex problems into clear options and drive alignment through structured written and verbal communication.
Nice to have
Background in growth, martech or CRM platforms.
Experience in multi-country or multi-brand environments.
Previous work on customer data platforms, journey orchestration or experimentation platforms.
Location for this opportunity
Brazil – Hybrid hubs: São Paulo, Campinas, Rio de Janeiro, or Belo Horizonte (aligned with Nubank’s official office locations).
Work Model for this Role
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/
Our Benefits – Brazil (Employee, Hybrid)
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
Join us
If you want to shape the platforms that power Nubank’s growth engine — from how we build audiences to how we orchestrate campaigns and run our public websites — we’d love to hear from you.
Apply now to be our Staff Software Engineer – Marketing Platforms in Brazil.
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.