Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 81 days ago

Staff Software Engineer, Product Workflow Reinvention

Nubank97 open roles

Where
Palo Alto
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowStaff Software Engineer, Product Workflow ReinventionNubank · Palo Alto

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Nubank's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Nubank postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 81 days ago

Nubank median: 1 days open

The posting

ABOUT NU

Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.

Proprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability.

Visit our Institutional Page https://www.nu.com/2026-en

About the role We are hiring a Staff Software Engineer to be the foundational technical lead on the newly established Product Workflow Reinvention team inside Global Products. This is a high-impact, 0-to-1 initiative working directly alongside our CPO structure to shape one of the company’s strategic bets on AI: reinventing how products are designed, specified, and built.

Product Workflow Reinvention aims to replace the current, human-centric approach with an AI-native workflow. As the foundational engineer on this team, you will own the end-to-end technical architecture and build the initial internal platforms that ship weekly improvements to how Nubank builds products.

Mission

Design and operationalize the foundational technical strategy for Product Workflow Reinvention so that:

- Intent becomes execution: Product requirements, research, and technical specs flow seamlessly into AI agents and domain execution tools with complete legibility and provenance.

- Platform primitives are built for AI-native engineering: Product and platform teams consume well-architected workflows, state machines, and event systems designed specifically for agentic execution.

- Every slow step in the life cycle has a tool: Product and engineering teams get first-class tooling for technical discovery, prototype-to-code experimentation, self-serve customer data, service health, and ops automation.

- Agentic workflows scale safely, deterministically, and economically: Evaluation harnesses and integration patterns let LLM agents perform complex build tasks reliably, at a defensible cost per outcome, while keeping humans in the loop at strategic decision gates.

- The workflow encodes what good looks like, so speed does not come at the cost of rigor.

Core Responsibilities

- Lead the architecture of the orchestration layer: Own the end-to-end architecture of the single system of record, including data models, work legibility, and spec delivery to domain agents.

- Design AI-native platform primitives: Build new platform abstractions from scratch, applying deep backend expertise to workflows, state management, event orchestration, and agent integrations.

- Make agents reliable and affordable: Design agentic workflows, evaluation harnesses, and integration patterns that turn frontier models into practical velocity multipliers. Own the cost side of that equation through context design, model selection, and knowing when a deterministic component beats an inference call.

- Ship the first-generation workflow tools: Build and iterate on the internal products that remove the slowest steps in the life cycle, from research and requirements generation to technical discovery, design-to-code experimentation, self-serve customer data, service health, and ops automation. Pick the sequence based on where teams actually lose the most time.

- Operate in a high-autonomy, greenfield environment: Translate broad product vision and monthly milestones into concrete architectural decisions, implementation roadmaps, and sequencing.

CORE QUALIFICATIONS

- Senior Staff-Level Engineering Experience: Proven track record designing, building, and operating complex backend or platform systems at scale.

- End-to-End Architectural Ownership: Demonstrated ability to set technical direction, write comprehensive design docs/RFCs, and establish primitives that other engineers build against. Expertise in data modeling, workflow engines, state machines, and event-driven architecture.

- 0-to-1 Platform Delivery: Experience leading ambiguous platform initiatives from early discovery to launch and rapid iteration. Comfort operating in small, fast-moving environments by creatively combining APIs, open-source tools, and AI models rather than over-engineering.

- Built for other builders: Experience building internal tools or platforms whose users were other product creators, with evidence you drove real adoption rather than only shipping capability. You understand why teams abandon an internal tool in week two. Bonus: you have worked on a customer-facing product that also became a platform other products were built on.

- AI and agentic conviction: Strong, well-reasoned conviction around LLM agents, agentic systems, or spec-driven development, with real examples of using AI tools, automation, or decision-support mechanisms to accelerate development workflows. You are connected to where the field is moving without being carried by the hype, and you can name concretely what agents cannot yet do reliably.

- Executive Communication & Alignment: Exceptional written and verbal communication skills, with the ability to turn strategic goals into clear plans and partner effectively with senior executives.

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.

To maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here https://script.google.com/a/macros/nubank.com.br/s/AKfycbwvrewE58oGSbRWIVv8CyCWN68GLxpPVsfYYXv-ZHg94QFsTJmi82rF1x0yt-OTs2W0DQ/exec

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Nubank's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Nubank's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Nubank's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.