Engineering Lead - AUP (Acceptable Use Policy)

Posted 8 Hours Ago
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Tallinn, Harju maakond, EST
Hybrid
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
Lead a cross-functional AUP squad to architect and operate scalable, resilient detection and control systems. Integrate ML models, build automated workflows and internal tooling to reduce operational cost per case, and maintain high availability, monitoring, and observability for microservices handling global transaction volumes.
Summary Generated by Built In
Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

More about our mission and what we offer.

Job Description

Team you will be working with: AUP (Acceptable Use Policy) team! 🎉
The AUP team designs, builds, and operates the preventative and detective controls that monitor transactions and customer activity. If someone tries to use Wise for prohibited activities, we detect it, review it, and take action.

Join us as we shift our strategy from "Policy-First to Risk-Driven" to drive growth. We want to enable all legal activities and minimize friction for legitimate customers, while surgically targeting and neutralizing genuinely illicit, high-risk behaviors.

As the Engineering Lead, you will lead a highly collaborative, cross-functional squad, alongside data scientists, analysts, compliance managers, and designers. 

How we work:

We operate with high autonomy, low control, and a belief that the best ideas win. We don’t just hand you a roadmap; you will partner directly with your Product Manager, Compliance Lead, and Lead Data Scientist to define both the product and technical vision for the team.

What will you be working on?

  • Risk Detection: Close coverage gaps and scale our detection systems by integrating advanced Machine Learning models and building robust controls to spot AUP violations.

  • Supercharge Operations: Architect automated workflows and intuitive internal tooling to reduce the cost per case and median handling times for our operations analysts.

  • Own the Architecture: Keep our services highly available, resilient, and secure. You’ll ensure we have the right monitoring, observability, and decoupled architectures to scale alongside Wise's massive global volume.

Qualifications

What do you need?

We are fully aware that it is uncommon for a candidate to have all the skills required, and we fully support everyone in learning new skills with us. We value potential, execution, and enthusiasm as much as existing expertise.

  • Engineering Leadership: You have proven experience leading, mentoring, and developing software engineers in an agile environment (either as a Tech Lead or Engineering Manager).

  • Strong Technical Roots: You have a solid engineering background with modern languages and an understanding of frontend frameworks (like React and TypeScript).

  • Distributed Systems at Scale: You have designed, deployed, and maintained scalable, concurrent microservices in a cloud environment. You understand the tradeoffs of high-throughput message processing and asynchronous workflows.

  • Product & Risk Mindset: You don't build tech for the sake of tech. You care about the business impact, understand operational bottlenecks, and can translate complex policy mandates into simple, incremental engineering milestones.

  • Excellent Communication: You can easily align engineers, data scientists, and non-technical business partners (like compliance and operations leads) toward a shared technical vision.

Nice to Have:

  • Prior experience working in FinTech, Financial Crime (AML, Sanctions, Fraud, or Policy enforcement).

  • Experience partnering with Data Scientists to productionalize and scale Machine Learning models.

  • Familiarity with Cloud Infrastructure and modern DevOps tooling (AWS, Terraform, Kubernetes, GitHub Actions).

  • Experience building or optimizing high-volume case-management platforms or operational back-office tools.

  • You are already a customer of Wise!

Additional Information

For everyone, everywhere. We're people building money without borders  — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Skills Required

  • Proven experience leading, mentoring, and developing software engineers in an agile environment
  • Strong engineering background with modern languages and frontend frameworks (React and TypeScript)
  • Experience designing, deploying, and maintaining scalable, concurrent microservices in a cloud environment
  • Understanding of high-throughput message processing and asynchronous workflows
  • Product and risk-oriented mindset able to translate policy mandates into engineering milestones
  • Excellent communication aligning engineers, data scientists, and non-technical stakeholders
  • Prior experience in FinTech or Financial Crime (AML, Sanctions, Fraud, Policy enforcement)
  • Experience partnering with data scientists to productionalize and scale ML models
  • Familiarity with cloud infrastructure and DevOps tooling (AWS, Terraform, Kubernetes, GitHub Actions)
  • Experience building or optimizing high-volume case-management or operational back-office tools
  • Being a Wise customer

What the Team is Saying

Surendra
Smrithi
Pavan
Jennifer
Lindsay
Lauren

Wise Compensation & Benefits Highlights

  • Equity Value & Accessibility Equity is granted to all employees via time‑based RSUs/stock awards, aligning staff with company performance. This broad accessibility makes ownership a core part of total rewards.
  • Leave & Time Off Breadth Policies include a global minimum of 33–36 paid days off and a paid six‑week sabbatical after four years with a cash stipend. The sabbatical is positioned as a standard milestone benefit in addition to annual leave.
  • Parental & Family Support Wise commits to a minimum of 18 weeks’ fully paid parental leave for birth or adoption across many offices. Eligibility rules and tenure may apply by location while maintaining a companywide minimum standard.

Wise Insights

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The Company
9,000 Employees
Year Founded: 2011

What We Do

Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.

Why Work With Us

We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.

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Wise Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.

Typical time on-site: Flexible
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Hydrabad
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London
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Tallinn
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Tokyo
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