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 DescriptionAbout the role
We are looking for a talented Engineering Lead to join our Comparison team, part of the Onboarding & Scalable Growth squad
Comparison is about transparency, helping customers understand the real cost of sending money and why Wise is the better choice. You'll own the systems that collect pricing data from competitors and make it accessible across Wise. That data serves two customers: customer-facing comparison experiences (web pages, widget, calculator and the public API), and competitive intelligence that helps Marketing, Regional and Pricing teams shape their strategy.
This means creating the underlying technology that enables Wise to build intelligent and resilient (self-healing) scrapers at scale (thousands) operating with minimal manual intervention. It also includes building reliable data pipelines, and APIs that teams depend on. Accuracy and trust are non-negotiable.
The comparison team is small but growing: full-stack and backend engineers working with Product, Analytics, Design and Comparison Operations. The work covers the whole stack, from data collection pipelines and backend services to the React/Next.js experiences customers see. We're looking for a lead who is comfortable on both sides and is excited by data-heavy products and is driven to build a scalable and reliable data collection framework.
As an Engineering Lead, you will:
Lead, coach and mentor the engineers in your team. You'll own their health, growth and productivity, and grow the team as it scales.
Work closely with the Product Manager to shape the roadmap and technical vision across our three growth levers: reach (collect pricing in new markets and new products), convert (enhance our comparison web pages, widget and calculator) and retain (introduce comparison in the logged-in experience).
Own the reliability, accuracy and scalability of our competitor data platform and the public Comparison API, from collection and validation through to how the data is served.
Own the technical strategy and delivery of our intelligent scraping platform. Architect and scale the core technology that empowers teams to deploy thousands of intelligent, self-healing, and resilient scrapers, minimizing manual maintenance while maximizing data accuracy.
Push forward how we use AI in our data pipeline, for example LLM scrapers, automated quality control and AI-assisted ways to fix scrapers. Make sure we adopt it safely, measurably and at scale.
Give feedback on technical designs and help the team make data-driven decisions, using experiments and our North Star metric (Comparison-sourced new customers) to decide what to build next.
Partner across Wise, including Marketing, Compliance, SEO, Regional, and Pricing teams, to establish clear operating models, request triage, and governance so that comparison data is trusted wherever price proof matters, while balancing customer-facing and internal user needs with clear trade-offs.
Keep an overview of the wider Scalable Growth space and think about engineering as a whole, including how other teams can build on our data and tooling.
Understand the team's systems deeply enough to be hands-on when needed, and join the team's on-call rotation for our critical services.
What do you need?
We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you!
A track record of leading, coaching and mentoring driven, high-performing teams. Experience setting up ways of working that help a team deliver fast while improving reliability and quality.
A strong product mindset and a passion for UX. You prioritise work with customers in mind and make data-driven decisions to fix customer pain points
Great communication skills and the ability to explain complex technical concepts to non-technical audiences
Experience designing and operating scalable, resilient systems that handle large amounts of data and traffic, with a focus on observability, data quality. You can demonstrate how you reduced manual operational work while maintaining reliability and correctness
The ability to break down complex projects into incremental milestones that deliver customer value, especially when you're entering a new product area or market
Knowledge of and experience with Java and Spring Boot, event-driven microservices architectures (for example Kafka) and relational databases
Experience with, or a strong interest in, applying LLMs in production: data extraction, evaluation and observability, and guarding against hallucination
Hands-on experience designing and operating systems that collect and validate data from changing or unreliable external sources (e.g. web scraping, third-party integrations).
Experience running experiments (A/B testing) and working closely with analysts is a plus
Additional Information
Interested? Find out more:
How we work – a practical guide
DEI @ Wise
Wise Tech Stack (2025 update)
Our Engineering career map
Wise Engineering – https://medium.com/wise-engineering
What do we offer:
Starting salary: £105,000 - £135,000 + RSUs
Wise Benefits
#LI-Hybrid
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
- Track record of leading, coaching, and mentoring high-performing engineering teams
- Experience establishing ways of working that improve delivery speed, reliability, and quality
- Strong product mindset and passion for user experience
- Strong communication skills, including explaining complex technical concepts to non-technical audiences
- Experience designing and operating scalable, resilient systems handling large volumes of data and traffic
- Experience with observability and data quality practices
- Demonstrated ability to reduce manual operational work while maintaining reliability and correctness
- Ability to break down complex projects into incremental milestones that deliver customer value
- Knowledge of and experience with Java and Spring Boot
- Experience with event-driven microservices architectures, such as Kafka
- Experience with relational databases
- Experience with or strong interest in applying LLMs in production, including data extraction, evaluation, observability, and hallucination prevention
- Hands-on experience designing and operating systems that collect and validate data from changing or unreliable external sources, such as web scraping or third-party integrations
- Experience running experiments such as A/B testing and working closely with analysts
Wise Compensation & Benefits Highlights
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Leave & Time Off Breadth — Paid time off is considered generous, with substantial annual PTO, sick leave, and a paid sabbatical after four years highlighted. Feedback suggests these policies meaningfully support rest and flexibility.
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Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, vision, and options like HSA contributions and a zero-deductible plan in some cases. Feedback suggests the healthcare offering is viewed favorably overall.
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Equity Value & Accessibility — Equity grants (RSUs or stock options) are broadly available and positioned as a core part of total compensation. Feedback suggests some employees find the equity a meaningful component of their overall package.
Wise Insights
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.
