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 DescriptionThe role
We are looking for a Product Lead to run our Data Products & Insights group. You will manage a small team of product managers, including the Product Manager who owns our new data lake, and keep hands-on product work of your own: the foundations that let teams across Wise build with GenAI in production.
What you'll be doing
Lead the team
Set the strategy for Data Products & Insights, covering data foundations, analytics and GenAI
Manage 1 to 2 product managers: coach them, develop their craft, and help them find their own route to impact
Represent the group's work to leadership and partner teams, and bring company context back to the team
Guide the Product Manager's who owns our data lake and analytics platforms, helping them build product craft and stay close to the teams who depend on them.
Stay accountable for the group's delivery, including the data lake migration, reviewing progress and clearing blockers without taking the work over
Hands on
Work with teams across Wise to find where GenAI helps customers most, and prioritise those opportunities with them
Build the shared foundations for experimentation and production use: retrieval, orchestration, evaluation and guardrails
Define how we evaluate AI outputs, with measures for accuracy, latency, customer satisfaction and cost
Work with Legal and Compliance so regulation (EU AI Act, DORA, MAS FEAT) is built into the product lifecycle from the start
Qualifications
What we're looking for
We're building a team that reflects the customers we serve, and we want people with different backgrounds and perspectives in the room.
We know not everyone has a linear path into product leadership. 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. So if you have some of those listed below and are eager to learn more we do want to hear from you!
Experience shipping Data or AI products with measurable customer outcomes, ideally including a data platform implementation or migration
A technical foundation in data engineering, data platforms or ML and AI systems, with working SQL and the depth to hold architecture conversations with engineers
Experience managing or mentoring product managers while staying close to the product work yourself
Working knowledge of LLM application patterns, such as retrieval and agents, and what it takes to run them reliably in production
Clear communication: able to bring stakeholders along and explain decisions without jargon
Comfort working in a regulated environment, in partnership with legal and compliance colleagues
What will set you apart
Experience in financial services, payments or another regulated industry
Hands-on familiarity with the modern data stack, for example Iceberg or Delta, Snowflake or Databricks, and dbt
Familiarity with AI governance frameworks such as the EU AI Act, DORA or MAS FEAT
Additional Information
Find out more
How we work: a practical guide
DEI @ Wise
Product career map
Wise Tech Stack (2025 update)
Careers in Product
Wise Engineering blog
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
- Experience shipping Data or AI products with measurable customer outcomes, ideally including a data platform implementation or migration
- Technical foundation in data engineering, data platforms or ML and AI systems, with working SQL and ability to hold architecture conversations
- Experience managing or mentoring product managers while staying close to product work
- Working knowledge of LLM application patterns, such as retrieval and agents, and what it takes to run them reliably in production
- Clear communication: able to bring stakeholders along and explain decisions without jargon
- Comfort working in a regulated environment, in partnership with legal and compliance colleagues
- Experience in financial services, payments or another regulated industry
- Hands-on familiarity with the modern data stack (Iceberg or Delta, Snowflake or Databricks, and dbt)
- Familiarity with AI governance frameworks such as the EU AI Act, DORA or MAS FEAT
Wise Compensation & Benefits Highlights
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Equity Value & Accessibility — Equity is broadly accessible through RSUs granted to all employees in addition to salary, aligning rewards with company performance. This company‑wide ownership stance is consistently highlighted in the benefits descriptions.
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Leave & Time Off Breadth — Paid time off is notably generous, with a global minimum of 33 days and 36 days listed for U.S. locations. After four years, a six‑week paid sabbatical plus a £1,000 stipend further strengthens time‑away benefits.
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Wellbeing & Lifestyle Benefits — Lifestyle support includes work‑from‑anywhere for up to 90 days per year after six months, flexible working principles, and a 24/7 Employee Assistance Program. Extras like three annual “Me Days” and a professional‑development allowance add quality‑of‑life value.
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.
