Product Manager - Data Lake

Posted Yesterday
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London, Greater London, England, GBR
Hybrid
Mid 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
Own the data lake product and lead migration to a modern lakehouse. Define roadmap, drive adoption by treating internal teams as customers, onboard workloads, improve performance/cost/quality, and build metadata, ownership and access controls. Track adoption, query performance, costs, and data quality to increase trust and usage.
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

The Role

We are looking for a Product Manager to own our new data lake: the platform that will hold the data behind analytics, reporting and AI at Wise. We are moving from systems we have outgrown onto a modern lakehouse, and you will own that move as a product, from roadmap to adoption. You will work with a dedicated engineering team and be guided by the Product Lead for Data Products & Insights, but the roadmap will be yours.

This role suits someone with around 3 to 5 years of product experience and a background in data infrastructure, who wants to own a large, visible project end to end.

What you'll do

  • Own one of Wise's biggest product bets: the data lake at the core of our data infrastructure, behind real-time fraud detection, workforce management, analytics, financial reporting, and the big data use cases nobody has built yet

  • Treat the teams who run on that data as your customers: understand what they need from the platform, decide what it should be great at, and shape the roadmap around the value each step creates

  • Win adoption one workload at a time: every dataset that moves should be faster, cheaper or more trustworthy than where it lived before, so teams choose your platform rather than being told to use it

  • Onboard teams onto the platform, watch where they struggle, and turn that into product improvements

  • Define and track the measures that matter: adoption, query performance and cost, data quality incidents, and whether users trust what they find

  • Build metadata, ownership and access controls in from the start, so trust in the platform grows as fast as usage

 

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 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!

  • Around 3 to 5 years of product experience, or a mix of product and hands-on data work, with at least two platform products shipped end to end

  • A background in data infrastructure: you have built or worked closely with pipelines, warehouses or lakes, and you are comfortable in SQL

  • The ability to turn ambiguous technical work into a clear, staged roadmap with measurable outcomes

  • Experience working closely with engineers, and the communication skills to explain technical trade-offs to non-technical colleagues

  • Care for the people who use data: you enjoy talking to users, observing where they struggle, and turning that into product improvements

What will set you apart

  • Hands-on experience with the modern data stack, for example Iceberg or Delta, Snowflake or Databricks, dbt or Airflow

  • Experience with a data migration or re-platforming project, on either the product or the engineering side

  • Experience in financial services or another regulated industry

 

Additional Information

Find out more

  • How we work: a practical guide

  • DEI @ Wise

  • Product career map

  • Wise Tech Stack (2025 update)

  • Bringing Data Sources Together with PipelineWise

  • Data Inventory

  • 3 Main Elements in Your Snowflake Bill

  • Rack awareness in Kafka Streams

  • 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

  • 3 to 5 years of product experience or mix of product and hands-on data work, with at least two platform products shipped end to end
  • Background in data infrastructure; built or worked closely with pipelines, warehouses or lakes
  • Comfortable in SQL
  • Ability to turn ambiguous technical work into a clear, staged roadmap with measurable outcomes
  • Experience working closely with engineers and explaining technical trade-offs to non-technical colleagues
  • Enjoys talking to data users, observing struggles, and turning feedback into product improvements
  • Hands-on experience with modern data stack (Iceberg or Delta, Snowflake or Databricks, dbt or Airflow)
  • Experience with a data migration or re-platforming project
  • Experience in financial services or another regulated industry

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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