At a Glance
- Tasks: Lead the development of a new data lake for analytics and AI at Wise.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse team environment with a commitment to learning and inclusion.
- Why this job: Own a major project that impacts real-time fraud detection and financial reporting.
- Qualifications: 3-5 years in product management with a focus on data infrastructure.
The predicted salary is between 60000 - 80000 £ per year.
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.
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
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.
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.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager - Data Lake in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Wise!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Wise would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Wise through your school's career services!
We think you need these skills to ace Product Manager - Data Lake in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Manager - Data Lake, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Manager - Data Lake position at Wise. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Wise
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
