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
Our Real-Time Data Platform encompasses two critical foundations of Wise's infrastructure: our Managed Kafka Platform and our Stream Processing Platform. Together, these platforms power everything from service-to-service messaging to complex real-time analytics across the entire company.
Our Kafka Platform is the nervous system of Wise - managing and maintaining infrastructure that handles billions of messages daily. Teams rely on Kafka for asynchronous messaging, publishing domain events, and enabling real-time data flows. But despite being mission-critical, teams struggle with the complexity of topics, consumer groups, ACLs, and monitoring.
Our Stream Processing Platform builds on top of Kafka to enable real-time computation at scale. We operate 300+ streaming pipelines that power everything from fraud detection, operations, and instant payment decisions.
We're looking for a Senior Technical Product Manager who can transform both these platforms from complex infrastructure into self-service products that teams love to use. You'll work across two interconnected challenges: simplifying Kafka adoption for service teams while democratising stream processing for analysts and engineers alike.
How we work
We work differently and we’re proud of it. Our teams are empowered to solve the most urgent and relevant problems they see for our customers. We all share the responsibility of making Wise a success. We empower Wisers to make decisions and take ownership of how they work best. Teams and individuals have different needs – that’s why we have company-wide principles, and then our teams set their own guidelines.
What will you be working on
Transform infrastructure to product:
Understand why teams struggle with streaming and Kafka basics - from topic creation to consumer group management
Map our and Design self-service developer experiences and user journeys that hide complexity while maintaining the power of our Kafka and streaming
Build monitoring solutions that help teams understand their usage without needing to be experts
Help design abstractions for common patterns like event publishing and async messaging to be used by Engineers and Analysts
Improve the developer experience from configuration to production deployment
Improve stream processing accessibility:
Lead the Flink migration while ensuring zero disruption to 300+ existing pipelines
Design the query layer (OLAP) that makes streaming data instantly queryable
Build the accessible streaming interface - enabling teams to create pipelines through simple configuration
Partner with users to understand why they abandon streaming solutions and fix the root causes
Create educational resources that demystify both Kafka and streaming concepts
Drive platform-wide optimisation:
Analyse usage patterns across both Kafka clusters and streaming pipelines to identify optimisation opportunities
Build cost transparency dashboards that help teams understand their real-time data expenses
Design solutions that reduce our infrastructure costs while improving performance
Enable real-time everything:
Work with product teams to unlock use cases currently blocked by platform complexity
Design patterns for common scenarios - from simple pub/sub to complex event sourcing
Build the vision for how Wise uses real-time data over the next 2 years
Create clear migration paths from batch to streaming for critical use cases
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!
You have 4+ years as a technical product manager, ideally with experience in data platforms or infrastructure products
You understand distributed systems and are excited to learn both Kafka and streaming technologies by getting hands-on
You have loads of hands-on experience with data analysis tools (Python/SQL/pandas, Jupyter notebooks) and can independently analyse large datasets
You can empathise with users struggling with complex infrastructure and design intuitive solutions
You excel at simplifying complexity - whether it's Kafka's partitioning or Flink's windowing concepts
You have a track record of driving adoption of technical platforms through great user experience
You're comfortable learning by doing - you'll create your own Kafka topics and build streaming pipelines
Nice to have:
Experience with Apache Kafka, including clusters, topics, and consumer groups
Knowledge of stream processing technologies (Flink, Kafka Streams, Spark)
Background in developer platforms or infrastructure products
Experience with event-driven architectures
Understanding of financial services real-time requirements
What do we offer:
Starting salary: £88,000-£118,000 + RSUs
Wise Benefits
Interested? Find out more:
The Wise Tech Stack, 2025 Edition
Our Application Security Journey
Platform Engineering KPIs
Internal Platform as a Product at Wise
Wise Engineering – https://medium.com/wise-engineering
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.
