Senior Product Manager - Machine Learning and AI
Overview
Wise is a global technology company, building the best way to move and manage the world’s money.
Wise is a global fintech that aims to move money more efficiently and affordably for people and businesses worldwide, building an entirely new network for the world’s money.
About The Role
Our Machine Learning and Generative AI Platform teams are at the forefront of Wise's AI transformation. We're building the foundations that enable our entire organisation to harness the power of AI safely and effectively. Our ML Platform provides cutting-edge tools that turn data science ideas into production with minimal effort, while our GenAI Platform empowers all Wisers to leverage state-of-the-art generative AI through seamless integration, robust governance, and best-in-class developer experience.
We’re looking for a Technical Product Manager who can get their hands dirty. This isn't a role where you'll just write requirements – you'll prototype solutions, analyze complex datasets, and work shoulder-to-shoulder with our engineering teams to shape the future of AI at Wise. You'll navigate the rapidly evolving GenAI landscape while ensuring we move fast without compromising on security, privacy, or compliance.
This is a unique opportunity to drive AI adoption across a global fintech, where your technical depth will be as valuable as your product sense.
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.
Responsibilities
- Drive adoption of our ML/GenAI infrastructure by identifying friction points through data analysis and shipping solutions that reduce time-to-production from weeks to days
- Build and validate technical roadmaps using prototypes, SQL analytics, and hands-on experimentation with our stack (Sagemaker, MLflow, Ray, Bedrock)
- Define success metrics and implement dashboards that track metrics from model performance to business impact
Balance Speed With Safety
- Design governance frameworks that enable rapid experimentation while ensuring compliance - automating risk assessments and privacy checks
- Partner with security to implement model monitoring and access controls that protect customer data without blocking innovation
- Create cost optimization strategies backed by data, reducing ML infrastructure spend while scaling usage
Drive Strategic Technical Decisions
- Evaluate and select AI vendors through hands-on technical assessment and ROI analysis
- Work with engineering to define architecture that scales - from feature stores to multi-cloud inference
- Enable 10x more teams to use AI by building self-service tools, clear documentation, and reusable components
Qualifications
- 6+ years of experience as a Technical Product Manager, with hands-on experience building data or ML products
- Ability to translate between the worlds of data science, engineering, compliance, and business stakeholders
- Built prototypes or production features or internal tools
- Exceptional communicator who can explain complex technical concepts to non-technical stakeholders
- Thrives in ambiguity and can structure complex problem spaces into clear, measurable outcomes
- Hands-on experience with data analysis tools (Python/pandas, Jupyter notebooks) and the ability to analyze large datasets
- Track record of shipping technical products that balance user needs with platform constraints
- Deep understanding of ML workflows—from data pipelines and feature engineering to model training and deployment
- Ability to read and understand code to debug issues and contribute to technical discussions
Nice To Have
- Experience with modern ML stack (MLflow, Airflow, Sagemaker, Ray, Bedrock or similar)
- Hands-on experience with LLMs—prompt engineering, fine-tuning, or building RAG systems
- Knowledge of streaming data systems (Kafka, Flink)
- Experience with Kubernetes, Docker, and cloud infrastructure
- Previous experience building developer platforms or API products
What 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
For everyone, everywhere. Wise is international and celebrates differences. Inclusive teams help us live our values and progress in our 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.
Seniority level
Employment type
Job function
- Product Management and Marketing
#J-18808-Ljbffr
