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For Companies At a Glance
- Tasks: Lead the development of AI platforms, driving innovation and reducing production time.
- Company: Wise is a global fintech revolutionising how money moves and is managed worldwide.
- Benefits: Enjoy a competitive salary, RSUs, and a flexible work environment.
- Why this job: Join a diverse team shaping the future of AI in finance with impactful projects.
- Qualifications: 6+ years as a Technical Product Manager with hands-on experience in data or ML products.
- Other info: Embrace a culture of empowerment and continuous learning in a dynamic tech landscape.
The predicted salary is between 74000 - 104000 £ per year.
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
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.
What will you be working on
Ship the AI platform that unlocks innovation:
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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
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Build and validate technical roadmaps using prototypes, SQL analytics, and hands-on experimentation with our stack (Sagemaker, MLflow, Ray, Bedrock)
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Define success metrics and implement dashboards that track everything from model performance to business impact
Balance speed with safety:
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Design governance frameworks that enable rapid experimentation while ensuring compliance – automating risk assessments and privacy checks
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Partner with security to implement model monitoring and access controls that protect customer data without blocking innovation
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Create cost optimization strategies backed by data, reducing ML infrastructure spend while scaling usage
Drive strategic technical decisions:
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Evaluate and select AI vendors through hands-on technical assessment and ROI analysis
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Work with engineering to define architecture that scales – from feature stores to multi-cloud inference
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Enable 10x more teams to use AI by building self-service tools, clear documentation, and reusable components
Qualifications
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!
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You have 6+ years of experience as a Technical product manager, with hands-on experience building data or ML products
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You can translate between the worlds of data science, engineering, compliance, and business stakeholders.
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You\’ve built things yourself – whether it\’s prototypes, internal tools, or production features.
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You\’re an exceptional communicator who can explain complex technical concepts to non-technical stakeholders
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You thrive in ambiguity and can structure complex problem spaces into clear, measurable outcomes.
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You have hands-on experience with data analysis tools (Python/pandas, Jupyter notebooks) and can independently analyze large datasets
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You have a track record of shipping technical products that balance user needs with platform constraints
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You understand ML workflows deeply – from data pipelines and feature engineering to model training and deployment
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You can read and understand code well enough to debug issues, suggest improvements, and contribute to technical discussions
Nice to have:
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Experience with modern ML stack (MLflow, Airflow, Sagemaker, Ray, Bedrock or similar)
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Hands-on experience with LLMs – prompt engineering, fine-tuning, or building RAG systems
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Knowledge of streaming data systems (Kafka, Flink)
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Experience with Kubernetes, Docker, and cloud infrastructure
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Previous experience building developer platforms or API products
Additional Information
What do we offer:
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Starting salary: £88,000-£118,000 + RSUs
Interested? Find out more:
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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 visitWise.Jobs .
Keep up to date with life at Wise by following us onLinkedIn andInstagram .
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Senior Product Manager - Machine Learning and AI employer: Productmanagers
Contact Detail:
Productmanagers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager - Machine Learning and AI
✨Tip Number 1
Familiarise yourself with Wise's mission and values. Understanding how they aim to revolutionise money management will help you align your answers during interviews and demonstrate your passion for their goals.
✨Tip Number 2
Get hands-on experience with the tools mentioned in the job description, such as Sagemaker, MLflow, and Ray. Being able to discuss your practical knowledge of these platforms will set you apart from other candidates.
✨Tip Number 3
Prepare to showcase your ability to bridge the gap between technical and non-technical stakeholders. Think of examples where you've successfully communicated complex ideas to diverse audiences, as this is crucial for the role.
✨Tip Number 4
Stay updated on the latest trends in AI and machine learning, especially in the fintech sector. Being knowledgeable about current developments will allow you to engage in meaningful discussions during interviews and show your commitment to continuous learning.
We think you need these skills to ace Senior Product Manager - Machine Learning and AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product management, particularly in machine learning and AI. Use specific examples of projects you've worked on that align with the responsibilities outlined in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background makes you a perfect fit for Wise. Mention specific tools and technologies you’ve worked with that are relevant to the role, such as Sagemaker or MLflow.
Showcase Your Technical Skills: Since this role requires hands-on experience, be sure to include any technical skills you possess, such as data analysis with Python or experience with cloud infrastructure. Provide examples of how you've used these skills in past roles.
Demonstrate Problem-Solving Abilities: Use your application to illustrate how you've tackled complex problems in previous positions. Discuss specific challenges you faced and the innovative solutions you implemented, especially in the context of AI and product management.
How to prepare for a job interview at Productmanagers
✨Showcase Your Technical Skills
As a Senior Product Manager in Machine Learning and AI, it's crucial to demonstrate your hands-on experience with data analysis tools and ML products. Be prepared to discuss specific projects where you've built prototypes or features, and how you navigated technical challenges.
✨Communicate Complex Concepts Clearly
You'll need to explain intricate technical ideas to non-technical stakeholders. Practice articulating your thoughts on ML workflows and data pipelines in a way that's easy to understand, ensuring you can bridge the gap between different teams.
✨Prepare for Problem-Solving Scenarios
Expect to face ambiguous situations during the interview. Be ready to showcase how you structure complex problems into clear, measurable outcomes. Think of examples where you've successfully navigated uncertainty and delivered results.
✨Understand the Company’s Mission and Values
Familiarise yourself with Wise's mission to make money management easier for everyone. Reflect on how your values align with theirs, and be prepared to discuss how you can contribute to their goal of driving AI adoption while maintaining security and compliance.
