Wise is looking for a Senior Principal Product Manager to build the technical platform that powers our Machine Learning and Generative AI initiatives. You will work across the organization to prototype solutions, analyze datasets, and shape the future of AI at Wise, balancing speed with safety and compliance.
What You'll Do
- Ship the AI platform that unlocks innovation by driving adoption of ML/GenAI infrastructure and reducing time-to-production.
- Build and validate technical roadmaps using prototypes, SQL analytics, and hands-on experimentation with the stack.
- Define success metrics and implement dashboards tracking model performance and business impact.
- Design governance frameworks enabling rapid experimentation while ensuring compliance, automating risk assessments and privacy checks.
- Partner with security to implement model monitoring and access controls protecting customer data.
- Create cost optimization strategies backed by data, reducing ML infrastructure spend while scaling usage.
- Evaluate and select AI vendors through hands-on technical assessment and ROI analysis.
- Work with engineering to define scalable architecture from feature stores to multi-cloud inference.
- Enable more teams to use AI by building self-service tools, clear documentation, and reusable components.
What We're Looking For
- 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.
- Experience building things yourself, whether prototypes, internal tools, or production features.
- Exceptional communicator who can explain complex technical concepts to non-technical stakeholders.
- Thrive in ambiguity and can structure complex problem spaces into clear, measurable outcomes.
- Hands-on experience with data analysis tools (Python/pandas, Jupyter notebooks) and can independently 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 well enough to debug issues, suggest improvements, 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.
Technical Stack
- Sagemaker, MLflow, Ray, Bedrock
- Python, pandas, Jupyter notebooks
- Kafka, Flink
- Kubernetes, Docker
Team & Environment
You will be part of Wise's Machine Learning and Generative AI Platform teams.
At Wise, teams are empowered to solve urgent and relevant problems for customers. We all share the responsibility of making Wise a success and empower Wisers to make decisions and take ownership. We are building an entirely new network for the world's money for everyone, everywhere. We're people building money without borders — without judgement or prejudice. We believe teams are strongest when they are diverse, equitable and inclusive, and we're proud to have a truly international team.
