Senior Product Manager - Machine Learning and AI

Location: Global

Team: General

About the Role

Join Wise's Machine Learning and Generative AI Platform teams at the forefront of our AI transformation. We're building foundational tools that empower the entire organization to harness AI safely and effectively. As a Senior Technical Product Manager, you'll prototype solutions, analyze complex datasets, and collaborate closely with engineering to ship platforms reducing time-to-production from weeks to days. Navigate the fast-evolving GenAI landscape, balancing innovation with security, privacy, and compliance in a global fintech environment. Your role involves driving AI adoption through data-backed roadmaps, governance frameworks, and self-service tools using stacks like Sagemaker, MLflow, Ray, and Bedrock. Define metrics, optimize costs, evaluate vendors, and scale architecture to enable 10x more teams. With 6+ years in technical PM and hands-on ML experience, thrive in ambiguity, translate technical concepts, and ship products that deliver real business impact. At Wise, teams are empowered to solve customer problems with flexible working, ownership, and a focus on diversity. Help build the future of money movement without borders.

Key Responsibilities

• Drive adoption of ML/GenAI infrastructure by identifying friction points through data analysis and shipping solutions that reduce time-to-production
• Build and validate technical roadmaps using prototypes, SQL analytics, and hands-on experimentation with stack (Sagemaker, MLflow, Ray, Bedrock)
• Define success metrics and implement dashboards tracking model performance to 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 without blocking innovation
• 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 10x more teams to use AI by building self-service tools, clear documentation, and reusable components

Required Qualifications

• 6+ years of experience as a Technical Product Manager, with hands-on experience building data or ML products
• Ability to translate between data science, engineering, compliance, and business stakeholders
• Experience building prototypes, internal tools, or production features
• Exceptional communicator who can explain complex technical concepts to non-technical stakeholders
• Thrives in ambiguity and structures complex problem spaces into clear, measurable outcomes
• Hands-on experience with data analysis tools (Python/pandas, Jupyter notebooks) and analyzing large datasets
• Track record of shipping technical products balancing 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, suggest improvements, and contribute to technical discussions

Preferred Qualifications

• 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

Required Skills

• Technical Product Management
• Machine Learning workflows
• Data analysis (Python/pandas, SQL)
• Prototyping and experimentation
• Stakeholder communication
• Governance and compliance
• ML platforms (Sagemaker, MLflow, Ray)
• Cost optimization
• Vendor evaluation
• Scalable architecture design

Benefits

• RSUs (stock options)
• Flexible working
• Parental leave
• Learning budget
• Paid sabbatical after 4 years
• Health insurance
• Company retreat
• Wise card

Wise is an equal opportunity employer committed to building a diverse workforce.