Job Description
Company Description
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you’ll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.
Progress starts with you.
Job Description
Visa’s Risk and Identity Solutions (RaIS) group delivers advanced fraud detection and prevention solutions, ensuring seamless, secure payment experiences. The Predictive Fraud Intelligence (PFI) team develops core AI/ML products within the Visa Protect suite, empowering clients to detect and prevent fraud throughout the payment lifecycle.
As fraud vectors have rapidly evolved, PFI has significantly expanded its product portfolio and reimagined its approach to building, deploying, and monitoring real-time, low-latency AI models.
We are seeking a Product Manager with deep AI/ML domain expertise and a strong point of view on the commercialization potential of emerging technologies. This role will lead strategy, roadmap, and execution for next generation of payments-focused foundation AI products, balancing technical understanding with market insight to deliver differentiated value to customers.
Responsibilities:
- Own product strategy and roadmap for AI/ML-based features and solutions, grounded in customer needs, competitive analysis, and technology trends.
- Evaluate commercialization opportunities by assessing market size, customer willingness-to-pay, technical feasibility, unit economics, and long-term defensibility.
- Translate complex AI/ML capabilities into clear product requirements, user stories, acceptance criteria, and functional specifications.
- Partner closely with data science, engineering, and research teams to scope, prioritize, and execute product initiatives.
- Define go-to-market strategy in partnership with marketing, sales, and customer success to position AI-powered products effectively.
- Measure product performance using KPIs such as adoption, model performance metrics, retention, and revenue contribution.
- Represent the product vision internally and externally, helping customers and stakeholders understand how AI solutions deliver business outcomes.
- Stay current on the AI/ML landscape, including foundation models, applied AI, tooling, infrastructure, regulatory shifts, and ethical considerations.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications
Background in ML engineering, data science, or a related technical field (professional experience or academic).
Strong understanding of machine learning fundamentals, model lifecycle, data workflows, and model evaluation metrics.
Demonstrated ability to identify and size commercialization opportunities and turn emerging technologies into viable products.
Strong grasp of Agile methodologies and proven success working in fast paced, iterative environments with cross-functional teams.
Excellent communication skills, with the ability to translate between technical and business audiences.
Data-driven mindset with experience defining KPIs and running experiments (A/B tests, user research, model impact analysis).
Experience launching AI features powered by LLMs, generative AI, predictive modeling, or ML Ops platforms.
Familiarity with responsible AI, model governance, compliance considerations, and risk frameworks.
Ability to build business cases, pricing strategies, and ROI models for AI/ML offerings.
Additional Information
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
