Product Manager

• About Us
• 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 seek a seasoned AI product Manager to drive platform capabilities and tooling, accelerating model development and supporting diverse client needs.

Visa is seeking a seasoned Product Manager with a keen interest in heavy tech platforms, deep understanding of ML development lifecycle & MLOps , and a strong passion for innovation. This role is pivotal in enhancing some of the fastest fraud detection models in the worl d. It is an opportunity to improve the end-to-end process, bring in continuous learning, keeping the m up to date to catch the latest fraud trends.

As a product leader, you will collaborate closely with Technology, Data Science, Cross-functional Product, and R egional teams to define priorities, craft solutions, and deliver key product capabilities.

Responsibilities:

• •Customer-Centric Product Vision : Understand customer needs and build empathy with technical users like data scientists and data engineers to define and evolve the product roadmap.
• •Data Ecosystem Leadership : Develop a deep understanding of the data lifecycle and drive strategic improvements across data sourcing, quality, and governance.
• •Model Optimization : Continuously enhance existing AI/ML models to improve fraud detection accuracy and performance.
• •GenAI Integration : Leverage generative AI to streamline model development, deployment, and monitoring processes.
• •Cross-Functional Collaboration : Partner closely with engineering, data science, and product teams across geographies to deliver scalable, impactful solutions.
• •Execution Excellence : Lead the delivery of complex, high-impact initiatives that transform the model development lifecycle and accelerate innovation.
• •The successful execution of this role will be achieved through a combination of leadership, technology/AI-ML knowledge, platform thinking, innovation, passion for customers, and applied strategy.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD

Preferred Qualifications:

• •6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• •5+ years of professional experience with a bachelor’s degree. 2+ years in product management, focused on platforms and/or data products.
• •Strong grasp of Agile methodologies and proven success in fast-paced, iterative environments.
• •Demonstrated ability to lead cross-functional AI/ML and data science teams.
• •Strategic thinker with sharp analytical and problem-solving skills.
• •Excellent communication and collaboration skills across global, diverse teams.
• •Understanding payments, fraud and authentication landscape and ability to translate product strategy into executable plans.
• •Experience in product management in payments, common services, and identity and access management.
• •Experience managing cross-functional teams in global, highly matrixed organizations.

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.