Senior 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

We are seeking a Senior Manager, Product Management to own the roadmap and delivery of our core AI/ML platform services and to lead the planning and execution of migrating these workloads to a modern, cloud-native foundation — the backbone that every AI/ML team at Visa builds on. This is an individual contributor role reporting to the Director of Product Management, AI/ML Products.

Essential Functions

• Drive conceptualization, prototyping, and launch of AI-powered solutions at the intersection of payments and technology
• Build business cases for new AI/ML capabilities and continuously evolve platform features to meet practitioner needs
• Partner with business units, product, and Eng teams to ensure alignment and flawless execution
• Monitor market trends, competitive dynamics, and clients' needs to guide platform evolution and long-term planning
• Advocate for exceptional customer experiences powered by advanced AI capabilities
• Define detailed platform requirements, acceptance criteria, and success metrics (e.g., SLAs, operational KPIs)
• Apply Hands-on expertise in designing cloud-native AIML solutions and enterprise-scale applications on the cloud
• Lead backlog grooming and facilitate collaboration across product, Eng and data science teams
• Ensure platform capabilities meet compliance, model risk management, and onboarding requirements
• Ensure development and delivery adherence to timelines, quality standards, and strategic objectives

Qualifications

• Basic Qualifications: 8 or more years of relevant work experience with a bachelor's degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
• PREFERRED Qualifications: 9 or more years of relevant work experience with a bachelor's degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
• Bachelor's or advanced degree in Computer Science, Engineering, Data Science, or related technical field
• Demonstrated experience as a platform or technical product manager delivering AI/ML, data, or developer-platform/infrastructure capabilities as an individual contributor, leading cross-functional workstreams
• Hands-on experience planning and executing the transformation of AI/ML, data, or large-scale application workloads to cloud-native architectures on AWS, Databricks — with a strong grasp of scalability, elasticity, reliability, and cloud cost optimization
• Proven ownership of AI/ ML production platform management— SLAs, observability, capacity planning, and lifecycle management — for systems that internal teams depend on
• Strong working knowledge of Cloud and MLOps frameworks, CI/CD for ML, and containerization and orchestration, along with model governance and lifecycle management
• Practical understanding of responsible AI principles and how governance, evaluation, and data privacy are operationalized in a platform
• Familiarity with the payments, fraud, risk, or broader financial services domain, including the regulatory compliance and data privacy considerations that shape AI/ML platforms
• Proven ability to influence and partner across a highly matrixed organization, aligning business, product, and technology stakeholders without formal authority
• Excellent written and verbal communication skills, with the ability to translate complex technical concepts into clear trade-offs and decisions for both engineers and senior leaders
• Proficiency with Agile delivery and tooling such as JIRA, Claude Code, Codex, and a track record of maintaining a healthy, well-prioritized backlog
• Experience in identifying, assessing, and managing tradeoffs in product development, build vs buy tech decisions