Product Manager, AI/ML Platform
Listed on 2026-02-07
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Company Overview
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, Visa is the best way to pay and be paid.
At Visa, you’ll have the opportunity to create impact at scale, tackle meaningful challenges, grow your skills, and see your contributions influence lives worldwide.
Progress starts with you.
Job DescriptionThe Artificial Intelligence and Machine Learning (AI/ML) Products & Platforms team is creating the next generation of scalable AI/ML, Data Innovations and products to solve client and consumer problems. This cross‑functional team includes AI & data scientists, AI/ML engineers, data engineers, product managers, and program managers focused on generating value for the payment’s ecosystem.
Visa’s AI/ML models and products are essential parts of the world's economy, preventing fraud across the payment ecosystem and generating high value for clients and consumers within milliseconds. Our AI/ML solutions produce hundreds of millions of dollars in revenue for Visa and protect billions of dollars of payment transactions.
This role builds and enhances the AI/ML platform's core capabilities on‑prem and in the cloud, accelerating development of Visa’s flagship AI models for new revenue streams and payment ecosystem protection.
The role involves understanding the needs of data scientists and translating them into a robust platform that enables building, testing, and deploying models and features.
Essential Functions- Drive product requirement, roadmap planning, and execution for new AI/ML platform capabilities; onboard and launch model products on the platform for key Visa use cases.
- Partner closely with technology teams to execute AI/ML capabilities and technologies that deliver high‑profile Visa AI products, forming strategic pillars.
- Ensure product requirements are designed with scalability and long‑term vision.
- Conceptualize, develop, and launch new products and experiences at the intersection of payments and technology in the AI space.
- Brainstorm with internal and external teams to develop ideas and potential solutions for co‑creation, building proofs of concept.
- Work closely with product and partner teams to align on goals, scope, critical path, operational risks, and maintain transparent communication.
- Synthesize requirements into a common set of platform and service capabilities, writing clear, thorough user stories for complex features, and building demos.
- Liaise with data science, product leaders, engineering, and other groups to ensure flawless execution; provide status, action plans, and recommendations to senior leadership.
- Requirements gathering—work with data scientists, engineers, and stakeholders to understand needs and translate them into product requirements.
- Develop detailed product requirements for platform capabilities and models to be deployed on the AI platform; collaborate with engineering to ensure specification compliance.
- Act as a user advocate, defending data scientists’ needs throughout product development.
- Lead product acceptance, defining clear criteria, ensuring final product meets user needs and enhances their ability to build, test, and deploy AI models.
- Execute on product roadmaps for platform development and key model launches.
- Communicate regularly with stakeholders across the organization, including senior leadership, to report progress and gather input.
- Strong interpersonal, leadership, verbal, and written communication skills to partner, influence, and instill confidence across functional teams.
- Strong technical, analytical, troubleshooting, and problem‑solving skills.
- Flexible and creative thinker who defines business trade‑offs.
- Strong quantitative skills with a data‑first mindset, using data and metrics to support assumptions, recommendations, and actions.
- Proven track record of success in fast‑paced environments with demanding timelines.
- Deep knowledge of industry‑standard AI and ML technologies to drive technology and…
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