Product Manager

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.

The 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 is a cross-functional team of 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 an essential part of the world’s economy, as they play a key role in preventing fraud across the payment’s ecosystem, and generate high value to clients and consumers, all within milliseconds. Our AI/ML solutions generate hundreds of millions of dollars in revenue for Visa and protect billions of dollars of payments transactions.

You will build and enhance the AI/ML platform's core capabilities on prem and on cloud with focus on accelerating these capabilities and development of Visa's strategic flagship AI models for new revenue and payment ecosystem protection.

This role involves understanding the needs of data scientists and translating them into an efficient, robust platform that enables the building, testing, and deploying of models and features.

Essential Functions:

• Drive product requirement, roadmap planning, execution for new capabilities for the AIML Platform. Drive the model products onboarding and launched on the platform for various key use cases for Visa.
• Partner with technology closely to execute on AI/ML capabilities and technologies that drive product delivery of high-profile Visa AI products that form the strategic pillars of Visa.
• Ensure product requirements are designed with scalability and long‑term vision in mind.
• Conceptualize, develop and launch new products & 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 by hand on building proof of concepts.
• Work closely with internal and external product and partner teams to ensure alignment on goals/scope, plan critical path and operational risks, and ensure transparent communication.
• Synthesize requirements into a common set of platforms and services capabilities, writing very clear, thorough and detailed user stories for complex features and products and building demos.
• Liaise with other data science, product leaders, engineering and other applicable groups to ensure flawless execution. Provide status, action plans and recommendations to senior leadership on an ongoing basis.

Primary Responsibilities:

• Requirements Gathering:
  Work closely with data scientists, engineers, and other stakeholders to understand their needs and translate them into product requirements.
• Product Requirements:
  Develop detailed product requirements for platform capabilities and models to be deployed on the AI platform. This includes working closely with the engineering team to ensure the product is built to specification and meets the needs of our users.
• User Advocacy:
  Advocate for the needs of our users (data scientists) throughout the product development process.
• Acceptance:
  Actively lead the product acceptance with clear criteria defined which meets the product and end user needs. Ensure the final product meets user needs and enhances their ability to build, test, and deploy AI models.
• Product planning and execution:
  Execute on the product roadmaps for platform development and ownership to launch of the key models on the platform.
• Stakeholder Communication:
  Regularly communicate with stakeholders across the organization, including…