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
Senior Product Manager – Post Purchase Data Integrations & AI
About the Role
The post purchase team at Visa is looking for a hands-on and strategic Product Manager / Product Builder to lead the development of our data integration platform and own our Dispute Management product which is part of our post purchase solutions. This role sits at the intersection of product strategy, data infrastructure, and AI-driven automation, and is critical to enabling scalable, reliable integrations across a diverse ecosystem of data sources. You will own high-impact product areas focused on post-purchase workflows, dispute lifecycle management, and integrations with external systems (issuers, acquirers, and partners). You will be able to work on both customers facing solutioning and articulate complex technical solutioning into simple and effective messaging.
You will define and execute the roadmap for how we ingest, normalize, and operationalize data—leveraging modern integration patterns and AI to improve speed, resilience, and intelligence.
This role requires someone who can think at the system level while also diving deep into execution details.
What You’ll Do:
Product Strategy & Ownership:
Define the vision and roadmap for data integrations across multiple internal and external data sources (APIs, PSPs, third-party platforms, etc.)
Identify opportunities to leverage AI/ML to automate integration workflows, schema mapping, anomaly detection, and data quality improvements
Balance long-term platform investments with near-term customer and business needs
Execution & Delivery
Work closely with engineering to design and deliver scalable, resilient integration frameworks
Drive end-to-end product development—from discovery and requirements to launch and iteration
Define integration standards, contracts, and best practices (e.g., versioning, schema evolution, monitoring)
AI-Driven Innovation:
Partner with data science / engineering to apply AI for:
Intelligent data mapping and transformation
Automated onboarding of new data sources
Error detection and self-healing pipelines
Bring a pragmatic approach to AI—focusing on real business impact, not hype
Experience in a product builder role with hands on Claude coding will be a huge plus.
Cross-Functional Leadership:
Collaborate with distributed teams across engineering, data, operations, and go-to-market
Communicate complex technical concepts clearly to both technical and non-technical stakeholders
Act as the connective tissue between product, engineering, and business teams
Data & Metrics:
Define success metrics for integrations (latency, reliability, coverage, cost, etc.)
Use data to prioritize roadmap decisions and continuously improve system performance
Build dashboards and insights to monitor integration health and usage
Why This Role Matters:
You’ll be building the foundation that enables the business to scale—turning fragmented data into a cohesive, intelligent system. Your work will directly impact speed of integration, quality of insights, and ability to innovate using AI.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
What We’re Looking For:
Core Product Skills:
10+ years of product management experience, ideally in platform, data, or API-driven products
Proven ability to operate both strategically and hands-on in complex technical domains
Strong product instincts with a bias toward action and ownership
Technical & Integration Expertise:
Deep understanding of data integrations, APIs, ETL/ELT pipelines, and distributed systems
Experience working with integration tools or frameworks (e.g., middleware, iPaaS, event-driven systems)
Familiarity with data formats and protocols (REST, webhooks, batch processing, streaming, etc.)
AI & Data Orientation:
Experience or strong interest in applying AI/ML to product problems, especially in data-heavy environments
Ability to identify where AI meaningfully improves integration efficiency or quality
Execution & Agency:
Highly proactive, high-agency operator who takes ownership and drives outcomes
Comfortable navigating ambiguity and building from 0→1 as well as scaling existing systems
Strong problem-solving skills with attention to detail
Communication & Collaboration:
Excellent verbal and written communication skills
Experience working with distributed/global teams
Ability to influence without authority and align stakeholders across functions
Nice to Have:
Experience in payments, fintech, or dispute management ecosystems
Familiarity with tools like Kafka, Snowflake, dbt, or similar
Background working with third-party integrations at scale (PSPs, marketplaces, SaaS platforms)
Domain experience in Dispute Management, Payments & working with merchants and banks
A background in Computer Science & Engineering is a huge plus
Product Sense and experience in enterprise products
Systems Integration experience & Understanding of third-party integrations
Experience with Claude Code & AI based agents is a huge plus
Fintech experience in payments and/ or dispute management is a plus
Experience in Acquiring Banks preferred but not a must have
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.
