Sr. 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. Visa will accept applications for this role until at least 08-05-2026 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 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  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 Basic Qualifications: • 5 or more years of relevant work experience with a Bachelors 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 Bachelors 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 • Product Management Experience in payments, fintech, or dispute management ecosystems • Understanding of Enterprise Systems and Integrations • Background working with third-party integrations at scale (PSPs, marketplaces, SaaS platforms) • Domain experience in Dispute Management, Payments & working with merchants and banks • Product thinking and strong understanding of business metrics • Robust competency in leading early-stage product development, design, and management across markets with high regulatory constraints. • Experience building products for enterprise leveraging AI models or AI augmented capabilities is a plus. Information for US Applicants For roles located in the US, the estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

• Basic Qualifications:
• 5 or more years of relevant work experience with a Bachelors 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