Sr. Product Manager Post Purchase at Visa

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

14 Aug, 26

Salary

0.0

Posted On

16 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Data Integration, API Design, AI/ML Implementation, Dispute Management, ETL/ELT Pipelines, Distributed Systems, Product Strategy, Roadmap Execution, Cross-Functional Leadership, Technical Solutioning, Data Normalization, System Architecture, Stakeholder Management, Agile Development, Enterprise Product Design

Industry

IT Services and IT Consulting

Description

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. If you thrive on rapid growth and enjoy working alongside positive, driven teammates, you’ll feel right at home here. Help us to uplift everyone, everywhere. Whether you’re starting your career, pushing your capabilities or are a seasoned professional, learn how we can partner to reimagine the world. Introduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match. At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Our evolving technology keeps us at the heart of the digital economy, connecting people to 80+ million businesses worldwide. Backed by a resilient, proven model, our expanding network fuels growth—for Visa and for your career. Your journey starts here — discover how we hire Ready to take the next step? Learn more about life at Visa, explore our hiring process and get first-hand insights by hearing directly from our recruiters about what to expect. Apply with confidence today! Learn our recruiting process

Responsibilities

Lead the development of a data integration platform and manage the Dispute Management product within Visa's post-purchase solutions. Define the product vision and roadmap for ingesting and operationalizing data using AI-driven automation and modern integration patterns.