Product Manager (Product Strategy | Data & Integrations | Backlog Ownership | AI‑Enabled Product Thinking, B2B Payments / Fintech) (6-12 years)

📍 Job Overview

Job Title: Product Manager (Product Strategy | Data & Integrations | Backlog Ownership | AI‑Enabled Product Thinking, B2B Payments / Fintech)

Company: Visa

Location: Bengaluru, India

Job Type: FULL_TIME

Category: Product Management (Fintech Operations Focus)

Date Posted: 2026-06-15

Experience Level: 6-12 years (as per title, AI-derived experience 5-10 years)

Remote Status: Hybrid

🚀 Role Summary

• Champion the 'why' and 'what' of product development for Visa's VCS Data Solutions, focusing on B2B Payments and Fintech.

• Drive AI-enabled product thinking and strategy by leveraging data insights, market trends, and AI/ML concepts.

• Own and manage the product backlog, prioritizing features based on business objectives, client needs, and technical feasibility.

• Collaborate closely with engineering, UX, and data science teams to define, design, and deliver innovative data solutions.

• Monitor delivery progress, communicate risks, and ensure product outcomes align with strategic goals and value propositions.

📝 Enhancement Note: The job title specifies "6-12 years" of experience, while the AI-derived experience level is "5-10 years." This role is positioned as a Product Manager with significant autonomy and responsibility for a specific product domain, indicating a mid-to-senior level within product management, rather than an entry-level or junior position. The emphasis on "Backlog Ownership" and "AI-Enabled Product Thinking" suggests a strategic and execution-focused role within an operations-centric product area.

📈 Primary Responsibilities

• Collaborate with senior product leaders to understand and execute the product area vision and goals for VCS Data Solutions.

• Gather and synthesize customer needs through collaboration with sales, account management, support teams, market research, and AI-powered analytics.

• Translate high-level business requirements into detailed functional specifications and optimal technical solutions, evaluating AI and automation opportunities.

• Serve as the primary technical liaison for development teams, clarifying requirements, workflows, priorities, and acceptance criteria.

• Strategically manage and prioritize the product backlog, ensuring alignment with overall business objectives and the product roadmap.

• Contribute to annual and quarterly product planning cycles, defining priorities for the allocated product domain in close collaboration with Product leadership.

• Actively participate in the Scrum framework, collaborating with engineering teams on work planning and sequencing to ensure cohesive delivery.

• Maintain deep subject matter expertise within the assigned product domain, with a current understanding of AI and emerging technologies in Fintech.

• Contribute to product discovery phases, working with stakeholders to define target users, identify pain points, and ensure solutions meet product outcomes, utilizing AI-assisted research where applicable.

• Monitor feature delivery progress, proactively communicate risks to Product Management and Engineering leadership, and collaborate on mitigation strategies.

• Review and curate release notes and other product documentation to ensure accuracy and quality for their product domains.

• Act as the primary voice of Product within daily engineering dialogues and cross-functional team interactions.

📝 Enhancement Note: While the role is titled "Product Manager," the responsibilities heavily lean into operational execution, data integration, and the practical application of AI within established product lines. This suggests a need for strong analytical skills, process orientation, and the ability to bridge technical development with business and operational needs. The emphasis on "Data Solutions" and "B2B Payments / Fintech" implies a focus on data flows, integration capabilities, and the operational efficiencies these solutions enable for businesses.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in Computer Science, Engineering, Business, or a related field is typically expected for Product Management roles at this level. A Master's degree or MBA may be considered a plus.

Experience:

• 5+ years of experience in Fintech software product development.

• Proven experience working within agile development environments (Scrum, Kanban).

• Experience in cross-functional and empowered team settings.

• Demonstrated ability to understand and articulate product vision, strategy, and business requirements.

• Technical competence to communicate effectively with architects, UX designers, and development teams.

• Experience leading product demonstrations for internal stakeholders.

• Facilitation skills for conducting effective workshops and meetings.

• Experience managing external client/stakeholder relationships is a plus. Required Skills:

• Product Strategy & Roadmap Execution: Ability to contribute to product vision, strategy, and execute against an allocated product roadmap.

• Backlog Management & Prioritization: Expertise in managing, refining, and prioritizing product backlogs based on strategic objectives and business value.

• Fintech & B2B Payments Domain Knowledge: Solid understanding of the Fintech landscape, specifically B2B payments, corporate accounting practices, and cardable solutions.

• Agile & Scrum Methodologies: Deep understanding and practical experience working within agile frameworks and the Scrum process.

• Requirement Definition & Specification: Skill in translating business needs into clear, actionable technical requirements and acceptance criteria.

• Stakeholder Management & Communication: Ability to effectively communicate with diverse stakeholders, including engineering, UX, sales, and leadership.

• Data & AI-Enabled Product Thinking: Capacity to leverage data insights, market information, and AI/ML concepts to inform product decisions and feature development.

• Technical Acumen: Ability to engage in technical discussions with engineering and architectural teams.

Preferred Skills:

• Working understanding of AI/ML concepts and practical applications in product development.

• Experience with prototyping, data analytics, and AI-assisted tools for research, documentation, or rapid prototyping.

• A confident and engaging communication style.

• Deep understanding and empathy for client needs and commercial drivers.

• Ability to influence and lead people and teams.

• Curiosity and enthusiasm for leveraging AI to improve product outcomes and customer experience.

📝 Enhancement Note: The "What you will need" section implies a minimum of 5 years, while the job title suggests 6-12 years. This discrepancy highlights the need for candidates to assess their experience against both. The emphasis on AI and data integration points towards a need for candidates with analytical capabilities and an understanding of how technology drives operational efficiency in financial services.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies on Product Development Lifecycle: Showcase experience managing a product from ideation through delivery, highlighting problem identification, solution design, and outcome measurement.

• Examples of Backlog Management & Prioritization: Demonstrate how you have prioritized features, managed trade-offs, and communicated rationale to stakeholders and development teams.

• Data-Driven Decision-Making Artifacts: Present examples of how data analysis, market insights, or AI-driven research informed product strategy or feature development.

• Process Improvement Initiatives: Include examples where you identified inefficiencies in product development or operational processes and implemented solutions to improve them.

• Collaboration Artifacts: Showcase examples of cross-functional collaboration, such as workshop outputs, user story maps, or sprint review summaries.

Process Documentation:

• User Story & Requirement Documentation: Examples of well-defined user stories, acceptance criteria, and functional specifications for software features.

• Workflow Diagrams: Visual representations of user flows, system integrations, or operational processes that were designed or optimized.

• Product Roadmaps & Strategy Documents: Evidence of contributions to product roadmapping, strategic planning, and articulation of product vision.

• Release Notes & Product Documentation: Examples of clear and accurate documentation provided for product releases.

📝 Enhancement Note: For a Product Manager role, particularly in a Fintech/Payments context, demonstrating a portfolio that showcases strategic thinking, execution capabilities, and a data-informed approach is crucial. The emphasis on AI and integrations means candidates should highlight projects where these elements were central to the product's success. A strong portfolio should illustrate the candidate's ability to bridge technical feasibility with business value and operational impact.

💵 Compensation & Benefits

Salary Range:

For a Product Manager with 6-12 years of experience in Bengaluru, India, in a company like Visa, the estimated annual salary range would typically be between ₹25,00,000 and ₹50,00,000 (approximately $30,000 - $60,000 USD, depending on current exchange rates). This range can vary significantly based on the candidate's specific experience, skills, and the exact team's budget.

Benefits:

• Comprehensive health insurance (medical, dental, vision) for employees and dependents.

• Life and disability insurance coverage.

• Retirement savings plan (e.g., Provident Fund contributions).

• Paid time off, including vacation days, sick leave, and public holidays.

• Opportunities for professional development, training, and continuous learning.

• Access to Visa's global employee resource groups and networking opportunities.

• Potential for performance-based bonuses and stock options.

• Hybrid work model offering flexibility.

• Employee assistance programs for well-being. Working Hours:

The standard working hours are typically 40 hours per week. Given the hybrid nature of the role and the global operations of Visa, some flexibility may be required to accommodate meetings with teams in different time zones.

📝 Enhancement Note: Salary ranges are estimates based on industry benchmarks for Product Managers in Bengaluru with 6-12 years of experience, considering Visa's standing as a major multinational corporation. Actual compensation will depend on the candidate's profile and negotiation. Benefits are standard for large tech/financial services companies and are assumed to be competitive.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services, Payment Technology, Fintech. Visa operates at the intersection of technology and finance, enabling global digital payments and driving innovation in transaction processing.

Company Size: Visa is a global corporation with tens of thousands of employees worldwide. This large scale offers stability, extensive resources, and opportunities for global impact.

Founded: 1958. With a long history, Visa has established itself as a leader in the payments industry, continuously evolving with technological advancements.

Team Structure:

• The role is within the VCS Data Solutions team, part of the broader Global Card Products and Platforms.

• This team likely comprises Product Managers, Product Owners, Business Analysts, Data Scientists, Engineers, and UX Designers.

• Reporting structure will involve a Product Manager reporting to a Product Leader (e.g., Senior Product Manager, Director of Product) within the Data Solutions domain.

• Cross-functional collaboration is essential, working closely with engineering and other product teams across Visa. Methodology:

• Data-Driven Product Development: Decisions are informed by data analytics, market insights, and customer feedback, with an increasing focus on AI-powered insights.

• Agile & Lean Principles: Emphasis on iterative development, continuous feedback, and adaptability within the Scrum framework.

• Solution Design & Architecture: Focus on creating robust, scalable, and integrated solutions that fit within Visa's existing technology ecosystem.

• Customer-Centricity: Strong emphasis on understanding customer needs and delivering value through product features and services.

Company Website: https://www.visa.com/

📝 Enhancement Note: Visa's culture is typically characterized by a blend of innovation and stability, given its position as a global financial infrastructure provider. The emphasis on "uplifting everyone, everywhere" suggests a mission-driven approach. For operations-focused roles within product management, this likely translates to a focus on efficiency, reliability, and the scalability of solutions.

📈 Career & Growth Analysis

Operations Career Level: This role is a mid-to-senior level Product Manager position. It requires significant autonomy in managing a specific product domain, influencing strategy, and collaborating with engineering to deliver complex solutions. The expectation of "Backlog Ownership" and "AI-Enabled Product Thinking" signifies a role that goes beyond feature definition to strategic product shaping.

Reporting Structure: The Product Manager will report to a senior product leader within the VCS Data Solutions team. They will work closely with engineering teams, UX designers, data scientists, and potentially business stakeholders across different departments.

Operations Impact: The Product Manager in this role will have a direct impact on the efficiency, scalability, and innovation of Visa's B2B payment and data solutions. Their work will influence how businesses process transactions, leverage data, and integrate with Visa's platform, ultimately contributing to revenue generation and operational excellence for Visa and its clients.

Growth Opportunities:

• Specialization: Deepen expertise in AI-enabled product development, B2B payments, or data integration within the Fintech domain.

• Leadership Progression: Advance to Senior Product Manager, Group Product Manager, or Director roles within Visa's product organization.

• Cross-Functional Mobility: Opportunity to move into related roles in strategy, business operations, or program management within Visa.

• Skill Development: Continuous learning opportunities in AI/ML, advanced data analytics, and emerging Fintech trends through internal training and external resources.

• Global Exposure: Work on products that have a global reach and impact, collaborating with international teams.

📝 Enhancement Note: This role offers a solid foundation for a career in product management within the highly specialized and critical Fintech sector. The focus on data and AI suggests a forward-looking career path. Visa's size and structure provide clear avenues for advancement, both within product management and in related operational or strategic functions.

🌐 Work Environment

Office Type: This is a hybrid position, meaning the role requires a mix of in-office and remote work. The expectation for specific days in the office will be confirmed by the hiring manager.

Office Location(s): Bengaluru, India. This signifies a presence in a major technology and business hub in India, offering access to a strong talent pool and a vibrant ecosystem.

Workspace Context:

• Collaborative Environment: The hybrid model and emphasis on cross-functional teams suggest a dynamic workspace that balances focused individual work with collaborative sessions.

• Technology-Rich: As a leading payment technology company, Visa will provide access to modern tools, software, and infrastructure necessary for product development and data analysis.

• Team Interaction: Opportunities for regular interaction with product managers, engineers, designers, and data scientists, fostering a culture of shared learning and problem-solving.

Work Schedule: The standard working hours are 40 hours per week. The hybrid arrangement allows for some flexibility in managing personal and professional commitments, while also requiring dedicated time for in-office collaboration.

📝 Enhancement Note: The hybrid model is becoming standard in many tech roles. For this Product Manager position, it suggests a need for strong self-management and communication skills to ensure effective collaboration regardless of location. The Bengaluru office likely offers a modern workspace designed to support both focused work and team interactions.

📄 Application & Portfolio Review Process

Interview Process:

The interview process for a Product Manager role at Visa typically involves several stages:

1. Application Screening: Initial review of your resume and application to assess alignment with core requirements.

2. Recruiter Screen: A call with a recruiter to discuss your background, interest in the role, and basic qualifications.

3. Hiring Manager Interview: In-depth discussion about your experience, product philosophy, domain knowledge (Fintech, Payments, Data), and alignment with the team's needs. Expect questions on strategy, backlog management, and problem-solving.

4. Panel Interviews / Technical Interviews: This may involve interviews with peers, senior product managers, engineering leads, or UX designers. Expect questions focused on:

• Product Strategy & Vision: How you approach defining and communicating product vision.
• Backlog Management & Prioritization: Scenarios on managing competing priorities and making trade-offs.
• Technical Acumen & AI/ML: Discussing technical concepts, integrations, and the application of AI in product development.
• Cross-Functional Collaboration: How you work with engineering, design, and other teams.
• Problem-Solving & Analytical Skills: Case studies involving product challenges or data interpretation.

1. Final Round / Executive Interview: May involve discussions with senior leadership to assess leadership potential and strategic fit.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 impactful projects that best demonstrate your skills in product strategy, backlog ownership, AI integration, and

Fintech domain knowledge.

• Structure Case Studies: For each project, clearly outline:

  • The Problem: What was the user pain point or business challenge?
  • Your Role: Your specific responsibilities and contributions.
  • The Solution: The product or feature you helped develop, highlighting any AI/data elements.
  • The Process: Your approach to discovery, requirements, backlog management, and collaboration.
  • The Outcome: Quantifiable results (e.g., increased efficiency, revenue growth, adoption rates) and lessons learned.

• Showcase Data & AI: If possible, include examples where data analysis or AI/ML played a key role in informing decisions or enhancing the product.

• Highlight Collaboration: Demonstrate how you worked with engineering, UX, and other teams.

• Be Concise & Clear: Prepare a presentation that is easy to follow and directly addresses the requirements of this role.

Challenge Preparation:

• Product Design/Strategy Challenge: Be prepared for hypothetical scenarios asking you to design a new feature, improve an existing one, or define a strategy for a new product area within B2B Payments or Data Solutions.

• Backlog Prioritization Exercise: You might be given a list of features/initiatives and asked to prioritize them based on given criteria (e.g., business value, technical effort, strategic alignment).

• Technical Discussion: Practice articulating technical concepts and discussing architecture or integration challenges with engineers.

• AI Application Scenarios: Prepare to discuss how AI/ML could be applied to solve specific problems in Fintech or improve existing product functionalities.

📝 Enhancement Note: Visa's interview process is likely rigorous, reflecting its status. Candidates should prepare to articulate their thought process clearly, especially concerning strategic decisions, prioritization trade-offs, and the application of technology (particularly AI) to solve business problems and drive operational efficiency. A strong portfolio is essential for demonstrating practical experience.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Jira, Confluence, Aha!, Productboard (for backlog management, documentation, roadmap planning).

• Collaboration Suites: Microsoft Teams, Slack, Google Workspace (for daily communication and collaboration).

• Prototyping & Design Tools: Figma, Sketch, Adobe XD (for UX collaboration and visualizing product concepts).

Analytics & Reporting:

• Data Analysis Tools: SQL, Python (with libraries like Pandas, NumPy), R (for data manipulation and analysis).

• Business Intelligence Platforms: Tableau, Power BI, Looker (for creating dashboards and reports to track product performance and operational metrics).

• Web Analytics: Google Analytics, Adobe Analytics (if applicable to user-facing aspects of data solutions).

CRM & Automation:

• CRM Systems: Salesforce (likely used for sales and account management insights).

• API Integration Tools: Postman, Swagger (for understanding and working with APIs).

• AI/ML Platforms: While not explicitly named, experience with cloud-based AI/ML services (e.g., AWS SageMaker, Google AI Platform, Azure ML) or specific AI libraries is a plus.

📝 Enhancement Note: As a Product Manager in a data-centric role at Visa, proficiency with tools related to agile development, data analysis, and understanding of API integrations is critical. Familiarity with AI/ML tools and platforms is increasingly important, especially given the role's emphasis on "AI-Enabled Product Thinking."

👥 Team Culture & Values

Operations Values:

• Integrity and Trust: Upholding Visa's reputation for security, reliability, and ethical conduct in all product development and data handling.

• Customer Focus: Deeply understanding and addressing the needs of businesses, financial institutions, and end-users through effective payment and data solutions.

• Innovation: Driving continuous improvement and exploring new technologies, particularly AI and data analytics, to enhance product offerings and operational efficiency.

• Collaboration: Fostering strong partnerships across teams (Engineering, UX, Data Science, Sales, Marketing) to achieve shared product goals.

• Excellence: Striving for high quality, efficiency, and impactful outcomes in product delivery and operational processes.

Collaboration Style:

• Cross-Functional Integration: Expect a highly collaborative environment where Product Managers work hand-in-hand with engineering, design, and data science teams from ideation to delivery.

• Data-Informed Dialogue: Discussions are often grounded in data, market research, and strategic objectives.

• Agile Cadence: Regular participation in Scrum ceremonies (stand-ups, sprint planning, reviews, retrospectives) ensures continuous feedback and alignment.

• Open Communication: An environment that encourages open discussion of challenges, sharing of insights, and constructive feedback to drive product improvements.

📝 Enhancement Note: Visa's core values likely permeate all teams, emphasizing a commitment to security, innovation, and customer satisfaction. For this role, it means balancing the drive for new AI-enabled features with the stringent operational requirements of the payments industry.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Complex Systems: Understanding and integrating with Visa's vast and intricate global payment infrastructure.

• Balancing Innovation with Security/Compliance: Introducing new AI-driven features while adhering to strict financial regulations and security standards.

• Prioritization in a Large Organization: Managing stakeholder expectations and prioritizing a backlog with competing demands from various business units.

• Rapid Technological Evolution: Staying ahead of the curve with AI, data analytics, and Fintech advancements to ensure products remain competitive.

• Hybrid Work Environment: Ensuring effective communication and collaboration across distributed teams.

Learning & Development Opportunities:

• AI/ML Specialization: Access to training, workshops, and resources to deepen understanding of AI and ML applications in product management.

• Fintech Industry Insights: Opportunities to attend industry conferences, webinars, and internal knowledge-sharing sessions on B2B payments and financial technology trends.

• Product Management Best Practices: Continuous learning on modern product management methodologies, tools, and strategies.

• Leadership Development: Programs and mentorship designed to enhance leadership, influence, and strategic thinking skills.

• Cross-Functional Exposure: Opportunities to collaborate with and learn from experts in data science, engineering, security, and business strategy.

📝 Enhancement Note: The challenges presented are typical for a Product Manager in a large, innovative, and highly regulated company like Visa. The growth opportunities are robust, leveraging Visa's commitment to employee development and its position at the forefront of payment technology.

💡 Interview Preparation

Strategy Questions:

• "Describe your approach to defining the product strategy for a new AI-enabled data integration feature in B2B payments." (Focus on market analysis, customer segmentation, value proposition, and roadmap alignment).

• "How would you prioritize features on your product backlog if engineering capacity is limited and you have requests from sales, compliance, and product leadership?" (Emphasize frameworks like RICE, WSJF, or a custom scoring model, and how you communicate trade-offs).

• "Walk me through a time you used data or AI insights to significantly influence a product decision or improve an existing feature." (Prepare a STAR method answer showcasing your analytical process and impact).

• "How do you ensure technical feasibility and address architectural constraints when defining product requirements for complex systems?" (Discuss collaboration with architects, understanding of APIs, and iterative development). Company & Culture Questions:

• "What interests you most about Visa's role in the Fintech industry and specifically the VCS Data Solutions team?" (Research Visa's mission, recent product launches, and the importance of data in payments).

• "How do you approach building relationships and collaborating with engineering teams in a hybrid work environment?" (Highlight communication strategies, active listening, and proactive engagement).

• "Describe a time you had to influence stakeholders with differing opinions. How did you reach a consensus?" (Focus on empathy, data-driven arguments, and finding common ground).

• "How do you stay current with AI advancements and apply them to product management?" (Mention specific resources, tools, or personal learning habits). Portfolio Presentation Strategy:

• Start with the 'Why': Clearly articulate the business problem or user need for each case study.

• Define Your Role: Be precise about your contributions, especially in strategy, backlog management, and collaboration.

• Highlight AI/Data Impact: Explicitly call out where AI or data analysis drove key decisions or outcomes.

• Showcase Process: Briefly explain your approach to requirements gathering, backlog refinement, and working with engineering.

• Quantify Results: Use metrics to demonstrate the impact of your work (e.g., X% increase in efficiency, Y% reduction in errors, Z adoption rate).

• Tell a Story: Frame your case studies as narratives with a clear beginning, middle, and end.

📝 Enhancement Note: Preparation should focus on demonstrating a blend of strategic thinking, technical understanding, operational focus, and strong collaboration skills, all within the context of Fintech and AI. Be ready to discuss how you apply product management principles to drive efficiency and innovation in a complex operational environment.

📌 Application Steps

To apply for this Product Manager position:

• Submit your application through the provided link on the Visa careers portal.

• Tailor Your Resume: Customize your resume to highlight keywords and experiences directly relevant to the job description, especially "Product Strategy," "Data & Integrations," "Backlog Ownership," "AI-Enabled Product Thinking," "B2B Payments," "Fintech," and "Agile." Quantify achievements wherever possible.

• Develop Your Portfolio: Prepare 2-3 detailed case studies that showcase your experience in product development lifecycle, backlog management, data-driven decision-making, and collaboration. Focus on projects that involved AI, data integrations, or process improvements in a B2B or Fintech context.

• Practice Interview Responses: Rehearse answers to common product management interview questions, focusing on the STAR method for behavioral questions and preparing for product design/strategy scenarios. Practice articulating your thought process for prioritization and AI application.

• Research Visa & the Role: Understand Visa's mission, values, recent product announcements in the B2B/Fintech space, and the specific focus of VCS Data Solutions. This will help tailor your responses and demonstrate genuine interest.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.