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 / Revenue Operations Enabler

Date Posted: May 21, 2026

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• Drive product strategy and roadmap execution for Visa's Data Solutions within the B2B Payments and Fintech domain, leveraging AI-enabled product thinking.

• Own the product backlog, ensuring features align with strategic vision, market needs, and business objectives, particularly in data and integrations.

• Act as the primary liaison between product leadership, engineering teams, and stakeholders, championing the "why" and "what" of product development.

• Foster innovation by integrating AI/ML concepts and automation to enhance product capabilities, customer experience, and team productivity.

• Collaborate cross-functionally to deliver impactful payment solutions for businesses and public entities globally, ensuring technical feasibility and a strong value proposition.

📝 Enhancement Note: While the title is Product Manager, the responsibilities heavily lean into areas critical for Revenue Operations and Sales Operations enablement, particularly concerning data, integrations, and strategic product development that impacts GTM motions. The focus on B2B payments and Fintech implies a need for deep understanding of complex financial workflows and stakeholder needs, which directly translates to operational efficiency and revenue generation.

📈 Primary Responsibilities

• Collaborate with product leaders to define and communicate the vision, strategy, and goals for the Data Solutions product domain, ensuring alignment with market drivers and business objectives.

• Conduct customer research and leverage market insights, including AI-powered analytics, to identify pain points and inform the product backlog and solution designs.

• Translate high-level business requirements into detailed technical specifications, working with engineering and solution architects to define optimal, integrated solutions that fit within existing product architectures.

• Manage and prioritize the product backlog, ensuring clear acceptance criteria and alignment with overall strategy and business objectives, with a focus on data and integration features.

• Act as the primary point of contact for development teams, clarifying requirements, understanding workflows, and ensuring a cohesive vision throughout the development lifecycle within the scrum framework.

• Monitor feature delivery progress, proactively identify and communicate risks to product and engineering leadership, and collaborate on mitigation strategies.

• Contribute to product discovery, applying AI-assisted techniques to deepen customer insights and validate solution concepts with UX teams and other stakeholders.

• Review and curate release notes and other product documentation for accuracy and quality, ensuring clear communication of new features and capabilities.

• Stay abreast of strategic partner priorities and evolving AI and Fintech landscape to ensure product relevance and innovation.

• Drive cross-functional collaboration with teams such as Sales, Account Management, and Support to gather feedback and ensure successful product outcomes.

📝 Enhancement Note: The responsibilities emphasize a strong link to operational execution and enablement. The need to define requirements, manage backlogs, and ensure alignment with engineering directly supports sales and revenue operations by ensuring the tools and platforms they rely on are strategically developed and functional. The integration of AI and data solutions points to a forward-thinking approach that can drive efficiency and better insights for GTM teams.

🎓 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.

• Demonstrated experience working within agile environments, with a strong understanding of modern product development and design processes.

Required Skills:

• Product Strategy & Vision: Ability to clearly articulate product vision, strategy, and business requirements.

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

• Fintech & B2B Payments Domain Knowledge: Experience in Fintech, cards, payments, and/or corporate accounting practices is highly preferred.

• Agile Methodologies: Deep understanding of agile environments, including Scrum framework and its application in product development.

• Stakeholder Management: Proven ability to collaborate effectively with internal technical stakeholders and communicate with a wide range of individuals.

• Requirement Definition: Skill in translating business needs into clear, actionable requirements for engineering teams.

• Data & Integrations Focus: Understanding of data solutions and integration strategies within a product context.

• AI/ML Concepts: Technical competence and a working understanding of AI/ML concepts and their practical application in product development.

Preferred Skills:

• External Client Relationship Management: Experience managing relationships with external clients and stakeholders.

• Prototyping & Data Analytics: Proficiency with prototyping tools, data analytics platforms, and AI-assisted tools for research, documentation, or rapid prototyping.

• Influencing & Leadership: Ability to influence and lead people and teams, fostering a collaborative environment.

• Communication: Confident and engaging communication style, capable of leading product demos.

• Facilitation Skills: Ability to conduct effective workshops and meetings to drive consensus and outcomes.

• Commercial Acumen: Deep understanding and empathy for client needs and commercial drivers.

• AI Enthusiasm: Curiosity and enthusiasm for leveraging AI to improve product outcomes, team productivity, and customer experience.

📝 Enhancement Note: The experience requirement is stated as "5+ years," but the job title also includes "(6-12 years)". The enhancement note reflects this discrepancy, suggesting the primary requirement is 5+ years, with a broader range indicating potential for more senior candidates. The emphasis on AI, data, and integrations is crucial for operations roles, as these are key drivers of efficiency and effectiveness in GTM strategies.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Process Improvement Case Studies: Demonstrate experience in identifying inefficiencies, designing optimized workflows, and implementing solutions that led to measurable improvements in areas like data accuracy, integration speed, or reporting efficiency.

• Metrics and ROI Demonstration: Showcase how your product initiatives have impacted key business metrics, such as conversion rates, customer retention, operational cost reduction, or revenue growth. Quantify the return on investment for product features you've managed.

• System Implementation Standards: Provide examples of how you've contributed to the successful implementation or enhancement of systems, particularly those involving data pipelines, APIs, or integration platforms.

• Data-Driven Decision Making: Illustrate instances where data analysis, including AI-driven insights, informed product decisions, backlog prioritization, or solution design.

Process Documentation:

• Workflow Design & Optimization: Examples of documented workflows for product development processes, requirement gathering, backlog grooming, and feature prioritization, highlighting any optimization efforts.

• Implementation & Automation: Documentation related to the implementation of new product features or the automation of processes using AI or other technologies to improve efficiency.

• Measurement & Performance Analysis: Evidence of how you've established metrics and conducted performance analysis for product features, demonstrating an understanding of impact and areas for further improvement.

📝 Enhancement Note: For a Product Manager role with this focus, a portfolio demonstrating concrete examples of product development that directly enabled or improved operational processes (e.g., streamlining data flow for sales, enhancing integration capabilities for partners, providing better insights for revenue teams) would be highly valuable. This aligns with the "operations" aspect of enabling GTM functions through product.

💵 Compensation & Benefits

Salary Range: Based on location (Bengaluru, India), experience level (6-12 years), and the industry/company (Visa, Fintech), a competitive salary range for a Product Manager with this profile would likely fall between ₹25,00,000 to ₹50,00,000 per annum. This estimate is based on industry benchmarks for senior product management roles in India's technology and finance sectors, considering the specialized skills in Fintech, data, AI, and integrations.

Benefits:

• Comprehensive health insurance for employees and dependents.

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

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

• Opportunities for professional development, training, and certifications.

• Potential for performance-based bonuses and stock options.

• Employee Assistance Programs (EAP) for well-being support.

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

• Flexible work arrangements (Hybrid model).

Working Hours: Standard full-time hours are typically 40 hours per week. While the role is hybrid, specific in-office days will be confirmed by the hiring manager. Flexibility may be offered depending on project needs and team collaboration requirements.

📝 Enhancement Note: The salary range is an estimate based on publicly available data for similar roles in Bengaluru, India, considering Visa's standing as a major corporation in the Fintech space and the specified experience level. Actual compensation may vary based on individual qualifications, negotiation, and specific team budgets.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services / Payment Technology / Fintech. Visa operates at the intersection of technology and finance, facilitating global payment transactions and providing innovative digital solutions. This industry demands a high degree of security, reliability, and continuous innovation.

Company Size: Visa is a large, publicly traded corporation with tens of thousands of employees globally. This scale offers stability, extensive resources, and opportunities for impact across a vast network.

Founded: Visa was founded in 1958. Its long history and evolution signify deep expertise and adaptability in the financial services landscape, which informs its strategic approach to product development and market penetration.

Team Structure:

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

• This indicates a specialized focus on data-centric products within a larger product organization.

• Collaboration is expected with Product Management leadership, engineering teams, Data Scientists, UX designers, and potentially cross-functional GTM teams.

Methodology:

• Data-Driven Insights: Emphasis on leveraging data, including AI-powered analytics, to inform product strategy, backlog prioritization, and solution design.

• Agile Product Development: Adherence to agile frameworks (Scrum) for iterative development, planning, and delivery.

• Customer-Centric Design: Focus on understanding customer needs, pain points, and commercial drivers to ensure solutions deliver significant value.

• Cross-Functional Collaboration: A strong emphasis on working collaboratively across departments (Product, Engineering, Sales, Marketing, Legal) to achieve shared objectives.

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

📝 Enhancement Note: Visa's culture as a global leader in payments technology implies a commitment to innovation, security, and customer success. For operations roles, this means working within a structured yet forward-thinking environment where data integrity and seamless integration are paramount to enabling global transactions and business growth.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-to-senior level Product Manager (5-12 years of experience). It requires a blend of strategic thinking, tactical execution, and technical understanding, with a focus on product outcomes that enable business operations and revenue generation. The role demands ownership of a specific product domain and significant influence over its direction.

Reporting Structure: The Product Manager will report to Product Management leadership within the VCS Data Solutions team. They will work closely with engineering leadership and collaborate extensively with various internal stakeholders, including potentially Sales Operations, Revenue Operations, and Business Development teams.

Operations Impact: The Product Manager's work directly impacts Visa's ability to provide robust data solutions and integrations for B2B clients. Successful product development in this area can enhance GTM effectiveness by:

• Providing better data insights for sales and account management.

• Streamlining integration processes for partners and clients.

• Enabling new payment functionalities that drive revenue.

Growth Opportunities:

• Specialization: Deepen expertise within Data Solutions, AI-enabled product development, or specific Fintech product areas.

• Leadership: Progress to Senior Product Manager, Group Product Manager, or Director roles, managing larger product portfolios or teams.

• Cross-Functional Mobility: Opportunities to move into related roles within Product Strategy, Business Operations, or GTM strategy teams.

• Skill Development: Continuous learning in AI/ML, data analytics, agile methodologies, and emerging Fintech trends, often supported by company training programs and certifications.

• Global Exposure: Work on products with global reach, offering exposure to diverse markets and customer needs.

📝 Enhancement Note: The growth path for a Product Manager at Visa, especially in a domain like Data Solutions, is strong. The focus on AI and integrations positions individuals for future leadership roles in product and operations, as these areas are critical for modern GTM strategies.

🌐 Work Environment

Office Type: This is a hybrid position, meaning a blend of remote work and in-office presence. Visa likely offers modern office spaces designed for collaboration, innovation, and focused work.

Office Location(s): Bengaluru, India. This location is a major tech and business hub in India, offering access to a skilled talent pool and a vibrant ecosystem. Specific details about office amenities and accessibility for operations professionals would be available upon further inquiry.

Workspace Context:

• Collaborative Environment: Offices will likely feature collaborative spaces, meeting rooms, and areas designed for team interaction, supporting the hybrid work model and cross-functional project needs.

• Tools & Technology: Access to Visa's standard suite of productivity tools, communication platforms, and potentially specialized product development and data analytics software.

• Team Interaction: Opportunities for in-person collaboration with engineering teams, product leadership, and other stakeholders to foster strong working relationships and facilitate efficient problem-solving.

Work Schedule: The standard work schedule is typically 40 hours per week. The hybrid model allows for flexibility, balancing in-office collaboration days with remote work days, which can be beneficial for deep work and personal life integration. Specific scheduling details will be confirmed by the hiring manager.

📝 Enhancement Note: The hybrid nature of the role is a key factor for many operations professionals, offering a balance between collaboration and focused work. The emphasis on a collaborative office environment suggests that team dynamics and in-person problem-solving are valued.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will typically review applications and conduct an initial screening call to assess basic qualifications and fit.

• Hiring Manager Interview: A more in-depth discussion focusing on experience, product philosophy, and alignment with the role's core responsibilities.

• Technical/Product Rounds: Several interviews focusing on product strategy, backlog management, technical understanding (especially AI/ML and data/integrations), problem-solving, and agile practices. This may include case studies or hypothetical scenarios.

• Cross-Functional/Team Interviews: Meetings with potential peers, engineering leads, or stakeholders from other departments to assess collaboration skills and cultural fit.

• Presentation/Portfolio Review: Candidates may be asked to present a past product success, a solution to a hypothetical problem, or walk through their portfolio, demonstrating their impact and approach.

• Final Interview: Often with a senior leader or executive to discuss strategic alignment, leadership potential, and final fit.

Portfolio Review Tips:

• Focus on Impact: Showcase quantifiable achievements. Instead of just listing responsibilities, highlight outcomes achieved (e.g., "Increased conversion by X%," "Reduced processing time by Y hours," "Enabled Z new revenue streams").

• Process Improvement Narratives: For each project, clearly outline the problem, your proposed solution (including how you leveraged data, AI, or integrations), the process you followed, and the resulting impact.

• Data & AI Integration: Explicitly demonstrate how data analysis and AI concepts were applied to inform decisions or enhance product features.

• Collaboration & Stakeholder Management: Include examples of how you worked with diverse teams (engineering, sales, marketing) to achieve product goals.

• Conciseness and Clarity: Organize your portfolio logically. Use clear language and visuals where appropriate. Be prepared to discuss each item in detail.

Challenge Preparation:

• Product Strategy & Vision: Be ready to discuss how you would approach defining strategy for a new data solution or integration.

• Backlog Prioritization: Prepare to answer how you would prioritize competing features, especially when balancing technical debt, new feature requests, and strategic initiatives.

• AI/ML Application: Think about practical ways AI can be applied to Visa's B2B payment products to improve efficiency, customer experience, or data insights.

• Problem-Solving: Practice breaking down complex problems related to data, integrations, or payments, and proposing well-reasoned solutions.

• Agile & Scrum: Be prepared to discuss your experience with agile ceremonies and how you contribute to an effective scrum team.

📝 Enhancement Note: The emphasis on a portfolio and presentation suggests that demonstrating tangible results and the ability to articulate product strategy and impact is critical. For operational roles, this means being able to show how product initiatives directly supported or improved GTM functions.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: JIRA, Confluence, Aha!, Productboard (for backlog management, roadmapping, documentation, and collaboration).

• Agile Tools: JIRA, Azure DevOps (for sprint planning, task tracking, and workflow management).

• Prototyping Tools: Figma, Sketch, Adobe XD (for UX design and rapid prototyping).

• AI/ML Tools: While specific tools might not be listed, familiarity with platforms that support data analysis, model deployment, or AI-driven insights (e.g., Google AI Platform, AWS SageMaker, Python libraries like TensorFlow/PyTorch) would be advantageous.

Analytics & Reporting:

• Data Analytics Platforms: Tableau, Power BI, Looker, Google Analytics (for data visualization, dashboard creation, and performance analysis).

• SQL: Proficiency in querying databases for data extraction and analysis.

• AI-Powered Analytics: Tools or platforms that leverage AI to surface insights, predict trends, or automate analysis.

CRM & Automation:

• CRM Systems: Salesforce (or similar enterprise CRM) for understanding customer data, sales processes, and GTM workflows.

• Integration Platforms: Experience with APIs, middleware, or iPaaS solutions would be beneficial for understanding data flow and integrations.

• Workflow Automation Tools: Familiarity with tools that automate business processes, potentially leveraging AI.

📝 Enhancement Note: Proficiency with JIRA and Confluence is almost a given for product roles in agile environments. The emphasis on AI and data analytics tools suggests that candidates who can articulate their experience with these technologies will stand out, particularly in how they've used them to drive product outcomes that benefit operations.

👥 Team Culture & Values

Operations Values:

• Innovation & Continuous Improvement: A drive to constantly explore new technologies (like AI) and methodologies to enhance products and processes.

• Customer Centricity: A deep understanding of and commitment to meeting the needs of Visa's B2B clients and partners.

• Data-Driven Decision Making: Relying on data and analytics, including AI insights, to guide product strategy, prioritization, and execution.

• Collaboration & Teamwork: A strong emphasis on working effectively across diverse teams to achieve shared goals and deliver integrated solutions.

• Integrity & Excellence: Upholding the highest standards of quality, security, and reliability in all product development efforts.

Collaboration Style:

• Cross-Functional Integration: Expectation to work closely with engineering, product leadership, UX, data science, sales, and account management teams to ensure product alignment and successful adoption.

• Open Communication: Encouragement of transparent and direct communication, with regular feedback loops within the scrum framework and broader stakeholder interactions.

• Knowledge Sharing: A culture that values sharing insights, best practices, and lessons learned, particularly around AI applications and product development strategies.

• Process Optimization Focused: A shared goal of continuously refining development processes and product workflows to enhance efficiency and effectiveness.

📝 Enhancement Note: Visa's culture likely emphasizes professionalism, a global mindset, and a commitment to innovation. For operations professionals, this means understanding how product decisions are made with a focus on enabling seamless transactions and business growth for their clients.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Innovation with Legacy Systems: Integrating new AI capabilities and data solutions with existing, complex payment infrastructure while maintaining security and reliability.

• Cross-Functional Alignment: Ensuring consistent understanding and prioritization across diverse stakeholder groups with varying needs and perspectives.

• Rapidly Evolving Fintech Landscape: Keeping pace with technological advancements, regulatory changes, and competitive pressures in the dynamic Fintech and B2B payments space.

• Data Complexity & Governance: Managing large, complex datasets, ensuring data quality, and adhering to strict data privacy and governance standards.

Learning & Development Opportunities:

• AI & Machine Learning Specialization: Opportunities to deepen knowledge and practical application of AI/ML in product development through internal training, external courses, and project work.

• Fintech & Payments Expertise: Continuous learning about emerging trends, regulations, and best practices in the global payments industry.

• Leadership Development: Programs focused on enhancing leadership, influence, and strategic thinking skills for career advancement.

• Cross-Functional Exposure: Opportunities to gain broader business acumen by working with different departments and understanding their operational needs.

• Industry Conferences & Certifications: Support for attending relevant industry events and pursuing professional certifications in product management, agile, or AI.

📝 Enhancement Note: The challenges highlight the complexity of the Fintech and payments industry, requiring adaptability and a strong problem-solving mindset. The growth opportunities are aligned with developing expertise in cutting-edge areas like AI and data, which are increasingly vital for GTM operations.

💡 Interview Preparation

Strategy Questions:

• "Describe how you would approach defining a product strategy for a new AI-powered data insights tool for B2B payment clients." (Preparation: Focus on market research, customer segmentation, value proposition, competitive analysis, and OKRs.)

• "How would you prioritize features for a backlog that includes both new AI capabilities and critical integration enhancements for our payment platform?" (Preparation: Discuss prioritization frameworks like RICE, MoSCoW, or Weighted Scoring, balancing strategic value, user needs, and technical feasibility.)

Company & Culture Questions:

• "What interests you about Visa's work in B2B Payments and Data Solutions, particularly regarding AI?" (Preparation: Research Visa's recent innovations, financial reports, and public statements on AI and Fintech.)

• "How do you ensure your product decisions align with Visa's values of integrity and excellence, especially concerning data security and compliance?" (Preparation: Connect your past experiences with these values, highlighting your commitment to quality and ethical practices.)

Portfolio Presentation Strategy:

• Structure: Use a clear narrative: Problem -> Your Role/Approach -> Solution -> Outcome (Quantified).

• Data & AI Focus: For each relevant project, explicitly detail how data was used for insights or how AI was integrated into the solution.

• Operations Enablement: Highlight how your product initiatives improved efficiency, reduced costs, increased revenue, or streamlined processes for end-users or internal operations.

• Conciseness: Be prepared to present key projects within a limited timeframe (e.g., 10-15 minutes), with more detail available for Q&A.

• Engagement: Be enthusiastic, confident, and ready to answer detailed questions about your contributions and decision-making process.

📝 Enhancement Note: Preparing specific examples that demonstrate experience with AI, data, integrations, and their impact on business operations will be key. Candidates should be ready to articulate their thought process and quantify their achievements.

📌 Application Steps

To apply for this operations-enabling product management position:

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

• Portfolio Customization: Tailor your resume and, if applicable, your portfolio to highlight experience in Fintech, B2B payments, data solutions, integrations, and AI/ML applications. Quantify achievements wherever possible, focusing on business impact and process improvements.

• Resume Optimization: Ensure your resume clearly articulates your experience in agile environments, backlog management, cross-functional collaboration, and stakeholder management. Use keywords from the job description naturally.

• Interview Preparation: Practice answering common product management questions, focusing on strategy, execution, and problem-solving. Prepare specific examples using the STAR method, particularly those demonstrating your ability to drive product outcomes that support business operations and revenue.

• Company Research: Deeply research Visa's current initiatives in Fintech, B2B payments, and AI. Understand their market position, key competitors, and company values to demonstrate genuine interest and cultural fit during interviews.

⚠️ 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.

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