About UsVisa 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 DescriptionVisa’s Technology Organization is a community of innovators redefining the future of digital commerce. We operate one of the world’s most advanced payment networks—processing over 65,000 secure transactions per second across 80+ million merchants, 15,000 financial institutions, and billions of consumers globally.Within this ecosystem, the Payment Fraud Disruption (PFD) organization plays a critical role in securing the network through advanced data platforms, AI/ML, and real-time risk intelligence capabilities.The OpportunityWe are seeking a Senior Manager in Software Engineering to lead strategic engineering initiatives focused on developing innovative, scalable, and resilient platforms that strengthen fraud prevention capabilities and protect the global payments ecosystem.This is an AI-first engineering leadership role where you will:Lead development of AI/ML-powered, real-time data platformsDrive adoption of AI-augmented engineering practicesScale teams building intelligent, global risk systemsYou will play a key role in applying AI both to fraud detection platforms and to improving engineering productivity. What You Will DoLead high-impact engineering teams building real-time, data-intensive risk platformsPromote adoption of AI-assisted development workflows (e.g., Copilot, ChatGPT, Claude) to improve coding, testing, debugging, and documentationDesign and evolve real-time streaming and batch platforms integrated with AI/ML models for fraud detection and risk scoringProvide hands-on technical leadership through architecture reviews and complex problem solvingImprove engineering velocity through automation and modern tooling across CI/CD and observabilityOwn end-to-end delivery from architecture through productionEnsure high availability, scalability, and operational excellence for mission-critical servicesCollaborate with Product, Risk, Data Science, and Platform teamsFoster a culture of continuous learning, innovation, and engineering excellence Core ResponsibilitiesTranslate business requirements into scalable, high-performance architecturesLead design and architecture reviews for real-time systemsDrive engineering best practices and productivity improvementsMentor engineers in distributed systems, data engineering, and modern development practicesBuild and retain high-performing global teamsMaintain hands-on capability in distributed and data-intensive systems Why This RoleOpportunity to build AI-powered fraud and risk intelligence systems within the Payment Fraud Disruption organizationLead transformation toward AI-augmented engineering practicesWork on real-time, mission-critical platforms at global scaleCombine technical leadership, people leadership, and platform innovation Work LocationThis is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.QualificationsBasic Qualifications:12+ years of experience (or 10+ with advanced degree) in Computer Science or closely related fieldProven 3+ years of management experience leading high performing engineering teams while remaining hands-onStrong experience building real-time or streaming data platformsDeep understanding of distributed systems, data structures, and algorithmsHands-on experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude or similar) for coding, debugging, testing, or documentationExperience working in Agile environmentsProven ability to partner effectively with Product teamsTrack record of improving engineering productivity, quality, and processes.​Preferred QualificationsExperience building data-intensive or AI/ML-driven platforms, preferably in fraud, risk, or cybersecurity domainsPractical understanding of LLM and GenAI capabilities in engineering workflowsExperience integrating AI-assisted practices into development processesHands-on expertise in:Java or PythonApache Kafka, Spark, Hadoop, HiveMySQL, PostgreSQLProven experience leading distributed global teamsAbility to drive improvements in engineering velocity and system reliabilityStrong communication and stakeholder management skillsGrowth mindset with a strong focus on innovationVisa is an EEO EmployerQualified 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.