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

Visa’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 Opportunity

We are seeking a Senior Manager, Software Engineering to lead critical initiatives within Visa Account Attack Intelligence (VAAI)—a strategic platform within the Payment Fraud Disruption (PFD) organization, focused on protecting the global ecosystem from large-scale enumeration and account takeover attacks.

This is an AI-first engineering leadership role where you will:

Lead development of AI/ML-powered, real-time data platforms
Drive adoption of AI-augmented engineering practices
Scale teams building intelligent, global risk systems

You will play a key role in applying AI both to fraud detection platforms and to improving engineering productivity.

What You Will Do

Lead high-impact engineering teams building real-time, data-intensive risk platforms
Promote adoption of AI-assisted development workflows (e.g., Copilot, ChatGPT, Claude) to improve coding, testing, debugging, and documentation
Design and evolve real-time streaming and batch platforms integrated with AI/ML models for fraud detection and risk scoring
Provide hands-on technical leadership through architecture reviews and complex problem solving
Improve engineering velocity through automation and modern tooling across CI/CD and observability
Own end-to-end delivery from architecture through production
Ensure high availability, scalability, and operational excellence for mission-critical services
Collaborate with Product, Risk, Data Science, and Platform teams
Foster a culture of continuous learning, innovation, and engineering excellence

Core Responsibilities

Translate business requirements into scalable, high-performance architectures
Lead design and architecture reviews for real-time systems
Drive engineering best practices and productivity improvements
Mentor engineers in distributed systems, data engineering, and modern development practices
Build and retain high-performing global teams
Maintain hands-on capability in distributed and data-intensive systems

Why This Role

Opportunity to build AI-powered fraud and risk intelligence systems within the Payment Fraud Disruption organization
Lead transformation toward AI-augmented engineering practices
Work on real-time, mission-critical platforms at global scale
Combine technical leadership, people leadership, and platform innovation

Work Location

This 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.

Qualifications

Basic Qualifications:

12+ years of experience (or 10+ with advanced degree) in Computer Science or closely related field
Proven 3+ years of management experience leading high performing engineering teams while remaining hands-on
Strong experience building real-time or streaming data platforms
Deep understanding of distributed systems, data structures, and algorithms
Hands-on experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude or similar) for coding, debugging, testing, or documentation
Experience working in Agile environments
Proven ability to partner effectively with Product teams
Track record of improving engineering productivity, quality, and processes.

Preferred Qualifications

Experience building data-intensive or AI/ML-driven platforms, preferably in fraud, risk, or cybersecurity domains
Practical understanding of LLM and GenAI capabilities in engineering workflows
Experience integrating AI-assisted practices into development processes
Hands-on expertise in:
- Java or Python
- Apache Kafka, Spark, Hadoop, Hive
- MySQL, PostgreSQL
Proven experience leading distributed global teams
Ability to drive improvements in engineering velocity and system reliability
Strong communication and stakeholder management skills
Growth mindset with a strong focus on innovation

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.