Jobs at Visa
95,001 open positions
Visa is a global payments technology company that powers digital commerce for more than 200 million consumers in 200 countries. The firm reported $28.9 billion in revenue in 2023 and drives innovation in fraud detection, secure tokenization, and next‑generation mobile wallets.
Visa’s hiring roster spans software engineering, data science, product management, cybersecurity, cloud infrastructure, and fintech partnership roles. Engineers build real‑time transaction pipelines; data scientists uncover patterns in billions of payment events; product managers shape features that support banks and merchants worldwide.
Job Transparency’s Visa listings provide up‑to‑date salary ranges, employee sentiment metrics, and job‑specific perks. With this data you can benchmark against competitors, negotiate confidently, and target roles that match your career goals.
Director, Visa Consulting & Analytics, Merchant and Co-Brand Partners
Company: Visa
Location: Washington, DC
Posted Jan 23, 2025
Visa, a global leader in payments and technology, is seeking a Director for Visa Consulting and Analytics (VCA) in the Everyday Spend and Ecommerce/Marketplace segments. The role involves leading consulting engagements, driving strategic growth, and enhancing client profitability. The Director will manage key client relationships, develop merchant solutions, and contribute to VCA thought leadership. Essential functions include proactive engagement with Visa teams, leading consulting initiatives, and developing frameworks for addressing client challenges. The ideal candidate should have extensive experience in management consulting, strategy, analytics, or marketing, with a strong focus on impacting ROI. Excellent communication, storytelling, and presentation skills are required, along with a technology mindset and understanding of banking operations or payment schemes.
Senior Marketing Services Manager, SEE and Caucasus
Company: Visa
Location: Belgrade, Serbia
Posted Jan 23, 2025
Client Care Ops Consultant (Business Analyst)
Company: Visa
Location: Pasay, Philippines
Posted Jan 23, 2025
Machine Learning Engineer - Sr Consultant - Cloud AI Platform
Company: Visa
Location: Austin, TX
Posted Jan 23, 2025
Visa is seeking a Senior Consultant level ML Engineer to extend their AI as a Service platform to the Public Cloud. The ideal candidate should have a strong background in public cloud and AI/ML production systems, with expertise in AWS and GCP services. They should be a hands-on tech leader with leadership skills, knowledge of cloud technologies, and experience in delivering robust and scalable solutions on public cloud platforms. The role involves collaborating with project team members, driving development efforts, and coaching junior team members. It's a hybrid position requiring 50% or more office time, with travel requirements of 5-10%.
Staff Data Engineer (7-10 years, Java, Spring, Hadoop, Spark, Kafka)
Company: Visa
Location: Bangalore, India
Posted Jan 23, 2025
Compliance Analyst, Client Due Diligence
Company: Visa
Location: Pasay, Philippines
Posted Jan 23, 2025
Lead System Architect (AI/Machine Learning) (Hybrid/Onsite)
Company: Visa
Location: Foster City, CA
Posted Jan 23, 2025
The job position requires varying work hours based on department needs, with 5-10% travel. It involves office work, including sitting, standing, and using standard office equipment. The company, Visa, is an EEO employer, considering applicants without discrimination. The estimated salary range is between 178,400.00 to 258,750.00 USD per year, with potential for bonuses and equity. A comprehensive benefits package is offered.
Senior Machine Learning Engineer - Cloud AI Platform
Company: Visa
Location: Austin, TX
Posted Jan 23, 2025
Visa, a global leader in payments and technology, is seeking a Sr. ML Engineer – Cloud AI Platform. The role involves extending the AI as a Service platform to various environments, enhancing existing codebase, and developing new solutions. The ideal candidate should have a strong background in public cloud, multi-cloud, on-premises, and AI/ML production systems. This hybrid position offers opportunities for learning and growth, and the chance to make a significant impact in the AI and payment space. Basic qualifications include 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree, development experience in Python, and hands-on experience with model inference engines. Preferred qualifications include experience with Go, Rust, Java, Kubernetes, Flink, SQS, Kafka, and large scale distributed high performance systems.