Jobs
If you come from a product management background and are looking for an exciting opportunity, want to take a product from ideation all the way through to a live service, work with the best-in-field ML experts on contemporary AI methods, all while working directly with clients and keeping a focus on delivery – this is the role for you.
Economies around the globe are moving towards Real Time Payments (RTP), bringing substantial innovation and modernization to payments. There is an increasing demand for the provision of real-time payment services across every region of the world, adding trillions of dollars in payments volume globally on an annual basis. To drive successful adoption, RTP infrastructures are supported by value added services across the entire payments value chain and all use cases – this is where Visa comes in.
The product team is responsible for taking ideas through the entire product lifespan from concept to market, all while leveraging Visa’s global infrastructure, technology, and experience as a leader in global payments.
We are looking for a Product Manager to join Visa’s Payments Proposition team within Bank and Issuing Risk Solutions. This role focuses on building and scaling AI‑driven products that help financial institutions detect and prevent fraud and scams in real‑time payments.
You will take products from ideation through to live service, working closely with ML experts, engineers, regional sales teams, and clients to deliver commercially successful solutions at global scale.
What you will do
As a Product Manager, you will:
- Own the end‑to‑end product lifecycle for one or more real‑time payments fraud & scam prevention products, from concept through launch and scale
- Act as the voice of the customer, translating client, market, and regulatory needs into clear product requirements and priorities
- Define and drive product strategy and go‑to‑market plans for assigned regions, in close partnership with regional sales and market teams
- Work closely with data scientists, ML engineers, and technology teams to design and deliver AI‑driven capabilities
- Lead the rapid design, build, and deployment of new product features and services
- Support client engagements, including product pitches, demos, pilots, and live deployments
- Partner with commercial and delivery teams to activate markets, onboard clients, and ensure successful adoption
- Balance product vision, delivery, and commercial outcomes, ensuring solutions are scalable, compliant, and market‑ready
Why this role is exciting
- Work on real‑time payments, one of the fastest‑growing and most innovative areas in global payments
- Build cutting‑edge AI products using advanced machine learning techniques
- Operate in a front‑line product role, with direct exposure to clients and markets
- Be part of a strategic growth pillar for Visa globally
- Leverage Visa’s global infrastructure while working in an agile, product‑led team
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Basic Qualifications:
5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
Preferred Qualifications:
- 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
- 6+ years of relevant work experience with a bachelor’s degree.
- Strong background in commercialization, growth and go-to-market
- Preferred background in product management for advanced analytics products in Financial Services, encompassing client facing delivery experience.
- Experience working in Financial Crime and/or Payments within the Financial Services industry.
- Proven record of accomplishment of success in fast-paced, agile environments with demanding timelines.
- Experience in designing and taking products to market that use complex modelling techniques (inc. AI/ML).
- Passion for innovating and delivering truly differentiated products & user experiences.
- Excellent interpersonal skills with demonstrated ability to interface across levels, regions, cultures, and languages, and engage successfully with both specialist teams and broader business partners.
- Strong ability to consume complex data and information, develop insights and create impactful stories.
- Ability to contribute to strategic planning, drive change management.
- Ability to lead executive messaging.
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.
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.
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About Visa
Reviews
2.0
3 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.2
Career
1.8
Management
1.3
10%
Recommend to a Friend
Pros
Active recruiting for senior positions
Work authorization support for spouses
Opportunity to seek external roles
Cons
Toxic work environment
Below-market compensation offers
Poor management and leadership
Salary Ranges
23 data points
Junior/L3
Junior/L3 · Analyst, Product Management
1 reports
$147,658
total / year
Base
$128,398
Stock
-
Bonus
-
$147,658
$147,658
Interview Experience
4 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Online Assessment
3
Phone Screen
4
Technical Interview Rounds
5
Final Round Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
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