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About the Role

As a Senior Product Manager for Visa Device Intelligence, you will build device intelligence and risk decisioning products that protect the global payments ecosystem while enabling low-friction digital commerce. You will develop solutions using device signals, behavioral patterns, machine learning, and analytics to help Visa, issuers, merchants, fintechs, and partners identify trusted devices, detect anomalous activity, reduce fraud, and improve authorization and authentication outcomes. You will also help shape Visa’s near- and long-term strategy for device intelligence, device fingerprinting, risk signals, and fraud prevention capabilities, and deliver a roadmap that brings that strategy to life. This role sits at the intersection of product management, data science, platform capabilities, fraud risk, identity, and digital payments.

Responsibilities

Develop solutions using device signals, behavioral patterns, machine learning, and analytics.
Help shape Visa’s near- and long-term strategy for device intelligence, device fingerprinting, risk signals, and fraud prevention capabilities.
Deliver a roadmap that brings that strategy to life.

Requirements

8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
5+ years of product management experience in data, risk, fraud, identity, authentication, cybersecurity, payments, or platform products.
Hands-on experience with device fingerprinting, including device, browser, mobile, network, and behavioral signals; deterministic and probabilistic recognition; signal quality; privacy; and fraud/risk use cases.
Strong understanding of fraud use cases such as account takeover, card-not-present fraud, bot attacks, and suspicious device behavior.
Experience partnering with data science, machine learning, or analytics teams on models, risk scores, features, experiments, and performance measurement.
Ability to use SQL and analytics to assess performance, investigate trends, validate hypotheses, and guide roadmap decisions.
Strong technical knowledge of data platforms, APIs, event streaming, cloud systems, instrumentation, and backend architecture.
Experience building products at scale with requirements for low latency, high availability, data quality, security, privacy, and regulatory compliance.
Ability to turn ambiguous problems and complex data into clear product strategy, requirements, and measurable outcomes.
Excellent communication and stakeholder management skills; experience in payments, digital identity, fraud prevention, or fintech is preferred.
Digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Requires travel 5-10% of the time.
Must be able to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.

Skills

Device fingerprinting
Device attributes
Browser and mobile signals
Network and behavioral signals
Probabilistic and deterministic device recognition
Model performance
Signal quality
Privacy considerations
Fraud and risk use cases
Data-driven product discovery
Launching technical products
Translating complex data science and machine learning concepts
SQL
Analytics
Data platforms
APIs
Event streaming
Cloud systems
Instrumentation
Backend architecture
Low latency
High availability
Data quality
Security
Regulatory compliance
Generative AI tools
Communication
Stakeholder management

Location

Work Type

Hybrid
Office setting

Experience Level

Senior
8+ years relevant work experience with Bachelor's Degree
5+ years relevant work experience with Advanced Degree
2+ years relevant work experience with PhD
9+ years relevant work experience with Bachelor's Degree
7+ years relevant work experience with Advanced Degree
3+ years relevant work experience with PhD
5+ years product management experience

Education Level

Bachelor Degree
Advanced Degree (e.g. Masters, MBA, JD, MD)
PhD

Salary/Compensations

$169,100.00 - $270,800.00 USD per year
Potential sales incentive payments (if applicable)
May be eligible for bonus and equity

Benefits

Medical
Dental
Vision
401(k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness Program

About the Company

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.

Equal Opportunity

Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law, including the requirements of Article 49 of the San Francisco Police Code.