Sr. Product Manager, Visa Device Intelligence
$169,100–$270,800 year
HybridSan Francisco, California, United States
Job Summary
Build device intelligence and risk decisioning products that protect the global payments ecosystem using device signals, behavioral patterns, and machine learning to detect anomalous activity and reduce fraud. Shape near- and long-term strategy for device fingerprinting, risk signals, and fraud prevention capabilities while delivering roadmaps that bring strategy to life. Partner with data science and analytics teams to translate complex models into scalable product capabilities, leveraging SQL and analytics to validate hypotheses and guide roadmap decisions. Lead product discovery and launch technical products with requirements for low latency, high availability, and regulatory compliance. This hybrid role requires at least three days in the office and 5-10% travel.
Required Qualifications
- 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
- 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
- Visa requires at least 3 days in office
- This position requires travel 5-10% of the time
- All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work
Desired Qualifications
- 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
- 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
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