This role pays more than
66%
of similar roles. Most pay
$177,250–$242,212
— the shaded band above.
At the midpoint, this role pays about
$220k
versus about
$210k
for comparable roles.
Based on 240 similar postings.
Employer
About Visa
Visa Inc. is the world''s largest payment network, enabling digital payments for consumers, merchants, financial institutions, and governments through its global processing network and branded card products. Industry: Payments Technology & Financial Services
Visa currently has
95 open roles
on FindRole.
Listed pay typically runs
$149,200–$238,700
across 90 roles with salary data.
Sr. Product Manager, Visa Device Intelligence joins the team to build device intelligence and risk decisioning products that protect the global payments ecosystem while enabling low-friction digital commerce. The role involves developing solutions using device signals, behavioral patterns, machine learning, and analytics to identify trusted devices, detect anomalous activity, and improve authorization outcomes. You will shape long-term strategy for device fingerprinting and fraud prevention while delivering a roadmap for risk signals. Key technical requirements include experience with browser and mobile signals, probabilistic and deterministic recognition, and data platforms, APIs, event streaming, and cloud systems. The candidate must be proficient in SQL to assess performance and translate complex machine learning concepts into scalable capabilities. This role addresses critical problems in fraud prevention, identity, and authentication within the digital payments and fintech domain.
What does a Product Manager earn in California?
Median $222000 from 147 postings across 35 companies.
Develop products using device signals and behavioral patterns to identify trusted devices and detect fraudulent activity.
Create solutions that improve authorization and authentication outcomes for merchants, issuers, and fintech partners.
Define the long-term strategy for device fingerprinting, risk signals, and fraud prevention capabilities.
Translate complex data science and machine learning concepts into scalable product features and requirements.
Manage the product roadmap to deliver technical capabilities in low-latency, high-availability environments.
Use SQL and analytics to evaluate performance, investigate trends, and validate hypotheses for roadmap decisions.
Ensure all products comply with security, privacy, and regulatory standards within the global payments ecosystem.
What we're looking for
Experience with a Bachelor Degree, with an Advanced Degree, or with a PhD.
Experience with a Bachelor Degree, with an Advanced Degree, or with a PhD (preferred).
5+ years of product management experience in data, risk, fraud, identity, authentication, cybersecurity, payments, or platform products (preferred).
Hands-on experience with device fingerprinting technologies including browser/mobile signals, network behavior, and privacy considerations (preferred).
Experience partnering with data science, machine learning, or analytics teams on models, risk scores, and performance measurement (preferred).
Ability to use SQL and analytics to assess performance, investigate trends, and guide roadmap decisions (preferred).
Strong technical knowledge of data platforms, APIs, event streaming, cloud systems, and backend architecture (preferred).
Experience in payments, digital identity, fraud prevention, or fintech is preferred.