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Salary
$169k – $271k per year
Location
Remote/Hybrid (San Francisco, United States)
Seniority
Senior · 9+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Pismo provides cloud-native core banking and card processing infrastructure. Its platform runs accounts, cards and payments for banks worldwide. The company was acquired by a global payments network.

About Us

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.

Job Description

Job Summary:

As a Senior Product Manager for Visa Device Intelligence, you will help 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.

A strong candidate should have hands-on experience with device fingerprinting technologies, including device attributes, browser and mobile signals, network and behavioral signals, probabilistic and deterministic device recognition, model performance, signal quality, privacy considerations, and fraud and risk use cases. The ideal candidate will also have experience leading data-driven product discovery, launching technical products, and translating complex data science and machine learning concepts into scalable product capabilities.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

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.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic 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

Preferred 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
  • 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.Experienc
  • e 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.

Information for US Applicants

For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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 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.
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