Visa
Staff Product Manager
Visa, Foster City, California, United States, 94420
Company Description
Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.
When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.
Join Visa: A Network Working for Everyone.Job Description
Visa is looking for an accomplished Staff Product Manager with a passion for innovating and shaping the next generation of payment fraud risk model products. This role will focus on bringing to market a new, exciting risk model product with global reach, compelling client experience, novel features, and strategic importance to Visa.
As an experienced product leader, the Staff Product Manager will work closely with Technology, Data Science, Cross-functional Products and Regional teams to prioritize, solution, develop and implement key product features and ultimately bring to market successful products.ResponsibilitiesProduct Strategy & Roadmap: Understand trends, competitive landscape, market and client needs to shape product roadmap and align strategic goals.Articulate and socialize product roadmap, product positioning, market differentiation, value proposition and benefits in ways that resonate with key audiences, use-cases and markets.Establish product requirements: define comprehensive and precise products requirements for key features which meet client and markets needs and work in conjunction with other Visa products and solutions.Conduct grooming sessions: Drive collaboration and in-depth understanding on product requirements with cross-functional product, data science and technology teams.Define acceptance criteria for requirements, participating and providing business input to the AI design and technology discussions.Define and monitor key product success metrics and operational targets.Define non-technical elements critical to product success, such as model risk management, onboarding experience, commercial enablement assets, pricing, branding, and GTM plans.Play an instrumental role in the Payment Fraud Risk Model Products team by providing thought leadership in overall strategy design, commercialization, and execution of Risk Model products.This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.QualificationsBasic Qualifications5 or more years of relevant work experience with a Bachelors 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 Qualifications6 or more years of work experience with a Bachelors 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.Product Management experience with Advanced Analytics products in payment technology or risk and fraud management.Experience and knowledge of Agile (Scrum) project methodology and practices. Proven record of accomplishment in fast-paced, agile environments with demanding timelines.Extensive experience in designing and taking products to market that use complex modelling techniques (inc. AI/ML).Experience in management and requirement provision for data science teams and technology teams focused on AI/ML.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.Ability to lead executive messaging.The successful execution of this role will be achieved through a combination of leadership, technology/product/AI-ML knowledge, innovation, passion for customers, and applied strategy, as well as a positive contribution to Visa’s rapidly expanding payments products and services offerings.Additional InformationWork 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 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 will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.U.S. APPLICANTS ONLY:
The estimated salary range for a new hire into this position is 132,300.00 to 172,000.00 USD, 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.
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Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.
When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.
Join Visa: A Network Working for Everyone.Job Description
Visa is looking for an accomplished Staff Product Manager with a passion for innovating and shaping the next generation of payment fraud risk model products. This role will focus on bringing to market a new, exciting risk model product with global reach, compelling client experience, novel features, and strategic importance to Visa.
As an experienced product leader, the Staff Product Manager will work closely with Technology, Data Science, Cross-functional Products and Regional teams to prioritize, solution, develop and implement key product features and ultimately bring to market successful products.ResponsibilitiesProduct Strategy & Roadmap: Understand trends, competitive landscape, market and client needs to shape product roadmap and align strategic goals.Articulate and socialize product roadmap, product positioning, market differentiation, value proposition and benefits in ways that resonate with key audiences, use-cases and markets.Establish product requirements: define comprehensive and precise products requirements for key features which meet client and markets needs and work in conjunction with other Visa products and solutions.Conduct grooming sessions: Drive collaboration and in-depth understanding on product requirements with cross-functional product, data science and technology teams.Define acceptance criteria for requirements, participating and providing business input to the AI design and technology discussions.Define and monitor key product success metrics and operational targets.Define non-technical elements critical to product success, such as model risk management, onboarding experience, commercial enablement assets, pricing, branding, and GTM plans.Play an instrumental role in the Payment Fraud Risk Model Products team by providing thought leadership in overall strategy design, commercialization, and execution of Risk Model products.This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.QualificationsBasic Qualifications5 or more years of relevant work experience with a Bachelors 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 Qualifications6 or more years of work experience with a Bachelors 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.Product Management experience with Advanced Analytics products in payment technology or risk and fraud management.Experience and knowledge of Agile (Scrum) project methodology and practices. Proven record of accomplishment in fast-paced, agile environments with demanding timelines.Extensive experience in designing and taking products to market that use complex modelling techniques (inc. AI/ML).Experience in management and requirement provision for data science teams and technology teams focused on AI/ML.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.Ability to lead executive messaging.The successful execution of this role will be achieved through a combination of leadership, technology/product/AI-ML knowledge, innovation, passion for customers, and applied strategy, as well as a positive contribution to Visa’s rapidly expanding payments products and services offerings.Additional InformationWork 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 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 will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.U.S. APPLICANTS ONLY:
The estimated salary range for a new hire into this position is 132,300.00 to 172,000.00 USD, 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.
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