V

Visa

Runs a global network for digital payments

Director, AI Product Management - Global Marketing Services

Product ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 12 years of work experience with a Bachelor's degree, or at least 10 years of work experience with an Advanced Degree such as a Master's, MBA, or PhD.
  • Experience in AI product management, including owning a product backlog, writing requirements, and managing prioritization in an agile environment.
  • Hands-on experience with a range of AI tools and platforms and the ability to use AI to drive innovation, streamline operations, and deliver measurable business impact.
  • Experience defining and launching AI solutions, including AI agent specifications, intelligent automation, or AI-powered internal tools, from concept through production in partnership with Technology, Data Science, and Data Engineering teams.
  • Experience managing pilots and proof-of-concept programs, soliciting user feedback, iterating on solutions, and scaling successful pilots into enterprise-wide solutions.
  • Demonstrated success leading complex, cross-functional programs with measurable business impact in a global, matrixed organization.
  • Ability to translate complex AI, data, and technology concepts into clear product requirements, executive-level recommendations, and stakeholder communications.

Responsibilities

  • Own the internal AI product roadmap and use-case backlog, prioritizing opportunities across Marketing Services using a framework based on business impact, feasibility, and data readiness, and keeping the roadmap current as priorities, technology, and capacity evolve.
  • Co-lead workflow reimagination and future-state process design by creating or leveraging industry frameworks to guide business stakeholders in redesigning AI-enabled workflows, identifying where AI solutions and agents can improve quality or accelerate delivery, and converting opportunities into scoped products with clear success criteria.
  • Define agent specifications and minimum viable product scope, covering scope, target users, data needs, integration requirements, guardrails, and minimum viable product definitions; partner with Data Scientists and Data Engineers to validate data availability, quality, and pipeline requirements.
  • Translate business needs into product requirements, user stories, and acceptance criteria for Technology teams; manage backlog refinement and grooming; and bridge communication between business and technical teams to resolve ambiguity and maintain alignment.
  • Serve as business product owner during Technology sprint and build cycles by participating in sprint planning, backlog refinement, demos, and retrospectives; make prioritization decisions, provide timely feedback, and accept or reject deliverables against acceptance criteria.
  • Partner with Data Science and Data Engineering teams to identify and validate data requirements for AI solutions and agents and incorporate them into build plans.
  • Co-lead adoption measurement and continuous improvement by defining and tracking product success metrics, including adoption rates, user satisfaction, productivity impact, quality improvements, and business value delivered.
  • Partner with Legal, Risk, Privacy, Compliance, and Technology teams to ensure AI solutions and agents meet responsible AI, governance, regulatory, and Visa standards.
  • Work closely with Data Scientists, Data Engineers, Technology partners, business stakeholders, regional teams, Finance, Legal, Privacy, Risk, Compliance, and external vendors to ensure successful product design, development, deployment, measurement, governance, and adoption.

Desired Qualifications

  • 15 or more years of work experience with a Bachelor's degree, or at least 12 years of work experience with an Advanced Degree such as a Master's, MBA, or PhD.
  • Familiarity with data architecture, data pipelines, feature stores, and data foundations that support AI and machine learning solutions.
  • Experience with workflow analysis, process redesign, and translating operational inefficiencies into product-led solutions.
  • Familiarity with payments, banking, fintech, or card products.

About the Company

Visa

Runs a global network for digital payments

Visa runs a global payment network that connects banks, merchants and consumers so card purchases and money transfers move between financial institutions. Its VisaNet system handles authorization, clearing and settlement, linking the bank behind a buyer's card with the bank that accepts a merchant's payment. The company earns fees from payment activity, transaction processing and international transactions, and sells fraud prevention tools, payment software and consulting services to businesses. Banks and other partners issue Visa branded cards and use its technology to build their own payment products. Visa traces its roots to a Bank of America card program launched in 1958 and is headquartered in San Francisco.

Company size
10,001+
Company stage
N/A
Total funding
$24.2M
Headquarters
San Francisco, CA
Founded
1958

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