Generative Ai Finance Jobs (NOW HIRING)

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
The Generative AI Platform Product team is building a scalable, next-generation platform that enables teams across the organization to develop, deploy, and govern generative AI-powered products. The team partners across engineering, product, data science, and all the business functions to deliver secure, reliable, and reusable generative AI capabilities that accelerate innovation and drive business value.
Visa is seeking a Product Analyst to help define, build, and scale our next-generation generative AI capabilities across the organization. This role sits at the intersection of product, data, and engineering and is ideal for someone with strong analytical skills, product instincts, and a passion for generative AI. You will focus on requirements definition, analysis, execution support, and platform adoption, while gaining hands-on exposure to how large-scale generative AI platforms are built, governed, and scaled across a global organization.
Responsibilities:

• Define the product roadmap and execution for generative AI platform and AI-powered experiences.
• Translate customer and stakeholder problems into clear product requirements, epics, and acceptance criteria for generative AI features and workflows.
• Analyze user behavior, product metrics, and LLM model performance to provide actionable insights, inform prioritization, and measure feature impact.
• Support prioritization of the product backlog using data, customer feedback, and business impact, ensuring a balance between quick wins and strategic bets.
• Conduct market and competitive research on generative AI tools, LLMs, and vendors to inform build vs. buy decisions and identify new opportunities.
• Collaborate closely with engineering and business partners to scope experiments, define MVPs, and guide features from ideation through launch.
• Help baseline product performance, define OKRs/KPIs for generative AI features, and track progress over time.
• Contribute to documentation (requirements, release notes, FAQs, run-books) to support stakeholders and enable smooth adoption of the generative AI platform.
• Partner with risk, security, and legal teams to ensure responsible AI, governance, and compliance requirements are embedded into product design.
• Support enablement efforts by helping create demos, training materials, and best-practice guides that drive AI literacy and adoption across the organization.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:2 or more years of relevant work experience with a Bachelor's Degree or at least 1 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD)Preferred Qualifications:
3 or more years of work experience and a Bachelors Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
2+ years of experience in business or technical product management with strong generative AI or AI/ML, Data Science background
Hands-on experience with prototyping, developing, and delivering generative AI solutions using APIs and simple code (e.g., Python), with the ability to build proofs of concept and demo technical platform capabilities.
Strong technical acumen and experience in AI platforms, AI/ML, Large Language Models (LLMs), evals and agentic systems.
Strong experience experimenting with generative AI tools and APIs (e.g., OpenAI, Anthropic, etc.) for prototypes, analyses, or side projects.
Experience in product management, with demonstrated ability to launch and manage new product releases being part of a matrixed organization in a highly technical
Strong technical acumen on AI platforms, AI/ML, models, public cloud deployments with the ability to build Proof of concepts and demo technical platform capabilities.
Understand of technical concept of data processing at scale on prem and cloud.
Experience in and/or significant exposure to the payments industry specifically within new applications for Artificial Intelligence and Machine Learning.
Proficiency with software development methodologies such as Agile and experience working with Scrum teams and matrixed organizations.
U.S. Applicants Only
The estimated salary range for this position is $110,700.00 to $ 171,800.00 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.