Unleash your leadership and product vision to drive the next generation of intelligent financial Payments Sales experiences. By applying modern product practices, advanced analytics, and emerging agentic AI capabilities, you will help shape how global banking clients and sales teams operate with greater speed, insight, and scale. Join one of the world’s most innovative financial organizations and lead the evolution of Payments Sales experiences through responsible, data‑driven, and AI‑enabled solutions.
As a Vice President of Product Management in the Global Banking – Payments Sales Experience Product Team, you will own the strategic direction, execution, and long‑term evolution of a critical product portfolio. You will lead multidisciplinary teams to design, launch, and scale intelligent products that leverage automation, analytics, and agentic AI. Partnering closely with senior stakeholders across business, design, data science, and engineering, you will translate customer needs and firm strategy into a cohesive product roadmap that delivers measurable outcomes and modern, intuitive user experiences.
Job responsibilities
- Sets product vision and strategy for Payments Sales experiences, leveraging agentic AI, analytics, and automation to drive differentiation, scale, and business impact.
- Partners with Quad leadership—Design, Product, Data, and Technology—to identify, prioritize, and fund high‑value product opportunities aligned to customer needs, market evolution, and firm strategy.
- Owns end‑to‑end product accountability, considering upstream and downstream impacts across data, compliance, risk, and operations.
- Leads product discovery and insight generation through user research, journey mapping, experimentation, and market analysis to inform a forward‑looking, AI‑enabled roadmap.
- Establishes and monitors product success metrics (adoption, automation, cycle time, revenue enablement, operational efficiency) and uses insights to guide prioritization and investment decisions.
- Drives execution excellence, ensuring clear problem definition and close partnership with engineering, data science, and design teams.
- Champions responsible AI practices, including governance, risk management, and transparency, as capabilities mature and scale.
- Develops and mentors product managers, setting high standards for product thinking, analytical rigor, and stakeholder communication.
- Serves as a senior, executive‑facing product leader, communicating strategy, progress, risks, and outcomes with clarity and credibility.
Required qualifications, capabilities, and skills
- 5-8+ years of experience in product management or closely related roles, with increased scope and accountability for complex, enterprise‑scale products.
- Strong command of the product development life cycle, including strategy, discovery, delivery, and optimization within large, regulated, or data‑intensive environments.
- Experience leading cross‑functional teams and influencing senior stakeholders across product, engineering, data, UX, and business functions.
- Applied familiarity with AI, analytics, or automation‑enabled products, with the ability to translate emerging capabilities into practical, customer‑ and business‑focused solutions (deep technical expertise not required).
- Demonstrated ability to define success metrics, evaluate business impact, and make data‑informed tradeoffs.
- Understanding of operating in managed‑risk or regulated environments, including partnership with legal, compliance, and control functions.
- Strong executive communication and coaching skills, with the ability to guide teams through ambiguity and evolving technology landscapes.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Global Investment Banking supports a broad range of corporations, institutions and governments by providing strategic advice, capital raising and risk management expertise.
JPMorganChase San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
.png)
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
