You enjoy shaping the future of product innovation as a core leader, driving value for clients, guiding successful launches, and exceeding expectations.
You are joining the JPMorgan Payments Data & Analytics team at the start of something new. Our team is building an Agentic Treasury (AT) capability for our clients - a suite of AI agents that will automate and augment how corporate treasurers manage cash management, receivables, payables, cash flow forecasting, and working capital decisions. You will take us on a 0-1 journey from proof-of-concept to production-grade, client-ready systems, and you will own the product thinking that makes that happen. You will be embedded in the Payments ecosystem, working hand-in-hand with colleagues from functions like data science, engineering, design, legal, etc. You would help translate a complex, multi-stakeholder landscape into a coherent agent product that only JPMorgan can build.
As a Product Manager, Agentic Treasury- Payments Data & Analytics in our Payments business, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the client and developing profitable products that provide client value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed client expectations.
Job responsibilities
- Own end-to-end product management for the AT initiative - from Proof-of-Concept scoping and design through iterative build, internal validation, and eventual production-grade client delivery
- Define and maintain the AT product roadmap, translating organizational strategy, partner team inputs, and emerging agentic AI capabilities into a sequenced, prioritized backlog
- Partner deeply with internal Payments business lines to align on data availability, capability dependencies, API integration points, and go-to-market sequencing
- Lead cross-functional delivery across data science, engineering, design, legal, compliance, and risk - driving alignment on scope, acceptance criteria, and release readiness
- Define agent behavior specifications: what data each agent consumes, what decisions it makes or recommends, what human-in-the-loop checkpoints are required, and how performance is measured
- Own documentation rigor: product requirements, agent logic specs, partner integration playbooks, and decision logs that make complex interdependencies legible across a large organization
- Drive sprint-level execution using agile methodologies - backlog grooming, sprint planning, standup, and retrospective - keeping a distributed, multi-team effort on track
- Establish and track product KPIs across the AT agent suite: automation rates, exception volumes, STP improvement, time-to-resolution, and adoption metrics that demonstrate business impact
- Communicate product status, trade-offs, and strategic decisions clearly upward to senior leadership and laterally across partner teams
Required qualifications, capabilities, and skills
- 5+ years of product management experience in a complex, cross-functional environment - you have shipped products that required navigating multiple internal stakeholders with competing priorities
- Proven ability to move from ambiguous problem space to structured product definition - you have written the PRD when there was no template, and built the roadmap when there was no precedent
- Strong command of agile delivery: you have managed engineers, run sprints, unblocked teams, and made real prioritization calls under pressure
- Demonstrated experience working across organizational boundaries - business, technology, legal, risk, compliance - to get something built and launched
- Excellent written and verbal communication - you can write a crisp one-pager for a senior executive and turn around a detailed spec for an engineer
- Bachelor's degree in a quantitative, technical or business discipline
Preferred qualifications, capabilities, and skills
- Experience in financial services, payments, or enterprise treasury/fintech - familiarity with how corporate clients think about cash positioning, AR/AP workflows, and working capital
- Exposure to AI/ML product development – you have worked alongside data scientists, understand what "agentic" systems are, and have a point of view on what production-ready AI behavior looks like
- Familiarity with payment rails (ACH, RTP, FedNow, SWIFT, Fedwire) or treasury management platforms (Kyriba, ION, SAP TRM, FIS) from a product or implementation perspective
- Prior experience at a management consulting firm, fintech, or enterprise software company where ambiguity was the default condition
- Ability to engage technical depth - Python, SQL, or equivalent - sufficient to interrogate data, validate logic, and have credible conversations with engineering partners