JPMorgan Chase & Co.
AI/LLM Product Manager - Senior Associate
- New York, New York
- Onsite
- full time
- $128k–$195k/year
- Posted 13 days ago
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About the role
Join us in building the next generation of AI and autonomous agents to solve
mission‑critical operational and banking productivity challenges at the scale of
the world’s largest bank. In this role, you’ll own AI use cases end‑to‑end—from
discovery and problem framing through requirements, delivery, and long‑term
reliability. You’ll design, build, and extend production-grade agentic systems,
partnering closely with data science, engineering, and business stakeholders.
Success means more than shipping: you’ll be accountable for performance, safety,
and day‑to‑day behavior once real bankers rely on these capabilities.
Key Responsibilities
* Define product requirements, features, and roadmap components for AI use
cases, translating business problems into agentic solutions and workflows.
* Lead end-to-end delivery from pilot through production, owning what the agent
does, what it is permitted to do, how it acts under uncertainty, and where
autonomy boundaries sit.
* Build and extend the agents and the net-new infrastructure they depend on:
the services, APIs, and integrations that surround the model and make the
system work.
* Drive model validation, performance monitoring, drift detection, and
iterative improvement, keeping behavior correct as you ship and extend.
* Manage backlog prioritization, sprint planning, and delivery tracking.
* Partner with stakeholders to identify opportunities for AI-driven efficiency
or revenue growth, and run user feedback sessions, folding insights into
product enhancements.
* Define success metrics and measure business impact, including reliability,
adoption, and reuse.
* Ensure alignment with data governance, compliance, and risk standards,
working across Engineering, Data Science, Controls, and the business.
Required Skills & Experience
* 3–6+ years in product management, data products, or technology delivery, or
equivalent expertise.
* Have shipped an LLM-powered, autonomous, or agentic system to production
* Demonstrated experience designing and running evals for such systems as
needed to meet product driven success criteria. You reason about
probabilistic behavior and drift, not deterministic pass or fail.
* Strong understanding of the AI/ML lifecycle (training, validation,
deployment, monitoring)
* Understanding of production-grade data judgment: what good data looks like,
where it degrades, pipeline stability, and how quality propagates into
behavior.
* Experience building net-new infrastructure and integrations, with the ability
to hold your own on architecture, APIs, and data pipelines.
* Experience working with cross-functional teams (Tech, Data Science,
Business), with strong communication and stakeholder-management skills.
* Comfort operating inside a large, regulated institution where governance and
controls are design inputs, not obstacles.
* Ability to ship AI-enabled products and lead complex programs in large,
matrixed organizations.
* Previous experience in commercial and investment banking a plus
Success Profile
Ownership mindset. Takes a use case from ambiguous problem to reliable
production system and stays accountable for how it behaves. Builds for an
institution, not a demo. Treats governance, auditability, and real constraints
as the interesting part of the problem, and knows the difference between a
weekend prototype and a system bankers depend on.
JPMorganChase, one of the oldest financial institutions, offers innovative
financial solutions to millions of consumers, small businesses and many of the
world’s most prominent corporate, institutional and government clients under the
J.P. Morgan and Chase brands. Our history spans over 200 years and today we are
a leader in investment banking, consumer and small business banking, commercial
banking, financial transaction processing and asset management.
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
[https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about
requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including
Disability/Veterans
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking,
markets, securities services and payments. Corporations, governments and
institutions throughout the world entrust us with their business in more than
100 countries. The Commercial & Investment Bank provides strategic advice,
raises capital, manages risk and extends liquidity in markets around the world.
Skills
- Product Management
- LLM
- Autonomous Agents
- Agentic Systems
- Model Validation
- Performance Monitoring
- Drift Detection
- API Design
- Data Pipelines
- Stakeholder Management
- Data Governance
- Risk Standards
- Sprint Planning
- Backlog Prioritization
- AI/ML Lifecycle
- Evaluation Frameworks
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