AI Agent Platform Product Lead

JPMorgan Chase & Co.; Washington (District of Columbia); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase seeks a Technical Product Manager to lead the AI Agents Platform, shaping an enterprise-grade developer platform for designing, building, testing, deploying and operating AI agents at scale. You own platform governance, lifecycle, identity, and security, delivering reusable components, runtimes, and governance as a service.

You will own ADLC capabilities across Agent Cloud, Managed Agents, Control Tower, Gateway, and identity, while partnering with Legal, Compliance and Risk to

Qualifications

• 5+ years of experience or equivalent expertise in AI product management or a relevant domain area.
• Advanced knowledge of the Agent development life cycle and Spec Driven Development, design, and data analytics.
• Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
• Demonstrated experience with, or a working understanding of, AI and agentic products or platforms, including foundational concepts such as LLMs and Harness.
• Hands-on experience using LLMs and AI-powered tools to drive personal and team productivity, with a strong instinct for where AI can be applied to solve problems.
• Familiarity with evaluating and instrumenting AI systems, including strong analytical skills to measure quality and performance for non-deterministic, agent-driven experiences.
• Proven track record of delivery and new product feature creation through agile product development and the software delivery life cycle.
• Strong stakeholder management and interpersonal skills, with strategic thinking, thought leadership, and the ability to influence and align cross-functional partners.
• A bias for action and comfort operating in ambiguity, with the initiative to move quickly in a dynamic, fast-evolving environment.
• Excellent written and oral communication skills.

Responsibilities

• Develop a product strategy and vision for the agent platform and governance services so lifecycle operation, identity, and control become platform capabilities rather than wheels each engineering team reinvents.
• Own, maintain, and develop a product backlog across ADLC, Agent Cloud, Managed Agents, the Control Tower, Gateway, Identity, and governance that supports the strategic roadmap and value proposition.
• Own the Agent Control Tower as the firmwide control plane, where every production agent carries a canonical identity, a lifecycle state, a policy status, and an operational status, and authorized operators can disable or kill, throttle, redirect, roll back, and revoke credentials.
• Deliver identity and delegation capabilities including multi-hop OBO downscoping, short-lived scoped credentials, and MCP and agent certification lifecycle.
• Own governance as a service, including the Agent Manifest and release graph, and the Agent and MCP System of Record, with automatic evidence capture targeting the vast majority of governance evidence at build time.
• Document the ADLC consistently across the SDK and other surfaces, and simplify Managed Agent onboarding during feasibility so governance steps enable adopters.
• Embed controls for model usage, tool invocation, data access, entitlements, logging, auditability, and human oversight directly into the developer and operator workflow so compliance is the path of least resistance.
• Build the framework and track key success metrics such as production conversion, operational overhead, governance automation rate, reliability, and control effectiveness.
• Own end-to-end delivery and execution, planning and prioritizing the backlog of supporting scrum teams.
• Partner with Legal, Compliance, Risk, Cybersecurity, Model Risk, and Data Governance to operationalize responsible AI and agentic AI requirements as product capabilities rather than manual gates.

Skills

AI product mgmt

Agent platform know-how

Agile development

Stakeholder mgmt

Strategic thinking

Leadership

Communication

Job description

JPMorganChase seeks a Technical Product Manager to lead the AI Agents Platform, shaping an enterprise-grade developer platform for designing, building, testing, deploying and operating AI agents at scale. You own platform governance, lifecycle, identity, and security, delivering reusable components, runtimes, and governance as a service.

You will own ADLC capabilities across Agent Cloud, Managed Agents, Control Tower, Gateway, and identity, while partnering with Legal, Compliance and Risk to