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About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
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As a Technical Product Manager on the AI Agents Platform, you will join the team to build a foundational developer platform for designing, building, testing, registering, deploying, monitoring, and operating AI agents at enterprise scale. You will own the Agent SDK and the Model Context Protocol (MCP) SDK, managing the product backlog for the institutional SDK line across Java, Python, and Go. Your daily work involves driving the end-to-end developer experience through starter kits, scaffolding, and documentation while ensuring standards-based interoperability with external frameworks using open protocols like MCP and agent-to-agent (A2A). You will translate customer feedback into prioritized requirements, manage scrum team execution, and oversee the agentic runtime to provide a governed, high-quality path for engineers to build and scale agentic experiences.
Develop and execute the product strategy and vision for the Agent SDK and MCP SDK.
Own and maintain the product backlog for the SDK line across Java, Python, and Go.
Improve the developer experience by providing starter kits, scaffolding, documentation, and self-service tooling.
Manage the MCP SDK roadmap, including low-code publishing paths and template libraries.
Drive standards-based interoperability with external frameworks and provide migration tools for existing agents.
Translate customer feedback from Forward Deployed Engineering into prioritized SDK requirements.
Track key success metrics including adoption, reliability, developer satisfaction, and registration-to-deployment conversion.
Plan and prioritize the backlog for supporting scrum teams to ensure end-to-end delivery.
What we're looking for
5+ years of experience or equivalent expertise in AI product management or a relevant domain area.
Advanced knowledge of the Agent development life cycle, 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 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.
Familiarity with evaluating and instrumenting AI systems 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, strategic thinking, and excellent written and oral communication skills.
Product Development Life Cycle
Data Analytics
Product Roadmap
Product Backlog
AI
Personalization Engines
Market Research
Requirements Definition
Stakeholder Management
Product Strategy
Discovery
Value Management