AI Agent Platform PM — Reusable Building Blocks & Governance

JPMorgan Chase & Co.

Seattle (WA)

On-site

USD 140,000 - 200,000

Full time

5 days ago

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Job summary

JPMorganChase in Seattle seeks a technically seasoned Product Manager to drive the Agent Building Blocks platform, shaping reusable components and connectors for enterprise-grade AI agents. You’ll own strategy, backlog, and cross-team alignment to deliver scalable, governed capabilities that power many teams across the firm.

You’ll lead the lifecycle from discovery to deployment, prioritizing memory, harness, and connectors while partnering with data and engineering.

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 reusable agent building blocks, so teams compose governed, versioned components rather than rebuilding memory, runtime, and connectivity from scratch.
Own, maintain, and develop a product backlog across memory, harness, reusable agents, and top connectors that support the strategic roadmap and value proposition.
Engineer agentic memory as one governed memory-as-a-service platform with multiple constructs, including episodic and semantic recall with entitlement-aware scoping, enabled per use case.
Make the Harness the firm-grade runtime for long-running agents, and ship reusable agents as configurable templates on it rather than bespoke runtimes.
Drive reusable agents consolidation onto one platform, including a fine-tuned model in production and UI-based fine-tuning.
Execute the top-connector backlog, including connectors such as M365, ServiceNow, and Salesforce, and offer them to Directories as distributed, governed assets without duplicate builds.
Partner with data platform and engineering teams to deliver secure, governed access to structured, unstructured, analytical, and real-time data in line with firm data policy.
Build the framework and track key success metrics such as component reuse over bespoke builds, memory convergence, connector adoption, and reliability.
Capture the voice of the customer from lines of business and translate recurring needs into reusable components that serve many teams rather than one.
Own end-to-end delivery and execution, planning and prioritizing the backlog of supporting scrum teams.
Shape product strategy and vision as a thought leader who influences stakeholders across Technology, analytics, and the business and champions adoption of shared building blocks.