Payments Connectivity-developer Experience & Portal Ecosystem Enablement-executive Director

JPMorgan Chase JPMorgan Chase · Banking · Chicago, IL +1 · Commercial & Investment Bank

This role focuses on shaping the external developer ecosystem for a payments connectivity platform, including APIs and file-based connectivity. A key aspect is the evolution towards Agentic/AI-assisted developer experiences, guiding developers through integration, testing, and production. The role requires defining the end-to-end developer journey, driving modernization of self-service tools, and partnering with engineering and data science to deliver LLM-powered features. Experience with LLMs, RAG, fine-tuning, and conversational AI is necessary for defining requirements and setting success metrics.

What you'd actually do

  1. Shape the long-term vision and strategy for our external developer portal and integration ecosystem across APIs and file-based connectivity (Host-to-Host).
  2. Define the end-to-end developer journey: how developers and integrators discover, evaluate, onboard, build, test, certify, launch, and operate solutions across our connectivity platform.
  3. Drive the evolution of the developer portal as both a self-service integration platform and commercial growth channel, improving visibility into developer engagement, onboarding progression, lead generation, and client conversion.
  4. Partner across product, engineering, client onboarding & service, identity, design, content, operations, and platform teams to deliver cohesive, intuitive integration experiences.
  5. Help shape next-generation AI-assisted and agentic developer experiences (e.g., guided integration, solutioning) with appropriate controls and guardrails.

Skills

Required

  • Senior leadership experience in product, platform, or developer ecosystem roles within fintech, enterprise platforms, payments, APIs, infrastructure, or developer tooling.
  • Deep understanding of modern developer experiences—including self-service platforms, onboarding flows, sandbox/testing models, documentation, and API ecosystems—and strong intuition for what makes developer platforms intuitive, reliable, scalable, and easy to integrate with.
  • Demonstrated experience with client-facing APIs and/or file-based integration models, including onboarding, testing, production readiness, operational support patterns, and strong working knowledge of common integration/platform patterns (e.g., identity/access, developer tooling).
  • Domain and platform expertise within commerce/merchant services, treasury, and/or payments.
  • Ability to operate effectively in highly interconnected product and technology environments with complex dependencies, and demonstrated ability to influence platform direction and drive alignment across diverse teams and stakeholders.
  • Experience partnering with engineering and data science to deliver AI/ML-powered product features from discovery through launch and iteration for internal and/or external users.
  • Working knowledge of LLMs and common implementation patterns (e.g., RAG, fine-tuning, prompt design/evaluation) sufficient to define requirements, assess feasibility, and set success metrics.
  • Exposure to shipping or operating LLM-enabled conversational experiences (chatbots/assistants/agents), including quality, safety, and performance considerations in production, plus curiosity around emerging platform trends, developer tooling, and AI-assisted workflows.

Nice to have

  • Strong communication and storytelling skills—able to articulate platform strategy to both technical and executive audiences.
  • Embed accessibility by design through working knowledge and application of ADA/WCAG across digital product requirements, delivery, and validation.

What the JD emphasized

  • Agentic/AI-assisted experiences
  • AI-assisted and agentic developer experiences
  • LLM-powered product features
  • LLMs
  • RAG
  • fine-tuning
  • prompt design/evaluation
  • LLM-enabled conversational experiences

Other signals

  • AI-assisted developer experiences
  • agentic developer experiences
  • LLM-powered product features
  • RAG
  • fine-tuning
  • prompt design/evaluation
  • LLM-enabled conversational experiences