Director of Product Development / MCP Platform & Agent Ecosystem

In this role, you will own the strategy, vision, and roadmap for the company's Model Context Protocol (MCP) platform, establishing the foundational capabilities that enable AI agents, external platforms, and internal AI experiences to securely access the company's services. This position sits at the intersection of AI, platform product management, developer experience, security, governance, and enterprise architecture. You will work closely with Product, Engineering, Security, Risk, Compliance, Privacy, and Data teams to create the standards, operating models, and platform capabilities that will accelerate AI adoption across the organization while maintaining the highest levels of trust, security, and customer protection.

This is a unique opportunity to shape one of the most strategic AI platform initiatives within a world-class financial services organization. You will serve as the company's subject matter expert on MCP architecture, AI agent ecosystems, and platform governance while helping establish the reusable foundations that power next-generation customer experiences. For someone passionate about AI infrastructure, developer platforms, and emerging agent technologies, this role offers the chance to influence enterprise-wide strategy at massive scale.
Required Skills & Experience
8+ years of Product Management experience with significant ownership of platform, API, developer platform, infrastructure, or ecosystem products
Proven track record defining product strategy and delivering large-scale platform initiatives across multiple stakeholder groups
Experience building developer-facing products, APIs, SDKs, integration frameworks, or platform ecosystems
Strong understanding of authentication, authorization, OAuth, identity management, consent management, and platform security principles
Experience partnering with Legal, Compliance, Privacy, Risk, and Security organizations to launch customer-facing capabilities
Strong experience operating within highly cross-functional enterprise environments and influencing without direct authority
Experience establishing product metrics, experimentation frameworks, and data-driven decision-making processes
Exceptional communication skills with the ability to translate complex technical concepts into business outcomes
Bachelor's degree or equivalent professional experience
Desired Skills & Experience
Experience working with Large Language Models (LLMs), AI agents, agentic systems, MCP, tool orchestration, or function-calling architectures
Experience building products for developer ecosystems, partner integrations, marketplaces, or platform businesses
Knowledge of MCP standards, AI agent frameworks, and emerging AI platform ecosystems
Experience defining responsible AI controls, governance frameworks, or AI platform standards
Familiarity with observability, telemetry, monitoring, analytics, and platform measurement systems
Experience with personalization platforms, customer context systems, conversational AI, or recommendation engines
Experience partnering with enterprise architecture, security, privacy, and identity organizations on large-scale initiatives
Financial services, fintech, payments, or other highly regulated industry experience
Advanced degree in Business, Computer Science, Engineering, or a related discipline