Director - AI Product Manager - AI Builder Experience

About the role

Join a Fortune 500 financial services firm where people come first. Edward Jones is privately owned with over 9 million clients and 20,000 financial advisors across the U.S. and Canada. The firm’s purpose is to partner for positive impact to improve the lives of clients and colleagues and better communities and society. Edward Jones associates are seen, heard, respected, and supported, fostering a flexible and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging.

Opportunity Overview

The Director, AI Product Manager – Platform Builder Experiences is responsible for driving the end‑to‑end development and delivery of AI platform capabilities for No Code, Low Code, and Pro Code AI builders from ideation through launch and ongoing optimization. This role treats AI itself as the product—owning firmwide, reusable, and scalable AI platform capabilities that power AI builder experiences rather than discrete applications. The Director partners closely with Digital Product Management teams to ensure enterprise AI capabilities can be easily integrated, adopted, and leveraged across the firm, while ensuring responsible AI practices and regulatory compliance. The role acts as a connector throughout the full product lifecycle—navigating ideation, discovery, delivery, adoption, and iteration—within the AI Product Team inside EJ Labs.

Responsibilities

• Translate business needs into clear and actionable technical requirements for reusable AI capabilities.
• Lead product discovery, validation, and iterative improvement processes with a focus on enhancing the experience of the AI builder community.
• Define and track product success metrics specific to AI platform capability performance, reusability, adoption, and ongoing monitoring.
• Conduct research and engage internal customers to inform AI platform capabilities.
• Ensure responsible AI practices and compliance with regulatory requirements throughout the product lifecycle.
• Drive the development and delivery of reusable, capability‑driven AI products deployed across the organization.
• Collaborate with EJ Labs, Engineering, Data, Product Management, Experience, and respective Business and Functional areas to test, deploy, and refine new AI platform capabilities and ensure alignment with enterprise AI standards.
• Communicate product progress, updates, and outcomes to stakeholders across the organization.
• Conduct market and user research to understand demand for reusable AI capabilities and anticipate agent‑centric enhancements.
• Monitor and evaluate AI platform capability performance, implementing refinements as needed as part of ongoing product lifecycle management and governance.
• Shape the definition and evolution of product AI capability vision and strategy in partnership with business and technology stakeholders to drive measurable business impact.
• Translate business goals, user insights, market trends, and product model and agent knowledge into product AI roadmaps, themes, initiatives, epics, and user stories.
• Support product delivery, adoption, and business impact through influence and collaboration, reinforcing outcome ownership while navigating shared accountability.
• Collaborate with product leadership, delivery partners, and enabling teams to support resource coordination, delivery execution, and risk management across delivery teams.
• Deploy and test new AI platform builder capabilities, ensuring reliability, explainability, and functional integration with a broad set of consuming systems and applications.
• Own the lifecycle of AI platform builder capabilities—including versioning, performance monitoring, retraining plan development, and continuous improvement.
• Ensure EJ Labs’ AI platform builder capabilities are adopted by the No Code, Low Code, and Pro Code builder experiences across the firm.

Requirements

• Bachelor's degree in computer science, engineering, product management or related field.
• 7+ years’ experience in product management, including translating business needs into technical requirements and leading product discovery and validation.
• 3+ years' experience in AI/ML.
• Strong understanding of AI technologies and financial services.
• Product operating model methodologies, including AI‑driven PDLC.
• Metrics and frameworks for tracking product AI model and agent success and impact.
• Responsible AI practices and regulatory compliance requirements.
• User experience (UX) principles and their integration into product AI capability design.

What will set you apart

• Master’s Degree in Artificial Intelligence, Product Management, or a related field.
• 5+ years’ experience in AI product management, with a focus on responsible AI practices and regulatory compliance in a financial services context.
• Financial services industry practices and regulations.
• Emerging trends in AI product model and agent development and management.
• Data governance and integrity management.
• Risk management and compliance in AI product model and agent development.
• Advanced data visualization techniques for product insights.