Director - AI Product Manager - AI Builder

Director, AI Product Manager – Platform Builder Experiences

Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose:
We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career.

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 translates business needs into actionable technical requirements, leads product discovery and validation efforts, and defines success metrics to evaluate product impact.

Unlike Product Managers within the Digital Product Management organization, 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. This role centers on strategy, discovery, and value framing, working closely with each Business and

Functional area

to shape AI direction, identify high-value opportunities, and expand the art of the possible for how AI can transform their domain.

What you'll do:

• Translate business needs into clear and actionable technical requirements for AI Products - reusable AI capabilities.
• Lead product discovery, validation, and iterative improvement processes with a focus on how AI platform capabilities will enhance the experience of the AI builder community.
• Define and track product success metrics specific to AI platform capability's 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 AI platform capabilities, ensuring that capabilities are not one-off builds, but reusable, capability driven products deployed across the organization.
• Collaborate with colleagues in EJ Labs, Engineering, Data, Product Management, Experience, and the respective Business and
  
  Functional area
  
  s 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.
• Actively shape the definition and evolution of product AI capability vision and strategy in partnership with business and technology stakeholders to drive measurable business impact and outcome-oriented delivery.
• Translate business goals, user insights, market trends, and product model and agent knowledge into product AI roadmaps, themes, initiatives, epics, and user stories—informing prioritization and hypothesis generation in collaboration with partners.
• 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…