More jobs:
Director, Product Manager
Job in
Saint Louis, St. Louis city, Missouri, 63150, USA
Listed on 2026-06-03
Listing for:
Edward Jones
Full Time
position Listed on 2026-06-03
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Product Designer
Job Description & How to Apply Below
Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500¹ 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.
View our Purpose, Inclusion and Citizenship Report.
¹Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating.
The Director, AI Product Manager is responsible for driving the end‑to‑end development and delivery of AI products-specifically AI models and agents-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 models and agents that power multiple downstream 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. Digital Product Managers will often serve as customers of the AI Product Manager, and leverage AI Products as part of their offerings. Digital Product Managers will remain accountable for the execution, delivery, and lifecycle management of AI capabilities within products and portfolios.
The Director, AI Product Manager partners closely with Digital's Product Management teams to ensure enterprise AI capabilities can be easily integrated, adopted, and leveraged across the firm.
This role ensures the adoption of responsible AI practices and compliance with regulatory expectations, while clearly communicating progress, risks, and outcomes to stakeholders. Working in collaboration with colleagues in EJ Labs, Engineering, Data, Product Management, Experience, and the respective Business and
Functional area
s , the Director, AI Product Manager ensures that AI models and agents deliver measurable value, maintain performance through ongoing monitoring, and support firmwide strategic objectives through shared AI capability development. The role acts as a connector throughout the full product lifecycle-navigating ideation, discovery, delivery, adoption, and iteration.
This position sits within the AI, Data, and Emerging Technology Lab inside EJ Labs, with a focus on creating and maintaining reusable AI products, rather than building one‑off or front‑end solutions. EJ Labs AI Product Managers own reusable AI capabilities, primarily AI models and agents-that are consumed across multiple products, with Digital Product teams serving as a primary customers who integrate these models into user‑facing experiences.
What you'll do:
* Translate business needs into clear and actionable technical requirements for AI Products models and agents - reusable AI capabilities.
* Lead product discovery, validation, and iterative improvement processes with a focus on how AI models and agents will be embedded across many applications, tools, and internal teams.
* Define and track product success metrics specific to AI model and agent performance, reusability, adoption, and ongoing monitoring.
* Conduct research and engage internal customers to…
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