Director – AI Product Manager – AI Builder Experience

Information Technology Senior Management Forum; St. Louis (MO); On-site; USD 160,000 - 210,000; Full time

Job summary

Edward Jones seeks a Director, AI Product Manager – Platform Builder Experiences to oversee end-to-end AI platform capabilities for No Code, Low Code, and Pro Code builders across the enterprise.

You will translate business needs into technical requirements, lead discovery and validation, and define success metrics to measure impact, ensuring reusable AI capabilities and responsible AI practices are embedded throughout the lifecycle.

Qualifications

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

Responsibilities

• Translate business needs into actionable requirements for reusable AI capabilities.
• Lead product discovery, validation, and iterative improvement processes for AI platform capabilities.
• Define and track product success metrics for AI platform performance, adoption, and governance.
• Conduct market and user research to inform AI platform capabilities.
• Ensure responsible AI practices and regulatory compliance throughout the lifecycle of AI platforms.
• Drive development and delivery of reusable AI platform capabilities across the organization.
• Collaborate with EJ Labs, Engineering, Data, and Business units to deploy and refine AI capabilities.

Skills

Product management

AI/ML knowledge

Stakeholder communication

Regulatory compliance

UX integration

Education

Bachelor's degree in CS/Engineering/PM

Master's degree (preferred)

Job description

Position Schedule: Full-Time

This job posting is anticipated to remain open for 30 days, from 02-Sep-2026. The posting may close early due to the volume of applicants.

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 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. 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 areas , the Director, AI Product Manager – Platform Builder Experiences ensures that AI platform capabilities 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 Product Team inside EJ Labs, focused on building and managing the reusable AI platform and marketplace capabilities that enable teams across the enterprise to discover, govern, scale, and consume AI products through a consistent, standards-based ecosystem, rather than developing one-off or front-end solutions.

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 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.
• 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 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.

Edward Jones’ compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm’s Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Edward Jones is prohibited from hiring individuals with certain specified criminal history as set forth in Section 3(a)(39) and 15(b)(4) and Rule 17a-3(a)(12) of the Securities and Exchange Act of 1934, and conducts background reviews consistent with FINRA Rule 3110(e). A copy of a notice regarding the provisions of the Los Angeles County Fair Chance Ordinance is available at: dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf.

What you will need:

• Bachelor’s degree in computer science, engineering, product management or related field.
• 7+ years’ experience in product management includes 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.
• AI technologies and their applications in business contexts.
• 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 AI model and agent development.
• Advanced data visualization techniques for product insights.