This job posting is anticipated to remain open for 30 days, from 12-Sep-2026. The posting may close early due to the volume of applicants.

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 Lead AI Product Manager is responsible for shaping and leading the firm’s most complex and strategically significant enterprise AI products and reusable AI capabilities that serve multiple products, business domains, customer experiences, and enterprise workflows.

This role treats AI as the product, owning the strategy, discovery, prioritization, adoption, lifecycle management, and measurable outcomes of shared AI capabilities rather than discrete applications. Operating with significant autonomy, the Senior Lead defines AI product direction, drives discovery and prioritization, and ensures measurable value creation through scalable, reusable AI solutions.

The Lead AI Product Manager may be accountable for one or more strategic AI product or capability domains. Depending on organizational priorities, customer needs, and business strategy, these domains may focus on enabling AI creation and adoption, delivering AI-powered experiences, providing trusted information and intelligence, driving automation and decision support, or ensuring the governance, reliability, and operation of AI solutions.

Specific products and services within these domains may evolve over time and can include reusable AI capabilities such as models, agents, skills, functions, tools, knowledge, retrieval capabilities, builder experiences, low-code solutions, platform capabilities, governance services, observability capabilities, and other emerging AI technologies.

This role influences product and capability strategy across interconnected AI products, helps shape enterprise AI direction, and serves as a trusted advisor to business, technology, product, risk, and operational leaders. The Senior Lead works closely with colleagues across Engineering, Data, Product Management, Architecture, Experience, Risk, and Business areas to ensure AI capabilities deliver measurable customer and business value while remaining scalable, reusable, explainable, and aligned with responsible AI practices.

The role also strengthens AI Product Management capabilities across the organization through product leadership, coaching, mentoring, collaboration, and the advancement of AI Product Management best practices.

Specific products within these domains may include models, agents, skills, functions, tools, retrieval capabilities, low-code solutions, builder experiences, observability capabilities, governance services, and other emerging AI technologies.

The Lead AI Product Manager is expected to provide strategic product leadership for a capability domain while ensuring the underlying products, services, and experiences are scalable, reusable, measurable, and aligned with enterprise objectives.

What You’ll Do

• Define the vision, value proposition, outcomes, priorities, roadmap, and investment strategy for strategic AI products and capability domains.
• Translate enterprise priorities and customer needs into scalable product strategies, requirements, evaluation criteria, and prioritized work.
• Lead continuous discovery and test hypotheses through research, prototypes, experiments, evaluations, proofs of concept, and pilots.
• Use customer evidence, product data, technical findings, and business measures to guide prioritization, investment, scaling, optimization, and retirement de…