Senior AI Product Manager

This job posting is anticipated to remain open for 30 days, from 28-Sep-2026. The posting may close early due to the volume of applicants.

The Senior AI Product Manager shapes and leads the firm's most strategic enterprise AI products and reusable AI capabilities that support multiple business domains, customer experiences, and enterprise workflows.

This role treats AI as the product and owns strategy, discovery, prioritization, adoption, lifecycle management, and measurable outcomes. Operating with significant autonomy, the Senior AI Product Manager establishes product direction and ensures AI solutions deliver scalable business value.

The role may be accountable for one or more AI product or capability domains that enable AI adoption, AI-powered experiences, trusted intelligence, automation, decision support, or governance and operations.

Products and services may include models, agents, skills, tools, knowledge assets, retrieval capabilities, low-code solutions, platform capabilities, governance services, observability capabilities, and emerging AI technologies.

The Senior AI Product Manager influences strategy across interconnected AI products, helps shape enterprise AI direction, and advises business, technology, product, risk, and operational leaders. This role partners with Engineering, Data, Product Management, Architecture, Experience, Risk, and Business teams to deliver customer and business value while ensuring capabilities are scalable, reusable, explainable, measurable, and aligned with responsible AI practices.

The role also advances AI Product Management through leadership, coaching, collaboration, and best-practice development.

What You'll Do

• Set the vision, priorities, outcomes, and roadmap for strategic AI products and capabilities.
• Translate customer needs and business objectives into AI product strategies, requirements, and prioritized work.
• Identify opportunities, dependencies, risks, and tradeoffs across AI products and capabilities.
• Own products throughout the lifecycle, from discovery and launch through adoption, optimization, and retirement.
• Define target customers, use cases, success measures, service expectations, and lifecycle plans.
• Lead discovery efforts to identify customer problems, reusable patterns, and high-value AI opportunities.
• Validate product hypotheses through research, prototypes, experiments, and pilots.
• Define AI product experiences, including behaviors, data needs, integrations, controls, monitoring, and human oversight.
• Partner across Engineering, Data, AI Science, Architecture, Cybersecurity, Experience, and Business teams to evaluate options and make informed decisions.
• Promote reuse and interoperability across AI products, models, agents, workflows, platforms, and governance capabilities.
• Identify and mitigate AI risks, including bias, unreliable outputs, data leakage, security threats, and model drift.
• Define and monitor metrics for customer value, business outcomes, adoption, quality, reliability, scalability, cost, and risk.
• Embed responsible AI, privacy, security, legal, regulatory, accessibility, and model-risk requirements throughout the product lifecycle.
• Communicate product outcomes, risks, opportunities, and tradeoffs to senior leaders and stakeholders, serving as a trusted advisor on AI decisions.

Current Internal Home-Based Associates:

Even if this role is posted as campus-based, you are eligible to apply and, if selected, may retain your home-based status. Future business or regulatory needs may require on-site work, and some roles may have a preference for campus-based presence.

What You'll Need:

• Bachelor's degree in a relevant technical, product, analytics, or business field, or equivalent professional experience.
• Five or more years of Product Management experience, including ownership of complex technology, platform, data, digital, or AI products.
• 1+ years of experience with AI, machine learning, generative AI, agentic systems, intelligent automation, AI platforms, or advanced analytics.
• Demonstrated success owning strategic products or reusable capabilities across multiple customers, teams, domains, products, or enterprise workflows.
• Familiarity in at least one AI product specialty, with broad knowledge of enterprise AI technologies, data, platforms, governance, and architecture.
• Product Management skills in strategy, discovery, experimentation, prioritization, roadmaps, analytics, adoption, and lifecycle management.
• Ability to translate complex customer and business needs into product outcomes, technical requirements, evaluation criteria, and prioritized work.
• Experience defining product success measures and evaluating tradeoffs across customer value, feasibility, cost, quality, performance, reuse, risk, and time to value.
• A strong understanding of responsible AI, governance, privacy, security, compliance, model risk, monitoring, and enterprise controls.
• Proven ability to influence leaders, lead cross-functional teams, coach others, and communicate complex topics clearly.

What Could Set You Apart:

• Master's degree in a relevant technical, product, or business field.
• Experience leading enterprise AI products or reusable capabilities in financial services or another highly regulated industry.
• Experience with low-code, no-code, and pro-code AI ecosystems, including Microsoft Copilot Studio, Power Platform, Azure AI, Databricks, or comparable technologies.
• Experience defining AI evaluation, monitoring, observability, governance, security, privacy, model-risk, or regulatory controls.
• Experience developing Product Management frameworks, organizational capabilities, communities of practice, or talent through coaching and mentoring.

Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week.

Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law.

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.