Senior Enterprise AI Product Leader

Edward Jones; New York (NY); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical and prescription

Dental

Vision

401k retirement plan

Bonuses and profit sharing

Employee Assistance Program

Paid holidays

Paid vacation

Job summary

Edward Jones, a Fortune 500 financial services firm, seeks a Senior AI Product Manager to lead enterprise AI products and reusable capabilities across multiple domains. You’ll own strategy, discovery, prioritization, adoption, lifecycle management, and measurable outcomes with significant autonomy.

You’ll partner with Engineering, Data, AI Science, Architecture, Cybersecurity, Experience, and Business teams to deliver value while ensuring responsible AI practices and scalable, explainable

Qualifications

• Bachelor’s degree or equivalent professional experience.
• Five+ years of Product Management experience.
• 1+ years of AI, ML, generative AI, or related technologies.
• Experience owning strategic products across multiple teams or domains.
• Strong ability to translate complex needs into product outcomes and requirements.

Responsibilities

• Set vision, value proposition, outcomes, priorities, and roadmap for strategic AI products.
• Translate needs into scalable AI product strategies and evaluation criteria.
• Identify dependencies, risks, and tradeoffs across AI products and capabilities.
• Own strategic AI products through discovery, launch, adoption, and retirement.
• Define customers, use cases, success measures, and lifecycle plans.

Skills

Product Management

Strategic thinking

Cross-functional leadership

AI familiarity

Communication

Education

Bachelor’s degree

Tools

Microsoft Copilot Studio

Power Platform

Azure AI

Job description

Edward Jones, a Fortune 500 financial services firm, seeks a Senior AI Product Manager to lead enterprise AI products and reusable capabilities across multiple domains. You’ll own strategy, discovery, prioritization, adoption, lifecycle management, and measurable outcomes with significant autonomy.

You’ll partner with Engineering, Data, AI Science, Architecture, Cybersecurity, Experience, and Business teams to deliver value while ensuring responsible AI practices and scalable, explainable