Senior AI Product Manager
Job in
New Britain, Hartford County, Connecticut, 06051, USA
Listed on 2026-07-13
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-13
Job specializations:
-
IT/Tech
AI Business & Operations, Business Systems/ Tech Analyst -
Business
AI Business & Operations, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Responsibilities
- Own and execute the product roadmap for AI-powered features or products within participant, advisor, or plan sponsor experiences.
- Translate business problems and customer needs into clear product requirements, user stories, and technical specifications.
- Partner with engineering and data science teams to support model development, testing, and deployment.
- Evaluate product performance using defined success metrics such as engagement, adoption, and operational efficiency; recommend iterative improvements.
- Conduct customer and stakeholder discovery to inform product decisions, including advisors, plan sponsors, administrators, and internal partners.
- Support prioritization of AI opportunities using available data, business context, and strategic alignment.
- Ensure product solutions align with compliance, legal, risk, and fiduciary requirements in a regulated financial services environment.
- Contribute to go-to-market planning, rollout execution, and stakeholder communication for AI-enabled features or products.
- Collaborate cross-functionally across business, technology, and risk partners, influencing decisions within the immediate product domain.
- Bachelor’s degree in Computer Science, Engineering, Finance, Economics, Mathematics, or a related quantitative field required.
- 5–8 years of product management experience, including exposure to AI or machine learning products.
- Experience supporting delivery of AI-powered features or products from concept through launch.
- Working knowledge of AI/ML concepts, including model lifecycle, large language models (LLMs), and data-driven product development.
- Ability to write clear product requirements and partner effectively with engineering and data science teams.
- Experience working in regulated environments and collaborating with compliance, legal, and risk stakeholders.
- Understanding of retirement, wealth, or financial services products and related workflows.
- Strong communication, prioritization, and stakeholder management skills.
Position Requirements
10+ Years
work experience
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