Senior AI Product Manager

• Posted 60+ days ago • Updated 1 day ago
Full Time
On-site
USD $203,970.00 - 262,230.00 per year
Fitment

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Job Details

Skills

  • Management
  • Data Analysis
  • Clarity
  • Prototyping
  • Bridging
  • Use Cases
  • Roadmaps
  • Fluency
  • Workflow
  • Decision-making
  • Machine Learning (ML)
  • Engineering Design
  • Regulatory Compliance
  • Privacy
  • Product Management
  • Artificial Intelligence
  • SaaS
  • Analytical Skill
  • Research
  • Communication
  • Documentation
  • Finance
  • Life Insurance
  • Insurance
  • Leadership
  • Coaching
  • Mentorship
  • Apache Flex
  • Collaboration
  • Value Engineering
  • SAP BASIS

Summary

About Morningstar

Morningstar's mission is to empower investor success. The Direct Platform team does this by creating products that help financial professionals, and the investors they serve, achieve their financial goals. The Morningstar Direct Platform team is one of the largest business units that strive to give clients access to the data, analytics, and tools that help financial professionals be more efficient, innovative, and connect with their clients in a more meaningful way.

This role is based in our Chicago office, and we follow a hybrid policy of 4 days onsite. Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis.

Role Overview

We are seeking a Senior Product Manager to turn financial advisor pain points into validated, high-impact AI use cases. This role is a critical member of a dedicated discovery team, responsible for deeply understanding advisor workflows, designing experiments, and providing evidence-based recommendations for what should be built.

Success is measured by the clarity, validity, and impact of use cases, and by how quickly they move from discovery to validated prototypes.

What Success Looks Like:

  • High-priority financial advisor workflows are clearly validated and actionable
  • Experiments produce clear evidence for go/no-go decisions
  • Prototypes effectively communicate workflow improvements

Why This Role Matters

This role bridges the gap between financial advisor needs and AI execution. You ensure what gets built is meaningful, usable, and impactful, reducing wasted effort downstream and increasing adoption.

Key Responsibilities

  • Conduct in-depth research and interviews to uncover financial advisor pain points and workflows
  • Translate findings into prioritized, actionable AI use cases
  • Define success metrics and go/no-go criteria for experiments
  • Collaborate with AI Experience Designers and Forward-Deployed Engineers to prototype solutions
  • Partner with Head of Product to align on priorities and roadmap
  • Document workflow patterns, adoption insights, and validation evidence
  • Continuously iterate on experiments based on user feedback

Required Skill Sets

  • AI product leadership - Experience owning and scaling AI-powered products from concept to production.
  • LLM & model fluency - Working knowledge of modern AI approaches (ML, LLMs, RAG, prompt design, evaluations, quality trade-offs).
  • Experimentation & validation - Ability to design experiments to validate product ideas and AI behavior before and after launch.
  • User workflow discovery - Proven strength in translating complex user workflows into effective AI-assisted experiences.
  • Data-driven decision-making - Defines and tracks success metrics across adoption, impact, and AI performance.
  • Technical collaboration - Credible partner to ML, engineering, design, and compliance teams on feasibility, risk, and delivery.
  • Responsible AI awareness - Understands bias, safety, privacy, and reliability considerations in AI products.
  • Strategic prioritization - Balances short-term delivery with long-term AI platform and product vision.

Qualifications

  • 7+ years of product management experience
  • Experience with AI and SaaS
  • Strong analytical, research, and synthesis skills
  • Excellent communication and documentation skills

Total Cash Compensation Range

$203,970-262,230 USD Annual

Inclusive of annual base salary and target incentive

Compensation and Benefits

At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
  • Financial Health
    • 100% 401k match up to 6% of salary
    • Stock Ownership Potential
    • Company provided life insurance - 1x salary + commission
  • Physical Health
    • Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
    • Additional medical Wellness Incentives - up to $300-$600 annual
    • Company-provided long- and short-term disability insurance
  • Emotional Health
    • Trust-Based Time Off
    • 6-week Paid Sabbatical Program
    • 6-Week Paid Family Caregiving Leave
    • Competitive 8-24 Week Paid Parental Leave
    • Adoption Assistance
    • Leadership Coaching & Formal Mentorship Opportunities
    • Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses
    • Tuition Reimbursement
  • Social Health
    • Charitable Matching Gifts program
    • Dollars for Doers volunteer program
    • Paid volunteering days
    • 15+ Employee Resource & Affinity Groups

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 23750176
  • Posted 30+ days ago
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