Senior AI Product Manager

Morningstar•Chicago, IL

2d•Hybrid

About The Position

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 mem ber 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 dis covery to validated prototypes. What Success Looks Like: High-priority financial advisor workflows ar e clearly validated and actionable Experiment s produ ce 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.

Requirements

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 d esign 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 – Cr edible 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.
7+ years of product management experience
Experience with AI and SaaS
Strong analytical, research, and synthesis skills
Excellent communication and documentation skills

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

Benefits

Financial Health
75% 401k match up to 7%
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 Bonding Leave
Adoption Assistance
Leadership Coaching & Formal Mentorship Opportunities
Annual Education Stipend
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.