Senior AI Product Manager
Morningstar, Chicago, IL, United States
This job is with Morningstar, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
About Morningstar
Morningstars 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. Morningstars hybrid work environment gives you the opportunity to collaborate in-person each week as weve found that were at our best when were purposely together on a regular basis.
Role Overview
We are seekinga SeniorProductManager to turnfinancialadvisor pain points into validated, high-impact AI use cases. This role is a critical member ofa 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 tovalidatedprototypes.
What Success Looks Like:
High-priorityfinancialadvisor workflows areclearlyvalidatedand actionable
Experiments produceclear evidencefor go
o-go decisions
Prototypes effectively communicate workflow improvements
Why This Role Matters
This role bridges the gap betweenfinancial advisor needs and AI execution. You ensurewhat gets built is meaningful, usable, and impactful, reducing wasted effort downstream and increasing adoption.
Key Responsibilities
Conduct in-depth research and interviews to uncoverfinancialadvisor pain points and workflows
Translate findings into prioritized, actionable AI use cases
Define success metrics and go
o-go criteria for experiments
Collaborate with AI Experience Designers and Forward-Deployed Engineers to prototype solutions
Partner with Head ofProduct 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 - Abilityto design experiments tovalidateproduct 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 partnertoML, 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. Thats 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
Morningstars hybrid work environment gives you the opportunity to collaborate in-person each week as weve found that were at our best when were 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, youll have tools and resources to engage meaningfully with your global colleagues.
About Morningstar
Morningstars 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. Morningstars hybrid work environment gives you the opportunity to collaborate in-person each week as weve found that were at our best when were purposely together on a regular basis.
Role Overview
We are seekinga SeniorProductManager to turnfinancialadvisor pain points into validated, high-impact AI use cases. This role is a critical member ofa 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 tovalidatedprototypes.
What Success Looks Like:
High-priorityfinancialadvisor workflows areclearlyvalidatedand actionable
Experiments produceclear evidencefor go
o-go decisions
Prototypes effectively communicate workflow improvements
Why This Role Matters
This role bridges the gap betweenfinancial advisor needs and AI execution. You ensurewhat gets built is meaningful, usable, and impactful, reducing wasted effort downstream and increasing adoption.
Key Responsibilities
Conduct in-depth research and interviews to uncoverfinancialadvisor pain points and workflows
Translate findings into prioritized, actionable AI use cases
Define success metrics and go
o-go criteria for experiments
Collaborate with AI Experience Designers and Forward-Deployed Engineers to prototype solutions
Partner with Head ofProduct 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 - Abilityto design experiments tovalidateproduct 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 partnertoML, 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. Thats 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
Morningstars hybrid work environment gives you the opportunity to collaborate in-person each week as weve found that were at our best when were 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, youll have tools and resources to engage meaningfully with your global colleagues.