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Location
Remote\-United States
Category
Information Technology
Department
Information Services
Shift
Weekday Day
Position Type
Full Time
Scheduled Weekly Hours
40
Req \#
JR7119
Job Description
-------------------
Position Summary
The AI Product Manager serves as the institutional product and relationship lead for identifying, evaluating, and advancing AI products that address high\-value business, clinical, administrative, and operational needs at St. Jude. This role translates workflow pain points into clear problem statements, product requirements, business cases, success measures, and practical recommendations; evaluates market and vendor options; prioritizes opportunities; and helps determine which solutions are the best fit for the organization. The successful candidate will work across clinicians, administrators, operational leaders, vendors, IS, data and analytics, engineering, security, and governance partners to ask the right questions, clarify tradeoffs, build trust, and guide decisions that support implementation readiness, adoption, and value realization. Experience with Epic and a strong understanding of clinical, administrative, and operational workflows are highly desirable. Success in this position requires strong product leadership, sound judgment, curiosity, user empathy, and excellent communication and facilitation skills.This position may be eligible for remote work. However, St. Jude requires all remote employees to:
- Travel to our Memphis campus for the interview process and/or orientation, if selected
- Travel to Memphis to work on\-site for one week per quarter, or as requested based on business needs, if hired.
By applying, you acknowledge and agree to these travel requirements as a condition of employment.
This position is remote within approved U.S. locations. Due to state\-specific employment regulations, we are unable to consider applicants currently residing in California for remote work; however, candidates based in California who are willing to relocate to an approved location may be considered.
Duties/Responsibilities:
- Serves as the institutional product lead for AI solutions, accountable for identifying, prioritizing, and advancing the right\-fit products to address priority pain points, workflow friction, and strategic opportunities across St. Jude.
- Builds trusted relationships across clinical, administrative, operational, IS, data, analytics, and technical teams to understand workflows, clarify pain points, translate needs into requirements, and evaluate solution options.
- Leads market scans, vendor evaluations, and product comparisons to assess strategic fit, workflow fit, technical feasibility, implementation complexity, risk, support model, and expected value.
- Develops product recommendations and business cases that translate workflow pain points into expected value, adoption implications, dependencies, implementation readiness, risks, and success metrics.
- Guides products through the stage\-gate pipeline, ensuring requests are vetted and aligned with institutional priorities, governance requirements, and available capabilities.
- Facilitates cross\-functional forums and special interest groups, using diplomacy and synthesis skills to align stakeholders, surface concerns, coordinate evaluation activities, and drive toward informed recommendations.
- Leads pilots and structured product evaluations, including success criteria, validation plans, stakeholder roles, workflow implications, adoption needs, and readiness for scale.
- Translates approved products into implementation and adoption plans, clarifying requirements, supporting prioritization, aligning stakeholders, and guiding value realization.
- Partners with architecture, security, data, platform, and technical teams to ensure product decisions account for feasibility, enterprise architecture, dependencies, and implementation risk.
- Monitors product performance, adoption, benefits realization, user feedback, and outcomes, and communicates evidence\-based updates and recommendations to stakeholders and leadership.
- Attends and facilitates AI\-related committees, councils, and meetings and performs other duties as assigned.
Minimum Education and/or Training:
- Bachelor's degree in computer science, data science, information science, business, or related field required.
- Master's degree preferred.
Minimum Experience:
- Minimum requirement: 5\+ years in Information Technology implementation, application management, data management/advanced analytics, and governance required.
- 7\+ years of experience in product management, product strategy, digital health, healthcare technology, enterprise technology evaluation, or a related field highly preferred.
- Proven ability to engage, influence, and collaborate with diverse stakeholders across clinical, business, and executive environments.
- Strong curiosity and evolving knowledge of GenAI/AI technologies, with the ability to anticipate industry trends.
- Experience working with a wide range of partners—from established enterprise vendors to emerging start\-ups.
- Skilled in analytics, experimentation, and data storytelling, with the capability to craft and deliver compelling, high\-impact presentations.
- Comfortable interacting with senior leaders and clinical staff to drive strategic discussions and decision\-making.
- Working knowledge of GenAI/AI solutions and their practical application in organizational contexts.
- Experience evaluating, implementing, scaling, or supporting adoption of digital, analytics, automation, AI, or GenAI products in an enterprise environment highly preferred.
- Healthcare or healthcare technology experience, including exposure to clinical, administrative, or operational workflows highly preferred.
- Experience evaluating vendor solutions and product fit across business, clinical, technical, security, and operational dimensions highly preferred.
- Experience shaping product direction, prioritizing opportunities, and guiding initiatives from discovery through implementation, adoption, and scale highly preferred.
- Experience translating user needs and workflow pain points into product requirements, business cases, success metrics, pilots, adoption plans, and leadership recommendations highly preferred.
- Ability to partner effectively with technical teams to understand feasibility, dependencies, risks, and implementation implications highly preferred.
- Strong written, verbal, facilitation, and synthesis skills, with the ability to translate between business, clinical, operational, and technical audiences highly preferred.
Other Desirable Qualifications:
- Experience evaluating or working with Epic is highly desirable, especially where that experience includes translating clinical, administrative, or operational workflow pain points into product requirements, business cases, or adoption plans preferred.
- Working knowledge of commercially available AI and GenAI solutions, including healthcare products and enterprise copilots or assistants preferred.
- Experience with other enterprise platforms such as Microsoft, ServiceNow, Workday, or comparable healthcare and business technology products preferred.
Knowledge and Skills:
- Strong product leadership, stakeholder management, and executive communication skills, with the ability to lead through influence and align diverse groups around shared decisions.
- Excellent facilitation, diplomacy, active listening, and synthesis skills with senior leaders, clinicians, operational leaders, vendors, and technical partners.
- Broad understanding of AI and GenAI products, vendor landscapes, implementation patterns, integration considerations, governance expectations, support models, and structured product comparison in enterprise healthcare environments.
- Ability to translate business, clinical, administrative, and operational pain points into product requirements, business cases, success measures, and adoption plans.
- Strong understanding of Epic\-centered clinical, administrative, and operational workflows and how they shape product fit, adoption, and value realization.
- Skilled in user research, usability assessment, end\-user experience discovery, and structured questioning to identify user needs, workflow barriers, strengths, limitations, dependencies, and risks.
- Technical fluency sufficient to partner with engineering, architecture, security, data, and platform teams and understand implementation implications.
- Familiarity with healthcare data governance, privacy, legal, security, and regulatory considerations associated with evaluating and scaling AI solutions.
- Knowledge of product, pilot, and implementation management practices, including prioritization, change enablement, adoption planning, and readiness for scale.
Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $94,640 \- $169,520 per year for the role of AI Product Manager.
Explore our exceptional benefits!
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.
Salary Context
This $94K-$169K range is in the lower quartile for AI Product Manager roles in our dataset (median: $185K across 167 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 4,317 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At St. Jude Children's Research Hospital, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills in Demand for This Role
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $217,100 based on 471 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $194,400. This role's midpoint ($132K) sits 39% below the category median. Disclosed range: $94K to $169K.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
St. Jude Children's Research Hospital AI Hiring
St. Jude Children's Research Hospital has 2 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager. Based in Remote, US. Compensation range: $169K - $169K.
Remote Work Context
Remote AI roles pay a median of $180,000 across 1,196 positions. About 15% of all AI roles offer remote work.
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (138) are outnumbered by mid-level (2,071) and senior (1,655) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $287,500 median, while Prompt Engineer roles sit at $145,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
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