Interested in this AI Product Manager role at Caregility Corporation?
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About This Role
Caregility (caregility.com) is a telehealth solution provider connecting care everywhere. We are a Virtual Care Platform that brings bedside care, virtual encounters, and AI capabilities together at the point of care. Doctors, nurses, and patients around the world rely on our intelligent telehealth edge devices and virtual nursing, observation, and engagement applications to enhance clinical insights, patient safety, and efficiency. Trusted by over 75 health systems, deployed in more than 1,000 hospitals, and supporting over 30,000 connected devices, Caregility is helping to transform healthcare delivery across inpatient and outpatient settings.
Caregility is seeking a Full Time Product Manager. This is a Salaried, Exempt position. The role will be a hybrid position where reporting to the Wall Township, NJ office will be required. Our ideal candidate will live in the Northeast US.
Product Manager at Caregility owns and manages one or more of our existing or new products and is responsible for managing one or more PMs. This specific Product Manager will be responsible for APS, platform and AI. This position reports to the VP of Product Management, who provides direction and support to the Product Manager. This position will also work closely with various departments (particularly other Product Managers, Development, Clinical Solutions and customers) to optimize the APS (AV room system), Platform and AI products.
Roles & Responsibilities:
- Product and project management, including the generation of product requirements documents, development plans, and delivery schedules for the software and deployment of the service.
- Determining scope and prioritizing activities based on business and customer impact.
- Documenting the desired product behavior, the specific development requirements, and the user training and guides material.
- Working closely with engineering teams to deliver with quick time-to-market and optimal resources.
- Working with the APS firmware engineers and the hardware team to manage the APS firmware releases.
- Developing software release plans, controlling patches, and implementing testing across multiple environments.
- Following the release management process.
- Developing and maintaining product strategies.
- Developing and maintaining the product roadmap, within the tools used by product management.
- Review new integration and enhancement requests to assess and respond in a timely fashion.
- Other duties assigned.
The Product Manager is required to acquire a working knowledge of:
- Caregility Platform.
- Atlassian products (e.g. Jira, Confluence).
- Videoconferencing.
- Telehealth.
- Clinical workflows knowledge preferred.
Skills & Abilities:
- Experience in Product Management for 5 or more years in a variety of settings.
- Ability to exercise tact and good interpersonal skills.
- Group facilitation skills.
- Highly customer oriented.
- Working in Agile Scrum Development Environments.
- Willing to take ownership of a product and provide the team guidance on priorities.
- Collect feedback from different sources in the organization and synthesize the feedback into a cohesive plan.
- Proven ability to develop product and marketing strategies.
- Project management skills.
- Detailed oriented.
- Analytical skills to include advanced spreadsheet and numerical analysis skills: business cases, margin and cash flow analysis.
- Time management skills and the ability to be pro-active with a sense of urgency.
- Ability to Problem solve and bring organization to chaos.
- Be a self-starter, a highly motivated person able to work in a fast-paced environment that is continually changing.
- Outstanding written and verbal communication skills.
- Ability to read, understand and communicate technical documentation.
- Ability to interact with end-users and internal staff to successfully identify and document specific client requirements.
- Correctly interpret multiple formats of technical specifications, schematic drawings and architectural diagrams.
- Ability to write and deliver training courses and materials.
- Willing to learn new technologies and methods of validation.
- Familiar with Testing Processes in SDLC.
- Familiar with the development of Web Applications.
Education & Qualifications:
- Bachelor's Degree in scientific, health sciences, or equivalent quality related field.
- Experience as a product manager or as an associate product manager.
- Experience in web application development and service deployment.
- Experience leading local and remote teams.
- Preferred: Certified in Agile Scrum Master and Product Owner.
Additional Requirements:
- May require occasional lifting (up to 25 lbs).
- Requires extensive sitting, standing and walking.
- Limited weekend and/or night work may be required.
- Domestic and international travel requiring multi-night stays within and at times outside the local work area.
- Current valid U.S. Passport is desirable.
- Must be willing to complete background checks and drug tests as required by current or future contracts as well as monthly exclusion checks.
- Must be a US Citizen or authorized to work in the US.
- Knowledge of and adherence to Caregility policies and procedures.
If you share our passion to make healthcare more connected, more efficient, and more personal, join us and you’ll be rewarded with an excellent salary and benefits package, including 401k and Flex 125 plans.
We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, creed, marital status, gender, national origin, caste, disability status, genetic information and testing, family and medical leave, sexual orientation and gender identity or expression, protected veteran status, or any other characteristics protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or otherwise oppose discrimination.
Salary Context
This $155K-$170K range is above the 75th percentile for AI Product Manager roles in our dataset (median: $160K across 8 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 37,339 AI roles we're tracking, AI Product Manager positions make up 2% of the market. At Caregility Corporation, 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 Required
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 $205,900 based on 289 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $147,000. This role's midpoint ($162K) sits 21% below the category median. Disclosed range: $155K to $170K.
Across all AI roles, the market median is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $85,000; Mid: $147,000; Senior: $225,000; Director: $230,600; VP: $248,357.
Caregility Corporation AI Hiring
Caregility Corporation has 1 open AI role right now. They're hiring across AI Product Manager. Based in Township of Wall, NJ, US. Compensation range: $170K - $170K.
Location Context
Across all AI roles, 7% (2,732 positions) offer remote work, while 34,484 require on-site attendance. Top AI hiring metros: New York (1,633 roles, $204,100 median); Los Angeles (1,356 roles, $179,440 median); San Francisco (1,230 roles, $240,000 median).
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 37,339 open positions tracked in our dataset. By seniority: 3,672 entry-level, 23,272 mid-level, 7,048 senior, and 3,347 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (2,732 positions). The remaining 34,484 roles require on-site or hybrid attendance.
The market median for AI roles is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. Highest-paying categories: AI Engineering Manager ($293,500 median, 21 roles); AI Safety ($274,200 median, 24 roles); Research Engineer ($260,000 median, 264 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 37,339 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (33,926), AI Software Engineer (823), AI Product Manager (805). 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 (3,672) are outnumbered by mid-level (23,272) and senior (7,048) 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 3,347 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (2,732 positions), with 34,484 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 $190,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $300,688. 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 Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $145,600. 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: Rag (23,721 postings), Aws (12,486 postings), Rust (10,785 postings), Python (5,564 postings), Azure (3,616 postings), Gcp (3,032 postings), Prompt Engineering (2,112 postings), Kubernetes (1,713 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.
Frequently Asked Questions
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