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About This Role
*Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.*
*We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.*
*For more information, visit* *arcadia.io*.
Why This Role Is Important to Arcadia
Healthcare is entering a new era where AI can fundamentally transform how organizations understand populations, improve outcomes, reduce administrative burden, and deliver better experiences for patients and providers. Arcadia is uniquely positioned at the intersection of healthcare data, analytics, and workflow intelligence to bring these capabilities to market.
We are looking for a Principal Product Manager, AI Products to help define and deliver the next generation of AI\-powered healthcare solutions. This leader will own critical product investments that leverage generative AI, advanced analytics, and intelligent automation to solve meaningful customer problems and create measurable business value.
Principal Product Managers at Arcadia are builders, operators, and end\-to\-end owners. They combine deep customer understanding, strong technical fluency, and relentless execution to bring innovative products from concept to customer adoption. They operate with significant autonomy, influence company strategy through product outcomes, and are accountable for delivering enterprise\-grade capabilities that customers trust and depend on.
This role is ideal for product leaders who thrive in fast\-moving environments, can translate emerging AI technologies into real\-world customer value, and are energized by shipping products rather than managing process.
Success is measured by products delivered, customer outcomes achieved, business impact created, and the ability to establish yourself as a trusted expert with customers and cross\-functional partners.
What Success Looks Like
In 3 months
- Develop working expertise in Arcadia’s platform architecture, customer workflows, AI strategy, and data ecosystem
- Identify and prioritize high\-impact product opportunities within assigned domain ownership
- Ship at least one meaningful customer\-facing enhancement or production capability
- Demonstrate the ability to independently navigate ambiguity and drive product decisions to execution
In 6 months
- Deliver multiple enterprise\-grade AI\-enabled product capabilities into production
- Establish a track record of measurable customer adoption and business impact
- Become the recognized product owner and domain expert for assigned product areas
- Demonstrate consistent execution against roadmap commitments
In 12 months
- Own a portfolio of AI\-powered product capabilities delivering measurable customer and business outcomes
- Lead major product initiatives that drive growth, operational leverage, customer retention, or market differentiation
- Influence Arcadia’s long\-term AI product strategy through successful execution and demonstrated results
- Be recognized as one of the organization’s strongest product builders and operators
### What You'll Be Doing
- Own the end\-to\-end lifecycle of AI\-powered product capabilities from concept through customer adoption and measurable business impact
- Deliver enterprise\-grade generative AI products and workflow automation capabilities into production environments at scale
- Work directly with customers to understand operational challenges, validate product direction, and ensure solutions address real\-world healthcare workflows
- Translate advances in AI, LLMs, agentic systems, retrieval architectures, and analytics into practical customer solutions
- Partner closely with Engineering, Data Science, Customer Success, and GTM teams to ensure products are successfully adopted and deliver measurable value
- Drive roadmap decisions using customer needs, technical realities, business objectives, and market opportunities
- Own product success metrics tied to customer adoption, revenue growth, operational efficiency, and business outcomes
- Act as the accountable owner for shipping high\-quality products on a predictable cadence
- Mentor and elevate product management practices across the broader Product organization
### What You'll Bring
Education
- Bachelor’s degree required; advanced degree in business, computer science, engineering, healthcare, data science, AI/ML, or a related field preferred
Experience
- 12\+ years in enterprise SaaS, platform products, AI\-enabled products, data products, or similarly complex technical environments; bonus if experience includes healthcare environments
- Experience building and scaling enterprise\-grade AI, machine learning, or generative AI products
- Experience delivering products powered by LLMs, agentic systems, retrieval\-augmented generation (RAG), intelligent automation, predictive analytics, or similar AI technologies
- Proven track record shipping products used by enterprise customers at scale
- Experience defining and delivering products tied to measurable business outcomes and revenue impact
- Experience owning products with measurable commercial outcomes, including adoption, retention, growth, or revenue objectives
- Demonstrable understanding of how product decisions connect to business performance and customer value realization
- Experience partnering closely with Engineering and GTM organizations to successfully bring products to market
Technical Fluency
- Strong technical fluency across modern AI systems, including generative AI, LLMs, retrieval architectures (RAG), intelligent automation, model evaluation, and AI governance
- Ability to engage deeply with engineering teams on architecture, implementation tradeoffs, and production deployment decisions
Qualities
- Highly autonomous operator with strong ownership mentality and executive presence
- Collaborative leader capable of influencing across Product, Engineering, Analytics, and Executive teams
- Demonstrated ability to create clarity, structure, and momentum in ambiguous problem spaces
- Practiced in building new products, processes, and operating models from the ground up
- Strong ownership orientation with a bias toward action and execution
Skills
- Exceptional product strategy, prioritization, communication, and execution leadership
- Strong analytical and technical fluency, including ability to navigate complex platform and AI\-enabled product discussions
- Ability to translate customer, operational, and business needs into scalable product direction and measurable outcomes
### What You'll Get
- The opportunity to shape the future of AI\-enabled healthcare products and platform innovation at scale
- Significant influence over strategic product direction, organizational maturity, and next\-generation customer experiences
- The opportunity to solve some of healthcare’s most complex operational, clinical, and data challenges alongside exceptionally talented cross\-functional teams
- A highly visible role with meaningful executive partnership and organizational impact
- The ability to help define how AI, automation, analytics, and workflow transformation reshape healthcare delivery and operations
- Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
- A flexible, remote friendly company with personality and heart
- Employee driven programs and initiatives for personal and professional development
- Become a member of the talented, energized, diverse and purpose\-driven Arcadian Community
$180,000 \- $220,000 a year
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near\-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment\-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781\) 202\-3600 and select option 3\. For more information, visit our website. *This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security\-specific roles, the responsibilities would be further defined by the hiring manager.*
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Salary Context
This $180K-$220K range is above the median for AI Product Manager roles in our dataset (median: $189K across 161 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 3,823 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Arcadia.io, 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 $213,800 based on 583 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($200K) sits 6% below the category median. Disclosed range: $180K to $220K.
Across all AI roles, the market median is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($275,000) and AI Safety ($274,200). By seniority level: Entry: $97,880; Mid: $165,000; Senior: $227,400; Director: $247,800; VP: $250,000.
Arcadia.io AI Hiring
Arcadia.io has 1 open AI role right now. They're hiring across AI Product Manager. Based in Remote, US. Compensation range: $220K - $220K.
Remote Work Context
Remote AI roles pay a median of $170,000 across 1,926 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 3,823 open positions tracked in our dataset. By seniority: 112 entry-level, 1,798 mid-level, 1,516 senior, and 397 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (590 positions). The remaining 3,217 roles require on-site or hybrid attendance.
The market median for AI roles is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($275,000 median, 41 roles); AI Safety ($274,200 median, 55 roles); Research Engineer ($260,000 median, 434 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 3,823 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,629), Data Scientist (322), AI Software Engineer (279). 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 (112) are outnumbered by mid-level (1,798) and senior (1,516) 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 397 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (590 positions), with 3,217 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 $200,100. Top-quartile roles start at $253,500, and the 90th percentile reaches $307,500. 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 $275,000 median, while Prompt Engineer roles sit at $140,000. 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 (1,979 postings), Aws (1,190 postings), Azure (899 postings), Rag (839 postings), Gcp (726 postings), Pytorch (595 postings), Prompt Engineering (595 postings), Claude (540 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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