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### About Eko Health
Eko builds AI and digital tools to enable every healthcare provider to more accurately detect heart and lung disease – the leading causes of death globally. Our FDA cleared, industry leading products are used by hundreds of thousands of clinicians on millions of patients around the world. With Eko, clinicians can detect cardiac and pulmonary disease with higher accuracy, diagnose with more confidence, manage treatment effectively, and ultimately give their patients the best care possible.
We have strong venture capital backing from investors like Artis Ventures, Questa Capital, Highland Capital, and Mayo Clinic Ventures.
Recognized by TIME magazine in 2025 as one of the world’s top healthcare technology companies, Eko is one of the fastest growing digital health companies with products used around the world at some of the most prestigious health systems.
We have more than 8 FDA clearances including novel AI algorithms, and we invest heavily in quality clinical research and R\&D to build and validate exceptional products for patients we care deeply about.
We’ve built a mission driven, high performing, talented, and diverse team of engineers, physicians, PhD’s, creatives, and technologists. We are committed to investing in each other and our mission to ensure all patients have access to high quality care.
We are headquartered in Emeryville, California and privately\-held with world class investors and partners.
Role Summary
At Eko, the ability to listen is the ability to care. We're turning the two\-century\-old stethoscope into an intelligent platform that gives every clinician — from first responder to specialist — the superpower to hear more, detect earlier, and act with confidence.
As Lead Product Manager, Clinical AI, you'll own the products at the heart of that promise: the FDA\-cleared cardio\-acoustic AI — heart sound fused with ECG — that detects structural heart disease, heart failure, and AFib, with pulmonary next. You'll set detection strategy across diseases and workflows and turn hard science into products clinicians reach for because they make the exam faster, sharper, and more confident. You'll partner deeply with Data Science, Clinical Affairs, and Regulatory to move new algorithms from research to the point of care. This is a senior, physician\-facing role for a builder who obsesses over clinical value and craft, not just “the algorithm.”
Essential Functions
- Own the vision, strategy, and multi\-year roadmap for your area — and the outcomes it's measured by.
- Live with clinicians and customers; let real workflows, not opinions, drive what you build.
- Turn strategy into a sharp, prioritized backlog and build it shoulder\-to\-shoulder with Engineering and Design.
- Own the whole lifecycle — discovery to launch to iteration — and sweat the craft so the product is genuinely delightful to use.
- Partner across Data Science/AI, Clinical Affairs, Regulatory, Sales, Marketing, and Customer Success, navigating FDA\-regulated development along the way.
- Set detection strategy across diseases (structural heart, heart failure, AFib, pulmonary) and the clinical workflows around them.
- Partner with Data Science to shape algorithm development, validation, and clinical\-grade governance of every output.
- Be Eko's face to KOLs and physicians — build the relationships and evidence that earn clinician trust and adoption.
- Other duties as assigned.
*Note: Job duties may change at any time with or without notice.*
Required Qualifications
- Bachelor's degree in Engineering, Life Sciences, Computer Science, or a related field; advanced or clinical degree (MBA, MS, MD, PhD, RN/NP) preferred.
- 10\+ years of product management experience, or a demonstrated track record of Staff\-level clinical product impact.
- Deep experience in a clinical domain — cardiology and/or pulmonary strongly preferred.
- Track record bringing FDA\-regulated / Software\-as\-a\-Medical\-Device (SaMD) products from concept to launch.
- Demonstrated experience partnering with data science teams on AI/ML products.
- Strong understanding of clinical workflows and how clinicians make decisions at the point of care.
- Executive\-level communication and stakeholder skills; comfortable as a physician\-facing leader.
- Ability to lead complex, cross\-functional initiatives with minimal direction.
- Ability to perform the essential functions of the role with or without reasonable accommodation.
Preferred Qualifications
- Clinical background or advanced clinical / scientific degree (RN/NP, MD, PhD).
- KOL\-network or publication history in cardiology or pulmonology.
- Experience with clinical decision support or diagnostic AI.
- Experience at a high\-growth, venture\-backed digital health or medical\-device company.
- Experience with SaaS / subscription business models.
- Familiarity with healthcare reimbursement (CPT coding) and the provider / payer / health\-system ecosystem.
Work Environment \& Physical Requirements
- Prolonged periods of sitting and working at a computer.
- Travel up to 30% to clinician and customer sites, conferences, and company meetings.
- Must be able to perform job duties with or without reasonable accommodation.
### Why join Eko Health?
### Benefits and Perks We Offer:
- The opportunity to work on products that impact the health of millions of people.
- Generous paid\-time off
- Stock incentive plans
- Medical/Dental/Vision, Disability \+ Life Insurance
- One Medical membership
- Parental Leave
- 401k Matching
- Learning and Development stipend
We believe the ability to listen is the ability to care. Eko was named one of the World’s Top HealthTech Companies of 2025 by TIME and Statista. This honor reflects the mission to transform cardiac and pulmonary care through AI\-powered stethoscopes and digital health solutions.
Case Studies \& Customer Stories
Eko Blog
Newsroom
### Work Experience \& Location Requirements
- This role is a remote position with expected travel. See above for more details on travel expectations.
- Prolonged periods of sitting and working at a computer
- Must be able to perform job duties with or without reasonable accommodation
$169,000 \- $236,000 a year
Compensation for this role is determined using a tiered market\-based compensation structure. Salary ranges are established based on geographic labor market data and may vary depending on the employee’s work location, experience, skills, and qualifications.
Tier 1 $211,650 $236,550 $249,000
Tier 2 $190,485 $212,895 $224,100
Tier 3 $169,320 $189,240 $199,200
Eko is proud to be an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. We are committed to building a diverse and inclusive team.
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 $169K-$249K range is above the median 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 Eko, 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. Senior-level AI roles across all categories have a median of $227,400. Disclosed range: $169K to $249K.
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.
Eko AI Hiring
Eko has 1 open AI role right now. They're hiring across AI Product Manager. Based in Remote, US. Compensation range: $249K - $249K.
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.
Frequently Asked Questions
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