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About the Role

Lead and support teams of AI/ML, data, and full-stack engineers to deliver AI-native products. Define organizational structure, necessary functions, and cultivate a high-performing team through effective recruitment, mentorship, and retention strategies. Collaborate closely with product, engineering, AI research, and data science teams to define strategic goals and establish a roadmap for AI product development. Spearhead innovation in 0->1 product areas by exploring and implementing new AI/ML technologies and techniques. Champion agile methodologies and DevOps best practices, fostering a culture of continuous improvement, automated testing, operational excellence, and efficient software delivery. Contribute to building a diverse and inclusive team and culture.

Responsibilities

Lead a team of AI/ML, data, and full-stack engineers to deliver AI-native products.
Define the organizational structure and necessary functions.
Cultivate a high-performing team through effective recruitment, mentorship, and retention strategies.
Work closely with product, engineering, AI research, and data science teams to define strategic goals and establish a roadmap for AI product development.
Play a key role in hiring, recruiting, and onboarding new talent.
Spearhead innovation in 0->1 product areas by exploring and implementing new AI/ML technologies and techniques to enhance user experience.
Champion agile methodologies and DevOps best practices within the team.
Foster a culture of continuous improvement, automated testing, operational excellence and efficient software delivery and release.
Contribute to building a diverse and inclusive team and culture.
Support initiatives through hiring, community events, and other programs.
Collaborate with teams across R37 to enhance mentoring and development efforts.

Requirements

3+ years of experience hiring and leading teams as an engineering manager.
Expertise in recruiting exceptional talent to build high-performing teams that deliver outcome-driven solutions.
Knowledge and experience leading teams building products such as Search, Ranking, or generative AI products at a significant scale.
Excitement and curiosity for 0->1 product development with a track record of crafting fast-moving organizations that turn innovative ideas into successful products.
Proficiency in modern programming languages such as Python, Java, Go, Rust, TypeScript, Kotlin, or C#.
Experience with cloud infrastructure (AWS, GCP, or Azure).
Healthcare or Revenue Cycle Management (RCM) experience is highly preferred but not required.
Selected candidates will participate in an in-person interview.
Candidates located near one of our talent hubs—San Francisco, New York, Austin, or Chicago—will be scheduled to meet with team members in those locations.
For candidates residing outside these areas, we will arrange travel to a hub for the interview.
Travel accommodation will be provided as needed.

Skills

AI/ML
Data Engineering
Full-Stack Engineering
Product Development
Recruitment
Mentorship
Retention Strategies
AI Research
Data Science
AI/ML Technologies
Agile Methodologies
DevOps Best Practices
Automated Testing
Operational Excellence
Software Delivery
Python
Java
Go
Rust
TypeScript
Kotlin
C#
AWS
GCP
Azure

Location

New York City

Work Type

Hybrid (3 days onsite)

Experience Level

3+ years of experience hiring and leading teams as an engineering manager

Salary/Compensations

$140,000.00-$300,000 per year
Eligible to participate in our annual bonus plan

Benefits

Competitive benefits package

About the Company

Phare Health is now part of R1 and its AI innovation engine, R37 Lab, bringing Phare’s frontier clinical reasoning technology together with one of the largest healthcare platforms in the U.S.
At R37 and Phare, we are building the first AI-native Healthcare Revenue Operating System: a connected platform that reasons over full medical records, payer logic, and financial workflows to automate medical coding, billing, and follow-up.
Backed by real customers, real data, and real distribution, we operate on a national scale.
Our agentic AI systems already power production workflows across 95 of the top 100 U.S. health systems, processing hundreds of millions of patient encounters each year.
This is startup-level ownership with enterprise-level impact.
If you want to build AI that ships, scales, and measurably improves how healthcare works, this is the place to do it.
The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up.
On our growing team you’ll find the opportunity to constantly learn, collaborate across groups, and explore new paths for your career.
Our associates are given the chance to contribute, think boldly, and create meaningful work that makes a difference in the communities we serve around the world.
We go beyond expectations in everything we do.
Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team.
To learn more, visit: R1RCM.com
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Equal Opportunity

We are committed to providing equal employment opportunities and ensuring a fair and inclusive experience for all applicants.
R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity.
The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law.
Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.
If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance.
CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights California Consent
For applicants outside of California: Please review our policy - R1 Non-Disclosure Consent