About the Role
This role involves leading engineering efforts in AI product development, working cross-functionally to define strategy, build innovative systems, and scale solutions across major U.S. health systems.
Responsibilities
- Lead a group of AI/ML, data, and full-stack engineers focused on delivering AI-first software products.
- Design team structure and functions, and build a high-performing engineering culture through strategic hiring, mentorship, and retention.
- Partner with product, engineering, AI research, and data science teams to set strategic objectives and define the AI product roadmap.
- Take an active role in recruiting, hiring, and integrating new engineering talent.
- Drive innovation in early-stage product development by testing and applying cutting-edge AI/ML methods to improve user experiences.
- Promote agile practices and DevOps standards to ensure continuous improvement, automated testing, operational reliability, and efficient software releases.
- Support the creation of a diverse and inclusive engineering environment through inclusive hiring and participation in community initiatives.
- Work across the organization to strengthen mentoring and professional development programs.
Requirements
- Minimum of three years managing engineering teams, with a focus on recruiting top-tier talent and building outcome-oriented engineering groups.
- Proven experience leading teams that develop large-scale products in areas such as search, ranking, or generative AI.
- Passion for launching new products from concept to market, with a history of building agile teams that deliver innovative solutions quickly.
- Strong programming skills in modern languages including Python, Java, Go, Rust, TypeScript, Kotlin, or C#.
- Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
Nice to Have
- Prior experience in healthcare or revenue cycle management is strongly preferred, though not mandatory.
Benefits
- Comprehensive and competitive benefits offering.
- Eligibility for the annual performance-based bonus program.
Work Arrangement
Hybrid — New York City
Team
The Engineering Manager oversees a team of AI/ML, data, and full-stack engineers and works closely with product, engineering, AI research, and data science teams to advance AI product development.
About Us
Phare Health is now integrated into R1’s AI innovation division, R37 Lab, combining advanced clinical reasoning technology with one of the largest healthcare platforms in the U.S. The team is developing the first AI-native Healthcare Revenue Operating System—a unified platform that interprets full medical records, payer rules, and financial workflows to automate medical coding, billing, and follow-up. Supported by real-world data and distribution, the system operates nationally and powers production workflows across 95 of the top 100 U.S. health systems. It processes over 180 million claims, 550 million patient encounters, and 1.2 billion workflow actions annually. This role offers startup-level ownership with enterprise-scale impact, building AI systems that ship, scale, and improve healthcare operations.
Interview Logistics Notice
Selected candidates will attend an in-person interview. Those near San Francisco, New York, Austin, or Chicago will meet locally. Candidates from other regions will have travel arranged and covered. The company is committed to equal employment opportunity and an inclusive hiring experience for all applicants.
