Engineering Manager

- Lead and Support Teams: Lead a team of AI/ML, data, and full-stack engineers to deliver AI-native products. Define the organizational structure and necessary functions and cultivate a high-performing team through effective recruitment, mentorship, and retention strategies

- Collaborate Across Functions: 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

- Drive Innovation: Spearhead innovation in 0->1 product areas by exploring and implementing new AI/ML technologies and techniques to enhance user experience

- Agile Methodologies and DevOps Practices: Champion agile methodologies and DevOps best practices within the team, fostering a culture of continuous improvement, automated testing, operational excellence and efficient software delivery and release

- Foster a Diverse and Inclusive Culture: 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

- 3+ years of experience hiring and leading teams as an engineering manager; with 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#

Healthcare or Revenue Cycle Management (RCM) experience is highly preferred but not required.