Remote AI Engineering Manager - Lead High-Impact Team

turquoise-health; United States; Remote; USD 190,000 - 250,000; Full time

Benefits offered by this job

Competitive pay

Equity options

Remote-friendly

Health insurance

401(k) matching

Unlimited PTO

Professional development stipend

Home office budget

Job summary

Turquoise Health is seeking a Senior Manager of the AI Team to guide a high-performing engineering group building AI applications and integrations across the platform. This role blends people leadership (about 60%) with hands-on technical contribution (about 40%).

You will partner with Product, Design, and Engineering to shape AI use across the company. Responsibilities include coaching engineers, translating strategy into roadmaps, and owning API/infrastructure decisions, while maintaining an

Qualifications

• 6+ years of production experience in Python.
• 2+ years of managing a team.
• Hands-on experience with modern AI/ML tools and frameworks.

Responsibilities

• Manage and coach a team of engineers with regular feedback.
• Structure and communicate status and quality metrics for deliverables.
• Translate strategy into actionable roadmaps and engineering plans.
• Build an inclusive high-performing culture on the team.
• Contribute to the design and implementation of production systems.
• Own architectural decisions involving API design, integrations, and infrastructure.
• Lead operational readiness including observability and testing.
• Keep AI applications efficient and cost-effective as we scale.

Skills

Python

Team leadership

AI/ML tools

System design

Cross-functional collaboration

Communication

Tools

APIs

Observability

Cloud infrastructure

Job description

Turquoise Health is seeking a Senior Manager of the AI Team to guide a high-performing engineering group building AI applications and integrations across the platform. This role blends people leadership (about 60%) with hands-on technical contribution (about 40%).

You will partner with Product, Design, and Engineering to shape AI use across the company. Responsibilities include coaching engineers, translating strategy into roadmaps, and owning API/infrastructure decisions, while maintaining an