Suki is creating a new category in the health-tech space: Ambient Clinical Intelligence. Our AI-native products and platforms help power clinical workflows via ambient presence. We're looking for a Senior Engineering Manager for our AI Engineering team to lead the development of new Clinical Intelligence features.
Requirements
- 7+ years of total experience in Software Engineering management
- 3+ years leading high-performing teams of ML/DS engineers in a fast-paced SaaS environment
- Technical fluency in NLP and ASR, specifically in the context of ambient sensing, large language models (LLMs), or agentic architectures
- A proven track record of overseeing the full end-to-end lifecycle of multiple enterprise-grade model-driven services from research to large-scale production deployment
- Ability to guide the team in building robust, distributed backend services for AI applications
- Strong experience in MLOps at scale, ensuring the team has the tooling and infrastructure to iterate quickly and ship reliably
- An advanced degree in Computer Science or a related field, with a rigorous grasp of algorithms, data structures, and the ability to review complex code in Golang or Python
- Exceptional ability to translate ambiguous business requirements into concrete technical designs that drive user impact in the healthcare space
- Excellent written/verbal communication, interpersonal and collaboration skills
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Relocation Assistance