Engineering Manager - AI/ML

Job Summary

To enable a high-performing AI Engineering team, the full-time remote Engineering Manager - AI/ML will guide Senior and Staff engineers in delivering user-facing features and architecting core AI/ML infrastructure while fostering a culture of technological synergy in mental healthcare.

Key responsibilities

• Lead the engineering team in rapidly delivering AI features such as transcript summarization and search relevance
• Architect and manage core AI/ML infrastructure, including feature stores and AI observability platforms
• Ensure solutions and models scale safely while maintaining a balance between execution speed and clinical safety

Required qualifications

• 8+ years of software engineering and machine learning experience, with 5+ years in distributed backend systems in cloud environments
• 3+ years of engineering management experience, with a track record in hiring and managing Senior and Staff-level engineers
• 3+ years of experience in leading or building core ML infrastructure, such as MLOps pipelines and model deployment systems
• 2+ years of experience in developing production-grade applied AI features, particularly with LLM integrations
• Proven ability to manage the delivery of user-facing product features and backend infrastructure across multiple release cycles