Remote Director of Engineering

Summary

Join Komodo Health as a Senior AI Engineering Manager and lead the company's AI efforts across the engineering organization. You will collaborate with product and data science teams to develop a strategic and technical roadmap, and deliver on it. In this role, you will have a significant impact by helping major life sciences and healthcare companies seamlessly leverage Komodo's data platform to drive transformative outcomes in the industry.

Requirements

• Engineering management experience with AI applications in high-growth engineering organizations directly managing and growing teams of 10+ engineers
• In-depth knowledge and experience in industry-leading technologies in machine learning (ML) and AI
• Developed and delivered successful products from inception to production at scale using cloud technologies for large enterprises
• Working knowledge of a modern programming language (Python preferred), data pipeline engineering, relational database design, web platform development, API design, and distributed systems
• Expertise with industry standard data pipeline and processing tools (Spark, AWS EMR, Hadoop) and data warehousing (Redshift, Snowflake, BigQuery)
• Experience collaborating with Product and Engineering teams to build a high-level roadmap and vision for a team delivering against a collaboratively defined roadmap
• Understand and design for non-functional concerns such as performance, cost optimization, and maintainability
• Experience leading recruiting initiatives, as well as growing and organizing engineering teams
• Ability to work as part of an agile collaborative team in a fast-paced environment

Responsibilities

• Managed, coordinated, and delivered on key initiatives such as developing new AI capabilities in the platform and delivering MapAI product features for our Healthcare Map
• Improved data quality, platform security, and release automation for AI roadmap delivery
• Delivered a scalable foundation for continuous model development, testing, and delivery, as well as other Gen AI features to our customers
• Partnered closely with other teams across the Engineering and Product Organizations, Program Management, and Technical Leads to weigh in on project priorities, project estimation, and risk identification for roadmap projects
• Actively coached and inspired your team with timely and actionable feedback synthesized from peer input
• Contributed to hiring and growing the team by recruiting world-class engineers, ML experts, and Data Scientists

Benefits

• Competitive total rewards package including medical, dental and vision coverage along with a broad range of supplemental benefits
• 401k Retirement Plan
• Prepaid legal assistance
• Paid time off for vacation, sickness, holiday, and bereavement
• 100% company-paid life insurance
• Long-term disability insurance