Sr. Director | Engineering, ML

Responsibilities

• Lead and grow the AI/ML Engineering team, coordinating execution across data scientists on collaborative projects.
• Design, deliver, and operate the core AI/ML platform: agent frameworks, evaluation harnesses, labeling systems, document processing systems, semantic search, knowledge bases, model hosting.
• Run AI/ML systems at scale in production with reliability, observability, performance, and incident response.
• Create processes to turn proof-of-concept code from Data Science into production-grade services.
• Partner with the Chief AI Officer and Product Manager to build forward-looking product strategy.
• Run stand-ups, capacity planning, and drive predictability across engineering and data science.
• Provide leadership to ensure the cross-functional team can utilize AI technologies for coding, PR reviews, testing, observability, and incident response.

Requirements

• BS or MS in Computer Science (or equivalent experience).
• 5+ years managing teams of ~8+ engineers with hands-on technical leadership.
• 8+ years direct hands-on technical contributor experience in backend services.
• 3+ years building AI/ML production-grade services at scale for multiple use cases, with direct collaboration with data science and engineering.
• Strong in Java, Scala, Rust, or similar backend languages, plus Python.
• Understanding of productizing ML/AI platforms — workflows, serving, observability, reliability, and scale.
• Fluent in data science concepts to partner effectively with DS leadership.
• Strong communicator, organized, proactive, comfortable with ambiguity.

Nice to Have

• Healthcare domain experience.

Benefits

• Work from anywhere in the US.
• Top Medical/Dental/Vision, FSA/HSA, tuition reimbursement.
• Competitive salary, 401(k) with company match.
• Unlimited PTO, additional health and wellness benefits.
• Flexible and trusting environment.