Engineering Manager, Applied AI
Core
Lead engineering teams to build systems that improve AI model quality, including evaluation infrastructure, annotation products, and multimodal capabilities.
Role type
Engineering Manager, Applied AI
Builds
Evaluation infrastructure, annotation products, multimodal capabilities, and systems for high-quality training data
Domain
Artificial Intelligence / Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Team leadership, system design, technical judgment, coaching, execution management, hiring, process definition
Preferred skills
Experience in ambiguous environments, pragmatic decision-making, scaling organizations
Technologies
AI evaluation systems, annotation platforms, multimodal systems
Responsibilities
Manage and grow a team of 6–10 engineers, drive insights and methodology for evaluation systems, lead system design for complex AI systems, partner with product and research teams, shape engineering management practices
Seniority
Manager, hands-on leadership