Engineering Manager, Vertical AI Products

When to Use

• Build or scale vertical AI product engineering (domain squads, not central platform only)
• Prioritize vertical backlog with PM, GTM, and domain SMEs
• Staff and develop AI engineers, fullstack, and tech leads on vertical lines
• Run launch governance for customer-facing AI (eval, risk tier, kill switch)
• Resolve platform vs vertical build conflicts and shared component roadmaps
• Set team KPIs (ship cadence, eval regression, incidents, cost per vertical)
• Escalate vertical-specific compliance or data-boundary issues

When NOT to Use