Latest Engineering Management jobs at Genius AI

Leads a platform engineering team responsible for shared systems, identity, permissions, session management, and messaging infrastructure. The manager owns delivery and architecture, develops engineers, embeds AI into development workflows, and partners closely with Product and Design.

Leads Compute, Data, and Developer Experience teams, owning infrastructure strategy, reliability, developer enablement, vendor spend, and team growth. The role requires 8+ years of infrastructure or platform experience, 4+ years of engineering leadership, and deep expertise in AWS, Kubernetes, Terraform, ArgoCD, and observability.

Leads multiple engineering teams, sets technical direction, and delivers complex product initiatives from inception through launch. Requires 8+ years of engineering experience, including 3+ years managing or leading software engineering teams, plus meaningful AI tooling experience.