About the position Hover is looking for an Engineering Manager to lead our Infrastructure and Security team and help shape how engineering scales as our systems grow in complexity. This role sits at the intersection of DevOps, internal platform development, security engineering, and applied research. We don’t treat Infrastructure as a cost center or a ticket-taking IT function, we treat it as a product team. Your customers are our Product Engineers building customer-facing web applications, and our Research Scientists developing Generative models and Computer Vision systems. Your product is the platform that enables them to ship code safely, quickly, and reliably, even as our technical complexity increases. As an Engineering Manager, you’ll stay close to the code while taking on real ownership over systems that power the rest of engineering. Our product teams ship web apps; our research teams train large, GPU-intensive models, and today the highest friction lives at the boundary between experimentation and production. We want you to help bridge that gap by building tooling and defaults that make security, deployment, and scale feel seamless rather than burdensome. Your success won’t be measured by how many tickets you close, but by the leverage you create: faster iteration, fewer sharp edges, and an infrastructure platform that engineers trust and enjoy using. You will contribute by In this role, you will own Infrastructure as a product, working directly with engineers and researchers to identify friction, set a clear platform roadmap, and improve build speed, reliability, and deployment workflows. You’ll lead and own the Security function, managing core domains like IAM, MFA, and SCIM while acting as the bridge between Engineering, Legal, Compliance, and Corporate Security to deliver secure-by-default systems that don’t slow teams down. As a hands-on, first-level manager, you’ll lead and mentor a small infrastructure team while remaining technically active, spending roughly 30-50% of your time contributing to Go-based tooling, Terraform, and modeling strong DevOps practices. You’ll partner closely with Research to operationalize Generative AI and Computer Vision pipelines, improving developer experience around complex build environments, C++ dependencies, and GPU-based workflows as models move into production. Our platform runs primarily on GCP, with Kubernetes and Terraform at the core. Internal services and CLIs are written in Go, security covers the domains of IAM, MFA, SCIM, secure coding practices, and cloud security and the teams you support build in React, Ruby on Rails, Python, and C++.
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Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
Number of Employees
251-500 employees