LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™. Backed by General Catalyst.
About the role
Lila is hiring a Staff IT Systems Engineer, Endpoints to own the architecture and roadmap for endpoint management across the company. This role sits within IT & Security and supports the technology every scientist, engineer, and employee relies on, including laptops, mobile devices, specialized research compute, endpoint security, and device trust. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Deep experience in IT systems engineering, endpoint engineering, infrastructure, or platform engineering, with staff-level technical ownership
- Strong experience with modern MDM or UEM platforms such as Jamf, Intune, Workspace ONE, or similar tools
- Experience managing endpoint configuration through code, automation, version control, staged rollout, or CI/CD practices
- Strong systems knowledge across macOS and Windows endpoint environments
- Ability to build and maintain automation using Python, Bash, PowerShell, APIs, or similar tooling
- Experience using AI-assisted engineering, LLM APIs, internal copilots, or agentic automation to reduce operational toil in IT, endpoint, infrastructure, or platform operations
More about this role
Lila is hiring a Staff IT Systems Engineer, Endpoints to own the architecture and roadmap for endpoint management across the company. This role sits within IT & Security and supports the technology every scientist, engineer, and employee relies on, including laptops, mobile devices, specialized research compute, endpoint security, and device trust.
We treat endpoint management as a software engineering discipline. Configuration, policy, remediation, and fleet operations should move through code, CI/CD, staged rollout, observability, and automated rollback. This is a hands-on staff-level role for someone who can set technical standards, build missing tooling, mentor engineers, and lead cross-functional initiatives across IT, Security, Research Computing, and Lab Operations.
As Lila scales its workforce and physical footprint, endpoint systems need to become more automated, secure, auditable, and seamless. The right person will help employees and scientists become productive faster while reducing device risk, operational noise, and manual toil.
- Own the architecture and roadmap for Lila’s endpoint fleet across macOS, Windows, Linux, mobile devices, and specialized research or lab...
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