OpenAI
Engineering Manager, Client Platform Engineering
$445K
San Francisco +2 · Hybrid · Manager · Full-time · Posted Sep 8, 2026
- Location
- San Francisco
New York City
Seattle
About the job
Leads the Client Platform Engineering team and its strategy, technical delivery, and operations for secure, reliable employee computing across supported platforms.
What you'll do
- Lead, hire, and develop engineers; set team goals, ownership, and execution practices.
- Define and deliver the multi-year client-platform roadmap across macOS, Windows, iOS, Android, and Linux.
- Guide platform architecture and operations, including security, reliability, fleet management, and agent-enabled employee workflows.
What they ask for
- Experience building and leading teams responsible for secure, reliable, mission-critical services and infrastructure at scale, from strategy through production operations.
- Experience delivering internal platforms, tooling, and services that improve reliability, security, and employee experience.
- Sound software and infrastructure engineering judgment at scale, including direct technical review of architecture, automation, code, IaC/GitOps, CI/CD, observability, and operational tradeoffs.
- Experience operating infrastructure with material security or identity risk and participation in the engineering on-call rotation after ramp-up.
Nice to have
- Deep endpoint expertise or experience with client-platform ecosystems such as Jamf, Intune, Android Enterprise, FleetDM/osquery, Munki/AutoPkg, or Linux configuration management.
- Experience building internal platforms for app delivery, device posture/trust, onboarding, workflow orchestration, or fleet telemetry.
Pay
$401K – $445K USD base salary
Tools
macOS, Windows, iOS, Android, Linux, IaC/GitOps, CI/CD, Terraform
AI focus
Guide how Codex and agents reshape employee computing, including deciding what to build, what agents can operate end to end, which workflows can be eliminated, and where human approval, evaluation, auditing, and reversibility are needed.
Model-written summary · the original posting is authoritative