Description
Compensation
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $401K - $445K per year, with additional compensation including generous equity, performance-related bonuses, and benefits.
Benefits
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
About the Team
OpenAI's Client Platform Engineering (CPE) team delivers trusted devices at scale: secure by default, reliable by design, and effortless to use. The team partners deeply with Security, Research, Applied, and specialized engineering groups to enable and protect OpenAI while reducing friction for the people advancing our mission.
About the Role
As an Engineering Manager for CPE, you will lead a team of engineers responsible for the strategy, delivery, and operation of OpenAI's cross-platform client foundation. You will combine people leadership with strong technical judgment: setting direction, developing engineers, reviewing architecture and tradeoffs, and creating the operating mechanisms that turn ambiguous needs into durable platform outcomes.
Responsibilities
- Lead and develop a high-performing engineering team; hire thoughtfully, coach engineers, create clarity, and foster an inclusive, high-accountability culture that pushes perceived limits.
- Define and execute a multi-year client-platform strategy and roadmap across macOS, Windows, iOS, Android, and Linux, including how Codex and agents can reshape employee computing.
- Provide technical direction for endpoint posture, device trust, application delivery, device onboarding, updates, fleet telemetry, workflow orchestration, and employee-facing remediation.
- Guide architecture and engineering tradeoffs across first-party services, open-source tooling, SaaS platforms, IaC/GitOps, CI/CD, and cloud infrastructure.
- Establish clear goals, ownership, planning, design reviews, and execution rhythms that let the team move quickly without sacrificing quality.
- Raise the bar for reliability and evidence-backed security through observability, drift detection, staged rollouts, release gates, rollback paths, incident learning, runbooks, and healthy operational ownership.
- Partner with Security, IT, Research, Applied, Product, and specialized engineering teams to align priorities and land company-wide changes.
Requirements
- Built and led teams that owned secure, reliable, mission-critical services and infrastructure at scale, from strategy through production operations.
- Delivered internal platforms, tooling, and services that materially improved reliability, security, and employee experience.
- Made sound software and infrastructure engineering decisions at scale.
- Raised production readiness through direct technical review of architecture, automation, code, IaC/GitOps, CI/CD, observability, and operational tradeoffs.
- Operated infrastructure with material security or identity risk through staged rollouts, incidents, and decisions that balanced risk, compliance, and employee or developer experience.
Nice to Have
- Deep experience with one or more client-platform tool ecosystems such as Jamf, Intune, Android Enterprise, FleetDM/osquery, Munki/AutoPkg, or Linux configuration management.
- Experience building internal platforms or services for app delivery, device posture/trust, onboarding, notifications, workflow orchestration, or fleet telemetry.
- Familiarity with cloud infrastructure, Terraform, Kubernetes/containers, service orchestration, and large-scale observability.
- Experience partnering with security, compliance, or privacy teams in high-assurance environments.