Engineering Manager, Client Platform Engineering

Details

OpenAI’s Client Platform Engineering team delivers trusted devices at scale across macOS, Windows, iOS, Android, and Linux. The team owns endpoint posture and device trust, application delivery, onboarding, updates, telemetry, workflow orchestration, and employee-facing remediation, partnering with Security, Research, Applied, and specialized engineering groups.

As an Engineering Manager, you will lead the strategy, delivery, and operation of OpenAI’s cross-platform client foundation. You will combine people leadership with strong technical judgment by setting direction, developing engineers, reviewing architecture and tradeoffs, and creating operating mechanisms that turn ambiguous needs into durable platform outcomes.

Responsibilities

• Lead and develop a high-performing engineering team by hiring thoughtfully, coaching engineers, creating clarity, and fostering an inclusive, high-accountability culture.
• 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 goals, ownership, planning, design reviews, and execution rhythms that enable speed without sacrificing quality.
• Improve reliability and evidence-backed security through observability, drift detection, staged rollouts, release gates, rollback paths, incident learning, runbooks, and operational ownership.
• Use telemetry to measure friction and outcomes, and improve platform experiences before issues become tickets.
• Partner with Security, IT, Research, Applied, Product, and specialized engineering teams to align priorities and implement company-wide changes.
• Balance security and compliance controls with developer velocity, employee experience, and operational simplicity.
• Define where agents can act, where humans approve, and how actions are evaluated, audited, and reversed.
• Use adoption, reliability, security posture, data freshness, employee experience, workflow completion, friction, agent effectiveness, and operational-load metrics to guide investment and communicate impact.
• Join the team’s engineering on-call rotation after ramp-up.

Requirements

• 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.
• Strong software and infrastructure engineering judgment at scale; deep endpoint expertise is strongly preferred.
• Experience reviewing architecture, automation, code, IaC/GitOps, CI/CD, observability, and operational tradeoffs.
• Experience operating infrastructure with significant security or identity risk through staged rollouts and incidents while balancing risk, compliance, and employee or developer experience.
• Experience building inclusive teams, communicating clearly and candidly, and influencing partners across Security, IT, Product, and Engineering.
• Experience with one or more client-platform ecosystems such as Jamf, Intune, Android Enterprise, FleetDM/osquery, Munki/AutoPkg, or Linux configuration management.
• Experience building internal platforms or services for application delivery, device posture and trust, onboarding, notifications, workflow orchestration, or fleet telemetry.
• Familiarity with cloud infrastructure, Terraform, Kubernetes and containers, service orchestration, and large-scale observability.
• Experience partnering with security, compliance, or privacy teams in high-assurance environments.
• Experience supporting research, developer, robotics, hardware-lab, or other specialized computing environments is beneficial.
• Contributions to open-source tooling, engineering communities, or cross-company technical standards are beneficial.

Benefits

• Base salary of $401,000–$445,000 per year.
• Equity, performance-related bonuses for eligible employees, and comprehensive benefits.
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, company holidays, office closures, and paid sick or safe time.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily meals in offices and eligible meal delivery credits.
• Relocation support for eligible employees.

This role is based in San Francisco, California, with additional locations in New York City and Seattle. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.