{"schemaVersion":"jobsearcher.job.v1","id":"dc8e60f0504cc720acdfc15a","url":"https://jobsearcher.com/jobs/dc8e60f0504cc720acdfc15a","canonicalUrl":"https://jobsearcher.com/jobs/dc8e60f0504cc720acdfc15a","title":"Engineering Manager, Client Platform Engineering","description":"About the TeamOpenAI's Client Platform Engineering (CPE) team delivers trusted devices at scale: secure by default, reliable by design, and effortless to use. We own platform capabilities across macOS, Windows, iOS, Android, and Linux, spanning endpoint posture and device trust, application delivery, onboarding, updates, telemetry, workflow orchestration, and employee-facing remediation. 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.\r\nAbout the RoleAs 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. This is a high-leverage role at the intersection of security, reliability, developer velocity, and employee experience. CPE is a highly technical platform engineering organization delivering first-party services, automation, observability, and safe fleet operations. We're looking for a leader who can guide its next chapter, scaling the team and its systems, partnering across the company, and raising the bar for secure, reliable, low-friction experiences across every supported platform.\r\nIn this role, you will: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.\r\nDefine 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.\r\nProvide technical direction for endpoint posture, device trust, application delivery, device onboarding, updates, fleet telemetry, workflow orchestration, and employee-facing remediation.\r\nLead the team to rethink the platform from first principles as Codex and agent capabilities advance: what software needs to be built, what agents can own end to end, and which employee workflows no longer need to exist.\r\nGuide architecture and engineering tradeoffs across first-party services, open-source tooling, SaaS platforms, IaC/GitOps, CI/CD, and cloud infrastructure.\r\nDecide what to build, buy, standardize, retire, or redesign as AI changes what the platform can do.\r\nEstablish clear goals, ownership, planning, design reviews, and execution rhythms that let the team move quickly without sacrificing quality.\r\nRaise 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. Use telemetry to see friction, measure outcomes, and improve before issues become tickets.\r\nPartner with Security, IT, Research, Applied, Product, and specialized engineering teams to align priorities and land company-wide changes, dogfood OpenAI products in real employee workflows, and continuously improve internal platforms.\r\nBalance strong 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.\r\nUse adoption, reliability, evidence-backed security posture, data freshness, employee experience, workflow completion, friction, agent effectiveness, and operational-load metrics to steer investment and communicate impact.\r\nPartner with IT and Security teams to compound CPE's impact across employee experience, security posture, and operational scale.\r\nYou may be a fit for this role if you have:Built and led teams that owned secure, reliable, mission critical services and infrastructure at scale, from strategy through production operations.\r\nDelivered internal platforms, tooling, and services that materially improved reliability, security, and employee experience.\r\nMade sound software and infrastructure engineering decisions at scale. Deep endpoint expertise is strongly preferred.\r\nRaised production readiness through direct technical review of architecture, automation, code, IaC/GitOps, CI/CD, observability, and operational tradeoffs.\r\nOperated infrastructure with material security or identity risk through staged rollouts, incidents, and decisions that balanced risk, compliance, and employee or developer experience.\r\nCommitted to joining the team’s engineering on call rotation after ramp up and using firsthand operational context to improve reliability and reduce toil.\r\nBuilt inclusive teams that do excellent work, communicated with clarity and candor, and influenced partners across Security, IT, and Product/Engineering.\r\nYou might thrive in this role if you 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.\r\nExperience building internal platforms or services for app delivery, device posture/trust, onboarding, notifications, workflow orchestration, or fleet telemetry.\r\nFamiliarity with cloud infrastructure, Terraform, Kubernetes/containers, service orchestration, and large-scale observability.\r\nExperience partnering with security, compliance, or privacy teams in high-assurance environments.\r\nExperience supporting research, developer, robotics, hardware-lab, or other specialized computing environments.\r\nA record of contributing to open-source tooling, engineering communities, or cross-company technical standards.\r\nThis role is based in San Francisco, CA. We offer relocation assistance to new employees.\r\nAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all.#J-18808-Ljbffr","company":"Engg","rawCompany":"engg","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-04T02:16:35.204Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Engineering Manager, Client Platform Engineering","description":"About the TeamOpenAI's Client Platform Engineering (CPE) team delivers trusted devices at scale: secure by default, reliable by design, and effortless to use. We own platform capabilities across macOS, Windows, iOS, Android, and Linux, spanning endpoint posture and device trust, application delivery, onboarding, updates, telemetry, workflow orchestration, and employee-facing remediation. 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.\r\nAbout the RoleAs 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. This is a high-leverage role at the intersection of security, reliability, developer velocity, and employee experience. CPE is a highly technical platform engineering organization delivering first-party services, automation, observability, and safe fleet operations. We're looking for a leader who can guide its next chapter, scaling the team and its systems, partnering across the company, and raising the bar for secure, reliable, low-friction experiences across every supported platform.\r\nIn this role, you will: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.\r\nDefine 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.\r\nProvide technical direction for endpoint posture, device trust, application delivery, device onboarding, updates, fleet telemetry, workflow orchestration, and employee-facing remediation.\r\nLead the team to rethink the platform from first principles as Codex and agent capabilities advance: what software needs to be built, what agents can own end to end, and which employee workflows no longer need to exist.\r\nGuide architecture and engineering tradeoffs across first-party services, open-source tooling, SaaS platforms, IaC/GitOps, CI/CD, and cloud infrastructure.\r\nDecide what to build, buy, standardize, retire, or redesign as AI changes what the platform can do.\r\nEstablish clear goals, ownership, planning, design reviews, and execution rhythms that let the team move quickly without sacrificing quality.\r\nRaise 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. Use telemetry to see friction, measure outcomes, and improve before issues become tickets.\r\nPartner with Security, IT, Research, Applied, Product, and specialized engineering teams to align priorities and land company-wide changes, dogfood OpenAI products in real employee workflows, and continuously improve internal platforms.\r\nBalance strong 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.\r\nUse adoption, reliability, evidence-backed security posture, data freshness, employee experience, workflow completion, friction, agent effectiveness, and operational-load metrics to steer investment and communicate impact.\r\nPartner with IT and Security teams to compound CPE's impact across employee experience, security posture, and operational scale.\r\nYou may be a fit for this role if you have:Built and led teams that owned secure, reliable, mission critical services and infrastructure at scale, from strategy through production operations.\r\nDelivered internal platforms, tooling, and services that materially improved reliability, security, and employee experience.\r\nMade sound software and infrastructure engineering decisions at scale. Deep endpoint expertise is strongly preferred.\r\nRaised production readiness through direct technical review of architecture, automation, code, IaC/GitOps, CI/CD, observability, and operational tradeoffs.\r\nOperated infrastructure with material security or identity risk through staged rollouts, incidents, and decisions that balanced risk, compliance, and employee or developer experience.\r\nCommitted to joining the team’s engineering on call rotation after ramp up and using firsthand operational context to improve reliability and reduce toil.\r\nBuilt inclusive teams that do excellent work, communicated with clarity and candor, and influenced partners across Security, IT, and Product/Engineering.\r\nYou might thrive in this role if you 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.\r\nExperience building internal platforms or services for app delivery, device posture/trust, onboarding, notifications, workflow orchestration, or fleet telemetry.\r\nFamiliarity with cloud infrastructure, Terraform, Kubernetes/containers, service orchestration, and large-scale observability.\r\nExperience partnering with security, compliance, or privacy teams in high-assurance environments.\r\nExperience supporting research, developer, robotics, hardware-lab, or other specialized computing environments.\r\nA record of contributing to open-source tooling, engineering communities, or cross-company technical standards.\r\nThis role is based in San Francisco, CA. We offer relocation assistance to new employees.\r\nAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all.#J-18808-Ljbffr","datePosted":"2026-10-04T02:16:35.204Z","dateModified":"2026-10-04T02:16:35.204Z","hiringOrganization":{"@type":"Organization","name":"Engg","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dc8e60f0504cc720acdfc15a"},"url":"https://jobsearcher.com/jobs/dc8e60f0504cc720acdfc15a"}}