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Client Platform Engineer

OpenAI

Client Platform Engineer is a still-open role at OpenAI on Jobrow. Location: Hybrid · San Francisco · California · United States. Listed pay: $347k–$445k. Sourced from the company's public Ashby board. First seen 17 days ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$347k–$445k
Workplace
Hybrid
Location
San Francisco · California · United States
First seen
17 days ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

ABOUT THE TEAM OpenAI’s Client Platform Engineering team builds and operates the platforms that make employee devices secure, reliable, and easy to use.

  • Function: Security
  • Seniority: mid

Location & pay

Hybrid · San Francisco · California · United States Listed pay on Jobrow: $347k–$445k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 17 days ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

ABOUT THE TEAM OpenAI’s Client Platform Engineering team builds and operates the platforms that make employee devices secure, reliable, and easy to use. Our work spans device posture and trust, onboarding, application delivery, operating-system updates, fleet telemetry, and employee-facing remediation. We partner with Security, IT, Research, Applied, and specialized engineering teams to reduce friction while protecting OpenAI’s systems and data. ABOUT THE ROLE As a Client Platform Engineer, You will build and own agentic solutions that automate OAI fleet operations and reduce employee friction, with measurable outcomes and reliability. You will develop first-party software, integrate commercial and open-source tools, and own changes from design and testing through deployment and production operations. Your work will improve security, reliability, and the employee experience. We’re looking for people who are passionate about automation, endpoint security, and building scalable solutions that improve employee experience. You should have deep experience securing and managing Linux fleets at scale, with strong software engineering skills to automate security controls and fleet operations across environments with different compliance requirements. Your problem-solving mindset and attention to detail will be key to success in this role. In this role, you will: Build the platforms that help employees do their best work on devices they can trust. - Own the design, development, deployment, and operation of secure Linux endpoint management systems across environments with different compliance requirements. - Create magical employee experiences by building agentic workflows with OpenAI products and models that use fleet telemetry to anticipate issues, guide remediation, and design friction out of everyday work. - Make new hires productive from day one, using OpenAI products to simplify device setup, software delivery, and onboarding support. - Build secure, reliable workflows with scoped access, human review for sensitive changes, traceable actions, and tested recovery. - Partner with IT, Security, Research, and Engineering to deliver consistent Linux provisioning, updates, and support alongside macOS and Windows. - Develop first-party software and integrate commercial and open-source tools for software packaging, deployment, and application management. - Manage fleet configuration as code through GitOps, version control, peer review, and autom

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