{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/cluster-management"},"x-facet":{"type":"skill","slug":"cluster-management","display":"Cluster Management","count":4},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8f706224-663"},"title":"Specialist Solutions Architect - Cloud Infrastructure & Security","description":"<p>As a Specialist Solutions Architect (SSA) - Cloud Infrastructure &amp; Security, you will guide customers in the administration and security of their Databricks deployments.</p>\n<p>You will be in a customer-facing role, working with and supporting Solution Architects, which requires hands-on production experience with public cloud - AWS, Azure, and GCP.</p>\n<p>SSAs help customers with the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Platform.</p>\n<p>As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be cloud deployments, security, networking, or more.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Provide technical leadership to guide strategic customers to the successful administration of Databricks, ranging from design to deployment</li>\n</ul>\n<ul>\n<li>Architect production-level deployments, including meeting necessary security and networking requirements</li>\n</ul>\n<ul>\n<li>Become a technical expert in an area such as cloud platforms, automation, security, networking, or identity management</li>\n</ul>\n<ul>\n<li>Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content and custom architectures</li>\n</ul>\n<ul>\n<li>Provide tutorials and training to improve community adoption (including hackathons and conference presentations)</li>\n</ul>\n<ul>\n<li>Contribute to the Databricks Community</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years of experience in a technical role with expertise in at least one of the following:</li>\n</ul>\n<ul>\n<li>Cloud Platforms &amp; Architecture: Cloud Native Architecture in CSPs such as AWS, Azure, and GCP, Serverless Architecture</li>\n</ul>\n<ul>\n<li>Security: Platform security, Network security, Data Security, Gen AI &amp; Model Security, Encryption, Vulnerability Management, Compliance</li>\n</ul>\n<ul>\n<li>Networking: Architecture design, implementation, and performance</li>\n</ul>\n<ul>\n<li>Identify management: Provisioning, SCIM, OAuth, SAML, Federation</li>\n</ul>\n<ul>\n<li>Platform Administration: High availability and disaster recovery, cluster management, observability, logging, monitoring, audit, cost management</li>\n</ul>\n<ul>\n<li>Infrastructure Automation and InfraOps with IaC tools like Terraform</li>\n</ul>\n<ul>\n<li>Maintain and extend the Databricks environment to adapt to evolving complex needs.</li>\n</ul>\n<ul>\n<li>Deep Specialty Expertise in at least one of the following areas:</li>\n</ul>\n<ul>\n<li>Security - understanding how to secure data platforms and manage identities</li>\n</ul>\n<ul>\n<li>Complex deployments</li>\n</ul>\n<ul>\n<li>Public Cloud experience - experience designing data platforms on cloud infrastructure and services, such as AWS, Azure, or GCP, using best practices in cloud security and networking.</li>\n</ul>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.</li>\n</ul>\n<ul>\n<li>Hands-on experience with Python, Java, or Scala, and proficiency in SQL, and Terraform experience are desirable.</li>\n</ul>\n<ul>\n<li>2 years of professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures</li>\n</ul>\n<ul>\n<li>2 years of customer-facing experience in a pre-sales or post-sales role</li>\n</ul>\n<ul>\n<li>Can meet expectations for technical training and role-specific outcomes within 6 months of hire</li>\n</ul>\n<ul>\n<li>This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed.</li>\n</ul>\n<p>Pay Range Transparency:</p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>Zone 2 Pay Range $264,000-$363,000 USD</p>\n<p>Zone 3 Pay Range $264,000-$363,000 USD</p>\n<p>Zone 4 Pay Range $264,000-$363,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8f706224-663","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8477197002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$264,000-$363,000 USD","x-skills-required":["Cloud Platforms & Architecture","Security","Networking","Platform Administration","Infrastructure Automation and InfraOps","Big Data technologies","Cloud Native Architecture","Serverless Architecture","Gen AI & Model Security","Encryption","Vulnerability Management","Compliance","SCIM","OAuth","SAML","Federation","High availability and disaster recovery","Cluster management","Observability","Logging","Monitoring","Audit","Cost management","Terraform"],"x-skills-preferred":["Python","Java","Scala","SQL","Terraform experience"],"datePosted":"2026-04-18T15:56:46.870Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Central - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Cloud Platforms & Architecture, Security, Networking, Platform Administration, Infrastructure Automation and InfraOps, Big Data technologies, Cloud Native Architecture, Serverless Architecture, Gen AI & Model Security, Encryption, Vulnerability Management, Compliance, SCIM, OAuth, SAML, Federation, High availability and disaster recovery, Cluster management, Observability, Logging, Monitoring, Audit, Cost management, Terraform, Python, Java, Scala, SQL, Terraform experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":264000,"maxValue":363000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8f6ef3b1-c9b"},"title":"Technical Program Manager, Compute","description":"<p>As a Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic&#39;s compute infrastructure running efficiently at scale.</p>\n<p>Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You&#39;ll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams.</p>\n<p>You&#39;ll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams</li>\n<li>Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health</li>\n<li>Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms</li>\n<li>Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used</li>\n<li>Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication</li>\n<li>Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership</li>\n<li>Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments</li>\n<li>Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements</li>\n<li>Have experience working with research or ML teams and translating their needs into operational plans and technical requirements</li>\n<li>Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility</li>\n<li>Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up</li>\n<li>Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership</li>\n<li>Have a track record of building trust with engineering teams and driving changes through influence rather than authority</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments</li>\n<li>Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers)</li>\n<li>Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads</li>\n<li>Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution</li>\n<li>Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management</li>\n<li>Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8f6ef3b1-c9b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5138044008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$290,000-$365,000 USD","x-skills-required":["Technical Program Management","Cloud Infrastructure","Cluster Management","Job Scheduling","Resource Orchestration","Compute Capacity Management","GPU or Accelerator Infrastructure","Observability for Infrastructure Systems","Capacity Planning"],"x-skills-preferred":["Kubernetes","Slurm","Borg","YARN","Custom Schedulers","Demand Forecasting","Cost Modeling","Hardware Lifecycle Management"],"datePosted":"2026-04-18T15:53:42.458Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical Program Management, Cloud Infrastructure, Cluster Management, Job Scheduling, Resource Orchestration, Compute Capacity Management, GPU or Accelerator Infrastructure, Observability for Infrastructure Systems, Capacity Planning, Kubernetes, Slurm, Borg, YARN, Custom Schedulers, Demand Forecasting, Cost Modeling, Hardware Lifecycle Management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":365000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f5e7e195-679"},"title":"Datacenter Hardware Operations Technician, AI Compute Infrastructure - Stargate","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$86.4K – $228K</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>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)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders such as Oracle today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced hardware professionals who can help ensure our high-density compute environment operates at peak performance.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a senior datacenter hardware operations technician to coordinate physical hardware activities at a large partner-operated campus. In this role you will work side-by-side with Oracle and their delivery teams, helping align OpenAI’s compute requirements with day-to-day hardware work on the ground. Rather than directing partner personnel, you will focus on collaboration, technical alignment, and shared problem solving, ensuring that maintenance, repairs, and lifecycle activities support the performance and reliability goals of both organizations. As the campus matures, you will help capture lessons learned and develop standards and playbooks to guide hardware operations at future OpenAI infrastructure projects.</p>\n<p>_Candidates must be able to sit onsite in Abilene, Texas 5 days per week_</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Serve as OpenAI’s primary on-site hardware contact, collaborating with Oracle teams and vendors to plan and coordinate maintenance, repairs, and lifecycle activities.</li>\n</ul>\n<ul>\n<li>Share technical requirements and verify that work performed supports OpenAI’s compute needs and agreed quality targets.</li>\n</ul>\n<ul>\n<li>Coordinate schedules, spare-parts planning, and issue escalation with partner teams to minimize downtime and keep operations running smoothly.</li>\n</ul>\n<ul>\n<li>Work with OpenAI fleet-health engineers to translate software-detected issues into on-site hardware actions in partnership with Oracle.</li>\n</ul>\n<ul>\n<li>Track hardware trends and provide joint recommendations with partner teams for design or operational improvements.</li>\n</ul>\n<ul>\n<li>Prepare documentation and runbooks that capture joint best practices and can be applied at additional campuses.</li>\n</ul>\n<ul>\n<li>Offer technical guidance and context to partner personnel while respecting their operational ownership.</li>\n</ul>\n<ul>\n<li>Collaborate with supply-chain teams to plan spares and manage hardware lifecycle activities.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 7+ years of experience in datacenter hardware operations, hardware engineering, or large-scale server maintenance, with at least 2 years in a senior or lead technician capacity.</li>\n</ul>\n<ul>\n<li>Bring deep knowledge of high-density server hardware, including x86 platforms, GPUs, storage devices, and power/cooling systems.</li>\n</ul>\n<ul>\n<li>Excel at diagnosing hardware issues, coordinating complex repairs, and maintaining strong working relationships across organizations.</li>\n</ul>\n<ul>\n<li>Are comfortable setting technical expectations and validating outcomes through collaboration, not direct management.</li>\n</ul>\n<ul>\n<li>Adapt quickly to changing operational conditions and enjoy solving problems at both the strategic and on-site levels.</li>\n</ul>\n<ul>\n<li>Communicate clearly and build trust across partner teams, vendors, and internal engineering stakeholders.</li>\n</ul>\n<ul>\n<li>Are willing to be based full-time at a partner-operated campus</li>\n</ul>\n<p><strong>Preferred Skills</strong></p>\n<ul>\n<li>Familiarity with large-scale cluster management or monitoring tools (IPMI, BMC, Prometheus, Nagios) to interpret alerts and coordinate partner responses.</li>\n</ul>\n<ul>\n<li>Experience with GPU-accelerated compute clusters or other high-performance computing hardware.</li>\n</ul>\n<ul>\n<li>Knowledge of Linux/Unix system administration and command-line diagnostic tools for hardware validation.</li>\n</ul>\n<ul>\n<li>Industry certifications such as CompTIA Server+, OEM hardware certifications, or equivalent.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f5e7e195-679","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/b9a4a809-a965-4dbe-aeef-6ce1593903dd","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$86.4K – $228K","x-skills-required":["datacenter hardware operations","hardware engineering","large-scale server maintenance","high-density server hardware","x86 platforms","GPUs","storage devices","power/cooling systems"],"x-skills-preferred":["large-scale cluster management","monitoring tools","IPMI","BMC","Prometheus","Nagios","GPU-accelerated compute clusters","Linux/Unix system administration","command-line diagnostic tools","industry certifications"],"datePosted":"2026-03-06T18:43:34.654Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"datacenter hardware operations, hardware engineering, large-scale server maintenance, high-density server hardware, x86 platforms, GPUs, storage devices, power/cooling systems, large-scale cluster management, monitoring tools, IPMI, BMC, Prometheus, Nagios, GPU-accelerated compute clusters, Linux/Unix system administration, command-line diagnostic tools, industry certifications","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":86400,"maxValue":228000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f23f6e54-b82"},"title":"Engineering Manager, Identity Infrastructure","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Engineering Manager, Identity Infrastructure</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Applied AI</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$293K – $385K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>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)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong><strong>About the Team</strong></strong></p>\n<p>Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organisational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI—held to an exceptionally high bar for availability, security, and latency—and are depended on by many internal teams.</p>\n<p><strong><strong>About the Role</strong></strong></p>\n<p>As an Engineering Manager, Identity Infrastructure, you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You’ll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products.</p>\n<p>We’re looking for people who combine strong infrastructure depth with people leadership—someone who can guide technical strategy, run reliable operations, and build a high-performing team delivering mission-critical systems.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong><strong>What You’ll Do:</strong></strong></p>\n<ul>\n<li>Build, lead, and develop a high-performing engineering team. Coach and mentor engineers and senior technical leads to increase their impact and support their growth.</li>\n</ul>\n<ul>\n<li>Define and own the technical strategy, roadmap, and execution for OpenAI’s core identity systems.</li>\n</ul>\n<ul>\n<li>Guide the architecture of distributed systems operating at massive scale, with high requirements for reliability, privacy, and performance.</li>\n</ul>\n<ul>\n<li>Partner closely with Product and Infrastructure teams to support new product needs and uphold high system standards.</li>\n</ul>\n<ul>\n<li>Ensure the team operates effectively, maintains strong engineering rigor, and consistently delivers against ambitious goals.</li>\n</ul>\n<ul>\n<li>Establish processes and a culture that enable fast learning, high trust, and responsible innovation.</li>\n</ul>\n<ul>\n<li>Lead the team responsible for the authentication stack and token exchange infrastructure, ensuring high availability, strong security posture, and low-latency performance.</li>\n</ul>\n<ul>\n<li>Own and improve request validation at the edge for logged-in users, delivering extremely high reliability and fast validation under high throughput.</li>\n</ul>\n<ul>\n<li>Oversee systems that enable secure access to user data, improving scalability, reliability, and access patterns for internal consumers across the company.</li>\n</ul>\n<p><strong><strong>You might thrive in this role if you:</strong></strong></p>\n<ul>\n<li>Have 3+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environments.</li>\n</ul>\n<ul>\n<li>Have 10+ years of experience building, scaling, and operating distributed systems at large scale.</li>\n</ul>\n<ul>\n<li>Care deeply about people leadership, coaching, and helping engineers achieve peak performance.</li>\n</ul>\n<ul>\n<li>Communicate clearly, think holistically, and make decisions grounded in both user needs and long-term sustainability.</li>\n</ul>\n<ul>\n<li>Have experience managing an infrastructure team and are effective at hiring, coaching, and developing engineers while maintaining strong operational excellence.</li>\n</ul>\n<ul>\n<li>Have deep experience building and operating high-scale backend systems, with a track record of improving reliability, latency, and security in production.</li>\n</ul>\n<ul>\n<li>Bring broad infrastructure expertise across the stack—from hardware and cluster management to services and storage layers.</li>\n</ul>\n<p><strong><strong>About OpenAI</strong></strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of artificial general intelligence and work to align its development with human values. Our mission is to create a world where AI is a powerful tool for humanity, and we believe that this requires a multidisciplinary approach to research and development. We are committed to transparency and open communication, and we believe that sharing our knowledge and insights with the world is essential to advancing the field of AI. We are a team of researchers, engineers, and designers who are passionate about creating a future where AI is a force for good. We are based in San Francisco, California, and we are proud to be a part of the vibrant tech community in the Bay Area. We are committed to diversity, equity, and inclusion, and we believe that a diverse and inclusive team is essential to creating a better future for all. We are always looking for talented individuals who share our vision and values, and we encourage you to join our team and help us shape the future of AI.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f23f6e54-b82","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/3ee22a2b-17f6-4848-93e4-b43e61169002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$293K – $385K","x-skills-required":["Engineering Management","Identity Infrastructure","Distributed Systems","Reliability","Privacy","Performance","Technical Strategy","Roadmap","Execution","Architecture","Cluster Management","Services","Storage Layers","High-Performance Engineering Teams","People Leadership","Coaching","Hiring","Developing Engineers","Operational Excellence","Backend Systems","Reliability","Latency","Security"],"x-skills-preferred":["Cloud Computing","Containerization","DevOps","Agile Methodologies","Scrum","Kanban","Continuous Integration","Continuous Deployment","Continuous Testing","Infrastructure as Code","Automation","Scripting","Programming Languages","Data Structures","Algorithms","Computer Networks","Database Systems","Data Warehousing","Business Intelligence","Data Science","Machine Learning","Artificial Intelligence"],"datePosted":"2026-03-06T18:26:24.695Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Engineering Management, Identity Infrastructure, Distributed Systems, Reliability, Privacy, Performance, Technical Strategy, Roadmap, Execution, Architecture, Cluster Management, Services, Storage Layers, High-Performance Engineering Teams, People Leadership, Coaching, Hiring, Developing Engineers, Operational Excellence, Backend Systems, Reliability, Latency, Security, Cloud Computing, Containerization, DevOps, Agile Methodologies, Scrum, Kanban, Continuous Integration, Continuous Deployment, Continuous Testing, Infrastructure as Code, Automation, Scripting, Programming Languages, Data Structures, Algorithms, Computer Networks, Database Systems, Data Warehousing, Business Intelligence, Data Science, Machine Learning, Artificial Intelligence","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":293000,"maxValue":385000,"unitText":"YEAR"}}}]}