Lead Fleet Operations Associate Manager in United States

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Technical Lead to lead deployment and operations for OpenAI’s Silicon & Systems team. This person will become the Directly-Responsible Individual responsible for bringing OpenAI’s custom silicon and associated systems into data center environments, ensuring successful deployment, bring-up, validation, operational readiness, and ongoing reliability at scale. This role sits at the intersection of silicon, systems, infrastructure, data center operations, and software. You will lead a team focused on taking new hardware platforms from lab validation into production data center deployment. You will be responsible for building the operational processes, technical workflows, tooling, and cross-functional alignment required to deploy and operate custom AI hardware reliably in OpenAI’s supercomputing infrastructure. The ideal candidate is both a strong leader and a deeply technical operator. You should be comfortable staying close to the technical details of hardware bring-up, fleet deployment, debugging, system validation, data center integration, and production operations. This role requires strong execution, excellent cross-functional judgment, and the ability to drive clarity in ambiguous, fast-moving environments. In this role, you will: Lead a team responsible for deployment and operations of OpenAI’s custom silicon and systems in data center environments Own the path from hardware bring-up and validation through production deployment, operati

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. 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. 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. 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. In 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. 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,

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Software Engineer leading Fleet Management, you will be the overall technical lead across three pods and the person who sets the technical direction for the fleet management layer of Roblox. This is a hands-on, deeply technical leadership role that owns all of Roblox's compute capacity end to end: from low-level provisioning and the data plane, up through the control planes that operate it, and all the way to the UI and internal-facing products that let teams self-serve capacity. Your org centralizes security, maintenance operations, and the uptime of every Roblox Kubernetes cluster, and governs the internal customer contracts that drive automation across the fleet spanning Roblox data centers and cloud providers. You will guide architecture, raise the engineering bar, and make sure compute capacity supply and demand stay in balance as the fleet grows. You will: Serve as the overall technical lead for three Fleet Management pods, setting and aligning the technical direction across low-level provisioning, the data plane, and the control plane and product surfaces above them. Architect the declarative, Kubernetes-style control planes that operate Roblox's compute fleet across o

What we’re doing isn’t easy, but nothing worth doing ever is. Diligent builds helpful robots that work safely and autonomously in real world environments. We move quickly, solve messy problems, and care deeply about reliability at scale. As a Fleet Engineer, you'll own the reliability and continuous improvement of our deployed robotic fleet — leading hands-on investigations into how and why robots fail in the field, across the mobile base, charging/docking, motion and power, connectivity (modem), and sensor hardware. You'll combine remote data analysis with bench/lab failure analysis at our Austin HQ, turning field-technician reports and fleet data into clear problem statements, validated root causes, and corrective actions driven to closure with engineering, operations, manufacturing, and vendors. We are hiring a Lead Engineer, Issue Management & Triage to lead the systems, tooling, and team at the intersection of our Customers, Remote Operations Center (ROC), and Engineering. This is a highly technical, hands-on role focused on building the infrastructure that powers how we detect, triage, diagnose, and resolve issues across a deployed robotic fleet. You will work deeply with Engineering teams to design classification frameworks, build internal tools, and develop automation pipelines that improve reliability at scale. Location: Austin preferred, Remote possible (U.S.) Travel: if remote up to ~50% travel to Austin, TX (especially in the your first 90 days) What You’ll Do: Own Issue Management & Triage Systems Design and own end-to-end systems for issue intake, triage, and escalation. Define severity frameworks, SLAs, and ensure issues are consistently structured for engineering prioritization. Build Tools & Automation (Hands-On) Develop automation and pipelines to ingest, process, and classify operational data, reducing manual triage effort. Contribute directly to codebases (Python, backend services) and partner with Engineer

The Undersea Systems Division at Leidos currently has an opening for a Technical Program Lead to support a customer site in San Diego, California. This is an exciting opportunity to apply systems engineering, naval operations, test and evaluation, and technical project-management experience in support of large-scale fleet activities and critical maritime missions. The selected candidate will serve as the onsite Technical Program Led and senior technical representative, working closely with the Leidos Project Manager, customer leadership, engineers, fleet personnel, operational stakeholders, and government representatives. The position will support day-to-day onsite execution of program activities while also contributing directly to systems engineering, integration, test, and evaluation efforts. Primary Responsibilities: Serve as the onsite senior technical representative for Leidos at the customer site in San Diego. Work side by side with customer leadership and technical personnel to support day-to-day program execution and mission priorities. Support the Leidos Project Manager with program planning, execution, customer coordination, schedule management, risk management, and delivery of program commitments. Lead and coordinate engineering activities across multiple technical disciplines and stakeholder organizations. Translate customer operational needs into technically sound engineering approaches, priorities, requirements, and recommendations. Coordinate with engineers, subcontractors, fleet personnel, operators, government stakeholders, and program leadership to resolve technical and operational issues. Track technical scope, milestones, schedules, deliverables, action items, risks, issues, dependencies, and decisions. Maintain project-management artifacts, including project plans, schedules, milestone trackers, risk and issue registers, action-item logs, and

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. Our Industrial Compute organization develops and deploys large-scale AI campuses designed to support the next generation of frontier model training and inference workloads. The Hardware Operations team is responsible for ensuring the reliability, availability, and lifecycle health of OpenAI’s compute infrastructure. We partner closely with Data Center Operations, Fleet Health Engineering, Manufacturing, Network Infrastructure, Capacity Planning, and our infrastructure partners to maintain world-class operational performance across rapidly expanding AI environments. As we scale globally, we are building the operational frameworks, reliability standards, and sustaining engineering practices required to support thousands of GPUs and servers across multiple campuses. About the Role We are seeking a Datacenter Hardware Technician Lead to serve as the senior on-site technical authority for hardware reliability and fleet health at one of OpenAI’s flagship AI campuses. This role operates at the intersection of hardware operations, sustaining engineering, and fleet reliability. You will partner closely with Cloud Service Provider operations teams, OpenAI fleet-health engineers, hardware engineering teams, and OEM vendors to identify, diagnose, and resolve hardware issues affecting production systems. Beyond day-to-day operational support, you will drive root cause investigations, reliability improvement initiatives, lifecycle management programs, and operational readiness efforts. You will help establish hardware maintenance standards, operational procedures, and best practices that scale across future OpenAI infrastructure deployments. The ideal candidate combines deep hands-on datacenter hardware expertise with strong troubleshooting, failure analysis, and cross-functional leadership skills. Candidates must be able to sit onsite at our

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. The Regional People Partner, Employee Relations Lead serves as the centralized employee relations partner for our Airport Operations team, with direct, hands-on support for one region. In this role, you're the consistent thread ensuring employee relations issues are handled the same way, every time, no matter where they happen. You're the person leaders lean on to make good calls, and the person team members know is invested in their success. This role puts you in the middle of it all — maintaining oversight across the entire fleet while coaching station leaders, resolving employee relations issues with consistency and fairness across the field, and building an exceptional team member experience that helps CLEAR thrive. What you'll do: Be the go-to People Partner for Operations leaders in your region - the person they call when something's tricky, not just when something's already broken Coach and sharpen station leaders and managers - through training, real feedback, recognition that means something, and just showing up when it counts Own employee and labor relations across your stations: run investigations, dig into root causes, and land on outcomes that are fair and consistent, working closely with Legal along the way Turn employee data, survey results, and what you're hearing on the ground into recommendations leaders can actually act on Partner across People and Operations on the bigger initiatives: onboarding, process fixes, and making sure People practices run the same way at every station Lead timely, thorough, and object

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world’s largest investment funds and corporations depend on. For three years and counting, we have been recognized as one of Inc’s Best Workplaces . We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle , Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. About the Role: This is a hybrid role based in our New York City headquarters. Employees are expected to work from the NYC office three days per week. We expect East Coast working hours. As Our IT Delivery Engineer, You Will: Design, implement, and maintain the systems and platforms that support the company’s internal IT environment Administer and troubleshoot SaaS platforms and endpoint management systems including Kandji, Google Workspace, Okta, Slack, Zoom, and other core business tools Manage and improve device management and endpoint configuration across the global fleet using MDM platforms Partner with Security and Infrastructure teams to ensure systems meet company security and compliance standards Lead and contribute to IT infrastructure and service delivery improvement projects that increase system reliability and operational efficiency Evaluate and implement new technologies that enhance IT service delivery, system management, and automation Develop automation and tooling to streamline provisioning, configuration management, and operational workflows Ma

NVIDIA’s DGX Cloud organization is seeking a Senior Data Engineer to become part of its data team! We develop the reliable data foundation that supports fleet health, capacity, utilization, cost, reliability, and operational decision-making throughout DGX Cloud. Our platform supports engineering, operations, finance, and product teams managing and expanding large GPU fleets across cloud service providers and NVIDIA Cloud Partners. We are looking for a practical engineer and technical lead to take charge of a key part of the Navigator data platform. We develop the systems that transform distributed infrastructure telemetry and operational data into dependable, managed data products that support fleet health, capacity, utilization, cost, and operational decisions. We are seeking a hands-on, platform-minded engineer to build and evolve the systems that turn distributed infrastructure telemetry and operational data into reliable, governed data products. You will work across ingestion, transformation, data quality, platform architecture, security, observability, and self-service consumption to help make Navigator and the DGXC data platform a dependable source of truth. We do expect strong engineering fundamentals, experience operating production systems, and the ability to learn new platforms and domains quickly. What you'll be doing: Own systems end to end. For example, work from ambiguous customer and operational needs through architecture, implementation, deployment, observability, incident response, and ongoing support. Construct data pipelines and products. Such as designing and maintain batch and streaming ingestion, transformation, reconciliation, and serving paths for fleet, capacity, utilization, cost, scheduling, and operational telemetry. Build shared libraries, workflow and DAG or equivalent experience abstractions to evolve the data platform. Develop deployment tooling, data

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role OpenAI's Hardware organization builds supercompute platforms from silicon and boards to full rack-scale systems to power advanced AI workloads. This role owns end-to-end quality for high-speed interconnect hardware across the product lifecycle: early design influence, supplier/contract manufacturer readiness, qualification, ramp, and fleet quality in lab and data center environments. You will be the quality lead for advanced interconnect components and assemblies, including high-speed copper cables, cable cartridges, patch panels, backplane/cable-backplane solutions, high-speed connectors, and related electro-mechanical interfaces. You will partner closely with electrical, mechanical, SI/PI, systems, reliability, operations, and external vendors to prevent escapes and drive rapid, data-driven containment and corrective action. In this role you will: Own quality for advanced interconnect components and assemblies: high-speed connectors, high-speed copper cables, cable cartridges (e.g., cable cassette style assemblies), patch panels & optics, and backplane/cable-backplane interconnect solutions. Drive quality-by-design: participate in design reviews, DFM/DFx, tolerance stacks, material and plating selections, connector mating strategy, strain relief, and assembly methods to reduce variation and field failures. Define and track quality and reliability metrics (DPPM, yield, escapes, RMA/FRACAS trends, Cpk/Ppk where applicable) for interconnects across NPI and m

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT infrastructure team is responsible for ensuring that our products can serve rapidly growing demand with the performance, reliability, and quality our users expect. This work sits at the intersection of product demand, model deployment, inference, research, fleet, and capacity. The team translates changing product and model needs into clear capacity decisions and safe, scalable launches. About the Role We are seeking a Technical Program Manager to lead the operating system for Chat capacity and model deployment. You will connect demand forecasting and capacity allocation with model readiness, rollout planning, launch coordination, and post-deployment learning. You will also own mode deployment beyond capacity by working with cross functional teams across research, post-training, inference and product to own mainline model deployment. You will bring structure to constrained-capacity decisions, improve the tooling and mechanisms teams use to prioritize demand, and help new models reach users safely and efficiently. Success requires technical depth, sound judgment under ambiguity, and crisp execution across product, research, infrastructure, and operations teams. 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. In this role, you will: Own cross-functional programs for Chat capacity forecasting, allocation, headroom planning, and constrained-capacity operations. Build durable intake, prioritization, and decision mechanisms that connect product demand and model requirements to available serving capacity. Partner

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. We are seeking a visionary Principal Software Engineer to join our Compute organization and provide technical leadership for our Kubernetes infrastructure. You will drive the evolution of a platform that powers our global scale operations, transforming Kubernetes into a secure, reliable, and invisible foundation for our developers across our on-prem and public cloud fleet. Your mission is to balance cutting-edge innovation with rigorous platform stability, ensuring that internal and external customers have a seamless, high-performance experience at massive scale. You Will: Architectural Leadership: Serve as a technical lead for our Kubernetes ecosystem, setting the long-term architectural strategy for a platform that manages thousands of nodes and supports millions of concurrent requests. Customer Focus: Think deeply about how our internal customers consume and interact with compute, designing intuitive interfaces and tooling that simplify consumption of complex infrastructure services. Deep-Dive Engineering: Leverage deep expertise in Kubernetes internals, including custom controllers, operators, API server architecture, and etcd, to solve complex scaling bottlenecks and optimize our contr

What we’re doing isn’t easy, but nothing worth doing ever is. Diligent builds helpful robots that work safely and autonomously in real world environments. We move quickly, solve messy problems, and care deeply about reliability at scale. We’re hiring a Manufacturing Reliability Engineer to own production test for our robots at our contract manufacturer: you’ll design and run robust end-to-end test protocols, provision fleets of robots for production, and own the KPIs that define production quality. This role is based in Austin, TX. However, the position will require 50% travel to the Milwaukee, WI area and requires close collaboration across software, hardware, operations, and product engineering teams. Key Responsibilities End-to-end test process ownership. Create, validate, and maintain production test protocols and gating criteria from incoming inspection through final test and shipment. Provisioning of bots. Design and operate provisioning flows (imaging, firmware deployment, configuration, validation) and the tooling/fixtures needed to provision and handoff robots for production. KPIs and continuous improvement. Own key production metrics — First Pass Yield (FPY), cycle time, and test coverage — and drive continuous improvements to meet throughput and quality targets. Test automation & infrastructure. Architect, implement, and maintain automated test frameworks, harnesses, and test rigs used at the CM site. Ensure tests are stable, fast, and provide actionable failure data. Cross-functional escalation & RCA. Lead root-cause analysis for field and production failures; coordinate corrective actions with design, firmware, and CM engineering to close quality loops. On-site production leadership. Be the onsite technical authority at the contract manufacturer: train operators, debug failures on the line, and continuously refine processes with CM partners. What Success Looks Like Improved FPY and reduced rework rates across production builds. Reduced per

Datadog is looking for a Senior Product Manager to help lead the evolution of our fleet and lifecycle management capability, the product surface that gives customers visibility into, and control over, the observability software running across their infrastructure. This capability manages the deployment lifecycle for core observability agents and OpenTelemetry collectors running on customer hosts and containers. The Senior PM will expand the scope of fleet capability to additional Datadog software components, making it the single place customers go to see everything running in their environment, at any version, in any deployment model, and to manage it remotely and safely at scale, for both human operators and, increasingly, AI agents acting on their behalf. This is a high-visibility, cross-functional role. You'll partner with multiple engineering teams and be responsible for defining and delivering a coherent, unified fleet experience across UI, API, and MCP for customers. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Own and evolve the product vision and roadmap for a unified fleet and lifecycle management capability spanning multiple product lines and deployment models. Define what "managed" means for each new software component as it's brought into fleet, balancing consistency of experience with the realities of each component's operational model. Drive a phased expansion plan, sequencing new components into fleet based on customer value, technical complexity, and dependency readiness. Partner closely with engineering leads across several teams to align on shared architecture principles to support disparate software components. Represent the voice of the customer for a capability that must work equally well for human operators using a UI and for AI

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Senior Manager, Additive Fleet is responsible for the day-to-day performance of Hyliion's laser powder bed fusion (LPBF) printer fleet in Austin, which produces the complex, high-density metal heat exchanger hardware in the KARNO Core. This hardware can only be produced through metal additive manufacturing, so Hyliion's ability to build KARNO at scale depends directly on the health, uptime, and throughput of the fleet. The role leads the technicians and operators who run and maintain the machines, and owns preventive maintenance strategy, machine health monitoring, and decisions on hardware and software upgrades. The fleet runs the full range of Colibrium Additive LPBF platforms, including new machine technology being adopted in real time, and a primary focus is reducing machine-to-machine variation and building repeatable processes across machine models. This is a hands-on leadership role with regular time on the shop floor, and its scope will grow as Hyliion's print capacity scales. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Own fleet uptime and drive continuous improvement in machine-to-machine consistency across Hyliion's LPBF printer fleet. Build and maintain a preventive maintenance program across all machines to identify failure modes before they cause downtime. Lead, schedule, and develop the team of technicians and operators who run and maintain the fleet. Develop machine health monitoring us