Fleet Operations Associate Manager Jobs

Location : Come and join us in London! Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate professionals who strive for excellence and like to have fun. Are you ready for your next ride? The Manager, AV Fleet Services owns fleet management execution for our London AV operation. This role builds and manages the vendor ecosystem that supports the London fleet, defines the process standards that govern how our depot team and external partners work together, and owns the operational and financial performance of the fleet services function in London. YOUR DAILY ADVENTURES WILL INCLUDE: Design and build the London vendor architecture across fleet repair, service, maintenance, recovery, and towing. Decide what to insource vs. outsource, which partners to consolidate vs. diversify, and how the vendor mix evolves as the fleet scales. Own sourcing, evaluation, and onboarding. Draft and negotiate MSAs and SOWs with support from Legal and Procurement. Protect labor rates, parts pricing, and SLA provisions in new agreements. Own quarterly business reviews and ongoing performance management. Escalate SLA misses, manage vendor scorecards, and drive corrective action when performance dips. Design and document process flows for how the depot team interacts with external vendors on repairs, service, and maintenance. Own the playbooks for vehicle intake, damage assessment, repair routing, and return-to-service. Establish operational standards for depot and vendor workflows that align with partner requirements. Continuously improve based on operational data. Own damage assessment protocols and repair authorization workflows. Interface with vendors on complex or high-cost repairs before approval. Own the London fleet services budget. Track and report on labor, parts, tooling, and vendor spend against targets. Maintain comprehensive repai

About the Team The compute infrastructure team runs the GPU fleet and large-scale compute clusters that serve the models backing ChatGPT and the API, while also supporting training workloads for our next generation models. We operate a large, modern GPU fleet and provide a unified platform for other OpenAI teams to seamlessly run production Applied AI and Research training workloads. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role You’ll own the hands-on and automation work that brings WAN, fiber, carrier, and cloud-interconnect circuits into service. Partner with network engineers, fiber providers, cloud service providers, colocation teams, and data-center technicians to move each connection from ordered and patched to verified, stable, and ready for handoff. You’ll own Layer 1 troubleshooting and circuit bring-up while building workflows that translate reliable system or model output into precise, approved technician actions, capture field feedback, and drive each connection to a green-port handoff. The right person combines strong physical-networking judgment with practical automation skills: patch-panel and port mappings, optics and light levels, provider coordination, structured operational data, API or scripting workflows, and human-in-the-loop LLM tooling. Responsibilities Own Layer 1 activation and restoration for carrier circuits, dark fiber, wavelengths, Ethernet handoffs, and dedicated cloud interconnects across data centers and points of presence. Reconcile complete A-side/Z-side as-builts: circuit IDs, LOAs/CFAs, carrier demarcations, MMR/ODF/MDF and patch-panel positions, fiber pairs, cross-connects, optics, and device ports. Investigate no-light, low-light, wrong-port, link-flap, and error-rate issues across providers and CSPs; isolate continuity, dirty connectors, polarity, incorrect patching

About the Team LCSP is DoorDash’s entrepreneur-led fleet model: independent partners hire, train, and manage courier fleets that fulfill DoorDash orders. The program has proven product-market fit and is now scaling with a path toward a much larger network. This hire would stand up the Account Management function for LCSP and own the strategy for bringing partners in at scale. About the Role For this role the Manager would be the person who builds the Account Management function — not just covering a book of partners, but designing how DoorDash sources, onboards, and manages LCSP entrepreneurs as volume grows. In the near term that includes overseeing entrepreneur onboarding and recruitment of business partners. In the longer-term the goal is to build those out as their own functions, with AM remaining the owner of the ongoing partner relationship. The primary responsibilities include: Stand up Account Management for LCSP: cadences, partner health, performance incentives, and the playbook for a scaling Own the strategy for onboarding partners — how we find, launch, and ramp without the process breaking as we scale Oversee onboarding and sales in the near term, with the mandate to build that function out over time Be the primary DoorDash counterpart for LCSP entrepreneurs after launch Partner with operators on performance, business health and incentive outcomes Use DoorDash ecosystem knowledge to unblock partners, pulling in S&O, product, support, and legal as needed. You will report to the Senior Manager on our Local Commerce Service Provider (LCSP) team in our Dasher & Logistics organization. You’re excited about this opportunity because you will… Be responsible for your own book of work as well as designing how its managedBuild scalable solutions with our partners - we want to build with them and leverage their professional expertise and feedbackBe part of a flat structure and pave the way for LCSP expansion Learn how the

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a hands-on Operations Manager to own the operational and analytical supply side of our GPU fleet. Key focus areas: GPU fleet lifecycle, health, observability, utilization monitoring, and remediation across our neocloud and bare metal environments. We contract for a fixed amount of compute capacity. GPUs drift from healthy to unhealthy over time, and this role minimizes that downtime to keep the maximum number of GPUs healthy at any given moment. This is an operator role, not people management. You'll drive execution through clear processes, metrics, reporting, vendor coordination, and cross-functional alignment.. RESPONSIBILITIES Core Responsibilities: Drive suppliers to keep the maximum amount of the GPU fleet online and healthy. Maintain a live reconciliation of contracted vs. provisioned vs. healthy vs. utilized capacity, broken out by supplier and by cluster maximizing the number of healthy GPUs. Supplier-attributed fleet health accountability: own replacement SLAs, mean time to repair (MTTR), and RMA cycle times for every in-scope supplier. SLA monitoring, credit claims, and remedy enforcement: track SLA performance against contract terms, file and pursue credit claims, and drive remediation plans when suppliers fall short. Drive internal communications where suppliers need to perform maintenance to ensure all Baseten stakeholders are aware of activities that impact availability. Scope and

About DoorDash Labs DoorDash Labs is an independent robotics and automation team within DoorDash, focused on transforming last-mile logistics at scale. Our work reaches millions of people — and we're building the operational foundation to make that possible safely. The Role As the Head of Safety, Robot Operations , you will lead the safety vision for one of the world's most advanced autonomous delivery operations . You will continue to build on world-class safety culture across our fleet, depots, field operations—ensuring that safety is embedded into each process robot deployment, service management, under the roof and out on road operations. This is a strategic leadership role responsible for operating mechanisms, governance, audits, standards, and continuous improvement systems that enable safe, scalable, and compliant autonomous robot operations. You will partner closely with Operations, Engineering, Product, Hardware, Reliability, and Legal to proactively identify risks, prevent incidents, and continuously raise the safety bar as we scale. What You'll Do Culture: Safety is the foundational pillar of our operations. You will continue to sharpen the strong safety-first culture where every operator is empowered and accountable for safe operations. Strategic Roadmap: Define and execute the long-term safety strategy for Dot Operations. Develop safety management systems, policies, standards, SOPs, and governance mechanisms. Partner with Engineering and Product teams to identify operational safety risks and influence safer robot, hardware, and software designs. Engage with regulators, represent DoorDash externally. Day to Day Execution: Lead incident investigations, root cause analyses, corrective actions, and lessons-learned programs to eliminate repeat events. Develop leading safety metrics, dashboards, KPIs, and own executive reporting mechanisms. Lead emergency response, crisis management, and business continuity preparedness. Compliance: Strength

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 Hardware Operations Engineer to serve as the 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 datacenters 5 days pe

About the Team DoorDash Labs is a team within DoorDash building autonomous delivery robots and other autonomy solutions from the ground up for DoorDash's core delivery platform. If you have a passion for applying robotics solutions to a service loved by millions of people, then we want to talk to you! About the Role As an Operations Specialist in Autonomy Tech Support at DoorDash Labs, you will ensure the successful daily operations of the robot fleet and guide communication between Operations and Engineering teams to track and resolve field operations issues. You will report into the Operations Manager, Autonomy Tech Support and you will be 100% in-office and will require early and late shifts and shifts including weekends. You’re excited about this opportunity because you will… Be a primary contact for escalated software and hardware issues encountered during autonomy operations and testing Perform initial debugging and troubleshooting to capture important details to identify issue and implement resolution and mitigation steps Document new symptoms or failure modes that emerge in the field and work with engineering to determine appropriate mitigation steps Use trend analysis to report and triage anomalies, bugs and faults with necessary information to facilitate accurate Engineering investigation and resolution Create resolution steps documentation and maintain knowledge base We’re excited about you because… Comfortable with Linux command line, GitHub, Jira, and Service software Experience debugging and troubleshooting complex technical problems Prior experience with autonomous vehicles and/or robotics Willing to work flexible hours including weekends You are genuinely curious about how things work (or why they don’t) About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role You will be a valuable and developing member of the Service Operations team at DoorDash Labs. You will build on your existing technical skills to perform diagnostic, maintenance, and repair work to keep our robot fleet and electric bicycles operating at peak performance, supporting our fleet utilization goals. You will work closely with Senior Service Technicians and your manager to expand your troubleshooting skills, gain deeper familiarity with our systems, and progressively take on more complex repairs. This is an on-site role with expectations of 100% in-office presence in Mesa, AZ. This position is available on the AM shift (7:00 AM – 3:30 PM), five days per week, including at least one weekend day. You’re excited about this opportunity because you will… Perform standard and intermediate Service Technician tasks with growing independence, including service and upkeep of robotic systems and electric bicycles. Repair common faults in robotic platforms, modular components, electric bicycle drivetrains, and support vehicles using established troubleshooting procedures. Assist with complex or unusual faults alongside senior or lead technicians to learn advanced diagnostic methods for both robotic systems and e-bikes. Complete repairs on electrical systems, control units, battery packs, and hardware under guidance, with opportunities to develop toward independent advanced repairs. Use and interpret technical manuals, schematics, and diagnostic flowcharts to guide your work, applying these resources to both robot and electric bicycle service tasks. Document all diagnostic steps, repair actions, and component failures in the service management system to maintain accurate rec

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role You will be a valuable and developing member of the Service Operations team at DoorDash Labs. You will build on your existing technical skills to perform diagnostic, maintenance, and repair work to keep our robot fleet and electric bicycles operating at peak performance, supporting our fleet utilization goals. You will work closely with Senior Service Technicians and your manager to expand your troubleshooting skills, gain deeper familiarity with our systems, and progressively take on more complex repairs. This is an on-site role with expectations of 100% in-office presence in Fremont, CA, San Jose, CA, or Sunnyvale, CA. You’re excited about this opportunity because you will… Perform standard and intermediate Service Technician tasks with growing independence, including service and upkeep of robotic systems and electric bicycles. Repair common faults in robotic platforms, modular components, electric bicycle drivetrains, and support vehicles using established troubleshooting procedures. Assist with complex or unusual faults alongside senior or lead technicians to learn advanced diagnostic methods for both robotic systems and e-bikes. Complete repairs on electrical systems, control units, battery packs, and hardware under guidance, with opportunities to develop toward independent advanced repairs. Use and interpret technical manuals, schematics, and diagnostic flowcharts to guide your work, applying these resources to both robot and electric bicycle service tasks. Document all diagnostic steps, repair actions, and component failures in the service management system to maintain accurate records and support fleet readiness. Learn from and collaborate with experienced technicians,

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role You will be a valuable and developing member of the Service Operations team at DoorDash Labs. You will build on your existing technical skills to perform diagnostic, maintenance, and repair work to keep our robot fleet and electric bicycles operating at peak performance, supporting our fleet utilization goals. You will work closely with Senior Service Technicians and your manager to expand your troubleshooting skills, gain deeper familiarity with our systems, and progressively take on more complex repairs. This is an on-site role with expectations of 100% in-office presence in Mesa, AZ. This position is available on the PM shift (2:30 PM – 11:00 PM), five days per week, with at least one weekend day . You’re excited about this opportunity because you will… Perform standard and intermediate Service Technician tasks with growing independence, including service and upkeep of robotic systems and electric bicycles. Repair common faults in robotic platforms, modular components, electric bicycle drivetrains, and support vehicles using established troubleshooting procedures. Assist with complex or unusual faults alongside senior or lead technicians to learn advanced diagnostic methods for both robotic systems and e-bikes. Complete repairs on electrical systems, control units, battery packs, and hardware under guidance, with opportunities to develop toward independent advanced repairs. Use and interpret technical manuals, schematics, and diagnostic flowcharts to guide your work, applying these resources to both robot and electric bicycle service tasks. Document all diagnostic steps, repair actions, and component failures in the service management system to maintain accurate

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role You will be a valuable and developing member of the Service Operations team at DoorDash Labs. You will build on your existing technical skills to perform diagnostic, maintenance, and repair work to keep our robot fleet and electric bicycles operating at peak performance, supporting our fleet utilization goals. You will work closely with Senior Service Technicians and your manager to expand your troubleshooting skills, gain deeper familiarity with our systems, and progressively take on more complex repairs. This is an on-site role with expectations of 100% in-office presence in Fremont, CA, San Jose, CA, or Sunnyvale, CA. You’re excited about this opportunity because you will… Perform standard and intermediate Service Technician tasks with growing independence, including service and upkeep of robotic systems and electric bicycles. Repair common faults in robotic platforms, modular components, electric bicycle drivetrains, and support vehicles using established troubleshooting procedures. Assist with complex or unusual faults alongside senior or lead technicians to learn advanced diagnostic methods for both robotic systems and e-bikes. Complete repairs on electrical systems, control units, battery packs, and hardware under guidance, with opportunities to develop toward independent advanced repairs. Use and interpret technical manuals, schematics, and diagnostic flowcharts to guide your work, applying these resources to both robot and electric bicycle service tasks. Document all diagnostic steps, repair actions, and component failures in the service management system to maintain accurate records and support fleet readiness. Learn from and collaborate with experienced technicians,

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. The Systems Integration team is critical in this mission, turning complex hardware-software development into reliable product signals. Lab Operations is the physical backbone of that work: we build and maintain the device fleets, test environments, and hardware-in-the-loop labs that let teams test repeatably, understand failures, and ship with confidence. About the Role As a Lab Operations Manager, Systems Integration , you will own the day-to-day operation of a large-scale consumer device test lab. This is a hands-on operations leadership role: you’ll keep device fleets, test rigs, lab infrastructure, inventory, provisioning, maintenance, and logistics running smoothly so engineers and QA technicians have reliable environments for validation and release testing. We’re looking for someone who is highly organized, technically hands-on, comfortable with consumer electronics and lab equipment, and experienced operating complex physical test environments at scale. Because this is a new category of devices, you’ll have the opportunity to build the lab operating model early—shaping the systems, standards, and workflows that support products from prototype through launch. In this role, you will: Own device fleet and inventory: Manage configuration, deployment, tracking, lifecycle, and accurate asset records for a large fleet of consumer devices and test

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team Software Operations is the processing muscle behind Nuro Driver. We take the onroad miles our fleet collects and turn them into usable data, which becomes the foundation everything downstream depends on. Within Software Operations, Eval Operations holds the bar for safety and system testing, making sure our autonomous driving software is safe before it ever hits the road. It's careful, consequential work, and we take it seriously. About the Role We're looking for a Senior Program Manager, Eval Operations to help shape how software evaluation and validation come together across the company. You'll join a team running complex pipelines across simulation, root cause analysis, and systems evaluation, and you'll play a central role in keeping that work organized, prioritized, and moving forward. This is a great role for a process-oriented leader who loves bringing structure to ambiguous, fast-moving problems. You'll get up

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team Software Operations is the processing muscle behind Nuro Driver. We take the onroad miles our fleet collects and turn them into usable data, which becomes the foundation everything downstream depends on. Within Software Operations, Validation Operations holds the bar for safety and system testing, making sure our autonomous driving software is safe before it ever hits the road. It's careful, consequential work, and we take it seriously. About the Role Own the systems that make validation operations accurate, scalable, and ready for Nuro’s next stage of growth. As a Senior Program Manager on the Software Operations team, you’ll partner with Autonomy, Systems, and Data Platform Engineering to deliver the high-quality data that powers critical validation and expansion efforts. You’ll serve as the bridge between Engineering, Operations, and our offshore partner, upholding the quality bar, building scalable workflows, and

The Role As the Head of Central Robot Operations , you will lead the central operations organization that powers autonomous robot delivery at scale. Acting as the operational command center for the business, you will build the capabilities, mechanisms, and teams that enable safe, reliable, and efficient robot operations across every market. You will own the operating model spanning Remote Assistance, Mapping Operations, Market Expansion, Infrastructure, Strategy & Operations, Policy & Demos, and Program Management etc. This leader will establish the systems, governance, and operational excellence needed to scale autonomous operations from a handful of cities to a global network, partnering closely with Engineering, Product, Safety, Hardware, Autonomy, Legal, Public Policy, and Market Operations. What You Will Do Build and Scale Central Robot Operations Define the long-term operating model, organizational structure, and roadmap for Central Robot Operations. Build scalable mechanisms, operating standards, and governance that enable reliable robot operations across all markets. Lead a high-performing organization spanning operations, analytics, expansion, mapping, infrastructure, and program management. Own Remote Assistance Operations Lead the 24/7 Remote Assistance organization responsible for supporting autonomous robots requiring human intervention. Define response-time SLAs, workforce planning, staffing models, scheduling, and escalation protocols. Develop monitoring, telemetry, and operational dashboards that provide real-time visibility into fleet health. Partner with Engineering and Product to analyze intervention data, eliminate recurring failure modes, and continuously reduce human intervention rates. Lead Mapping Operations Own the operational lifecycle of geospatial assets including HD maps, geofences, routing data, and points of interest. Establish mapping quality standards, QA mechanisms, refresh cycles, and operational readiness processes for new