Fleet Operations Specialist Jobs

Location : Come and join us in London! Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. One of our core goals for 2026 is the complete digitalization of the European taxi market. We work with taxi companies to provide them with our advanced dispatch and fleet management software completely free of charge. This enables them to significantly reduce operating costs, successfully differentiate themselves from major ride-hailing providers, and manage a profitable, sustainable business. To support this, we are looking for a Sales Manager who will become the face of this initiative. We look forward to your application and can't wait to have you on board for this journey! YOUR DAILY ADVENTURES WILL INCLUDE: Prospect, engage, travel and pitch our Dispatch tool to SME taxi companies in the UK. You are the driving force behind converting traditional vehicle fleets into modern, connected Freenow by Lyft partners. Guide entrepreneurs, fleet owners, and senior dispatchers through the fear of operational change. Act as the voice of our partners. You will gather on-the-ground feedback about our software and collaborate directly with our Product and Strategy teams to help "co-build" the ultimate solution. TO BE SUCCESSFUL IN THIS ROLE: 3-5 years of professional experience in areas such as B2B business development, sales, or account management. Experience in mobility, logistics, or selling SaaS solutions to SMEs is especially valued. Proven track record of managing a B2B pipeline and handling objections. You understand that even when a product is free, you still have to expertly "sell" the time, effort, and operational shift required to adopt it. Strong communication skills with the ability to build trust and long-term relationships. The ability to deeply understand a partner's business operations at a process level. You are skilled at guiding new partners step by step through the change process and ensuring they smoothly a

Location : Come and join us in Barcelona! Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. One of our core goals for 2026 is the complete digitalization of the European taxi market. We work with taxi companies to provide them with our advanced dispatch and fleet management software completely free of charge. This enables them to significantly reduce operating costs, successfully differentiate themselves from major ride-hailing providers, and manage a profitable, sustainable business. To support this, we are looking for a Sales Manager who will become the face of this initiative. We look forward to your application and can't wait to have you on board for this journey! As we are an international company, we ask that you submit your application documents in English. YOUR DAILY ADVENTURES WILL INCLUDE: Prospect, engage, travel and pitch our Dispatch tool to SME taxi companies in Spain. You are the driving force behind converting traditional vehicle fleets into modern, connected Freenow by Lyft partners. Guide entrepreneurs, fleet owners, and senior dispatchers through the fear of operational change. Act as the voice of our partners. You will gather on-the-ground feedback about our software and collaborate directly with our Product and Strategy teams to help "co-build" the ultimate solution. TO BE SUCCESSFUL IN THIS ROLE: 3-5 years of professional experience in areas such as B2B business development, sales, or account management. Experience in mobility, logistics, or selling SaaS solutions to SMEs is especially valued. Proven track record of managing a B2B pipeline and handling objections. You understand that even when a product is free, you still have to expertly "sell" the time, effort, and operational shift required to adopt it. Strong communication skills with the ability to build trust and long-term relationships. The ability to deeply understand a partner's business operations at a process level. You are s

Location : Come and join us in Barcelona! Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. One of our core goals for 2026 is the complete digitalization of the European taxi market. We work with taxi companies to provide them with our advanced dispatch and fleet management software completely free of charge. This enables them to significantly reduce operating costs, successfully differentiate themselves from major ride-hailing providers, and manage a profitable, sustainable business. To support this, we are looking for a Sales Manager who will become the face of this initiative. We look forward to your application and can't wait to have you on board for this journey! As we are an international company, we ask that you submit your application documents in English. YOUR DAILY ADVENTURES WILL INCLUDE: Prospect, engage, travel and pitch our Dispatch tool to SME taxi companies in Spain. You are the driving force behind converting traditional vehicle fleets into modern, connected Freenow by Lyft partners. Guide entrepreneurs, fleet owners, and senior dispatchers through the fear of operational change. Act as the voice of our partners. You will gather on-the-ground feedback about our software and collaborate directly with our Product and Strategy teams to help "co-build" the ultimate solution. TO BE SUCCESSFUL IN THIS ROLE: 3-5 years of professional experience in areas such as B2B business development, sales, or account management. Experience in mobility, logistics, or selling SaaS solutions to SMEs is especially valued. Proven track record of managing a B2B pipeline and handling objections. You understand that even when a product is free, you still have to expertly "sell" the time, effort, and operational shift required to adopt it. Strong communication skills with the ability to build trust and long-term relationships. The ability to deeply understand a partner's business operations at a process level. You are s

About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role OpenAI Robotics depends on high-quality real-world robot data from a large, live operational environment. That environment has many deployed workcells, changing configurations, and little tolerance for downtime. We are seeking a Field Engineer to help keep that environment running well. You will own the day-to-day technical health of robotic workcells used in ongoing data acquisition operations, diagnose and resolve failures across hardware and software, and build the practical tools, documentation, and support workflows that make operators and technicians more effective. The work is close to the floor, close to the failure modes, and close to the research impact. This role sits at the intersection of software, robotics hardware, and live operations. The best people in it are practical, technically sharp, calm under pressure, and motivated by making real systems work reliably at scale. This role will be based in San Francisco, CA 5 days per week and offer relocation assistance to new employees. In this role, you will: Serve as an engineering owner for keeping a fleet of robotic workcells online in daily operation. Diagnose, fix, mitigate, or escalate issues spanning mechanics, electronics, controls, software interfaces, logs, and configuration. Partner closely with technicians, operators, and engineering teams to improve scalable fleet support processes. Build or spec lightweight hardware and software tools that improve monitoring, diagnostics, recovery, and handoffs. Create documentation, SOPs, and diagnostic playbooks that turn en

Senior Product Manager, Robotics & Autonomy What we're doing isn't easy, but nothing worth doing ever is. At Diligent Robotics, we envision a future powered by robots that work seamlessly with human teams. We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments. Our robots operate every day in hospitals, helping healthcare staff spend less time on routine work and more time caring for patients. Operating a real-world fleet gives us something few robotics companies have: continuous customer feedback and operational data that directly shapes the next generation of Physical AI. We're looking for a Senior Product Manager, Robotics & Autonomy to define and execute the product strategy for some of the most critical capabilities in our robotics platform. You'll work at the intersection of robotics, autonomy, AI, and software engineering to translate business priorities, customer needs, and technical opportunities into a clear product roadmap that drives measurable outcomes. This role is ideal for someone who understands complex autonomous systems and enjoys working alongside world-class engineers to bring ambitious technology from concept into production. Responsibilities Own the product strategy and roadmap for key Robotics and Autonomy initiatives, balancing customer impact, technical feasibility, and long-term platform investments. Define product requirements for autonomy, navigation, perception, fleet intelligence, simulation, and robotics platform capabilities. Partner closely with Engineering, AI, Robotics, Customer Success, Operations, and Leadership to align priorities across the organization. Translate customer feedback, fleet telemetry, and operational insights into product decisions that improve robot performance, reliability, and user experience. Prioritize investments using data, customer value, technical complexity, and business impact. Drive cross-functional execution from concep

About the Role At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk. Responsibilities Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention. Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation. Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers. Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators. Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads. Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations. Continuously improve deployment velocity, reliability, and operational efficiency through automation. Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure. Requirements 3+ years building distributed systems, infrastructure platforms, or large-scale backend software. Strong software engineering skills in Python, Go, or Rust . Experience building platforms, automation systems, or developer infrastructure. Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies. Strong systems thinking with the ability to understand problems across hardw

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. Lyft Urban Solutions (LUS) is North America’s leader in micromobility. We own, operate, or provide hardware and software solutions for bikeshare and scootershare programs in 57+ global markets including Montreal, London, New York City, Mexico City and others. Our rapidly growing active fleet includes state-of-the-art charging stations, electric bikes, and scooters, and services hundreds of millions of rides per year. The Hardware Product and Industrial Design Team at LUS is responsible for conceiving, guiding development of, launching, and sustaining world-class products used by riders, cities, and operators over the world. We represent LUS in micromobility forums, engage directly with customers, and guide research and development. We aim to ensure all products we develop are delightful for riders, globally competitive, elegant, and future-facing. We are looking for an exceptional Senior Product Manager, Hardware to manage our existing stations portfolio as well as develop our next generation of stations products. Our stations are now as iconic in cityscapes as London Routemaster buses of old. You will have end-to-end ownership of new station product development, leading a cross-functional team through all phases of hardware development to launch, and will be responsible for a fleet of over 300,000 charging and non-charging station assets already on the ground. You will engage directly with LUS leadership, engineering, data science, operations, and design to achieve the company’s vision for reinventing transportation. You will work closely with our Vehicles Product Manager, Industrial Design team, and counterparts in software product management to ensure ou

At Zoox, we have set the goal to provide our customers with the highest level of safety while using our fully autonomous vehicles. You will work with a team of world-class engineers with diverse backgrounds such as robotics, controls, simulation, and vehicle engineering to enable our vehicle to deliver outstanding energy efficiency and range in service. Operating a fleet of robotaxis at scale requires balancing performance, cost, and energy usage at the time - in this position, you will spearhead energy management and energy-efficient architectures across the vehicle platform and robotaxi fleet. You’ll collaborate on electrical powertrains, high-voltage batteries, thermal architectures, and low-voltage systems, as well as the sophisticated compute and sensing suites required for autonomous operation. In this role, you will: Develop holistic engineering and product strategies for vehicle energy management. Develop energy budgets, energy saving features, and software controls strategies across sub-systems. Work closely with simulation engineers to develop digital vehicle models for energy consumption prediction and vehicle design optimization across drive cycles. Integrate those models into larger end to end simulations to analyze fleet wide energy performance for service operations. Advocate for energy efficiency as vehicle development progresses - you’ll need passion and backbone to deliver results and make data-driven tradeoffs on behalf of energy. Qualifications Bachelor’s degree in engineering, physics, or a related technical field 7+ years of direct experience in system design and energy management in vehicular or robotics domains Familiarity with design optimization processes, including multi-disciplinary analysis and optimization Experience working with business and product stakeholders on translating business objective into engineering requirements Bonus Qualificat

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Network Security Architecture & Engineering Design and implement secure network architectures across cloud, on-premise, and edge/IoT environments. Configure and maintain firewalls, VPNs, network segmentation, NAC, and secure remote access solutions. Evaluate and deploy new security technologies and controls. Security Operations & Incident Response Monitor network activity and security alerts. Investigate suspicious activity, security events, and potential breaches. Lead containment, remediation, and post-incident reviews. Vulnerability Management & Risk Reduction Oversee vulnerability assessments, penetration testing, and security reviews. Prioritize and remediate identified risks and security gaps. Maintain security hardening standards and best practices. Cloud & Infrastructure Security Secure cloud infrastructure, network connectivity, and identity/access controls. Partner with Infrastructure and Engineering teams to embed security into deployments and operations. Support secure scaling of systems, services, and environments. IoT/Edge Networking/Security Implement zero-touch provisioning and secure identity management for edge hardware to ensure fleet integrity. Architect secure, low-latency remote access

About Supabase Supabase is an open source Firebase alternative. We give developers a Postgres database, authentication, instant APIs, edge functions, and real-time subscriptions — all in one platform. We are building the infrastructure layer for the next generation of applications. Corporate IT at Supabase reports into the Security organization. Identity and endpoint hygiene are treated as security controls, not administrative overhead. You will work with a small, senior team with direct access to engineering leadership and a mandate to automate everything. About the Role You will work directly with our IDM/MDM Lead to own the day-to-day operations of our identity and endpoint stack — Okta, Slack, Iru (MDM), and the integrations that tie them together. This role is equal parts identity management and endpoint operations, with a strong expectation that you automate what you repeat and document what you automate. This role provides follow-the-sun IT and identity coverage alongside our IDM/MDM Lead on the West Coast. Fully remote, with a strong preference for candidates based in EST or APAC. What You’ll Own Identity & Access Management Administer Okta day-to-day: user provisioning, group management, SSO application configuration, and MFA policy enforcement. Own joiner-mover-leaver (JML) workflows — ensure access is granted on day one, adjusted on role change, and fully revoked on departure with no manual gaps. Maintain and improve Okta lifecycle automation, reducing manual provisioning toil and closing the window between HR events and access changes. Audit access regularly: identify stale accounts, over-provisioned roles, and orphaned app assignments before they become incidents. Support FIDO2/WebAuthn and YubiKey deployment for privileged access across the organization. Endpoint Management & MDM Administer Iru (formerly Kandji) MDM for macOS fleet: device enrollment, configuration profiles, compliance baselines, and policy enforcement. Ensure all managed endpo

About the Role In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as Vast, Weka, Ceph, and Lustre, and solve the complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you’ll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads. Responsibilities Architect and implement the technical strategy and storage roadmap for Together AI, driving high-performance architectural decisions as we scale our GPU fleet. Engineer and scale multi-petabyte AI/ML storage systems by integrating Vast, Weka, and Ceph while executing deep cost optimization through automated tiering and lifecycle policies. Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and cluster-wide throughput at GPU scale for training and inference workloads. Tune storage isolation at the L2/L3 network layers to ensure secure, production-grade multi-tenancy for storage clients. Code Kubernetes storage operators and controllers to enable automated provisioning, self-service abstractions, and quota enforcement. Engineer end-to-end data paths to achieve 10+ GB/s per GPU node; architect multi-tier caching for model weights and datasets; tune parallel filesystems using advanced profiling; and scale storage infrastructure across thousands of nodes. Optimize end-to-end data paths through advanced

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As an Associate Systems Engineer, you play a key role in supporting the SE organization through activities that drive customer adoption as well as lifecycle management of a customer’s fleet of products and solutions. WHAT YOU'LL DO Assist internal teams with configuration validation in support of sales opportunities Collect and acquire data for use in the creation of sales plays and lifecycle management programs and processes Work with established programs and sizing tools to provide customers with a product performance solution that meets and exceeds their expectations Be involved in the Account Planning process as part of a larger team Assist with solution designs and take point on simple designs Assist prospects and customers with basic demonstrations, system configurations, feature adoption, and answers to technical questions Work with established programs and sizing tools to support customer pursuits Work cross functionally with internal departments such as Customer Support, Professional Services, Renewal, Sales Operations, and Order Management Supports both pre-sales and post-sales activities, optimizing customer engagement and satisfaction Drive technical account management to ensure seamless implementation and ongoing support of Everpure solutions, fostering strong customer relationships We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compl

As Strategic Sourcing Manager of Direct Procurement, you will be responsible for Zoox’s strategic sourcing and industry partnerships, which includes working cross-functionally to understand needs for third-party engagement across the business, finding and evaluating potential partners and suppliers, drafting and issuing RFQs, leading the negotiation of all key terms and conditions as well as pricing, managing commercial and supply chain issues, identifying and executing on cost reduction opportunities, and overall management of third party relationships. You can operate independently and possess expertise in electronics, powertrain, chassis, body, safety systems, EV charging, fleet maintenance or capital equipment. In this role, you will: Lead procurement and partnership initiatives for vehicle direct materials (interiors, structural components, advanced hardware) and/or operations infrastructure (EV charging, vehicle maintenance, capital equipment) Proactively engage with Zoox stakeholders (incl. engineering, operations, manufacturing, strategy, finance, and design) to derive and execute the medium-term (3-5 years) business and technology roadmap to support Zoox’s vehicle development program and autonomous ride-hailing service Develop the supply chain and partnership footprint with a long-term, strategic view Lead the day-to-day process of ensuring successful partnerships (milestone adherence, change order management, quality assurance, cost control, etc.) and build supplier performance assessments to support future sourcing decisions Design, conduct, and synthesize supplier, industry, and market research Drive cost transparency and build total cost of ownership models to support sourcing decisions Ensure optimal contract coverage for the commodity/service in partnership with engineering and legal support Build and maintain strategic relationships with key suppliers as the lead point

About the Role At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk. Responsibilities Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention. Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation. Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers. Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators. Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads. Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations. Continuously improve deployment velocity, reliability, and operational efficiency through automation. Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure. Requirements 3+ years building distributed systems, infrastructure platforms, or large-scale backend software. Strong software engineering skills in Python, Go, or Rust . Experience building platforms, automation systems, or developer infrastructure. Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies. Strong systems thinking with the ability to understand problems across hardw

About the Team The Core Network Engineering team owns the end-to-end networking stack that connects OpenAI’s compute infrastructure — spanning global WAN/edge connectivity, data-center networking, and high-performance host/xPU networking used for large-scale training and inference workloads. This team is responsible for ensuring networking is never the bottleneck to model training efficiency, cluster reliability, or fleet expansion. They design and operate the systems that provide predictable, high-throughput, low-latency connectivity across some of the world’s most advanced AI infrastructure. About the Role We’re looking for engineers to help build and operate the networking foundation behind OpenAI’s frontier AI systems. Depending on your background and area of focus, you may work across host networking, datacenter fabrics, or global WAN infrastructure. The problems span low-level systems software, distributed infrastructure, protocol readiness, observability, performance engineering, automation, and large-scale network operations. You’ll work on systems where microseconds of latency, tail performance, and network reliability directly impact model training efficiency and production serving performance. This role is ideal for engineers who enjoy operating close to the hardware/software boundary and solving performance-critical infrastructure problems at massive scale. In this role, you will: Design, build, and operate networking systems that support large-scale AI training and inference infrastructure Improve performance, reliability, and scalability across host networking, datacenter fabrics, and WAN systems Develop automation for provisioning, configuration management, validation, upgrades, and lifecycle management of networking infrastructure Build tooling and observability systems for network health, performance analysis, debugging, and automated remediation Optimize network performance across technologies such as RDMA, RoCE, InfiniBand, Ethernet, and high-perf