Fleet Associate Jobs

Zoox’s Talent Acquisition team is looking for an agile recruiter to own full-cycle, high-volume hiring primarily for our Fleet Operations organization, while flexing to support other critical teams like Manufacturing Operations. Partnering closely with operational leaders, you will manage a diverse portfolio of technical and non-technical roles essential to our on-the-ground operations. You will serve as a brand ambassador in a fast-paced environment, trusted to drive the entire recruiting process, from qualifying requirements to sourcing and closing world-class talent, while seamlessly managing robust pipelines to fuel Zoox’s continuing growth. In this role, you will: Manage the full-cycle recruiting process with an emphasis on strong hiring manager partnership, pipeline generation, and effective candidate advocacy. Source candidates, screen resumes, and evaluate candidates to determine fit across a wide variety of operational and high-volume profiles. Facilitate interview and hiring decision-making processes with interviewers, hiring managers, and company leadership. Manage the offer process, partnering closely with hiring managers, leadership, and HR teams to close candidates. Continuously and independently seek new ways to improve both the candidate experience and the overall recruiting process, particularly for high-volume pipelines. Qualifications: 5+ years of full-cycle recruiting experience (sourcing, screening, and closing) with at least 2+ years of experience focused on high-volume or operational hiring. Proven ability to recruit for a wide range of positions, seamlessly flexing between high-volume, non-technical, and technical roles (e.g., fleet operations, manufacturing, on-the-ground support). Experience partnering directly with Hiring Managers to guide them through the talent acquisition process and effectively evaluate candidates for behavioral fit and role competencie

About the Role As a UAS Operations Specialist -Maintenance , you’ll support commercial drone delivery under Part 107 & 135 through scheduled and unscheduled fleet maintenance, inspection, and troubleshooting, while working alongside Flight Operations. All hires complete internal maintenance qualification, aircraft rating checks, and applicable pilot training to maintain operational readiness and safety. Based on technical expertise, aviation background, and fleet requirements, specialists can also be appointed as Maintenance Technicians . These roles require formal company authorization along with FAA approval when mandated . You’ll also perform aircraft rigging, component replacements, routine bench testing, and support Part 107 maintenance test flights and system validation alongside Flight Test and Engineering teams within FAA operating limitations and safety controls. What You’ll Do Perform scheduled and unscheduled aircraft maintenance, preventative maintenance, inspections, and repairs across the commercial UAS fleet according to manufacturer procedures and Part 135 specs. Diagnose and troubleshoot avionic, electrical, mechanical, and software system faults , telemetry logs, and maintenance software. Maintain detailed aircraft logs, component history records, airworthiness tracking, and maintenance documentation in compliance with company SOPs and FAA regulations. Conduct preflight inspection, airworthiness verification, post-maintenance test flights, and ground engine/motor runs prior to returning aircraft to active service. Manage spare parts inventory, tool control, Ground Support Equipment (GSE), and battery management systems to support high-availability flight schedules. Collaborate with Flight Test and Reliability Engineering to evaluate hardware failures, recommend design modifications, and refine maintenance procedures. Work with flight test personnel and cross-functional teams to execute approved test plans, flight test cards, procedures, and dat

Zoox is building a full-stack autonomous mobility solution from the ground up. The System Behavior Analysis team is the front line for triage of driving events and software issues from our vehicle fleet and large-scale simulation, turning that data into engineering signal. As the Technical Program Manager for System Behavior Analysis, you will sit in our Platform SW Integration organization and treat triage as a systems and data problem. Triage sits in the middle of a larger loop, from the fleet and simulation through engineering fixes to validation and release. You will partner with software development, software integration, QA, safety, product, vehicle operations and the Program Management Office. In this role, you will: Drive triage accuracy and routing. Run the triage reviews that get defects, high-severity live-service issues and safety-critical events accurately classified and routed to the downstream teams that act on them. Measure and improve triage health. Track throughput, misclassification, latency, backlog aging, automation coverage and regulatory-reportable issues, and use them to flag risks early and give leadership decision-ready updates. Program-manage triage tooling and automation. Bring requirements to the dedicated tools and automation team, help sequence what gets automated, and track delivery, adoption and the capacity it frees. Manage intake and escalation. Maintain the intake paths, escalation criteria and shared boards partner teams rely on. Plan commitments and capacity. Turn milestones into quarterly triage commitments and forecast demand across onshore, offshore and vendor teams Qualifications Systems-Oriented Background: 3+ years in technical program management or engineering operations, with a systems mindset: you see a program and its hardware-software systems as connected parts, and trace

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. Flexdrive, Lyft's wholly-owned fleet management subsidiary, is undergoing a transformational shift from traditional rideshare fleet operations to autonomous vehicle fleet ownership and operations. We are seeking an AV Program Manager to help drive the cross-functional operating plan that will prepare Flexdrive to receive, staff, and operate AV fleets at scale domestically and abroad. This role supports the operational backbone of Flexdrive's AV readiness initiative. You will maintain the program timeline, coordinate cross-functional workstreams spanning infrastructure, people, fleet operations, treasury, legal, and finance, and help ensure that requirements are tracked, dependencies are surfaced, and deployment milestones are met. You will work closely with workstream leads across Operations, Strategy, Infrastructure, Finance, Legal, Analytics, and People. If you thrive in ambiguity, can bring structure to complex multi-workstream programs, and have a bias toward action, this role is for you. Responsibilities: 1. Program Planning & Execution Maintain the program timeline for Flexdrive AV Operating Readiness, tracking deliverables and dependencies across workstreams: Strategic Planning, Infrastructure, Analytics, People, Fleet Operations, Treasury, Finance, and Legal. Maintain the program's RAID log (Risks, Assumptions, Issues, Dependencies), surfacing cross-functional blockers with clear context for escalation. Support weekly leadership syncs and monthly deep-dive reviews, including preparation, presentation and follow-through. Translate upstream decisions (partner agreements, market selections, ) into operational requirements, updating the readiness roadmap accordingly. 2. Cross-Functional Coordination Serve as a connection point between workstream leads, helping ensure infrastructure time

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

Zoox’s Advanced Hardware Engineering team is in charge of delivering all the autonomous hardware, infotainment electronic control units and electrical components that go into Zoox’s future fleet of self-driving vehicles. At the heart of our hardware architecture is the Primary Compute Unit (PCU) - the compute system that runs the AI stack that enables the vehicle to drive autonomously. We are looking for a seasoned technical program manager own the PCU program end-to-end, including the integrated program schedule. In this role, you will work cross-functionally with our vehicle engineering, systems engineering, software, safety, supply chain, quality, manufacturing and integration teams to achieve our strategic objectives and tactical milestones. You will develop project schedules with numerous dependencies, map program milestones to company milestones, flag and mitigate risks, estimate and maintain budgets, identify solutions to complex problems, navigate ambiguity, all the while holding teams accountable and clearly communicating expectations and ongoing progress. As with any startup, we move fast here at Zoox, and many candidates will be asked from time to time to wear many hats. We would love to hear from you if you are up for solving very challenging problems across numerous cross-functional teams, delivering milestones with numerous dependencies, and scaling your impact by developing and adopting structured ways of working. Additionally, if you are an expert at herding cats and influencing without formal authority, then this role was made for you! In this role, you will: Drive the PCU program forward with thought and energetic leadership, including supporting architecture alignment, hardware development, validation, integration, cross-functional alignment and company-wide communication. This will be done in close partnership with the technical lead and other core team members across multiple departments. Work with department le

Revivn is a profitable and rapidly growing company that helps enterprises manage their technology through our end of life software platform. We take electronic recycling one step further by repurposing hardware that still has remaining life and providing it to people who lack dedicated computer access and make it more affordable for people who may not be able to purchase new technology. Working with companies like Instacart, Lyft, Qualtrics, X, Gensler, and Spotify, we are changing the way companies view used technology with a new model that focuses on repurposing instead of recycling. We're looking for a detail-oriented, highly organized Logistics Coordinator to support our growing logistics operations! This role will help keep our day-to-day logistics running smoothly by maintaining shipment visibility, tracking assets, supporting fleet and vendor compliance, coordinating transportation, and ensuring our logistics data and reporting remain accurate. You’ll work closely with our internal teams, drivers, carriers, and logistics partners across North America. This is a great opportunity for someone with experience in logistics, transportation, dispatch, warehouse operations, fleet, or administrative support who enjoys working with data, solving problems, and keeping a fast-moving operation organized. Please note: This is a fully onsite role based at our Fresno facility, with a Monday-Friday schedule from 7:30am to 4:00pm. What You’ll Do Shipment & Asset Tracking Monitor active shipments, GPS devices, and telematics platforms to maintain shipment visibility and accountability. Track shipment exceptions and quickly escalate delays, service failures, safety concerns, and other operational issues. Manage GPS device deployment, recovery, and inventory. Help ensure Revivn's chain-of-custody and shipment visibility standards are consistently maintained. Data & Reporting Maintain accurate logistics data across Revivn platforms, Notion, Typeform, telematics systems, a

CPI Security, a leader in security and smart home solutions, is looking for a dependable and detail-oriented Facilities Maintenance/Fleet Lead to help keep our facilities, equipment, and fleet operating safely and efficiently. This role supports general maintenance, preventive maintenance programs, vendor coordination, and day-to-day facility and fleet needs across assigned locations. Core responsibility will be based at our location in Charlotte, NC. The ideal candidate is hands-on, organized, and comfortable working independently while following established procedures and safety standards. What You’ll Do Perform general maintenance and repair work, including basic plumbing, carpentry, painting, plastering, electrical, and vehicle servicing. Support preventive maintenance programs and service schedules for facilities, equipment, and fleet assets. Coordinate and monitor weekly, monthly, and quarterly work completed by outside vendors. Safely operate maintenance tools and equipment, including hand tools, pressure washers, blowers, paint equipment, ice removal equipment, and ladders. Communicate with the Asset Manager, cleaning crews, and other team members regarding maintenance needs and completed work. Prioritize daily assignments using sound judgment to complete work efficiently and safely. Complete basic tracking and administrative tasks using Microsoft Office and standard office equipment. Travel to assigned locations as needed to support maintenance and fleet operations. What We’re Looking For 2+ years of maintenance, fleet, facilities, or related experience. Working knowledge of general building maintenance practices and procedures. Ability to safely use common maintenance tools, equipment, and supplies. Basic computer skills, including Microsoft Office. Strong communication, organization, and time management skills. Valid driver’s license required. Ability to travel up to 30%. What’s In It for You $50,000 - $55,000 401(k) with company match Medical

About the Role We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine: design and implement

About the Role REMOTE IN INDIA We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine

As a Staff Engineer on Datadog's Compute – Disruption and Workload Placement team, you'll help define how our Kubernetes fleet scales to meet the demands of rapidly growing AI and cloud-native workloads. You'll work on the systems that ensure engineering teams have the right compute capacity, in the right region, at the right time across AWS, Google Cloud, and Azure. This is a highly technical, high-impact role where you'll shape the future of capacity orchestration, influence platform architecture, and solve infrastructure challenges that directly support Datadog's continued growth. 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: Lead the technical direction of capacity management and workload placement for Datadog's Kubernetes platform spanning 100,000+ virtual machines across multiple cloud providers. Design and build systems that optimize how engineering workloads are scheduled and deployed across regions while balancing capacity constraints, reliability, and performance. Partner across infrastructure teams to evolve multi-region and multi-cloud capacity orchestration as Datadog continues to scale. Develop production software in Go to improve Kubernetes platform capabilities, automation, and operational efficiency. Use data and capacity signals to influence infrastructure decisions, forecast growth, and improve workload placement strategies. Who You Are: You have significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems. You are an experienced software engineer with strong programming skills, ideally in Go or a comparable systems programming language. You have hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure) and understand distributed cloud infrastructure. Yo

As a Staff Engineer on Datadog's Compute – Disruption and Workload Placement team, you'll help define how our Kubernetes fleet scales to meet the demands of rapidly growing AI and cloud-native workloads. You'll work on the systems that ensure engineering teams have the right compute capacity, in the right region, at the right time across AWS, Google Cloud, and Azure. This is a highly technical, high-impact role where you'll shape the future of capacity orchestration, influence platform architecture, and solve infrastructure challenges that directly support Datadog's continued growth. 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: Lead the technical direction of capacity management and workload placement for Datadog's Kubernetes platform spanning 100,000+ virtual machines across multiple cloud providers. Design and build systems that optimize how engineering workloads are scheduled and deployed across regions while balancing capacity constraints, reliability, and performance. Partner across infrastructure teams to evolve multi-region and multi-cloud capacity orchestration as Datadog continues to scale. Develop production software in Go to improve Kubernetes platform capabilities, automation, and operational efficiency. Use data and capacity signals to influence infrastructure decisions, forecast growth, and improve workload placement strategies. Who You Are: You have significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems. You are an experienced software engineer with strong programming skills, ideally in Go or a comparable systems programming language. You have hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure) and understand distributed cloud infrastructure. Yo

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role We’re looking for a Solutions Marketing Manager to shape how LangChain brings its full platform to priority industries, enterprise buyers, and high-value use cases. This role sits at the intersection of product and GTM. You’ll translate customer problems into clear solution narratives, repeatable sales plays, campaign themes, and customer-facing assets that help teams understand where LangChain fits in their AI strategy. You’ll develop industry solutions, use case solutions, and enterprise solution stories for segments such as financial services, healthcare, life sciences, and other priority markets. You’ll work closely with sales, solutions, product, demand ge

The opportunity We are looking for a Manager to join our Commercial team and strengthen our Direct Accounts & Leasing business in Germany. In this role, you will be responsible for developing and managing strategic relationships with key leasing companies, fleet customers, subscription providers, and other direct sales partners. You will play a central role in driving sustainable fleet growth, supporting commercial performance and ensuring that Polestar remains a preferred partner for the professional mobility market. By working closely with internal stakeholders and external partners, you will contribute directly to achieving our commercial objectives and strengthening our position in the German fleet market. This position is based in Germany, preferably in the Cologne area. Some travel within Germany will be required. The responsibilities In this role, you will be responsible for managing strategic direct sales partnerships while identifying new business opportunities and supporting the continued growth of Polestar's fleet business in Germany. Your main responsibilities include: Managing and developing relationships with key leasing companies, fleet customers, subscription providers, rental companies, and other direct sales partners Driving vehicle sales through existing partners while identifying and acquiring new Direct Accounts Leading regular business reviews with strategic partners to monitor performance, identify growth opportunities and strengthen long-term collaboration Negotiating commercial agreements/contracts and supporting the implementation of joint business plans and marketing activities Working closely with internal stakeholders across Sales including Remarketing, Marketing, Operations, Finance, Product, and Customer Support to ensure successful partner onboarding and business execution Monitoring market trends, competitor activities and fleet developments to identify opportunities and recommend commercial actions Supporting sales forecasting, pipe

Location : Come and join us either in Berlin or Hamburg! 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 are partnering with local fleets to provide them with our advanced Dispatch and Fleet Management software completely for free, helping them cut costs, defend against ride-hailing giants, and thrive. We are looking for an empathetic, relentless, and hands-on Sales Manager to be the face of this initiative! YOUR DAILY ADVENTURES WILL INCLUDE: Prospect, engage, travel and pitch our Dispatch tool to SMB taxi companies. You will be the primary catalyst for transitioning legacy fleets into modern, connected partners Guide fleet owners and head 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 in B2B Business Development, Sales, Account Executive roles. Backgrounds in mobility, logistics, or selling SaaS to SMBs are highly preferred 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 Ability to deeply understand how a partner's business operates on a procedural level. You are adept at guiding new partners step-by-step through the transition, ensuring they smoothly adopt new software and daily routines You view travel not as a chore, but as an essential part of the job. You are comfortable being on the road for a significant portion of your time (up to 40-50%) to meet partners exactly where they operate Fluency in German and English is required