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Fleet Operations Associate Manager Jobs

500 active opportunities · Updated for October 2026

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Explore current fleet operations associate manager jobs. Use filters to narrow by work mode, employment type, experience and date posted.

L
1mo ago

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 is seeking a Financial Analyst to join our FP&A team supporting Lyft Urban Solutions (bikeshare and micromobility), focusing on financial planning, RFP bid modeling, and strategic analysis. The ideal candidate will bring strong financial modeling expertise, attention to detail, a bias for action, and the ability to operate effectively with ambiguity. Combined with a continuous improvement mindset, this foundation will support strategic decision-making at Lyft. In addition to analysis in support of strategic decision-making, this role will also focus on financial close management and reporting. Responsibilities: Own core FP&A activities: budgeting, forecasting, variance analysis, and monthly financial reporting for leadership Support monthly close processes: reconcile actuals to budget, identify and explain variances, validate accruals, coordinate with Accounting Synthesize financial data from multiple sources (Oracle, fleet systems, P&L data) into clean, well-documented models Maintain and improve financial forecasting models and reporting processes Identify and implement process improvements to reduce manual effort, increase automation, and improve data accuracy and transparency Partner with Ops and Commercial teams on RFP requirements, cost assumptions, and financial modeling for bid scenarios Build comprehensive financial models for RFP bids: 10 year projections covering fleet sizing, capital deployment, unit costs, and profitability Conduct scenario analysis and sensitivity testing on RFP models to stress-test assumptions and inform decision-making Create and present financial analyses, decks, and leadership summaries communicating performance, insights, and recommendations Experience: Strong business acumen and ability to partner effectively across Operations, Commercial, and Fi

Excelaccountingfinance
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S
Snowflake
📍 Bellevue• Full-time• Remote• $200K – $287.5K/yr
1mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Software Engineer, Capacity Engineering At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic, fast-moving environments and approach challenges with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake’s infrastructure is expanding rapidly across AWS, Azure, and GCP. The Capacity team plays a pivotal role in provisioning the cloud resources essential for Snowflake's operations and ongoing growth. Capacity Engineering accurately models demand, forecasts requirements, and delivers optimal CPU and GPU capacity on schedule. We drive hardware cost-efficiency and price/performance while continually maximizing fleet utilization. To achieve this across all major cloud providers, the team is building a centralized, self-se

REMOTEpythonjavaaws
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DU
DoorDash USA
📍 San Francisco• $193.8K – $285K/yr
2mo ago

About the Team The DoorDash Air team is bringing drone delivery to reality. To make this happen, we’re building a strong electrical team to design high reliability, high power density converters, and fault-tolerant controls electronics. Come join us to build a new class of aircrafts and deploy at scale. DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role As the Product Manager Airspace & Autonomy for DoorDash Air’s Airspace and Autonomy capabilities, you will own the end-to-end product strategy for the software, services, autonomy, perception, human interfaces and related capabilities required to deploy autonomous drone delivery at scale. You will connect DoorDash’s order and logistics platform with the aircraft, autonomy stack, mission-planning services, UTM capabilities, fleet-management tools, and operator workflows that execute each delivery. You will define how an order moves from merchant readiness through dispatch, airspace validation, autonomous flight, delivery, and completion within the broader DoorDash marketplace, ensuring that new features align to DoorDash Air’s roadmap across teams while balancing execution timelines against technical debt. You will lead product direction across autonomy, aviation software, services, hardware, systems engineering, flight operations, UTM, safety, regulatory, data, and DoorDash platform teams. You will work closely with the Head of UTM and senior En

Excellogisticsrecruitment
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V
Vercel
📍 New York• Hybrid• $208K – $312K/yr
3mo ago

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for a Security Software Engineer, Detection & Response, to build the telemetry, logging, and response systems for our Detection & Response team, as a builder, not a queue-triage role. You will build detection and response as software across a multi-cloud fleet of servers, containers, and endpoints, and test where AI and agents can safely take work off responders. This is a hybrid role based in San Francisco, New York City, or London, with three days a week in the office. What you’ll do: Deploy and operate telemetry at fleet scale with osquery and extended Berkeley Packet Filter (eBPF) sensors across servers, containers, and endpoints, and own performance overhead, staged rollouts, canaries, and rollbacks Build and maintain the logging and security information and event management (SIEM) pipeline behind detection, including ingestion, normalization, enrichment, storage, and cost, with detections written as code with tests, code review, and continuous integration and continuous delivery (CI/CD) Automate response with tooling for host isolation, credential revocation, evidence collection, and enrichment, and test where AI and agents can safely take work off responders Strengthen the corporate security stack, including endpoint detection and response (EDR) and fleet management across Mac, Windows, and Linux, email security, and GitHub controls Join the on-call rotation, work with the managed security operations center (SOC) on escalations, and automate evidence collection for System and Organization Controls 2 (S

pythonsqlaws
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R
Roblox
📍 San Mateo• Full-time• $345K – $399.4K/yr
3mo ago

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

kubernetes
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Z
4mo ago

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Software Engineer (Service Platform & Orchestration) to join our team. This is a Hybrid (3 days in office) role, reporting to the VP, Engineering in the Zero Trust Exchange department. In this high-ownership position, you will engineer the management plane and reliability systems that govern ZIA’s fleet lifecycle at massive scale. This is a hands-on building role where you will lead the transformation of our infrastructure from legacy automation into a stateful, durable management plane (built on Temporal) to achieve deterministic "one-touch" provisioning and lifecycle operations. You will treat "infrastructure as a distributed system," developing self-healing capabilities and AI-driven SRE practices for a global fleet of 100k+ instances. What you’ll do (Role Expectations) Lead the hands-on development and migration to a workflow-as-code platform (Temporal), building replay-s

pythonjavapostgresql
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N
4mo ago

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 The Robotics Reliability Engineering (RRE) team at Nuro focuses on fleet reliability as our AV capabilities and operating footprint grow. We work across software, hardware, infrastructure, and operations to understand fleet behavior and improve operational readiness. When high-severity events impact missions or fleet-wide performance, RRE coordinates investigations and ensures that lessons learned result in durable platform improvements. About the Role This is a 12 month temporary full-time position with full benefits and potential for extension based on performance and business needs. As a Software Reliability Engineer at Nuro, you will help design,

pythonlinuxrest
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S
Stripe
📍 Toronto• Full-time
5mo ago

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Product Design team is made up of several groups that define, create, and deliver all user-facing aspects of Stripe’s brand and product. Product Designers are strategic partners to Engineering and Product Management within their product area. In close collaboration with product teams, they shape user experiences, then translate them into high-quality designs that can be tested, shipped, and refined. Designers are responsible for building elegant, functional products that users love—and want to tell others about. The Terminal design team crafts product experiences that empower users to configure and manage in person payments. This team transforms the intricate world of payments into intuitive solutions, letting users focus on growing their businesses. The team spans hardware and software, focusing on many types of users: end users who pay at the point of sale, cashiers and operations managers who set up and run the devices, and merchants who manage a fleet of devices and need to monitor performance. What you’ll do As a product designer, you’ll work closely with the product manager and engineering team to envision payments features in the Stripe Dashboard and our end-user-facing surfaces and partner with go-to-market teams to bring them to users. That includes new feature development, product quality improvements to our most frequently used workflows, and setting vision for our products to meet new user expectations in an increasingly data

DU
DoorDash USA
📍 San Francisco• $130.6K – $192K/yr
20mo ago

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 cutting-edge technology to solve complex problems and enhance delivery experiences for millions of users, we want to talk to you! The Air team is focused on bringing the dream of fast, efficient, and delightful last mile delivery through the air to life. As one of the leaders in this space, we believe strongly in the promise of combining advanced robotics, aviation, and operational innovation to bring this high flying technology into our 3-sided marketplace. We are a team of doers, heavily focused on bringing our products and visions to market. About the Role Are you an engineer passionate about using UAV technology to reimagine logistics? Do you thrive in developing and deploying state-of-the-art systems in real-world environments? Do you love getting your hands dirty and turning large visions into practical realities? If so, we want to talk to you! You're excited about this opportunity because you will... Design and implement backend services for autonomous drone delivery that integrates with core DoorDash data, focusing on intelligent path planning, real-time fleet management, and dynamic airspace awareness. Develop and maintain robust, scalable, and fault-tolerant systems to manage a fleet of delivery drones, ensuring safe and efficient operations. Implement simulations and testing frameworks to validate the performance and reliability of path planning algorithms. Improve performance, reliability, scalability, and security for our drone backend systems, with a particular emphasis on ensuring safe and compliant drone operations. Introduce tools and best practices to accelerate our drone development process and ensure adherence to aviation regulations. We're excited about you because you have... B.S., M.S., or Ph.D. in Computer Science, Robotics, Aerospace Engineering, or

sqlpostgresqlredis
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Webflow
📍 Argentina Remote• Remote
Just now

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. About the Role We’re looking for a S enior Infrastructure Engineer to improve reliability and stability of Webflow’s customer-facing, production infrastructure, serving millions of page views per hour. Our product is used by over 2 million users world-wide across 190 countries, and you’ll help ensure our platform is secure and scalable for these users as tens of thousands of projects are launched on Webflow each month. Location: Remote-first (Argentina) Permanent, full-time employee (this is not a contractor position) Application Information: Application deadline: applications accepted on an ongoing basis until position is closed and filled This posting is for a new position. As an Senior Infrastructure Engineer you will: Own and evolve the cloud platform that Webflow's product and engineering teams depend on, including our compute layer, EKS fleet, serverless infrastructure, networking, and cloud operations across AWS and GCP. Help design and maintain our infrastructure-as-code foundation, evolving the patterns and shared components other teams build on. Design and maintain the networking layer that connects Webflow's services, ensuring reliability, security, and scalability across our cloud environments. Help make observability data the foundation of how we operate, improving the dashboards, alerts, and SLOs for the infrastructure you own so that issues are caught before customers notice, and on-call pages are actionable instead of noisy. Build and maintain AI-powered automation that improves how we manage cloud infrastructure, from policy-as-code and drift detection to LLM-assisted runbook generation. Help define the culture of this growing team as

REMOTEawsgcpkubernetes
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S
Just now

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Storage Abstractions (STAX) team builds the software layer through which Stripe services access stored data. We own the database SDKs that hundreds of Ruby and Java services use to read and write data safely, reliably, and efficiently without needing to understand the underlying database, routing, or operational complexity. Our work creates leverage across Stripe: by providing stable interfaces and safeguards at the storage layer, we help teams build products with confidence while enabling Stripe’s data architecture to evolve. Alongside engineers, we are designing for AI agents as customers of this foundation, making storage capabilities discoverable, interoperable, and safe to use across languages and storage backends. What you’ll do As a Staff Software Engineer on STAX, you will set technical direction and lead multi-year initiatives at the intersection of developer infrastructure, data access, and AI. You will work hands-on with engineers across Stripe to make storage access simpler, safer, and more interoperable, while helping product and infrastructure teams evolve their systems without fleet-wide migrations. You will help turn Stripe’s AI strategy into practical developer infrastructure by treating AI agents as customers of the storage layer. This is an opportunity to build frameworks and interfaces that make complex storage operations discoverable, interoperable, and safe for both human developers and agentic workflows, while rais

pythonjavamongodb
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O
OpenAI
📍 San Francisco• Full-time• Remote• $347K – $385K/yr
12mo ago

About the Team The Connectivity Software Engineering team is responsible for enabling seamless, secure, and high-performance wireless connectivity across OpenAI’s products. We design and optimize Bluetooth, BLE, Wi-Fi, and emerging wireless technologies to ensure robust device pairing, network performance, and interoperability. Our work spans kernel drivers, system services, and user-level tools, with a focus on real-world performance, scalability, and reliability. About the Role OpenAI is seeking a Connectivity Software Engineer to design, implement, and optimize wireless connectivity features across our product ecosystem. You’ll work at the intersection of systems software, wireless standards, and hardware integration—building robust pairing and provisioning flows, debugging low-level protocols, and driving performance under real-world RF constraints. You will also support certification, field interoperability, and fleet-scale connectivity infrastructure. This role is based in San Francisco, CA . We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, implement, and debug Bluetooth/BLE and Wi-Fi features across kernel drivers, BlueZ/wpa_supplicant/hostapd, and systemd/D-Bus services Deliver robust pairing, bonding, and provisioning flows (GATT/GAP, LE Audio/LC3, WPA3/802.1X, captive portals, NAN) Optimize link performance: throughput, latency, jitter, roaming, coexistence (BT↔Wi-Fi), and power modes (TWT, WoWLAN) Build reliable network management using NetworkManager/nmcli, nl80211/cfg80211/mac80211, DNS/DHCP/mDNS, P2P/SoftAP Instrument and analyze with packet captures and tooling (btmon/hcidump, Wireshark, iperf, eBPF/perf, spectrum sniffers) Drive interoperability and certification readiness (Bluetooth SIG, Wi-Fi Alliance) and resolve field issues with root-cause fixes Contribute to OTA-safe configuration, telemetry, and diagnostics for fleet-scale operation You might thrive in

REMOTEpythonlinuxartificial intelligence
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N
1mo ago

Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the Role Data is the foundation of autonomous driving. Every improvement in Nuro’s autonomy stack depends on identifying the right real-world examples, transforming them into high-quality training and evaluation datasets, and rigorously validating that each software release is ready for the road. As Director of AI Data Operations, you will lead the organization responsible for this critical development loop—from producing the data that trains and evaluates Nuro’s AI models to identifying autonomy regressions and building confidence in every software release. Your work will directly influence how quickly our models learn, how effectively engineering teams resolve performance gaps, and how safely new capabilities reach the vehicle. Sitting at the center of Nuro’s autonomy organization, your team will work closely with machine learning, autonomy, simulation, onboard systems, data science, and product teams. You will also help Nuro take advantage of emerging technologies, including multimodal foundation models, LLMs to improve how training data is created and how system performance is evaluated. We are looking for a proactive, technically fluent operational leader who can identify gaps across the autonomy development lifecycle and build the teams, systems, and partnerships needed to close them. You will define the long-term vision for software operations while devel

machine learningai
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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 The Perception ML Operations team sits at the center of how Nuro's vehicles learn to see. We are responsible for the training and evaluation data that powers perception models across every sensor modality: vision, lidar, radar, and beyond. We work alongside ML engineers, product owners, data engineers, and external labeling partners to turn ambiguous, fast-moving requirements into data deliverables the Perception team can build on with confidence. This is a team that operates at the intersection of ML urgency and operational discipline. Here is what the work actually looks like day-to-day: Sitting in a roadmap review, hearing a new feature requirement land, and walking out with a concrete data collection and labeling plan already scoped against timeline and budget. Reviewing vendor throughput against milestone dates and catching a capacity gap before it would become a release risk. Querying pipeline data directly to unders

pythonsqlai
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Nuro
📍 United States• Full-time• From $99K/yr
5mo ago

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 The Software Operations team is at the heart of how Nuro's autonomy software gets built right. We own QC, tool testing, and bug reproduction across labeling workflows, and we care deeply about the craft of doing that work well. You'll sit inside the team, learn the work firsthand, and help build the systems that make quality achievable at scale. You'll report directly to the Head of Software Operations with real access, real context, and a genuine mandate to make things better. About the Role We're looking for someone who can walk into a working system, figure out where it's actually breaking, and build the case for how to fix it, without being told where to look. Give you a workflow and a few weeks, and you'll come back with a theory of what's wrong, evidence for it, and a specific recommendation, not a request for more direction. The procedures, rubrics, and taxonomy you'll touch are downstream of that investigation

aiproject managementlogistics
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