Fleet Operations Associate Jobs

The IT Systems Engineering team builds the systems and processes that keep Asana running: endpoint management, identity, and the enterprise applications every Asana employee uses every day. As Manager of IT Applications and Client Platform Engineering, you’ll lead four engineers: two on client platform, two on applications. You report directly to the Head of IT Systems Engineering. This is a player/coach role: you set direction, run planning, and step in on escalations and architecture decisions while your engineers own most of the day-to-day. Your primary depth is in endpoint engineering; you have enough SaaS administration background to lead the apps side without micromanaging it. We’re looking for someone who knows endpoint work deeply and is ready to grow as a manager. Your title history matters less than technical foundation and how you work with people. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you’re interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Lead and develop your team. Manage and mentor four engineers (two on CPE, two on Apps). Set priorities, clear blockers, and help each person grow. Own the client platform program. Set strategy and lead execution for Asana’s endpoint fleet: macOS, Windows, and mobile. This means MDM infrastructure, zero-touch deployment, software catalog, and OS lifecycle. We’re primarily an Apple shop with a growing Windows footprint. Strengthen endpoint security. Work with the Corporate Security team to harden our endpoint posture, respond to incidents, and build initiatives that connect security priorities and endpoints. Oversee the applications engineering function. Your Apps engineers manage the

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Join the Okta Device Access (ODA) team as an outcome-driven and customer-focused Product Manager. Okta Device Access unifies access management from any device to all applications to minimize modern security risks and improve business efficiency. As a Product Manager for Okta Device Access, you will own key product areas and contribute to the continued evolution of ODA to meet customer and business needs. You will work closely with senior product leaders, engineering, and design to define how enterprise organizations secure and manage identity on Windows and macOS endpoints - from deploying the first device, to day two troubleshooting, to fleet level visibility. If you’re passionate about improving customer security and engaging with a vibrant community, we’re looking for you. Your primary responsibilities in these areas will include: Define and execute the roadmap for the Okta Device Access Experience & Lifecycle Own the administrator experience for fleets of devices with Okta Device Access across multiple platforms Drive the Okta-joined administrator experience end-to-end: from enrollment and provisioning to support troubleshooting to device lifecycle management. Collaborate with engineering, design and research teams to define and document user stories and use-cases to guide product development. Conduct research and analysis to identify customer needs and pain points, and use this information to inform innovation, product decisions and prioritiz

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Job Title: Staff Software Engineer, Edge Team. Intro : The Edge team owns the systems (including CDN, TLS, DNS, ingress/egress proxy fleet, and rate limiting) that connect 600M+ users to Pinterest. We're looking for a Staff Software Engineer to lead our efforts to manage automation traffic (such as bots and crawlers) at the Edge, while shaping the future of our rate limiting platform.. What you’ll do: Build Edge systems that combine in-house implementation, open-source software like Envoy proxy, and multiple CDN & DNS providers. Balance what to build, what to leverage from the community, and what to orchestrate across vendors. Drive automation traffic management efforts in the Edge space, designing solutions to manage bots and crawlers at scale. Design and implement request processing logic in Envoy to support Edge capabi

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. The Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. To strengthen our efforts, we are hiring a Senior ML Engineer who will work end-to-end on creating and improving new capabilities to detect changes in the environment and reflect them in our Lyft map using a wide variety of input sources from the Lyft fleet. For this we are looking for someone who values software engineering best practices, loves the algorithmic and geospatial side of the challenge and is data-driven from start to end. Our technology stack ranges from basic machine learning models to large language models and running them at scale on millions of images. You will work with incredibly passionate and talented colleagues from machine learning, data science, and engineering on projects that delight our passengers and drivers – powered by an up to date map. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing proble

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 Stripe Issuing team enables users–from the most promising startups and largest platforms in the world to Stripe itself—to build and launch successful card programs and financial features into their product using powerful programmatic APIs and intuitive UIs. The team creates the infrastructure, user facing experiences, and partner integrations needed to manage the lifecycle of a card and enable efficient money movement. This is a great opportunity to help build one of Stripe’s fastest growing businesses. Our top users span fintechs to large enterprises & cover a range of verticals including Buy Now Pay Later, vertical SaaS platforms, on-demand marketplaces, expense management platforms, fleet, travel & more across the world. What you’ll do As EMEA Product Lead for Stripe Issuing, you will lead our product development efforts for building the best-in-class card issuance systems, including designing user-facing APIs and interfaces and working directly with top global users in building and growing their card programs in EMEA. This is a highly complex and challenging role that will require you to deeply understand user needs and collaborate across internal and partner teams to build and launch a seamless product experience at scale. We’re looking for a strong Product Lead that can run Stripe Issuing in EMEA like a standalone business, with expertise in partnering with go-to-market teams to scale our EMEA Issuing business. This Product

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We're seeking a System Software Engineer to join our First-Party Hardware team. In this role, you will design, build, integrate, and validate low-level system software for the manageability and health of OpenAI's first-party AI hardware systems. You will work across BMC, Linux, firmware interfaces, automation infra, boot and recovery, hardware diagnostics, telemetry, host and platform drivers, network software interfaces, and manufacturing and fleet readiness. A major part of this role is owning the acceptance path for partner-delivered system software: defining requirements, reviewing code and artifacts, reproducing builds, building tests, pushing fixes, and producing the evidence needed for launch decisions. This role is hands-on and high-ownership. You will write and review low-level software, debug issues across hardware and software boundaries, build infra and automation to test and manage devices in lab, guide partner deliverables, build validation evidence, and help carry platforms from bring-up through production deployment. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role, you will: Design, develop, and maintain low-level firmware and system software for first-party AI hardware manageability, including BMC software, Redfish services, gNMI telemetry, firmware update and recovery flows, BIOS/UEFI interactions, platform drivers, and hardware diagnostics. Own integration and acceptance of partner and ve

About the Team Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprise and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference. About the Role We are looking for an engineer who wants to take the world's largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment. In this role, you will: Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production. Work alongside researchers to enable advanced research through awesome engineering. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack. Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues. Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware. You might thrive in this role if you: Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. Have at least 5 years of professional software engineering experience. Have or can quickly gain familiarity with PyTorch, NVidia GPUs and the software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, etc. Have experience architecting, building, observing, and debugging production distributed systems. Bonus point if worked on performance-critical distributed systems. Have need

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role As a software engineer on the Scaling team, you’ll help build and optimize the low-level stack that orchestrates computation and data movement across OpenAI’s supercomputing clusters. Your work will involve designing high-performance runtimes, building custom kernels, contributing to compiler infrastructure, and developing scalable simulation systems to validate and optimize distributed training workloads. You will work at the intersection of systems programming, ML infrastructure, and high-performance computing, helping to create both ergonomic developer APIs and highly efficient runtime systems. This means balancing ease of use and introspection with the need for stability and performance on our evolving hardware fleet. This role is based in San Francisco, CA, with a hybrid work model (3 days/week in-office). Relocation assistance is available. In this role, you will: Design and build APIs and runtime components to orchestrate computation and data movement across heterogeneous ML workloads. Contribute to compiler infrastructure, including the development of optimizations and compiler passes to support evolving hardware. Engineer and optimize compute and data kernels, ensuring correctness, high performance, and portability across simulation and production environments. Profile and optimize system bottlenecks, especially around I/O, memory hierarchy, and interconnects, at both local and distributed scales. Develop simulation infrastructure to validate runtime b

About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users. That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that turn real-world usage into better models and better agent behavior over time. About the Role We’re looking for engineers to build the infrastructure that powers Codex agents in production. This role focuses on the systems that let models safely execute code, interact with tools, complete long-running tasks, and operate reliably and efficiently at scale. You’ll design and operate the infrastructure behind sandboxed execution, orchestration, stateful workflows, app-server and SDK boundaries, and model rollouts. You’ll work at the intersection of distributed systems, developer tooling, and AI, building primitives that make Codex faster, safer, more reliable, and easier for the rest of the organization to build on. What You’ll Do Design and build execution environments for AI agents, including sandboxing, isolation, and reproducibility. Develop systems for agent orchestration across multi-step, tool-using workflows. Build infrastructure for running, testing, and debugging code generated by models. Create state and memory systems that allow agents to persist context across long-running tasks. Optimize tokens, latency, reliability, and cost across Codex’s production fleet. Support model rollouts, capacity planning, and the core tradeoffs between quality, speed, and economics to manage a fleet of frontier agents at scale. Build shared platform capabilities that unblock product teams, partner teams, and open source Codex. Yo

Buyer – Admin Real Estate & HR Procurement: Role Overview: The Buyer – Admin, Real Estate & HR Procurement will be responsible for managing end-to-end sourcing and procurement activities across Administration, Facility Management, Lease Rentals, and HR-related categories. The role includes vendor sourcing and management, commercial negotiations, contract and lease administration, PR-to-PO processing, spend analysis, and ensuring the timely procurement of goods and services in compliance with company procurement policies. The ideal candidate should possess strong negotiation, analytical, stakeholder management, and coordination skills, along with a service-oriented approach and a keen eye for detail. Key Responsibilities: Administration Procurement: - Manage procurement of office supplies, stationery, pantry items, and other administrative requirements. - Coordinate procurement for facility management services, including housekeeping, security, pest control, and maintenance services. - Source and procure office infrastructure such as furniture, workstations, printers, and related equipment. - Track and manage Annual Maintenance Contracts (AMCs), ensuring timely renewals. - Support procurement requirements for corporate events, employee engagement initiatives, and office activities. - Coordinate travel and accommodation bookings in line with company policies. - Ensure timely conversion of Purchase Requisitions (PRs) into Purchase Orders (POs). - Maintain an updated vendor database and monitor vendor performance. - Conduct cost comparisons and negotiate commercial terms within the approved authority limits. Lease Rental Management: - Manage procurement support for office spaces, branches, warehouses, fleet hubs, and other leased facilities. - Collaborate with Business, Administration, Finance, and Legal teams for new lease acquisitions, renewals, amendments, and lease closures. - Participate in commercial negotiations with landlords, property owners, and real est

Role Overview The Buyer – Admin & HR Procurement will support end-to-end sourcing and procurement activities related to Administrative, Facility Management, Lease Rental, and HR requirements. The role involves vendor identification and coordination, commercial negotiations, lease management, PR-to-PO processing, cost comparison analysis, contract administration, and ensuring timely availability of services and materials in compliance with company procurement policies. This position requires strong coordination skills, attention to detail, analytical ability, negotiation capability, and a service-oriented mindset. Key Responsibilities Admin-Related Procurement - Manage procurement of office supplies, stationery, and pantry items - Coordinate facility management services including housekeeping, security, pest control, and other facility-related services - Procure office equipment such as printers, furniture, workstations, and related accessories - Support Annual Maintenance Contract (AMC) tracking and renewals - Coordinate arrangements for corporate events and employee engagement activities - Facilitate travel and accommodation bookings as per company policy - Ensure timely processing of Purchase Requisitions (PR) to Purchase Orders (PO) - Maintain vendor database and vendor performance records - Conduct cost comparisons and negotiate within defined authority limits Lease Rental Management - Manage procurement support for office, branch, warehouse, fleet hub, and other leased premises - Coordinate with Business, Admin, Finance, and Legal teams for new lease acquisitions, renewals, amendments, and lease closures - Support commercial negotiations with landlords, property owners, and real estate consultants to achieve competitive commercial terms - Review lease proposals and ensure compliance with company procurement policies and approval workflows - Coordinate execution of lease agreements and maintain trackers for lease expiry, renewals, rent escalations, security depo

... Address: Chennai 1 ETC Tower 200 Feet Road MCN Nagar Extension Pallavaram Ring Road Thoraipakkam Facility: TCS MAGNUM - FM Qualification: 12th Experience: 2 - 3 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP565585

Associate Mail runner Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Chennai Facility: COMCAST INDIA - IFM CHENNAI Qualification: 12th Experience: 1 - 3 years Source: Sodexo India | Job Code: IJP574671

Associate housekeeping supervisor Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Chennai Facility: COMCAST INDIA - IFM CHENNAI Qualification: 12th Experience: 1 - 3 years Source: Sodexo India | Job Code: IJP568193

Associate housekeeping Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Chennai Facility: COMCAST INDIA - IFM CHENNAI Qualification: 8th Experience: 1 - 3 years Source: Sodexo India | Job Code: IJP568184