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Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We are looking for a Senior Site Reliability Engineer (SRE) to join the Compute Node team at Nebius AI Cloud. The Compute Node team is responsible for building and operating the cluster scheduler and node-level services that run and manage virtual machines across all cloud regions. This role focuses on Linux systems engineering, virtualization and operational reliability. You will work close to the operating system and hypervisor, shaping how reliability and observability are embedded into the Compute platform. Y our responsibilities will include: Ensure reliability, availability and performance of compute nodes running VMs Analyze and debug Linux systems across user space and kernel space, understanding capabilities, limitations and trade-offs at each layer Troubleshoot complex production issues involving CPU, memory, NUMA, cgroups and scheduling Work hands-on with virtualization and containerization, primarily using QEMU/KVM and Linux-native technologies Design and evolve observability as a core capability of the node layer: metrics, logs, traces, alerts, SLIs and SLOs Lead incident response, root-cause analysis, and postmortems, driving long-term reliability improvements Collaborate closely with platform, kernel/hypervisor, GPU and infrastructure teams to improve system design and operability We expect you to have: Strong Linux expertise: deep understanding of Linux user space and kernel space knowledge of kernel subsystems (scheduler, memory management, filesystems, cgroups, namespaces) clear understanding of system boundaries and constraints at different layers Virtualization experience: hands-on experience with QEMU/KVM understanding of VM lifecycle, performance characteristics and failure modes Containerization knowledge: practical experience with containers, namespaces and cgroups strong understanding of resource isolation and control Strong debugging skills: ability to reason about complex system failures structured, hypothesis-driven approach to incident analysis SRE mindset: clear understanding of the SRE role in system design and operations experience building and operating observability stacks, not just consuming them ability to turn system behavior into actionable reliability signals Nice to Have / Optional: Experience with Kubernetes internals or node-level components Hands-on experience with low-level Linux debugging tools (e.g. perf, eBPF, ftrace, strace, kernel crash dumps) Familiarity with large-scale compute or bare-metal platforms Contributions to open-source infrastructure or system software Experience debugging hardware and driver-level issues, including GPUs, NVLink, InfiniBand Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO As a Software Engineer on our Site Reliability team at Sierra, you will be responsible for defining and building the foundation of reliability, observability, and scalability across Sierra’s AI-driven infrastructure. You’ll partner closely with our core engineering and product teams to ensure our systems are highly available, efficient, and built for growth. - Own Sierra’s observability stack—monitoring, alerting, logging, and tracing—to give engineers clear visibility into system health and performance. - Partner with product and platform engineers to design systems that are reliable and scalable from day one—not as an afterthought. - Design and implement scalable, reliable, and secure cloud infrastructure (AWS) using Terraform and modern DevOps tooling. - Improve the reliability and scalability of our LLM deployments, ensuring robust, performant, and cost-effective operation. - Lead improvements to deployment pipelines, CI/CD tooling, and incident management processes to reduce downtime and response time. - Define the foundation of SRE practices at Sierra, influencing culture, tooling, and best practices across the engineering org. WHAT YOU'LL BRING - 5+ years of hands-on experience in Site Reliability or Infrastructure engineering roles for complex SaaS or cloud-based systems. - Experience designing for availability, scalability, and reliability at both infrastructure and application layers. - Deep experience with Terraform, AWS services, container orchestration, and cloud networking (including IAM and VPC architecture). - Strong background in observability systems (e.g., Prometheus, Grafana, Datadog, or similar). - Experience working with enterprise customers and familiarity with their compliance and networking needs along with integration patterns. - Comfortable working in fast-moving environments and collaborating across product, ML, and core engineering teams. - Degree in Computer Science or a related field, or equivalent professional experience. EVEN BETTER... - Experience with LLM infrastructure — optimizing inference performance, managing fine-tuned models, or large-scale model deployment. - Past experience in an early-stage startup environment, especially defining SRE culture and tooling from scratch. - Familiarity with incident management automation or self-healing infrastructure patterns. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The team The Hardware Automation team builds the internal platforms and tooling that power how Nebius operates its data center infrastructure at scale. Our mission is to eliminate manual effort, reduce human error, and give every team in the Hardware Infrastructure department real-time visibility and control over the systems they own. We operate as a product engineering team embedded within hardware infrastructure — meaning we don't just write requirements and hand them off. We own the full stack: from requirements gathering with data center operations and hardware engineering, through design and build, all the way to rollout and ongoing reliability. The role Ensure fault-tolerance, scale and uninterrupted operations for our services. Use cutting-edge technology to solve a variety of infrastructure problems. Implement and improve CI/CD processes. We expect you to have : Proficiency in Linux systems, with expertise in Python and Bash scripting for automation. Demonstrated ability to troubleshoot complex system issues, including hardware, software and networking problems. Strong analytical and problem-solving skills, with a focus on optimizing system performance. Working proficiency in English. It would be an added bonus if you had : Desire to be involved in backend development. Experience designing, developing and running high-load distributed systems. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Prague, Czech Republic; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Token Factory is a part of Nebius Cloud , one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens. In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets. Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about. If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands; Berlin, Germany; Germany; Israel; London, United Kingdom; Prague, Czech Republic; Remote - Europe; United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Y our responsibilities will include: Ensure fault-tolerance, scale, and uninterrupted operations for the service. Use cutting-edge cloud technology to solve a variety of infrastructure problems. Implement and improve CI/CD processes. We expect you to have: Solid experience with programming languages (like Go, Python, or C++); Solid understanding of classic algorithms and data structures; Commercial experience with and deep understanding of Unix systems and network technology; Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm). It will be an added bonus if you have: Desire to be involved in backend development; Experience designing, developing, and running high-load distributed systems; Commercial experience with a variety of cloud platforms. We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Home Based - APAC; Home based - EMEA Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in more than 80 countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring a Site Reliability Engineering Manager aspiring for a world-class devops and gitops engineering management challenge, bringing together operations management, software engineering and product development, and team leadership in a single high-value role. You will need to be a Linux and operations expert, as well as a great manager capable of leading a high-performance team, to excel in this role. The Information Systems team at Canonical runs services used by over 60 million Ubuntu users. Our mission is to pioneer and prove new and better approaches to large-scale IS. We support Canonical and Ubuntu operations, but we also help shape Canonical's managed application service offerings, raising the bar on devops and cloud-native operations. We take infra-as-code to the next level, blazing a trail to next-generation model-driven operations. We not only aim to automate every process that underpins our business, we also share that automation as open source packages which others use to drive their own operations. From Kubernetes to the kernel and everything in-between, you will be working with the latest technologies in a fast-paced engineering environment. We have fully distributed, home-based teams in EMEA, APAC and the Americas. You will lead a team in your time zone, and report to a global director who may not be in your time zone. Location : This role will be based remotely in the APAC and EMEA region. The role entails Lead your team in daily agile devops practices Represent the IS team to stakeholders, customers, and internal teams Organize, coordinate and drive internal projects Mentor engineers to improve their skills Identify and measure team health indicators Implement structured engineering and operations processes Ensure proper team focus on priorities, milestones, and deliverables Work to meet service level agreements with customer deployments around the globe Deliver quality managed services in a consistent, timely manner What we are looking for in you Drive and a track record of going above-and-beyond expectations Proven experience of software delivery using infrastructure as code Proven experience managing devops teams for SAAS or similar offerings Understanding of testing methodologies and maintainable code quality Technical aptitude for understanding complex distributed systems Experience with cloud topologies and technologies Ability to travel twice a year, for company events up to two weeks long An exceptional academic track record from both high school and university Nice-to-have skills Experience with Ubuntu system administration Experience with agile software development methodologies Experience working in and managing distributed teams What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Program Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Senior Site Reliability / Gitops Engineer to our Information Systems (IS) team. This role is an opportunity for an “automation-first” senior technologist with a passion for Linux to build a career with Canonical and drive the success with those leveraging Ubuntu and open source products.  If you have experience of IT operations automation, Infrastructure as Code and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical. Job Summary The IS team at Canonical supports and maintains all of Canonical’s IT production services. The team is in charge of running services used by over 60 million Ubuntu users. As an Senior SRE & Gitops engineer you’ll be in a unique position to drive operations automation to the next level, both in our own private clouds as well as in the public clouds. We do this by utilizing the best of open source infrastructure as code software, software development practices such as CI/CD pipelines, and Canonical’s leading products for software operation automation. In addition to defining the infrastructure as code, you will improve Canonical products and the open-source technologies they’re based on by providing critical feedback to developers on how their products operate at scale. This is done by submitting bugs (and sometimes writing pull requests) and collaborating on design and implementations with other teams within the company. You’ll be part of a global team of SREs that work together and support each other to provide the best possible services to our company, Canonical’s customers and the Ubuntu Community. As a Senior Site Reliability / Gitops Engineer you will Drive the development of automation, Gitops in your team as an embedded tech lead Closely collaborate with the IS architect to align your solutions with the IS architecture vision Design and architect services that IS can offer to the organization as products Apply your experience of IaC to develop infrastructure as code practice within IS by constantly increasing automation and improving IaC processes Automate software operations for re-usability and consistency across private and public clouds, taking into consideration the complexities of distributed systems Maintain operational responsibility for all of Canonical’s core services, networks, and infrastructure Develop skills in troubleshooting, capacity planning, and performance investigation, Setting up, maintaining and using observability tools such as Prometheus, Grafana, and Elasticsearch; design, implement and maintain monitoring and alerting for various systems and services Provide assistance and work with globally distributed engineering, operations, and support peers Be given uninterrupted development time to focus on larger projects and automation of manual tasks Share your experience, know-how and best practices with other team members in design sessions, mentorship and ‘doing work together’ Carry final responsibility for time-critical escalations What we are looking for in you A modern view on hosting architecture, driven by infrastructure as code across both private and public clouds. A product mindset thriving to develop products rather than solutions. Python software development experience, with large projects Experience working with Kubernetes or other container orchestration systems. Proven exposure to manage and deploy cloud infrastructure with code. Practical knowledge of Linux networking, routing, and firewalls Affinity with various forms of Linux storage, from Ceph to Databases Hands-on experience administering enterprise Linux servers Extensive knowledge of cloud computing concepts and technologies Bachelor's degree or greater, preferably in computer science or related engineering field Able to communicate clearly and effectively in English over email, chat, video or voice calls and in-person Motivated and able to troubleshoot from kernel to web, and willing to ask others when appropriate A willingness to be flexible and able to learn new things quickly Be inspired by the needs of fast-changing environments Happy to work within distributed teams Be passionate and familiarized about open-source, especially Ubuntu or Debian What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience. At Toters, technology is at the heart of everything we do. We have product teams that are working hard every day to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now. About the Role We are looking for a Senior Site Reliability Engineer who will play a critical role in ensuring high availability, performance, and resilience across our production systems. You will be at the heart of operational excellence, leading high-impact incident responses, building proactive monitoring systems, and engineering automation that prevents outages before they happen. If you love solving complex distributed system challenges and thrive in high-pressure environments, this role is for you. Key Responsibilities Incident Management & Reliability Act as Incident Commander during major outages, leading real-time diagnosis, communication, and recovery. Own and improve the end-to-end incident management lifecycle , including post-incident reviews and action plans. Drive root cause analysis and proactive reliability improvements to prevent recurrence. Monitoring & Observability Design and maintain metrics, alerts, and dashboards using Prometheus , Grafana , and New Relic . Implement SLIs/SLOs to monitor service health and drive availability targets (99.99%+ uptime). Integrate log management and distributed tracing with tools like ELK Stack and AWS X-Ray . Automation & Tooling Develop automation scripts and internal tooling in Python or Node.js to reduce manual ops and accelerate recovery (MTTR improvement). Build self-healing infrastructure using IaC and automation pipelines . Optimize on-call workflows, escalation policies, and runbooks using PagerDuty . Cloud Infrastructure Operate and improve infrastructure hosted on AWS , ensuring reliability, cost efficiency, and scalability. Collaborate with backend and platform teams to embed SRE best practices across engineering. Key Qualifications 4+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering . Proven success managing production incidents and participating in on-call rotations . Strong hands-on experience with Prometheus, Grafana , and PagerDuty . Proficient in Python or Node.js for automation and tooling. Experience with AWS services (EC2, CloudWatch, ECS/Lambda, IAM, etc.). Solid understanding of Linux systems, networking, and CI/CD pipelines . Nice to Have Experience as Incident Commander in mission-critical environments. Knowledge of New Relic , Sentry , ELK Stack , or Datadog . Background implementing SLIs/SLOs/Error Budgets (Google SRE model). Familiarity with Docker, Kubernetes, Terraform, or Ansible . Certifications such as: AWS Solutions Architect Associate/DevOps Engineer ITIL Foundation or relevant reliability certifications.

Location: Athens; Limassol; Nicosia; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role:  You will join a team working with Observability, Escalations, Post-mortems, Correction of Errors, and other practices that will contribute to the company's goal of cloud resiliency. You will be responsible for driving processes around reliability, best practices, cultural change, and enforcement of these practices. The main responsibilities of the position include: Honor and practice the Resiliency pillar of the Well Architected Framework in all tasks and responsibilities Conduct Chaos Engineering experiments and relevant exercises to improve resiliency and fault-tolerance Research workloads for migrating to the cloud with minimal disruption and impact Monitor cloud migration projects to ensure seamless transitions Design, consult, re-platform, and re-factor the observability of current cloud infrastructure Coordinate with other IT departments and teams regarding observability for both individual and organizational needs Regularly assess cloud deployments for compliance with the company’s standards and best practices Investigate and correct areas where observability is lagging Stay up to date and provide training on new and current technologies, services, tools, methodologies, and practices Occasionally participate in service capacity planning, software performance analysis, and system tuning Mentor colleagues in technical skills and knowledge Analyze, oversee, and remediate the company’s resiliency Participate in on-call support 24/7 based on a rotation schedule Main requirements: BSc/MSc degree in Computer Science or related field 5+ years of cloud services experience, with at least 3 years on AWS cloud 3+ years of experience in SRE or a similar role Experience with monitoring, APM, logging, and notification tools Familiarity with incident, problem and change management procedures and practices Advanced knowledge of SRE practices and methods Understanding and practice of Service Levels Strong troubleshooting skills and the ability to mentor others Extensive experience with Kubernetes and related technologies, services, and ecosystem Advanced knowledge of CI/CD, Infrastructure as Code (IaC) concepts and tools, especially HCL Terraform and AWS CloudFormation Experience with versioning tools like Git Strong organizational and documentation skills Exceptional time management and research abilities Advanced Linux, networking, and scripting skills The following will be considered an advantage: Experience with platforms like Kafka (MSK) Experience with RDBMSs, particularly Postgres and MySQL Knowledge of scripting languages such as Python or Go Benefit from: Attractive remuneration package and perks Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Show Your Skills – Online Technical Challenge Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of globally distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Site Reliability Engineer Our goal is to perfect enterprise infrastructure DevOps practices, raising the bar on what's possible with automation by embracing a model-driven approach, whether on-premise or on public clouds. We run hundreds of private cloud, Kubernetes clusters, and applications for customers across both physical and public cloud estates. We identify and address incidents, monitor and observe applications, anticipate potential issues, and enable product refinement to ultimately achieve high-quality standards in our open source portfolio. To succeed in this role, you need to have a strong background in Linux, Python, networking, and knowledge of how clouds work. Your work will encompass the entire stack, from bare-metal networking and kernel up to Kubernetes and open source applications. You can expect to be trained in our core technologies like OpenStack, Kubernetes, security standards, open source products like Kubeflow, Kafka, OpenSearch, databases, and many others. Automation for us is a software engineering problem that we approach with a scientific mindset to bring operations at scale, driven by metrics and code. Location: Globally remote role The role We deploy and run OpenStack, Kubernetes, storage solutions, and open source applications, applying DevOps practices. To become a member of our team, you need to be a software engineer fluent in Python, you need a genuine interest in the full open source infrastructure stack from bare metal to containers, and you need the ability to work in operations with mission-critical services for global brand-name customers. As a member of the team, you will gain experience in a broad range of cloud technologies. We evolve our offerings as the state of the art improves, so you get to stay current with the latest capabilities in open source infrastructure. What we are looking for in you Degree in software engineering or computer science Python software development experience Operational experience in Linux environments Experience with Kubernetes deployment or operations Excellent interpersonal skills, curiosity, flexibility, and accountability Ability to travel internationally twice a year, for company events up to two weeks long Bonus skills Familiarity with OpenStack deployment or operations Familiarity with public cloud deployment or operations Familiarity with private cloud management What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We adjust compensation every 6 months to ensure we recognize outstanding performance, and in addition to base pay, we offer annual bonuses. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Every 6 months compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programs Opportunity to travel to new locations to meet your colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background creates a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-Remote

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring a Senior Site Reliability Engineer Next-gen operations at scale, with pure Python infra-as-code, from bare metal to containers and applications. Our goal is to perfect enterprise infrastructure devops. We run hundreds of private cloud, Kubernetes, and application clusters for customers across physical and public cloud estate, and we are raising the bar on what's possible with automation by embracing a universal operator pattern and model-driven operations. To succeed in this role you need to believe in automation as a pure software engineering problem, not a hack-it-till-it-works-for-me problem. You need to be interested in the scientific approach to operations at scale, driven by metrics and code, and you need to be able to learn the entire stack, from bare metal networking and kernel up to serverless and open source applications. Location: Globally remote role The role entails Our cloud operations engineers bring Python software-engineering skills and rigour to the operations domain. We practise devsecops from bare metal to application. We architect and run OpenStack, Kubernetes and software defined storage, and we enable devsecops for applications running on that infrastructure too. To become a member of this team, you need to be a software engineer fluent in Python, you need a genuine interest in the full open source infrastructure stack from metal to containers, and you need the ability to work in a high pressure operations environment with mission-critical services for global brand name customers. As a member of the team you will gain experience in a broad range of cloud technologies. We evolve our offerings as the state of the art improves, so you get to stay current with the latest capabilities in open source infrastructure. We drive upgrades to keep our customers on the latest, best solutions. What we are looking for in you Degree in Software Engineering or Computer Science Experience with Linux and familiarity with Linux networking and storage Python software development expertise Operational experience Excellent interpersonal skills, curiosity, flexibility, and accountability Ability to travel internationally twice a year, for company events up to two weeks long Nice-to-have skills Experience with OpenStack or Kubernetes deployment or operations Familiarity with public or private cloud management What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-Remote

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Site Reliability / Gitops Engineer to our Information Systems (IS) team. This role is an opportunity for an “automation-first” technologist with a passion for Linux to build a career with Canonical and drive the success with those leveraging Ubuntu and open source products. If you have experience of IT operations automation, Infrastructure as Code and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical. Job Summary The IS team at Canonical supports and maintains all of Canonical’s IT production services. The team is in charge of running services used by over 60 million Ubuntu users. As an SRE & Gitops engineer you’ll be in a unique position to drive operations automation to the next level, both in our own private clouds as well as in the public clouds. We do this by utilizing the best of open source infrastructure as code software, software development practices such as CI/CD pipelines, and Canonical’s leading products for software operation automation. In addition to defining the infrastructure as code, you will improve Canonical products and the open-source technologies they’re based on by providing critical feedback to developers on how their products operate at scale. This is done by submitting bugs (and sometimes writing pull requests) and collaborating on design and implementations with other teams within the company. You’ll be part of a global team of SREs that work together and support each other to provide the best possible services to our company, Canonical’s customers and the Ubuntu Community. Location : This role is available remotely in any timezone. As a Site Reliability / Gitops Engineer engineer you will Apply your experience of IaC to develop infrastructure as code practice within IS by constantly increasing automation and improving IaC processes Automate software operations for re-usability and consistency across private and public clouds, taking into consideration the complexities of distributed systems Develop new features and improve the resilience and scalability of the existing cloud and container portfolio at Canonical Maintain operational responsibility for all of Canonical’s core services, networks, and infrastructure Develop skills in troubleshooting, capacity planning, and performance investigation, Setting up, maintaining and using observability tools such as Prometheus, Grafana, and Elasticsearch; design, implement and maintain monitoring and alerting for various systems and services Collaborate with development teams to design service architecture, documentation, playbooks, policies and operational procedures Provide assistance and work with globally distributed engineering, operations, and support peers Be given uninterrupted development time to focus on larger projects and automation of manual tasks Share your experience, know-how and best practices with other team members in design sessions, mentorship and ‘doing work together’ Carry final responsibility for time-critical escalations What we are looking for in you A deep experience of, and knowledge to define operations in code, using version control, peer review and CI/CD to roll out changes both to applications and infrastructure Strong modern engineering background (peer-review, unit testing, SCM, CI/CD, Agile) Python software development experience, with large projects Practical knowledge of Linux networking, routing, and firewalls Affinity with various forms of Linux storage, from Ceph to Databases Hands-on experience administering enterprise Linux servers Extensive knowledge of cloud computing concepts and technologies Bachelor's degree or greater, preferably in computer science or related engineering field Able to communicate clearly and effectively in English over email, chat, video or voice calls and in-person Motivated and able to troubleshoot from kernel to web, and willing to ask others when appropriate A willingness to be flexible and able to learn new things quickly Be inspired by the needs of fast-changing environments Happy to work within distributed teams Be passionate and familiarized about open-source, especially Ubuntu or Debian About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a strategic Go-To-Market Recruiter specializing in Applied AI to join our GTM recruiting organization. In this role, you'll focus specifically on building and scaling our Applied AI team - the Pre-Sales architects and technical advisors who help large enterprises successfully integrate and deploy Claude. Working within our broader GTM recruiting team, you'll drive full-cycle recruiting for these critical customer-facing technical roles that bridge our cutting-edge AI technology with real-world business applications. This specialized role requires deep technical recruiting expertise combined with a strong understanding of enterprise SaaS and AI landscapes. You'll collaborate closely with GTM recruiting colleagues while developing targeted strategies for the unique talent needs of our Applied AI organization. You'll help shape how enterprises work with AI systems by building teams that directly influence the safe and beneficial deployment of Claude across industries. Key responsibilities Lead end-to-end recruiting for Applied AI team roles, including Solutions Architects, Pre-Sales Engineers, front-line managers and other customer-facing technical positions Partner with Applied AI leadership and GTM recruiting colleagues to develop comprehensive hiring strategies that align with overall GTM objectives Execute sophisticated sourcing strategies to identify candidates with rare combinations of technical depth, customer empathy, and business acumen Create exceptional candidate experiences that showcase Anthropic's mission and the unique opportunity to shape enterprise AI adoption Build pipelines of talent with expertise in LLMs, cloud architecture, enterprise software integration, and technical consulting Collaborate with GTM recruiting team members to share best practices, market insights, and cross-functional candidate leads Leverage Claude and other AI tools to enhance recruiting efficiency while maintaining high-touch, personalized engagement Provide data-driven insights on compensation trends and talent availability specific to the Applied AI market Minimum qualifications Excel at recruiting for customer-facing technical roles that require both deep technical knowledge and exceptional communication skills Understand the technical requirements of roles working with LLMs, APIs, cloud architectures, and enterprise system integration Thrive in collaborative environments, working seamlessly with GTM recruiting colleagues while managing specialized searches Can effectively assess candidates' abilities to translate complex technical concepts for diverse stakeholders Have a track record of building trusted advisor relationships with technical hiring managers Are passionate about using AI to transform recruiting practices while maintaining a human-centered approach Preferred qualifications Have 5+ years of technical or technical sales recruiting experience, ideally within GTM organizations at enterprise software or AI/ML companies Direct experience recruiting for pre-sales/solutions engineering roles in the AI/ML space Demonstrated success working within GTM recruiting organizations during periods of hypergrowth Expertise in developing specialized recruiting practices within broader team structures Familiarity with the challenges of deploying AI systems in enterprise environments Experience collaborating across recruiting teams to share resources and best practices A technical background or successful track record recruiting for highly specialized technical positions The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $175,000 — $240,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Novi Sad, South Bačka, Serbia, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Staff Software Engineer to join Cloud Signals , the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product. Cloud Signals owns: Billing and usage metering: turning product activity into accurate, auditable usage and billing data, and leading the integration of Fivetran and dbt billing into one consolidated system. Vortex, our telemetry and event pipeline: high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems. The Notification System: the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform. Usage and admin reporting: giving customers clear visibility into consumption as we move toward consumption-based pricing. These systems are on the critical path for revenue and customer trust. As a Staff engineer you’ll set technical direction across them, take on the hardest cross-team problems, and help raise the bar for engineering across the area. This is a full-time remote position. Technologies You’ll Use Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome) Relational databases (PostgreSQL) and cloud data warehouses (Snowflake) Event streaming and messaging systems (Kafka or similar) for high-throughput telemetry and usage pipelines AWS (plus exposure to GCP or Azure), Docker, and Kubernetes Terraform for infrastructure as code Datadog for observability, alerting, and on-call Third-party billing and payment platforms, plus internal and public REST APIs AI coding assistants and agents (e.g., Claude Code) as part of everyday development What You’ll Do Own the technical direction for Cloud Signals’ systems: set architecture, write and socialize design docs, and turn ambiguous business goals (consolidated billing, consumption pricing, telemetry expansion) into clear, staged technical plans. Lead the design and delivery of the Fivetran + dbt billing integration: data models, usage pipelines, reconciliation, and migration strategy, so that every customer is billed correctly and on time. Evolve Vortex into a reliable, cost-efficient, scalable event platform: onboard new event types, cut operational dependencies and cost, and make sure data lands in the warehouse correctly and observably. Grow the Notification System into a dependable shared service that other teams can adopt easily. Work closely with Product, Finance, RevOps, Data, and partner engineering teams across both companies, often filling gaps in specs and prototyping to test ideas before you commit to a direction. Raise operational excellence: define SLOs, improve alerting and runbooks, take part in on-call, and lead incident response and blameless postmortems for business-critical systems. Mentor engineers at every level, give thoughtful code and design reviews, and set an example for engineering practices, including effective, responsible use of AI tools in the SDLC. Work across teams, departments, and time zones as a technical partner to engineering leadership on roadmap, staffing, and build-vs-buy decisions. Skills We’re Looking For 8+ years building and operating production software, with a track record of technical leadership on large, cross-team projects Deep experience designing distributed systems and backend services, with a strong focus on correctness, idempotency, and data integrity Hands-on experience with event-driven architectures and streaming or messaging systems (e.g., Kafka) at high volume Strong knowledge of relational databases and data modeling, plus experience with cloud data warehouses such as Snowflake Proven ability to design, build, and consume APIs and integrate with third-party systems Production experience with at least one major cloud provider (AWS preferred), containers and orchestration (Docker, Kubernetes), and infrastructure as code (Terraform) A strong operational mindset: observability (Datadog or similar), SLOs, on-call, incident management, and leading systems through migrations without downtime The ability to spot design flaws in existing systems and lead incremental improvements while still shipping Excellent written and verbal communication: you write clear design docs, align stakeholders with different priorities, and explain technical trade-offs to non-technical partners Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals Bonus Skills Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe, or in-house rating and invoicing) Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg, lakehouse architectures) Experience building notification or messaging platforms (email, in-app, webhooks) at scale Experience with data processing (ETL/ELT), dbt, or other modern data stack tools Experience leading platform consolidation or system integration after a merger or acquisition Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of our Finance Analytics and Business Intelligence team, you'll play an instrumental role in our company's mission of building safe and beneficial AI by establishing the analytics engineering and business intelligence capabilities our Accounting organization runs on. In this unique company, technology, and moment in history, your work will be critical to ensuring accurate financial reporting, streamlining accounting processes, and supporting financial operations as we deploy safe, frontier AI at scale to the world. You'll partner closely with the Accounting organization to build the data foundation that turns financial and operational data into reliable, self-serve insight and automated processes. That means owning the data models and orchestration beneath accounting analytics, designing the dashboards and data applications stakeholders rely on day to day, and partnering across Data Engineering, Data Science, and the broader Finance organization to make sure every number is one the team can trust. Increasingly, it also means defining the future of AI-powered accounting automation; finding where AI can take on work that is manual today and reshape how the function operates. This is a foundational, hands-on role at the intersection of accounting, analytics, and business intelligence. You'll establish the durable, scalable systems the fast-growing function depends on, bringing the rigor of a culture of excellence to a function still being built from the ground up, and taking projects end to end, from an ambiguous question to a trusted, scalable system. Key responsibilities Design, build, and maintain data models and orchestration pipelines (dbt, Airflow) that power analytics, reporting, and downstream financial workflows Develop dashboards, visualizations, and data applications that give stakeholders self-serve access to their data Translate stakeholders' business questions into well-defined metrics and tools, and turn the resulting analysis into clear recommendations Build analytics that support financial reporting, the close process, reconciliations, and scenario analysis Define the future of AI-powered accounting automation in partnership with stakeholders, streamlining workflows and reducing manual effort Champion data quality, testing, and documentation across the data stack Minimum qualifications Proficiency in SQL and Python (or another object-oriented programming language) Experience with data modeling and orchestration tools (e.g., dbt and Airflow) Experience with data visualization and business intelligence tools (e.g., Looker, Tableau, Hex, Streamlit) Experience designing self-serve analytics experiences for non-technical stakeholders A track record of partnering closely with Finance or Accounting teams to drive business and financial outcomes, turning open questions and data into clear, insightful analysis Preferred qualifications Experience using AI to improve or automate analytical processes Experience building data applications Experience with cloud computing platforms (e.g., AWS, GCP) and their cost structures Experience modeling financial impact, including forecasting and scenario analysis A bias for action and urgency, not letting perfect be the enemy of effective A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress A deep curiosity and energy for pulling the thread on hard questions A passion for Anthropic's mission of building safe, beneficial AI The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team in London to own full-cycle recruiting for either our G&A functions (Finance, Legal, People, and related areas) and our Go-To-Market organization (Sales, Marketing, Partnerships, and Customer-facing roles), depending on business need and your background. This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run. We’re open to candidates whose strength is in G&A recruiting or in GTM recruiting; in your application, tell us where your experience is deepest. Key Responsibilities Own full-cycle recruiting for a portfolio of G&A or GTM roles across EMEA—from intake through offer and close Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies Source and engage high-quality active and passive candidates, building diverse and competitive pipelines Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring bar Manage candidates through the process with clear communication and a great experience at every stage Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close Use data to track pipeline health and share insight that helps hiring managers make good decisions Minimum Qualifications 4+ years of full-cycle recruiting experience in either G&A (Finance, Legal, People) or GTM (Sales, Marketing, Partnerships) hiring Track record of closing strong candidates in competitive markets Familiarity with the EMEA talent landscape and comfort recruiting across multiple countries Strong stakeholder management—you build trust and partnership with hiring managers Excellent organization and the ability to manage multiple searches at once without dropping details Clear, direct communication style and a bias toward action Comfort operating with ambiguity in a fast-moving environment Genuine interest in Anthropic’s mission and the role recruiting plays in achieving it Preferred Qualifications Experience recruiting at a high-growth technology, AI, or machine learning company Experience recruiting across both G&A and GTM functions Experience hiring across multiple EMEA markets, including the UK and Ireland Familiarity with Greenhouse or similar ATS platforms Additional European language skills relevant to hiring across the region The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £105,000 — £145,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a full-time remote opportunity. We are considering candidates based in the US and Canada only, within the Eastern or Central time zones. The Opportunity: As a Senior Full-Stack Engineer on the Grafana Catalog team, you will help grow the Grafana plugin ecosystem. Plugins are how Grafana connects to almost any data source, panel type or app, and the catalog has more than 300 of them from Grafana Labs, commercial partners and the open source community. We own the full plugin lifecycle. Developers build plugins with our tooling, publish them to the catalog, and users discover, install and update them in Grafana and Grafana Cloud. We are also building the Grafana Marketplace , which lets partners and independent developers sell their plugins to Grafana users. It is in pilot today and you will help us take it from there. What You’ll Be Doing: Some of the things we own: The Grafana Marketplace: paid plugins, publisher onboarding, and how customers buy and get access to them The plugin catalog in grafana.com and inside Grafana, where users search, compare and discover plugins Plugin installation and management in Grafana and Grafana Cloud Plugin delivery: publishing, signing, validation and the CDN that serves plugins to every Grafana Cloud instance Plugin review: every plugin published to the catalog goes through our review process before it reaches users Developer tooling and developer portal that helps develop the plugins A typical “day in the life” could include: Building new Marketplace features across the Grafana frontend, our Go services and grafana.com Improving how users find and install plugins, for both humans and agents like Grafana Assistant Making it easier and faster for developers to build, test and publish plugins Automating and improving the review process that every published plugin goes through Supporting the operations and reliability of plugin installs and delivery in Grafana Cloud Talking to plugin developers and partners and turning their feedback into roadmap items Coming up with suggestions for process improvements Working closely with the rest of the Grafana Division We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: You know how to transform ideas into working code, you are able to design a solution, get feedback and deliver large projects. You are a self-driven individual who understands the power of feedback loops in making roadmap decisions and driving our product forward. You are a motivated self starter with a bias towards action, and willing to take on any challenge You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You are an excellent communicator and you enjoy collaboration You are comfortable working in a remote-first company Requirements: Solid experience with Golang & Typescript Experience with React and building user-facing web applications Experience with Kubernetes & microservices Experience writing clean, robust, and performant software that is easily maintained by others Experience participating in an on-call rotation and performing operations/SRE tasks Bonus Points For: You have built or published a Grafana plugin You have worked on a marketplace, app store or package registry, or on billing and licensing You have built developer tooling such as CLIs, SDKs or CI pipelines used by other engineers You have strong experience working with a Product Manager or external stakeholders In US, the OTE (On-Target Earnings)/Base compensation range for this role is USD $167,143 - $200,572. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Boston, MA Workplace: OnSite Product Manager II, Business Systems At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Product Manager to guide the prioritization, internal alignment, and delivery of needle-moving business systems capabilities. This role will partner closely with Engineers, Systems Analysts, Analytics Engineers, and leaders across WHOOP. In support of the Business Systems team’s goals, you will be expected to own key business KPIs, make excellent prioritization and tradeoff decisions, and deliver new capabilities that help us scale and serve our members. WHOOP is a complex business. We make a physical product and sell it through many channels around the world. Business Systems is responsible for enabling all facets of our operations: order fulfillment, shipping, and returns; materials planning, supply chain, manufacturing, and inventory management; and membership services. You will be accountable for improving our business processes in ways that meet our members’ expectations and improve operational efficiency and simplicity, all while ensuring that our data is reliable and accurate. You’ll also be accountable for using AI to create leverage for yourself and your team. This is not a job where you’ll write PRDs like it’s 2015; you’ll be expected to build prototypes, create demo environments, and stay close to the leading edge of technology. RESPONSIBILITIES: - Drive research, development, and delivery of new capabilities and process improvements across 3rd party and custom-built software. - Bring your strong opinions and good taste to set a strategy, roadmap, and measurable goals for your area and team. Write high quality documents to support the product life cycle. - Be hands-on and use AI tools daily to create prototypes and proofs of concept. - Take ownership of key company metrics related to how good our processes are working for members, how we’re improving operational efficiency, and how reliable our services are. - Own and optimize systems that cut across all parts of our business as noted above. - Collaborate with Engineers and Analysts to break down and prioritize member and employee needs, and define detailed systems & process designs. - Collect and analyze internal and external customer needs and feedback through rigorous research and testing methodologies. - Develop and manage relationships with third-party vendors and service providers to ensure smooth operations. QUALIFICATIONS: - Proven experience (3+ years) in Product Management with a clear record of successful delivery and impact collaborating with an engineering team. - Deep analytical, prioritization, and problem-solving skills. Previous experience in analytics is strongly preferred. - Track record of good judgment around what to focus on and how to shape the deliverable. - Experience with SQL/Amplitude/Sigma for data analysis is a plus (and will be required to learn on the job). - Experience working with physical product logistics, e-commerce and/or subscription companies, ideally for a company with an international presence and in coordination with finance partners. - Experience designing and driving commerce business processes that integrate with platforms like Netsuite and Salesforce. - Demonstrated ability to synthesize requests from assertive cross-functional leaders and build consensus around a sequenced roadmap. - Strong written and oral communication skills to effectively communicate hypotheses, learnings, analysis, problems, and opportunities. - An entrepreneurial mindset with the ability to succeed in a fast-paced environment. - Curious, positive attitude, and passionate about improving the experience of our members. This role is based full-time in-office at WHOOP HQ in Boston, MA. All candidates must be prepared to be onsite full-time. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $125,000.00-$175,000.00. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.