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Location: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We are hiring a Commercial Legal Counsel to lead day-to-day commercial legal support as Tailscale continues to grow. You will partner closely with Sales, Partnerships, Finance, Security, Product, and Operations to help the company close business, manage risk, and build contracting practices that scale. This role reports to the Head of Legal. The strongest candidate may be an experienced commercial counsel ready for broader ownership, a senior counsel who has led complex transactions and programs, or a commercial legal leader who can shape the function while remaining hands-on. Key Responsibilities Own and negotiate a broad range of commercial agreements, including enterprise customer, vendor, partner, marketplace, technology, data protection, and confidentiality agreements. Advise Sales and other go-to-market teams on deal structure, contracting strategy, risk, and escalation paths. Translate legal issues into clear options and recommendations that help teams make timely decisions. Build and improve templates, playbooks, fallback positions, approval thresholds, intake processes, and self-service resources. Partner with Security, Privacy, Product, and Engineering on customer commitments involving data, security, product functionality, integrations, artificial intelligence, and emerging technologies. Work with Finance and Revenue Operations on pricing terms, revenue considerations, procurement, insurance, and other commercial matters. Support international transactions and coordinate with outside counsel when local or specialized expertise is needed. Identify patterns in negotiations and use data to improve cycle time, consistency, and the experience of customers and internal teams. Contribute to other legal priorities as the company and legal function evolve. What We Are Looking For A law degree and active membership in at least one applicable bar or equivalent authorization to practice law. Meaningful experience advising technology companies on commercial transactions, including in-house experience or equivalent experience working closely with technology clients. Experience helping a legal function, contracting program, or business process scale in a startup or high-growth environment. Strong judgment and the ability to distinguish material business risk from issues that can be addressed through practical guardrails. A record of leading negotiations with sophisticated customers, partners, vendors, or counterparties. Clear, concise communication and the ability to build trust across Legal, Sales, Finance, Security, Product, and executive teams. Comfort working independently, prioritizing competing demands, and making progress with incomplete information. A collaborative approach that creates appropriate ownership and avoids making Legal an unnecessary bottleneck. Nice to Have Commercial work involving developer tools, cloud infrastructure, networking, cybersecurity, software as a service, or open-source products. Experience with enterprise sales, product-led growth, channel or technology partnerships, marketplaces, integrations, or application programming interfaces. Familiarity with privacy, data protection, security, artificial intelligence, intellectual property, or product counseling issues that arise in technology transactions. Experience supporting global customers or coordinating advice across multiple jurisdictions. Experience selecting or implementing contract lifecycle management tools, workflow automation, or commercial legal metrics. Experience mentoring colleagues or helping define the structure and priorities of a growing commercial legal capability. As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. CAN Pay Range $250,580 — $313,560 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Germany; Portugal; France; Spain; Italy; The Netherlands Workplace: Hybrid WHY BACKEND ENGINEERING AT LANGFUSE Your work will have an outsized impact. Langfuse ingests terabytes of AI tracing data per day. When a Fortune 50 company instruments their application with Langfuse, they hit the infrastructure you built. Everything you ship is open source and immediately visible. The core of your role is making Langfuse fast and affordable at scale: owning the ingestion pipeline, optimizing ClickHouse data models and queries so dashboards load instantly, and building the backend abstractions that let product engineers ship data-heavy features without reinventing the plumbing each time. You will also make sure Langfuse runs everywhere. You’ll operate Langfuse Cloud across multiple production environments, and make self-hosting effortless. You will support a single Docker Compose setup to enterprise-grade Helm chart deployment.   You won’t be solving these problems alone. Langfuse is now part of ClickHouse, which means the people who built the database you’re optimizing are one channel away. Few backend roles give you that kind of access to the internals of your core datastore.   YOU WILL GROW AT LANGFUSE BY - Own and optimize our ingestion pipeline: Langfuse ingests massive volumes of tracing data through a pipeline that flows from our API to ClickHouse. You'll work on throughput, latency, reliability, and cost efficiency at every stage of this pipeline. - Make ClickHouse fast: our tracing data lives in ClickHouse. You'll design schemas, optimize merge strategies, tune batch inserts, write and review analytical queries that power dashboards and the UI. You'll become an expert on ClickHouse internals — and you'll have the ClickHouse database engineering team one channel away. - Build new infrastructure-heavy features: things like LLM-as-a-Judge (where we post-process large volumes of ingested data asynchronously), alerting at scale, client-code execution, or batch dataset operations. Build the foundation and, if you like, dip your toes into the frontend for those. - Test with real data in production: when evaluating a new ClickHouse schema, migration, or query optimization, you'll run load tests against production data to validate that changes actually improve things. We don't guess at performance. We prototype new table designs, run them in parallel on real traffic, and compare before committing. - Scale for what's next: we're growing fast and new product directions like complex long-running agent observability and real-time evaluation push the infrastructure in new ways. You'll be thinking ahead about what breaks at 10x scale.   LEARN MORE ABOUT OUR INFRASTRUCTURE - From Zero to Scale: Langfuse's Infrastructure Evolution https://langfuse.com/blog/2024-12-langfuse-v3-infrastructure-evolution — deep dive into how we went from Postgres to ClickHouse - Max talking infrastructure at ClickHouse OpenHouse Amsterdam https://www.youtube.com/watch?v=NXYQ5odATrM — recording of our CTO walking through the architecture - Architecture https://langfuse.com/handbook/product-engineering/architecture   WHAT WE'RE LOOKING FOR - Strong backend engineer who gets excited about database internals, query optimization, and distributed systems - You get excited when working with a ton of data - Experience with analytical databases, data pipelines, or high-throughput event processing. ClickHouse experience is a big plus but not required - You organize yourself. You have strong opinions about what to build and how to ship it - Comfortable reading and writing TypeScript (our backend) and SQL - Interest in open source software and genuine enjoyment talking to users about their scaling challenges - Thrives in a small, accountable team where your output is visible and matters - CS or quantitative degree preferred   Bonus points:   - Experience with ClickHouse, other OLAP databases, or observability infrastructure - Former founder - Background in building data-intensive systems at scale   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As Commercial Counsel, you'll close Vercel's customer, vendor, and partner agreements as the company's deal volume climbs with its growth. You'll serve as the primary legal contact for go-to-market and procurement deals, independently negotiating commercial agreements while using AI to build playbooks, templates, and processes that boost the team's efficiency and deal velocity as Vercel scales. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday. What you'll do Independently manage and negotiate commercial agreements, including customer, vendor, partnership, and reseller deals Serve as the primary legal contact for go-to-market and procurement teams, giving clear, practical advice Draft and maintain agreement templates, playbooks, and fallback positions Partner with cross-functional teams to improve contracting processes and tools, using AI to speed up deals and keep them consistent as Vercel scales Advise on Vercel's regional expansion strategy, and support commercial legal work in EMEA and APAC plus product, privacy, and security initiatives What you need Qualified and in good standing to practice law in California or another US jurisdiction 6+ years of legal experience, including 2+ years of in-house commercial experience at a technology company (SaaS, PaaS, IaaS, or AI) Proven experience independently negotiating technology agreements with enterprise customers and vendors Working knowledge of US privacy regulations and the regulatory landscape for AI and cloud services, plus experience using AI tools to build legal workflows Comfortable making risk-based calls on deals with incomplete information, and explaining the reasoning to both legal and business stakeholders Bonus if you have: Have used Vercel's products and services Have supported channel or reseller partnerships Are fluent in another language Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $207,000 - $253,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Belgrade; London; Remote; Berlin Perplexity is looking for a highly skilled Expert Systems Engineer to join our Search Core team. For the indexing and data processing stream. This role is critical to building next-generation search products and technologies. Responsibilities - Design and build core search engine components, especially indexing pipelines, data storage formats that operate at the scale of billions of pages - Develop streaming and batch data processing with YT systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Knowledge of Data processing systems (YT/Kafka/Hadoop) - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Nice to have - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure

Location: Belgrade; London; Remote; Berlin Perplexity is looking for a highly skilled Expert Systems Engineer to join our Search Core team. For the indexing and data processing stream. This role is critical to building next-generation search products and technologies. Responsibilities - Design and build core search engine components, especially indexing pipelines, data storage formats that operate at the scale of billions of pages - Develop streaming and batch data processing with YT systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Knowledge of Data processing systems (YT/Kafka/Hadoop) - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Nice to have - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure

Location: Singapore 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 give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment. As a Field Delivery Engineer, you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications. Your responsibilities will include: Planning & Coordination Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders. Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers. Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met. On-Site Delivery & Installation Supervise racking, cabling, and powering of hardware equipment. Ensure configuration, firmware upgrades, and integration with management systems follow standards. Work closely with vendors, contractors, and local staff during the installation phase. Quality & Readiness Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly. Document installation steps, asset data, and lessons learned for future rollouts. Establish and maintain best practices for safe, efficient hardware deployment. Collaboration & Reporting Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership. Support transition of deployed hardware to operations teams for steady-state management. Contribute feedback to improve hardware design and deployment playbooks. We expect you to have: 3+ years' experience in data center, hardware, or IT field delivery roles. Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling). Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting. Proven track record coordinating deployments across multiple stakeholders and vendors. Ability to read and interpret technical documentation, layouts, and wiring diagrams. Ability to perform deep diagnostics across hardware, firmware (BIOS/ BMC ), and Linux (logs, drivers, storage stack basics, performance triage). Excellent organizational, communication, and problem-solving skills. Willingness to travel frequently (sometimes at short notice). It will be an added bonus if you have: Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation). Experience with Redfish and BMC tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts. Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis. Exposure to OCP -based platforms and ODM manufacturing ecosystems. Familiarity with change management, asset tracking, and quality-assurance processes. Understanding of health, safety, and environmental standards in datacenter or industrial settings. 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: Hyderabad, India 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 give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment. As a Field Delivery Engineer, you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications. Your responsibilities will include: Planning & Coordination Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders. Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers. Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met. On-Site Delivery & Installation Supervise racking, cabling, and powering of hardware equipment. Ensure configuration, firmware upgrades, and integration with management systems follow standards. Work closely with vendors, contractors, and local staff during the installation phase. Quality & Readiness Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly. Document installation steps, asset data, and lessons learned for future rollouts. Establish and maintain best practices for safe, efficient hardware deployment. Collaboration & Reporting Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership. Support transition of deployed hardware to operations teams for steady-state management. Contribute feedback to improve hardware design and deployment playbooks. We expect you to have: 3+ years' experience in data center, hardware, or IT field delivery roles. Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling). Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting. Proven track record coordinating deployments across multiple stakeholders and vendors. Ability to read and interpret technical documentation, layouts, and wiring diagrams. Ability to perform deep diagnostics across hardware, firmware (BIOS/ BMC ), and Linux (logs, drivers, storage stack basics, performance triage). Excellent organizational, communication, and problem-solving skills. Willingness to travel frequently (sometimes at short notice). It will be an added bonus if you have: Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation). Experience with Redfish and BMC tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts. Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis. Exposure to OCP -based platforms and ODM manufacturing ecosystems. Familiarity with change management, asset tracking, and quality-assurance processes. Understanding of health, safety, and environmental standards in datacenter or industrial settings. 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.

Задачи: — Администрирование, конфигурация, оптимизация и поддержка платформы Databricks. — Управление рабочими пространствами Databricks в средах разработки, тестирования и продакшена. — Конфигурация и управление кластерами, пулами, заданиями и рабочими процессами для поддержки ETL, потоковых и ML задач. — Мониторинг состояния платформы, емкости и производительности, проактивное выявление и устранение проблем. — Управление версиями Databricks runtime, библиотеками и интеграциями с облачным хранилищем и сервисами данных. — Реализация и поддержка процедур резервного копирования, восстановления и обеспечения непрерывности бизнеса. — Настройка и поддержка управления идентификацией и доступом (IAM) в Databricks. — Внедрение и соблюдение лучших практик безопасности, включая шифрование, сетевой контроль и политики доступа к данным. — Сотрудничество с командами безопасности и соответствия для соблюдения организационных и нормативных требований. — Поддержка стандартов управления данными (например, Unity Catalog). — Оптимизация конфигураций кластеров, автоскейлинга и планирования заданий для баланса производительности и затрат. — Анализ метрик использования и затрат, внедрение стратегий контроля затрат. — Рекомендации и реализация стратегий настройки и оптимизации платформы для больших данных. — Взаимодействие с инженерами данных, аналитиками и дата-сайентистами для понимания требований и рекомендаций по использованию Databricks. — Предоставление поддержки уровня Tier 2/3 по инцидентам и запросам, связанным с Databricks. — Разработка и поддержка документации, инструкций и стандартных операционных процедур. — Проведение обучения пользователей и обмен знаниями по возможностям и лучшим практикам Databricks. — Автоматизация развертывания рабочих пространств и кластеров, конфигураций и политик с использованием Infrastructure as Code (Terraform, ARM/Bicep, CloudFormation). — Интеграция Databricks с CI/CD пайплайнами для развертывания кода и управления средами. — Поддержка лучших практик контроля версий для ноутбуков, заданий и конфигураций. Требования: — Высшее образование в области компьютерных наук, информационных систем, инженерии или смежных областях либо дополнительный опыт работы 4 года при отсутствии диплома. — Опыт работы не менее 8 лет в администрировании облачных платформ данных или сред больших данных. — Практический опыт администрирования Databricks (Azure, AWS или GCP Databricks). — Глубокое понимание рабочих пространств, кластеров, заданий, пулов и ноутбуков Databricks. — Знание облачных хранилищ (Azure Data Lake Storage, S3, GCS) и сетевых концепций. — Опыт управления идентификацией и доступом в соответствующем облачном провайдере (Azure AD, IAM и др.). — Навыки скриптинга и автоматизации (Python, PowerShell, Bash). — Знакомство с концепциями Spark (кластеры, исполнители, задания, партиции) и вопросами производительности. — Опыт мониторинга и устранения проблем с производительностью и надежностью платформы. — Сильные аналитические и проблемно-ориентированные навыки. — Умение объяснять сложные технические концепции технической и нетехнической аудитории. — Ориентация на клиента и качество сервиса. — Способность работать самостоятельно и в команде в динамичной agile-среде. Желательные квалификации: — Сертификация Databricks (например, Databricks Certified Data Engineer Associate/Professional, Lakehouse Fundamentals, Administrator). — Опыт работы с Unity Catalog и тонкой настройкой доступа к данным. — Опыт работы с CI/CD инструментами (Azure DevOps, GitHub Actions, Jenkins). — Опыт работы с Infrastructure as Code (предпочтительно Terraform). — Опыт работы с инструментами агрегации логов и мониторинга (Azure Monitor, CloudWatch, Datadog, Splunk). — Знание Delta Lake, структурированного стриминга и архитектур Lakehouse. — Опыт работы в корпоративных средах с высокими требованиями к безопасности и соответствию. Условия: — Удаленная работа из любой точки. — Полная занятость, 40 часов в неделю. — Требуется получение и поддержание уровня безопасности Public Trust с обязательной процедурой снятия отпечатков пальцев. — Требования к резидентству в США: проживание в США или территориях последние 5 лет с ограничениями на время отсутствия. — Конкурентная зарплата в диапазоне $10,669 – $14,435 в месяц ($128,039 - $173,229 в год), зависит от опыта и местоположения. — Пакет социальных льгот, включая медицинское страхование, 401(k) с компанией-матчем, оплачиваемый отпуск и другие выплаты. — Гибкий график работы и поддержка баланса работы и личной жизни. — Процесс верификации личности с использованием биометрии и ИИ для предотвращения мошенничества.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Role Location: Bengaluru (Hybrid mode) Exp: 3-15yrs We are looking for a Software Engineer to design, build, and scale internal platforms and software tools that power our infrastructure operations. You will treat operational challenges as software problems, developing clean services and developer platforms that make managing our global infrastructure reliable, fast, and effortless. Responsibilities Build Infrastructure Software: Architect, write, and maintain scalable services, APIs, and tools that automate infrastructure provisioning, configuration, and runtime operations. Streamline Developer Workflows: Develop platform software and self-service tools that reduce operational toil, enabling engineering teams to deploy and manage resources safely and efficiently. Drive Engineering Best Practices: Apply standard software engineering practices—including modular design, code reviews, automated testing, and CI/CD—to infrastructure codebases and tooling. Ensure System Reliability: Write observability frameworks, automated testing pipelines, and self-healing tools to maintain high availability and proactively catch operational failures. Collaborate Cross-Functionally: Partner closely with Security, Systems, and Product Engineering teams to integrate infrastructure software seamlessly across the application lifecycle. Desirable Skills, Knowledge, and Experience Demonstrable experience as a Software Engineer building production software, with an emphasis on backend systems, APIs, or developer platform tools. Strong proficiency in modern programming languages (e.g., Go, Python, Java, or Rust) with a track record of writing clean, testable, and maintainable code. Solid understanding of software design patterns, API architecture (REST, gRPC), and data structures applied to operational tooling. Hands-on experience with Infrastructure as Code frameworks (e.g., Terraform, Ansible) and programmatically interacting with infrastructure APIs. Strong analytical, debugging, and system troubleshooting skills to diagnose issues across both application logic and underlying infrastructure. Bonus Points Experience writing software that interacts with cloud providers (AWS, GCP, or Azure) or container orchestration platforms (Kubernetes, Docker). Familiarity with building robust CI/CD systems, automated integration testing, or continuous deployment tooling. Active contributions to open-source developer tools, CLI applications, or infrastructure platforms. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role Studio has been developed to help enterprises build, evaluate, and operate AI systems reliably, safely, and at scale, turning prototypes into production-ready solutions. It provides the infrastructure enterprises need to scale their use cases, including comprehensive monitoring, reliable automation, and centralized tracking of AI assets. We are seeking a strong product leader to own the strategy and shape the future of Studio redefining the AI builder experience in enterprises. You will determine how enterprises observe AI behavior, run complex workflows, version and track assets, and deploy safely across hybrid and self-hosted environments. What You Will do - Strategy & Vision - Define and evangelize the product vision, strategy and annual goals for Studio. You will be accountable for its business impact. - Team leadership - Build the Studio PM organization: hire PMs and stream leads, set the operating cadence (quarterly product reviews, roadmap reviews…), and develop PMs through clear growth paths. - Delivery & Execution - Partner with engineering leadership on the roadmap to scope, sequence, and deliver value by balancing quick wins for our customers while advancing the long-term platform bets. - Drive strategic customer discovery with the PMs under your responsibility. - Go-to-market - Collaborate with Marketing and Go-to-market teams on positioning, pricing and packaging, launch plans, and adoption strategies. - Partner cross-functionally and with other product leaders to ensure we have a unified customer journey. What We're Looking For - 10+ years in product management, with deep experience building technical platform, infrastructure or developer products for enterprise customers and AI/ML fluency - Proven people leadership: you've hired and grown senior PMs, organized teams around clear stream ownership, and built durable operating cadences - Experience launching and scaling products - Proven ability to align and inspire cross-functional teams without direct authority. - Ownership and pragmatism: low ego, high EQ, bias for action; equally comfortable crafting a strategy narrative and diving into metrics, UX details, or a customer escalation - Strong communication skills for executives, teams, and users. - Ability to thrive in dynamic environments where priorities shift. - Self-directed, taking initiative to navigate unknowns and own outcomes. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: United Kingdom; Ireland; Cyprus; Portugal; Poland Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken's Market Surveillance function is responsible for detecting, investigating and reporting market abuse across our regulated trading venues, spanning spot crypto markets, crypto futures, tokenised equities, OTC markets, and consumer trading. As our licensing footprint and product range grow, so does the scale and complexity of the surveillance programme behind them. We're hiring a Principal Compliance Associate to take on the function's most complex casework, and help shape how we detect and cover market abuse as the business scales.   THE OPPORTUNITY - Own complex investigations end to end, writing findings up to a standard a regulator can rely on, and present conclusions to a range of stakeholders. - Lead or contribute to periodic threshold and model reviews, recalibrating surveillance rules and alert thresholds as trading behaviour, products and market structure evolve. - Support the design, build-out and integration of surveillance platform capability, including onboarding new products, venues and data sources onto the surveillance system. - Contribute to market abuse risk assessments, helping identify and score risk across products, jurisdictions and entities, and translate findings into surveillance coverage. - Use AI and automation tools responsibly to speed up evidence-gathering, case reconstruction and detection-model development, always with human judgement over the final call. - Support conflicts of interest, information barrier, and personal account dealing matters across Markets Compliance, extending beyond surveillance casework where buy-side or asset management experience is directly relevant.     WHAT YOU BRING - Experience investigating market abuse or trading conduct inside a firm subject to market conduct regulation, such as an exchange, broker-dealer, trading venue, or comparable regulated trading business. - A track record running investigations end to end, including writing findings up to a standard a regulator can rely on and presenting conclusions to stakeholders. - Working knowledge of core market abuse typologies e.g. spoofing, wash trading, insider trading, front running, ramping. - Experience with, or strong working knowledge of, threshold and model calibration, surveillance platform integration, market abuse risk assessments, and audit remediation. - Comfort using generative AI and other automation tools to improve the speed and quality of investigative work, while maintaining the human oversight regulated casework requires. - Familiarity with a surveillance platform (such as Scila, Nasdaq SMARTS, Eventus, or NICE Actimize) and comfort with SQL or a similar query tool for evidence-gathering. - Clear, evidence-first written communication - your case files, escalations and regulatory drafts will sometimes be read by auditors and regulators without you in the room to explain them. - Exposure to crypto-asset markets is welcomed but not required. What matters most is regulated-market investigation experience; strong candidates from traditional securities or derivatives markets are encouraged to apply.     NICE TO HAVES - E-comms surveillance experience.     Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Paris, Remote Workplace: remote 360Learning is entering its next phase of growth. Today, more than 2,500 organizations worldwide use 360Learning to turn internal expertise into business performance. As AI fundamentally reshapes how companies build skills, share knowledge and develop their people, we are evolving our platform, bringing together Collaborative Learning, AI and enterprise-grade learning infrastructure to redefine what modern L&D can deliver. We are now looking for a Global VP Marketing to help shape and accelerate this next chapter. Reporting directly to Benjamin Marchal, our CEO, you will own our global Marketing strategy and organization. Your mandate will go beyond generating demand: you will sharpen our positioning in a rapidly changing market, strengthen our brand and category leadership, and build a high-performing Marketing engine that translates market opportunity into sustainable revenue growth. You will partner closely with Sales, Product and Customer teams to strengthen our go-to-market strategy across our key markets, with a particular focus on accelerating growth in North America. You will bring together Product Marketing, Brand & Content and Demand Generation around clear priorities and shared business outcomes,  from market awareness and positioning to pipeline creation, conversion and revenue impact. We are looking for an outstanding B2B SaaS marketing leader who combines strategic depth with strong execution and has already led significant Marketing scope in a high-growth environment. This is an opportunity for a proven VP/SVP-level leader ready to step into full global ownership, work directly with the CEO and progressively grow into a broader CMO-level mandate as the company and the role evolve. The role can be based in the USA, Canada, UK or France. Within 1 month you will: Understand our culture, marketing strategy, positioning, organization, processes and performance management Build a diagnostic and identify opportunities for improvement Within 3 months you will: Build a 18 months roadmap for the marketing team Validate our messaging framework and content strategy Take ownership of analyst relationships Start to build a relationship with our top clients Within 12 months you will: Lead strategic projects for the company Own the repositioning decision - Lead the project Transform our demand generation team from a demand capture to a demand creation machine Support revenue in scaling outbound to 50% of our pipe creation The Skill Set: 10+ years of experience in B2B SaaS marketing. Experience in HR Tech, Future of Work, collaboration, productivity or knowledge/AI platforms would be a plus, but not required Master of at least 3 of the following functions: product marketing, demand generation, content marketing, brand Outstanding communication skills. We are expecting our VP Marketing to be vocal in the market Servant leadership style to lead a team of 20+ Experience in rebranding / renaming is a plus Fluent English (US/UK) Enthusiasm for our working environment explained here: https://bit.ly/Convexity_360L What We Offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone screen with our Talent Acquisition Director Discovery meeting with our Chief Executive Officer, Benjamin Case Study Meeting with our CEO and Chief Sales Officer Culture Fit Meeting with our Chief People Officer, Sidonie Meetings with the marketing team leads Ref Checks Offer Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Canada, Remote Workplace: remote 360Learning is entering its next phase of growth. Today, more than 2,500 organizations worldwide use 360Learning to turn internal expertise into business performance. As AI fundamentally reshapes how companies build skills, share knowledge and develop their people, we are evolving our platform, bringing together Collaborative Learning, AI and enterprise-grade learning infrastructure to redefine what modern L&D can deliver. We are now looking for a Global VP Marketing to help shape and accelerate this next chapter. Reporting directly to Benjamin Marchal, our CEO, you will own our global Marketing strategy and organization. Your mandate will go beyond generating demand: you will sharpen our positioning in a rapidly changing market, strengthen our brand and category leadership, and build a high-performing Marketing engine that translates market opportunity into sustainable revenue growth. You will partner closely with Sales, Product and Customer teams to strengthen our go-to-market strategy across our key markets, with a particular focus on accelerating growth in North America. You will bring together Product Marketing, Brand & Content and Demand Generation around clear priorities and shared business outcomes,  from market awareness and positioning to pipeline creation, conversion and revenue impact. We are looking for an outstanding B2B SaaS marketing leader who combines strategic depth with strong execution and has already led significant Marketing scope in a high-growth environment. This is an opportunity for a proven VP/SVP-level leader ready to step into full global ownership, work directly with the CEO and progressively grow into a broader CMO-level mandate as the company and the role evolve. The role can be based in the USA, Canada, UK or France. Within 1 month you will: Understand our culture, marketing strategy, positioning, organization, processes and performance management Build a diagnostic and identify opportunities for improvement Within 3 months you will: Build a 18 months roadmap for the marketing team Validate our messaging framework and content strategy Take ownership of analyst relationships Start to build a relationship with our top clients Within 12 months you will: Lead strategic projects for the company Own the repositioning decision - Lead the project Transform our demand generation team from a demand capture to a demand creation machine Support revenue in scaling outbound to 50% of our pipe creation The Skill Set: 10+ years of experience in B2B SaaS marketing. Experience in HR Tech, Future of Work, collaboration, productivity or knowledge/AI platforms would be a plus, but not required Master of at least 3 of the following functions: product marketing, demand generation, content marketing, brand Outstanding communication skills. We are expecting our VP Marketing to be vocal in the market Servant leadership style to lead a team of 20+ Experience in rebranding / renaming is a plus Fluent English (US/UK) Enthusiasm for our working environment explained here: https://bit.ly/Convexity_360L What We Offer: Compensation: Pay structure includes base salary, variable incentive pay, and company equity 📈 Benefits/Perks : Comprehensive health insurance starting your first day of employment 🏥 RRSP contribution matching 🏦 Generous parental leave 👶 Professional development opportunities through our own platform 📚 Balance: We offer unlimited days of annual PTO 🌴 5 days for sick leave 🤒 Holiday time in accordance with the Ontario Holiday Calendar 🗓 We are a remote-first organization and promote flexible work hours 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture : A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone screen with our Talent Acquisition Director Discovery meeting with our Chief Executive Officer, Benjamin Case Study Meeting with our CEO and Chief Sales Officer Culture Fit Meeting with our Chief People Officer, Sidonie Meetings with the marketing team leads Ref Checks Offer Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: USA, Remote Workplace: remote 360Learning is entering its next phase of growth. Today, more than 2,500 organizations worldwide use 360Learning to turn internal expertise into business performance. As AI fundamentally reshapes how companies build skills, share knowledge and develop their people, we are evolving our platform, bringing together Collaborative Learning, AI and enterprise-grade learning infrastructure to redefine what modern L&D can deliver. We are now looking for a Global VP Marketing to help shape and accelerate this next chapter. Reporting directly to Benjamin Marchal, our CEO, you will own our global Marketing strategy and organization. Your mandate will go beyond generating demand: you will sharpen our positioning in a rapidly changing market, strengthen our brand and category leadership, and build a high-performing Marketing engine that translates market opportunity into sustainable revenue growth. You will partner closely with Sales, Product and Customer teams to strengthen our go-to-market strategy across our key markets, with a particular focus on accelerating growth in North America. You will bring together Product Marketing, Brand & Content and Demand Generation around clear priorities and shared business outcomes,  from market awareness and positioning to pipeline creation, conversion and revenue impact. We are looking for an outstanding B2B SaaS marketing leader who combines strategic depth with strong execution and has already led significant Marketing scope in a high-growth environment. This is an opportunity for a proven VP/SVP-level leader ready to step into full global ownership, work directly with the CEO and progressively grow into a broader CMO-level mandate as the company and the role evolve. The role can be based in the USA, Canada, UK or France. Within 1 month you will: Understand our culture, marketing strategy, positioning, organization, processes and performance management Build a diagnostic and identify opportunities for improvement Within 3 months you will: Build a 18 months roadmap for the marketing team Validate our messaging framework and content strategy Take ownership of analyst relationships Start to build a relationship with our top clients Within 12 months you will: Lead strategic projects for the company Own the repositioning decision - Lead the project Transform our demand generation team from a demand capture to a demand creation machine Support revenue in scaling outbound to 50% of our pipe creation The Skill Set: 10+ years of experience in B2B SaaS marketing. Experience in HR Tech, Future of Work, collaboration, productivity or knowledge/AI platforms would be a plus, but not required Master of at least 3 of the following functions: product marketing, demand generation, content marketing, brand Outstanding communication skills. We are expecting our VP Marketing to be vocal in the market Servant leadership style to lead a team of 20+ Experience in rebranding / renaming is a plus Fluent English (US/UK) Enthusiasm for our working environment explained here: https://bit.ly/Convexity_360L What We Offer: Compensation: Pay structure includes base salary, variable incentive pay, and company equity 📈 Benefits/Perks : Comprehensive medical, vision, and dental insurance starting your first full month 🏥 401k matching starting from day 1 🏦 Generous parental leave 👶 Professional development opportunities through our own platform 📚 Balance: We offer unlimited days of annual PTO 🌴 5 days for sick leave 🤒 10 holidays 🗓 We are a remote-first organization and promote flexible work hours 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone screen with our Talent Acquisition Director Discovery meeting with our Chief Executive Officer, Benjamin Case Study Meeting with our CEO and Chief Sales Officer Culture Fit Meeting with our Chief People Officer, Sidonie Meetings with the marketing team leads Ref Checks Offer Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is our programmatic in-app advertising platform that seamlessly connects advertisers and publishers through direct integration of our Android and iOS SDKs. Every ad decision happens in under 200ms across 10 million daily users, powered by real-time bidding algorithms and user quality prediction models that match the right ad to the right user at the right moment. Where 50 Billion Daily Predictions Begin The User Experience team is the origin point of adjoe Ads. Everything the system knows about a user, every prediction the ML models make, every bid placed in an auction. It all starts with code this team ships. The team owns two responsibilities. On the SDK side, a native Kotlin and Swift code runs inside hundreds of publisher apps. It participates in 120 million daily auctions, renders ad creatives across multiple formats, and captures the behavioral signals that power 50 billion predictions per day. The constraint that defines this work: you're executing inside someone else's app, on someone else's device, with zero tolerance for instability. Every ad impression has to feel native and fast to the user. On the analytics side, the dashboards, investigation tools, and data frameworks that turn raw data into decisions: real-time revenue performance across active campaigns, infrastructure cost visibility, and data quality assessments. If a number matters to the business or to engineering, this team makes it accessible. Your Mission & Who We Are Looking For: - Kotlin & Android Internals Expertise: You will own the core development and optimization of the adjoe Ads SDK, which runs inside hundreds of publisher apps. We are looking for someone with 8+ years of Android experience (or 3+ years specifically in SDK/library development) who works primarily with Kotlin and has a deep understanding of Android lifecycles, ProGuard/R8, and multithreading to ensure zero tolerance for instability on millions of devices. - High-Performance Network Design: You will collaborate with backend teams to design APIs and capture behavioral signals that power 50 billion daily ML predictions. You need a strong track record in API design, maintaining strict backward compatibility for thousands of external integrators, and working with high-performance networking protocols like gRPC, Protobuf, Wire, and OkHTTP. - Resource-Constrained Optimization: You will ensure every ad impression feels native and fast while participating in 120 million daily auctions. You must know how to design for minimal footprint, optimizing battery impact and memory usage, as your code executes directly inside someone else’s app and device. - Data-Driven Observability: You will monitor, debug, and maintain SDK reliability at scale across millions of global users. You will leverage observability and data tools—including Sentry, Kibana, and AWS (S3, QuickSight, Athena)—to track errors, investigate SDK behavior, and turn raw data into clear engineering decisions. - Build Automation & Delivery: You will maintain and improve our CI/CD pipelines to guarantee efficient, reliable SDK delivery. This requires hands-on experience with Gradle and GitLab CI to automate the testing, building, and packaging of our mobile libraries. - Plus – AdTech & Low-Level Systems: It is a major plus if you bring experience in ad-tech or programmatic advertising (aligning products with IAB specifications). Additionally, experience with NDK/JNI (C/C++ interop on Android) or parallel iOS development experience is highly valued to help support our cross-platform ecosystem. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: United Kingdom (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 remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 103,958 - GBP 124,750 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *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: Germany (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 remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Germany, the Base compensation range for this role is EUR 100,000 - EUR 125,000 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *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: Republic of Ireland (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 remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the Republic of Ireland, the Base compensation range for this role is EUR 107,000 - EUR 134,000 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *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 .