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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. Available Locations SF / SV Bay Area, US About the Role We are seeking an experienced and strategic Senior Majors Account Executive to join our Enterprise/Field Sales team. In this pivotal role, you will lead Cloudflare’s strategic engagement with Apple, securing and expanding platform partnerships across this key account. The ideal candidate brings strong sales leadership, a deep understanding of enterprise architecture (business, data, applications, technology), and the ability to articulate how Cloudflare integrates into modern cloud operating models. As a Senior Majors Account Executive, you will drive predictable sales performance, foster healthy pipeline growth, and deliver on revenue objectives. You will act as a trusted advisor, educating customers and partners on Cloudflare’s evolving product ecosystem and security capabilities. This role involves leveraging executive sponsorship programs, partnering with senior leaders (including CIOs, CISOs, and CTOs), and collaborating with cross-functional teams to navigate and successfully close complex customer opportunities. Responsibilities Strategic Revenue Leadership: Develop and execute account plans to meet and exceed revenue goals by structuring enterprise-grade platform partnerships within key accounts. Predictable Pipeline & Forecasting: Maintain accurate sales forecasting and proactive pipeline management, sharing insights to support broader sales strategy. Enterprise Architecture Alignment: Demonstrate a strong understanding of customer Enterprise Architecture across business, data, applications, and technology pillars, connecting Cloudflare solutions directly to customer business outcomes. Executive & C-Suite Engagement: Manage complex customer engagements across multiple business units, building strong relationships with executive sponsors and C-level stakeholders. Cross-Functional Collaboration: Partner effectively with cross-functional teams—including Product Managers and executive leadership—to advance strategic deals and resolve operational friction. Digital Transformation Guidance: Serve as a key advisor on digital transformation, helping customers navigate market shifts and position Cloudflare as a core strategic partner. Clear Communication & Feedback: Connect insights across global departments to deliver clear messaging, provide constructive feedback, and support continuous team growth. Long-Term Strategic Vision: Make balanced decisions aligned with long-term organizational value, building trust through open communication and knowledge sharing. Goal Setting & Operational Efficiency: Partner with teams to set clear metrics, address operational roadblocks, and improve cross-departmental workflows. Collaborative Problem Solving: Proactively identify customer and internal needs, fostering positive change and contributing to continuous team improvement. Inclusive Leadership: Champion diverse perspectives to solve complex business challenges and support a supportive, forward-thinking team environment. Desirable Skills, Knowledge, and Experience You have recent experience in the past three years selling into Apple. Demonstrated track record of success in B2B enterprise sales, closing multi-year, complex technology agreements demonstrating a track record of consistently exceeding quota and closing transformative platform deals. Deep understanding of enterprise cloud platforms, network security, and modern IT architecture. Proven capability to align solutions with customer Enterprise Architecture (Business, Data, Applications, Technology) and enterprise business models mapping Cloudflare solutions to complex business models and modern cloud operating environments. Experience engaging with executive stakeholders and managing executive sponsorship initiatives. Strong collaborative skills with experience working alongside cross-functional leadership teams. Familiarity with digital transformation trends and the ability to translate market insights into customer solutions. Strong presentation, negotiation, and written communication skills across technical and business audiences. Thoughtful decision-making approach focused on sustainable, long-term business success. Experience setting clear performance indicators and facilitating cross-team alignment. Proficiency with enterprise sales tools and methodologies (e.g., Salesforce, Tableau, MEDDPICC, or similar frameworks). Relevant professional experience in technology sales or enterprise consulting; advanced degrees or continuous technical learning are welcomed. Willingness to travel as needed to foster strong customer and internal team relationships. Compensation Compensation may be adjusted depending on work location. Estimated annual salary of $360,000- $400,000 (base/variable) This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave 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: 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 We are looking for a Systems Engineer to help build and manage tools that help engineers deploy and operate the services that make Cloudflare work. Our mission is to provide a reliable and flexible platform to help product teams release new software efficiently and safely. The role includes both software engineering and operational responsibilities. Available Locations: Austin, TX; Lisbon, PT; London, UK. Responsibilities Design and build scalable and resilient systems that can keep up with company growth. Design and build developer productivity tooling. Harden the platform against security threats and resource contention issues. Improve our development systems and practices. Improve the efficiency of managing resources such as CPU, bandwidth and storage. Work with application teams to understand their potential challenges and help them choose the best way to architect their systems. Drive initiatives that make our engineers happier and more productive. Help respond and prevent incidents impacting core platforms. Desirable Skills, Knowledge, and Experience Demonstrable professional experience building and managing large-scale distributed systems or Linux production environments. Proficiency in at least one systems programming or scripting language (e.g., Go, Rust, C/C++, Python) with a track record of writing clean, maintainable code. Experience managing containerized workloads at scale using Kubernetes, Docker, or similar orchestration platforms. Experience with CI/CD pipelines and automated testing strategies for infrastructure. Source control experience including branching, merging and rebasing. Strong analytical and troubleshooting skills, with a methodical approach to diagnosing complex system-level failures. Bonus Points Experience with configuration management and infrastructure-as-code tools (e.g., Ansible, Terraform, SaltStack). Deep understanding of Linux/Unix operating system internals (e.g., storage subsystems, memory management) and core networking protocols (TCP/IP, DNS). Contributions to open-source systems software projects or active participation in the broader systems engineering community. Compensation Compensation may be adjusted depending on work location. For Portugal based hires: Estimated annual salary of €66,000-91,000. 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: Remote - US About the Job: LaunchDarkly is seeking a Sr. Director, Enablement to join our Revenue team. This position will report to the VP, Revenue Operations and Enablement. The Revenue Operations and Enablement team is responsible for sales strategy, technology, and enablement. The Sr. Director, Enablement will build a repeatable enablement framework to systematically support all segments of LaunchDarkly’s Revenue Organization. This role will ensure that all customer-facing personnel have the knowledge, content, skills, processes, and behaviors needed to optimize every interaction with buyers. The role will also oversee the planning and execution of Revenue Organization events, including SKOs. The ideal candidate is a strategic thinker with leadership experience in a revenue-focused organization where enablement is integrated into every interaction. They bring deep experience developing enablement programs, supporting ongoing employee development, and implementing the processes and tools required to build a world-class enablement function. Responsibilities: Own the multi-year revenue enablement strategy and roadmap, aligned to GTM priorities, with quarterly outcomes tied to ramp time, win rate, and quota attainment. Lead and grow a global team of enablement leaders and specialists, setting clear priorities, coaching for excellence, and operating as a player-coach where needed. Architect role-based onboarding and continuous readiness for all revenue roles (Sales, Sales Managers, SEs, CS, BDR/SDR, PAMs), covering product, process, messaging, and selling skills, including pitch certification, with ramp metrics tracked from day one. Equip teams to win with technical buyers by developing playbooks, talk tracks, objection handling, and competitive messaging for developer, platform engineering, DevOps, and engineering leadership personas, and by owning the sales playbook for Land & Expand motions, including New Logo and Expansion plays. Own the enablement track for the annual GTM kickoff and quarterly business reviews, with full oversight of content and readiness. Modernize the enablement tech stack (LMS, CMS, sales engagement, conversation intelligence) and embed AI into seller workflows to accelerate productivity, coaching, and deal execution, while maintaining a company-wide content map that serves as a single source of truth for the field. Partner with the CRO, VP Sales, VP CS, Product, Product Marketing, and Partner leaders to align messaging, qualification frameworks, and customer journey execution, and advise GTM leadership on readiness and change management for new initiatives. Build dashboards and reporting that link enablement to GTM outcomes (rep, PAM, and SDR productivity, internal satisfaction, completion), using data to prioritize investment and retire programs that don't move the number. Define and drive the partner enablement strategy, aligned with internal enablement programs and GTM motions. Qualifications: 10+ years combined in sales and sales enablement at enterprise SaaS companies, including 5+ years in leadership. Track record of scaling onboarding and enablement in a high-growth environment. Deep expertise in core enablement disciplines: value selling, sales process and methodologies, coaching, skill development, and presentation skills. Ability to partner across Sales, Marketing, Customer Success, Solution Engineering, and Product to build a culture of alignment. History of designing and launching partner enablement programs. Skilled at creating learning content and shaping a unified communications strategy that keeps the field informed and aligned. Prior work in a GTM strategy role, with a strong grasp of how enablement connects to revenue planning. Success planning and executing large-scale events, such as global sales kickoffs. Exceptional written and verbal communication, with the ability to influence at every level, including executive leadership. Nice to have: Time spent carrying a quota in a selling role. Leadership of a sales-related function, such as Sales Development, Inside Sales, or Enterprise Sales. Familiarity with enterprise technology companies serving the developer space. Hands-on work developing competitive programs, buyer personas, and customer reference programs. Pay: Target pay ranges based on Geographic Zones* for Level M5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $240,600 - $330,700 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $216,500 - $297,600 * Zone 3: All other US locations - $204,500 - $281,100* * All Zones Inclusive of 20% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Задачи: — развивать и поддерживать функционал онлайн-банка — участвовать в определении направления развития архитектуры микросервисов и дальнейшем выборе технологий — повышать надежность и качество системы Требования: — опыт разработки на Java от 5 лет — хорошо знаешь Java 17+, Spring Boot, SQL — умеешь разбираться в чужом коде — знаешь, как писать Unit-тесты — имеешь опыт работы с системой контроля версий Git — возможно, имеешь опыт работы с Spring Cloud — понимаешь принципы работы Docker и Kubernetes — работал по гибким методологиям (Agile-фреймворки) — участвовал в разработке продуктов с большой нагрузкой — любишь делиться знаниями через code-review и работу в паре — знаешь основные алгоритмы, структуры данных, понимаешь шаблоны проектирования — знаешь и понимаешь HTTP, REST, REST Maturity Level Условия: — официальное трудоустройство с первого дня работы — стабильный белый оклад и систему премирования — новый и современный офис у метро Калужская (возможен гибридный формат работы) — позитивную и заряженную команду профессионалов и адекватное руководство — среду для твоего развития через новые и сложные задачи — участие в разработке уникальных продуктов, которыми будут пользоваться миллионы клиентов — возможность влиять на рабочие процессы, улучшать их и делать удобными для себя и окружающих — работу в среде, где приветствуется инициативность и поощряется нестандартный подход — возможность профессионального и карьерного роста (внутреннее обучение, конференции, митапы, хакатоны) — ежегодный отпуск, оплачиваемый больничный, ДМС после испытательного срока — льготные условия по кредитной карте, кредиту и ипотеке — особые предложения от крупнейших застройщиков России — скидки до 70% на покупки от 500 лидеров рынка через корпоративный агрегатор

Задачи: — Анализировать спрос, выдачу и конкурентов, находить перспективные бренды, ключи и GEO. — Подбирать домены и запускать сайты через WordPress, CMS, шаблоны и AI-инструменты. — Работать с семантикой, контентом, структурой, перелинковкой, индексацией и техническим SEO. — Проверять гипотезы, фиксировать результаты и масштабировать успешные связки. — Отслеживать трафик, конверсии и депозиты, оценивать прибыльность запусков. Требования: — Опыт самостоятельного запуска сайтов — от идеи и домена до индексации и первых результатов. — Уверенная SEO-база и умение превращать анализ конкурентов в конкретные тесты. — Опыт с GSC, Bing Webmaster Tools, Ahrefs/Semrush, Keitaro или аналогами. — Активное использование AI-инструментов. — Самостоятельность и ответственность за результат. Будет плюсом: — Опыт с Tier-1/2/3 GEO, дропами, EMD/PMD, подклейками, зеркалами, PBN и parasite SEO. Условия: — Удалённая работа из любой точки мира. — Оплачиваемый тестовый период — 4-6 дней. Зарплата: — Оклад — $500 + бонус по KPI за привлечённый трафик.

Location: Athens, Greece About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt, we’re building technology that makes life in local neighborhoods simpler. Wolt Market is our online grocery business, bringing customers a curated range of everyday essentials quickly and reliably. The Category Team shapes the assortment, promotions and supplier collaboration behind that experience. As a Category Specialist, you will be the operational backbone of the team ensuring promotional plans, data, communication and follow-ups move accurately and on time. What you’ll be doing This is a hands-on coordination role at the centre of the Category Team. You will work closely with Category Managers, suppliers and internal stakeholders to keep commercial activities organised, accurately documented and delivered on schedule. Day-to-day in this role you’ll: Coordinate the collection, follow-up and communication of promotional plans with suppliers. Maintain accurate trackers, files and timelines for promotions, campaigns and category initiatives. Support Category Managers with administrative and executional tasks, including supplier and SKU-related processes. Act as a key point of contact between suppliers, Category Managers and internal teams, ensuring clear and timely activation of Promo Plan. Support post-campaign reporting and the preparation of materials used to evaluate promotions and commercial activities. Use systems, reporting tools and AI-enabled tools to improve accuracy, visibility and day-to-day efficiency. Our humble expectations We are looking for a highly organised and proactive team player who enjoys working in a fast-moving e-commerce environment. Experience in a coordination, commercial support, e-commerce or retail or FMCG role. Strong organisational skills, attention to detail and the ability to manage multiple priorities and deadlines. Clear and professional written and verbal communication skills in Greek and English. Confidence working with Excel or Google Sheets, PowerPoint and everyday office tools. Comfort using systems and reporting tools, with curiosity and willingness to adopt AI and automation tools. A collaborative and hands-on approach, with the motivation to learn and grow in a commercial environment. What’s in it for you You’ll gain broad exposure to the commercial engine of a fast-growing online grocery business and work closely with Category Managers, suppliers and cross-functional teams. This role offers a strong foundation to build commercial, analytical and operational skills while helping shape more efficient ways of working through data, systems and AI. Next steps We review applications on a rolling basis. The recruitment process will include an initial conversation with Talent Acquisition, an interview with the hiring team and a practical assessment or working session relevant to the role. The Talent Acquisition team will guide you through the process and share the details at each stage. The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position is not eligible for consideration for an equity/RSU grant. Pay Range: €1.851 — €2.314 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Задачи: — сопровождать системы хранения данных, вводить в эксплуатацию новые, сопровождать комплектацию дисковыми полками, контроллерами, устанавливать актуальные версии ПО, настраивать SP/BMC/IPMI интерфейсы СХД NetApp, Huawei — сопровождать коммутаторы сети хранения данных, вводить в эксплуатацию новые, сопровождать (Brocade, Cisco) — работать по направлению технической поддержки дисковых массивов NetApp, Huawei, HPE и системного программного обеспечения ONTAP — проводить ремонтно-восстановительные мероприятия и процедуры на серверном оборудовании и системах хранения данных — составлять и своевременно обновлять эксплуатационную документацию — поддерживать в актуальном состоянии перечень запасных компонентов систем хранения данных и серверного оборудования (диски, блоки питания, контроллеры расширения) Требования: — понимание, что такое система хранения данных, её компонентов и взаимодействия между ними — знание СХД линеек NetApp AFF и FAS, Huawei Dorado — опыт в настройке и администрировании SAN (Brocade, Cisco) — опыт работы в подразделении, отвечающем за техническую поддержку или эксплуатацию дисковых систем хранения данных NetApp, Huawei, HPE — опыт работы с протоколами доступа к данным FC, iSCSI, CIFS, NFS, S3 в части СХД — практический опыт работы с серверным оборудованием (HPE, IBM) и СХД (SAN, iSCSI, RDMA) — опыт эксплуатации операционных систем и гипервизоров: MS Windows Server, RHEL, VMware — опыт работы с базовым мониторингом с помощью Zabbix или Grafana — умение проводить комплексный анализ и решать сложные проблемы с операционными системами, производительностью, сетью SAN Условия: — официальное трудоустройство по ТК РФ с первого дня — формат работы — офис, график 5/2 с 9 до 18 часов — возможность построить карьеру в стабильном банке — льготные условия по кредитной карте, кредиту и ипотеке — особые предложения от крупнейших застройщиков России — скидки до 70% на покупки от 500 лидеров рынка через корпоративный агрегатор

Location: Georgia - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Mission We are looking for a true leader who will manage DevOps and Infrastructure teams to improve, and maintain the technical infrastructure required to support the development, deployment, and operation of Smartcat. This includes ensuring the availability, scalability, and reliability of staging and production environments, and defining and enforcing best SRE and DevOps practices. Outcomes Zero Incorrect Release-Related Production Issues: Enforce rigorous CI/CD testing and reviews to eliminate release errors. CI/CD and Staging Servers Availability at 99.9%: Maintain robust staging infrastructure with minimal downtime, ensuring a 99.9% uptime. Product Availability at 99.99%: Implement resilient systems and procedures for near-perfect product uptime, with effective disaster recovery plans. Decrease Lead time by accelerating CI/CD pipelines and environments Build and manage a team of A+ players within the engineering organisation across different regions and time zones. You are expected to strengthen the hiring process, provide expert technical guidance, effective coaching, and career development for your team members Requirements 3 years of experience leading a team in a fast-growing multinational IT business; 5 years of experience in DevOps and SRE, maintaining high-RPS (Requests Per Second) distributed products; Utilize a data-driven approach. Ability to justify decisions using concrete metrics; Can build relationships with neighboring teams, initiate and adhere to agreements, and act as an interface between your team and the environment; Strong hands-on experience with DevOps practices (in a leading role), specifically in building complex CI/CD pipelines, implementing IaC (Infrastructure as Code), and realizing various deployment strategies; Experience in implementing secure development environments; Possess practical experience in developing and maintaining large scalable applications in the cloud (AWS, Azure, GCP); Tech Stack .Net Core, MongoDB, Vue 2/3, AWS, Kafka, ES, Gitlab CI, Prometheus, Victoria Metrics, Jaeger, k8s Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Portugal - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Mission We are looking for a true leader who will manage DevOps and Infrastructure teams to improve, and maintain the technical infrastructure required to support the development, deployment, and operation of Smartcat. This includes ensuring the availability, scalability, and reliability of staging and production environments, and defining and enforcing best SRE and DevOps practices. Outcomes Zero Incorrect Release-Related Production Issues: Enforce rigorous CI/CD testing and reviews to eliminate release errors. CI/CD and Staging Servers Availability at 99.9%: Maintain robust staging infrastructure with minimal downtime, ensuring a 99.9% uptime. Product Availability at 99.99%: Implement resilient systems and procedures for near-perfect product uptime, with effective disaster recovery plans. Decrease Lead time by accelerating CI/CD pipelines and environments Build and manage a team of A+ players within the engineering organisation across different regions and time zones. You are expected to strengthen the hiring process, provide expert technical guidance, effective coaching, and career development for your team members Requirements 3 years of experience leading a team in a fast-growing multinational IT business; 5 years of experience in DevOps and SRE, maintaining high-RPS (Requests Per Second) distributed products; Utilize a data-driven approach. Ability to justify decisions using concrete metrics; Can build relationships with neighboring teams, initiate and adhere to agreements, and act as an interface between your team and the environment; Strong hands-on experience with DevOps practices (in a leading role), specifically in building complex CI/CD pipelines, implementing IaC (Infrastructure as Code), and realizing various deployment strategies; Experience in implementing secure development environments; Possess practical experience in developing and maintaining large scalable applications in the cloud (AWS, Azure, GCP); Tech Stack .Net Core, MongoDB, Vue 2/3, AWS, Kafka, ES, Gitlab CI, Prometheus, Victoria Metrics, Jaeger, k8s Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Sydney, Australia About Blue Projects Blue Projects is a full service Design, Engineering, Project Management and Construction Management company with international experience delivering complex greenfield and brownfield developments for global blue-chip clients across retail, commercial and industrial sectors. We operate with a flexible, client focused approach, applying lean design and lean construction methodologies to ensure seamless cross discipline interface management and consistent quality. With a presence in 53+ countries and 26 offices, our teams have successfully delivered 500+ projects totaling more than €8 billion in value—combining hands on ownership with a culture that prizes safety, down to earth collaboration, and being “always deliver & pleasant to work with.” Deliver here. Grow here. We are seeking a hands-on Maintenance Fitter / Tradesperson for a site-based role at a busy food manufacturing facility in Sydney, NSW. You will support safe and reliable plant operations through planned preventive maintenance, breakdown repairs, corrective work and practical site improvements, working independently or as part of the maintenance team. Role Overview This role is based at a multi-storey food manufacturing site in NSW, with an anticipated start in early 2027 and engagement through Blue Projects. The work is varied and dynamic, moving between planned maintenance, reactive repairs, improvement tasks and general facility maintenance. The successful candidate will be a self-starter who takes ownership of each job and completes work safely and to a high standard without close supervision. Job Description Change pumps, mechanical seals and associated equipment. Install, run and modify pipework. Identify faults and complete mechanical repairs. Complete preventive maintenance and corrective PM02 work orders for the maintenance teams. Respond to equipment breakdowns and routine site maintenance requests. Carry out general maintenance and handyman tasks throughout the facility. Work safely at heights and across multiple levels of the plant. Follow site Good Manufacturing Practice, food safety and workplace safety requirements on every job, including permits and risk assessments. Leave all work areas clean, safe and ready for production. Qualifications Trade-qualified fitter or equivalent tradesperson with strong site experience. Self-motivated and able to take ownership of work from start to completion. Comfortable working independently and equally effective as part of a team. Willing to undertake challenging jobs and work overtime when required. Strong safety mindset with an understanding of Good Manufacturing Practice in a food manufacturing environment. Confident and competent when working at heights. Practical, adaptable and able to move between planned and reactive work. Reliable, punctual and well presented. Current working at heights ticket is required. Confined space, elevated work platform for scissor and boom lifts, and forklift tickets are well regarded. Previous experience in food manufacturing or another Good Manufacturing Practice-regulated site is advantageous. Completion of the site induction and compliance with all site safety, hygiene and personal protective equipment requirements are required. Additional Information Career growth & well being At Blue Projects, you’ll join a smart, open and communicative team with access to Online Learning Platforms, psychological and well being services, and an Employee Assistance Program. Benefits (country specific) Business health insurance coverage, access to sports and relaxation services, and performance based annual bonus; role appropriate equipment such as laptop, mobile phone, and data plan. Global mobility Opportunities for international assignments aligned to our Global Mobility Policy, with clear, equitable and standardized terms and conditions for short and long term engagements. Our culture We value safety, integrity, flexibility, and being great partners to our clients—operating with hands on ownership and a down to earth, high performance mindset. Inclusion & Equal Opportunity Blue Projects is committed to inclusion, dignity and respect, with zero tolerance for bullying, harassment or discrimination. We provide impartial support mechanisms and clear procedures to ensure a respectful workplace for all colleagues, contractors and agency workers. GDPR & confidentiality By applying, you consent to the use of your personal data strictly for recruitment purposes, in accordance with our GDPR practices; access is limited to authorized staff and handled confidentially. ________________________________________________________________________ About Blue Projects Formed in Romania in 2007, Blue Projects brings together dedicated and experienced engineers, architects and project managers with a track record of delivering complex, fast track developments worldwide. Our brand personality is dynamic and client oriented, focused on creating a memorable, meaningful and contemporary impact—supported by consistent standards and identity. ________________________________________________________________________ How to apply Please submit your CV. Shortlisted candidates will be contacted to discuss next steps.

Location: Berlin, Germany 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 Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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: Zurich, Switzerland 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 Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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: Kuala Lumpur, Malaysia; Indonesia; Singapore Workplace: fully We're Osome - an international fintech startup making the lives of entrepreneurs easier. We help thousands of businesses kick admin, accounting and bookkeeping out of their day-to-day, so they can spend more time on what's important to them. We've developed a unique solution that combines SaaS with a human-in-the-loop approach to provide full-fledged services in real-time. We’re experiencing rapid growth in both client base and team, which now comprises around 500 people across our offices worldwide. As we continue to scale, we’re looking for more bright minds who are excited to make a real impact by solving complex problems. What to expect: Intelligence builds the AI capabilities no single team at Osome should carry alone, and helps every other team ship AI well. It works in three modes. It owns cross-cutting capability. It enables product teams by pairing with their engineers, so the pattern transfers and the team runs it afterwards. It incubates only by exception: building inside another team's area when that team has no capacity, always with a written hand-back plan. This is a hands-on PM role. You'll find problems by talking to end users, dig into the data in BigQuery and Postgres to prioritise, prototype cheaply before committing engineering effort, and ship small fixes yourself. You'll also be the team's main liaison with Operations. At a glance You'd own: client and agent assistants (e.g. Maria, our client-facing bot, and the workflows it runs), document and accounting intelligence (e.g. document recognition, AI accounts review, our XBRL agent), and the shared AI foundation (evaluation and safety, memory, Osome MCP and model choices). You'd work with: five engineers, plus shared design and an analyst. Product teams across Osome and our operations teams are your customers. The problem to solve: AI is spreading across our teams faster than shared standards are. Your job is to stop every team reinventing evaluation, safety and memory, while our core AI products keep improving quarter on quarter. What you'll do: Own the Intelligence roadmap, OKRs and delivery, with two or three big bets each quarter. You make the prioritisation calls, own the business outcome behind the backlog, and write the release notes when things ship. Set the evaluation bar for AI across Osome: eval datasets, confidence thresholds, human-review sampling and go/no-go gates. With our Security team, set the safety and data-handling bar for AI across Osome: escalation rules, pre-action checks on agents, fail-open vs fail-closed behaviour, privacy and retention, client data isolation, and provider governance (e.g. zero data retention agreements). Define the success metrics for each AI product before it ships, then keep checking the data yourself after launch to see whether it's working. Brief the analyst on what to build, and review the result. Use that evidence to make model and provider calls, e.g. benchmark a new model against our own labelled documents before switching. Break epics into clear stories and tasks that engineers can pick up without a meeting. Pair with product teams' engineers to build AI features, and define what "successfully handed over" means. Be the team's liaison with Operations: run training and feedback rounds, collect baseline data, and drive adoption until the AI version beats the manual process. Run a small research track: test new techniques and approaches (e.g. retrieval, memory or agent patterns) on our own problems, and write up what we should adopt and what we should skip. Represent this team's priorities to senior stakeholders. As the team grows, mentor other PMs and help manage them. Who you are: Evaluated against our PM capability framework. At the Senior PM level, that means: Strategic impact: you can define and drive a strategy spanning 12 months or more for a platform-style team whose customers are other teams, tied to a company-level goal such as gross margin. Domain ownership: you own the OKRs, roadmap and business outcome of a complex, ambiguous, cross-functional area. You understand applied LLM/ML products deeply (evaluation, retrieval, memory, agent safety), and can become credible in our accounting and operations domain within two quarters. Collaboration: you drive high adoption of new tools with operations teams, including the processes needed to run them. You build consensus among senior leaders with conflicting goals, and you can say no while leaving the stakeholder feeling heard. Problem-solving: you map ambiguous, system-level problems, and know when a rule, a classifier or an LLM is the right tool. Execution: you reliably ship complex, cross-functional launches involving Operations and other product teams. You prototype to de-risk before committing engineering time, and you spot risks early. AI-literacy: hands-on well beyond prompting. You build prototypes and ship small PRs with AI coding tools, build eval datasets and run model experiments, read traces, and judge where models fail. Leadership: you shape direction across teams you don't manage, improve how the team works, and are ready to mentor at least one other PM as a player-coach. What you bring AI/ML features shipped to production, with quality measured after launch (accuracy, coverage, deflection). Experience building evaluation datasets and running model experiments: thresholds, go/no-go gates, human-in-the-loop decisions, and reading traces in an observability tool (we use Langfuse) to see where models fail. Experience shipping AI features that handle sensitive or financial data, and deciding when they should escalate to a human or stop. Daily use of AI coding tools (e.g. Claude Code, Codex, Cursor) to read code and ship small changes. Strong SQL. You can pick the right metrics for a product and explain what you need to an analyst. Data modelling is not required. Experience working directly with operations teams: running training, collecting feedback, and proving time saved against a manual baseline. A track record of good calls under ambiguity, and of checking afterwards whether they were right. (Nice to have) Setting company-wide safety and data-handling rules for AI: fail-open vs fail-closed policies, privacy and retention, and client data isolation, including knowing when a new AI vendor needs a security review before it sees any data. (Nice to have) Bookkeeping or accounting literacy: enough double-entry, chart-of-accounts and GST/VAT knowledge to judge whether an AI accounts review or document check is right. Either a qualification or hands-on bookkeeping experience counts. (Nice to have) Document AI/OCR in production: classifying or extracting invoices, bank statements and receipts, and the trade-offs between coverage, accuracy, confidence thresholds and cost. (Nice to have) Agentic systems or MCP in production: agents or tools that take real actions, with permissions, human approval steps and multi-step evaluation. Our Benefits Multi-cultural environment to enhance your global perspective. Learning opportunities and mentorship from peers and leaders. Flexible working arrangement; Hybrid working arrangement An agile working model focused on goals and performance. Equal Opportunity Statement At OSOME, creating a culture where individuals of all backgrounds feel comfortable really matters. Everyone who applies will receive fair consideration for employment. We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. We want to ensure that we represent the diversity of talent in the society we live in today. If you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know so that we can support you.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale. In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy. We are looking for a Senior Sales Engineer to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions. You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing: Revenue quality Engineering focus Product evolution Customer trust at scale You’re welcome to work remotely from Europe. Your responsibilities will include: Strategic Technical Discovery Lead deep technical discovery with engineering teams and technical founders Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies Translate customer ambition into production-feasible architectures Identify hidden technical risks early Commercial Acceleration Partner tightly with Sales on strategic deals Influence deal strategy through architectural clarity Prevent misaligned commitments before engineering allocation Increase PoC-to-production conversion by ensuring technical realism PoC Architecture & Validation Define measurable success criteria (latency, TTFT, throughput, cost envelope) Classify workload complexity and required optimization depth Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.) Drive structured Go / No-Go decisions Prevent uncontrolled customization or hidden R&D Pattern Recognition & Platform Leverage Identify recurring configuration patterns across customers Quantify demand for advanced optimizations (quantization, speculative decoding, etc.) Surface structured insights to Product and Engineering Help evolve platform capabilities based on real workload data We expect you to have: Deep understanding of AI inference systems and GPU-backed infrastructure Experience with LLM workloads and performance-sensitive environments Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM). Ability to reason about latency, throughput, cost, and architecture tradeoffs Strong customer presence with engineering-first organizations Comfort challenging assumptions and pushing back constructively Commercial awareness – you understand that engineering time is a strategic resource Preferred technical stack : Programming Languages– Python Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent API and Web Frameworks– FastAPI, Flask MLOps and DevOps tools– Kubernetes (K8s), Docker, Git Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) What success looks like : Strategic deals are technically sound before engineering engagement PoCs are clearly scoped and economically justified Engineering capacity is allocated predictably Conversion to production improves Customers view you as a trusted architectural advisor 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: Berlin Office; Germany Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. ABOUT THE ROLE Your goal will be to build DACH into n8n's most predictable Enterprise sales region - developing a team of high-performing Enterprise AEs, instilling forecast and pipeline discipline, and creating a repeatable operating model that wins complex, multi-stakeholder deals To make that happen, you'll be hands-on in coaching, deal inspection, and team development day-to-day, while staying close enough to strategic deals and customer executives to raise the bar on how we qualify, forecast, and win. What you’ll be doing   DEVELOPING A HIGH-PERFORMING, PREDICTABLE DACH TEAM - Coach and develop a team of Enterprise AEs through structured 1:1s, field coaching, and deal reviews – raising both the floor and the ceiling on individual performance - Build a rigorous forecasting and pipeline management cadence that makes DACH's numbers predictable quarter over quarter, not dependent on late-quarter heroics - Create a repeatable operating model – clear playbooks, MEDDIC/MEDDPICC-based deal inspection, and coaching rhythms – DACH's execution shouldn’t rely on you personally driving every strategic deal - Hire, onboard, and scale the team over time, establishing career paths and succession plans as the region grows SETTING THE STRATEGY FOR THE DACH TERRITORY - Prioritize and run the DACH Enterprise territory with focus – balancing new logo pursuits with expansion plays where community signals are strong - Set the strategy for the team's most complex enterprise cycles, from discovery to close, staying close enough to coach without taking the pen - Elevate sales methodology adoption (MEDDIC/MEDDPICC), ensuring meticulous qualification, mutual action plans, and disciplined inspection of technical + business wins BUILDING A STRATEGIC, MULTI-THREADED SELLING MOTION - Build a strategic selling culture that shifts the team from “running opportunities” to multi-threaded, value-led enterprise execution - Orchestrate executive engagement across DACH accounts – aligning economic buyers, champions, and technical evaluators to keep momentum and unblock deals - Run high-quality deal reviews and QBRs that sharpen strategy, elevate coaching moments, and improve win rates, cycle time, and forecast accuracy   PARTNERING ACROSS THE BUSINESS - Collaborate cross-functionally (Solutions Engineering, Customer Success, Marketing, RevOps, Product) to refine messaging for technical buyers, strengthen the enterprise playbook, and remove friction in the sales process REQUIREMENTS MUST HAVES - 🏆 Enterprise sales leadership: 5+ years in frontline sales management, leading ICs through complex, multi-threaded enterprise deals - 🔎 MEDDIC/MEDDPICC mastery: Deep, practical command of MEDDIC/MEDDPICC and a track record coaching teams to adopt it with real inspection - 📈 Forecast & pipeline rigor: Track record running a disciplined forecasting and pipeline management cadence that makes revenue predictable, not reactive - 🧠 Strategic deal management: You’re fluent in qualification, mutual action plans, champion building, and executive alignment in longer-cycle deals - 🎙️ Executive presence: You confidently engage senior stakeholders, run tight meetings, and set a high bar for clarity, urgency, and outcomes - 🧑‍🏫 Coaching & talent development: You level up AEs through structured coaching, field observation, and actionable feedback - 🧩 Multi-stakeholder navigation: You’re skilled at aligning technical and economic buyers, de-escalating conflict, and maintaining deal momentum - 🇩🇪 DE location: You’re based in Germany and happy being on-site with customers - 🔧 Technical-buyer credibility: Experience selling into technical stakeholders and navigating evaluation-heavy sales motions NICE-TO-HAVES - 🖥️ Open-source / PLG experience: You understand how community and bottoms-up adoption influence enterprise outcomes and how to partner with that motion - 🌉 Developer / infra SaaS background: Experience in DevOps, SecOps, IT Ops, data, infrastructure, or adjacent categories - 💡 Scrappy startup mindset: You’ve scaled in environments where playbooks are evolving and you enjoy building structure without slowing teams down - 📊 Operational excellence: Strong instincts for clean forecasting, pipeline hygiene, and turning data into coaching and better execution n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Budapest, Hungary About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt, you can grow your sales career with a fun and fast-scaling global business. Part of the DoorDash team, we’re building a global logistics platform that can deliver (almost) everything in your city, to your door in minutes. Today, our products are used by 55+ million registered users who can now order from 200,000+ restaurants and retail stores across 30+ countries around the world. Our Sales teams create and build our relationships with merchants. Together, we’ve helped big brands, local stores and neighborhood restaurants do over €15 billion’s worth of business through our platform. We’re constantly launching new cities and products, so there are always new opportunities to expand your skills and progress your career. As our new Inside Sales Representative you will manage the entire sales cycle, from lead generation to closing deals, by engaging with prospective Wolt merchants over the phone. You will have a direct impact on Wolt’s growth by identifying and onboarding new restaurants. What you’ll be doing Day-to-day in this role you’ll work with: Lead Generation & Acquisition: Research and target potential Wolt merchants across Hungary Execute outbound cold calls to generate new business opportunities and build a strong sales pipeline. Relationship Building: Build and maintain strong, long-term relationships with our Wolt merchants for mutual success. Engage with merchants to understand their needs and present Wolt as the ideal solution. Sales Performance: Meet and exceed sales targets by consistently closing new partnerships with Wolt merchants. Track and report on KPIs, such as the number of calls, virtual meetings, and Wolt merchants onboarded. Coordination & Documentation: Ensure smooth onboarding of new Wolt merchants by organizing and maintaining accurate documentation in our CRM. Work closely with internal teams to streamline processes and guarantee a seamless experience for Wolt merchants. Attention to detail is required Our humble expectations Have 1–2 years of B2B consultative sales experience and a Bachelor’s degree or equivalent, executing day-to-day independently and seeking guidance on complex deals. Have the charm, empathy and honesty to build strong relationships. Are used to high-performance, high-expectation cultures. You have a great track record in B2B consultative sales and are a superstar deal closer. Take a hands-on, proactive approach to getting stuff done and seeing things through. Have fluent and persuasive written and spoken communication skills in Hungarian  and conversational level English knowledge Are entrepreneurial, innovative, and good at solving problems. Can adapt quickly in a rapidly changing market. You plan ahead and have structure to your work - you develop strategies for how to succeed in your markets and go hunting with purpose and planning. What’s in it for you 🌍 Independent work in a dynamic, international team 💳 SZÉP-card 🏥 Private health insurance 🏋️ All You Can Move card (self-financed) 💙 Employee Assistance Programme - therapy and wellbeing % Discount on your Wolt orders 👶 Extended parental leave for fathers: 16 weeks total 💻 Modern work equipment 🫶 Volunteer day 🍿 Snacks & drinks in the office 🏡 Hybrid working model Why you’ll love it 🚀Global and growing fast: Be part of a fast-moving scaleup 🤩Ride of a lifetime: Accelerate your career and build your sales skills 💪Instant impact: Take ownership and make a difference 💙Big hearts and small egos: Surround yourself with smart, friendly people Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV and get the conversation going! We will be reviewing applications on an on-going basis. If this sounds like an opportunity you want to pursue, apply today!  💙 Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced Threat Hunting Team Lead to join the Cyber Security organization, reporting to the Head of Proactive Security under the CISO. This role is responsible for leading the organization's proactive threat hunting program across Nebius's corporate IT environment, cloud platforms, and data center infrastructure. You will lead a team of threat hunters focused on identifying advanced threats, uncovering adversary activity before it becomes an incident, and continuously improving the organization's detection capabilities. The ideal candidate combines strong technical expertise with an attacker mindset and a passion for proactive defense. You will work closely with SOC, Incident Response, Threat Intelligence, Detection Engineering, and Security Engineering teams to identify emerging threats, develop hunting methodologies, and strengthen Nebius's overall cyber resilience. Your responsibilities will include: Lead and manage the Threat Hunting team, including mentoring, prioritization, and professional development. Define and execute the organization's proactive threat hunting strategy across corporate IT, cloud environments, and data center infrastructure. Lead hypothesis-driven threat hunting activities to identify advanced threats, persistence mechanisms, and malicious activity not detected by existing security controls. Develop and continuously improve threat hunting methodologies, playbooks, and operational procedures. Leverage threat intelligence, adversary TTPs, and MITRE ATT&CK to drive hunting campaigns and prioritize hunting efforts. Hunt across endpoint, identity, network, cloud, and application telemetry to identify suspicious behavior and indicators of compromise. Collaborate with SOC and Incident Response teams to validate findings, support investigations, and improve incident response capabilities. Partner with Detection Engineering to convert successful hunts into automated detections and improve security monitoring coverage. Work closely with Security Engineering and Infrastructure teams to identify security gaps and recommend improvements. Produce technical reports, executive summaries, and threat assessments for leadership and key stakeholders. Define KPIs and measure the effectiveness and maturity of the organization's threat hunting program. Stay current on emerging threat actors, attack techniques, AI-driven threats, and industry best practices, incorporating new knowledge into hunting operations. We expect you to have: 6+ years of experience in cyber security, with a strong focus on threat hunting, incident response, detection engineering, or SOC operations. 2+ years of experience leading technical security teams. Strong understanding of attacker methodologies, post-exploitation techniques, and modern cyber threats. Hands-on experience conducting hypothesis-driven threat hunting across endpoint, network, identity, and cloud environments. Deep knowledge of MITRE ATT&CK and adversary tactics, techniques, and procedures (TTPs). Experience working with EDR/XDR, SIEM, cloud security platforms, and threat intelligence sources. Experience investigating advanced persistent threats (APTs), ransomware, insider threats, and cloud-based attacks. Strong scripting or query skills (e.g., KQL, SPL, SQL, Python, PowerShell) for threat hunting and analysis. Strong analytical, investigative, and problem-solving skills. Excellent written and verbal communication skills in Hebrew and English. It will be an added bonus if you have: Experience hunting across AWS, GCP, or Azure cloud environments. Familiarity with large-scale enterprise, cloud-native, or AI infrastructure environments. Experience developing detection rules and behavioral analytics. Knowledge of malware analysis, digital forensics, or reverse engineering concepts. Experience with threat intelligence platforms and threat hunting frameworks. Relevant certifications such as GCFA, GCTI, GREM, GCIA, CISSP, or equivalent. BSc in Computer Science, Information Security, or a related field. 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.