Вакансии

Location: Brussels, Belgium We currently have a vacancy for a System and Deployment Administrator fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. Your tasks Manage deployments in Acceptance (ACC) and Production (PROD) environments; Work closely with Development, QA, and DevSecOps teams to ensure smooth deployments; Monitor system performance and proactively address potential issues; Manage server, storage, and network configurations; Maintain an incident log and prepare incident reports; Provide technical support and guidance to other team members; Participate in on-call rotations for after-hours support. Requirements University degree in IT or relevant discipline, combined with minimum 15 years of relevant working experience in IT; Minimum 3 years’ of experience with IT operations or a similar role; Excellent experience with deployment management; Excellent experience with scripting (i.e. Python, Bash, PowerShell); Excellent experience with cloud platforms (i.e AWS, Azure, GCP); Experience with infrastructure as code tools (i.e. Terraform, Ansible, Puppet); Knowledge of Atlassian Tools: JIRA, Confluence, Bitbucket; Knowledge of Version Control: Git, GitHub, GitLab; Knowledge of CI/CD: Jenkins, GitLab CI, Travis CI; Knowledge of Monitoring: Prometheus, Grafana, Dynatrace; At least one of the following certifications is required: o AWS Certified SysOps Administrator or equivalent; o Microsoft Certified: Azure Administrator, or equivalent; Excellent command of the English language. Benefits If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference: (17681/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using integrated state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies and national government Administrations in 40 countries and 4 continents.. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Задачи: — Управлять процессом внедрения для клиентов, тесно сотрудничая с командой аккаунтов для согласования технического исполнения и целей успеха клиентов — Проектировать и оптимизировать рамки внедрения, которые могут масштабироваться на разные сегменты клиентов с учётом специфических требований предприятий — Проводить технические сессии и воркшопы по внедрению, взаимодействуя с командами инженеров данных клиентов и бизнес-стейкхолдерами — Создавать и поддерживать подробную техническую документацию по внедрениям, включая спецификации интеграций, модели данных и лучшие практики — Разрабатывать и выполнять планы внедрения, минимизируя время до получения ценности и обеспечивая надёжные и устойчивые решения — Сотрудничать с командами продукта и инженерии для выявления и устранения технических препятствий, влияющих на успех клиентов — Строить отношения с техническими стейкхолдерами внутри организаций клиентов — Вносить вклад в развитие продукта, предоставляя обратную связь инженерной команде — Стандартизировать и автоматизировать процессы внедрения для повышения эффективности команды и удовлетворённости клиентов Требования: — 5-10 лет опыта в технической реализации, архитектуре решений или аналогичных ролях с корпоративным программным обеспечением — Сильный технический бэкграунд с практическим опытом интеграции данных, API и корпоративной архитектуры — Подтверждённый опыт успешного управления сложными техническими внедрениями с поддержанием ясной коммуникации с различными стейкхолдерами — Способность решать самые неоднозначные проблемы клиентов и находить креативные пути для успешной реализации — Опыт создания и оптимизации процессов внедрения, масштабируемых на организацию — Отличные навыки технического управления проектами с возможностью вести несколько параллельных внедрений — Сильные презентационные и фасилитационные навыки, умение управлять аудиторией технических и бизнес слушателей — Опыт работы с хранилищами данных, ETL-процессами и маркетинговыми технологиями будет плюсом — Степень бакалавра или эквивалентный опыт Условия: — Зарплата $140,000-$180,000 в год, удалённая работа без привязки к локации — Значимая доля в компании (equity) Дополнительно: — Компания участвует в программе E-Verify, проверка права на работу в США происходит после найма

Задачи: — Владение полным циклом развертывания и миграции для корпоративных клиентов Email/SMS, от технического анализа до успешного запуска в продакшн — Проведение технических сессий и воркшопов, перевод требований клиентов в масштабируемую архитектуру сообщений, включая интеграции, потоки данных, API, структуру аккаунта и конфигурацию каналов — Оценка существующей инфраструктуры ESP и сообщений клиентов, разработка планов миграции с управлением зависимостями, снижением рисков и ускорением времени выхода на результат — Управление внедрением среди технических и бизнес-стейкхолдеров, включая конфигурацию, интеграцию, тестирование, валидацию, переключение и готовность к запуску — Руководство SMS-провиженингом и внедрением, включая настройку отправителей, регистрацию, управление согласием и предпочтениями, а также идентификацию зависимостей операторов, регуляторных и провиженинг — Сотрудничество со специалистами по доставляемости по вопросам аутентификации отправителей, стратегии доменов и IP, разогрева, репутации и общей готовности к доставке — Выступать в роли доверенного технического советника для клиентов, проактивно выявляя архитектурные решения, риски и блокеры в процессе развертывания — Взаимодействие с командами продукта и инженерии для решения блокеров внедрения и передачи обратной связи и пробелов продукта — Создание повторяемых фреймворков, документации, инструментов и лучших практик для повышения эффективности и масштабируемости корпоративных развертываний Требования: — 5–10 лет опыта в технической реализации, архитектуре решений, профессиональных услугах или аналогичной технической роли с взаимодействием с клиентами — Опыт внедрения или миграции корпоративных платформ email, SMS, маркетинговой автоматизации или взаимодействия с клиентами — Сильная техническая база в API, вебхуках, интеграциях данных, аутентификации и корпоративной архитектуре — Глубокое понимание архитектуры сообщений, включая домены отправителей и IP, данные подписчиков, управление согласием и предпочтениями, а также транзакционные и маркетинговые сообщения — Опыт SMS-провиженинга и внедрения, включая 10DLC, регистрацию бесплатных или коротких номеров, управление согласием и требования операторов — Доказанная способность руководить сложными корпоративными внедрениями с участием нескольких технических команд, бизнес-стейкхолдеров и зависимостей — Сильные навыки технического управления проектами, коммуникации и фасилитации, способность вести несколько внедрений и направлять технические решения — Опыт разработки процессов и фреймворков внедрения, масштабируемых с ростом продукта и организации — Опыт работы с платформами Adobe Campaign, MoEngage, Marketo, Eloqua, Attentive, Salesforce Marketing Cloud, Braze, Iterable, Responsys, SendGrid, Twilio или аналогичными будет преимуществом — Степень бакалавра или эквивалентный практический опыт Условия: — Зарплата $140,000-$180,000 USD в год, не зависит от местоположения в соответствии с политикой remote-first — Предоставляется значимая доля в капитале компании Дополнительно: — Компания участвует в E-Verify, проверка права на работу в США происходит после найма

Location: London, England, United Kingdom 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. THE ROLE You’ll build and deploy customer translation and localization workflows, lead technical discovery and demos, guide onboarding, and support renewals by demonstrating value and resolving technical blockers. This is a hands-on engineering role with substantial customer-facing responsibility. You’ll focus on enterprise workflows in learning and development (L&D), websites, and marketing. WHAT YOU’LL DO Scope customer needs into technical plans with clear dependencies, acceptance criteria, and measurable outcomes. Build AI workflows using prompts, glossaries, translation memories, and human review to meet customer terminology, brand, and quality requirements. Write and deploy integrations with CMS, DAM, PIM, LMS, and commerce systems, preserving content structure, metadata, and context. Own production readiness: secure data access, testing, error handling, monitoring, quality evaluation, and review routing. Document the solution and agree ongoing ownership. Support customer enablement and adoption with Account teams, measure results against the baseline, and identify valuable follow-on workflows. Turn customer work into reusable connectors, evaluation suites, and deployment patterns, and inform Product and Engineering priorities. EXAMPLE PROJECTS L&D workflows: automate localization of courses, training materials, and learning content, from source files through review and delivery into the customer’s LMS. Website workflows: connect the CMS to translation, review, and publishing so new and updated pages stay current across languages. Marketing workflows: localize campaign assets, emails, and product content, applying brand voice and terminology with market-specific review and approval. Across these workflows, build quality checks and human review routing that meet customer requirements. WHAT YOU BRING A record of shipping software, integrations, or automation for enterprise customers; demonstrated ability matters more than a specific degree or years of experience. Hands-on coding skills across APIs, authentication, webhooks, data transformation, version control, testing, and debugging. Experience building AI workflows and evaluating quality, reliability, latency, and cost, including failure handling and human review. Clear communication with technical and business stakeholders, and the judgment to scope ambiguous requests, explain tradeoffs, and manage expectations. Ownership through deployment, documentation, customer enablement, and adoption. Practical use of AI in your own engineering work. Localization or translation technology experience is valuable; curiosity about the domain is essential. Willingness to travel up to 40% 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.

Задачи: — Общаться с бизнес-заказчиками и пользователями, выявлять реальные проблемы и переводить их в технические задачи. — Проводить discovery и анализировать процессы AS-IS / TO-BE. — Формализовывать требования к внутренним сервисам, AI/Data-решениям, CRM, BI и интеграциям. — Описывать ТЗ и функциональные требования, User Story, BPMN, CJM, sequence-диаграммы и критерии приёмки. — Прорабатывать требования к данным: определять источники, необходимые поля, правила расчётов, периодичность обновления и проверки качества. — Работать с SQL и данными для проверки гипотез, сверки результатов и анализа работы решений. — Проектировать и описывать интеграции через REST API, webhooks и внешние сервисы; работать с Postman и Swagger/OpenAPI. — Формировать и вести backlog инициатив, декомпозировать решения на задачи для разработки и определять приоритеты. — Взаимодействовать с разработчиками, аналитиками и другими участниками команды на всём цикле реализации. — Проводить функциональное тестирование, принимать реализованные задачи и сопровождать внедрение. — Участвовать в запуске AI/Data-проектов: скоринг, прогнозирование, аналитика, автоматизация процессов, LLM/AI-ассистенты и другие прикладные решения. — Оценивать не только технический результат, но и эффект решения для бизнеса: снижение ручного труда, скорость процессов, качество работы, конверсию, retention и другие продуктовые показатели. Требования: — Опыт работы системным аналитиком, solution engineer, техническим аналитиком или специалистом по внедрению от 4 лет. — Опыт самостоятельного ведения сложных задач от discovery и сбора требований до внедрения решения в production. — Умение работать с неоднозначными бизнес-задачами, где готового технического задания изначально нет. — Хорошее понимание интеграций и клиент-серверного взаимодействия. — Практический опыт работы с REST API, webhooks, JSON, Postman, Swagger/OpenAPI. — Уверенный SQL и понимание принципов работы с данными. — Опыт описания AS-IS / TO-BE, BPMN, User Story, функциональных требований и критериев приёмки. — Опыт работы с Jira / Confluence или аналогичными инструментами. — Умение разговаривать как с бизнесом и руководителями, так и с техническими специалистами. — Способность самостоятельно структурировать проблему, предлагать варианты решения и доводить договорённости до результата. Будет большим плюсом: — Опыт реализации AI/ML/LLM-проектов в production. — Опыт работы с CRM, BI, Data-платформами или системами автоматизации. — Знакомство с Kafka и event-driven интеграциями. — Опыт работы с n8n или другими automation/low-code инструментами. — Знакомство с Python. — Опыт работы с Superset, ELK, Trino или аналогичными инструментами. — Опыт взаимодействия с ML/Data Science-командами. — Опыт проектов, где можно показать конкретный измеримый эффект после внедрения. Условия: — Возможность удалённой работы. — Полный рабочий день. — Конкурентная заработная плата по итогам собеседования. — Спорт вместе с компанией, возможность заниматься спортом с командой. — Участие в стратегически важных проектах по цифровой трансформации крупных игроков рынка.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team, focused on using Claude to speed up protein and small-molecule design. You'll work with research partners to apply modern design and structure models to real discovery problems, and build the agents and skills that turn those tools into end-to-end workflows. This role is about applying design models, not building new ones. Responsibilities Work with research partners on protein and molecular design end-to-end with Claude, from advising, to prototyping, to writing production code. Work in a design–make–test loop with wet-lab partners (e.g. antibody-repertoire mining, MD prep / trajectory analysis at proteome scale) and turn the expert steps into reusable agents/skills. Build agents and skills that wrap design and structure tools into end-to-end workflows. Support research efforts aimed at better understanding the protein sequence-to-function relationship Help partners measure where AI speeds up their design cycles, and where it doesn't. Drive product, engineering and research direction from field experience, e.g. benchmarks and evals for design and structure tasks (capabilities and safety). Scale your impact to the long tail of labs through reusable skills, cookbooks and docs. Be an ambassador for Claude in molecular design, from small settings to large conferences. You Might Be a Good Fit If You Have Hands-on experience applying protein or small-molecule design to real drug development programs, in an AI-first biotech, pharma, a rare-disease non-profit, a research institute, or a translational academic design lab. Experience with molecular dynamics (system prep, trajectory analysis) or large-scale antibody/immune-repertoire data, and with closing the loop against experimental results from a partner lab. Hands-on use of modern design and structure tools (e.g. AlphaFold, RFdiffusion, ProteinMPNN, Rosetta) to solve design problems, not only to build new models. Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure its performance. Deep understanding on how to quantitatively measure success in drug design, experimentally and computationally. A scientist's instinct for understanding how AI can, and cannot, facilitate protein research and design Experience working directly with external customers or partners in a technical role. Clear written and verbal communication: docs partners can use without you, and talks that earn researchers' trust. A scrappy mentality: comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end to end, from statement of work (SOW) through production deployment. As a Manager of Technical Deployment in EMEA, you lead a team of TDLs embedded with strategic customers. You own engagement portfolio health across your team, set the bar for delivery quality, and define where we play: which customers and which use cases are ready for production AI today. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the region. This role is based in London. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in front of executive sponsors. You will also lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. Responsibilities Hire, develop, and retain a team of TDLs embedded in engagements across EMEA. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interview loop that holds that bar. Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room. Define the delivery strategy for your portfolio: which kinds of companies we engage, which use cases we prioritize, and how that differs by market and industry. Hold each TDL accountable for a clear account strategy: what we want to achieve with the customer and the exit gates that tell us we got there. Own portfolio health across your team. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team. Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic with senior business, risk, legal, and engineering leaders. Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes. Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from SOW through production deployment. Set the bar for delivery excellence: SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story. Build regulatory requirements into how the team scopes and delivers, working with Legal, Security, and customer risk functions, so compliance shapes the plan from the start rather than blocking it late. Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale, and adapt global playbooks to EMEA markets. Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on EMEA go-to-market materials, reference cases, and positioning. Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and feed the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes. Bring the field back to Anthropic. Surface delivery lessons and emerging use cases from EMEA to Product and Research, and represent the region in leadership discussions. Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments. Travel to customer sites across EMEA (25–50% expected), with occasional travel to the US. You May Be a Good Fit If You Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher and moved into deployments, with at least 3 years directly managing people who owned delivery outcomes. Have a track record of building and leading technical delivery teams in enterprise environments across more than one EMEA market, ideally including embedded or forward-deployed teams working at client sites. Have delivered AI/ML or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Bring depth in at least one industry (e.g., financial services, healthcare and life sciences). You understand how security, compliance, and regulatory review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering. Know the EMEA enterprise landscape: how buying and procurement differ across markets, and how regulatory requirements affect what customers can deploy. Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement. Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage. Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team. Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Working proficiency in a second European language such as German or French is a plus. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £190,000 — £230,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hyderabad, Telangana, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Forward-Deployed AI Engineer — Enterprise AI Location: Hyderabad, India Experience Level: 8+ years Work Model: Hybrid, 3 days per week in office Employment Type: Full Time Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders. You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be exactly the challenge you’re looking for. As a Forward-Deployed Engineer, You Will Find the Problem Worth Solving Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive. Build Beyond the Frontier Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale. Own the Outcome You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost. The Anti-Sell High ownership and intensity: This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges. Client-first and hybrid: This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available. You’ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one. Our Forward-Deployed Engineers Typically Have Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure. Hands-on agentic AI experience: Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows. Strong retrieval depth: Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality. End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost. Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives. Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Bengaluru, Karnataka, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Forward-Deployed AI Engineer — Enterprise AI Location: Bengaluru, India Experience Level: 8+ years Work Model: Hybrid, 3 days per week in office Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders. You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be exactly the challenge you’re looking for. As a Forward-Deployed Engineer, You Will Find the Problem Worth Solving Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive. Build Beyond the Frontier Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale. Own the Outcome You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost. The Anti-Sell High ownership and intensity: This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges. Client-first and hybrid: This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available. You’ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one. Our Forward-Deployed Engineers Typically Have Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure. Hands-on agentic AI experience: Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows. Strong retrieval depth: Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality. End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost. Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives. Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Distributed 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 Location - Germany Role Summary As a Forward Deployed Engineer (FDE) at Cloudflare, you will serve as a senior technical expert and advisor for our most strategic and complex customers. This role balances deep technical expertise with hands-on, onsite engagement, where you will architect solutions, optimize performance, and drive business success by helping customers maximize the value of Cloudflare’s platform. You will collaborate cross-functionally with Sales, Support, Product, and Engineering to advocate for customer needs and influence our product roadmap. We are looking for a seasoned technologist who thrives on solving real-world challenges and acting as a trusted advisor within our customers' unique environments. Role Responsibilities Serve as a trusted advisor to key enterprise customers, providing strategic recommendations and technical insights to drive success with Cloudflare’s solutions, specifically Workers and Workers AI platforms. Lead architectural discussions, design sessions, and solution reviews to ensure the optimal application of Cloudflare’s offerings in customer environments. Diagnose complex technical issues and deliver effective, strategic solutions in close collaboration with support and product teams. Manage and navigate complex configurations, utilizing Infrastructure as Code (Terraform) to ensure operational stability for customers. Partner with Sales, Customer Success, Support, Partners, Product Management, and Engineering to ensure customer insights directly influence the product roadmap and enhance the overall experience. Advise customers on industry best practices for security, network optimization, scalability, and performance tuning tailored to their specific operational needs. Stay current with industry trends and evolving Cloudflare solutions to provide forward-thinking guidance and configuration enhancements. Role Requirements (Must-Have Skills) In Depth Experience in a technical customer-facing role such as Solutions Architect or Technical Account Manager, ideally within cloud networking, security, or web infrastructure. Extensive knowledge of Cloudflare’s Application and Security portfolio (DNS, WAF, DDoS, Bot Management, CDN) and cloud infrastructure. Hands-on experience protecting and securing web applications, APIs, and web services using WAF, DDoS, DNS, and Bot Management tools. Proven ability to work with Cloudflare products within Enterprise-level accounts. Exceptional written and verbal communication skills, with the ability to present complex topics effectively to both technical and non-technical audiences. Strong consultative skills with a track record of successfully solving complex technical problems in customer environments. Ability to translate customer requirements into practical, scalable solutions that align with Cloudflare’s technology stack. Nice-to-Have Skills Hands-on experience with coding, Cloudflare Workers, and Workers AI. Prior experience in customer onsite placement. Compensation For Germany based hires: Estimated annual salary is between €123,000 - €169,000. 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. 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, AMER Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We’re looking for a OrioleDB Deployment Engineer to join our OrioleDB Team and help elevate our OrioleDB offering. You’ll work closely with the OrioleDB team, playing an instrumental role in technical decision-making and refining internal methodologies. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR - Package software into our supabase/postgres repo using Nix (with flakes), and help us transition our packaging from traditional to Nix packaging more over time. - Manage OrioleDB release lifecycles, ensuring timely major, minor, and extension upgrades. - Expand platform release systems to allow developers to increasingly self-service. - Optimize CI/CD and tooling, specifically expanding GitHub Actions, team tooling, and testing/release approaches. - Resolve production issues by proactively identifying and fixing problems in customer deployments. - Maintain best practices and tests to ensure enhanced stability and decreased deployment risks. - co-owning the integration of OrioleDB into the supabase product YOU MIGHT BE A GOOD FIT IF YOU - Have 3+ years of experience with PostgreSQL and its ecosystem, including extensions and performance optimization. - Are an Infrastructure Expert with proven experience in management, tooling, and optimization. - Are proficient in the Nix package management system (including flakes) alongside Ansible, Packer, Docker, QEMU/KVM, AWS, and Kubernetes. - Have experience building for multiple architectures, specifically Linux and Darwin/macOS aarch64 targets. - Are comfortable with polyglot environments, including builds for C/C++, Go, JavaScript, and Rust-based projects. - Communicate clearly across both technical and non-technical audiences, especially when interacting with customers. - Have experience in async or globally distributed teams and value independent, proactive problem-solving. - Are willing to mentor, taking on responsibility for teaching the engineering team to use and contribute to our Nix-based work. - Have experience with integration of emerging features into widely used managed hosted product platforms WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - 200+ team members - 40+ countries - 15+ languages spoken - $496M raised - 430,000+ community members - 30,000+ memes posted (and counting) We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Singapore; Melbourne; Sydney Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. WHAT YOU WILL DO As an AI Deployment Strategist, AI4Eng for Physics and Engineering in APAC, you are Mistral's forward-deployed operator on strategic enterprise accounts across automotive, aerospace, semiconductors, industrial equipment, and energy. You own the delivery of AI solutions for physics and engineering challenges end-to-end. Discovery, Scoping & Solution Design: - Run technical discovery sessions to understand business and engineering requirements. - Identify, qualify, and prioritize use cases aligned with the customer's strategic R&D and product-development challenges. - Translate business goals into a concrete AI roadmap and high-level solution architecture, validating feasibility with Product and Applied AI teams. - Build ROI models and business value propositions, and own scoping documents and SOW inputs. Delivery & Program Management - Own end-to-end delivery: discovery → design → build → deploy → adoption. - Set up the account operating model: governance, decision forums, and cadence. - Drive day-to-day execution: priorities, milestones, unblockers, and risk management. - Drive scope control and change management, ensuring the right artifacts are produced (design doc, runbook, eval plan, rollout plan, handover). - Bring knowledge of processes and regulations from the industries we serve (aerospace, semiconductor, automotive, industrial equipment, energy). Adoption, Value Realization & Expansion - Lead user testing, training, change management, and developer enablement. - Track value realization against agreed KPIs and report to executive sponsors. - Capture field learnings and feed product gaps and platform needs back to Product, Science, and Engineering. ABOUT YOU - Advanced university degree in physics or engineering, or IT. - 5+ years of experience as a (technical) project manager in a relevant industry, e.g., automotive, semiconductors, or aerospace. - Experience in software development, machine learning, and ideally in numerical simulations for physics and engineering (CAE, CFD, FEM, DEM, etc.). - Hands-on coding proficiency (Python at minimum), with the ability to read design docs and hold your own in deep technical conversations with data scientists, ML engineers, and simulation engineers. - Strong grasp of where AI creates value in computational science: surrogate models, PDE solvers, FEM/CFD acceleration, inverse problems, and differentiable simulation. - Familiarity with deployment patterns (SaaS, VPC, on-prem, hybrid), security and compliance basics, and ideally agile project management methodologies. - Strong communication skills with the ability to explain complex technical concepts in simple terms and to manage C-level stakeholders. We are looking for adaptable team players who excel in a fast-paced environment, are ready to own delivery across APAC accounts, and are prepared to support pre-sales motions to contribute to our shared goals and growth. INTERVIEW PROCESS - Talent Acquisition screening call (30 min) - 30 min Hiring Manager Interview - 45 min Technical Interview (physics, simulation, and AI deep dive) - 45 min Business Acumen Interview - Panel (Customer Meeting Role-Play & Use Case Scoping Exercise, 1h) - 30 min Value Talk - Reference check WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Capacity Deployment Lead within Anthropic's Data Center Operations (DCO) organization, you will support and scale how we bring new compute capacity online across a growing fleet of partner-operated data centers. Deployment runs from construction kickoff to ready for service (RFS). You are engaged during planning and construction, and on-site and hands-on from EFA through infrastructure delivery and receiving, integration QA, power-on and network turn-up, burn-in and validation, and acceptance. You work with hardware vendors and operations partners for completion of each CU (capacity unit) with a structured handover into production operations and the maintenance program. The scope is compute: accelerator systems, racks, and the infrastructure around them - at the sites in service today and the ones coming online behind them. This is a program and execution role. You will work with the Global Capacity Delivery Program Lead and the broader Data Center Operations organization, to extend its coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on via boots-on-the-ground for each site in preparation for and during delivery, deployment, QA, and close-out, and your authority comes from being there. Working with vendors and partners, you set direction, priorities, and standards for execution, and you prove results with Anthropic-owned data rather than self-reported status. What you learn at one site - what worked, what slipped, what should become standard - becomes the playbook for the next wave. If you have delivered data center hardware at scale, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: Own deployment outcomes for your assigned sites and data-hall waves: CUs and hall ready-for-service dates met, with exceptions closed out, or risk called early enough for leadership to act. Engage from construction kickoff and confirm deployment readiness ahead of each wave - floor access, power, network, receiving paths, and partner staffing - working the gaps with the site operations partner and facilities counterparts before racks arrive. Be on site at key points before and during delivery, deployment, QA, and close-out; verify the work with your own eyes rather than from a dashboard, and support the on-site teams with your direct expertise. Work with partner's site leadership to ensure success through rack delivery and receiving, integration QA, power-on and network turn-up, and burn-in and validation, setting daily priorities and quality gates and confirming results against Anthropic-owned ticket and telemetry data. Validate the handover gate for each CU and data hall: acceptance criteria met, burn-in complete, documentation delivered, spares positioned, ticketing live, and a structured handover into production operations and the maintenance program. Turn best practices, optimization, and lessons learned from each deployment into program-wide improvements: procedures, checklists, acceptance standards, and metrics, so the next wave runs faster and cleaner than the last. Extend the deployment program to new sites and platforms, adapting standards and acceptance criteria as the hardware changes. Communicate deployment status, dependencies, constraints, and risk to engineering, capacity planning, the team that owns the overall site schedule, and leadership. You may be a good fit if you: Have 8+ years of experience in data center operations or hardware deployment as a manager, technical lead or related role, including accountability for delivery milestones. Can demonstrate a proven track record leading compute or network hardware deployments at a large scale across multiple sites or data-hall waves, from early floor access through ready for service. Have managed vendors, OEMs, or contract workforces to measurable outcomes: milestones, quality gates, operational reviews, and corrective action. Possess hands-on technical depth in server, network, and rack-level hardware, enough to independently verify deployment quality and audit vendor claims. Have built or substantially improved operational processes. Are comfortable working with schedule, ticket, and telemetry data to drive decisions. Can travel heavily and work on site for extended stretches, including during delivery surges and turn-up windows. 50% Travel expected. Possess a bachelor's degree in relevant domain or equivalent practical experience. It’s a bonus if you have: Experience with GPU/accelerator or high-density liquid-cooled infrastructure, including bring-up of liquid-cooled racks. Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment. Experience deploying more than one accelerator platform, or introducing a new hardware platform into an existing deployment program. Experience delivering deployment outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties. Familiarity with dense accelerator network cabling, optics, and high-speed interconnect at rack and pod scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City Office Workplace: Hybrid COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION As a Enterprise Forward Deployed Engineer, you’ll lead the design, delivery, and ongoing optimization of automation solutions for Tennr’s most complex customers: large-scale health systems, national provider groups, and enterprise partners. This is a highly technical, strategic, and customer-facing role that demands deep domain fluency, executive presence, and strong systems thinking. You’ll own enterprise-scale implementations end-to-end: from pre-sale discovery and business case alignment to go-live and expansion. You’ll act as both a trusted technical advisor and a project lead, working closely with senior customer stakeholders and cross-functional teams at Tennr to ensure lasting success. This role sits within a high-performance implementation pod and directly influences Tennr’s go-to-market and product strategy. RESPONSIBILITIES - Lead end-to-end enterprise implementations, from discovery to post-go-live - Align cross-functional teams and manage project delivery, risks, and change - Conduct operational audits to identify workflow gaps and automation opportunities - Design scalable, configurable solutions using Tennr’s platform and APIs - Reimagine processes with automation best practices, not just replicate legacy systems - Collaborate with Product, Engineering, and Sales to shape solutions and delivery scope - Maintain documentation, enable knowledge transfer, and improve internal delivery tools - Support sales strategy, mentor junior team members, and influence product roadmap QUALIFICATIONS - 6+ years of experience in enterprise SaaS delivery or solution design - A degree or minor in Computer Science, Engineering, or a related technical field is strongly preferred - Strong understanding of APIs, systems integration, and technical architecture - Proven ability to lead complex technical engagements with large enterprise customers - Skilled at communicating technical concepts to both executive and technical audiences - Experience navigating complex org structures and aligning cross-functional stakeholders - Strong problem-solving skills with a focus on strategic, scalable solutions - Business acumen and domain fluency — ideally in healthcare or similarly complex industries - Comfortable with ambiguity and fast-paced, unstructured environments - Demonstrated ability to mentor others and contribute to team-wide best practices - High ownership mindset and urgency — proactive, resourceful, and impact-driven Nice to Haves - Familiarity with workflow automation, RPA, or enterprise integration platforms (e.g., MuleSoft, Workato) - Background in consulting, solution architecture, or technical customer success - Experience in startup environments or scaling delivery functions WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week - Free lunch! Plus a pantry full of snacks. BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer-funded 401(k) match - Competitive parental leave

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: Sydney, Australia About the Role Cloudflare’s Senior Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact. At Cloudflare, we know that great candidates come from diverse backgrounds with non-linear paths. You don’t need to tick every single box to be right for this role. If you are excited about building a better Internet and ready to make an impact, please apply . As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale. You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering. Responsibilities This role is ideal for engineers who want to: Stay deeply technical Work on real production systems Influence product direction Build long-term partnerships with world-class engineering teams Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team. Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform. Technical Accountability : Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account. Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response. Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack. Platform Breadth & Depth : Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability. Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap. Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs). On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment. Desirable Skills, Knowledge, and Experience Proven Engineering Pedigree: 7+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them. Languages: You are experienced with modern languages like TypeScript, Rust, Golang. Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime. Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns. Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure. AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery. Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details. Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives. High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end. Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact. Bonus Points Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform. Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase. A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences. 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.

Databricks, an American IT firm specializing in a unified cloud platform for big data and AI, is seeking Forward Deployed Engineers in Amsterdam and Senior Forward Deployed Engineers in Stockholm. Candidates should have experience with Python, Scala, JavaScript or TypeScript, Apache Spark, and cloud platforms such as AWS, Azure, or GCP. Familiarity with CI/CD pipelines, MLOps, machine learning and AI models, as well as AI APIs, is required. These positions are on-site roles.

Location: Espoo; Warsaw Workplace: Hybrid ROLE HIGHLIGHTS: - Flight Software Deployment Engineer - Location: Warsaw, Poland/ Espoo, Finland - Department: Flight Software Build & Release Team - Reports to: Flight Software Build & Release Team Lead - Employment type: Permanent - Workplace model: Hybrid (3 days in the office) - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: The Build & Release team owns the path from source to flight-ready software across growing satellite constellations. This role exists because every artifact that reaches satellites in orbit must be reproducible, traceable, and verifiable. A bad update is not a simple rollback, it could mean a satellite becomes at risk. This is not a generic SRE or DevOps role, the production environment is composed of satellites flying 500 km above our heads, and the software artifacts are cross-compiled embedded binaries. The role is in the realm of half build engineering and half embedded Linux development, you need to be willing to work at both ends. Satellites are treated to OTA updates regularly which our team must make sure are built and deployed the right way, utilizing software development best practices. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   - Hands on software engineering of our satellite on-board updating system, built to deploy software and firmware updates: features, maintenance, tests and documentation. - Contribute to the build layer across the flight software domain, so every repository is built, versioned and packaged the same way. - Enforce immutable releases and harden the packaging and signing pipelines: least-privilege permissions, pinned workflows and dependencies, approvals, and proper signing key management. - Work with the Linux platform team on how updates land on the satellite on-board computers, covering packaging format, filesystem layout and access control, making sure what we build installs cleanly and safely. WHAT WE’RE LOOKING FOR Must haves: - Embedded software engineering experience, with hands-on embedded Linux development: cross-compilation for ARM or similar targets, kernel configuration, device tree overlays, root filesystem and image construction. - Production CI/CD experience for compiled artifacts, not only containers or web deployments. GitHub Actions specifically is required, and workflow hardening experience is valuable. - Working proficiency in C and C++ build environments, and in Python and Bash for automation. - Experience implementing release integrity controls, immutable artifacts storage. Signing key management, PKI and trust chains, AWS object-lock storage and cloud key management are all valuable here. - Shipping software to embedded devices already in the field with a package-based update mechanism, ideally opkg, under controlled release processes, quality gates and formal sign-of Nice to haves: - Command of CMake, including multi-repository setups, toolchain files, and shared build infrastructure that other teams consume. Buildroot experience is relevant here. APPLICATION PROCESS - Conversation with talent acquisition (~30 min). - Screening with the hiring manager (~60 min). - Technical test - take home task to be completed in 3 to 5 working days. - Technical deep-dive (~90 min). - On-site office visit & director interview (~60 min). WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As part of Anthropic’s Global Safety, Intelligence, and Security (GSIS) team, the Security Technology Deployment Engineer will own the validation, standardization, and deployment of physical security technology across Anthropic’s rapidly expanding global office portfolio. This role bridges the gap between technology selection and production-ready operation — ensuring that every security platform deployed is rigorously tested, properly integrated with enterprise infrastructure, fully documented, and built for scale. You’ll define the installation standards, configuration baselines, and deployment processes that the broader team executes against — from access control migrations and intercom replacements to AI analytics onboarding and new application integrations. You’ll work across InfoSec, IT, Networking, and Identity Management to ensure every security application passes review, integrates with SSO, and is supported within Anthropic’s infrastructure before going live. Your work will directly determine whether Anthropic’s security technology stack scales reliably as the company grows from dozens of locations to a global enterprise footprint. Responsibilities: Validate and deploy new and replacement security technology platforms including access control systems, intercom solutions, video management, visitor management, and AI/analytics tools across all Anthropic locations Build and maintain staging environments for pre-production testing and validation of all security applications, hardware, firmware, and system configurations Define installation standards, configuration baselines, licensing structures, update procedures, and maintenance requirements for every deployed security platform Deploy integrations between security applications, validating that platforms communicate and share data correctly before transitioning to production Support colleagues’ security applications through InfoSec review processes, ensuring new tools meet Anthropic’s information security and compliance requirements Coordinate SSO integration for newly deployed security applications with Identity Management and IT teams Transition applications requiring custom integration or data pipeline development to the IT Engineering team with documented technical requirements for roadmap inclusion Initiate onboarding of deployed hardware and systems into Anthropic’s health monitoring platform to ensure operational visibility from day one Develop standardized deployment playbooks, checklists, configuration templates, and handoff documentation that enable repeatable installations across all current and future sites Evaluate security platforms for scalability, identifying capacity constraints, single points of failure, and architectural limitations before they impact operations at scale Coordinate with Networking, IT Infrastructure, and Facilities teams to ensure all infrastructure prerequisites (network, power, rack space, cloud resources) are met prior to deployment Execute structured handoffs to Project Management (for site programming), Break-Fix Support (for maintenance), and Access Control Administration (for ongoing system management), ensuring each team has the standards and documentation to execute independently You may be a good fit if you: Have 5+ years of hands-on experience deploying, validating, and managing enterprise physical security technology across a large or rapidly growing organization Have deployed security technology across 50 or more sites, or have demonstrated experience in a high-growth environment where deployment velocity and repeatability were essential Have built standardized deployment processes, playbooks, and configuration templates that enabled others to execute installations independently and consistently Have experience working across InfoSec, IT, Networking, and Identity Management teams to onboard and integrate security applications into enterprise environments Have supported SSO integration, InfoSec reviews, and enterprise application onboarding workflows for security tools Possess broad technology experience across access control, video management, intercoms, visitor management, AI/analytics, and alarm monitoring platforms Are a strong technical communicator who can define standards clearly enough that PMs, integrators, and service teams execute against them without ambiguity Have experience with IP networking, VLANs, PoE, and infrastructure requirements for security devices Are comfortable with 25% travel for site deployments, commissioning, and validation Strong candidates may have: Previous experience at a hyper-growth technology company or managing security technology programs for high-profile corporate environments Experience with Anthropic’s specific technology stack: Genetec Security Center, Axis cameras, Wavelynx, Commend Symphony Cloud, Alcatraz.ai , Ambient.ai , SureView, Envoy Industry certifications: Genetec, Axis, CCNA, PSP, CPP, or PMP Experience with OSDP, modern credential technologies, and encryption protocols for physical security systems Familiarity with scripting or automation (Python, PowerShell) for configuration management and deployment automation Experience with health monitoring and observability platforms Knowledge of SOC 2 compliance, GDPR, and physical security compliance frameworks Experience with change management, configuration control, and version-controlled infrastructure documentation Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.