Вакансии

Задачи: — Ручное тестирование игр на платформах Android и iOS (функциональное, регрессионное, интеграционное, исследовательское, нагрузочное); — Создание и поддержка тестовой документации: чек-листы, тест-кейсы, ведение QA документации; — Поиск, документирование и контроль багов (работа с Jira, TestRail и их аналогами); — Анализ гейм-дизайн документации и ТЗ на предмет нелогичностей и нечеткости; — Работа с конфигурационными файлами внутри Unity и тестирование in-engine; — Взаимодействие с разработчиками, геймдизайнерами и продуктовой командой для улучшения качества продукта; — Тестирование серверной части и интеграций с аналитическими системами (Firebase, Appsflyer и аналоги); — Работа с эмуляторами и реальными устройствами, сбор и анализ логов (ADB, logcat, Xcode и аналоги); — Анализ и улучшение существующих процессов тестирования; — Участие в планировании тестирования и оценке качества продукта на различных стадиях разработки; — Заведение баг-репортов на основе пользовательских отзывов. Требования: — Опыт работы QA-инженером в игровой индустрии; — Знание теории тестирования и умение применять на практике; — Опыт работы с Unity, умение ориентироваться в структуре проекта и настраивать конфигурационные файлы; — Понимание особенностей тестирования мобильных игр и особенностей платформ Android и iOS; — Внимательность к деталям, умение находить дефекты в логике, геймплее, интерфейсе; — Способность воспроизводить и изолировать ошибки; — Умение структурировано описывать баги с подробными шагами воспроизведения; — Навыки планирования рабочего процесса и расстановки приоритетов; — Опыт работы с системами Test Management System и таск-трекерами; — Навыки работы с инструментами: Android Studio, ADB, logcat, Postman, Swagger, CI/CD; — Умение собирать и анализировать логи; — Уровень английского B2+ (чтение и написание технической документации).

Задачи: — Настройка и сопровождение CI/CD для мобильных приложений (iOS/Android). — Подготовка деплой-пакетов и конфигураций, создание и поддержка Helm-чартов, Kubernetes-манифестов, стандартизация конфигураций. — Управление секретами, сертификатами и переменными окружения. — Управление инфраструктурой как код (IaC), разработка и поддержка Terraform-модулей, Ansible-ролей для развертывания и настройки инфраструктуры (bare-metal, cloud, виртуализация). — Администрирование платформ оркестрации, установка, настройка и эксплуатация Kubernetes-кластеров (в том числе управление узлами, сетевыми политиками, storage, обновлениями). — Настройка наблюдаемости (observability): реализация сбора метрик, логирования и трассировки; настройка мониторинга (Prometheus/Victoria Metrics), алертинга (Alertmanager), визуализации (Grafana); обеспечение выполнения SLO/SLA. — Обеспечение безопасности инфраструктуры: контроль доступа (RBAC, network policies), управление секретами, настройка политик безопасности подов, сканирование уязвимостей образов и конфигураций; участие в DevSecOps-практиках. — Подготовка эксплуатационной документации и реагирование на инциденты: разработка runbook, процедур восстановления, участие в устранении инцидентов и постмортемах; поддержка готовности сервисов к продуктивной эксплуатации. — Оптимизация ресурсов и надежности: мониторинг утилизации ресурсов, планирование емкости, оптимизация затрат (cost management) для облачных и on-prem решений; поддержка регулярных релизов и обновлений. — Взаимодействие с командами разработки: консультирование по DevOps-практикам, совместная работа над архитектурой приложений, внедрение стандартов и инструментов, повышение культуры автоматизации. — Участие в архитектурных решениях и планировании: оценка новых технологий, проектирование инфраструктуры, участие в формировании требований к доступности и производительности, декомпозиция технических задач. Требования: — Опыт разработки и поддержки CI/CD пайплайнов для мобильных приложений (iOS/Android) от 2 лет. — Желательно знание Fastlane (автоматизация сборки, подписи, публикации), а также Jenkins, GitLab CI. — Уверенное владение процессом код-подписи и управления сертификатами для iOS (Apple Developer, provisioning profiles, p12, mobileprovision) и Android (keystore, Google Play Signing). — Опыт публикации приложений в App Store и Google Play Console (создание релизов, управление треками, TestFlight, внутреннее/открытое тестирование, метаданные). — Знание мобильных платформ и инструментов сборки: Xcode, xcodebuild, swift, objc, cocoapods, carthage; Android Studio, Gradle, adb, подписи. — Опыт работы с системами мониторинга мобильных приложений (Crashlytics, Sentry, App Center) и настройка алертов по ошибкам, падениям, производительности. — Практический опыт с Infrastructure as Code (Terraform, Ansible) для автоматизации развертывания мобильных билд-ферм (Mac mini, агенты) и сопутствующей инфраструктуры. — Понимание подходов DevSecOps для мобильных приложений: кода (ProGuard, R8, DexGuard), безопасности библиотек, секретами (API-ключи, токены) через HashiCorp Vault или аналоги. — Знание Git, работа с ветвлением, стратегии управления релизами (GitFlow, GitHub Flow), тегирование версий приложений (semver). Желательные навыки: — Опыт внедрения канареечных релизов для мобильных приложений (например, поэтапный rollout в Google Play, TestFlight для ограниченной аудитории). — Знание контейнеризации (Docker) для изоляции среды сборки и тестов. — Опыт настройки автоматического тестирования мобильных приложений (Unit, UI, интеграционные тесты, запуск на эмуляторах/симуляторах в CI). — Знание SQL/NoSQL баз данных (для отладки бэкенд-интеграций). — Опыт работы с Kafka или другими брокерами сообщений (для событийной аналитики). — Навыки написания runbook и документации, участие в постмортемах инцидентов. — Базовое знание Kubernetes (для понимания среды запуска бэкенд-сервисов).

Обязанности: — ведение социальных сетей в соответствии с концепцией бренда — съемка контента и обработка фото/видео от мастеров и администраторов Требования: — опыт аналогичной работы (не обязательно в бьюти) — интерес к бьюти сфере и желание узнавать и погружаться в атмосферу бьюти — развитый эстетический интеллект, креативное мышление, вкус — наличие портфолио и готовность показать свои предыдущие и текущие проекты — владение навыками фото и видео съемки, монтажа, современными техниками обработки контента, навыки пользования ии — грамотная речь и письмо Условия: — гибкий график по договорённости (удаленная работа+периодические выезды в салон для погружения в среду, знакомства с командой, фото и видео съемки) — выплата заработной платы два раза в месяц (без задержек, работаем 8 лет, большая команда как подтверждение надежности и нашей ответственности), наш смм-менеджер с нами 7 лет — заработную плату обсуждаем на собеседовании и фиксируем письменно, никаких сюрпризов и сложных схем, стабильный оклад — преимущественно рассматриваем кандидатов, которые проживают недалеко от московских филиалов — в сопроводительном письме укажите ссылки на свои соц.сети, проекты, которые вели и периоды работы, опишите обязанности

Задачи: — разрабатывать и реализовывать SMM-стратегию; — разработать визуальную концепцию, сформировать контент-план и рубрикатор; — придумывать концепции Reels, Stories, постов и специальных проектов; — организовывать съёмки и самостоятельно создавать часть контента; — работать с мастерами и командой, раскрывая их экспертизу через контент; — следить за визуальной целостностью аккаунта и развитием стиля бренда; — создавать контент, который не только красиво выглядит, но и приводит новых гостей и стимулирует записи; — анализировать статистику, отслеживать динамику показателей и корректировать контент-стратегию; — следить за трендами в beauty и социальных сетях и адаптировать их под эстетику 11/22; — взаимодействовать с фотографами, видеографами, дизайнерами и другими подрядчиками при необходимости. Требования: — опыт в SMM от 3 лет; — подтверждённый опыт работы именно с beauty-проектами и понимание особенностей продвижения в этой сфере; — портфолио с реальными кейсами и результаты своей работы; — умение работать с премиальным сегментом и понимание его отличий от массового; — визуальный вкус и насмотренность; — умение самостоятельно снимать и монтировать качественный контент; — грамотное написание текстов, соответствующих характеру бренда; — способность самостоятельно генерировать идеи, а не ждать подробного ТЗ; — понимание связи между контентом, брендингом, охватами и реальными бизнес-результатами. Условия: — свобода в реализации идей; — качественный продукт; — сильная команда; — пространство для создания красивого контента.

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Where models actually differ now is robustness across accents, noise, and code-switching; speaker diarization; the naturalness of generated speech; and latency under streaming. Measuring those honestly, and building the data that trains for them, is gated as much by data and evaluation design as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing speech and audio models, and we are hiring a Research Scientist to own the science behind it. You will partner directly with the customers and frontier labs building ASR, text-to-speech, speech-to-speech and conversational voice, diarization, and audio-language models, as interested in the data behind them as in the models themselves. Your work is judgment: which conditions and languages a benchmark must cover to be honest, what a transcription convention should be for a given objective, and when an automated metric can be trusted versus when a human ear is required. You will also partner closely with our transcription and linguistics lead, whose standards directly shape what the models learn. What You’ll Own: You will define how Innodata designs, structures, and evaluates audio data for speech and audio models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of speech and audio models — ASR, text-to-speech and speech generation, speech-to-speech and conversational voice, speaker diarization and verification, audio-language models, and streaming systems — into concrete data specifications: modalities, transcription and annotation schemas, sampling, and evaluation criteria. Build evaluation methodology that goes past word error rate — semantic accuracy, robustness to noise and accent, code-switching, diarization error rate (DER), naturalness and intelligibility of generated speech, and streaming latency — and know when automated metrics hold and when they don't. Decide how existing and incoming audio should be structured, enriched, and sampled for coverage that fits the model objective — across languages, accents, and acoustic conditions (studio, real-world, telephonic), speaker demographics, emotional and paralinguistic range, scripted versus spontaneous speech, and single- versus multi-speaker settings, including low-resource and code-switched speech. Partner with the transcription and linguistics lead to turn model objectives into transcription specifications, and to quantify how transcription conventions and quality move ASR and speech-model results. Partner with the audio solutions and engineering team so the audio we collect is built for the model objective: you specify what good data and evaluation require, and they scope programs with customers and capture audio to spec. Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement. Design adversarial and stumping evaluations — noisy, accented, and adversarial audio — that surface where speech systems fail, and turn those failures into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Work with annotation teams, subject-matter experts, and the synthetic- and augmented-audio pipeline to turn specifications into operational plans. You’ll Thrive in This Role If You Have: Roughly 5+ years of hands-on industry experience in speech or audio ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end. A Bachelor's degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated speech or audio models yourself — ASR, TTS, speech-to-speech, speaker, or audio-language models — with strong PyTorch fundamentals. Fluency in the toolchains and metrics speech work runs on: ESPnet, NeMo, SpeechBrain, or Kaldi, HuggingFace, forced alignment, and WER/CER and the metrics that go beyond them. Hands-on experience with multilingual, accented, dialectal, low-resource, or code-switched speech, and with synthetic or augmented audio (TTS pipelines, noise and room-response simulation). A way of thinking in datasets: you have built evaluation sets, reasoned about coverage across conditions, and argued about what makes speech data good for a given objective. A track record the field recognizes: first-author publications or strong open-source contributions at venues such as Interspeech, ICASSP, ASRU, SLT, or NeurIPS. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — for example spoofing and voice-cloning robustness, or bias across accents and languages. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Product, Engineering & Data teams are Voodoo's central tech hub. We build innovative tech products that allow us to stay ahead of the game in the mobile industry. Part of our focus is to provide a state of the art growth-engine to distribute and scale our apps & games. By joining the team, you will take part in this journey of designing and building long-term products which help our business teams in delivering values to millions of future users! Some examples of our products include our B2B platform used by hundreds of studios around the world to ideate and test their game prototypes, as well as an automated bidding platform that predicts the full value users will generate using state of the art ML algorithms. ROLE As the Product Manager - Advertising Solutions, you will play a crucial role in the growth and success of our direct advertising capabilities. Your primary focus will be to optimize and expand our ad solutions, driving revenue while maintaining a seamless experience for our players and advertisers. You will be responsible for growing our mobile gaming vertical from the end-to-end strategy to the development and execution, collaborating closely with cross-functional teams to ensure we meet our business goals. Role is based in our Paris headquarters with 1-2 remote days per week possible. - Drive  and own product vision and roadmap, guide feature prioritization and scope, in concert with cross functional teams. - Develop iteratively, working with our growth and tech teams (Developers, Product Managers and Data Analysts) to ideate, measure impact, and learn from previous releases to inform the roadmap. - Dig in the technical aspect together with your tech team to understand tradeoffs and make informed design decisions. - Daily involvement in project development and product delivery (you will be both the product owner and the product manager). - Analyze and interpret ad solutions performance data to identify trends, opportunities, and areas for improvement. - Establish and maintain relationships with key external partners, including MMPs, ad exchanges, and mediation platforms. PROFILE - Proven experience of 5+ years as a Product Manager, with 3+ years in Adtech. - Familiar with Bidder, DSP, SSP, ad exchanges, MMPs and ad servers - Great communicator and a team player, who likes to drive results together. - A problem-solver by nature – inventive thinker that will provide insightful, innovative solutions to any problem. - Good tech culture and technical knowledge (you’re familiar with APIs, frontend and backend components) for someone who doesn’t code. - You are fluent in English, French is a plus - Interest in gaming. BENEFITS - Competitive salary upon experience - Comprehensive relocation package (including visa support) - Swile restaurant lunch voucher - Gymlib sports subscription (100% taken in charge by us) - Sidecare healthcare coverage for your family - Child day care facilities (Les Petits Chaperons rouge) - Wellness activities in our Paris office - Creative hackathon - Unlimited vacation policy - Full stack desk and computer equipment upon your request - Cooperate within a globally diverse team and a rich cross-cultural work environment

Location: Guildford Workplace: onsite With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Lead Sound Designer to join the team and help us in crafting the high calibre games our fans have come to expect. Responsibilities Execute the Creative Sound Design Vision Lead, support and train the Sound Design Team Distribute tasks to the Sound Design Team Review and sign-off tasks for the Sound Design Team Support to develop the Creative Sound Design Vision Manage the collaboration with our outsourcing partners Collaborate closely with and report to the Head of Audio Collaborate closely with the Audio Leadership team Communicate with Stakeholders, Producers and Feature Teams Requirements Full project loop as a Senior Sound Designer or Sound Design Lead on a AAA title, ideally in medium/large teams Lead experience within Sound Design teams Proficiency in Jira Proficient in building up, maintaining and delivering a Sound Design Vision Solid understanding of the Game Audio pipeline from Asset to Soundscape Profound mastering of Wwise Profound general audio production knowledge: how assets are created, mixed and mastered This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity Nice to Haves Worked on an RPG Proficient knowledge of Foley and Field recordings Good understanding of script systems to create customized scalable automated solutions Basic knowledge in programming (C# / C++) What we offer An international team of over 500 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel An open, collaborative environment where ideas are welcome and encouraged A managerial team consisting of highly experienced game developers at the top of their fields Sharing hobbies and passions with like-minded colleagues Inclusive environment with many activities organized by the studios or the employees Commitment to making the best game possible for the fans, including listening to community feedback

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We're looking for a passionate Product Designer to join our team and help shape the tools of the future. You should be a motivated self-starter with experience partnering with engineering teams and shipping real products. In this role, you'll work closely with product, engineering, and research to have a meaningful impact on Runway's design direction and future. WHAT YOU’LL DO - Lead design projects, including new features and improvements to our mobile and web platforms - Produce, iterate, and prototype concepts for creative workflows - Collaborate closely with the engineering and product teams to suggest product and process improvements - Contribute to maintaining visual and user experience consistency across our products WHAT YOU’LL NEED - Experience designing flows, prototypes and high-fidelity UI's for web products and strong visual design skills - Understanding of modern web technologies, web interactions, and usability standards - Experience delivering and iterating fast in close collaboration with engineering, product, and data teams - Ability and flexibility to iterate fast and often - Comfortable picking up unfamiliar parts of the product rather than waiting to be assigned only what you already know - Knowledge and understanding of the creative tool space - Bonus points if you have experience with creating functional prototypes using AI tools (Claude Code, Cursor, etc.) - At Runway, it’s always a bonus if you have artistic and creative potential (particularly skills with video/audio editing, icon/typography design, Illustration, etc.) Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Berlin Our Story Founded in 2009, we’re one of the world’s leading game studios, and proud of our extremely international team, consisting of more than 50 different nations. We are part of Playtika and the global leader in the category of Hidden Object Games. With June’s Journey, we’re providing joy for millions of players around the world every day. How we work Our aim is to keep doing so for many more years, if not decades. In order to be able to do so, we’ve defined a distinct way of how we’re working at Wooga, so that all relevant aspects intertwine and have a positive impact on the game. No matter if you’re part of a game team or support the success of Wooga as part of a central team, all 250+ employees from around the world can make an impact. We’re proud of the environment we’ve built, and believe you’ll enjoy working with some of the best people in the industry. Our drivers: Speed, Focus, Ownership, and Impact, guide our working style at Wooga and help us make a deliberate choice to focus on what is important to us, while working towards a shared goal. These drivers shape how we work together and what we expect from ourselves and our leaders. As a Mid-level Marketing Data Analyst, you will analyze large-scale data across user acquisition touchpoints in order to generate insightful metrics, custom dashboards, and deep-dive analyses to measure marketing performance. Our marketing teams aim for best-in-class user acquisition strategies, bringing high-quality players to our games while driving innovation around performance marketing and targeted campaigns. We're looking for a passionate, results-oriented talent to join our team, develop new insights to shape data-driven decisions, continuously improve marketing efficiency, and help drive business growth for years to come. About the job Design, build, and maintain automated, interactive dashboards in Tableau to give the Marketing team up-to-date visibility into performance and KPIs. Dive deep into large-scale marketing data to identify key insights that will inform user acquisition strategies and business growth. Help define how best to measure and monitor our marketing channels, creatives, budget allocation, and overall campaign performance. Help to develop an analysis strategy and perform analysis of complex campaigns and A/B tests, both systematically and on a one-off basis. Provide data-driven recommendations to help Marketing Managers optimize their campaigns across various channels (e.g., Facebook Audience Network, Snapchat, TikTok). Partner with Data Engineering on data gathering and signal sharing, integrating 3rd-party data providers (e.g., AppsFlyer, Kochava), democratizing data with reporting tools, AI Agents, and innovating workflows. Communicate actionable results and data-driven findings across the organization clearly and concisely. About you You have recent experience in a data analyst role, preferably in digital advertising, performance marketing, or the app industry. You have experience with (app) Attribution Services (eg: AppsFlyer or Kochava). Literacy on Agentic Workflows, and other productivity and modern self-service data innovations. You can use SQL effectively within an enterprise data environment and you have a good understanding of commonly applied statistical techniques. Basic understanding of programming is not required, but is appreciated. You have strong experience using Tableau (or similar) to build interactive dashboards and visualizations. You have good problem-solving skills and can look for logical connections between marketing spend, consumer behavior, and data. You have a deep understanding of the digital advertising market,including communication patterns as they relate to consumer marketing. You are in tune with user acquisition patterns, and you understand mobile app growth. You know your way around designing, communicating, visualizing, or reporting your results/analysis so they are clear and unambiguous to both technical and non-technical audiences. Please note: Research has shown that some under-represented groups in the gaming industry (eg: women) tend to apply only if they meet every single requirement. Here at Wooga, the desire to learn and the willingness to solve problems are more important to us than your experience on paper. We encourage you to apply even if you do not think that you tick all the boxes - thinking outside of such boxes and embracing the diversity of mindsets and backgrounds is what we believe makes our teams thrive. Our Promise Shape the future! Challenge the status quo and team up with a diverse group of experts (over 50 nationalities!) working on crafting the world’s best games. We offer a generous relocation package and home search support if you are not already located in Berlin. Did we mention that we also cooperate with Kindergartens? Make use of a significant education budget and extra days off for self-development. Join our meet-ups, talks, brown bag lunches, internal trainings, workshops and many others. Enjoy the pilates, mindfulness app, sports and transport subsidies. And a Purpose Day to donate your time to a worthy cause! Did you know that German is the third most commonly taught language worldwide? Learn it too! We offer German language classes for you and your significant other. With our hybrid work model you will work in the office with your teams twice a week, to encourage in-person collaboration and team bonding. The other three days you can choose if you want to work from home or from the office. We also offer 10 days a year to work from abroad. At Wooga we are committed to providing a friendly, safe and welcoming environment for everyone who works here or with us, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, religion (or lack thereof) and game preferences. Be yourself, we like you that way! By clicking “Submit Application” you acknowledge that you have read our Candidate Privacy Policy

Location: Vilnius Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in data platforms (Lambda, S3) Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders Experience with mentoring or supporting analysts Fluent English What additional skills will help you stand out? Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs) Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar) Experience with finance or revenue data (reconciliation, reporting-grade accuracy) Background in gaming, mobile apps or other consumer product analytics Familiarity with marketing and attribution data (AppsFlyer) or product telemetry dbt certification Work mode Hybrid (3 days of work from the office) This role isn't eligible for relocation & immigration support. The salary range for this role in Vilnius is EUR 4000-6500 monthly gross. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Vilnius include: Additional paid time off Sick Leave Compensation Pregnancy and Childbirth Leave Benefit Career development and education opportunities within the company Meal Allowance Premium Private Health Care Mental well-being program (iFeel) Perks discounts platform (over 450 exclusive discounts) Personal Gaming Account Coffee, fruits, and snacks in the office Company events Seniority Awards Referral program - You can recommend the best talents to the company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

О компании Мы компания-разработчик экосистемы Directum. Наши решения помогают комплексно управлять крупными компаниями на всех уровнях: от стратегических целей до конкретных задач на местах. Более 3500 компаний используют наши решения. Чем предстоит заниматься Разрабатывать решение Directum Projects для организации командной работы, планирования проектов и ресурсов, управления базами знаний. Наше решение заменяет Asana, Jira, Trello, Confluence, MS Project. Основные инструменты и технологии Backend: ASP.Net Core. Frontend: TypeScript, React, WebPack. Работа с данными: MS SQL Server, PostgreSQL. Инструменты разработки: MS Visual Studio, VS Code. Инфраструктура: Docker, Docker-compose, Python. Работа с задачами и кодом: Gitlab, Git. Команда не ограничена в выборе технологий. Использует те, которые лучше всего подходят для решения конкретной задачи. Ожидания от кандидата Опыт разработки на React от 5 лет. Базовый опыт backend-разработки на C#. Опыт разработки трехзвенных приложений и оптимизации клиентской и серверной части. Умение быстро изучать новые технологии и применять их на проекте. Приветствуется Опыт работы по Agile. Опыт работы с ORM — NHibernate или Entity Framework. Опыт работы в соответствии с Continuous Integration. Почему к нам стоит идти Работа в команде профессионалов. Для каждого из нас, программирование не только работа, но и главное увлечение в жизни. Наставничество. Для новичков у нас есть обучающие программы, помогающие лучше узнать нашу систему и без стресса погрузиться в работу. Возможность развития. Собираем свои митапы, выступаем на крупных ИТ-конференциях, проводим мозговые штурмы и инженерные дни. Выделяем рабочее время на внутреннее обучение. Команда отвечает за фичи. Разработчики сами определяют сроки реализации, архитектуру и способы выполнения задач. Выделяется время на исследование и прототипирование. Заботимся о качестве кода. Выделяем время на рефакторинг, техдолг, code review, анализ производительности. Гибкий график и нет переработок. Мы уважаем личное время своих сотрудников. Заработная плата обсуждается индивидуально. Мы аккредитованная ИТ-компания, возможна бронь/отсрочка при соблюдении необходимых условий Минцифры.

В онлайн-школу Tim Shtok Sound Studio ищем руководителя отдела продаж с опытом управления многоуровневыми отделами продаж в онлайн-школе. Задачи: — Формировать структуру отделов продаж, управлять наймом, адаптацией и обучением руководителей направлений, лид-менеджеров и менеджеров отдела продаж. — Координировать работу тимлидов, проводить регулярные планерки, синхронизировать цели между продуктовыми направлениями. — Обеспечивать выполнение общих планов продаж и KPI по всем направлениям (вебинары, автовебинары, базы). — Контролировать конверсии на каждом этапе многоуровневой воронки, включая эффективность передачи лидов. — Управлять и контролировать соблюдение единых стандартов работы отдела продаж. — Управлять дебиторской задолженностью, рассрочками, минимизировать возвраты за счет качественной работы менеджеров. — Рассчитывать и оптимизировать системы оплаты для разных уровней и ролей специалистов в отделе продаж. — Поддерживать взаимодействие с другими отделами, предоставлять обратную связь от отдела продаж в маркетинг и продуктовый отдел для доработки и создания новых курсов. Требования: — Опыт в роли руководителя отдела продаж в онлайн-школах от 5 лет. — Опыт управления многоуровневыми структурами, разделенными на функции и/или продуктовые направления. — Опыт управления продажами образовательных продуктов в твердых нишах, например, обучение профессии. — Умение продавать продукты, которые требуют от ученика усилий и дают измеримый результат. — Аналитический склад ума, техническая и финансовая грамотность. — Проактивность, внутренняя дисциплина, ориентация на достижение результата. Условия: — Удаленная занятость 5/2, с 10:00 до 19:00 по МСК. — Для кандидатов из другого часового пояса возможен сдвиг на 1-2 часа при сохранении пересечения с командой и участия в общих встречах. — Совокупный доход от 200 тыс. рублей, конкретные условия обсуждаются индивидуально. — Выстроенный поток целевого трафика с вебинаров и автовебинаров, фокус на управлении конверсией и командой. — Возможность оптимизировать и выстроить процессы в масштабной матричной структуре продаж, внедрять свои идеи и напрямую влиять на прибыль. — Работа в связке с командой маркетинга, продюсеров и продуктологов. — Отсутствие бюрократии и быстрый цикл принятия решений. — Бесплатный доступ ко всем образовательным продуктам школы.

Требования: — 2+ года опыта работы BI-аналитиком, аналитиком данных или на аналогичной аналитической должности — владение Google BigQuery, Advanced SQL, Python, Looker Studio, Tableau, Power BI — свободное владение английским языком О компании: SEARADAR — европейская платформа для аренды яхт, которая помогает яхтсменам находить и бронировать парусные яхты и катамараны в более чем 20 направлениях. Размер команды — 50+ человек.

Location: Prague Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in data platforms (Lambda, S3) Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders Experience with mentoring or supporting analysts Fluent English What additional skills will help you stand out? Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs) Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar) Experience with finance or revenue data (reconciliation, reporting-grade accuracy) Background in gaming, mobile apps or other consumer product analytics Familiarity with marketing and attribution data (AppsFlyer) or product telemetry dbt certification Work mode Hybrid (3 days of work from the office) This role isn't eligible for relocation & immigration support. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Prague include: 5 weeks of Annual Leave per calendar year Additional paid time off Sick Leave Compensation, Maternity & Paternity Leave Benefits Career development and education opportunities within the company Meal card contribution Public transportation allowance Premium private healthcare Mental well-being program (iFeel) Multisport Employee discounts Personal Gaming Account Coffee, fruits, and snacks in the office Company events Seniority Awards Referral program - You can recommend the best talents to the company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Belgrade Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in data platforms (Lambda, S3) Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders Experience with mentoring or supporting analysts Fluent English What additional skills will help you stand out? Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs) Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar) Experience with finance or revenue data (reconciliation, reporting-grade accuracy) Background in gaming, mobile apps or other consumer product analytics Familiarity with marketing and attribution data (AppsFlyer) or product telemetry dbt certification Work mode Hybrid (3 days of work from the office) This role isn't eligible for relocation & immigration support. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include: Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave Compensation, Maternity Leave Benefits Premium Private Health Insurance Career development and education opportunities within the company English clubs and platform for learning languages Mental well-being program (iFeel) Commuting allowance Company events FitPass membership Discounts for employees Personal Gaming Account Coffee, fruits, and snacks in the office On-site canteen with subsidized prices for food and drinks Seniority Awards Referral program - you can recommend the best talents to the Company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Nicosia Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in data platforms (Lambda, S3) Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders Experience with mentoring or supporting analysts Fluent English What additional skills will help you stand out? Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs) Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar) Experience with finance or revenue data (reconciliation, reporting-grade accuracy) Background in gaming, mobile apps or other consumer product analytics Familiarity with marketing and attribution data (AppsFlyer) or product telemetry dbt certification Work mode Hybrid (3 days of work from the office) This role isn't eligible for relocation & immigration support. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include: 21 days annual leave (additional days based on years of service: up to 25 days) Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave (10 days top-up to statutory allowance per year) Maternity Leave (18 weeks top-up to statutory allowance per case) Career development and education opportunities within the company English Language courses fully covered by the company upon Manager’s approval Private Health Care Mental well-being program (iFeel) Onsite gym and spa Free parking close to the Nicosia offices, based on availability Free drinks-equipped kitchen in every floor building Eurobank benefits (if applicable) Employee discounts (e.g. restaurants, bars, etc.) Personal Gaming Account Onsite canteen with subsidized prices for food and drinks Company events, Social Clubs Seniority Awards Referral program - You can recommend the best talents to the company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it. You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here. WHAT YOU'LL DO - Own detection and response end to end: what we log, what we alert on, how we triage and how we recover - Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume - Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read - Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit - Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls - Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one - Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find - Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team - Participate in an on-call rotation for security incidents WHAT YOU'LL NEED - Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward - Experience building and tuning detections in a modern SIEM, ideally managed as code - Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs - Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools - Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity - Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job - Judgment about what to alert on, what to automate and when to wake someone up EVEN BETTER IF YOU HAVE - Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets - Experience building detections or guardrails for AI agents, LLM tooling or MCP servers - Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody - Published open source detection content Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it. This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production. WHAT YOU'LL DO - Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run - Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass - Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation - Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them - Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on - Build guardrails for AI agents and developer tooling operating inside our infrastructure - Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change - Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off WHAT YOU'LL NEED - Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised - Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work - Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else - Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts - An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement - Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job - Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company EVEN BETTER IF YOU HAVE - Experience securing GPU or HPC-style compute, training pipelines or research environments - Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar) - Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries - Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments - Open source contributions or published work in cloud or Kubernetes security Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024