Вакансии

Задачи: — Проектирование масштабируемых распределённых backend-систем на Go — Архитектура высоконагруженных распределённых платформ — Внедрение и настройка AI-решений внутри инженерной команды — Поддержка сложных бизнес-операций и быстрого роста продукта — Тесная коллаборация engineering и product-команд Требования: — Опыт разработки на Go от 5+ лет — Опыт работы в руководящей роли 2+ года — Практика внедрения и конфигурации AI-решений в команде — Глубокое понимание системного дизайна для высокопроизводительных систем — Уверенное владение паттернами конкурентности в Go (goroutines, channels, sync primitives) — Опыт работы с CI/CD-инструментами и пайплайнами (GitLab CI, GitHub Actions, Jenkins) — Английский: Advanced и выше Условия: — full-time — Контракт B2B / contractor — Расширенный соцпакет — Доступ к базе знаний Andersen — Компенсация профессиональных сертификаций — Программы менторства — Карьерный рост как эксперта или руководителя

Обязательные требования: — От 3 лет коммерческого опыта разработки на Java — Опыт Senior Developer, Tech Lead или технического лидера — Участие в олимпиадах по программированию — ICPC, IOI, Codeforces или аналогичных соревнованиях — Сильные знания алгоритмов, структур данных и оценки сложности — Глубокое знание Java, Spring Boot и экосистемы Spring — Опыт проектирования микросервисных и распределённых систем — SQL и NoSQL, оптимизация запросов и баз данных — Kafka и/или RabbitMQ — Docker и Kubernetes — CI/CD, мониторинг, логирование и observability — Опыт принятия архитектурных решений и проведения code review Задачи: — Разрабатывать backend-сервисы на Java и Spring Boot — Проектировать микросервисы, интеграции и отказоустойчивые компоненты — Принимать ключевые технические решения — Повышать производительность и стабильность high-load систем — Находить системные узкие места и разбирать production-инциденты — Декомпозировать задачи и участвовать в планировании — Проводить code review и поддерживать инженерные стандарты — Менторить разработчиков и развивать команду — Взаимодействовать с разработчиками, DevOps и аналитиками Будет преимуществом: — Призовые места или выход в финальные этапы олимпиад — Высокий рейтинг на Codeforces, LeetCode или аналогичных платформах — Опыт с DDD и Event-Driven Architecture — Работа с high-load и legacy-системами — Архитектурные ревью и подготовка ADR — Участие в найме и технических интервью — Английский язык B2+

Ищем Media Buyer / Team Lead Buying под Binary Options. Мы — команда, которая стабильно работает с Binary Options: успешно проливаем Индию по CPA и Multi-GEO по RevShare. Сейчас усиливаем buying-направление и ищем сильных специалистов — Media Buyer или Team Lead, независимо от источника трафика: от УБТ до платного трафика. Что даём со своей стороны: ➖крепкую инфраструктуру под залив; ➖анлим бюджеты, если есть результат; ➖гибкие условия оплаты: % от spend или % от profit; ➖собственный production; ➖своих актёров под разные GEO, включая локальных; ➖локальных обработчиков под разные страны; ➖готовность масштабировать рабочие связки и команды. Что ожидаем от вас: ⚫️реальные кейсы за последние 6 месяцев; ⚫️понимание своей работы и умение масштабироваться; ⚫️адекватность в коммуникации; ⚫️желание строить объёмы и зарабатывать действительно хорошие деньги.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role As the Enterprise Account Management Team Lead, you’ll be responsible for leading a team of Account Managers who manage our Enterprise customer base. You’ll balance people leadership with hands-on account management, coaching your team to deliver world-class customer experiences, retain and grow Enterprise accounts, and drive measurable business outcomes. What you’ll be doing – team management: · Lead, mentor, and develop a high-performing team of Enterprise Account Managers. · Drive team performance to achieve renewal, retention, and expansion targets. · Guide your team in developing and executing account plans that promote long-term customer success and revenue growth. · Conduct regular team meetings, deal reviews, and 1:1 coaching sessions to ensure alignment and accountability. · Work cross-functionally with Sales, Services, Product, and Marketing to enhance the customer journey and operational processes. · Analyse account health, identify risk indicators, and implement proactive strategies to mitigate churn. · Report on team KPIs and business metrics, providing insights and recommendations to senior leadership. · Contribute to process improvements, playbook development, and scalable strategies for managing mid-market accounts. What you’ll be doing – account management: · Manage a select portfolio of strategic accounts to model best-in-class customer engagement. · Build and execute Customer Success Plans (CSPs) with clear outcomes, milestones, stakeholders and value hypotheses. · Quantify, track and communicate value realisation (ROI/business impact), preparing and presenting goals, KPIs and commercial narratives to executive sponsors and C-suite stakeholders. · Develop a deep understanding of each customer’s priorities, operating model, systems landscape, and roadmap, using this to shape account strategy and unlock expansion. · Run proactive account governance (e.g., EBRs/QBRs), ensuring adoption, stakeholder engagement and action plans stay on track. · Monitor customer health and engagement to identify risk early, lead retention plans, and mobilise internal teams to protect and grow revenue. · Identify, qualify and progress upsell/cross-sell opportunities, building business cases, aligning stakeholders, and partnering with AEs/founders where needed to close. · Lead renewals end-to-end: timeline management, commercial negotiation support, stakeholder alignment, and forecasting accuracy. · Triage technical and non-technical issues with urgency and strong judgement, coordinating the right internal resources while keeping customers informed and confident. · Be the voice of the customer internally: capture product feedback, influence prioritisation with evidence, and manage expectations on deliverables and timelines. · Stay close to market trends and the competitive landscape, contributing to strategic initiatives that improve our commercial approach and customer outcomes. What you’ll bring You've spent meaningful time in account management within B2B SaaS and you understand how enterprise renewals and expansions actually get done. You're comfortable owning a commercial number and have competent experience of having pricing conversations. · 5+ years of experience in Account Management in a B2B SaaS or technology-driven company. · Minimum of 1-2 years of experience leading a team. · A proven record of achieving or surpassing renewal and expansion targets. · Exceptional communication, coaching, and relationship-building skills. · Strong analytical and problem-solving abilities; comfortable working with data to guide decisions. · Experience using HubSpot CRM is highly desirable. · Must have experience with MEDDIC. · A proactive, collaborative approach and the ability to influence cross-functional teams. · Passion for developing people, improving processes, and delivering exceptional customer value. What we offer in return 💰 Competitive salary depending on experience + 30% commission 🏝️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days 🏡 Hybrid working with two days a week from our dog-friendly Hoxton office 💪 On-site gym and cycle to work scheme 🛍️ Employee discount at over 100 retailers 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role As the Enterprise CS/Account Management Team Lead, you’ll be responsible for leading a team of Account Managers who manage our Enterprise customer base. You’ll balance people leadership with hands-on account management, coaching your team to deliver world-class customer experiences, retain and grow Enterprise accounts, and drive measurable business outcomes. What you’ll be doing – team management: · Lead, mentor, and develop a high-performing team of Enterprise Account Managers. · Drive team performance to achieve renewal, retention, and expansion targets. · Guide your team in developing and executing account plans that promote long-term customer success and revenue growth. · Conduct regular team meetings, deal reviews, and 1:1 coaching sessions to ensure alignment and accountability. · Work cross-functionally with Sales, Services, Product, and Marketing to enhance the customer journey and operational processes. · Analyse account health, identify risk indicators, and implement proactive strategies to mitigate churn. · Report on team KPIs and business metrics, providing insights and recommendations to senior leadership. · Contribute to process improvements, playbook development, and scalable strategies for managing mid-market accounts. What you’ll be doing – account management: · Manage a select portfolio of strategic accounts to model best-in-class customer engagement. · Build and execute Customer Success Plans (CSPs) with clear outcomes, milestones, stakeholders and value hypotheses. · Quantify, track and communicate value realisation (ROI/business impact), preparing and presenting goals, KPIs and commercial narratives to executive sponsors and C-suite stakeholders. · Develop a deep understanding of each customer’s priorities, operating model, systems landscape, and roadmap, using this to shape account strategy and unlock expansion. · Run proactive account governance (e.g., EBRs/QBRs), ensuring adoption, stakeholder engagement and action plans stay on track. · Monitor customer health and engagement to identify risk early, lead retention plans, and mobilise internal teams to protect and grow revenue. · Identify, qualify and progress upsell/cross-sell opportunities, building business cases, aligning stakeholders, and partnering with AEs/founders where needed to close. · Lead renewals end-to-end: timeline management, commercial negotiation support, stakeholder alignment, and forecasting accuracy. · Triage technical and non-technical issues with urgency and strong judgement, coordinating the right internal resources while keeping customers informed and confident. · Be the voice of the customer internally: capture product feedback, influence prioritisation with evidence, and manage expectations on deliverables and timelines. · Stay close to market trends and the competitive landscape, contributing to strategic initiatives that improve our commercial approach and customer outcomes. What you’ll bring You've spent meaningful time in account management within B2B SaaS and you understand how enterprise renewals and expansions actually get done. You're comfortable owning a commercial number and have competent experience of having pricing conversations. · 5+ years of experience in Account Management in a B2B SaaS or technology-driven company. · Minimum of 1-2 years of experience leading a team. · A proven record of achieving or surpassing renewal and expansion targets. · Exceptional communication, coaching, and relationship-building skills. · Strong analytical and problem-solving abilities; comfortable working with data to guide decisions. · Experience using HubSpot CRM is highly desirable. · Must have experience with MEDDIC. · A proactive, collaborative approach and the ability to influence cross-functional teams. · Passion for developing people, improving processes, and delivering exceptional customer value. What we offer in return 💰 Competitive salary depending on experience + commission 🏝️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days 🏡 Hybrid working with two days a week from our dog-friendly Hoxton office 💪 On-site gym and cycle to work scheme 🛍️ Employee discount at over 100 retailers 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

Задачи: — Руководство и наставничество в команде Data Science Требования: — Опыт работы в Data Science не менее 5 лет, предпочтительно в мобильных потребительских продуктах — Глубокие знания в области монетизации рекламы, оптимизации доходов или аналитики рекламы — Опыт работы с системами рекомендаций, персонализации или ранжирования — Продвинутые навыки Python и SQL — Экспертиза в машинном обучении, предиктивном моделировании, прогнозировании и прикладной статистике — Опыт работы с большими поведенческими наборами данных — Опыт руководства или наставничества в командах Data Science — Родной русский язык Будет преимуществом: — Знание и опыт работы с AdMob, AppLovin, Unity Ads, ironSource — Опыт с MLOps и облачными платформами AWS, GCP, Azure — Знания в области LLMs и генеративного ИИ

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is building and deploying large-scale AI infrastructure across multiple data centers. Our Hardware Deployment Engineering team is responsible for the technical bring-up, validation, troubleshooting and handover of new GPU, compute and storage infrastructure. We are looking for a Hardware Deployment Engineering Team Lead to manage and develop the Deployment Engineering team across EMEA. This is a hands-on technical leadership role that combines people management, capacity planning, project coordination and infrastructure engineering. You will lead engineers working across new data center launches and expansion projects. You will also serve as the primary point of contact between Deployment Engineering, project management, Data Center Operations and other engineering teams & will report to the Head of Hardware Delivery and Deployment. This position is based at our headquarters in Amsterdam, the Netherlands. Remote work is not available for this role. Regular travel to data centers across EMEA will be required Your responsibilities will include: Lead the Deployment Engineering team Manage a team of Deployment Engineers across EMEA. Hold regular 1:1s, provide feedback, set expectations, and support engineers in their development. Assign responsibilities and make sure engineers have clear ownership during deployments. Identify skill gaps and build technical depth within the team. Support hiring, onboarding, and performance management as the team grows. Remove blockers for engineers and escalate organizational or technical issues when necessary. Own deployment engineering planning Represent Deployment Engineering in project planning and synchronization meetings for new data center launches. Understand upcoming deployment milestones and translate them into engineering resource requirements. Plan engineer allocation across multiple parallel projects and deployment phases. Make sure the right technical expertise is available for hardware bring-up, testing, troubleshooting, and acceptance. Identify resource conflicts and delivery risks early rather than reacting to them during deployment. Maintain a clear view of team capacity, project priorities, travel requirements, and upcoming workload. Drive technical execution Ensure deployment testing and hardware bring-up are executed consistently and to the required quality level. Support engineers with complex hardware, firmware, Linux, and systems troubleshooting. Step into critical technical issues when deeper investigation or coordination is required. Drive problems toward a clearly identified failure domain, root cause, or actionable escalation. Coordinate with R&D, DC Operations, vendors, ODMs, and other engineering teams when issues cross organizational boundaries. Make sure deployment findings result in fixes, documentation, tooling, or process improvements rather than remaining one-off solutions. Improve how we deploy infrastructure Build repeatable deployment processes, standards, checklists, and troubleshooting practices. Improve the quality and predictability of hardware testing and acceptance. Identify recurring deployment problems and drive systemic fixes upstream into factory, hardware, firmware, tooling, or operational processes. Improve handover from Deployment Engineering to steady-state operations. Help develop automation and tooling that reduce manual work and increase deployment scale. We expect you to have: Strong experience with server hardware, data center infrastructure, or large-scale systems deployment. Experience leading engineers, either as a formal people manager or as a strong technical/team lead with clear ownership for other engineers. Ability to plan resources and coordinate engineering work across several projects running in parallel. Strong ownership mindset and the ability to operate in environments where procedures are incomplete and problems are not yet well understood. Ability to challenge assumptions, investigate beyond the immediate symptom, and drive issues to resolution. Strong communication skills and the ability to work effectively with project managers, engineering teams, operations, and external vendors. Comfortable working directly in data centers and traveling across EMEA when required. It will be an added bonus if you have: Linux troubleshooting skills and a solid understanding of modern server architecture. Experience diagnosing hardware and infrastructure problems across components such as CPU, memory, NVMe, PCIe, NICs, BMC, BIOS, and firmware. Experience deploying GPU or AI infrastructure at scale. Experience with large server fleets or hyper-scale environments. Experience working with ODMs or server vendors during production, deployment, or failure investigation. Experience with automated hardware validation or fleet-level testing. Experience building a deployment, infrastructure, SRE, hardware reliability, or similar engineering team. What success looks like You will not be measured by how many individual servers you personally troubleshoot or deploy. Success means that Deployment Engineering operates as a reliable function: projects know when and how to engage the team, engineers are assigned to the right work, technical problems are driven to resolution, deployment risks are visible early, engineers are developing, and new infrastructure can move from delivery to operational readiness predictably. You will be the person the Head of Hardware Delivery and Deployment can rely on to run the EMEA Deployment Engineering function day to day, while also continuously improving how the team operates and scales. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — Руководство командой копирайтеров/редакторов; — Оценка качества текста; — Обеспечение соблюдения сроков; — Реализация контент-стратегии, разработанной главным редактором; — Самостоятельное редактирование важных текстов. Требования: — Глубокое знание индустрии iGaming; — Безупречное владение английским языком; — Умение работать самостоятельно, следуя внутренним руководствам по стилю и тону; — Знание SEO и GEO (необязательно, но ценно); — Опыт составления контент-планов и написания брифов для авторов и дизайнеров; — 1+ год опыта руководства командой авторов/копирайтеров/редакторов; — 3+ года опыта работы редактором. Условия: — Конкурентоспособная заработная плата; — Оплачиваемый больничный; — Оплачиваемый отпуск.

Проект: Raft AI4BI — платформа, объединяющая BI, DWH и AI-аналитику, позволяющая пользователям задавать вопросы к данным на естественном языке и получать аналитику и визуализации. Продукт используется крупными заказчиками в ритейле, финансах, производстве и других отраслях. О роли: Руководитель проектов внедрения, ответственный за результат проекта целиком. Задачи включают погружение в задачи и данные заказчика, проектирование решений, постановку задач разработчику и DevOps, самостоятельную работу с данными и ведение проекта до внедрения. Важна работа по развитию клиента после запуска решения: изучение потребностей, подключение дополнительных источников данных, развитие витрин и дашбордов, запуск новых аналитических сценариев, подключение других подразделений и тиражирование решения. Задачи: — Проводить исследование процессов, систем и данных заказчика. — Разбираться в бизнес-задачах и переводить их в технические решения. — Проектировать аналитические решения и модели данных. — Ставить задачи разработчику и DevOps, контролировать результат. — Самостоятельно анализировать данные, проектировать модели и проверять технические решения. — Вести проект от старта до эксплуатации: сроки, риски, коммуникация и результат. — Быстро собирать POC с использованием AI-инструментов. — Быстро прототипировать решения с использованием Claude, Cursor и других AI-инструментов. — Находить возможности для дальнейшего развития проекта и формировать предложения для клиента. Требования: — Ответственность за результат и способность доводить проект до работающего решения. — Самостоятельность и инициативность, умение двигать задачи вперёд без постоянного контроля. — Способность быстро разобраться в новой и неопределённой задаче. — Уверенная коммуникация с заказчиком. — Умение видеть дополнительные потребности клиента и предлагать варианты развития проекта. — Уверенный SQL — ключевой навык. — Понимание моделирования данных и принципов построения аналитических решений. — Python на уровне, достаточном для работы с данными. — Понимание интеграций и взаимодействия различных систем. — Опыт ведения небольших проектов внедрения или технических проектов с самостоятельным системным анализом и постановкой задач. — Опыт работы с Claude / Cursor или аналогичными AI-инструментами. Будет плюсом: — Опыт с BI/DWH, Apache Superset, API, ETL/ELT, Kafka/RabbitMQ. Отбор: — Интервью с рекрутером. — Тестовое задание и обсуждение результатов. — Техническое интервью по SQL, работе с данными, моделированию и системному анализу. — Финальное интервью по управлению проектами, коммуникации с заказчиками и командой. Условия: — Работа с реальными внедрениями AI/BI-решений и крупными заказчиками. — Возможность влиять на проект целиком — от обследования и проектирования до внедрения и дальнейшего развития клиента. — Команда сильных технических специалистов и возможность быстро расти в AI и работе с данными. — Полный рабочий день с гибким графиком. — Заработная плата до 200 000 рублей.

Задачи: — управление полным циклом разработки моделей и ML-решений от постановки задачи до передачи на мониторинг; — формирование бэклога проектов; — генерация подходящих ML-решений для задач бизнеса; — формирование бизнес-технических моделей и технических заданий смежным стримам и командам.

Мы развиваем зрелый продукт, которому 13 лет. У него есть большая пользовательская база, данные, работающая экономика и партнерское направление, которое уже доказало свою жизнеспособность. Сейчас ищем Product Lead, который найдет следующий этап роста партнерского направления. Партнеры используют платформу для хранения файлов и монетизируют аудиторию через продажу премиум-доступов. Модель работает, но приток новых партнеров снизился. Нужно понять, почему это произошло и где главный рычаг роста: продукт, условия партнерской программы, привлечение или их комбинация. Это не роль хранителя roadmap. Нужен человек, который умеет находить точки роста в уже сложившейся системе и превращать их в бизнес-результат. Задачи: — Исследовать рынок, поведение партнеров и причины изменения трафика. — Искать и проверять способы привлечения новых партнеров. — Развивать партнерскую платформу вместе с разработкой. — Формулировать и проверять продуктовые, коммерческие и операционные гипотезы. — Пересматривать механику и условия партнерской программы. — Считать ROI, unit-экономику, риски и ожидаемый эффект инициатив. — Определять, во что стоит вкладываться, а что нужно останавливать. — Масштабировать работающие механики и передавать их команде. Требования: — Опыт управления и развития партнерского B2B-направления/продукта. — Умение работать с неопределённостью: формулировать гипотезы, обосновывать ожидаемый эффект, проверять их и останавливать неподтверждённые инициативы. — Опыт принятия решений на основе продуктовых данных и финансовых расчётов: ROI, unit экономика, прогноз эффекта. — Опыт переговоров с партнёрами или клиентами. — Умение самостоятельно определять приоритеты и доводить инициативы до результата. — Опыт взаимодействия с разработкой, аналитикой и другими кросс-функциональными командами. Условия: — Удаленный формат работы из любой точки мира (но без экстремальных часовых поясов). — Компенсацию затрат на медицинские расходы. — Компенсацию затрат на спорт. — Возможность расти в интересном продукте. — Минимум бюрократии, фокус на результат. — Отличную команду.

Задачи: — Руководить командой Computer Vision Engineers — Проектировать архитектуру production AI-систем — Менторить инженеров и проводить code review — Декомпозировать задачи и контролировать качество реализации — Разрабатывать пайплайны обработки десятков и сотен RTSP-потоков — Оптимизировать инференс на GPU и CPU — Принимать ключевые технические решения — Участвовать в найме и развитии AI-команды Основной стек: Python, PyTorch, OpenCV, YOLO, RTSP, GStreamer, NVIDIA DeepStream, TensorRT, Triton Inference Server, ONNX, OpenVINO, CUDA, FastAPI/gRPC, Docker и Kubernetes. Что важно: ✅ Сильный коммерческий опыт в Computer Vision и Video Analytics ✅ Опыт технического лидерства или менторства ✅ Запуск production AI-систем ✅ Уверенное знание Python, PyTorch, OpenCV и YOLO ✅ Практический опыт с RTSP, GStreamer, DeepStream и TensorRT ✅ Оптимизация моделей через ONNX, TensorRT, OpenVINO, CUDA или Quantization ✅ Понимание высоконагруженной обработки видеопотоков ✅ Умение принимать и аргументировать архитектурные решения Будет плюсом: ➕ Triton Inference Server ➕ C++ и CUDA ➕ Kafka и потоковая обработка данных ➕ MLflow и MLOps ➕ ViT, DETR, Swin и Video Transformers ➕ VLM, RAG, LangGraph, vLLM и Function Calling ➕ Опыт найма и формирования AI-команд Предлагаем влияние на архитектуру и технологический стек, сильную инженерную команду и работу над высоконагруженной системой промышленного уровня.

Typeform is a form builder helping over 150,000 businesses collect data with forms, surveys, and quizzes. The company is fully remote and hires candidates based in the UK, Ireland, Germany, Portugal, or The Netherlands. Product Operations is central to how Product and R&D teams work, creating systems and practices to focus on solving the right problems and delivering products. AI is increasingly important, with teams experimenting with tools like Glean and Claude, automations, agents, and AI usage throughout product development. The role of AI Product Operations Lead involves building and operating internal AI Operations capability for R&D. It requires turning ambiguous opportunities into reliable solutions by identifying high-value AI problems, understanding workflows, designing solutions, building or coordinating delivery, and being accountable for performance after launch. Responsibilities include: — Building and improving a backlog of AI opportunities across R&D, prioritizing impactful AI jobs. — Taking ambiguous problems from discovery to delivery: understanding users and workflows, exploring options, designing systems, implementing, testing, documenting, launching, measuring, and improving. — Designing simple AI-native solutions fitting naturally into workflows, deciding when prompts, automations, integrations, agents, databases, or custom apps are appropriate. — Helping R&D get value from enterprise AI tools like Glean and Claude, partnering with IT and InfoSec on access, configuration, connectors, enablement, and support. — Owning the lifecycle of AI systems including automations, skills, agents, and internal web apps. — Establishing evaluation, testing, reliability, observability, security, and maintenance practices, improving systems over time. — Partnering across R&D to uncover needs, unblock delivery, clarify ownership, and involve experts. — Running and evolving R&D AI governance and enablement practices, providing leaders visibility into work, risks, adoption, and outcomes. — Participating in broader AI governance efforts as an R&D contributor. — Working with Finance and partners to improve visibility into AI tool usage, spend, and value to inform investments. — Exploring and supporting autonomous agents to improve planning, discovery, design, build, evaluation, and management across product development. Requirements: — Strong practical experience applying AI to real-world problems, building usable solutions. — Proven track record taking ambiguous problems from discovery through implementation, testing, adoption, and improvement. — Excellent systems thinking to understand people, processes, tools, data flows, integrations, permissions, and constraints, making trade-offs. — Strong user and workflow discovery skills to understand real jobs and simplify solutions. — Hands-on technical fluency building, modifying, troubleshooting internal workflows, automations, agents, or apps. — Practical experience with modern development tools like GitHub, repositories, pull requests, application hosting, deployment, logging, and troubleshooting. — Ability to manage work independently: prioritizing backlog, handling dependencies and risks, documenting decisions, communicating with stakeholders. — Strong approach to evaluation and reliability, defining "good", testing, collecting feedback, and improving live systems. — Ability to work effectively across technical and non-technical teams, asking questions, challenging assumptions, seeking expert input, and progressing without close supervision. — Good judgment on responsible AI, security, access, governance, and knowing when to involve partners. The role reports to VP of Product Operations and collaborates with Product, Engineering, Design, Research, Data Science, IT, InfoSec, and AI practitioners across Typeform.

В данной роли предстоит руководить несколькими командами тестирования, распределять приоритеты задач и следить за их выполнением. В обязанности входит участие в планировании и оценке сроков тестирования в рамках релизов, а также внедрение метрик для отслеживания прогресса и анализа результатов с целью повышения эффективности работы команд. Необходимо измерять и улучшать покрытие требований автоматизированными тестами, оптимизировать процессы тестирования, а также способствовать развитию и профессиональному росту сотрудников через подбор, обучение и наставничество. Кандидат должен иметь опыт работы QA-инженером не менее 5 лет, из которых минимум 3 года на руководящей должности, обладать глубокими знаниями различных видов, уровней и методологий тестирования, навыками планирования и линейного менеджмента. Важны успешный опыт организации процессов тестирования как ручного, так и автоматизированного, а также развитые организаторские способности, системное мышление, аналитические навыки и внимание к деталям.

Location: Tokyo Workplace: onsite ABOUT YOU We are looking for an Tech lead, APAC who combines strong hands-on technical depth with proven people leadership to join our team supporting Xsolla's core business in the APAC market. The ideal candidate is fluent in both Nihongo and English, comfortable acting as the technical bridge between local partners and our global engineering organization, and experienced leading a small team of engineers across regions. You'll be responsible for understanding and translating local partner requirements into technical solutions, contributing hands-on to web development, and managing and mentoring a small distributed engineering team. This is a role for someone who is equally comfortable in a code review, a partner meeting, and a 1:1 with a direct report. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Serve as the primary technical point of contact for local partners' requests related to Xsolla's core business, translating business and partner needs into clear technical requirements. Design, build, and maintain webpages/web applications supporting local partner and business needs. Manage, mentor, and grow a small team of engineers based in other regions, including performance management, career development, and day-to-day technical guidance. Collaborate closely with regional business, BD, and product stakeholders to ensure technical delivery aligns with partner and market needs. Balance hands-on technical contribution with team leadership responsibilities. Drive best practices in code quality, delivery timelines, and engineering processes across the team. Communicate effectively across both technical and non-technical, and both Nihongo- and English-speaking, stakeholders. Escalate and help resolve technical or partner-facing issues in a timely manner. Qualifications & Skills 10+ years of overall technical/engineering experience. 3+ years of experience managing or leading engineers/engineering teams. Fluent in both Nihongo and English (written and spoken). Proven experience developing and maintaining webpages/web applications. Experience managing distributed or cross-regional teams. Strong communication skills, with the ability to translate between local partner needs and technical execution. Comfortable working directly with local partners on requirements gathering and problem-solving. Nice to Have Experience in adtech or offer monetization platforms (strong plus). Background in payments, gaming, or digital commerce. Experience working with global/cross-functional engineering organizations. The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws including the Act on the Protection of Personal Information (APPI), Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Seoul, South Korea Workplace: onsite ABOUT YOU We are looking for an Tech lead, APAC who combines strong hands-on technical depth with proven people leadership to join our team supporting Xsolla's core business in the APAC market. The ideal candidate is fluent in both Korean and English, comfortable acting as the technical bridge between local partners and our global engineering organization, and experienced leading a small team of engineers across regions. You'll be responsible for understanding and translating local partner requirements into technical solutions, contributing hands-on to web development, and managing and mentoring a small distributed engineering team. This is a role for someone who is equally comfortable in a code review, a partner meeting, and a 1:1 with a direct report. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers reach more players and grow their businesses around the world. Responsibilities Serve as the primary technical point of contact for local partners' requests related to Xsolla's core business, translating business and partner needs into clear technical requirements. Design, build, and maintain webpages/web applications supporting local partner and business needs. Manage, mentor, and grow a small team of engineers based in other regions, including performance management, career development, and day-to-day technical guidance. Collaborate closely with regional business, BD, and product stakeholders to ensure technical delivery aligns with partner and market needs. Balance hands-on technical contribution with team leadership responsibilities. Drive best practices in code quality, delivery timelines, and engineering processes across the team. Communicate effectively across both technical and non-technical, and both Korea Escalate and help resolve technical or partner-facing issues in a timely manner. Qualifications & Skills 10+ years of overall technical/engineering experience. 3+ years of experience managing or leading engineers/engineering teams. Fluent in both Korean and English (written and spoken). Proven experience developing and maintaining webpages/web applications. Experience managing distributed or cross-regional teams. Strong communication skills, with the ability to translate between local partner needs and technical execution. Comfortable working directly with local partners on requirements gathering and problem-solving. Nice to have Experience in adtech or offer monetization platforms (strong plus). Background in payments, gaming, or digital commerce. Experience working with global/cross-functional engineering organizations. The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws including the Act on the Protection of Personal Information (APPI), Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: San Francisco, CA 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's Investor Relations team manages our relationships with shareholders, prospective investors, and the broader financial community, and helps educate investors on Anthropic's mission, strategy, and financial performance. As the Operations Lead for the team, you'll own the administrative and operational backbone that keeps IR running smoothly, from coordinating investor meetings and preparing the team for them to managing the vendors and logistics behind high-profile events and visits. You'll work directly with the Head of Investor Relations and the IR team, and cross-functionally with Finance leadership, Finance & Strategy, Capital Markets, Accounting, Corporate Legal, Communications, and Workplace, to make sure every investor touchpoint reflects well on Anthropic. Because the function is still being built, you will often be creating the process rather than following one. This role suits someone who is highly proactive, thrives on structure, anticipates needs before they arise, and enjoys being the person who makes complex logistics look effortless. Key responsibilities Schedule and coordinate investor calls, meetings, and briefings, managing calendars across multiple stakeholders and time zones, and helping the team prioritize when investor demand exceeds our capacity Partner with internal teams and on-site staff to plan and execute investor events, visits, and other in-person engagements Prepare the team and executives for investor conversations and capturing follow-ups afterward Own vendor relationships for IR-related services, from sourcing through ongoing management of scope, budget, and performance Help the team set agendas and priorities, tracking deliverables and following up to ensure commitments are met on time Maintain and organize IR records, the investor contact database and interaction history, and shared materials so information stays easy to find and current, and help select and run the tools the team uses to track shareholder engagement Serve as a primary point of contact for internal stakeholders and external partners on logistical and administrative questions Build and document the recurring processes a growing IR function needs, from meeting request intake through post-meeting follow-up, and keep improving how the team operates day to day Partner with Corporate Legal and Communications on the handling and review of investor-facing materials, so information moves through the right checks Support ad hoc projects as investor relations priorities evolve Minimum qualifications Experience coordinating complex calendars, meetings, or events across multiple stakeholders Experience managing vendor relationships, including scope, budget, and performance tracking Strong organizational skills, with the ability to juggle multiple priorities and deadlines Excellent written and verbal communication skills Demonstrated judgment handling sensitive, confidential, and market-sensitive information with discretion Comfort operating autonomously in a newly formed team, including building processes and systems that do not exist yet Preferred qualifications Experience supporting an investor relations, capital markets, or finance leadership function, ideally in a company that was growing quickly Familiarity with the needs of external-facing, high-stakes engagements Experience operating in a fast-paced, high-growth company environment A proactive, detail-oriented approach to identifying and solving problems before they become issues Familiarity with investor relations or CRM tools for tracking shareholder engagement, and comfort using AI tools to work faster Curiosity about financial markets, technology, and AI, and interest in how a research-driven company explains itself to investors 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: $200,000 — $265,000 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.