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Artstorm - разработчик мобильных и компьютерных игр, основанный в 2021 году.

За короткое время мы создали два успешных военных PvP-экшена: Modern Warships (более 75 млн установок, ТОП-1 среди игр о кораблях) и MWT: Tank Battles (более 10 млн установок за первый год).

Обе игры входят в топ-10 среди мобильных шутеров на технике.

Сегодня нас выбирают 500 тысяч активных игроков ежедневно со всех континентов.

Сейчас команда в поисках Senior QA Engineer для погружения в наш проект в жанре мультиплеерный экшн - Modern Warships.

Чем ты будешь заниматься:

Ручное функциональное тестирование мобильной и ПК-версий игры Modern Warships (iOS, Android, Windows);
Анализ и написание тестовой документации: тест-кейсы, чек-листы, отчёты по тестированию;
Корректировка существующих сценариев и создание новых на основе требований;
Ведение багов в системе баг-трекинга: от регистрации до подтверждения исправления;
Взаимодействие с разработчиками, дизайнерами, продюсерами и другими членами команды;
Участие в разработке и совершенствовании QA-процессов;
Анализ и воспроизведение сложных или трудно воспроизводимых проблем;
Тестирование игровых механик, UX/UI, локализации и интеграций.

Что нам важно:

Опыт работы в GameDev на позиции QA Engineer от 2 лет;
Уверенные навыки работы с Unity;
Понимание принципов клиент-серверного взаимодействия;
Опыт игры в различные проекты и интерес к игровой индустрии;
Способность воспроизводить нестандартные сценарии и баги;
Комплексный подход к тестированию (функциональное, регрессионное, нагрузочное тестирование и другие виды проверки);
Опыт работы с системами контроля версий (Git, SVN и др.);
Понимание процессов разработки ПО и жизненного цикла багов;
Внимательность к деталям и аналитическое мышление;

Способность грамотно формулировать задачи и эффективно работать в команде.

Будет плюсом:

Работа на мобильных Midcore проектах с активным лайвопсом;
Опыт АБ-тестирования;
Работа в командах фичевого направления;
Опыт работы с техническими обновлениями проекта (различные SDK, версия Unity).

Что мы предлагаем:

Мы открыты к релокации и можем предложить переезд в страны, где есть офис Artstorm или офисы наших партнеров. Конкретную локацию и условия переезда обсуждаем индивидуально.
Гибкое начало рабочего дня с обязательными часами онлайн для командного взаимодействия;
22 рабочих дня оплачиваемого отпуска;
10 sick days в год - если заболел, можешь взять день на восстановление без справок и документов. Оплачивается в размере 50% от стандартной дневной ставки;
Медицинская страховка после испытательного срока;
Уроки английского языка;
Возможность релокации после испытательного срока, компания помогает с переездом, включая семью и домашних животных;
Необходимая техника для удалённой работы.

2d:T9fa,Обязанности:

Обеспечение бесперебойной работы информационных систем процессингового центра: контроль и внедрение обновлений, плановые и внеплановые проверки состояния систем;
Развёртывание релизов и обновлений ПО в тестовых и продуктивных средах, контроль работоспособности систем после обновлений;
Построение и сопровождение процессов непрерывной интеграции и поставки (CI/CD);
Автоматизация задач эксплуатации: написание скриптов (Bash, Python), сопровождение средств управления конфигурациями и контейнеризованных сред;
Мониторинг утилизации ресурсов информационных систем; настройка метрик, триггеров и дашбордов в системах мониторинга Компании.

Требования:

Высшее техническое образование в области информационных технологий, инженерной инфраструктуры;
Опыт работы от 3 лет, желательно в сфере финтеха или платежных систем;
Знание современных технологий и стандартов сопровождения ИТ-инфраструктуры;
Опыт администрирования операционных систем Linux;
Опыт работы со средствами мониторинга и диагностики (Zabbix, Grafana);
Знание Bash, Python;
Опыт работы с системами контроля версий (Git) и инструментами CI/CD;
Навыки работы с контейнеризацией (Docker); знание средств оркестрации (Kubernetes) приветствуется;
Свободное владение русским языком. Знание узбекского и английского языка будет преимуществом

2e:Tcb2,Обязанности:

Развивать продукт или отдельные клиентские сценарии в мобильном приложении;
Изучать потребности клиентов, анализировать данные и находить точки роста;
Формировать, проверять и приоритизировать продуктовые гипотезы;
Определять продуктовые и бизнес-метрики и отслеживать их динамику;
Формировать и управлять продуктовым backlog;
Участвовать в формировании и реализации roadmap;
Совместно с дизайнерами, аналитиками, разработчиками и бизнес-подразделениями запускать изменения от идеи до production;
Анализировать результаты запусков и принимать решения на основе данных;
Взаимодействовать с командами рисков, финансов, юристов, комплаенса, информационной безопасности и другими подразделениями банка.

Требования:

Опыт развития B2C digital-продукта или клиентского онлайн-сценария;
Понимание разницы между продуктовым и проектным управлением;
Умение формулировать проблему, гипотезу, ожидаемый эффект и критерии успеха;
Опыт работы с продуктовыми метриками и воронками: конверсия, активность, retention, penetration, доходность и др.;
Навыки приоритизации инициатив и аргументации продуктовых решений;
Понимание принципов Agile и кросс-функциональной разработки;
Опыт взаимодействия с разработкой, аналитикой и дизайном;
Уверенное использование Jira, Confluence или аналогичных инструментов;
Способность самостоятельно доводить инициативу от исследования проблемы до запуска и оценки результата.

Условия:

Работа в офисе;
Работа над крупными B2C digital-продуктами;
Взаимодействие с кросс-функциональной командой;
Уровень дохода обсуждается индивидуально и зависит от опыта, компетенций и масштаба ответственности кандидата.

2f:T1826,Обязанности:

Развитие продукта

Погружаться в продукты и операционные процессы Magnum Daily, находить точки роста и возможности для улучшений;
Формировать продуктовую стратегию, roadmap и backlog;
Определять приоритеты и управлять развитием продукта от идеи до результата;
Искать возможности для автоматизации и оптимизации бизнес-процессов;

Работа с пользователями и данными:

Исследовать потребности пользователей: проводить интервью, анализировать обратную связь и пользовательское поведение;
Формировать и проверять продуктовые гипотезы;
Определять продуктовые и бизнес-метрики и анализировать результаты внедрения;
Оценивать эффективность реализованных решений и находить новые точки роста;

Работа с разработкой и дизайном:

Формировать продуктовые требования и детально описывать функциональность;
Ставить задачи разработчикам и дизайнерам, прорабатывать пользовательские сценарии и UX/UI;
Сопровождать задачи на всех этапах: от постановки до релиза и анализа результата;
Работать с практиками DoR/DoD;

Взаимодействие со стейкхолдерами:

Работать с IT, бизнесом, операционными командами, аналитиками и другими подразделениями;
Синхронизировать участников по целям, задачам и приоритетам продукта;
Аргументированно отстаивать продуктовые решения и управлять ожиданиями стейкхолдеров;
Переводить бизнес-задачи в понятные продуктовые требования, а технические ограничения — в понятный бизнесу язык;

Требования:

Опыт работы в Product Management от 2–3 лет;
Опыт в digital, e-commerce, retail, marketplace или IT будет преимуществом;
Опыт ведения полного продуктового цикла: исследование → гипотеза → разработка → релиз → анализ результата;
Понимание продуктовых и бизнес-метрик: конверсия, retention, adoption и др;
Опыт проведения пользовательских исследований и интервью;
Навыки формирования roadmap, backlog и продуктовых приоритетов;
Опыт подготовки технических требований и постановки задач команде разработки;
Понимание процессов разработки ПО и опыт работы с кросс-функциональными командами;
Понимание основ UX/UI и умение ставить задачи дизайнерам;
Самостоятельность, проактивность и умение принимать решения в условиях неполной информации;
Сильные коммуникативные и аналитические навыки;

Будет плюсом:

BPMN и моделирование бизнес-процессов;
Google Analytics / Firebase;
Jira, Confluence;
Опыт работы в Agile-командах;
Понимание DoR/DoD;
Опыт проведения A/B-тестов;
Технический бэкграунд или опыт тесного взаимодействия с разработчиками;

Условия:

Работа в одном из самых быстрорастущих e-grocery в Казахстане;
Работа над реальными digital-продуктами для сотрудников, франчайзи и покупателей;
Интересные задачи на стыке B2B, B2C и внутренних IT-продуктов;
Возможность влиять на продукт от идеи и стратегии до реализации и измерения результата;
Заработная плата — по результатам собеседования и тестового задания;
Ежегодный бонус по итогам работы;
График 5/2, 09:00–18:00;
Возможность частичной удалённой работы после испытательного срока (3 месяца);
Менторство и поддержка Product Team Lead;
Работа в кросс-функциональной команде: разработчики, QA, дизайнеры, аналитики и бизнес;
Отсутствие дресс-кода;

30:Ta17,Обязанности:

1. Развитие Data Governance: участие в разработке и реализации стратегии, инициирование и поддержка инициатив по управлению данными.

2. Участие в развитии направления Data Governance Общества в части стратегии, инициатив и структуры.

3. Работа с моделями AI и ML: разработка, тестирование и внедрение моделей машинного обучения, мониторинг и оптимизация их работы.

4. Разработка и проверка гипотез: формирование гипотез на основе данных, анализ и тестирование для их подтверждения или опровержения.

5. Разработка и изменение отчетов: создание отчетов и выгрузка данных по запросам структурных подразделений ДКБ согласно их технического задания, поддержка существующей отчетности Отдела BI.

Навыки:

1. Опыт успешного запуска кампаний с использованием предиктивных моделей

2. Экспертные знания математики, статистики, теории вероятности + A/Б тестрование.

3. Экспертные навыки программирования на Python - машинное моделирование, анализ данных.

4. Инструменты и методы, знание которых необходимо для работы в данной должности:

1) математические и статистические методы анализа;

2) знание математической составляющей предиктивных моделей, навык решения критичных моментов во время разработки и запуска

Требования:

высшее экономическое/техническое образование/ стаж работы в области телекоммуникаций или по специальности не менее 5 лет

31:T1583,

Carlsberg Kazakhstan запускает VMx, передовую платформу Value Management, которая станет ключевым инструментом принятия решений в области ценообразования, ассортимента и промоактивностей

Мы ищем сильного аналитика и лидера изменений, который возглавит внедрение VMx в Казахстане, станет владельцем платформы и будет трансформировать данные и аналитические инсайты в конкретные коммерческие инициативы, способствующие росту выручки и прибыльности бизнеса.

Основные обязанности

Внедрение и развитие платформы VMx

Лидировать запуск и внедрение платформы VMx
Координировать взаимодействие между командами Sales, Marketing, Finance, IT, Global VM и внешними партнерами
Управлять всеми этапами внедрения: Data Readiness, Analytics, ETL, UAT, Go-Live и последующей поддержкой пользователей
Выступать владельцем платформы VMx и отвечать за ее дальнейшее развитие и эффективность использования

Управление данными и аналитикой

Организовывать сбор, сопоставление, валидацию, очистку и подготовку данных для работы платформы
Координировать процессы ETL и интеграцию данных из различных корпоративных систем
Обеспечивать качество и достоверность данных, используемых в аналитических моделях
Разрабатывать и совершенствовать аналитические модели, бизнес-логику, симуляции и отчетность

Трансформация аналитики в бизнес-решения

Преобразовывать результаты анализа в практические рекомендации для бизнеса
Разрабатывать предложения по оптимизации цен, ассортимента, промо и торговых инвестиций
Готовить бизнес-кейсы, финансовые оценки и презентации для руководства компании
Проводить кросс-функциональные воркшопы и участвовать в разработке инициатив по созданию дополнительной ценности для бизнеса

Развитие процессов и компетенций

Внедрять новые коммерческие процессы и стандарты управления, связанные с использованием VMx
Организовывать обучение пользователей и сопровождать процесс адаптации сотрудников
Обеспечивать интеграцию VMx в регулярные коммерческие процессы и циклы планирования компании

Автоматизация бизнес-процессов

Выявлять возможности для автоматизации процессов Value Management
Лидировать проекты по цифровизации, автоматизации и повышению эффективности процессов.
Разрабатывать и внедрять новые аналитические инструменты и дашборды для поддержки принятия решений

Требования к кандидату

Высшее образование в области экономики, финансов, математики, аналитики, информационных технологий или смежных направлений
Опыт работы от 3 лет в Revenue Growth Management, Value Management, Commercial Finance, Business Analytics, Category Management или Strategy
Сильные аналитические навыки и опыт работы с большими массивами данных
Опыт управления проектами и взаимодействия с кросс-функциональными командами
Продвинутый уровень владения Excel и Power BI
Владение английским языком на уровне, достаточном для взаимодействия с международными командами

32:T17cc,

Обязанности:

Участие в первичных брифингах по проектам.
Проведение технического анализа входящих запросов.
Формирование и описание функциональных требований к продукту.
Взаимодействие и консультирование бизнес-аналитиков, технических специалистов, а также внешних клиентов (вендоры и партнёры компании) в процессе формализации и согласования требований.
Подготовка технических решений по запросам совместно с техническими специалистами (при необходимости).
Анализ и определение точек интеграции технических решений с существующей инфраструктурой компании.
Подготовка технических заданий на разработку и доработку ПО, каналов и интеграций.
Сопровождение разработки: предоставление дополнительной информации разработчикам и партнёрам в рамках реализации задач.
Инициирование и контроль получения необходимых доступов для участников реализации технических решений.
Контроль сроков разработки и реализации технических решений, оказание технической поддержки команде.
Контроль полного цикла тестирования продукта в соответствии с требованиями.
Сопровождение запуска продукта в промышленную эксплуатацию.
Подготовка и передача продукта или процесса на поддержку в эксплуатацию.
Формирование и поддержание актуальности всей необходимой документации по продукту.
Координация и контроль запуска технических решений.
Управление жизненным циклом технических решений после запуска.
Ответственность за разработку и поставку технических решений.

Требования:

Опыт работы системным аналитиком от 2 лет.
Наличие успешных кейсов системного анализа в реализованных проектах.
Понимание процессов разработки ПО (SDLC, модели и методологии разработки).
Знание принципов системного анализа и проектирования информационных систем.
Понимание архитектуры информационных систем.
Базовое понимание скоринговых систем и кредитных линий.
Понимание протоколов и интерфейсов интеграции систем.
Опыт самостоятельной подготовки технических заданий.
Опыт разработки инструкций и другой технической документации.
Опыт участия в командах внедрения продуктов.
Навык построения схем интеграций, взаимодействий и бизнес-процессов.
Знание баз данных и SQL.
Опыт работы с API.
Навыки тестирования ПО.
Понимание принципов работы веб-систем (витрина, frontend, backend).
Составление схем интеграций, взаимодействий, процессов, и др.

Условия:

Фиксированная заработная плата + годовой бонус;
Компенсация мобильной связи;
Безлимитный мобильный интернет;
Техника - (MacBook, Lenovo, Dell).

После испытательного срока (3 мес) льготы от Компании по категориям:

Медицина (приёмы врачей, анализы, медикаменты, УЗИ, МРТ и т. п.)
Образование (курсы, книги, обучение в школах и дет сады для детей)
Фитнес (тренажерные залы, спортивные секции, танцы, бассейн, йога и т. п.)
Путешествия (путевки за пределы и внутри РК, авиа и Ж/Д билеты, гостиницы).

Смело откликайся и становись частью одной из сильнейших телеком команд в РК!

33:T6ca,ABOUT YOU We are looking for a Senior QA Engineer who is meticulous, technically sharp, and forward-thinking to join our engineering team. You thrive in fast-paced, agile environments and are passionate about ensuring quality at every stage of the development lifecycle. You are not only confident in manual testing but also eager to integrate AI driven testing tools and workflows to elevate productivity, test coverage, and defect detection. You bring deep expertise in exploratory and structured testing, contribute to team best practices, and are proactive in monitoring production behaviour and user experiences. You stay curious about emerging tools and technologies, especially AI, and know how to leverage them effectively without losing sight of the fundamentals. If you’re excited to improve test processes, advocate for quality across teams, and drive innovation in QA through automation and AI, we’d love to hear from you. 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.34:T48d,About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview Analyze the coverage and exposure rate of interesting events in highway data; mind highway scenarios and build highway datasets; build dashboard to monitor highway data collection35:T1c85,At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for talented systems developers and researchers to join the Snowflake AI Research team and advance the state of the art in LLM inference systems and optimization. Our mission is to build the next generation of high-performance and intelligent inference systems. We optimize not only how fast and efficiently models run, but also how quickly inference systems can adapt to new models, architectures, hardware, and workloads. Our work spans the full inference stack—from distributed serving and runtime systems to GPU kernels and model-system co-design. We explore techniques such as adaptive parallelism, speculative and parallel decoding, disaggregated inference, scheduling and batching, KV-cache optimization, model swapping, quantization, and GPU kernel optimization to push the frontier of latency, throughput, scalability, and cost. Beyond optimizing individual models, we are building intelligent and adaptive inference systems that can automate performance optimization—rapidly profiling new models and workloads, identifying bottlenecks, selecting effective execution strategies, and adapting system configurations with minimal manual tuning. We embrace AI-native engineering, using AI not only as the workload we optimize, but also as a tool to accelerate system development, experimentation, debugging, optimization, and adaptation to new models. Our goal is to accelerate both the speed of inference and the agility of inference development. Recent innovations from Snowflake AI Research include Arctic Inference, our open-source inference system, and technologies such as Shift Parallelism, which dynamically adapts parallelism to workload characteristics; SwiftKV, which reduces redundant prefill computation; Arctic Speculator and SuffixDecoding for fast speculative decoding; Jacobi Forcing for causal parallel decoding; and Semi-Persistence for fast model swapping and dynamic multi-model serving. This is an exciting opportunity to collaborate with a world-class team, including founding members of DeepSpeed, vLLM, and TensorFlow. Together, we will push the boundaries of AI systems and bring cutting-edge research into production-scale AI. Responsibilities - Design and develop high-performance LLM inference systems, spanning distributed serving, runtime systems, GPU execution, and performance-critical kernels. - Develop novel techniques to improve inference latency, generation speed, throughput, memory efficiency, scalability, and cost. - Explore advanced inference techniques including speculative and parallel decoding, prefill/decode disaggregation, adaptive parallelism, continuous batching and scheduling, KV-cache management, quantization, and communication optimization. - Develop adaptive and intelligent inference systems that automatically optimize execution for new model architectures, hardware platforms, workload characteristics, and deployment environments. - Apply AI-driven and AI-native approaches to systems engineering, including automated profiling, bottleneck identification, configuration search, code generation, experimentation, runtime strategy selection, debugging, and performance tuning. - Independently identify high-impact performance and systems problems, formulate hypotheses, prototype solutions, and drive promising ideas from research through production. - Design distributed inference strategies across GPUs and nodes, including tensor, sequence, pipeline, data, and expert parallelism. - Develop efficient approaches for multi-model serving, dynamic resource management, model loading and swapping, and workload-aware scheduling. - Analyze and optimize GPU kernels and operators for attention, MoE, communication, and other performance-critical model components. - Explore model-system co-design, including model or post-training techniques that unlock substantially more efficient inference. - Profile and benchmark end-to-end workloads to identify bottlenecks across compute, memory, communication, networking, scheduling, and model execution. - Collaborate closely with model researchers, infrastructure teams, and product teams to deploy research innovations in production. - Open-source and publish innovations through technical blogs and top-tier systems and machine learning conferences. Requirements - Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. A Master’s degree or PhD is preferred. - 5+ years of experience in one or more of the following areas: LLM inference systems, distributed AI systems, GPU systems, or high-performance computing. - Strong understanding of modern LLM inference architectures and the performance tradeoffs involved in serving large-scale models. - Hands-on experience with modern LLM inference and serving frameworks, such as vLLM, SGLang, TensorRT-LLM, or similar systems. - Experience designing, extending, or optimizing inference runtimes, including areas such as scheduling, batching, KV-cache management, distributed execution, parallelism, speculative decoding, or disaggregated serving. - Strong understanding of GPU architectures and experience with CUDA, Triton, or similar GPU programming environments. - Experience with performance-oriented libraries and frameworks such as CUTLASS, cuBLAS, cuDNN, or related technologies. - Experience profiling and diagnosing end-to-end system performance using Nsight Systems, Nsight Compute, or equivalent tools. - Demonstrated ability to operate as an independent problem identifier and solver—recognizing important problems with limited direction, defining the right technical questions, and driving solutions through ambiguity. - Strong ability to work across model, runtime, distributed system, and hardware layers and reason about end-to-end performance tradeoffs. - Experience using AI-native engineering approaches to accelerate software development, experimentation, debugging, optimization, or system adaptation is a strong plus. - Excellent communication skills and the ability to collaborate effectively across research, engineering, and product teams. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com36:T1c5a,At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. Our Solution Engineering organization is seeking a RVP, Solution Engineering to lead a high-caliber pre-sales team focused on driving expansion within our premier Financial Services accounts. In this second-line leadership role, you will lead through a team of SE managers, partner with Sales leadership to navigate complex banking, insurance, and capital markets sales cycles, and own the revenue and consumption responsibilities for the group. Your team translates technical capabilities into value-based financial services scenarios, using demonstrations, POCs, and pilots to accelerate adoption on the Snowflake AI Data Cloud. AS A RVP, SOLUTION ENGINEERING, FINANCIAL SERVICES AT SNOWFLAKE, YOU WILL: - Build and lead a multi-layered organization of SE managers who serve as our core product introduction, evaluation, and education experts for global financial institutions - Partner with Sales leadership to achieve regional quota and consumption targets, ensuring our platform becomes the backbone of the customer's financial services data and AI stack - Set the vision for AI-led transformation in Financial Services, guiding customers on how to operationalize Cortex AI, agentic workflows, and governed enterprise AI in highly regulated environments - Coordinate cross-functional, dotted-line resources to achieve team goals while ensuring technical alignment with regional and regulatory requirements - Provide guidance to revenue leaders on sales strategy and industry-specific product gaps, representing the team's needs to executive staff on market trends like real-time risk, fraud detection, and AI-driven customer 360 - Collaborate closely with product, engineering, sales, marketing, and services to ensure the roadmap addresses the unique governance, security, latency, and scale requirements of Financial Services - Play an active role in bringing in top-tier industry talent and developing the leadership bench across directors and managers - Act as a player/coach, working with your leaders on delivering compelling presentations to C-suite financial services stakeholders and prospects - Innovate and implement strategies that uplevel your team's skills in consultative selling, AI-native workflows, and industry-specific technical architecture ON DAY ONE WE WILL EXPECT YOU TO HAVE: - 15+ years of industry experience in a sales or pre-sales capacity - Strong technical understanding of cloud data platforms and how they power financial services workloads, including data warehousing, data sharing, and AI across core banking, risk, ERP, and CRM sources - Experience guiding organizations through AI and GenAI transformation, including the governance, security, and risk considerations specific to regulated industries - Exceptional communication skills, with the ability to deliver compelling presentations to both technical and executive stakeholders, whether on a whiteboard, through live demos, or formal presentations - A consultative sales approach, with the ability to understand complex business challenges and map them to cloud data platform and AI solutions - Strong strategic thinking, with a deep understanding of enterprise sales cycles and the ability to manage complex deals from initial discovery to close - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience BONUS POINTS FOR THE FOLLOWING: - Hands-on familiarity with Snowflake or comparable cloud data platforms - Experience scaling AI, GenAI, and agentic workflows across teams, including governed AI deployments in production environments - Prior experience leading technical GTM for large financial institutions - Understanding of data collaboration and marketplace ecosystems relevant to Financial Services WHY JOIN OUR TEAM AT SNOWFLAKE? Our Solution Engineers are customer-obsessed, and we believe in the unique business value we add. We value both transparency and uncompromising integrity. We love to learn, are open to giving and receiving feedback, and are passionate about making our clients successful. Our team works to ensure data is accessible, usable, and valuable to everyone, from the trading floor to the corporate boardroom. As a senior leader in this organization, you will shape how an entire industry modernizes its data strategy and adopts AI responsibly, while building and mentoring the leaders who will carry that work forward. Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com37:T16c0,About Owner Owner is the AI-native system local business owners use to succeed, starting with restaurants. We’re building the system that replaces the many tools owners use to run their business. It powers everything from the restaurant’s website, online ordering, CRM, POS, and more. Product philosophy Most small business software makes owners do the work to get what they want: sales growth and profit growth. Owner does the work for them agentically. Our system drives demand, converts it, and helps operators run their business day to day. As it improves, the business improves with it. Using Owner should feel like having a team of great operators, engineers, and marketers working for you. Our vision We’re starting by helping independent restaurants succeed online. But it’s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive. Once we nail the solution for restaurants – we’ll scale it into every other local business type. In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age. Our traction Since 2020, we've generated tens of millions in revenue and processed over a billion dollars of online orders. 1 in 5 Americans have used an Owner.com http://Owner.com website. More importantly, we’ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees. Our team Our team is now in the low hundreds. We’ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe. We’ll be scaling even faster in 2026 to keep pace with our customer growth. Where we work Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location! The Guest Acquisition team is building the self-driving, AI-powered platform for profitable growth for small businesses. A crucial element of this growth engine is attracting new consumer demand for our restaurant customers through SEO and AEO/GEO. Owner’s acquisition engine first identifies what makes a given restaurant unique, evaluates local demand for its offerings, and assesses the most relevant competition to determine the best strategy for promoting that restaurant. Then, the platform automatically generates relevant website pages and content, monitors results over time, and evolves its strategy as it gets more data. We are looking for a mission-driven engineer who is passionate about their craft and committed to building incredible products for our customers. What you’ll work on: - Own the technical strategy for SEO/AEO systems at scale, translating ambiguous growth goals into a prioritized roadmap, clear metrics, and durable system architecture. - Lead end-to-end delivery of major initiatives such as new ingestion sources, indexing and serving improvements, or content generation workflows, from design through launch and operational readiness. - Raise the bar on reliability, quality, and observability across pipelines and services, building guardrails, alerting, dashboards, and incident-ready runbooks that enable sustained iteration. - Drive a rigorous experimentation and measurement loop, partnering with product, data, and cross-functional teams to validate impact, diagnose regressions, and continuously improve performance. - Mentor and multiply the team, setting engineering standards, reviewing designs, coaching other engineers, and aligning across teams where changes require shared ownership. What we need: - Strong technical leadership and end-to-end ownership. Ability to set direction, drive alignment, and deliver multi-quarter initiatives from design through launch and iteration. - Familiarity with SEO systems at scale. Experience with crawling and indexing, content generation, templating, structured data, internal linking, canonicalization, and internationalization is a plus. - Data and experimentation rigor. Comfort defining success metrics, running controlled experiments, analyzing results, and debugging performance changes (rankings, traffic, conversion). - Operational excellence. Experience building reliable pipelines and services with strong observability, alerting, and incident-ready runbooks. - Systems thinking across the stack. Able to reason about tradeoffs across ingestion, storage, serving, and quality controls, and to design durable architectures. - Cross-functional partnership. Able to collaborate tightly with Product, Data, and Design, and influence decisions without authority. Compensation and benefits - The estimated starting base salary range for this role is $190K-220K depending on level, location and experience, plus a generous pre-IPO equity package - Other benefits include comprehensive health coverage, work from anywhere (remote-first workplace), unlimited PTO - plus extra fun perks! Notice - Employment Scams Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address. We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by a scammer, please mark the communication as "phishing" or “spam” and do not respond.38:T197f,ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. - We lean in: ownership over titles, outcomes over intentions. - We fight for excellence: high standards, direct, ego-free feedback. - We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. ABOUT THE TEAM The IT and AI Enablement function helps Legora run securely and reliably as we grow. We are building an AI-native Information Security function. We ship security controls as software, and agents handle first-pass triage and routine investigation. People make the high-impact calls. This role owns detection and response across Legora's corporate and production environments: endpoints, identity, cloud workloads, SaaS, and the AI systems and agents we operate. Law firms trust Legora with sensitive work, so we expect capable, well-resourced attackers. Your job is to find and stop them. What you’ll be doing - Own detection and response across endpoints, identity, cloud workloads, SaaS, and Legora's AI systems. Hunt, triage, investigate, contain, and drive incidents through resolution, then turn what you learn into better detections and controls. - Build detections as production software on telemetry and pipelines provided by AI & Integrations Engineering. Keep them version-controlled, peer-reviewed, tested, and deployed through CI/CD. Measure coverage, precision, and time to detection, then tune where the data shows a gap. - Build threat models, telemetry, and response playbooks for our AI systems, agents, and their tool use. Detect misuse of agents operating across the company. - Build and supervise agents for triage, enrichment, and investigation. Set guardrails and approval thresholds for containment and other high-impact actions. - Map coverage to MITRE ATT&CK and validate it through threat hunting, penetration-test findings, and adversary emulation. - Share the on-call rotation and act as incident commander when security is involved. Engineering owns service reliability; Customer Trust and Legal own customer communications. Run post-incident reviews and use the findings to reduce detection and containment time. - Investigate insider risk and identity abuse with Corporate Security, People, and Legal. Work with Vulnerability Management on exposure priorities and IT Systems on the underlying estate. - Track actors and campaigns targeting AI companies and convert the intelligence into hunts and detections. Own the digital-risk platform and coordinate urgent phishing and impersonation takedowns. Who you are - 5+ years in detection engineering, incident response, or security operations, including work as a senior escalation point. For Staff, we expect roughly 10+ years and experience setting detection and response strategy. - Strong software engineering skills in Python and SQL. You build detections, automations, and telemetry pipelines that run reliably in production. - You use LLMs and agents in day-to-day security work and know which decisions require a human. Be ready to show us an investigation or workflow you automated. - Fluent across endpoint, identity, cloud, and SaaS telemetry. You reason from attacker behaviour and correlate signals across systems. - You communicate clearly during incidents and turn incomplete technical evidence into sound decisions. Your post-incident reviews lead to concrete changes. Nice to have - Experience with a modern SIEM or security data lake and at least two relevant query or rule languages, such as SPL, KQL, YARA-L, Sigma, or SQL. - Experience securing AI systems, agent tool use, and AI data flows, including prompt injection and exfiltration risks. - Experience with response automation, incident management, digital forensics, or malware analysis. - Threat intelligence, insider risk, or DLP experience. WHAT’S IN IT FOR YOU - Global collaboration: Partner with teams and clients across Europe, APAC, and North America. - Competitive package: Comprehensive salary, benefits, and tools for success. - Meaningful work: Your efforts shape how thousands of lawyers use AI daily. - In-person environment: Union Square office designed for ambitious builders and company provided lunch daily. - Benefits & Perks: We invest in our people with a comprehensive, thoughtfully designed benefits package: Medical, Dental & Vision - Multiple medical plan options through Aetna and Kaiser Permanente - HSA or Healthcare FSA (based on plan selection) - Dental plans via MetLife - Vision plans via Vision Care Family Support - Generous parental leave - Free access to Maven Clinic - Dependent Care FSA - Free One Medical membership for employees and dependents Additional Perks - Pre-tax commuter benefits - Life Insurance + STD/LTD - 401(K) with generous company match - Unlimited PTO - Robust voluntary benefits, including identity protection (via Aura), legal coverage via MetLife, pet savings programs, and more Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.29:["$","$L2b",null,{"category":{"slug":"abroad","title":"IT-вакансии за рубежом","description":"Работа в IT за границей: офисы зарубежных компаний, релокация и удалёнка с оплатой в валюте.","titleEn":"IT jobs abroad","descriptionEn":"IT work abroad: offices of foreign companies, relocation and remote work paid in foreign currency.","filters":{"geo":["abroad"]}},"jobs":[{"id":"5d7ba44c-7d9d-445d-86fc-a0ed08bf9183","title":"Intern Contract Operations","company":"Digitain 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