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Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. ABOUT THE TEAM We’re building Strategy & Operations in the CEO Office to help Product and Engineering deliver the right work, at pace and with fewer surprises. Product sets what to build and why. Engineering builds it. S&O keeps the full picture in view, brings teams together and helps turn plans into results. As S&O Lead, you’ll own that work across a product pillar and help raise the bar for how the wider S&O team operates. The impact is visible: what you improve in your pillar can shape how Checkout delivers elsewhere. THE ROLE This is a high-ownership role. You’ll be accountable alongside the product leader for delivery, but you won’t own the roadmap. You’ll need to earn alignment, challenge commitments and stay close to the work. When priorities collide, you’ll help decide what moves, what waits and what stops. You will: - Keep the pillar’s major initiatives in view. Know what matters, what is slipping and where teams are blocked. Raise risks early and bring a clear point of view. - Be a trusted, independent partner to the product leader. Challenge dates and trade-offs, and help agree what to protect, move or stop. Product retains roadmap decisions. - Personally lead the pillar’s hardest cross-functional work, from getting teams aligned through to launch. - Build and lead the S&O team in your pillar. Hire, develop and manage performance, while setting practical standards that help S&O deliver better across Checkout. WHAT YOU'LL DO - Own execution across the pillar. Keep priorities, delivery tempo, progress, dependencies and risks visible. Spot when plans are off track and bring a clear recommendation. - Build deep expertise in the pillar’s products: how they work, who they serve and how they make money. - Challenge priorities and commitments with the product leader. Recommend what to protect, re-sequence, move or stop. The product leader owns roadmap and commit-date decisions. - Personally lead the pillar’s most important cross-functional initiatives, aligning Product, Engineering and partner teams and driving the work through launch to enable faster shipping - Lead and develop the S&O team supporting the pillar. People leadership is core to the role, including hiring, development and performance management. Alongside pillar delivery, help shape practical standards adopted across S&O. WHAT YOU'LL BRING - You have strong problem solving and analytical skills. You can frame an ambiguous business question, build the analysis yourself, test hypotheses, quantify trade-offs and turn findings into clear business decisions. - You move between strategy, hands-on delivery and building the organisation. You personally lead high-impact, cross-functional work and stay accountable through launch and results. - You make execution repeatable. You build practical operating mechanisms and use data, automation or AI where they remove recurring friction or help teams scale. - You influence without relying on authority. You challenge senior stakeholders constructively, communicate complex issues clearly and bring people to decisions. - You raise the performance of others. You set clear expectations, give direct feedback and help people grow. Prior formal line-management experience is helpful, but evidence of leadership matters more. Strongly preferred: - Payments, fintech or regulated money-movement experience would be a real advantage, especially if you’ve worked with licences, regulators, schemes or banking partners. It can help you see risks sooner and get up to speed faster. It isn’t a requirement: strong operators from other sectors can be a great fit. What this role is not: - Not support to the product leader. You own execution across the pillar and need to push back when commitments don’t add up. - Not a short-term consulting project. You stay with the work through delivery and build ways of working the team can keep using. - Not a product role. Product sets the roadmap. Engineering builds the product. You make sure the pillar executes well. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You'll be the senior data science leader for Model Experience and a strategic thought partner to product, engineering, and research leaders. Working where frontier AI research reaches the public, you'll help shape model roadmap and launch decisions, bringing a point of view on how users experience our models and what good looks like beyond benchmark scores. As a tech lead manager, you'll also hire and manage a team of data scientists, setting their agenda, personally leading the highest-stakes analyses, and raising the bar for how data shapes model and product decisions. Responsibilities: Act as a strategic thought partner to product, engineering, and research leaders, helping shape model roadmap priorities, launch decisions, and the major bets the team makes Set the data science agenda for Model Experience, deciding where the team can have the most impact on model development and launch decisions and what it should deprioritize Hire, manage, and develop a team of data scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions about model quality and user experience, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Model Experience measures success, establishing the core metrics and measurement frameworks across external products and internal testing that align teams and leadership on what matters Set the standard for experimentation and causal inference across Model Experience, including where launches lack a clean A/B test, and personally lead the highest-stakes analyses Turn complex analyses of model and user behavior into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Model Experience needs to support rapid iteration and decision-making as our models and products evolve You may be a good fit if you: Have extensive experience in data science, including leading analytics for a product or research area at significant scale Have 3+ years managing data science teams, including setting team direction, hiring, and developing senior data scientists Have been a trusted partner to senior product, research, and business leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others' technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company's mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Experience as a tech lead manager or player-coach, balancing hands-on technical work with people management Experience building or scaling a data science team in a fast-growing organization Experience working closely with Product or Research teams, especially on LLM or AI products Comfort working with unstructured data 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: $460,000 — $460,000 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.

We're looking for a Lead Product Designer to shape the end-to-end experience for members. You'll own design from concept through execution for our mobile app priorities.

Location: San Francisco, CA or Remote, US Our vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit, and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems. As a lead product data scientist on the team, you will play a critical role in shaping our growth strategy, up-leveling our experimentation culture, and scaling our business. What You’ll Do Conduct in-depth analysis to shape product PLG motion and B2B strategy. Develop deep understanding of the product ecosystem and identify opportunities to drive activation, engagement, and monetization through actionable insights. Leveraging AI tools to build and maintain self-service analytics enabling stakeholders to access reliable metrics, size opportunities, design experiments, and interpret results independently. Improve execution rigor of product teams by owning success metrics and opportunity sizing. Brain buddy with product and engineering teams for day-to-day experiment design, deployment, and analysis. Provide creative solutions for tricky experimentation scenarios. Evolve experimentation culture and practices within the company. What You Bring 5–8 years of experience in a Data Scientist or similar role. 3+ years working in a growth function. Strong business and product intuition to identify opportunities in the growth ecosystem. Strong knowledge of statistical analysis and A/B tests. Strong SQL skills and proficient in at least one programming language such as Python or R. Excellent communication and collaboration skills. Curiosity, savviness to navigate in a dynamic environment, and a growth mindset. Having worked at a fast-growing start-up is a plus. The base salary range for this role is $200,000 - $250,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above. About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors ( OpenAI , Andreessen Horowitz , Redpoint Ventures , Spark Capital ). Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person. Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.

Location: Москва GigaCode -  AI-продукт для разработчиков. Мы создаём AI-агентов, которые помогают писать, анализировать, тестировать и сопровождать код. Ищем технически сильного Backend Team Lead (Java), который возглавит команду backend-разработки GigaCode. Обязанности ### Задачи: * управлять командой backend-разработчиков: планирование, развитие, найм. * проектировать архитектуру и развивать backend GigaCode * разрабатывать новые продуктовые возможности и API для CLI, Desktop и IDE-плагинов * развивать интеграции с LLM, агентные сценарии и взаимодействие клиентских приложений сbackend * обеспечивать производительность, отказоустойчивость и масштабируемость продукта * принимать технические решения, участвовать в разработке и code review. Требования ### Мы ожидаем: * опыт backend-разработки от 5 лет, управление командой — от 2 лет * глубокая экспертиза в Java, Spring Boot * опыт проектирования распределённых и высоконагруженных систем * знание PostgreSQL, Redis, Kafka, Docker, Kubernetes * понимание микросервисной архитектуры, observability и CI/CD * умение самостоятельно принимать технические решения и доводить их до production. **Будет плюсом:** * опыт разработки на Rust и JavaScript / TypeScrip * опыт разработки AI-продуктов, LLM-интеграций и агентных систем * Знакомство с MCP, OpenTelemetry и архитектурой AI coding assistants. Условия ### Мы предлагаем: * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня, страхование жизни, корпоративная пенсионная программа * льготная ипотека для сотрудников, подписка Прайм с возможностью шеринга (совместного использования) на трёх близких, скидки от партнеров и сервисов группы компаний * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * офис с видом на набережную, зонами отдыха и спортзалом * 90 дней удаленной работы из любого региона РФ * реферальная программа (бонус до 100 000 рублей).

Ищем сильного Lead Game Producer, который возьмёт на себя полную ответственность за производство мобильной онлайн-игры — от формализации продуктовой концепции до запуска и дальнейшего развития. • Превращать продуктовую концепцию в конкретные механики, требования, roadmap и backlog.

Location: Санкт-Петербург Workplace: гибкий ВКонтакте — один из самых высоконагруженных проектов рунета. В сутки у нас бывает до 30 релизов и 125 миллиардов запросов к API. Всё это вытягивает небольшая команда разработчиков, где каждый — суперпрофессионал, который нашёл интересные для себя задачи. Мы находимся в поисках руководителя команды разработки в Ленту. У нас интересно, потому что: Наши разделы посещают десятки миллионов пользователей ВКонтакте Мы обсуждаем и прорабатываем фичи всей командой как с продуктовой, так и с технической точки зрения Заботимся о надёжности — мониторим ошибки и производительность Проводим A/B-эксперименты и принимаем решения на основе полученных данных У нас быстрые циклы разработки, частые релизы и минимум бюрократии Стек: Go/PHP, SQL/KV, grpc, http. Задачи Руководить сильной командой, которая отвечает за ключевые части ВКонтакте: новостные ленты, постинг, социальный граф и многое другое Участвовать в распиле монолита ВКонтакте, писать новые микросервисы на Go Прорабатывать новые сервисы с учётом настоящего highload: у нас десятки тысяч QPS Нанимать новых разработчиков Требования Опыт руководства командой от двух лет Вы — командный игрок, с вами комфортно общаться, вы умеете договариваться со смежниками и стейкхолдерами Разбираетесь в классических алгоритмах и структурах данных Понимаете, что такое настоящий highload и умеете его «готовить» Умеете работать с масштабируемыми нагруженными системами, вам знакомы слова «балансировка», «шардирование» и «репликация» Знаете Go и готовы разбираться в Legacy PHP коде

Location: Москва Workplace: гибкий Наша команда отвечает за обеспечение выплат пользователям за различные монетизации ВКонтакте. Мы работаем с деньгами, и для нас важна стабильность и отказоустойчивость с соблюдением требований налоговой и юридической сторон. Задачи Руководство командой разработки backend (5 человек) Развитие людей и команды (1to1, ИПР и другие) Контроль архитектурных решений команды Постановка технических задач команде (исходя из продуктовой загрузки) Обеспечение технического качества Ответственность за наём и увольнение персонала Мониторинг бизнес-метрик команды и реагирование на изменения Итеративное улучшение процессов в команде Управление очередью задач (backlog) Требования Опыт управления командой разработки от двух лет Опыт коммерческой разработки на Go от трёх лет Умение доносить технические ограничения до бизнеса Умение разбираться в чужом коде Понимание ключевых технологий и инструментов разработки Будет плюсом Опыт в высоконагруженных системах Опыт проектирования микросервисных архитектур Работа в финтехе или других сферах с высокими требованиями к безопасности и надёжности Опыт распила монолита

Location: Москва Workplace: Комбинированный Мы создаём платформу персонализации для всех продуктов VK. На нашей инфраструктуре работают рекомендательные системы, поиск и реклама крупнейших продуктов компании, масштаб которых достигает 300 млн пользователей и почти миллиарда единиц контента. Немного о нашем масштабе: 1 млн vCPU вычислительных мощностей Сотни тысяч персональных подборок в секунду Более 300 инженеров из продуктовых команд используют нашу платформу, большинство из них — ML-инженеры Tier A, доступность более 99,99%. Мы умеем строить отказоустойчивые real-time системы и обеспечивать их работу под огромной нагрузкой Наша миссия — сделать платформу, на которой продуктовые команды могут быстро воплощать идеи, экспериментировать и растить метрики, не задумываясь о сложности инфраструктуры. При этом платформа должна эффективно работать даже в масштабах крупнейших интернет-продуктов. Наш технологический стек: Java (99% кодовой базы), C++ и Python для GPU-сервисов. Активно используем экосистему распределённых вычислений YTsaurus и разрабатываем собственные инфраструктурные решения. Задачи Мы ищем Team Lead в одну из команд платформы персонализации, которая отвечает за инфраструктуру поисковых сценариев. Один из главных инженерных вызовов в поиске — найти оптимальный баланс между потреблением RAM и CPU. Поисковые системы предъявляют особенно высокие требования к полноте данных, скорости их доставки и эффективности индексации. При этом важно обеспечивать предсказуемую производительность и эффективно использовать вычислительные ресурсы. В команде мы разрабатываем собственное реплицированное in-memory хранилище, технологии индексации контента и инфраструктуру для поисковых сценариев. Вам предстоит: Руководить командой инженеров: развивать сотрудников, участвовать в найме и отвечать за результаты команды Определять техническое развитие команды и принимать архитектурные решения Развивать технологии хранения и индексации данных, оптимизировать производительность и использование ресурсов Пример задачи, над которой работаем прямо сейчас: Реализовать персонализированное ранжирование поисковой выдачи, используя возможности платформы персонализации Почему у нас интересно: Масштаб, который редко встречается. Здесь даже небольшое архитектурное решение может влиять на миллионы пользователей и потребление тысяч CPU Сложные инженерные задачи. Мы не просто интегрируем готовые технологии, а создаём собственные решения для хранения, обработки и доставки данных в реальном времени Влияние на продукты. Результатами нашей работы пользуются более 300 инженеров продуктовых команд, а сама платформа лежит в основе ключевых продуктов VK Сильная инженерная экспертиза. Мы умеем строить системы с доступностью более четырёх девяток и постоянно работаем над тем, чтобы делать их быстрее, надёжнее и эффективнее Требования Опыт руководства инженерной командой, включая people management Уверенное знание Java или опыт разработки на другом современном языке с готовностью перейти на Java Хорошее понимание алгоритмов и структур данных Интерес к распределённым системам, большим данным и высоконагруженным сервисам. Опыт работы с ними будет преимуществом Любовь к технически сложным задачам, оптимизации кода и поиску эффективных решений Будет плюсом Опыт разработки поисковых или рекомендательных систем Знакомство с машинным обучением и инфраструктурой для ML

Location: Москва Workplace: Дистанционный Мы в поисках руководителя SRE-команды, цель которой построить все core-компоненты облака в единую надёжную систему и прорабатывать улучшения в инфраструктуре. Подсистемы в зоне ответственности команды DNS хранилище секретов балансировщики L4/L7 хранилище настроек приложений система сборки и деплоя клиентские библиотеки инструментарий работы с железом всё, что работает на стыках управляющего слоя облака, Linux и железа Ожидаемые результаты Снижение числа инцидентов Снижение числа ручных вмешательств Рост удовлетворённости пользователей и коллег Задачи Управление командой SRE из 5 человек Управление надёжностью внутреннего облака (SLO/SLA/SLI) Инцидент-менеджмент Работа с потребностями пользователей Удовлетворение текущих и будущих потребностей бизнеса Требования Опыт работы на аналогичной позиции от 5 лет Опыт разработки Go/Java - на уровне Senior Понимание основ работы сети и сетевых протоколов Уверенные знания Linux Продуктовый подход в достижении целей

Location: Москва Workplace: гибкий Мы ищем тимлида в направление разработки VK Pay — человека, который сможет одновременно развивать команду, принимать технические решения и вместе с продуктом отвечать за развитие B2C-платёжных сервисов. Это роль для сильного технического лидера с управленческим опытом, которому интересно не только руководить командой, но и погружаться в архитектуру, пользовательские сценарии и развитие продукта. Команда отвечает за развитие платёжного окна и связанных с ним SDK, которые используются в различных B2C-сценариях экосистемы VK. При этом VK Pay — полноценный продуктовый и технологический контур: команда работает с платёжной инфраструктурой, интеграциями с платёжными сервисами и внутренними системами, требованиями безопасности и регуляторики. В зоне ответственности команды: Развитие платёжного окна Развитие и поддержка SDK Интеграция новых способов оплаты Адаптация платёжного решения под различные пользовательские сценарии Тиражирование решения внутри проектов группы компаний VK Повышение надёжности, безопасности и качества продукта Задачи Руководить командой разработки из ~9 специалистов: Backend, Frontend и SDK Планировать работу команды, управлять приоритетами и отвечать за результат Развивать сотрудников: проводить 1:1, участвовать в найме, онбординге и оценке Определять техническое направление, участвовать в архитектурных решениях и развитии Legacy Развивать платёжное окно и SDK, участвовать в создании и интеграции новых платёжных сценариев Работать с продуктом: уточнять требования, предлагать решения и учитывать пользовательские сценарии Участвовать в формировании Roadmap и взаимодействовать со смежными командами Требования Опыт руководства командой разработки из 8–12 человек, в том числе несколькими подкомандами (Backend/Frontend/SDK) Опыт найма, онбординга, развития и оценки инженеров (в том числе performance review) Навыки планирования и оценки трудозатрат, работы с бэклогом, ретро и роадмапом Глубокий бэкграунд в backend-разработке высоконагруженных сервисов (желательно платежи/финтех) Понимание микросервисной архитектуры, Kubernetes, CI/CD, SRE-практик (мониторинг, алерты, инциденты) Понимание B2C-продуктовых сценариев: платежи, покупки, SDK, клиентские интеграции Опыт обеспечения отказоустойчивости: DRP, резервирование ДЦ, disaster-алерты, регламенты выкатки Навыки работы с инцидентами и снижением деградаций (например, платежей) Опыт взаимодействия с продуктовым направлением и смежными лидами Будет плюсом Опыт в финтехе, платежах или банковских продуктах Опыт работы с большими и долгоживущими продуктами Опыт управления несколькими направлениями или подкомандами Опыт работы с SDK Опыт развития B2C-продуктов Опыт взаимодействия с продуктовой, инфраструктурной и security-командами Опыт работы с Go — плюс, но не является обязательным требованием Мы предлагаем Сочетание people management, технического лидерства и продуктовой ответственности Возможность влиять на архитектуру и развитие продукта Работу с высоконагруженными системами, платёжной инфраструктурой и интеграциями Взаимодействие с сильными инженерными, продуктовыми и инфраструктурными командами Возможность развивать собственную экспертизу и экспертизу команды Участие в масштабных задачах экосистемы VK Гибридный формат работы в Москве или Санкт-Петербурге Удалённый формат из других городов, если в городе нет офиса с коллегами команды Доступ к образовательным ресурсам, внутренним мероприятиям и профессиональным сообществам VK Официальное оформление по ТК РФ с первого дня Программу ДМС для сотрудников и их детей с первого месяца работы Компенсацию питания Систему гибких льгот с 14 категориями на выбор И многое другое, о чём мы расскажем на собеседовании :)

Location: Москва Workplace: гибкий AdBlogger — внутренний стартап, который помогает рекламодателям находить покупателей через контент авторов, а авторам — зарабатывать на рекламе и рекомендациях. Проекту чуть больше полутора лет: с платформой уже работают около 10 тысяч активных рекламодателей и 40 тысяч авторов. Ищем лидера в одну из команд разработки, который поможет ей развивать продукт и архитектуру, будет участвовать в выборе технических решений и работать с кодом. Почему к нам: Молодой продукт с действующей аудиторией. Уже есть пользователи, для которых вы будете создавать новые возможности, и пространство для развития платформы Влияние на продукт. Вы сможете вместе с продакт-менеджером обсуждать инициативы и определять, как команда будет их реализовывать Возможность развивать архитектуру. Платформе чуть больше полутора лет — многие технические решения ещё предстоит сформировать Инженерная работа наряду с лидерством. В роли остаются проектирование, обсуждение решений и участие в разработке Наш стек: Go, PostgreSQL, Redis, Kafka и облачная инфраструктура. Задачи Руководить командой разработки: помогать инженерам принимать решения и доводить задачи до запуска Вместе с продакт-менеджером и командой определять приоритеты, оценивать инициативы и планировать разработку Развивать архитектуру продукта и отвечать за качество технических решений Поддерживать надёжность сервисов и находить баланс между развитием функциональности и техническими улучшениями Участвовать в разработке и помогать команде решать сложные инженерные задачи Требования Вы руководили командой разработки и можете рассказать, как помогали ей достигать результата Самостоятельно проектировали, запускали и сопровождали backend-сервисы Умеете сравнивать технические решения и объяснять их преимущества, ограничения и стоимость поддержки Обсуждаете продуктовые задачи с коллегами, предлагаете варианты и помогаете договориться о приоритетах Готовы разрабатывать на Go

Location: Москва Workplace: Офис Мы развиваем продукты Яндекс Финтеха: дебетовую карту Пэй, кредитку Супер Сплит и Сплит. Ищем Lead of transactional growth, который будет управлять промо, оценивать эффективность оферов и повышать LTV. Приходите, если работали в банке, финтехе, бигтехе или консалтинге больше трёх лет. Мы развиваем направление Growth & X‑Sell продуктов Яндекс Финтеха. Наша команда работает над ростом через привлечение, промомеханики в транзакционных сервисах экосистемы, а также развиваем X-Sell для таких продуктов Финтеха: карта Пэй, супер Сплит, Сплит. Мы управляем механиками роста как в приложении Яндекс Пэй, так и в других приложениях экосистемы, включая Яндекс Маркет, Яндекс Go и контентные сервисы. Обязанности Работа с промомеханиками Вы будете заниматься стратегиями и бэклогом экспериментов — оптимизировать с помощью эвристик и ML‑моделей транзакционные оферы и их промо для дебетовой карты Пэй, кредитной карты Супер Сплита и Сплита в приложениях экосистемы, включая Яндекс Маркет, Яндекс Go и Яндекс Еду. Работа с X-Sell Вы будете управлять X-Sell из транзакционных продуктов (карта Пэй, супер Сплит, Сплит) в кредит наличными и накопительные продукты в связанных с промомеханиками кейсах. Оценка эффективности Вместе с командами профильной аналитики вам предстоит оценивать, насколько эффективно работают оферы. Рост LTV Вы будете подбирать лучшие оферные стратегии, чтобы достигать KPI по продажам и развивать разные B2C‑продукты на всех этапах взаимодействия с клиентами: от привлечения до удержания. Больше о создании продуктов в Яндексе — в канале Yandex for Products Требования * Работали в банке, финтехе, бигтехе или консалтинговой компании больше трёх лет * Управляли промоактивностями и кросс‑продажами больше года * Знаете, как максимизировать lifetime value клиентов через кросс‑продажи и экосистему * Уверенно работаете с метриками воронки и A/B‑тестами на больших объёмах данных * Умеете анализировать конверсию на сегментах * Готовы управлять delivery‑процессом в кросс‑функциональных командах

- построение сквозной аналитики маркетинга, продаж и денежных поступлений. - развитие Bitrix24: формирование требований, постановка задач подрядчикам и приёмка результатов.

is looking for a Compliance Lead to manage regulatory compliance, AML/CFT frameworks, reporting, and compliance controls for EMI and CASP activities.

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building a legal transformation practice for the AI era. Our Transformation Office brings together highly experienced consultants and practitioners to help law firms and legal departments turn AI from a tool their teams use into value their business can see. Harvey’s experts help leaders decide what to change, and how to change it, as they adopt and embed new ways of working: how legal work is organized and governed, how it’s priced by firms and valued by in-house teams and how their people build new capability. The Transformation Office then works alongside their teams to make it happen. Our advice draws on what we see across Harvey's customers in more than 50 countries and on where the technology is heading. Our client work shapes Harvey's product, and the product shapes our advice. Both improve together. Law firms and legal departments are making decisions now that will shape how they compete for the next decade: which work to prioritize, how to price and value it, how to staff it and how to organize around AI. As Transformation Advisory Lead for Strategy & Economics, you help their leaders make those decisions well. You have made them yourself, inside a firm or a legal department, and advised others through them, so managing partners, general counsel and CFOs treat you as a peer. You will be one of the first senior specialists in Harvey's Transformation Office. You will help build our strategy and economics offering, bring that expertise to client engagements run by our Engagement Managers and join our Practice Directors when a customer has a specific need in strategy and economics. What you learn will shape how Harvey advises the market and what we build next. WHAT YOU'LL DO - Advise on strategy. Help leaders decide where AI changes their competitive position: which practices/domains, clients and types of work to prioritize, and where to invest. - Advise on pricing and value. Help firms and legal departments measure the impact of AI on the cost, speed and value of their work. For firms, that means working through how fee structures and value models need to change; for legal departments, it means showing the value their work creates for the business. - Advise on operating models. Help customers redesign how legal work is organized, supported and staffed, including team structures and the roles AI creates or changes. - Help leaders make the case for change. Work with managing partners, general counsel and finance leaders to build the case they take to their partnership, board, internal stakeholders or executive team. - Build the offering. Create the diagnostics, frameworks and leadership readouts the Transformation Office uses to deliver strategy and economics engagements, and turn each engagement into material the wider team can use. - Bring your expertise to early conversations. Join Practice Directors and account teams when a customer has a specific need in strategy and economics. WHAT YOU HAVE - 10+ years of experience, including significant time shaping strategy, pricing or operating decisions: for example in a law firm's strategy, pricing or practice management team, in legal operations, external counsel or law firm management, or as chief of staff to a general counsel. Experience in a legal-sector consulting practice is a strong plus. - Deep fluency in legal economics. For law firms: leverage, practice-group and matter profitability, pricing and fee structures. For legal departments: cost-center dynamics, outside-counsel spend and how the value of legal work is measured. - A track record of advising senior legal leaders through high-stakes decisions, with the presence to hold a room that includes finance. - A clear point of view on how AI will change the business of law, grounded in how the economics actually move. - Evidence that you have built frameworks or methods that others adopted and kept using. - The judgment to discuss efficiency in a way that builds support for change rather than fear about displacement. - Energy for building something new while the playbook is still being written. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Europe - Remote About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services and Web3. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at global scale. Bybit EU is headquartered in Vienna and is building the next generation of regulated digital asset services for customers across the European Economic Area. About the Role Bybit EU is looking for a Customer Excellence Lead to direct our European customer experience strategy, CRM-driven communication, and support operations across our regulated digital asset and financial services businesses. This senior leadership role covers customer support, service delivery, complaint management, customer experience, operational performance and service optimisation , with a strong focus on customer satisfaction, scalability, efficiency and regulatory compliance. Reporting directly to the Chief Business Operati ons Officer EU , you will work closely with Product, Technology, Compliance, Operations and global Customer Service teams to deliver seamless customer experiences and build a high-performing European customer service function. Key Responsibilities Customer Service Strategy & Operations Define and execute the European customer service strategy aligned with business objectives and customer expectations. Oversee customer support operations across European markets, channels and customer segments. Establish service standards, operating procedures, KPIs and performance management frameworks. Drive operational efficiency, scalability and continuous improvement across customer service functions. CRM, Incident & Platform Communications Own the operational CRM and notification strategy for European users across email, in-app messaging, push notifications, and system banners. Serve as the accountable owner for critical user alerts, managing end-to-end incident communications during platform changes, planned maintenance, service interruptions, and downtime. Partner with Product, Operations, and Marketing to draft and distribute clear, timely product updates, compliance notices, and general news. Maintain standardized templates and rapid-response incident runbooks to keep users transparently informed during critical events. Customer Experience & Service Quality Deliver high-quality customer support across retail, active trader, VIP and institutional customer segments. Own customer satisfaction, service quality, response times and first-contact resolution performance. Identify customer pain points and drive improvements across the end-to-end customer journey. Develop consistent and effective customer communication and service standards across European markets. Complaint Management & Escalations Oversee customer complaint handling, escalations and dispute resolution in accordance with applicable regulatory requirements. Ensure effective processes for managing complex, sensitive and high-priority customer cases. Partner with Compliance, Legal and Risk teams to address customer protection and regulatory concerns. Analyse complaint trends and implement corrective actions to address recurring issues. Service Channels & Customer Support Manage customer service delivery across live chat, email, telephone and other relevant support channels. Develop effective support models for onboarding, KYC, deposits, withdrawals, trading and account-related enquiries. Ensure appropriate service coverage, workforce planning and multilingual support capabilities across European markets. Oversee service delivery performance of internal teams and outsourced customer support providers. Technology, Automation & Performance Drive the adoption of customer service technologies, AI, automation and self-service solutions. Own customer service analytics, reporting and performance dashboards. Use customer insights, data and feedback to improve service quality, productivity and customer retention. Partner with Product and Technology teams to improve support platforms, workflows and customer journeys. Leadership & Compliance Build and lead a high-performing European customer service function. Set clear objectives, KPIs and accountability across internal teams and external service providers. Ensure customer service operations meet applicable European regulatory requirements, including customer protection, complaint handling and data privacy. Work closely with global and local stakeholders to align service standards while addressing European regulatory and customer needs. What We're Looking For 10+ years of relevant experience in customer service, customer operations or customer experience, including significant leadership experience in crypto, fintech, banking, brokerage or financial services. Proven experience leading large-scale, multi-market customer service operations and high-performing international teams. Strong understanding of crypto trading, digital assets, payments and financial services customer journeys. Demonstrated experience managing customer support operations, complaint handling, escalations and service quality. Strong experience with customer service platforms, CRM systems, AI, automation and omnichannel support solutions. Commercial and analytical mindset with experience managing CSAT, NPS, SLAs, response times, resolution rates and operational efficiency metrics. Experience managing outsourced service providers, workforce planning and multilingual customer support operations. Strong understanding of European markets, customer protection requirements and regulated financial services environments. Proven ability to drive operational transformation, customer experience improvements and scalable service delivery. Excellent communication, leadership and stakeholder management skills. Fluent English; additional European languages are an advantage; Chinese nice to have. Bachelor's or Master's degree in Business Administration, Management, Finance , Communications or a related field ; equivalent relevant professional experience will also be considered. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Core Apps product team and a strategic thought partner to its product leads. You’ll help set product direction for Claude Code and other new bets across Core Apps: bringing a point of view on where to invest, how to grow our Apps business, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes product decisions. Responsibilities: Act as a strategic thought partner to Core Apps product leads, helping shape product strategy, roadmap priorities, and the major bets the team makes Set the data science agenda for Core Apps, deciding where the Product Data Science team can have the most impact and what it should deprioritize Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions facing the business, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Core Apps measures success, establishing the core metrics and measurement frameworks that align teams and leadership on what matters Set the standard for experimentation and causal inference across Core Apps, and personally lead the highest-stakes analyses Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Core Apps needs to support rapid iteration and decision-making as our products grow You may be a good fit if you have: Have extensive experience in data science, including leading analytics for a product area at significant scale Have 3+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product and business leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem 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: $460,000 — $460,000 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.