Вакансии

• Опыт работы от 3 лет в розничном банкинге, кредитных картах, финтехе, продуктовом менеджменте или Growth-направлении. • Практический опыт работы с клиентскими воронками, конверсией и продуктовыми метриками.

Разрабатывать и реализовывать SMM-стратегию под рынок США; Вести Instagram, Telegram, X и Reddit;

— Ведение аккаунтов и создание контент-планов; — Создание Reels/TikTok, запуск рекламы и аналитика;

Bitdeer Technologies Group is looking for an AI Cloud Platform Product Manager to own the cloud platform roadmap, customer experience, and delivery.

— Поиск iGaming-рекламодателей, работающих с In-App трафиком; — Холодные B2B-продажи, нетворкинг и выход на ЛПР;

Bitdeer Technologies Group is looking for a Finance Manager Financial Planning and Analysis Business Partner to lead budgets, forecasts, financial modeling, and project analysis.

Bitdeer Technologies Group is looking for a Senior Finance Manager Director of Finance to lead financing strategy, transactions, capital-provider relationships, and funding analysis.

— Управление SMM, email-маркетингом и контент-стратегией; — Запуск промоакций и анализ KPI;

— управлять работами от постановки задачи до выпуска и приёмки результата; — планировать спринты, управлять бэклогом, сроками и изменениями;

— Поиск и привлечение новых партнеров, вебмастеров и media buying-команд; — Масштабирование партнерской сети и выполнение KPI;

0x is looking for a Business Development Manager to develop partnerships, close technical sales deals, and grow trading volume across crypto trading applications.

Location: Australia About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Site Selection & Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role combines real estate strategy, technical due diligence, market analysis, and vendor management to support the company’s global data center growth. The manager will collaborate closely with engineering, construction, finance, legal, and network planning teams to ensure that selected sites meet operational, technical, and business requirements. Your responsibilities will include: Site Selection & Market Analysis Lead the end-to-end site selection process for new data center facilities. Conduct market assessments, including power availability, fiber connectivity, land suitability, regulatory requirements, and risk factors. Build and maintain market intelligence on emerging data center regions, supply trends, energy markets, and colocation pricing. Evaluate and shortlist candidate sites through comparative analysis, scoring models, and feasibility studies. Technical & Environmental Due Diligence Coordinate environmental, geotechnical, hydrological, and seismic assessments. Assess infrastructure availability (power, water, fiber) and future scalability. Evaluate construction constraints, climate conditions, logistics access, and permitting feasibility. Work with engineering teams to ensure sites meet mechanical, electrical, and network resilience requirements. Colocation Strategy & Vendor Management Identify colocation providers and evaluate facilities based on technical specifications, SLA requirements, and cost structure. Lead RFPs, negotiations, and contract execution with colocation and connectivity partners. Manage colocation lifecycle: renewals, expansions, migrations, and optimization of space/power allocations. Monitor vendor performance against SLA, uptime, compliance, and efficiency metrics. Cross-Functional Collaboration Work with data center design and construction teams to validate site feasibility and development timelines. Partner with legal on contract terms, property acquisition, lease terms, and regulatory compliance. Support finance with CapEx/OpEx modeling, ROI calculations, and business case development. Coordinate with public authorities, utilities, and permitting agencies as needed. Risk Assessment & Compliance Evaluate risks related to natural hazards, geopolitical risk, security, environmental constraints, and utility reliability. Ensure compliance with local regulations, zoning laws, and corporate standards. Maintain documentation for audits, reporting, and internal approvals. We expect you to have: Bachelor’s degree in Real Estate, Engineering, Business, Geography, or related field. 5–8+ years of experience in site selection, real estate development, colocation management, or data center infrastructure. Strong understanding of data center power, cooling, and network requirements. Experience in evaluating colocation providers and negotiating leases/SLAs. Analytical skills in market research, cost modeling, and risk assessment. Ability to manage multiple simultaneous projects across regions. Excellent communication, negotiation, and stakeholder management skills. It will be an added bonus if you have: Experience with hyperscale or large-scale data center development. Knowledge of utility procurement (power, water), renewable energy markets, and substation planning. Familiarity with geospatial tools (GIS), risk modeling, or data center capacity planning. Understanding of permitting processes and environmental regulations. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

• Организация работы офиса и административная поддержка сотрудников (банковские счета, государственные документы). • Полное кадровое сопровождение сотрудников: оформление, КДП, трудовые договоры, work permit, отпуска, больничные и увольнения.

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.

Manage services operations and resources, including Engagement Manager and Solution Architects, ensuring timely and successful project execution and value delivery. Manages professional service team in respect to project milestones, delivery and goals.

Paid internship, full-time or part-time.

Задачи: — не указаны Требования: — не указаны Условия: — оплачиваемая стажировка — полный или неполный рабочий день — формат работы: очный, гибридный или удалённый (в пределах 10 стран, где есть офисы JetBrains)

Location: Москва Workplace: Комбинированный Цель позиции Развитие игрового сегмента компании за счёт привлечения новых международных клиентов — игровых разработчиков и издателей, которые уже работают на российском рынке, планируют выход или рассматривают Россию как потенциальный рынок для развития бизнеса. Приоритетный регион — Китай. Опыт работы с игровыми компаниями из других регионов (Юго-Восточная Азия, Южная Корея, Европа, США и других) будет существенным преимуществом. Задачи Поиск и установление прямых контактов с ЛПР в игровых компаниях: CMO, Head of Marketing, Head of User Acquisition, Publishing Director, Business Development Director и другими руководителями Проведение переговоров на уровне руководителей маркетинговых и коммерческих подразделений Выявление бизнес-задач, потребностей и критериев принятия решений потенциальными клиентами Развитие контактов и последовательное продвижение клиентов по воронке продаж до заключения сделки Управление процессом подготовки клиентских сделок (формирование брифов, подготовка медиапланов, аналитических материалов необходимых для принятия решения о сотрудничестве) Мониторинг международного игрового рынка, ключевых игроков, новых релизов и планов экспансии игровых компаний Анализ потребностей игровых рекламодателей, особенностей их маркетинговых стратегий и подходов к закупке рекламы Поиск новых возможностей для сотрудничества с игровыми компаниями Участие в профильных международных мероприятиях, конференциях и отраслевых встречах с целью развития деловых контактов Требования Опыт работы в игровой индустрии (GameDev, Game Publishing, Gaming Marketing, AdTech или агентства, специализирующиеся на игровых клиентах) Глубокое понимание структуры и бизнес-процессов игровых компаний: как устроены команды маркетинга, publishing, user acquisition и business development, кто отвечает за бюджеты и как принимаются решения о выборе маркетинговых партнёров Понимание специфики игрового маркетинга: performance marketing, user acquisition, brand marketing, медиапланирование, ключевые метрики эффективности (CPI, CPA, ROAS, LTV, Retention) Знание китайского игрового рынка, его ключевых участников и особенностей ведения бизнеса Опыт B2B-продаж, развития бизнеса, привлечения или сопровождения крупных клиентов в игровой индустрии Подтверждённый опыт выхода на ЛПР, проведения переговоров и развития отношений с международными клиентами Умение самостоятельно формировать воронку потенциальных клиентов и управлять длительным циклом B2B-продаж Навыки управления кросс-функциональным взаимодействием и подготовки комплексных коммерческих предложений Китайский язык — HSK5 и выше Важно: наличие доступа к международным игровым компаниям, особенно китайским, и понимание того, как внутри них принимаются решения о маркетинговых инвестициях