Ищем не просто фармера, а архитектора направления. Человек, который с нуля построит всю инфраструктуру фарминга FB: от выстраивания цепочки поставщиков до выдачи готовых, прогретых, «живых» акков медиабаерам.
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Ищем не просто фармера, а архитектора направления. Человек, который с нуля построит всю инфраструктуру фарминга FB: от выстраивания цепочки поставщиков до выдачи готовых, прогретых, «живых» акков медиабаерам.
• экспертиза в Sportsbook / спортивных ставках. • подтверждённый опыт создания с нуля и запуска собственной Sportsbook-платформы.
Location: San Francisco, CA Workplace: Hybrid ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE You will be LangChain's dedicated cloud alliance lead for AWS, owning the relationships and revenue motions that make these partnerships produce real pipeline. This is a senior individual contributor role sitting within the Partnerships team where you'll be close to the product, close to the field, and expected to drive results without a lot of hand-holding. You'll own co-sell execution and marketplace presence end-to-end, working with cloud partner teams, field sellers, and LangChain's GTM organization to turn partner relationships into closed deals. WHAT YOU'LL DO Co-sell and pipeline - Own and grow LangChain's co-sell motion with AWS: manage joint pipeline, coordinate deals with AWS field teams, and drive sourced and influenced revenue. - Partner with LangChain sales leadership to define priority co-sell accounts, map territories to AWS coverage, and run co-sell plays region by region. - Keep ACE hygiene high across the sales team so that opportunity sharing, acceptance, and launch become routine rather than a partnerships-team chore. Marketplace - Own LangChain's AWS Marketplace presence end to end: listings, private offers, CPPO through channel partners, and program enrollment. - Operate our marketplace GTM platform (Suger today) and extend referral and offer automation so sellers can transact through Marketplace without partnerships-team involvement. Programs and funding - Operationalize AWS funding mechanisms across the team: MDF (market development funds for co-marketing), proof-of-concept credits, ISV Accelerate benefits, and any strategic collaboration funding we secure. - Pursue AWS competency and specialization programs that strengthen our positioning with AWS sellers. - Track funding drawn down against funding available and report it monthly. Executive and partner relationships - Own LangChain's working relationships at AWS: partner development managers, ISV sales managers, Marketplace category leads, and the Bedrock and AgentCore partner teams. - Build executive sponsorship on both sides, and run a joint business plan with AWS that sets shared goals and a review cadence. - Navigate the coopetitive dynamic: partner closely with AWS on Bedrock and AgentCore while differentiating LangGraph and LangSmith where AWS has competing offerings. Field enablement and marketing - Equip LangChain sales, solutions engineering, and marketing with better-together messaging, competitive positioning, and joint sales plays for AWS accounts. - Partner with marketing on co-branded campaigns, content, and events that generate pipeline, including re:Invent, AWS Summits, and joint customer programs. - Communicate results clearly to internal stakeholders, including a monthly readout on pipeline, Marketplace, and program activity. WHAT YOU'LL BRING - 6+ years in cloud alliances, partner sales, or business development, with direct, hands-on ownership of an AWS relationship. - A track record of scaling a hyperscaler co-sell motion, not just starting one: you have taken a working AWS alliance to materially higher Marketplace share, pipeline, or partner-sourced revenue, and you can describe the mechanisms that got you there. - Deep working knowledge of AWS Marketplace transactions and programs: private offers, CPPO, ACE, ISV Accelerate, and the funding programs available to ISVs. - Experience operating a marketplace GTM platform such as Suger, Tackle, or WorkSpan, including referral and offer automation. - Experience shaping and running a joint business plan with a hyperscaler, including executive sponsorship on both sides. - Enough technical foundation to speak credibly with builders. You do not need to write code, but you need to understand how LangGraph, LangSmith, and LangChain fit into a customer's AWS stack. - Experience in a startup or high-growth environment where you set the operating rhythm for a partner motion rather than inheriting one. - Strong operational discipline: you manage pipeline in the CRM, track partner activity, and report results clearly to internal stakeholders. - Excellent communication and relationship-building skills, with comfort owning senior relationships at a large cloud organization and resolving conflict constructively across company lines. NICE TO HAVE'S - Prior experience inside AWS in partner sales, ISV, or Marketplace roles, with a working understanding of how co-sell decisions and seller compensation work internally. - Experience with commercial contracts with AWS like SCAs. - Existing relationships across the AWS ISV, field, Marketplace, and Bedrock partner teams. - Familiarity with the AI/ML ecosystem: how LLMs, agents, and developer tooling fit into enterprise stacks. - Experience with AWS partner programs specific to AI and data, such as the Generative AI Competency and related partner tracks. - Prior experience at a developer tools or infrastructure company with a product-led growth motion. Annual salary range: $200,000 - $250,000 OTE + Equity COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Настроить подбор• Управлять и развивать команду VIP Managers. • Работать с VIP-сегментами: Low / Mid / High Rollers.
Location: Москва Workplace: Офис, Гибридный Яндекс ID — одна из ключевых инфраструктурных систем Яндекса. Через неё проходят аутентификация и авторизация пользователей и сервисов, а от её работы напрямую зависит доступность большого количества продуктов компании. Система ID построена на нескольких критически важных инфраструктурных компонентах — среди них Паспорт, Blackbox, TVM и прокси. Уровень надёжности таких систем должен быть очень высоким: мы стремимся довести доступность до 99,99–99,999% там, где это возможно технически. А в тех случаях, когда это неосуществимо, — разобраться в фундаментальных ограничениях и сделать реальную надёжность как можно выше. Мы ищем опытного технического лидера. Вместе с CTO Яндекс ID вам предстоит работать над повышением надёжности платформы. Роль сочетает в себе глубокую инженерную работу, практику SRE и задачи технического лидерства. Вам нужно будет участвовать в формировании архитектуры систем, совершенствовать инженерные практики команды и развивать подходы к обеспечению надёжности критичных сервисов ID. Обязанности Обеспечение надёжности Паспорта Вы будете техническим партнёром CTO по вопросам надёжности. Вам предстоит помогать принимать архитектурные решения, выявлять системные риски, разбирать сложные инциденты и оценивать, какие инвестиции в надёжность принесут наибольший эффект. Также вы станете ментором и дополнительным экспертом для команд, которые отвечают за критически важные компоненты ID. Надёжность компонентов Яндекс ID Вы будете детально изучать работу Blackbox, TVM, Паспорта и прокси. Вам нужно будет выявить основные причины сбоев и ограничения текущей архитектуры, а затем разработать программу, которая повысит их надёжность. Цель — добиться доступности критичных компонентов на уровне 99,99–99,999% там, где это возможно технически. При этом главное — не просто достичь высоких показателей, а обеспечить реальную надёжность: чтобы система устойчиво работала при сбоях инфраструктуры и зависимостей, позволяла локализовать аварии, продолжала функционировать при частичных отказах и автоматически восстанавливала работу. Развитие SRE‑подхода Вы будете вместе с командой развивать подходы к обеспечению надёжности критичных сервисов Яндекс ID: автоматизировать эксплуатационные задачи, улучшать инструменты и процессы, развивать инфраструктурную разработку. Важно помогать команде находить системные решения проблем надёжности, сокращать объём ручной работы и постепенно наращивать инженерные практики и экспертизу внутри службы. Больше о бэкенде в Яндексе — в канале Yandex for Backend Требования * Работали с SRE-практиками * Обладаете сильным инженерным бэкграундом и работали с высоконагруженными распределёнными системами * Глубоко понимаете принципы построения отказоустойчивых систем и умеете находить не только отдельные проблемы, но и системные ограничения надёжности * Можете самостоятельно погрузиться в большую существующую систему и разобраться в её архитектуре, зависимостях и классах отказов * Знаете, что такое техническое лидерство, и можете влиять на несколько команд без необходимости напрямую управлять каждым инженером * Умеете превращать большие и плохо определённые проблемы в конкретную инженерную программу * Можете одновременно работать на уровне архитектуры системы и погружаться в детали конкретного инцидента или компонента * Умеете аргументировать технические решения и договариваться с сильными инженерами и руководителями Будет плюсом * Отвечали за надёжность критичных инфраструктурных систем * Строили системы с требованиями доступности 99,99% и выше * Работали над разработкой инфраструктурных систем и хорошо пишете код
5+ лет опыта в Product Management, включая сложные B2C-продукты. Опыт управления и развития продуктовых команд.
Обязанности кандидата: Постановка задач на разработку, взаимодействие с бизнес заказчиками, функциональное тестирование.
Ищем опытного Affiliate Manager, который возьмёт на себя запуск affiliate-направления нового iGaming-продукта на рынке Бразилии.
Als Head of Lead Generation verantwortest du den Aufbau, die Performance und die Weiterentwicklung unserer Leadgenerierung. Du kontaktierst potenzielle B2B-Kunden telefonisch, qualifizierst Leads und vereinbarst Termine für unser Sales-Team.
Location: London Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: Tripledot Games Tripledot Games is a leading developer and publisher of casual and puzzle games, with a strong presence in London, Warsaw and Barcelona. Our best-in-class data-driven approach spans the entire lifecycle from publishing to machine learning puzzle levels, helping us make fast, smart decisions at every stage of development. We are also one of the largest IAA operators worldwide. Tripledot Games is a diverse and collaborative studio, home to people from over 36 nationalities. We take pride in our craftsmanship, strong focus on outcomes, and continuous improvement, building high-quality, scalable games that players around the world love. Role Overview We're looking for a Lead Game Designer to join the Tripledot Games team. You’ll lead design on a new hybrid-casual game in the idle RPG space. We’re exploring directions that blend idle progression with arcade action or roll-based economies, and you’ll help decide which one we take forward. Key Responsibilities Hands-on Own the core loop, meta and progression design for a new mobile game, from concept to launch. Build playable prototypes quickly, using AI tools, to test ideas before full production. Design economy and progression systems, including upgrade curves, rewards, gacha and spin or roll mechanics. Balance hybrid monetisation across ads and IAP. Write clear design documentation for art, engineering and product teams. Analyse KPIs, playtests and A/B tests, and turn the results into design changes. Leading game design Set the design direction for the project, working with the product director and studio leadership. Research the market and competitors to find opportunities in new genres. Review design work and share feedback and best practices with more junior designers. Required Skills, Knowledge and Expertise Hands-on A proven record of senior or lead game design work on live free-to-play mobile games, ideally hybrid-casual. Experience on at least one successful title in idle RPG, coin looter, arcade idle, survivor-like or similar hybrid-casual genres. Experience designing the economy, progression and monetisation of a live game, and tuning them using player data and A/B tests. Experience building playable prototypes yourself with AI tools. Leading game design Experience reviewing other designers’ work and helping them improve. Strong advantage Experience on two or more of the genres above. Experience taking a new game from concept to launch. Experience with base building, lighter 4X-style meta or creature collection. Working at Tripledot 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year Hybrid Working 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year. Daily Free Lunch: when in the office you get £12 every day to order from JustEat. Regular company events and rewards: quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] Life Assurance & Group Income Cover: Financial protection for you and your loved ones. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Private Medical Cover & Health Cash Plan: Opt-in (P11d benefit) comprehensive private medical cover with Bupa and cash plan with Medicash. Dental Cover: Opt-in (P11d benefit). Cycle to Work Scheme: Salary sacrifice bike purchase scheme. Pension Plan: Qualifying earnings or opt-in 4% contributory match schemes offered.
Задачи: — Ведение игровых трансляций голосом, без показа лица. Требования: — Владение английским или итальянским языком на уровне C1 и выше. — Опыт не обязателен, обучение предоставляется. — Для удалённой работы необходим iPhone и штатив. — Для работы в офисе вся техника предоставляется. Условия: — Работа удалённо из любой страны или в офисе в Москве. — Высокая оплата, состоящая из фиксированной части и бонусов.
Location: Нижний Новгород Команда центра мониторинга отвечает за безопасность наших клиентов и объектов. Здесь важна внимательность, быстрота реакции и готовность оперативно решать любые вопросы. Присоединяйтесь к нам, чтобы стать частью сильной и надежной команды. Обязанности ### Чем предстоит заниматься: * оперативное реагирование на инциденты безопасности * координация, контроль работы и обучение дежурной смены * взаимодействие с подразделениями Банка, подразделениями МВД, Росгвардии, МЧС Требования ### Ждём от кандидата: * образование среднее специальное/высшее * опыт работы в сфере обеспечения безопасности охраняемых объектов средствами пульта централизованного наблюдения * уверенное владение компьютером * умение использовать нейросети в повседневной работе Условия ### Что мы предлагаем: * стабильный оклад и социальную поддержку сотрудников * официальное оформление с первого дня * адрес офиса: г. Нижний Новгород, ул. Союзный, д. 3А, * график работы: сменный, 2/2 по 12 часов (смены: 7:30–19:30, 19:30–7:30) * расширенную медицинскую страховку с первого дня и льготное страхование семьи * возможность обучения через виртуальную школу Сбера * подписку Прайм с возможностью совместного использования на трёх близких * корпоративную пенсионную программу * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
Location: Intellias Meet your recruiter Kateryna Zemetska kateryna.zemetska@intellias.com https://www.linkedin.com... Vacancy details DevOps Engineering DevOps Engineering Lead Lead Bulgaria, Croatia, Poland, Portugal, Spain Remote APPLY NOW REFER A FRIEND Dive deep into Digital! For 20 years Intellias has been developing top-tier digital solutions for the world’s leading companies, keeping them in line with the latest technology trends. Join in and provide innovations for the future! What project we have for you Client is a leader in iGaming innovation, creating cutting-edge games and solutions, including the globally popular Aviator. They focus on redefining the online gambling experience with next-generation products tailored for dynamic and engaging gameplay. What you will do Own day-to-day leadership of the DevOps / System Engineering team, ensuring predictable delivery and operational stability. Plan, prioritize, and coordinate team workload in alignment with architects, product owners, and stakeholders. Ensure high availability, reliability, and security of cloud and on-prem infrastructure. Oversee infrastructure changes implemented via Terraform, Kubernetes, and automation tools, ensuring quality and consistency. Guide and review CI/CD pipelines, infrastructure designs, and operational practices without micromanaging implementation. Act as the first escalation point for delivery, operational, and environment-related issues. Balance delivery speed with compliance, security, and regulatory constraints. Support incident management, root-cause analysis, and post-incident improvements. Mentor team members, support onboarding, and help engineers grow technically and professionally. Drive continuous improvement of DevOps processes, tooling, and collaboration patterns. Communicate risks, dependencies, and progress clearly to both technical and non-technical stakeholders. Coordinate with other teams to ensure smooth integration, handovers, and shared responsibility models. Maintain documentation standards where needed, while avoiding unnecessary bureaucracy. Ensure accurate time tracking, reporting, and alignment with agreed delivery expectations. What you need for this 6+ years of experience in DevOps/Infrastructure Engineering with strong exposure to AWS-based environments. 2+ years of experience leading, mentoring, or managing DevOps / Platform / Infrastructure Engineering teams. Strong understanding of modern cloud-native architectures, Kubernetes ecosystems, Infrastructure as Code (Terraform), CI/CD practices, and platform engineering principles. Technical background in Linux-based environments, networking, security, observability, and production operations. Comprehensive understanding of the DevOps lifecycle, including configuration management, orchestration, CI/CD pipelines, monitoring, and security practices. Proven experience leading and managing a DevOps or System Engineering team (task planning, prioritization, workload distribution). Experience coordinating cross-functional initiatives involving engineering teams, architects, product managers, security teams, and business stakeholders. Experience running day-to-day delivery: sprint planning support, task tracking, dependency management, and delivery follow-up. Strong ownership mindset: accountable for team outcomes, stability of environments, and operational continuity. Ability to mentor engineers, support onboarding, and grow less-senior team members. Comfortable operating in a regulated or security-restricted environment, balancing delivery speed with compliance. Hands-on technical background sufficient to review designs, challenge solutions, and guide discussions, without being the main technical decision-maker. Clear communication skills, especially for explaining risks, trade-offs, and progress to non-technical stakeholders. Ability to identify process bottlenecks and drive incremental improvements in team efficiency and collaboration. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Ansible AWS DevOps English Kubernetes
Location: Munich, Germany 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 a Technical Deployment Lead on the Forward Deployed Engineering team, you will lead the delivery of custom agentic AI solutions for enterprise customers. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes Each engagement runs from SOW through production deployment. Forward Deployed Engineers build the technical solution; you drive the delivery plan, product scoping, stakeholder relationships, and the organizational complexity of deploying agents into complex enterprise environments. You need to be credible in architecture conversations with engineering leads and equally comfortable running executive briefings with C-suite sponsors. You won't write production code, but you'll pressure-test technical decisions and make real-time trade-offs on scope and priority when things go sideways on an engagement. This is also a builder's role. We're in the early innings of an emerging motion - the playbooks, the delivery patterns, the repeatable IP that makes the next engagement faster and better don't exist yet. The TDLs who thrive here are the ones who get that codifying what works is as important as the engagement in front of them right now. Responsibilities Own the technical delivery plan for each engagement. Work from the signed SOW to a sequenced roadmap with clear milestones, dependencies, success criteria, and value hypotheses that FDEs execute against. Lead delivery discovery. Map customer workflows and constraints in depth, pressure-test the scoped MVP against what you find, and shape the solution architecture with the FDEs. Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. Own product scoping during delivery. Author requirements, prioritize the engineering backlog, manage scope against success criteria, and hold the bar for what good looks like for the people and enterprises who will use the product. Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders. Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors. Contribute reusable delivery patterns. Capture what works on your engagements and feed field signal to the Programs Leads, Product, and Research. Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics. Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed. Run engagement-level delivery operations: sprint ceremonies, milestone reviews, and engagement reporting that feed the team's post-sales cadence and dashboards. Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (up to 25–50% travel expected). You May Be a Good Fit If You Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role. Operate like the CEO of your engagement. You take initiative without a mandate, make decisions with incomplete information, and lead rather than wait for instructions. Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Have experience in a specialized vertical (life sciences, pharmaceutical, retail, mining, agriculture, etc.). Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs. Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making - ideally across multiple workstreams in regulated industries. Have executive presence - polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments. Thrive in ambiguity and bring structure where none exists. Have a builder's mindset - you're here to create a function, not just join one. 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.
Location: Москва Центр Квантовых Технологий Сбера разрабатывает квантовый компьютер и аналоговые вычислители — проекты на стыке электроники, фотоники и точного приборостроения. Мы ищем опытного инженера-конструктора для создания оптоэлектронных и электронных устройств: от требований и предварительной компоновки до изготовления, сборки и испытаний. Вы будете самостоятельно выбирать и обосновывать конструктивные решения, учитывать точность, жесткость, тепловые режимы, технологичность и стоимость. В команде вы будете работать вместе со специалистами по механике, оптике, электронике и фотонике, а также взаимодействовать с производством и подрядчиками. Это возможность влиять на создание сложных прецизионных устройств и видеть результат своей работы в действующих прототипах. Обязанности * Разработка конструкций оптомеханических и электронных устройств: от требований и предварительной компоновки до изготовления и испытаний * выбор и обоснование конструктивных решений с учетом точности, жесткости, тепловых режимов, технологичности и стоимости * создание параметрических 3D-моделей, сборок и компоновок в MCAD * подготовка и проверка чертежей, спецификаций и другой конструкторской документации * расчет допусков, посадок и размерных цепей, определение требований к изготовлению и контролю деталей * подбор материалов, покрытий, крепежа, стандартных и покупных компонентов * проектирование деталей под фрезерную и токарную обработку, листовой металл и аддитивное изготовление * проведение тепловых и прочностных расчетов, оценка деформаций и их влияния на работу устройства * разработка креплений, юстировочных механизмов и прецизионных узлов для оптических компонентов * согласование компоновки и механических интерфейсов с разработчиками оптики, электроники и фотоники * организация и практическое участие в сборке, юстировке и испытаниях прототипов * поиск и устранение причин механических, тепловых и сборочных проблем * взаимодействие с производством и подрядчиками: согласование технологий, контроль изготовления и приемка деталей * доработка конструкции по результатам испытаний, подготовка к повторяемому изготовлению и сопровождение изменений * техническое ревью конструкций. Требования * Получили профильное высшее техническое образование в области приборостроения, мехатроники, оптотехники или по смежной специальности * имеете опыт самостоятельной разработки сложных приборов или механических узлов — от постановки задачи до изготовления, сборки и испытаний * можете показать примеры реализованных конструкций и объяснить принятые решения, возникшие проблемы и результаты доработок * уверенно владеете одной из механических CAD-систем: SolidWorks, КОМПАС-3D, Autodesk Inventor или аналогичной и готовы при необходимости перейти на CAD-систему, принятую в команде * умеете создавать и поддерживать параметрические модели сложных сборок и выпускать полный комплект конструкторской документации * уверенно работаете с допусками, посадками, геометрическими допусками и размерными цепями * умеете выполнять инженерные расчеты, выбирать расчетные модели и граничные условия, оценивать достоверность результатов * понимаете влияние температурных деформаций, жесткости, вибраций и сборочных погрешностей на точность и стабильность устройства * знаете свойства конструкционных материалов и покрытий и умеете обоснованно выбирать их под условия эксплуатации * понимаете возможности и ограничения фрезерной, токарной и листовой обработки, умеете проектировать технологичные детали * имеете практический опыт сборки, измерений, испытаний и доработки устройств * умеете взаимодействовать с производством, разбирать отклонения и находить решения, которые можно изготовить и проверить * способны самостоятельно работать с неполными исходными данными, уточнять требования и доводить задачи до работающего результата * готовы брать ответственность за технические решения, качество и сроки выполнения своих задач * можете читать техническую документацию на английском языке. **Будет плюсом:** * проектировали оптомеханические, измерительные, лабораторные или фотонные устройства * разрабатывали прецизионные механические узлы, юстировочные механизмы и конструкции с высокой термостабильностью * знакомы с принципами сборки и юстировки оптических систем * работали с Ansys, COMSOL или другими средствами конечно-элементного моделирования * работали с Zemax или участвовали в совместной разработке оптических схем и механических конструкций * проектировали корпуса и системы охлаждения электронных или серверных модулей * разрабатывали герметичные корпуса и конструкции для работы в широком температурном диапазоне * готовили устройства к серийному изготовлению, разрабатывали сборочную и контрольную оснастку * имеете опыт изготовления деталей на 3D-принтере, фрезерном или токарном оборудовании * проводили техническое ревью и помогали развиваться менее опытным инженерам. Условия * Комфортный офис в Москве * офисный формат работы * конкурентная компенсация (оклад и премии по результатам деятельности) * ДМС c первого рабочего дня, страхование от несчастных случаев и тяжелых заболеваний * материальная помощь и социальная поддержка, корпоративная пенсионная программа * дисконт-программы от компаний партнеров * бесплатный фитнес на территории работодателя * подписка Прайм с возможностью совместного использования на трёх близких * внешнее и внутреннее профессиональное обучение: семинары, тренинги, конференции, корпоративная библиотека.
Location: Paris, France 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. À propos du poste En tant que responsable du déploiement technique au sein de l'équipe Claude Agentic Solutions, vous aurez pour mission de fournir des solutions d'agents d'IA personnalisées aux entreprises clientes dans des secteurs hautement réglementés. Vous serez responsable d'engagements à forte valeur ajoutée dans le cadre de collaborations directes avec les clients en vue de créer et déployer des agents dans leurs processus métier les plus critiques. Vous ferez partie de l'équipe fondatrice : à ce titre, vous nous aiderez à élaborer des manuels techniques et à définir les processus et les modèles répétables nécessaires pour faire évoluer cette dynamique émergente. Vous assurerez le support de notre mission sur le terrain, assurerez une prestation de classe mondiale et ferez régulièrement part de vos observations à nos équipes en charge des produits et de la recherche. Vous serez responsable des engagements de bout en bout, du cahier des charges au lancement de la production. Vous travaillerez en collaboration avec les ingénieurs déployés sur le terrain qui conçoivent la solution technique, tout en prenant en charge la portée des produits, la gestion des parties prenantes, la mesure de la valeur et la complexité organisationnelle liée au déploiement d'agents IA dans des environnements d'entreprise. Vous devez posséder des compétences techniques suffisantes pour mener des discussions sur l'architecture avec les parties prenantes du secteur de l'ingénierie et suffisamment d'aisance pour présenter des exposés aux dirigeants dans le cadre de leurs missions. Responsabilités Gérer le planning technique de livraison pour chaque engagement. Structurer les cahiers des charges en précisant clairement le champ d'application, les étapes, les dépendances, les critères de réussite et les hypothèses de valeur. Traduire les objectifs commerciaux du client en feuille de route séquencée que les FDE exécutent. Superviser la découverte technique : cartographier les flux de travail clients, identifier les contraintes, définir le périmètre MVP et façonner l'architecture de la solution pour les déploiements d'agents personnalisés. Diriger l'exécution et la livraison des travaux d'ingénierie au quotidien au sein des équipes d'Anthropic et des clients. Assurer l'avancée des projets de manière fluide et séquencée. Effectuer des compromis en temps réel sur la portée et la priorité afin de préserver le chemin critique. Garantir la portée des produits pour les missions sur le terrain : d éfinir le MVP, rédiger la documentation des exigences, prioriser le backlog d’ingénierie et gérer le périmètre par rapport aux critères de succès à mesure que les exigences évoluent. Prenez en charge la relation client tout au long de la livraison. Organiser des briefings exécutifs, gérer les communications avec les parties prenantes concernant les responsables techniques et l'approvisionnement et représenter Anthropic auprès des hauts responsables commerciaux et techniques en termes de crédibilité technique. Maîtriser la mesure de la valeur et du ROI : définir les hypothèses d'impact, établir les bases de référence et les indicateurs clés de performance, effectuer des mesures avant et après le déploiement et communiquer les résultats aux commanditaires exécutifs. Codifier des modèles de solutions réutilisables, des cadres d'évaluation et des manuels techniques. Consigner les bonnes pratiques des différentes interactions et transmettre les signaux du terrain aux équipes Produit et Recherche afin d'améliorer notre plateforme et nos modèles. Naviguer dans la complexité des entreprises et des réglementations : audits de sécurité, approbations juridiques, processus d'approvisionnement, exigences de conformité et dynamique organisationnelle. Gérer la portée et le changement : gérer l'évolutivité des exigences, définir les attentes, négocier les modifications de contrats, identifier les risques en amont et les signaler avec un contexte clair, le cas échéant. Gérer les opérations de livraison : cérémonies de sprint, revue des étapes et rapports d'avancement. Se rendre sur les sites des clients pour nouer des relations, débloquer les livraisons et accélérer l'adoption (objectif de 25 à 50 %). Profil recherché Pus de 5 ans d'expérience en leadership technique auprès des clients. Cela peut concerner la gestion de l'engagement technique, la gestion de programmes techniques ou la gestion de produits techniques, les fondateurs/startups, les profils techniques connexes, les services professionnels, le conseil ou les logiciels d'entreprise. Avoir mis en production des solutions agentiques basées sur l'IA, le ML ou le LLM. Vous comprenez les modèles applicables aux solutions, les approches d'intégration et les réalités du terrain. Vous êtes capable de mener des discussions sur l'architecture avec les parties prenantes de l'ingénierie, d'évaluer les compromis techniques et de tester les décisions techniques sous pression. Vous n'écrirez pas de code de production, mais serez responsable de la direction technique des engagements aux côtés des ingénieurs déployés sur le terrain (FDE). Vous avez une expérience de la réalisation de projets techniques complexes et à fort enjeu pour des entreprises clientes, dont les résultats dépendent d'une coordination étroite et d'une prise de décision rapide, idéalement dans le cadre d'activités multiples au sein de secteurs réglementés. Vous avez une personnalité affirmée : vous êtes à l’aise, crédible et capable de représenter Anthropic auprès des hauts dirigeants dans des environnements à forts enjeux. Vous surmontez les contextes ambigus et apportez une structure là où il n'y en a pas. Vous avez une mentalité de bâtisseur : vous êtes ici pour créer une fonction, pas pour l'occuper. Atouts supplémentaires Expérience dans le domaine des services financiers, des soins de santé, des sciences de la vie ou de l'industrie pharmaceutique. Expérience dans une société d'ingénierie déployée sur le terrain ou dans des sociétés de services professionnels et de conseil. Compréhension exceptionnelle des capacités et des limites des LLM. Expérience avec les industries réglementées et les exigences de conformité. Expérience de la gestion d'équipes de livraison avec des ingénieurs intégrés sur les sites des clients. Familiarité avec les frameworks d'agents IA, les modèles d'utilisation d'outils et les architectures d'orchestration. About the Role As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors. Responsibilities Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against. Lead technical discovery: map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments. Run day-to-day engineering execution and delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. Own product scoping for field engagements: d efine the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve. Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders. Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors. Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models. Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics. Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed. Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting. Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected). You May Be a Good Fit If You Have 5+ years of customer-facing technical delivery leadership — this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software. Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs. Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple workstreams in regulated industries. Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments. Thrive in ambiguity and bring structure where none exists. Have a builder's mindset — you're here to create a function, not join one. Strong Candidates May Also Have Experience in financial services, healthcare/life sciences, or pharmaceutical verticals. Background at a Forward Deployed Engineering company or professional services and consulting firms. Exceptional understanding of LLM capabilities and limitations. Experience with regulated industries and compliance requirements. Experience managing delivery teams with embedded engineers at customer sites. Familiarity with AI agent frameworks, tool use patterns, and orchestration architectures. 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.
Задачи: — Планировать и проводить аудиторские проверки деятельности Банка на рынке ценных бумаг — Оценивать эффективность системы внутреннего контроля, управления рисками и корпоративного управления...
Опыт проектирования и поддержки архитектуры данных крупных систем (EDM), разработки и контроля интеграционных решений на базе Talend Studio и Talend Data Quality.