Вакансии

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity Grafana Labs is looking for an Enterprise Account Executive, Growth based in Spain who will be responsible for prospecting and growing existing business across the Middle East, Türkiye and Africa region . You will identify, nurture and close opportunities with existing customers. You will manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking about our products. Your expertise will be critical in helping articulate the value of our products. What You’ll Be Doing Identify new opportunities to expand Grafana usage within a set of current customers Meet and exceed individual quarterly and annual sales goals Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, negotiations and account management) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests What Makes You a Great Fit: 5+ Years of experience in infrastructure technology sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Experience selling to the Middle East region Fluent in English & Arabic Bonus Points For: Familiarity with open source technology is a significant advantage Experience using Salesforce Experience using Command of the Message and MEDD(P)ICC is ideal Compensation & Reward In Spain, the OTE compensation range for this role is EUR 170,000 - EUR 211,250 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Paris; New York; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The role Mistral is building a sovereign AI cloud. Our inference platform already serves production traffic at scale. We are hiring a Lead Product Manager to own the inference portfolio within our Cloud & Inference organization. You'll set strategy, write specs, sit with customers running production traffic, and work across our inference, infrastructure, and go-to-market teams to deliver real customer impact. Example problems you may work on include figuring out the next inference product we should launch to help our customers scale their AI workloads or how we cut fraudulent free-tier usage without adding friction for legitimate users. You will work on state of the art infrastructure, in close collaboration with our science and research engineering teams. Your job is to turn that infrastructure into products that AI-native startups and enterprises pay for, integrated with our developer platform Studio. You will operate as an individual contributor first — taking end-to-end ownership of complex and significant product lines — while building the foundation for the inference PM team as the portfolio grows. The size and shape of the team reporting into the role will be defined together with the VP Product once you're in place; from day one the expectation is hands-on product leadership, not people management. You will be the first PM fully dedicated to inference and the most senior product hire in the space. You will report to the VP Product - Cloud & Inference, and work day-to-day with our inference engineering teams in the US and Europe. What you'll do - Strategy and vision: define the vision, strategy, and annual goals for the inference portfolio, aligned with customer needs and company objectives. Benchmark the managed-inference field and pick where we win. - Roadmap and execution: own the full lifecycle for serverless inference, dedicated endpoints, and adjacent services. Prioritize, ship, measure, iterate. Economics: own adoption, revenue contribution, and gross margin for your products. Treat cost-per-token, unit economics, and capacity tradeoffs as product decisions, and partner with GTM, Finance and Marketing on pricing, packaging, and launches. - Customers: spend real time with AI-native startups and enterprises running advanced production workloads. Turn their constraints, like latency, throughput, compliance, and cost, into roadmap choices. - Engineering partnership: work daily with inference engineering and the cloud infrastructure teams behind our data centers on capacity planning, scheduling, routing, and reliability. - Research and open source: track open-source inference advances and emerging model architectures, and turn them into performance and efficiency gains for the product. - Team building: as the portfolio scales, help shape and grow the inference PM team — hiring, mentoring, and setting the product bar. What we're looking for - Deep product experience in tech and infrastructure with a track record of bringing inference, cloud infrastructure, or large-scale distributed systems to market. You have built robust, at-scale AI infrastructure first-hand. - An engineering background before moving into product management. - You have taken an infra or inference product from early stage to material revenue and adoption, owning complex and significant product lines end to end. - Player-coach disposition: you lead from the front — hands-on product work now, with the range and appetite to build and coach a team as we scale. - Fluency in the economics of the business: gross margin, unit economics, and the tradeoffs behind token pricing and GPU capacity. - High ownership and a strong bias for action. You prototype with AI coding tools, write your own specs, and unblock yourself without waiting for engineers or designers. - Low ego, comfort in ambiguity, and credibility with executives, engineers, and customers alike. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

О компании: " •••••••••• " — агентство, специализирующееся на сложных интерактивных digital‑проектах, UI/UX мирового уровня и веб‑разработке. Роль: QA Engineer (Middle) Обязанности: — Ручное тестирование frontend и backend — Разработка и актуализация тестерской документации — Регрессионное и исследовательское тестирование — Документирование багов в баг‑трекинговой системе — Взаимодействие с командой тестирования, разработки, лидом и аналитиком Требования: — Умение аргументированно отстаивать качество продукта и предлагать улучшения — Гибкость и умение адаптироваться к изменениям требований и процессов — Уверенное знание специфики и опыт работы с JSON — Глубокие навыки тестирования API (REST) — Понимание сетевых протоколов HTTP и инструментов работы с ними — Опыт работы с логами (Grafana, Kibana, Sentry) Условия: — Офис в Белграде или удалённая работа — Гибкое начало рабочего дня — Бесплатные корпоративные завтраки и обеды — Рабочее место оборудовано современной техникой — Отсутствие бюрократии — Компенсация 50% оплаты занятий по английскому языку

Location: Remote Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: Alpaca is growing its Treasury function as we scale our product suite, global footprint, and self-clearing operations. We are looking for a Financial Risk Manager to support the development and day-to-day execution of Alpaca's liquidity risk monitoring and stress testing program. This is a hands-on, analytical role for someone who wants broad exposure across Treasury, Finance, Operations, and Risk. You will work closely with the Head of Treasury and partner cross functionally to help maintain sound liquidity governance and produce rigorous analysis under both business-as-usual and stressed conditions. This role is responsible for building out Alpaca's liquidity risk infrastructure from the ground up. You will establish daily liquidity reporting, streamline data pipelines, implement intraday monitoring and stress testing capabilities, develop longer-term and Monte Carlo-based stress testing frameworks, and build the alerting and controls needed to support Treasury decision-making as Alpaca launches new products and expands into new markets. While the title reflects managerial scope over liquidity risk and stress testing workstreams, this is primarily an individual contributor role with opportunity to grow into broader leadership as the function matures. What You'll Do: Key Priorities This role will be responsible for building out the following core capabilities: Daily liquidity reporting and streamlined data pipelines Intraday liquidity monitoring Intraday stress testing Longer-term stress testing Monte Carlo simulations for stress testing Alerting frameworks and other necessary controls Daily Liquidity Reporting & Data Pipelines Build and own daily liquidity reporting, ensuring timely, accurate views of firm liquidity positions across products and legal entities Design and streamline data pipelines connecting Treasury, Finance, Operations, and clearing/settlement systems to reduce manual effort and improve data quality Help maintain broker-dealer liquidity reporting related to SEC Rule 15c3-1 (Net Capital), SEC Rule 15c3-3 (Customer Reserve), and related FINRA/SEC requirements Partner with Engineering and Data teams to automate reporting workflows using SQL, Python, and BI platforms Intraday Monitoring Build and maintain real-time and intraday liquidity monitoring capabilities to track cash positions, settlement flows, margin movements, and funding needs throughout the day Establish intraday liquidity metrics, limits, and early warning indicators (EWIs); investigate breaches and prepare escalation materials for Treasury leadership Support same-day funding and treasury operations decisions with timely liquidity analysis during market hours Intraday Stress Testing Develop and implement intraday stress testing capabilities to assess the impact of sudden market moves, margin calls, settlement disruptions, and customer activity spikes on firm liquidity Run and refine intraday stress scenarios in coordination with Treasury Operations and Risk teams Ensure intraday stress results are actionable for real-time decision-making Longer-Term Stress Testing Build out the firm's longer-term stress testing program, including scenario design, assumption documentation, model runs, and results reporting Develop and update stress scenarios — including market-wide and tail-risk events — to assess impacts on net capital, customer reserve, firm liquidity, and settlement flows across multiple time horizons Participate in integrated stress exercises with Market Risk, Credit Risk, and Operational Risk teams and help synthesize results for Treasury and Risk stakeholders Review and challenge assumptions used in stress models; flag areas requiring further review or remediation Monte Carlo Simulations Build and maintain Monte Carlo simulation models to complement deterministic stress testing and better capture the distribution of potential liquidity outcomes under adverse conditions Calibrate simulation inputs, validate model outputs, and incorporate results into Treasury liquidity planning and risk limit setting Alerting & Controls Design and implement alerting frameworks to notify Treasury leadership of limit breaches, deteriorating liquidity metrics, and stress test threshold breaches Build out the controls infrastructure necessary to support liquidity risk governance, including escalation protocols, documentation standards, and audit trails Prepare analysis and documentation for regulatory examinations, internal audits, and management reporting; coordinate with the Risk team as needed Cross-Functional Support Provide liquidity risk input in the New Product Approval (NPA) process, identifying potential funding and liquidity considerations for new asset classes, leveraged products, and international expansion Partner with Engineering, Product, and Operations to help stress-test margin engines, settlement workflows, and treasury systems Contribute to ERM deliverables such as the Risk Register and Key Risk Indicators (KRIs) in coordination with the CRO and Risk team Help document policies, procedures, and methodologies as the Treasury function scales Stay current on regulatory developments, industry stress events, and emerging liquidity risks in fintech and digital asset markets Who You Are (Must-Haves): 2-4 years experience in liquidity risk, treasury, financial risk, middle office, or balance sheet analytics within a broker-dealer, bank, or fintech environment Solid understanding of broker-dealer liquidity and capital requirements, including SEC Rules 15c3-1 and 15c3-3 Hands-on experience building or supporting liquidity reporting, data pipelines, and stress testing programs Experience with intraday liquidity monitoring, stress testing, or real-time risk reporting Familiarity with Monte Carlo simulation techniques or probabilistic risk modeling Familiarity with Treasury operations, cash management, and funding workflows in a regulated environment Working knowledge of risk governance concepts and how Treasury and Risk functions interact in a broker-dealer setting Proficiency in SQL and Python (or similar) for data analysis, pipeline development, reporting automation, and working with large datasets Strong attention to detail and ability to produce clear, well-structured analysis for senior stakeholders Comfortable working cross-functionally in a fast-paced, remote-first startup environment Who You Might Be (Nice-to-Haves): Experience at a self-clearing broker-dealer or carrying/clearing firm Experience building alerting, monitoring, or controls frameworks from scratch Exposure to SPAN, TIMS, or margin methodologies and their liquidity implications Familiarity with crypto/digital asset liquidity risk or 24/5 trading environments Experience supporting SEC/FINRA examinations or internal audit requests Knowledge of international regulatory frameworks across Alpaca's global subsidiaries FRM, CFA, or similar certification (or in progress) Prior experience in a high-growth fintech where processes and frameworks are still being built How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Paris; Zurich; Warsaw; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE RESEARCH ENGINEERING TEAM   The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research↔production spectrum as needs or interests evolve.   As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, you’ll either join:   - Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or - Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, Safety …) and turn fresh ideas into repeatable, scalable code.     What You Will Do   • Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools. • Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. • Design, implement and benchmark ML algorithms; write clear, efficient code in Python. • Deliver prototypes that become production-grade components for Vibe and our enterprise API.   What We're Looking For   • Master’s or PhD in Computer Science (or equivalent proven track record). • 4 + years working on large-scale ML codebases. • Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s). • Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops. • Strong software-design instincts: testing, code review, CI/CD. • Self-starter, low-ego, collaborative.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Вакансия: QA Manual / Game QA (Junior–Middle, до 3 лет опыта). Сфера: Game Development. Кандидат должен находиться в Грузии, предпочтительно в Тбилиси. Требования: — Опыт в Manual QA до 3 лет — Любовь к компьютерным и/или консольным играм; активный игрок — Интерес к сфере Game Development — Понимание игровых механик, UX и пользовательских сценариев — Опыт ручного тестирования или сильный интерес к тестированию игровых проектов — Умение находить, воспроизводить и подробно описывать баги — Внимательность к деталям и аналитический склад мышления — Навык работы с документацией и тикет-системами — Готовность быстро погружаться в новые проекты и взаимодействовать с командой Обязанности: — Ручное тестирование игровых проектов — Проверка игровых механик, интерфейсов и пользовательских сценариев — Поиск, фиксация и описание багов — Анализ изменений и регрессионное тестирование — Взаимодействие с разработчиками, PM и другими участниками команды — Участие в развитии процессов тестирования Условия: — офис в Тбилиси на испытательный срок, далее возможен гибрид.

Location: New York; Austin ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Your responsibilities will include: In this role you will lead and grow Mistral AI's partnerships with OEMs, driving joint go-to-market (GTM) initiatives and expanding business opportunities across both organizations. You will serve as the primary owner of the relationship with Hardware OEMS, aligning cross-functional teams and executive stakeholders to deliver measurable business impact. Success in this role means building strong executive-level relationships, driving OEM deals, and building a best-in-class Partner OEM team. You will play a critical role in shaping partnership strategy, influencing product collaboration, and ensuring Mistral AI fully leverages Hardware OEMs’ ecosystem, programs, and resources to accelerate revenue and market presence. WHAT MAKES YOU A QUALIFIED CANDIDATE - 15+ years of experience working with hardware OEMs in solution sales, direct sales or channels - Proven track record managing complex partner relationships and driving measurable business outcomes - Strong experience in alliance management within the high-tech industry at strategic and operational levels - Demonstrated ability to engage and influence senior leadership and C-level executives - Strong knowledge of Sovereign AI frameworks and offerings NICE-TO-HAVE QUALIFICATIONS - Experience developing and executing GTM strategies and business plans with partners - Strong understanding of Hardware OEM's business model, products, programs, and funding structures - Ability to identify and scale new business opportunities through partnerships - Excellent relationship-building, communication, and stakeholder management skills - Strong organizational skills with the ability to manage multiple priorities and touchpoints - High energy, entrepreneurial mindset, and results-driven approach WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Задачи: — Разработка и поддержка моделей данных в dbt — Проектирование аналитических сущностей и витрин — Работа с Data Vault 2.0: hubs, links, satellites, marts — Написание и оптимизация SQL-запросов — Описание данных и подготовка технической документации на английском языке — Анализ источников данных и согласование бизнес-правил — Участие в развитии CDP-контуров: клиентский профиль, события, атрибуты, сегменты — Проверка качества данных и базовая data validation Требования: — Фокус: CDP, DWH-модели, dbt, Data Vault 2.0 — Стек: SQL, dbt, Data Vault 2.0, Data Modeling, Source-to-Target Mapping, Data Documentation in English — Опыт работы аналитиком данных / analytics engineer от 3 лет — Уверенный SQL — Практический опыт с dbt — Понимание принципов моделирования данных — Опыт или хорошее понимание Data Vault 2.0 — Умение документировать данные, метрики и бизнес-правила — Готовность писать описание данных на английском языке — Самостоятельность на уровне Middle+: умеет разбираться в источниках, задавать правильные вопросы и доводить модель до production-ready состояния Будет плюсом: — Опыт в CDP / CRM / customer analytics — Опыт работы с DWH и витринными слоями данных — Понимание event-driven данных и клиентских событий — Опыт описания data contracts, data lineage или business glossary

Вакансии таргетологов и специалистов по трафику с различными условиями работы и зарплатами. Примеры вакансий: - Таргетолог (ВК) в рекламном агентстве, удалённая работа. - Специалист по трафику, удалёнка. - Таргетолог, реклама, карго. - Закупщик рекламы, медиабайер, трафик-менеджер в компании "Империя Мужчин", удалёнка, зарплата от 5 000 до 15 000 руб. - Ассистент по рекламе, внимательность, ответственность, готовность учиться, удалёнка, зарплата на собеседовании. - Таргетолог с опытом работы с Meta Ads, ИИ-инструментами, лидогенерацией, дизайном в SF Marketing Agency, удалённо, $1200/мес + бонусы. - Таргетолог с опытом работы с Meta, TikTok, Telegram Ads, Яндекс, Гугл в развивающейся компании, комфортный офис. - Middle / Senior Media Buyer Facebook в Scrooge team, удалённо, высокая процентная сетка + прогрессивный фикс. - Таргетолог в Дубае. Также представлены вакансии директологов, маркетологов, менеджеров проектов и других специалистов в сфере маркетинга и рекламы с разными условиями работы и зарплатами. Вакансии преимущественно с удалённым форматом работы, зарплаты варьируются от 5 000 руб. до $3 000 и выше, в зависимости от позиции и компании.

Location: Paris; Amsterdam; Linz; Munich; London; Berlin Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB Mistral AI is looking for a Domain Expert in crashworthiness simulations to help build AI-accelerated simulation capabilities for industrial engineering. You will work at the intersection of industrial simulation, physics modeling, machine learning, and engineering workflows. Your role is to bring deep solid-mechanics expertise into the design, training, evaluation, and deployment of AI Physics Models for real engineering use cases. This is a hands-on technical role. We are looking for someone who understands industrial structural simulation not only conceptually, but through direct experience with simulation models, solver workflows, data generation, validation, and engineering decision-making. You will work with research, product, and customer-facing teams to ensure that our models are useful against real engineering standards — not only benchmark metrics. Relevant application areas may include automotive crashworthiness, aerospace structures, consumer-electronics drop/reliability, manufacturing, durability/fatigue, and other nonlinear structural mechanics problems. WHAT YOU WILL DO - Work with our research team to define, generate, and iteratively improve simulation datasets for training and evaluating crashworthiness foundation models, balancing coverage of relevant physical scenarios, simulation fidelity, and computational cost. - Design and run high-fidelity simulation campaigns using structural mechanics solvers such as Abaqus, LS-DYNA, Ansys Mechanical, Radioss or equivalent tools. - Define the relevant variation space for training data: geometry, mesh resolution, material behavior, boundary conditions, loading, contact, joints, failure modes, and engineering KPIs. - Build or guide automated pipelines for simulation setup, execution, post-processing, dataset creation, and model evaluation. - Work with research teams to train and evaluate AI models on simulation data, and diagnose failure modes caused by data gaps, poor coverage, numerical artifacts, or model limitations. - Evaluate model outputs against industrial engineering needs, including field-level accuracy, scalar KPIs, deformation modes, load paths, energy absorption, stress/strain fields, failure indicators, uncertainty, and out-of-domain behavior. - Work with industrial customers to understand their simulation workflows and engineering priorities, define use cases and success criteria, and incorporate their feedback into model development and validation. ABOUT YOU - You have deep expertise in crashworthiness, solid mechanics, and structural mechanics, with substantial experience in industrial simulation workflows. - You have a Master’s degree or equivalent technical depth in mechanical engineering, aerospace engineering, civil/structural engineering, computational mechanics, applied physics, or a related field. - You have 4+ years of relevant industrial experience (or PhD +1 years) in domains such as automotive, aerospace, and consumer electronics. - You have hands-on experience with explicit dynamics for crash or impact simulation and understand nonlinear FEM and related topics such as contact, plasticity, structural dynamics, buckling, material modeling, fracture/damage, fatigue, crashworthiness, or durability. - You have direct experience with simulation validation, correlation, model quality, numerical sensitivity, and engineering KPI definition. - You are a strong Python developer who can build and maintain reliable tools for simulation automation, data processing, and model evaluation. You apply sound software engineering practices, including version control with Git, automated testing, code review, and clear documentation. - You have hands-on experience working in Linux and HPC environments, including submitting and monitoring batch jobs, selecting appropriate compute resources, and troubleshooting simulation workflows. You can run simulation campaigns efficiently across a compute cluster. - You are comfortable operating in ambiguous technical environments and turning poorly defined industrial problems into scoped datasets, experiments, metrics, and execution plans. - You communicate clearly with both deep technical experts and non-specialist stakeholders. IT WOULD BE GREAT IF YOU - Have experience applying machine learning, surrogate modeling, reduced-order modeling, optimization, or data-driven methods to simulation problems. - Have contributed to reusable internal tools, open-source code, simulation automation frameworks, or production-quality engineering workflows. - Have experience working directly with industrial customers, product teams, or engineering decision-makers. - Have publications, patents, internal technical leadership, or recognized contributions in engineering, simulation, computational mechanics, or ML-for-physics communities. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Задачи: — Разработка микросервисов управления данными Модели Космической Системы — Разработка пайплайнов обработки данных ETL/ELT — Интеграция вычислительных модулей (микросервисов) — Реализация процессов контроля качества данных — Разработка моделей данных и согласование дата-контрактов — Работа с СУБД Postgres, Clickhouse — Обработка и анализ данных в Pandas, NumPy, Polars Требования: — Инженерное или техническое образование (обязательно) — Опыт разработки на Python от 3х лет, на позиции Middle - от 1 года — Опыт работы с библиотеками для анализа данных: Pandas, NumPy, Polars — Понимание принципов проектирования и работы с хранилищами данных — Опыт работы с базами данных PostgreSQL, ClickHouse — Опыт работы с инструментами ETL/ELT (например, Airflow, Dagster, PandasETL) — Понимание принципов работы систем потоковой обработки данных — Опыт в разработке веб-приложений (FastAPI) — Опыт работы с контейнерами Docker — Опыт работы с инструментами командной разработки: Confluence, Jira, Git

Задачи: — Создание и проработка игрового окружения — архитектура, интерьеры, техника, пропсы — Моделирование game-ready ассетов и их подготовка для Unreal Engine — UV-развёртка и работа с материалами — Сборка и наполнение сцен в UE5 — Работа в рамках существующего художественного и технического пайплайна проекта — Самостоятельная проработка недостающих деталей окружения и поиск подходящих референсов — Взаимодействие с Level Design, концепт-художниками и другими участниками команды Требования: — Уровень Middle+ и уверенный опыт работы с игровым 3D-окружением — Уверенное моделирование архитектуры, интерьеров и пропсов — Хорошее понимание масштаба, композиции и визуального контекста окружения — Умение самостоятельно принимать художественные и технические решения, когда задача поставлена не полностью — Понимание требований real-time и особенностей создания game-ready ассетов — Опыт работы с Unreal Engine — Умение работать с существующим пайплайном и подстраиваться под стиль проекта — Хорошая насмотренность в играх и понимание того, как устроено игровое окружение Большой плюс: — Опыт самостоятельной проработки небольших участков окружения от идеи до готовой сцены — Работа с декалями, trim sheets, vertex paint и другими инструментами UE5 — Понимание оптимизации и performance — Хорошее понимание lighting в Unreal Engine — Опыт работы с техникой, механическими объектами и сложными пропсами — Базовое понимание Level Design и того, как окружение взаимодействует с игровой логикой и перемещением игрока Важный момент: — Нам не столько важно увидеть в портфолио набор максимально сложных технических работ, сколько понять уровень самостоятельности и мышления специалиста. — Портфолио должно показывать уверенную работу с игровым окружением. — На собеседовании можем провести небольшое практическое задание в реальном времени, чтобы посмотреть, как вы принимаете решения, работаете с задачей и ориентируетесь в Unreal Engine. Условия: — Удалённая работа — Фуллтайм — Работа над оригинальным мультиплеерным шутером на UE5

Задачи: — Анализ и декомпозиция бизнес и системных требований, формализация задач для разработки; — Проектирование API (REST), описание контрактов в Swagger/OpenAPI, работа с JSON/JSON-Schema; — Моделирование процессов и архитектурных взаимодействий; — Участие в проектировании синхронных и асинхронных интеграций; — Согласование требований со смежными командами; — Участие в грумингах, планировании спринтов, демонстрациях функционала; — Постановка задач техническим писателям по выпуску документации; — Ведение внутренней базы знаний в Confluence; — Валидация технических текстов: проверка статей разработчиков на читаемость, структуру и терминологию; — Сбор и структурирование информации от разработчиков и продукт-менеджеров для публикации. Требования: — Опыт работы системным аналитиком от 3 лет (уровень Middle); — Опыт применения нотаций UML и BPMN для описания архитектуры и процессов; — Опыт работы в Cloud Native-среде (Kubernetes/OpenShift); — Опыт работы с очередями сообщений (Kafka, RabbitMQ); — Опыт работы с инструментами генерации документации; — Опыт написания технической документации; — Английский язык на уровне чтения технической документации; — Знания Jira, Confluence, Swagger/OpenAPI, Markdown, Git; — Понимание принципов интеграций: REST, JSON/JSON-Schema, базовое знание SQL. Будет преимуществом: — Понимание специфики разработки на Golang и JavaScript/TypeScript. Условия: — Работа на стыке современных технологий; — Взаимодействие с сильной командой экспертов в своей области; — Представлять компанию в сообществе (участие в конференциях, митапах, публикации); — Трудоустройство согласно ТК РФ в IT-компании со всеми соответствующими бонусами; — Заработная плата состоит из оклада и квартальной премии; — График работы 5/2 пн-пт, гибкое начало дня, удаленка; — Социальный пакет (ДМС, оплата мобильной связи); — Обучение внутри компании и на внешних курсах; — Корпоративная программа лояльности (профессиональное обучение, фитнес-активности, обучение языкам и тд).

Зона ответственности: — Анализ источников данных: проведение детального анализа систем-источников (базы данных, API, файлы). — Разработка технических требований: создание детальных спецификаций на извлечение (Extract), преобразование (Transform) и загрузку (Load) данных, включая описание бизнес-логики преобразований. — Участие в проектировании и описании структур данных в хранилище совместно с архитектором и разработчиками. — Формализация бизнес-логики: описание сложных расчетов, правил агрегации, условий очистки и обогащения данных, требований к конвертации и стандартизации. — Составление технической документации: паспорта источников данных, спецификации на пайплайны, схемы потоков данных. — Анализ бизнес‑процессов в парадигме AS‑IS → TO‑BE: выявление разрывов, определение целевых состояний. — Подготовка идей по реализации. — Сверка данных в разных источниках. Наши ожидания: — Наличие сертификатов по 1С. — Высшее техническое или экономическое образование. — Опыт работы системным или бизнес-аналитиком в области данных/финтеха от 3-х лет. — Уровень: Middle+. — Знание нотаций BPMN и UML. — Знание методик тестирования - опыт написания Use-cases и Test-Cases. — SQL. — Разработка технических заданий. — Умение читать и составлять диаграммы (ER, DFD, BPMN, UML). — Внимательность к данным и проверке, понимание IT-инфраструктуры. Мы предлагаем: — Работу в компании с безупречной репутацией - все по ТК. — Высокий уровень заработной платы и годовой бонус. — С 10.00 до 19.00, 5/2 в офисе. — Комфортный офис класса "А" м. — «Серпуховская». — Заботу о здоровье - оформим полис ДМС и компенсация абонемента в фитнес-зал. — Возможность посещать бесплатные занятия по волейболу и йоге. — Выездные и тематические корпоративы. — Развитие и обучение - у нас есть Книжный Клуб, Стратегические сессии, корпоративное и персональное обучение. — Участие в формировании процессной архитектуры компании с нуля. — Возможность влиять на решения, быть экспертом и инициатором изменений. — Комбинация проектных задач, аналитики, автоматизации и развития.

Обязанности: — Ведение 10–12 аккаунтов, публикации постов, Reels, Stories по контент-плану — Объём на аккаунт: около 12 постов, 60 описаний Reels, готовые сценарии, ежедневные Stories — Модерация комментариев, ответы в личных сообщениях, проведение конкурсов и активностей, поддержание tone of voice — Аналитика охватов, ER, переходов, заявок; ежемесячные отчёты руководству Требования: — Уровень Middle, опыт работы в SMM от 6 месяцев до 2 лет — Обязательное наличие портфолио — Базовое понимание SMM, тренды Reels, работа по готовым шаблонам и структурам — Навык комьюнити-менеджмента — Владение планировщиками и аналитическими сервисами — Опыт работы в нише желателен — Ответственность, системность, внимательность, качество в типовых задачах Условия: — Зарплата 80 000–120 000 рублей до вычета налогов — Удалённая работа, полная занятость 40 часов в неделю, гибкий график — Важно быть на связи и сдавать задачи в срок — Трудоустройство через ИП — Испытательный срок 1 месяц — Долгосрочный найм, горизонтальный рост — Автоматизированные процессы, наличие шаблонов

Задачи: — Разрабатывать и развивать backend-сервисы на Go в микросервисной архитектуре — Проектировать REST и gRPC API, интеграции с внешними системами и брокерами сообщений — Работать с PostgreSQL и MySQL, проектировать схемы данных, оптимизировать запросы и транзакции — Использовать Redis для кэширования и взаимодействия между сервисами — Обеспечивать производительность, масштабируемость и отказоустойчивость сервисов — Писать unit- и интеграционные тесты, участвовать в код-ревью — Участвовать в проектировании архитектуры, декомпозиции и оценке задач, планировании релизов — Сопровождать сервисы после релиза, анализировать логи, метрики и инциденты Требования: — Опыт коммерческой разработки на Go от 3 лет для уровня Middle+ и от 6 лет для Senior — Уверенное знание Go, стандартной библиотеки, goroutines, channels, context и sync-примитивов — Опыт разработки микросервисов, проектирования API и интеграций между сервисами — Практический опыт работы с PostgreSQL или MySQL, включая индексы, транзакции и оптимизацию SQL-запросов — Опыт использования Redis и одного из брокеров сообщений в production — Опыт работы с Docker, Git, Linux и CI/CD — Навыки написания unit- и интеграционных тестов, профилирования и диагностики сервисов — Понимание принципов SOLID, паттернов проектирования, обработки ошибок и логирования — Опыт участия в код-ревью и архитектурных обсуждениях — Самостоятельность, системное мышление и готовность отвечать за результат Будет плюсом: — Опыт работы в финтехе, телекоме или облачных платформах — Опыт разработки высоконагруженных и распределённых систем — Практический опыт эксплуатации сервисов в Kubernetes — Опыт работы с Prometheus, Grafana, OpenTelemetry и системами алертинга — Понимание принципов репликации, шардирования, ретраев и backpressure — Участие в расследовании production-инцидентов и улучшении SLO и SLA — Опыт работы с SIP, WebRTC или сервис-мешами — Практика профилирования Go-сервисов с помощью pprof — Опыт менторства менее опытных разработчиков Условия: — Подработка — Оформление: Договор ГПХ с ИП, с физлицом — График: 5/2 — Формат работы: удалённо

Location: Tokyo Workplace: Hybrid Data Sales Director, Japan International Data Sales | ICEYE ROLE HIGHLIGHTS Job title: Data Sales Director Location: Tokyo, Japan Department: International Data Sales Reports to: Head of International Data Sales Employment type: Permanent Workplace model: Tokyo, Japan, with national and international travel Security: Employment is subject to applicable security screening, as required for defence-related roles in Japan WHY THIS ROLE MATTERS As a Data Sales Director for Japan, you'll be at the forefront of ICEYE's commercial growth: hunting, cultivating, and closing data sales opportunities across the Japanese market. You'll build strategic relationships with defence, intelligence, and security customers in a country with deep roots in advanced technology and a growing focus on sovereign geospatial capability, driving adoption of the world's leading SAR satellite constellation. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1,000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Own territory planning and execute end-to-end sales campaigns across Japan, from lead generation through to contract close - Initiate and develop executive-level relationships with defence, intelligence, and security customers across Japan, directly and through the agency and vendor ecosystem - Lead contract negotiations and deliver customised proposals in coordination with marketing - Build and manage a healthy customer pipeline, accelerating adoption of ICEYE's satellite imagery data and products - Work with partners to extend reach and identify new opportunities across the assigned territory - Ensure long-term customer success and satisfaction within key strategic accounts - Engage with Japanese defence procurement frameworks and government contracting processes (e.g. ATLA, Ministry of Defense) to position ICEYE effectively in the region WHAT WE'RE LOOKING FOR Must Haves - Proven track record in a hunting sales role within the Japanese market - Extensive existing customer network across Japan, particularly in defence, intelligence, or security sectors - Demonstrated ability to lead complex contract negotiations and close high-value deals - Self-motivated and able to manage a pipeline independently with a high degree of autonomy - Strong verbal and written communication skills in Japanese and English Nice to Haves - Background in geospatial, satellite imagery, or Earth Observation sales - Experience in Aerospace and Defence, consulting, or other relevant tech-focused industries - Familiarity with the agency and vendor ecosystem in the Japanese and wider Asia-Pacific defence and intelligence market - Understanding of Japanese sovereign defence programmes and procurement structures WORKING AT ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible, we set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious, go deep, ask questions, listen carefully, and think critically. Understand the 'why' behind decisions. - See the big picture, stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork, create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team, we win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun, what we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, we'll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Задачи: — Проводить технические аудиты C# / Unity разработчиков. — Проверять знания C# и Unity 3D. — Оценивать понимание архитектуры игровых проектов и принципов построения игровых систем. — Проверять знания Git / GitHub. — Оценивать понимание P2P-соединений и сетевого взаимодействия. — Анализировать выполнение технических заданий и код кандидатов. — Проводить дополнительные вопросы по ответам и решениям кандидата, чтобы определить глубину его знаний. — Выявлять сильные и слабые стороны разработчика. — Определять реальный технический уровень кандидата: Junior / Middle / Middle+ и т.д. — Формировать итоговое техническое заключение и рекомендацию по кандидату. — Взаимодействовать с HR и руководством при принятии решений по техническому найму. Требования: — Уверенное знание C# и Unity 3D. — Хорошее понимание архитектуры игровых проектов. — Понимание принципов ООП, SOLID и построения игровых систем. — Знание Git / GitHub. — Умение самостоятельно разбирать чужой код и находить технические проблемы. — Способность отличать поверхностное знание от реального понимания технологий. — Умение задавать правильные дополнительные вопросы и углубляться в ответы кандидата. — Способность объяснять технические выводы простым и понятным языком. Будет большим плюсом: — Опыт проведения технических собеседований. — Опыт проведения code review. — Опыт работы в роли Senior Developer / Tech Lead. — Опыт формирования технических команд. — Опыт оценки разработчиков при найме. Условия: — Полностью удалённый формат. — Гибкий график. — Работа по мере необходимости проведения технических аудитов. — Возможность влиять на формирование технического состава текущих и будущих GameDev-проектов студии.