Вакансии

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a hands-on Physical Security Systems Technician to support deployment, validation, and maintenance of physical security infrastructure across our sites throughout the United States. This role is based in New York,  and requires frequent travel to support installations, upgrades, testing, and operational activities at multiple locations nationwide. The ideal candidate combines strong physical security systems knowledge with practical IT infrastructure experience, including networking, Windows/Linux systems, storage platforms, and log analysis. They will ensure systems are properly deployed, validated, documented, and production-ready. Key Responsibilities Installation & Support Install, configure, and maintain CCTV systems (cameras, NVRs/DVRs, VMS) Support access control systems (badging, controllers, readers, permissions) Perform hardware replacements (cameras, readers, controllers, cabling components) Troubleshoot physical security system issues across network, hardware, operating system, and application layers Support Windows and Linux-based systems supporting physical security platforms Assist with storage systems used for video retention and evidence management Testing & Validation Execute system testing after installations and changes Develop and run Site Acceptance Testing (SAT) procedures for new deployments Validate system performance, coverage, failover scenarios, storage retention, and compliance with design requirements Identify, track, and help resolve issues found during testing Verify network connectivity, device health, and system integrations Documentation Produce and maintain accurate technical documentation (network diagrams, device inventories, configurations, system architecture) Create and maintain SAT reports, test cases, and validation checklists Document system changes, incidents, troubleshooting activities, and resolutions Ensure documentation is structured, standardized, and audit-ready Deployment & Operations Support system upgrades, migrations, and new site rollouts Work with vendors and integrators to ensure quality delivery Provide on-site and remote support across multiple locations throughout the United States Monitor and troubleshoot system logs to identify operational issues and root causes Ensure systems comply with internal standards and security requirements Required Qualifications 2+ years of hands-on experience with physical security systems (CCTV, access control) Experience installing and configuring cameras and access control hardware Experience with system testing, commissioning, SAT, or similar validation activities Ability to produce clear technical documentation and reports Solid IT infrastructure knowledge, including: Networking (TCP/IP, VLANs, routing basics, PoE, DNS, DHCP) Windows administration and troubleshooting Linux administration, services, logs, and basic troubleshooting Storage technologies and capacity management fundamentals Log analysis and troubleshooting using system and application logs Strong troubleshooting skills across hardware, software, operating systems, and networks Ability to work independently in remote locations with minimal supervision Valid driver’s license and ability to travel extensively throughout the United States Excellent communication and organizational skills Preferred Qualifications Experience with enterprise VMS platforms Familiarity with enterprise access control systems Experience in data center, critical infrastructure, or enterprise environments Knowledge of low-voltage cabling standards Exposure to structured testing methodologies (SAT, UAT, commissioning) Experience with monitoring, logging, and system health validation tools Familiarity with virtualization platforms and enterprise IT environments Key Traits Hands-on and execution-focused Detail-oriented and structured Strong sense of ownership for quality and completeness Clear and disciplined in documentation Strong analytical and troubleshooting mindset Comfortable working across multiple sites and environments Willing and able to travel extensively throughout the United States (up to 75%+ travel) Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $85,900 — $107,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Инновационная AI-платформа анализа геополитических и рыночных данных в реальном времени, обрабатывающая информацию из более чем 2000 первоисточников на разных языках (китайский, арабский, русский и др.). О роли: Мы ищем опытного Senior Java-разработчика, который возглавит масштабирование и оптимизацию нашего ядра агрегации данных. Вам предстоит проектировать высоконагруженные пайплайны, которые в реальном времени собирают миллионы текстовых данных, отправляют их на обработку нашим AI-моделям трансляции и анализа сентимента, а затем мгновенно доставляют инсайты клиентам. Основные задачи: • Проектирование архитектуры: Разработка масштабируемых, отказоустойчивых бэкенд-сервисов на Java; • Потоковая обработка данных (Stream Processing): Оптимизация систем сбора новостей и рыночных метрик в реальном времени; • Интеграция с AI/ML: Разработка эффективных API-прослоек для интеграции Java-сервисов с внутренними языковыми моделями (LLM) и инструментами NLP (перевод, извлечение сущностей, анализ тональности); • Оптимизация производительности: Поиск «узких мест» (bottlenecks), оптимизация работы с базами данных, снижение задержек (low-latency processing). Наш технологический стек: • Язык: Java 17+ (Spring Boot / Spring Cloud); • Big Data & Streaming: Apache Kafka / Pulsar, Apache Flink / Spark Streaming; • Базы данных: NoSQL (Elasticsearch/OpenSearch для мультиязычного поиска, MongoDB), SQL (PostgreSQL), Кэширование (Redis); • Инфраструктура: AWS (EC2, S3, EKS), Docker, Kubernetes, CI/CD pipelines. Что мы ждем от кандидата: • Опыт: От 5-6 лет коммерческой разработки коммерческого ПО на Java; • Highload: Уверенные знания concurrency, многопоточности и проектирования систем распределенных вычислений; • Работа с данными: Глубокое понимание принципов работы очередей сообщений (Kafka) и поисковых движков (Elasticsearch); • Язык: Английский язык на уровне Upper-Intermediate (B2) и выше для ежедневной коммуникации с распределенной международной командой; • Плюсом будет: Опыт работы в FinTech / RegTech проектах, парсинге веб-ресурсов или интеграции ML-моделей в продакшн (MLOps). Что мы предлагаем: • Гибкость: Полностью удаленный формат работы из любой точки мира; • Технологически сложный продукт: Работа на стыке Big Data, AI и глобальной рыночной аналитики; • Влияние на продукт: Минимум бюрократии, плоская структура и возможность напрямую влиять на архитектурные решения; • Профессиональный рост: Оплата профильного обучения, курсов и участия в международных конференциях; • Пакет: Конкурентная заработная плата (по результатам технического интервью) + опционы компании (Equity) для ключевых сотрудников.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Product Data Scientist, you will be a core member of Harvey's product development organization and one of the foundational members of the Data Science function. You will partner with Product, Engineering, Design, Go-to-Market, and company leadership to define how we measure product success, understand user behavior, and make high-quality decisions in a fast-moving environment. This role is both strategic and hands-on. You will define north-star and product-level metrics, design experiments and causal analyses, build source-of-truth reporting, and turn ambiguous product questions into clear recommendations. You should be comfortable operating where the data is imperfect, the product is evolving quickly, and the right answer requires both analytical rigor and strong product judgment. WHAT YOU'LL DO - Embed with Product and Engineering teams as a trusted analytical partner, identifying opportunities to improve user experience, adoption, retention, and business impact. - Define and maintain core metrics that create a shared understanding of product performance and customer value. - Design and evaluate experiments, including A/B tests and causal inference methods, to measure the impact of product, model, and workflow changes. - Analyze product usage, customer segments, and go-to-market signals to surface insights, size opportunities, and inform roadmap decisions. - Build dashboards, reports, and self-serve tools that help teams answer product questions with confidence. - Develop models, forecasts, and analytical frameworks to explain user behavior, detect anomalies, and guide prioritization. - Translate complex analyses into clear recommendations for technical, business, and executive audiences. - Partner with Engineering and Data teams to improve the infrastructure that powers analytics, experimentation, and decision-making. - Establish the standards, practices, and culture for Product Data Science at Harvey. WHAT YOU HAVE - 5+ years of experience in data science, product analytics, economics, statistics, or another quantitative field, ideally in a high-growth product company, AI company, research organization, or similarly ambiguous environment. - A strong track record of using SQL, Python, and statistical methods to answer product questions and turn analysis into product or business impact. - Experience defining new metrics and measurement frameworks from scratch, especially for products where usage patterns, customer value, or success criteria are still being discovered. - Deep fluency in experimentation, causal inference, A/B testing, and statistical modeling, with good judgment about when precision matters and when directional clarity is enough. - Strong product instincts and curiosity about how users adopt, evaluate, and expand their use of AI-enabled workflows. - Excellent written and verbal communication skills, including the ability to influence Product, Engineering, Go-to-Market, and executive stakeholders through clear reasoning and compelling data stories. - Comfort creating structure in fast-moving, ambiguous environments and raising the quality of decision-making for the teams. Bonus - Experience with AI/ML products, large language models, developer tools, enterprise software, or products used in complex professional workflows. - Experience as an early data science or analytics hire at a hyper-growth startup, including helping define team norms, tooling, and best practices. - Experience supporting enterprise or B2B products, including analysis of adoption, engagement, retention, expansion, or go-to-market motion. - Familiarity with modern data infrastructure and the practical tradeoffs involved in building reliable analytics in a rapidly evolving product environment. COMPENSATION $155,000 - $260,000 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-SB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Обзор позиции: Ищем продакта с опытом работы в трейдинге и с техническим бэкграундом. Роль предполагает формирование продуктовых фич под бизнес-цели, управление бэклогом и тесное взаимодействие с командой разработки для обеспечения качественных и быстрых релизов. Чем предстоит заниматься: • Формирование и развитие продуктовых фич под бизнес-цели; • Приоритизация инициатив на основе данных, инсайтов и рынка, управление roadmap (ROI, TTM); • Ведение бэклога (декомпозиция, user stories, AC); • Тесное взаимодействие с командой разработки: планирования, груминг, ретроспектива; • Совместные технические решения с тех.лидом и архитекторами; • Обеспечение быстрых и качественных релизов; • Принятие решений в условиях неопределённости и ограниченных ресурсов; • Работа с метриками, продуктовой аналитикой, A/B тестами и пользовательским поведением. Требования к кандидату: • Опыт работы от 3 лет в роли Product Manager / Product Owner в трейдинге или финтехе; • Понимание того, как устроен трейдинг и поведение пользователя; • Технический бэкграунд (80% коммуникации будет проходить с командой разработки); • Опыт работы с мобильными приложениями (iOS / Android); • Опыт быстрого вывода продуктов на рынок (короткий TTM). Будет плюсом: • Запуск продуктов с нуля, опыт в стартапах, наличие сертификаций CSPO, PSPO, SAFe PO/PM; • Успешные кейсы масштабирования продукта или выхода на новые рынки; • Опыт работы с AI/ML продуктами или интеграциями. Что мы предлагаем: • Прямое влияние на продуктовую стратегию компании; • Минимум бюрократии, высокая самостоятельность в принятии решений; • Работа в небольшой команде с развитыми горизонтальными связями; • Полностью удалённый формат сотрудничества и гибкие варианты оплаты.

Location: Barcelona, Spain; Madrid, Spain; Tenerife, Spain; Bolzano, Italy; Rome, Italy; Budapest, Hungary; Miskolc, Hungary; Petten, Netherlands; Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Bratislava, Slovakia; Bucharest, Romania; Bucuresti, Romania; Ljubljana, Slovenia; Vilnius, Lithuania; Nicosia, Cyprus; Pilsen, Czechia; Podgorica, Montenegro; Praha, Czechia; Banská Bystrica, Slovakia; Sofia, Bulgaria; Zagreb, Croatia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a dedicated Lead AI Aplication Engineer to join one of our clients' teams . If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Key Responsibilities: Build & Run the Shared AI Platform Architect and maintain a multi-tenant AI Platform that supports the full ML lifecycle across cloud and on-premises environments. Ensure high availability, low latency, and cost-efficiency for all shared AI resources. Implement LLMOps/MLOps best practices, including automated deployment pipelines for models. 2. Curate the AI Services Catalogue Develop and expose "as-a-service" capabilities: Inference-as-a-Service, Embeddings-as-a-Service, and RAG-as-a-Service. Standardize how squads interact with LLMs, providing unified APIs and abstraction layers to prevent vendor lock-in. 3. Manage AI Data Infrastructure Own the deployment and scaling of Vector Databases (e.g., Pinecone, Milvus, Weaviate) and Feature Stores (e.g., Feast, Tecton, Hopsworks). Optimize data retrieval patterns to support real-time AI applications and agentic workflows. Oversee Model Hosting environments, utilizing Kubernetes (K8s) and GPU orchestration to manage compute resources efficiently. 4. Enable Developer Self-Service Build and maintain a Self-Service Portal or CLI that allows product squads to provision AI environments, models, and data stores independently. Reduce "Time-to-Inference" for new features by providing pre-configured templates and blueprints. Conduct internal workshops and provide documentation to empower squads to use the platform effectively. Must-Have Technical Skills Infrastructure: Deep experience with Kubernetes (K8s), Docker, and Terraform/Pulumi. Hybrid Cloud: Proven experience managing workloads across AWS/Azure/GCP and On-Premises (NVIDIA AI Enterprise, OpenShift). AI/ML Tooling: Hands-on experience with vLLM, TGI (Text Generation Inference), or NVIDIA Triton for model serving. Databases: Expertise in Vector DBs and traditional SQL/NoSQL databases. Languages: High proficiency in Python and Go or Rust for platform tooling. Experience 8+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE). 2+ years specifically focused on building AI/ML infrastructure or platforms. Experience building Internal Developer Platforms (IDP) is a massive plus.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We’re looking for a Site Reliability Engineer to help build and run the fundamental part of Nebius - the Network - the infrastructure everything else depends on. This is an engineering-first SRE role: you’ll set clear reliability targets, build the tooling and automation to meet them, and make the network safer to operate as we scale quickly. Your responsibilities will include: Define and own reliability goals for network services and critical paths (SLIs/SLOs, availability targets, error budgets where it makes sense) Drive reliability improvements across the whole network: not only services, but also site readiness, inter-site connectivity (DCI), and operational standards Own incident response for your areas, lead investigations/postmortems, and turn failures into durable fixes (not repeated firefighting) Build and evolve observability: actionable metrics/logs/traces, alerting, and faster debug loops during and after incidents Design safer change workflows: automation, CI/CD, test/staging environments, canarying, rollbacks, and auditability for network changes Work closely with network engineers and platform teams to embed operability into designs and keep operations practical and fast We expect you to have: Strong production Linux fundamentals and a structured approach to debugging complex systems Solid understanding of networking basics and how real networks fail (control plane vs data plane, latency/loss, failure domains, etc.) Hands-on experience operating high-availability systems and improving them over time (not just “keeping lights on”) Ability to write and maintain software/automation (Go is common for us; Python is also welcome) Experience with modern infrastructure tooling (e.g., IaC, CI/CD, container platforms) and comfort automating operational workflows It will be an added bonus if you have: Experience with high-throughput traffic processing: load balancers, tunneling/decap, NAT64, or similar datapath-heavy systems Low-level networking performance/debug background (eBPF/XDP, DPDK, perf/ftrace, kernel networking internals) Experience building network-safe delivery pipelines (testing labs, staged rollouts, automated verification, drift detection) Background with large-scale network observability/telemetry (e.g., routing/flow telemetry, regression detection at scale) Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: Our customers build the frontier of AI on top of Nebius — training state-of-the-art models, running production inference at scale, shipping the research and products that define where the field is going next. We are building the AI cloud that the people building the frontier of AI choose deliberately — not on price, not on raw capacity, but on how it works to use it day to day. To do that, we are growing the AI Compute Platform product team and hiring multiple Technical Product Managers across the full surface of the platform. Your scope will be defined by what you bring. We will match your technical strengths, customer experience, and product instincts to the area of the platform where you can have the most impact. The platform is broad — and at our scale, every slice is mission-critical. If you want to help build the best AI cloud in the world — and you have the technical depth to engage engineering leaders as a peer (not as a translator) and the comfort to talk to customers directly — this team is for you. The platform you'll help build: Hardware platforms & launch — bringing new GPU and CPU platforms (GB300, Vera Rubin, ARM/Grace, future generations) to production with full launch readiness across the stack. Cluster lifecycle & fleet operations — new region launches, 100,000+ GPU cluster bring-up, platform sharding and allocation architecture, release engineering, host-lifecycle automation, operational efficiency. Reliability & Mission Control — autohealing, health checks, SLA, fault-tolerant training, MTTR reduction, customer trust at scale, observability as a product. Customer experience & developer surface — Compute APIs, console, CLI, IMDS and in-VM signals, self-service workflows, notifications, customer-facing observability, unified UX across the product line. GPU & InfiniBand foundational services — drivers, firmware, NCCL, IB/RoCE, NVLink topology, the foundational layer everything else builds on. Managed runtime platforms — Soperator (Slurm-on-Kubernetes) and MK8S (Managed Kubernetes for AI workloads), powering training and inference for frontier labs. Platform integrations & emerging workloads — Token Factory integration, RL and agentic workload infrastructure, capacity sharing, new business surfaces as they emerge. Cross-platform program & delivery — NVIDIA partnership programs, major-maintenance orchestration, cross-stream releases. You will own one of the slices of this platform end-to-end — from strategy and roadmap through delivery, adoption, and measurable outcomes. Your responsibilities will include (regardless of which slice you own): Own end-to-end product responsibility for your area — strategy, roadmap, discovery, delivery, adoption, measurable customer and platform outcomes. Design and own the platform contracts customers depend on — APIs, semantics, system events, customer-facing surfaces, operational behavior — at hyperscaler quality. Drive cross-team execution across platform engineering, networking, storage, Soperator/MK8S, observability, IAM, billing, capacity planning, support, and product design. Turn customer pain into product commitments through structured discovery — interviews, usage analytics, support patterns, incident postmortems. Close the loop so the same class of failure or friction does not recur. Engage engineering as a technical peer — debate API design, reason about system trade-offs, judge the quality of platform internals, and push back when the design is wrong. Define and own success metrics — what you ship is measured by what changed for the customer or the platform, not by the size of the spec. Be the product voice that customer-facing teams (Support, CX, TAMs) escalate to when a system behavior, API contract, or operational pattern needs a product decision, not a workaround. We expect you to have: 6+ years in Product Management, Platform PM, Infrastructure PM, or SRE / Engineering Lead with strong product instincts. Strong technical foundation and cloud-infrastructure depth — comfort reasoning about API semantics, control-plane vs data-plane behavior, system events and lifecycle, multi-tenant operational realities. You can engage engineering leaders as a peer, not as a translator. Experience with cloud, GPU, or HPC infrastructure — either building one or operating one at meaningful scale (thousands of nodes, multi-region, multi-tenant). Track record of shipping technically complex platform products with measurable customer or platform impact — quantitative results, not aspirational bullets. Strong analytical skills: comfort defining and instrumenting product metrics, working with telemetry, building data-informed roadmaps. Experience leading discovery-heavy work — structured customer interviews, usage analytics, support-ticket analysis — and turning insights into shipped product. Strong communication and ability to align engineering, SRE, customer-facing teams, and exec stakeholders. High ownership, bias to ship, comfort with messy operational reality, and the instinct to push back on engineering when the customer experience or platform quality would suffer. It will be an added bonus if you have (these are not all required — different strengths fit different slices of the platform): Customer-facing experience and lived-it perspective: Direct PM experience with frontier AI customers — ML platform teams, MLOps engineers, training and inference at scale. Familiarity with Kubernetes, Slurm, or HPC environments from the user side, and ML training workflows. Hands-on experience with ML training and inference workflows — especially distributed training at scale (multi-node, multi-GPU; comfort with checkpointing, NCCL, fault-tolerant training, debugging large training jobs). Experience as a customer of AI cloud infrastructure at large scale — especially as part of an internal ML platform team that built and operated infrastructure for ML engineers inside your own company. If you have lived through what frustrates customers about clouds, you will know exactly what we are trying to fix. Hardware, GPU, and HPC depth: Direct experience with NVIDIA reference architectures (NVL72, SuperPOD, MGX, DGX) and the NVIDIA stack (drivers, CUDA, NCCL, DCGM). Familiarity with InfiniBand / RoCE fabrics, firmware lifecycle, topology-aware scheduling. Hands-on with GPU clusters or HPC fabrics at thousands-of-nodes scale. Cluster and fleet operations: Background in Kubernetes lifecycle (CAPI, cluster upgrades, node-pool management) or Slurm at scale. Experience launching new cloud regions or data-center bring-ups end-to-end. Background in release engineering, change management, or major-maintenance orchestration in production environments. Customer experience and developer surface: Exposure to console / CLI / API design at hyperscaler quality — AWS, GCP, Azure depth on consistency, versioning, idempotency, error semantics, deprecation policy. Background in observability product — Grafana, Datadog, Honeycomb, New Relic. Knowledge of customer trust artefacts — status pages, RCA workflows, audit logs, SLA reporting, maintenance notifications. Familiarity with developer-experience product patterns — Stripe, Cloudflare, Vercel, Supabase, Render. Reliability and operational outcomes: Background in SRE, reliability engineering, or fault-tolerant systems for paying customers. Familiarity with reliability metrics that matter: Goodput, MFU, MTTR, MTBF. Experience with autohealing systems and graceful failure semantics. Emerging workloads and integrations: Familiarity with RL / agentic / inference workload patterns — vLLM, SGLang, Ray, Token Factory-style serving, sandbox technologies (Firecracker, gVisor, Kata). Experience with multi-product cloud integrations — capacity sharing, billing models, cross-product packaging. Background in pricing strategy for infrastructure products (reserved / on-demand / preemptible tiers, two-part pricing). Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Backend Software Engineer to join our Observability Platform team in Amsterdam or remotely. Building a reliable and profitable cloud platform is impossible without world-class observability. It spans every layer of the stack — from developer tooling and CI/CD pipelines to Kubernetes, managed services, databases, networking, and customer workloads. Our mission is to provide a unified ecosystem for logs, metrics, traces, alerting, and troubleshooting that enables engineers to understand and operate systems at scale. You will build and scale the core services behind this platform, working on high-volume telemetry ingestion, distributed storage, query engines, alerting pipelines, and new ways to help engineers make sense of operational data, including AI-assisted troubleshooting. We expect you to have: 5+ years of professional software engineering experience Strong knowledge of Golang or willingness to quickly switch to it Experience building distributed backend systems Solid understanding of software reliability, scalability, and performance Ability to troubleshoot complex production issues Teamwork-oriented approach and strong communication skills It would be an added bonus if you had: Experience building or contributing to observability platforms, telemetry systems, or related open-source projects such as Prometheus, Grafana, Loki, Jaeger, OpenTelemetry, VictoriaMetrics, Mimir, Tempo, or similar technologies Experience using ClickHouse in production #LI-ET3 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Morocco; Egypt Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions built with SMAC, RPA, AI/ML, IoT, blockchain, and GIS/UAV/LBS technologies, is looking for a Senior PHP Developer to enrich its team with a skilled professional to spread the company’s ideas, vision, content, and messages. Responsibilities: Design, develop, and test complex web applications using PHP and related technologies. Provide technical guidance and support to team members, including code reviews and knowledge sharing. Collaborate with cross-functional teams to define, design, and ship new features and functionality. Ensure the quality, performance, and scalability of our solutions through automated testing and continuous integration. Participate in the full software development life cycle, including planning, execution, and maintenance. Proactively identify and resolve technical issues and bugs. Stay up-to-date with emerging trends and technologies in web development. Requirements Bachelor's degree in Computer Science or a related field. At least 5 years of experience developing web applications using PHP and related technologies. Strong proficiency in PHP, MySQL, HTML5, CSS3, and JavaScript. Experience with Laravel or a similar PHP framework. Knowledge of front-end frameworks such as React, Angular, or Vue.js. Familiarity with Git and Agile development methodologies. Excellent written and verbal communication skills in English. Experience with IntelicsML

Location: Morocco; Egypt Description Intetics, a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Golang Developer to enrich its team with a skilled professional who will help drive innovation and deliver cutting-edge solutions. We specialize in high-performance backend development, cloud-native applications, distributed systems, and scalable microservices architectures . Our projects span across various industries, including IoT, cloud computing, fintech, AI-driven solutions, and real-time data processing . We are looking for a passionate and ambitious Golang engineer who can take ownership of backend development, selecting the right technologies and tools to build robust and scalable solutions. If you thrive in an innovative environment and can transform ideas into working solutions, we invite you to join our team. We are seeking Senior Golang Developers to contribute to our growing team and work on complex, high-load backend systems. Primary Responsibilities: Develop, optimize, and maintain scalable, high-performance backend applications using Golang . Design and implement microservices-based architectures and cloud-native solutions. Ensure code quality, scalability, and maintainability through best development practices. Participate in code reviews, design discussions, and architecture decisions . Work closely with cross-functional teams to design and deliver high-impact solutions. Troubleshoot and optimize existing systems for performance, security, and reliability . Contribute to technical documentation and knowledge-sharing within the team. Responsibilities: Requirements: 5+ years of experience in software development, with a strong focus on Golang . Solid understanding of concurrent programming, distributed systems, and microservices . Experience working with RESTful APIs and gRPC . Familiarity with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure). Knowledge of CI/CD pipelines, automated testing, and DevOps practices . Strong problem-solving skills and the ability to work independently. Excellent communication and teamwork skills. Nice to Have: Experience with message brokers (Kafka, RabbitMQ, NATS). Understanding of GraphQL, WebSockets, and streaming architectures . Experience in AI/ML, IoT, or blockchain-related projects . Familiarity with security best practices in backend development. Prior experience working in Agile/Scrum development environments . Experience with IntelicsML

Location: Austin, Texas, United States Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. Director of Engineering – Data Platform About Vectra AI Vectra AI is transforming cybersecurity through AI-driven threat detection and response.Our platform ingests and analyzes petabytes of customer telemetry, including network packets, logs, identity signals, and security events, to surface real-time insights, advanced detections, and autonomous security outcomes. The Data Platform organization sits at the heart of that mission, powering analytics, detections, machine learning, and next-generation AI capabilities. The Opportunity We're looking for a Director of Engineering to lead the teams that form the foundation of everything Vectra builds. You'll own the systems that ingest, process, store, and analyze petabytes of security telemetry daily, and you'll drive the platform forward to support modern AI workloads, autonomous security workflows, and next-generation analytics. This role is first and foremost an organizational leadership role, but technical credibility is non-negotiable. You'll need to be architecturally fluent, able to engage deeply on system design, challenge assumptions, and identify risks before they become problems. You'll work closely with our platform architects on technical direction, but you're expected to bring your own point of view and push back when something doesn't hold up. What You'll Do People and Organizational Leadership Build, grow, and mentor high-performing engineering teams across multiple geographies. Develop engineering managers and senior technical leaders through coaching, sponsorship, and career investment. Foster an inclusive culture built on trust, ownership, and accountability, where distributed teams can do their best work. Create the conditions for strong execution: clear priorities, healthy team rhythms, and an environment where engineers can focus on meaningful work. Cross-Functional Leadership Align priorities and investment decisions with Product, Security Research, AI, Infrastructure, and Customer teams. Communicate platform strategy, progress, risks, and trade-offs clearly to executive leadership. Partner with customer-facing teams to understand evolving data requirements and scaling challenges. Influence company-wide direction around data, AI, and platform capabilities. Execution and Operational Excellence Lead delivery of large-scale platform initiatives, balancing innovation, reliability, and speed. Set engineering best practices across data processing, schema evolution, data quality, and service-level objectives. Own production operations, incident management, and continuous improvement. Ensure predictable delivery while keeping a clear line of sight to customer impact and long-term platform health. Technical Strategy and Platform Direction Engage deeply on architecture decisions for scalable, reliable, and AI-ready infrastructure, able to ask hard questions, identify gaps, and pressure-test designs alongside platform architects. Champion a platform-first mindset with self-service APIs, strong developer tooling, observability, and documentation that accelerate Data Science, AI/ML, and product teams. Drive adoption of modern platform capabilities including feature stores, vector storage, and model serving infrastructure. Champion the use of AI to improve engineering productivity, software delivery, and incident response. What You'll Bring Required 10+ years of software engineering experience, including 5+ years leading engineering organizations. Proven track record building and operating large-scale data platforms in production. Deep expertise across large-scale data infrastructure: distributed systems, data ingestion pipelines, stream and batch processing, and storage systems at scale including object stores, columnar databases, and time-series systems. Champion the use of AI to improve engineering productivity, software delivery, and incident response. Experience with Databricks, including Spark-based processing and the Databricks platform ecosystem. Experience running ML or AI workloads in production, including platforms, feature stores, or inference infrastructure. Operational mindset: SRE principles, incident response, and a culture of reliability. Experience building or operating platforms that support LLM-based applications, including retrieval, embeddings, and model serving. Preferred Background in cybersecurity, NDR, SIEM, XDR, observability, or related domains. Track record optimizing cloud costs and performance at scale on AWS, Azure, or GCP. Background in real-time detection systems or streaming analytics What Success Looks Like A platform trusted and widely adopted by Data Science, AI, and engineering teams, known for reliability, self-service, and ease of use. Faster time-to-production for analytics, detections, and AI-powered applications. Reduced time from telemetry ingestion to model experimentation and deployment. High-performing teams with strong leadership pipelines and a culture people want to stay in. Industry-leading infrastructure supporting both advanced detections and autonomous security operations. Why This Role Matters Every detection, investigation, and AI-driven insight Vectra delivers runs on the platform you'll lead . You'll shape the organizational and technical direction of a platform that protects organizations worldwide from some of the most sophisticated threats in existence, and you'll build and develop the teams that make it possible. Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate’s location, experience and relevant incumbent pay position. Vectra Total Rewards $189,000 — $222,300 USD Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive pla n eligibility, and participation in the employee equity plan (stock options). Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral & emotional wellness services , generous time away from work, and a comprehensive employee recognition program. Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Location: Remote - India Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Senior Engineering Manager , Twilio’s Segment team. About the job As a Senior Engineering Manager on the Twilio Segment Data platform/ pipelines team, you’ll build and scale systems that process several hundred thousands of data points per second. You will lead the development of high-scale ingestion and data processing systems You'll guide the team in designing, operating and maintaining complex distributed systems, ensuring reliability, performance, and cost-efficiency while querying petabytes of data for our customer data platform (CDP). Responsibilities In this role, you’ll: Own and deliver robust, high-scale routing experiences for Data platforms & pipelines for Twilio Segment. Champion team growth and success, prioritizing mentorship and individual development. Architect and operate always-available, complex distributed systems in cloud environments. Guide technical decisions, articulating trade-offs between cost, performance, and reliability. Advocate for agile processes, continuous integration, and robust automation. Translate complex technical strategies into actionable plans for diverse stakeholders, including Product Managers and Architects. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 14+ years of engineering experience with a 5+ year proven track record managing software teams. Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Proven experience managing multiple workstreams within the team. Demonstrated commitment to driving an AI-centric engineering mindset and providing mentorship on leveraging AI-enabled development platforms. Technical depth in distributed systems, high-scale ingestion, and cloud-native architecture. Hands-on experience with high-scale messaging/streaming systems and processing engines (several thousand events/sec). Excellent communication, problem-solving, and operational excellence skills. Desired: Demonstrated experience identifying, prototyping, and deploying GenAI/LLM solutions to solve real-world engineering or data processing challenges. Expert programming experience in Go or similar object-oriented languages. Proficiency with datastores, distributed caching, and container technologies (Docker/Kubernetes). Experience with modern CI/CD pipelines and observability tools (Datadog, Grafana, Prometheus). Familiarity with AI/ML technologies. Experience managing and operating AWS infrastructure Experience working in a geographically distributed team. Location This role will be remote, and based in India (only in Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi). Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking a Platform Hardware Security Engineer to design and implement security architectures for bare-metal infrastructure. You'll work with teams across Anthropic to build firmware, bootloaders, operating systems, and attestation systems to ensure the integrity of our infrastructure from the ground up. This role requires expertise in low-level systems security and the ability to architect solutions that balance security requirements with the performance demands of training AI models across our massive fleet. Key responsibilities Design and implement secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers) Architect attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer Develop measured boot implementations and runtime integrity monitoring Create reference architectures and security requirements for bare-metal deployments Integrate security controls with infrastructure teams without impacting training performance Prototype and validate security mechanisms before production deployment Conduct firmware vulnerability assessments and penetration testing Build firmware analysis pipelines for continuous security monitoring Document security architectures and maintain threat models Collaborate with software and hardware vendors to ensure security capabilities meet our requirements Minimum qualifications Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone) Strong understanding of cryptographic protocols and hardware security modules Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation Proficiency in low-level programming (C, Rust, Assembly) and systems programming Knowledge of firmware vulnerability assessment and threat modeling Track record of designing security architectures for complex, distributed systems Experience with supply chain security Ability to work effectively across hardware and software boundaries Knowledge of NIST firmware security guidelines and hardware security frameworks Preferred qualifications 8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security) Experience with confidential computing technologies and hardware-based TEEs Knowledge of SLSA framework and software supply chain security standards Experience securing large-scale HPC or cloud infrastructure Contributions to open-source security projects (coreboot, CHIPSEC, etc.) Background in formal verification or security proof techniques Experience with silicon root of trust implementations Experience working with building foundational technical designs, operational leadership, and vendor collaboration Previous work with AI/ML infrastructure security The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the Role We are seeking a Construction Project Manager to lead the delivery of mission-critical data center projects from preconstruction through commissioning and turnover. This is an owner-side role responsible for managing scope, schedule, budget, quality, and safety across ground-up builds, expansions, and fit-outs of critical facilities. You will be the primary point of accountability for general contractors, design teams, commissioning agents, and equipment vendors, ensuring facilities are delivered on an aggressive speed-to-market timeline without compromising reliability. What You'll Do Lead end-to-end project delivery for data center construction, owning cost, schedule, scope, quality, and safety from site selection support and preconstruction through Level 5 commissioning and operational handover. Manage general contractors, architects, MEP engineers, and specialty subcontractors, holding the project team accountable to contractual milestones and design intent. Drive coordination of mechanical, electrical, and plumbing systems — including utility power and substations, switchgear, UPS, generators, and air- and liquid-cooling infrastructure — recognizing that power and cooling drive the critical path. Develop and maintain integrated project schedules, identify critical-path risks early, and implement recovery plans to protect on-time, on-budget delivery. Manage project budgets, change orders, contingency, and forecasting; review pay applications and validate work in place. Own the commissioning process in partnership with the CxA, ensuring scripts, levels (L1–L5), and acceptance criteria are met before energization and turnover to operations. Enforce a strict safety culture, including the specific hazards of working in and around energized electrical environments and live critical facilities. Provide clear, regular reporting to leadership on schedule, budget, risk, and key decisions. Manage long-lead equipment procurement and vendor coordination, mitigating supply-chain risk on generators, switchgear, chillers, and cooling units. Support due diligence on site selection, including utility power availability, fiber, water, and constructability factors. What You'll Bring 7+ years of construction project management experience, with at least 3 years delivering data centers or comparable mission-critical / critical-environment facilities (hospitals, semiconductor fabs, pharma, or large-scale industrial). Direct working knowledge of data center MEP systems: power distribution, redundancy topologies (N+1, 2N), UPS, generators, and air and liquid cooling. Familiarity with the commissioning process and Uptime Institute Tier standards. Demonstrated ability to manage multimillion-dollar budgets and complex, schedule-driven projects with multiple stakeholders. Strong command of project controls, scheduling software (P6 or MS Project), and construction management platforms (Procore or similar). Excellent contractor and vendor management skills, with the ability to hold teams accountable while maintaining productive relationships. Bachelor's degree in Construction Management, Engineering, Architecture, or a related field — or equivalent field experience. Willingness to travel to and be on-site at project locations as required. Nice to Have Experience delivering for hyperscale or colocation clients. Exposure to liquid-cooling deployments and high-density rack environments. PMP, CCM, or relevant OSHA certifications. Experience managing projects in greenfield or speculative-build environments. Why This Role Matters The work you deliver is the physical backbone of cloud and AI infrastructure. These facilities have to be built fast, built right, and run without interruption — and the project manager is the single person who makes all of that come together. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Role We are seeking a highly organized and detail-oriented People Systems Project Manager with strong experience in HR systems, HR operations, and process optimization. This role will support the growth and scalability of the People function by leading HR systems implementations, integrations, and workflow improvements. The ideal candidate combines HRIS expertise with operational HR knowledge and understands how technology capabilities align with real-world People processes. Experience within HR Operations, HRBP functions, or People Systems is highly valued. Reporting Line This role reports directly to the Head of Projects and Programs (Enterprise Technologies), with a dotted-line reporting relationship to the Head of People Systems. The People Systems team owns the strategy and governance for core HR platforms, while this role is responsible for project execution, delivery, and driving scalable process improvements in partnership with HR stakeholders. Key Responsibilities: Lead HR systems and process improvement projects from planning through rollout Partner with People Operations, HRBPs, and Operations teams to optimize workflows and system usage Translate HR business requirements into scalable system solutions and process documentation Drive implementation and optimization of HRIS workflows, automations, and integrations Use project management tools (e.g., Jira) to manage timelines, priorities, and reporting Identify opportunities for process simplification, automation, and standardization Ensure data accuracy, governance, and compliance across People systems Manage stakeholder communication, expectations, and adoption across projects Required Qualifications: Strong experience with HRIS platforms and People systems Background in HR Operations, HRBP, People Systems, or related functions Experience managing HR systems implementations or transformation projects Strong understanding of employee lifecycle processes and HR workflows Ability to balance business needs with system capabilities and scalability Excellent project management, organizational, and stakeholder management skills Nice to Have: Experience with platforms such as Workday, HiBob, BambooHR, or SuccessFactors Familiarity with Jira or similar project management tools Experience with workflow automation and process optimization initiatives PMP, Scrum Master, or HRIS-related certifications Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — Владение полным циклом проектирования решений для вычислительных, хранилищных, сетевых и дата-центровых инфраструктур. — Трансляция требований HPC и AI/ML нагрузок в масштабируемые и отказоустойчивые инфраструктурные решения. — Определение эталонных архитектур с учетом плотности GPU, соотношений хранения и сетевой интеграции. — Сотрудничество с командами продуктов, инфраструктуры и эксплуатации для создания согласованных проектов. — Создание поэтапных дорожных карт решений в соответствии с бизнес-требованиями и планированием емкости. Требования: — Подтвержденный опыт в архитектуре решений для дата-центров. — Экспертиза в проектировании GPU-плотных сред, AI/ML и HPC нагрузок. — Глубокие технические знания интеграции вычислительных, хранилищных и сетевых систем. — Наличие или готовность к переезду в Даллас, Техас. Условия: — Работа в гибридном формате: 3 дня в неделю в офисе в Далласе. — Поддержка релокации. — Зарплата от $180,000 до $250,000 в год плюс бонусы.

About Mistral: At Mistral AI, we develop AI technology to simplify tasks, enhance learning and creativity, integrating seamlessly into daily work life. We offer high-performance, optimized, open-source AI models and solutions for enterprise needs on-premises or in cloud. Our AI assistant product is le Chat. Our teams are distributed across France, USA, UK, Germany, and Singapore. Role Summary: Seeking an experienced product manager to define and execute strategy for Forge, a product enabling customers to build, fine-tune, and deploy custom AI models at scale. Forge powers model fine-tuning, reinforcement learning, and post-training workflows, translating research into enterprise-ready solutions. Responsibilities: — Define and evangelize product strategy for Forge aligned with company goals and market opportunities — Lead market and UX research to identify unmet needs and trends in AI post-training capabilities — Own product lifecycle from ideation to launch and iteration, balancing speed, quality, and user experience — Collaborate with design and research to create intuitive, impactful user experiences using data and feedback — Work with marketing and sales on go-to-market strategies including pricing, positioning, and adoption — Align engineering, design, and business teams on priorities, trade-offs, and timelines — Maintain a dynamic roadmap delivering quick wins and long-term goals Requirements: — 5+ years product management experience in fast-paced, ambiguous environments with AI/ML or infrastructure solutions — Strong understanding of AI training pipelines, reinforcement learning loops, and model deployment architectures — Expertise in AI model lifecycle management including fine-tuning, evaluation, and serving — Experience with Infrastructure as Code, containerization, scalable deployment (on-prem, VPC, cloud) — Familiarity with Kubernetes/Slurm is a strong plus — User-focused with data-driven problem solving — Proven cross-functional influence without direct authority — Strong communication skills to explain complex technical concepts clearly — Adaptability to dynamic priorities — Collaborative, low ego, high emotional intelligence — Self-directed with ownership of outcomes Preferred: — Strong knowledge of model training and architectures — Proficient coding skills recommended — Kubernetes expertise recommended — Experience with product-led growth strategies — Founder or early-stage PM experience — Ability to prototype or dive into code Location & Work Format: — Based in Paris, France or London, UK offices — Remote work possible from France, UK, Germany, Belgium, Netherlands, Spain, Italy — Encouraged to work in office at least 3 days per week Conditions: — Competitive salary and equity (stock options) — Health insurance — Transportation allowance — Sport allowance — Meal vouchers — Private pension plan — Generous parental leave — Visa sponsorship

Location: San Francisco, CA 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 Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude are often the most demanding buyers, with rigorous requirements around security, compliance, and control. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for an engineering manager for our Enterprise pillar —the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible. You'll build the foundational systems that large organizations require before they can deploy AI at scale. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. This role sits at the intersection of enterprise product, platform infrastructure, and go-to-market. You'll partner closely with product, design, sales, and customer success to understand what our largest customers need, then translate those requirements into scalable technical solutions that work across Claude.ai , Claude Code, and API. Responsibilities Lead and develop a team of engineers building out features and foundations that make Claude enterprise-ready at scale Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response Partner with engineering teams throughout the company to ensure that the platforms we build are extensible and easy to adopt Partner with sales and customer success on enterprise deals—understanding requirements, representing engineering in key conversations, and turning what you learn into priorities Shape the roadmap with product and design, not just execute against it Drive the compliance and platform-readiness work your customers require, partnering with security and legal Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team Minimum qualifications 4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools Are comfortable executing at a fast pace to meet the expectations of our customers Are detail-oriented and quality-focused - our customers are using Claude for critical workflows and our product needs to stay robust and reliable Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations Are a skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth Preferred qualifications Experience with AI/ML products and understanding how enterprises evaluate and deploy AI tools Background with compliance frameworks for regulated industries (SOC2, HIPAA) and enterprise audit logging requirements Experience building integrations, permissions, billing, or pricing infrastructure Familiarity with data residency and sovereignty requirements across global regions Startup experience, particularly in scaling enterprise platforms from early adoption to broad deployment Experience in working with research to improve domain specific model capabilities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.