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Location: Vancouver, BC Senior Data Scientist [Data] • [Vancouver, BC] We're looking for a Senior Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how productivity software reaches users. As part of the AI organization within Asana you'll leverage data to influence how we should build our agentic work management products. Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Work closely with Product Managers, User Researchers (UXR), and Engineers to understand the needs of our agentic work management customers, employing data frameworks and methodologies to understand our user segments and identify levers for driving user engagement Act as the data lead for specific AI features at Asana with product and engineering Use data analysis and data storytelling to identify key product opportunities for the roadmap Design experiments that measure product progress, and own key performance metrics. Collaborate with fellow Data Scientists in the team to research, identify and disseminate best practices across teams Work in a high-performance, dynamic team with a strong focus on velocity and software quality and learn about the upcoming field of AI-Optimization and how LLMs can help boost Asana’s value proposition. About you 4-6 years of data science experience, with majority in growth-focused roles at B2B SaaS companies 0→1 builder mentality. You've demonstrated the ability to thrive independently in ambiguous environments where you're inventing new playbooks rather than executing existing one Exceptional cross-functional leadership. You write crisply, tell clear stories, and can influence across product,engineering, design, partnerships, sales, and executive stakeholders. You bring clarity to ambiguity. Experience with AI/ML products, LLM APIs, or third-party platform integrations. Strong preference for candidates who've worked with conversational AI or built features integrating ChatGPT, Claude, or similar platforms. Strong analytical foundation with deep fluency in experimentation, A/B testing, pipeline management Strategic business acumen to balance user experience with revenue objectives while translating emerging technology trends into actionable product strategy. Genuine AI enthusiasm. You're curious, adaptable, and genuinely excited about how LLMs are transforming software discovery and adoption. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Expert in relational data modeling and SQL and fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala). Familiarity with statistical methods including experimental design, regression, causal inference At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between CAD 176,000-200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Gurgaon, India Workplace: remote About Welo Data Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment.  Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai    About the Team  Welo Data's Trust & Safety function protects the integrity of a global, distributed workforce that powers AI data and annotation work. We run a multi-layered fraud detection stack combining identity verification checks, in-house behavioral signals, and platform activity data, and are actively building out a Trust & Safety Committee spanning four core workstreams: identity verification, location verification, account integrity, and multi-accounting detection. This is a hands-on investigative role, not a policy-only seat — you'll be working live cases from day one.  About the Role  We're looking for a Trust & Safety Specialist, based in India, to join our investigations team, working active fraud cases and supporting the broader fraud strategy program. You'll come in with real T&S, fraud/risk, or identity-verification experience from another platform, marketplace, gaming company, fintech, IDV vendor, or crowdsourced-workforce environment, and be ready to run investigations, process removals, and spot fraud patterns from week one. What You Will Do Run investigations end-to-end: triage flagged accounts, review evidence (identity signals, behavioral flags, platform activity data), reach a disposition, and process removals in line with policy and SLA. Own IDV review: verify identity and location signals for flagged or high-risk accounts, distinguishing genuine edge cases from fraud. Conduct manual audits and reviews: prioritizing cases by risk and signal strength rather than intake order. Detect multi-accounting and account integrity abuse: recognize patterns across linked accounts, device/location overlap, and behavioral signals. Apply a hypothesis-driven investigation method: form a hypothesis, test it against the evidence, and reach a disposition that can be replicated and audited. Contribute to detection improvement: escalate emerging fraud vectors, false-positive/false-negative patterns, and rule gaps to the fraud strategy team. Handle sensitive data responsibly: apply GDPR-aligned data handling and deletion practices in every case. Collaborate cross-functionally: partner with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering on tooling gaps and process fixes surfaced by your casework What You Bring (Must Have-s) 4+ years in a T&S, fraud/risk, or identity-verification investigations role — from a platform/marketplace T&S team, a fintech/payments risk team, an identity-verification vendor, or a crowdsourced/gig-workforce trust function. Direct experience with identity/fraud signals — device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring. Multi-accounting / account integrity pattern recognition — you've dealt with linked-account abuse, farming, or account sharing before, not just single-account review. Case documentation discipline — you write clean, evidence-backed case notes that would survive an audit or an appeal. Comfort with ambiguity and volume — you can prioritize a queue by risk, not just clear it by count. Working knowledge of data privacy obligations (GDPR or equivalent) as they apply to case handling and data retention/deletion. Nice to Have Experience specifically in AI/ML data annotation, RLHF, or research operations workforce platforms. Exposure to rule-based fraud detection engines and an opinion on rule sprawl vs. signal quality. Familiarity with clustering/anomaly-detection approaches to fraud (even at a conceptual level). Case management system experience (any ticketing or knowledge-base tooling). Recommended Education Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field. Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree. Relevant certifications are a plus: CFE (Certified Fraud Examiner), CAMS (Certified Anti-Money Laundering Specialist), or IDV/identity risk vendor certifications.

Обязанности: — Проектирование архитектурных решений для корпоративных систем и ключевых бизнес-процессов. — Разработка и согласование интеграционных решений между внутренними и внешними системами. — Проектирование API и механизмов взаимодействия сервисов (REST, GraphQL, Kafka, RabbitMQ). — Формирование нефункциональных требований: производительность, отказоустойчивость, масштабируемость, безопасность. — Проведение архитектурных ревью и контроль соблюдения архитектурных стандартов. — Участие в оценке трудоёмкости реализации и инфраструктурных затрат. — Проектирование и развитие платформ данных: Data Lake, Data Warehouse, ETL/ELT и Data Pipeline. — Проектирование интеграций с системами 1С и корпоративными платформами. — Участие в развитии AI/ML-решений и интеграции ML-сервисов. — Формирование и поддержка архитектурной документации. — Развитие архитектурного ландшафта и реестра информационных систем. — Участие в выборе технологий и проведении PoC. Требования: — Опыт работы в роли Solution Architect / Enterprise Architect от 1 года либо опыт выстраивания и систематизации сложного ИТ-ландшафта. — Понимание современных архитектурных подходов: микросервисы, SOA, Event-Driven Architecture, serverless. — Опыт проектирования интеграционных решений и API: REST/SOAP, GraphQL, Kafka/RabbitMQ, ETL/ELT. — Опыт работы с платформами данных: Data Lake, Data Warehouse, Data Pipeline. — Понимание облачной архитектуры, CI/CD и принципов информационной безопасности. — Опыт работы с архитектурной документацией и моделированием (UML, C4 Model, ArchiMate, ADR). — Опыт интеграции корпоративных систем, включая 1С. — Базовое понимание AI/ML и жизненного цикла ML-моделей. — Английский язык — чтение технической документации. Будет плюсом: — OpenStack, Kubernetes, Docker, Terraform. — TOGAF / Zachman. — Big Data стек. — Опыт работы с высоконагруженными системами. — Опыт внедрения ML-решений в production. Условия: — Уверенность в будущем. — Стабильный и прозрачный "белый" доход по ТК РФ. — Оформление полиса ДМС. — Спортивные активности и поддержка спортивных инициатив. — Конкурентная заработная плата. — Удобное расположение офиса, две минуты от метро Бутырская.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sony Interactive Entertainment Security Architecture | Cloud | AI Security | Enterprise Platforms We are seeking a Staff Security Architect to help shape and secure the next generation of enterprise, cloud, platform, and AI-enabled technology. This role combines deep security architecture expertise with strong engineering judgment and the ability to influence technical direction across complex, global environments. The successful candidate will partner with engineering, infrastructure, product, and security teams to identify systemic risk, develop scalable security patterns, and guide secure adoption of emerging technologies, including generative AI and agentic systems. Key Responsibilities Design, review, and approve security architecture for enterprise, cloud, SaaS, platform, and application environments, balancing business objectives, engineering constraints, and risk. Lead cloud security architecture across AWS, Google Cloud, and hybrid environments, including identity, network security, data protection, logging and monitoring, key management, workload isolation, security posture management, and the effective use of native and third-party cloud security controls. Define and review security architecture for SaaS and PaaS platforms, including identity federation, privileged access, tenant configuration, data protection, API and integration security, logging, third-party risk, and secure adoption of enterprise SaaS services. Drive security throughout the software delivery lifecycle, including source control, CI/CD pipelines, build systems, artifact repositories, infrastructure as code, secrets management, code and artifact signing, software provenance, deployment automation, and security controls for developer platforms. Lead security architecture for AI-enabled systems, including generative AI, large language models, retrieval-augmented generation, AI agents, model-serving platforms, and AI-assisted developer workflows. Design mitigations for risks such as prompt injection, insecure tool use, excessive agency, sensitive-data disclosure, model or supply-chain compromise, unsafe output handling, and abuse of AI services. Define security requirements for AI data, models, prompts, embeddings, vector stores, APIs, tools, and agent identities, including least-privilege access, secrets management, encryption, isolation, provenance, logging, monitoring, and lifecycle controls. Architect and improve identity, authentication, authorization, network security, key management, cryptography, application security, and production security controls across complex environments. Identify security design gaps in existing and proposed systems; translate findings into practical architecture improvements, reference patterns, hardening standards, preventative controls, and responsible automation that improves repeatability and operational effectiveness. Provide technical leadership across multi-disciplinary teams, clearly articulating risks, tradeoffs, and recommended solutions to engineering leaders, business stakeholders, and audiences without a security background. Required Qualifications 15+ years of relevant experience in security architecture, security engineering, product security, cloud security, infrastructure security, or related disciplines, with demonstrated leadership at senior or staff level. Deep knowledge of security architecture principles across cloud, application, network, identity, platform, infrastructure, and enterprise environments. Hands-on experience designing or securing cloud-based and containerized environments, including major cloud platforms such as AWS or Google Cloud. Strong understanding of modern identity and access management, PKI, OAuth/OIDC, SAML, TLS, VPNs, secrets management, key management systems, cloud KMS, and HSMs. Expertise in network and application security controls such as WAFs, NGFWs, segmentation, DMZ design, DDoS mitigation, load balancing, proxies, intrusion detection/prevention, and host-based controls. Experience with secure software development, threat modeling, CI/CD and developer platforms, application security, and engineering mitigations across the software lifecycle. Working knowledge of AI/ML security concepts and the ability to evaluate security risks in generative AI, LLM, and agentic system architectures, including data flows, trust boundaries, model access, and tool integrations. Strong critical thinking, risk prioritization, communication, and influence skills, with the ability to lead through ambiguity and work effectively across global, cross-functional teams. Bachelor's degree in Computer Science, Mathematics, Engineering, Information Security, or equivalent practical experience. Preferred Qualifications Experience securing AI/ML platforms, generative AI applications, model gateways, RAG architectures, vector databases, or agentic workflows in production environments. Experience with AI security evaluation, red teaming, adversarial testing, model abuse testing, or control validation for AI-enabled systems. Experience securing large-scale Linux, distributed, multi-tenant, or high-availability production environments. Development or automation experience in Python, C++, Java, or similar languages. Recognized technical leadership through patents, publications, open-source contributions, conference participation, teaching, or security community involvement. Penetration testing, adversarial security, or attacker-minded design experience. Master's degree or Ph.D. in Computer Science, Mathematics, Engineering, Information Security, or a related field. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

About the role We're looking for Lead Go engineer with 5–6+ years of commercial Go development and 2+ years in a leadership role (Team Lead / Lead Engineer - it must be in your CV). If you're also indicate in your CV about scalable systems and AI integration, it will not be rejected by the system! Working hours: 09:00–18:00 CEST Requirements: — 5–6+ years of commercial Go development — 2+ years as Team Lead / Lead Engineer — Distributed systems, Go concurrency — Hands-on experience with AI/ML integration / configuration — Degree in IT — CI/CD — Stakeholder communication — Mentoring senior engineers — English — C1 Nice to have: — Experience in insurance Location: Candidates must be based in one of the following countries: Georgia, Albania, Serbia, Slovenia, Ukraine, EU, Hungary, Lithuania, Poland, Armenia

Location: Intellias Meet your recruiter Olha Yakuba olha.yakuba@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering GenAI Engineer Principal Bulgaria, Poland, Spain Remote APPLY NOW REFER A FRIEND Intellias is seeking an experienced and highly motivated Agentic Software Engineer who is enthusiastic about AI and who is excited about creating real products using modern AI models, coding agents and AI-first engineering methods. We are seeking a capable software engineer who has adopted a new approach to software development – one of using AI not just as an assistant but as an integral part of the engineering process. What project we have for you A Market Intelligence Suite is being developed by our client in order to bring together and provide a visual representation of large amounts of market data, key performance indicators, and analytical insights from various markets, giving business users a full overview of market performance and trends. The product has already reached a workable stage and comprises a wide variety of dashboards, market views, KPIs and analytical features. The first version of the solution was developed by a small group of subject matter experts using AI-assisted or vibe-coding methods, not with the help of a traditional software development team. As the product keeps on growing and the number of feature requests rises, we are seeking an Agentic Software Engineer who will bring strong software engineering skills and at the same time keep up the speed, experimentation and AI-first approach that made it possible for the product to develop so rapidly. The engineer will work directly with domain experts who have a deep knowledge of the business ecosystem and will assist in turning their ideas and requirements into actual product capabilities. The position will involve carrying out rapid feature development with the aid of AI while at the same time following software engineering best practices. As well as developing new features, the engineer will assist in strengthening the technical basis of the product by introducing the relevant practices in the areas of architecture, authentication and authorization, security, testing, maintainability, observability and reliable delivery. It doesn’t involve the kind of development typically expected. What we’re after is someone who actually takes pleasure in experimenting with AI, who keeps up to date with new models and development tools, comes up with their own ideas, and always seeks out improved methods for building software using AI. What you will do Create and continuously improve new features and capabilities for the existing Market Intelligence Suite. Deal directly with specialists in the field to get a clear understanding of business requirements and then convert these into actual product features. Spread the dashboards, market views, key performance indicators, and analytical capabilities over a number of markets. Take responsibility for the development of a feature from the very first idea and the creation of a rapid prototype right through to its implementation and validation. Make extensive use of AI coding agents at all stages of the software development lifecycle, including during implementation, debugging, testing, refactoring and documentation. Make sure that the current AI-generated codebase is understood, its issues are acknowledged, and it is constantly improved. As the product develops, incorporate suitable software engineering best practices. Implement the authentication, authorization and access-control mechanisms and then improve them. Improve the application’s architecture, security, maintainability, testing, and reliability. As the product’s capabilities develop, incorporate further data sources, APIs, and external services. Improve logging, monitoring, observability, and troubleshooting capabilities. Quickly prototype new ideas, check them together with experts in the field, and make improvements according to the feedback. Keep on assessing new AI models, coding agents and development tools and incorporate methods that can enhance both the speed and quality of development. Identify actively the opportunities for new product features, automation and more efficient methods of solving business problems. Where suitable, question the current methods and suggest improved technical or product solutions. Assist the broader team in constantly improving its AI-first/agentic engineering practices. What you need for this A solid hands-on experience in software engineering and a record of developing modern web applications. Gaining practical experience by using AI coding agents and LLM-based development tools to develop actual software. A true passion for AI, agentic engineering and AI-assisted software development. Experience in using tools such as Claude Code, Cursor, Codex, GitHub Copilot or other similar AI coding environments. The ability to convert a business problem, a feature request, or a vaguely defined idea into a working product solution on one’s own. Have experience working with applications that involve large amounts of data, as well as with dashboards, analytics, and data visualization. A solid understanding of the architecture of modern web applications and of the principles of software engineering. An understanding of authentication, authorization, access control, and application security in a practical way. Gain experience in integrating applications with APIs, external services, and various data sources. The ability to understand, check, debug, restructure, and improve code that has been generated by AI. Having a good understanding of testing, maintainability, logging, monitoring and the reliable delivery of software. The ability to combine rapid experimentation and delivery with sustainable engineering practices. A strong sense of ownership and the capacity to work on one’s own without the need for detailed technical specifications. A strong product mindset, with a focus on solving business problems rather than just carrying out technical tasks. A proactive attitude means having the ability to question current methods, propose improvements, and introduce new product and technical ideas. A high level of curiosity together with a constant desire to experiment with new AI models, coding agents, tools, and workflows. Having strong communication and collaboration skills when working directly with business or domain experts. Experience gained through using JavaScript/TypeScript, Node.js, Python or other modern development technologies is relevant; yet the use of any particular technology stack is not a major factor in the selection process. Will be a plus Have experience in the development of market intelligence, business intelligence, analytics, or data-intensive products. Have implemented enterprise authentication, single sign-on, and role-based access control (RBAC) Knowledge of cloud platforms and contemporary methods of deploying applications. Have experience in developing analytics or conversational interfaces that are powered by AI Have experience in designing reusable agentic workflows or automation for software development Try out a variety of AI models and coding agents and then choose the appropriate tools for each particular task Examples of personal AI projects, prototypes, entries in hackathons, or internal products which show practical experimentation with AI-first development. There is a keen interest in new AI engineering tools and methods. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Paris 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. Role Summary We’re seeking highly motivated Data Quality Analysts with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation. This is a hybrid quality reviewing and tooling role: - you'll spend the majority of your time reviewing and auditing Finance (any subdomain) annotations against rubrics to ensure data used for training and evaluating AI models meets the highest standards of quality and efficiency. - and the remainder building, maintaining, and troubleshooting annotation operations. You'll collaborate closely with the annotators, technical program manager, and science stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced. Key Responsibilities - In collaboration with the technical team, review/audit annotations, clarify requirements, share insights, surface systemic issues, edge cases, and gaps in guidelines, to improve annotation processes and guidelines. - Generate and validate high-quality finance-oriented data annotations yourself when needed, based on guidelines and continuous feedback, for the development and evaluation of AI models - Build and maintain internal tools and automation that streamline annotation or review workflows such as visualization dashboards, batch configuration scripts, output management utilities, and similar - Troubleshoot campaign issues (e.g. tooling, guidelines) for annotators - Organise annotator training and coordinate feedback between annotators and reviewers. About you - A degree (minimum Masters level) in a Finance discipline. - At least 3 years of professional experience in the Financial domain. - Outstanding analytical and research skills - Some familiarity with programming languages, with the ability to read standard output formats such as .jsonl files. - Exercises great judgement with complex instructions, limited data, and/or multiple information sources and ability to surface edge cases, ambiguities, or gaps in guidelines accordingly. - Excellent communication, interpersonal, and organisational abilities - Adapts easily to dynamic environments and changing requirements - Appetite for operational work and high tolerance for repetitive tasks with a sustained focus and accuracy on detail-oriented, high-volume review work. - Professional proficiency in English, with strong writing and comprehension skills Nice to have - Familiarity with rubric-based evaluation concepts, inter-annotator agreement, or quality measurement for human-labeled data - Experience building an annotation team through interviews and training - Proficient in at least one programming language (e.g. Python) - Prior experience in data annotation for AI/ML, especially LLM training (SFT, RLHF, preference data), evals/benchmarks, or agentic data - Comfortable working in a Unix-like terminal and using git workflows (branches, merges, resolving conflicts)   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.

Location: India Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE This role partners directly with enterprise customers building and deploying conversational agents on the ElevenLabs Agents Platform. The focus is hands-on execution - advising on agent design, personas, conversation flows, tool integrations, and voice customisation to deliver clear business outcomes in production environments. You will guide customers through best practices for deploying and scaling agents across web, mobile, and telephony, and for integrating agents with existing data sources and systems. You will analyze agent performance data and conversational logs to identify friction points and optimization opportunities that improve accuracy, user experience, and reliability at scale. In parallel, you will own expansion outcomes across a defined portfolio of enterprise accounts. Success is measured by net revenue retention and sustained multi-product adoption. You will identify expansion opportunities, drive cross-sell through deeper agent usage, and partner with Sales, Engineering, and Account Managers to convert technical success into durable revenue growth and long-term customer commitment. Requirements - 7-11 years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in India - Familiarity and experience with building and deploying AI agents - Familiarity and experience with API Integrations, and comfort and knowledge of navigating SDKs - Proven experience driving revenue outcomes, including owning a revenue quota and identifying, qualifying, and closing cross-sell opportunities - Excellent problem-solving, technical, and analytical skills to address customer needs and concerns - Strong communication and interpersonal skills, with the ability to build and maintain relationships with customers at all levels of an organization - Strong understanding of the Indian market landscape and cultural nuances - Self-motivated and able to work independently in a remote or distributed team environment #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

В компании требуется руководитель проектов по внедрению искусственного интеллекта, который будет отвечать за разработку стратегии внедрения ИИ и управление портфелем AI-проектов. В задачи входит запуск AI/ML-решений от этапа пилотирования до промышленного использования, оценка экономической эффективности внедрения с учетом ROI, снижения затрат и увеличения выручки, а также автоматизация бизнес-процессов и повышение операционной эффективности. Необходимо управлять изменениями и обучать команды работе с новыми AI-инструментами. Кандидат должен иметь опыт не менее 6–7 лет в управлении проектами, технологическом внедрении или консалтинге, а также практический опыт внедрения AI/ML в крупных организациях. Важно понимание технологий искусственного интеллекта и умение работать на пересечении бизнеса и IT. Опыт в сфере финтеха будет преимуществом. Работа предполагает гибридный или удаленный формат, предоставляется ДМС с первого месяца, а также доступ к современным AI-инструментам и взаимодействие с топ-менеджментом. Компания является резидентом Сколково и аккредитованной IT-компанией. Данная позиция дает возможность не только запускать AI-проекты, но и формировать стратегию внедрения ИИ в крупной инвестиционной компании, оказывая прямое влияние на финансовые показатели бизнеса.

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 Anthropic is seeking a Director, Infrastructure Lease Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases and related structures underpinning our recently significant investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio. You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made. Responsibilities Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure arrangements, leading classification, measurement, and subsequent accounting judgments Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Serve as a key point of contact with external auditors on technical accounting matters within your portfolio Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work Minimum qualifications Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role Hold a Bachelor's degree in Accounting or Finance; CPA required Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied to real arrangements Have a track record of authoring and defending technical accounting memos on complex, judgment-intensive arrangements Demonstrate strong analytical abilities and comfort working with large, complex contracts and datasets Have a track record of improving scalable technical accounting processes in fast-moving environments Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners — Real Estate, Legal, Finance, and Procurement Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred qualifications Background in a Big 4 technical accounting practice (SEC reporting / technical consultation) combined with industry experience Experience at hyperscalers, utilities, or energy companies with meaningful PPA, REC, or commodity-arrangement exposure Experience with renewable energy contracts, carbon markets, or related clean-energy accounting frameworks Exposure to data center and compute-related infrastructure arrangements (including colocation, dark fiber IRUs, and equipment leases) Experience with lease accounting software and derivative / hedge accounting systems at scale SQL proficiency for querying and analyzing large contract and accounting datasets Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to technical accounting research, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments 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: $230,000 — $300,000 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.

Задачи: — Разработка AI агентов на основе современных генеративных сеток (GigaChat и OpenSource); — Разработка системы офлайн- и онлайн-метрик для оценки качества LLM-приложений; — Следить за последними исследованиями и инновациями в области языковых моделей и применять их на практике. Требования: — Опыт разработки AI агентов для компаний end-to-end от исследования до запуска в продакшн; — Глубокое понимание архитектуры нейронных сетей, трансформеров и их применения в моделях LLM; — Экспертное владение Python-библиотеками для AI/ML (PyTorch, Transformers, LangChain, LlamaIndex, LangGraph, pandas, NumPy, scikit-learn); — Знание MLOps-инструментов (Docker, LangFuse, Ollama, vLLM); — Высокий уровень знаний статистики (теорвер + матстат), глубокое понимание ключевых алгоритмов ML. Условия: — Работа в аккредитованной IT-компании; — Удобный офис (м. Калужская, ул. Обручева 30/1 с.2); — Ежегодный бонус по итогам работы; — Подключение к ДМС, телемедицина, чек-ап после испытательного срока; — Ведение беременности и родов, лазерная коррекция зрения и стоматология после двух лет непрерывного стажа в группе Сбер; — Специальные условия для страхования семьи; — Возможность участия в корпоративной пенсионной программе; — Корпоративное обучение; — Бесплатная подписка на СберПрайм и скидки у партнёров; — Новогодние подарки для детей, корпоративные мероприятия и поддержка в особых жизненных ситуациях; — Скидки в спортклубы X-Fit, WorldClass. Дополнительно: — Видимый результат: вклад напрямую влияет на продукт и развитие компании; — Минимизация бюрократии, возможность проявлять инициативу; — Возможность карьерного роста внутри команды или других подразделений; — Вклад в развитие общества через исследования, способствующие улучшению экономики регионов и качества жизни людей; — Вера в силу данных как инструмента позитивных изменений.

Location: San Francisco, CA; Seattle, WA; San Diego, CA; Los Angeles, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. We’re hiring a results-driven account manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of LangChain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention. WHAT YOU'LL DO - Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates. - Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets. - Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles. - Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value. - Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers. - Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams. - Partner closely with Sales, GTM Engineering, and RevOps teams to present a unified post-sale experience and ensure a seamless customer journey. - Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and LangChain. WHAT WE'RE LOOKING FOR - 5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS. - A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention). - Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles. - Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus. - Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers. - A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform. - Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting. - Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment. (PREFERRED) - Direct experience at a high-growth, developer-first, or AI/ML infrastructure company. - Experience managing renewals in a consumption or usage-based pricing model. Location: US West Coast Compensation: - $230K OTE + equity COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New Jersey, 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. DC Facilities Engineer Level of Responsibility: Independently operates, maintains, troubleshoots, and takes end-to-end ownership of critical power, critical cooling, liquid cooling, and DCIM/BMS infrastructure systems; participates in incident management and commissioning activities; and mentors Associate DC Facilities Engineers. Role profile: This is a critical role within Nebius data center operations. A fully proficient infrastructure engineer who independently manages and troubleshoots critical power and critical cooling systems across the site and takes ownership of assigned engineering tasks from start to finish. Participates in incident management activities, supports site commissioning and build reviews, and contributes to ensuring all engineering work meets Nebius SLAs and standards. Enforces safe working practices, collaborates with facilities, network, and technician teams, and mentors Associate DC Facilities Engineers toward independent operation. Core responsibilities Monitor and contribute to the tracking of critical environment maintenance and repair for assigned service lines to Nebius SLAs; identify and escalate developing faults before they impact service uptime. ndependently operate, monitor, and troubleshoot critical power distribution infrastructure including UPS systems, PDUs, RPPs, and in- rack busbar power systems. Manage and maintain critical cooling infrastructure including CRAHs, CRACs, CDUs, and RDHx; perform capacity checks and leakage inspections. Participate in incident management for infrastructure-impacting events; support root-cause analyses, document findings, and contribute to CAPA execution under the direction of the Senior DC Facilities Engineer. Operate and administer DCIM and BMS platforms; build and maintain dashboards, alerts, capacity reports, and infrastructure records. Support deployment and commissioning of GB-scale liquid-cooled rack infrastructure including direct liquid cooling (DLC) systems, manifolds, and CDU connections. Perform and own preventive maintenance tasks for all critical power and critical cooling systems; maintain accurate maintenance logs and compliance records. Participate in site reviews, design reviews, and commissioning activities; prepare and review technical reports to document findings.and communicate results. Enforce Nebius critical power and critical cooling safety procedures; act as safety lead for engineering work orders on live. infrastructure. Collaborate with facilities, network, and technician teams on infrastructure changes, capacity expansions, and major deployments. Support adherence to Nebius standards and policies through documentation review and active participation in commissioning and design activities. Contribute to vendor and contractor coordination by supporting scheduling, site access, and execution of work per Nebius expectations and safe-working practices. Actively mentors and trains Associate Associate DC Facilities Engineers; guides them through systems operation, safe working practices, and structured skill development toward independent operation. Expected capabilities / expectations Working proficiency across all critical power systems: UPS, PDU, RPP, in-rack busbar, and generator interfacing. Hands-on experience with critical cooling systems: CRAH/CRAC, CDU, RDHx, and water-side infrastructure including leak detection. Competent DCIM/BMS administration: alert management, capacity modeling, and dashboard reporting. Developing knowledge of GB rack liquid cooling technology, DLC manifolds, and heat rejection infrastructure. U.S. Data Center Career Framework - Technical Career Framework Ability to participate in and support incident management activities including RCA and CAPA documentation. Strong documentation discipline: change records, maintenance logs, capacity data, and incident write-ups. Clear and confident communication with facilities, network, and vendor teams during changes and incidents. Core Physical Requirements Ability to stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations. Ability to safely lift, carry, and position equipment weighing up to 50 pounds unassisted, and heavier loads with appropriate team-lift protocols or mechanical aids. Comfortable working at heights including ascending and descending ladders, raised platform equipment, and elevated data center infrastructure. Ability to work in confined spaces such as under raised floors, within enclosed rack enclosures, and in cable management pathways. Comfortable working in environments with variable temperatures, including cold aisle containment zones and active cooling infrastructure. Manual dexterity sufficient to handle small form-factor components, precision cabling, and fine connector installations. Visual acuity sufficient to read equipment labels, small-form-factor interface indicators, and detailed wiring diagrams in variable lighting conditions. Ability to push or pull equipment carts, server sleds, and wheeled infrastructure weighing up to 500 pounds on level surfaces. On-Call Requirement This role includes on-call participation to respond to after-hours critical power and critical cooling events, infrastructure alarms, and urgent maintenance requiring prompt engineering response. 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: Canada 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. Customer Experience: The Customer Experience Team at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community. The role We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps . As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines. You’re welcome to work remotely from Canada. Your responsibilities will include: Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices. Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers. Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI. Act as a single point of expertise of customer scenarios for product, technical support, marketing teams. Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.) We expect you to have: Bachelor's degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience 5+ years of customer-facing technical pre-sales experience, with pre-sales as a primary responsibility, and demonstrate ownership of technical discovery, solution architecture, customer presentations, and proof-of-concept delivery for cloud infrastructure or AI platforms, translating customer requirements into solutions and guiding technical buying decisions. 5+ years of experience utilizing Infrastructure as Code (IaC) to automate the deployment, configuration, and management of scalable cloud infrastructure and network architectures. 5+ years of Kubernetes experience designing, provisioning, and operating clusters, including node management, networking (CNI), storage (CSI), scheduling, scaling, and troubleshooting beyond managed-service abstractions. 5 years of experience developing Python-based solutions for cloud infrastructure automation, systems integration, and technical problem-solving. It will be an added bonus if you have: 3+ years of experience with GPU computing for machine learning and artificial intelligence workloads as training and inference. Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow) Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch) Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 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. On Target Earnings Range $235k - $300k CAD 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: Remote - 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. Customer experience: Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community. The role We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps . As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines. You’re welcome to work remotely from the United States. Your responsibilities will include: Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices. Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers. Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI. Act as a single point of expertise of customer scenarios for product, technical support, marketing teams. Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.) We expect you to have: Bachelor's degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience 5+ years of customer-facing technical pre-sales experience, with pre-sales as a primary responsibility, and demonstrate ownership of technical discovery, solution architecture, customer presentations, and proof-of-concept delivery for cloud infrastructure or AI platforms, translating customer requirements into solutions and guiding technical buying decisions. 5+ years of experience utilizing Infrastructure as Code (IaC) to automate the deployment, configuration, and management of scalable cloud infrastructure and network architectures. 5+ years of Kubernetes experience designing, provisioning, and operating clusters, including node management, networking (CNI), storage (CSI), scheduling, scaling, and troubleshooting beyond managed-service abstractions. 5 years of experience developing Python-based solutions for cloud infrastructure automation, systems integration, and technical problem-solving. It will be an added bonus if you have: 3+ years of experience with GPU computing for machine learning and artificial intelligence workloads as training and inference. Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow) Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch) Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) Key Employee Benefits: #LI-SM2 Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) Plan: Up to 4% company match with immediate vesting. Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote Work Reimbursement: Up to $85/month for mobile and internet. Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. 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. On Target Earnings Range $250,000 — $320,000 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.

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 Solution Marketing Lead — Financial Services Location: Remote (US). Preferred locations NYC, San Francisco Bay Area Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, APJ and Israel. The role The Solution Marketing Lead for Financial Services and Capital Markets will report to the VP of Marketing. You will lead our go-to-market strategy, messaging, and solution storytelling across the rapidly evolving world of AI, with a strong focus on helping financial institutions accelerate AI innovation on the Nebius AI cloud. This is a senior individual contributor role critical to shaping how Nebius is positioned at the intersection of AI cloud and modern financial-services workloads. You will develop solution narratives across quantitative research, financial model training and fine-tuning, risk and portfolio modeling, research copilots, fraud and financial-crime detection, trade surveillance, document intelligence, and agentic AI workflows. You will drive awareness, adoption, and category leadership by translating Nebius’s technical capabilities into clear, differentiated solution stories and customer proof points. Working closely with product management, sales, enablement, alliances including NVIDIA and the broader financial-services technology ecosystem and the marketing organization. This role is ideal for someone who deeply understands financial services, particularly capital markets. In addition, can operate strategically and execute quickly while building from 0→1. Responsibilities Define positioning and value propositions for financial services workloads on the Nebius AI Cloud and Token Factory. Build solution narratives across quantitative research, model training and fine-tuning, risk and portfolio modeling, market-data analysis, research copilots, fraud detection, trade surveillance, and agentic AI. Create messaging frameworks, pitch decks, competitive battlecards, objection-handling guidance, and sales tools that accelerate seller velocity. Develop high-impact assets, including solution briefs, field playbooks, executive presentations, webinars, demo narratives, and thought leadership. Enable sales teams and partners to confidently position Nebius with financial-services executives, AI leaders, quantitative teams, and technical buyers. Partner with a downstream marketing team to develop industry campaigns, account-focused programs, and event activations. Lead joint solution marketing initiatives with NVIDIA, ISVs, and the broader financial-services technology ecosystem. Support customer storytelling, PR, Analyst Relations, and industry-influencer programs to build market credibility and customer proof. Partner closely with product, sales, alliances, customer success, and marketing to bring market requirements into the roadmap and drive measurable business impact. Qualifications 12–15 years in solution, product, or industry marketing, or technical GTM. Deep financial services expertise, particularly capital markets; experience in investment banking, asset management, hedge funds, quantitative finance, or capital markets technology preferred. Strong understanding of AI infrastructure and workflows, including training, fine-tuning, inference, agents, data pipelines, distributed computing, and GPU workloads. Exceptional ability to translate complex technology into compelling industry narratives, customer value, and business outcomes. Proven success building industry GTM strategies, enabling enterprise sales, and influencing senior cross-functional stakeholders. Comfortable building new programs, messaging, and market positions in a fast-moving, high-growth environment. Familiarity with major cloud/AI platforms and the NVIDIA, and capital-markets technology ecosystem. Bachelor’s degree required; MBA, master’s degree, or another advanced degree preferred. Key employee benefits in the US: #LI-JT1 Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries, plus bonus, and equity based on your experience.  Title and compensation will be determined based on the candidate’s experience and qualifications. 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 $177,000 — $222,000 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.

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 Nebius is looking for a Principal Product Marketing Manager to set the direction for our enterprise story: the narrative, messaging, and go-to-market strategy that turn Nebius’s full-stack differentiation into pipeline and revenue with mid-market and enterprise buyers. You’re welcome to work remotely in the United States. This is a role for a recognized enterprise product marketing leader from B2B cloud or AI infrastructure who has shaped category narratives and led complex go-to-market motions, and can prove it through the messaging they built, the programs they orchestrated, and the revenue outcomes behind them. You understand the AI cloud stack well enough to earn credibility with engineering leaders, and you know what it takes to move a complex enterprise buying committee (CIOs, CTOs, Chief Data/AI Officers, CISOs, VPs of Infrastructure, security and procurement teams) through a 6–18-month cycle. You set the strategy and frameworks that others execute against, and you measure your impact in win rates, pipeline influenced, and field adoption, not assets shipped. Reporting to the Senior Director, Product Marketing, you will be the senior voice for how Nebius positions itself to the enterprise and a force multiplier for the organization: setting the enterprise go-to-market strategy across product lines, guiding and mentoring other product marketers, and equipping sales, solutions architecture, and partnerships to carry the story into the field. You will work directly with senior leaders across product, engineering, sales, and executive leadership as a trusted strategic partner. Your responsibilities will include: Set the enterprise narrative and positioning strategy. Own the enterprise layer of the Nebius story end to end, from our “ultimate AI cloud” positioning down to persona-specific messaging, and define the frameworks and standards that other product marketers and content teams build on. Translate our differentiators and each layer of the cloud stack (custom GPU servers, AI orchestration and MLOps tooling, Token Factory, and our agentic layer) into credible messaging that resonates with technical and business decision-makers alike. Lead enterprise go-to-market strategy across products and launches. Define the enterprise go-to-market plan across the Nebius portfolio, set priorities and sequencing for major launches, and drive alignment across product, sales, solutions architecture, partnerships, and marketing. Make the trade-offs on where to focus and invest, and hold cross-functional teams accountable to shared outcomes. Design and own the enterprise customer journey. Own the logic and strategy of the 6–18-month enterprise buying cycle, defining what moves a buyer at each stage from awareness to evaluation, decision, and expansion. Set the plays, content, and touchpoints for each stage and partner with digital/ABX and field marketing leaders to sequence and target them by account, using ABM platforms such as 6sense or Demandbase. Build the enterprise business case. Develop the messaging, proof, and business case around what enterprises actually evaluate: total cost of ownership, reliability and SLAs, security and compliance, data sovereignty and residency, migration risk, and vendor lock-in. Equip Nebius to win through security review, procurement, and the CFO’s office, and engage directly with senior executives on strategic deals. Drive enablement strategy and field adoption. Set the enablement strategy for sales, solutions, and partner teams, and ensure they can articulate Nebius’s value to every persona on the buying committee: first-call decks, battlecards, discovery guides, ROI/TCO tools, objection handling, and competitive positioning against hyperscalers and neoclouds. Lead enablement programs and measure adoption, win rates, and deals influenced. Own competitive and category positioning. Maintain a sharp, evidence-based view of the AI enterprise infrastructure landscape and help shape how the category is defined. Turn market and competitive intelligence into positioning the field can defend and campaigns can lead with, and keep Nebius’s differentiation current as the market moves. Lead the enterprise content and proof strategy. Define the enterprise asset strategy and own quality across the library: solution briefs, white papers, reference architectures, case studies, web pages, webinars, and videos. Personally produce the most strategic pieces and set the bar for the rest. Elevate communications, analyst, and investor narratives. Shape the enterprise narrative for press moments, site launches, analyst briefings, and investor materials, in close coordination with comms, legal, and executive leadership. Serve as a spokesperson and subject matter expert for the enterprise story in analyst, customer, and industry settings. Champion the voice of the customer. Partner with sales and customer marketing to build a pipeline of references, case studies, and proof points, and bring enterprise pain points and wins back into product strategy and messaging. Mentor and multiply. Coach and guide other product marketers and cross-functional contributors, establish best practices, messaging methodologies, and workshop frameworks (such as SCIPAB), and raise the quality and consistency of product marketing across the organization. Contribute strategically at the leadership table. Bring ideas, challenge assumptions, and help shape how we position Nebius in a fast-moving AI infrastructure market. Act as a trusted partner to product, engineering, sales, and partnerships leaders, with a seat at the table, not just as a content source. We expect you to have: 8+ years in product marketing, with a strong track record leading enterprise go-to-market in cloud infrastructure or AI infrastructure (ideally the AI cloud market) at a growing, modern company. Proven ownership of the enterprise segment across the marketing lifecycle, with the ability to speak to win rates, pipeline data, and revenue impact on significant enterprise deals. Demonstrated experience setting go-to-market strategy and leading cross-functional launches across multiple products or product lines, influencing leaders without direct authority. Hands-on experience designing and orchestrating multi-stage enterprise customer journeys across long (6–18 month) buying cycles, and running account-based programs on ABM platforms such as 6sense or Demandbase in partnership with digital/ABX teams, with clear, measurable outcomes. Strong technical understanding of AI/ML workflows and the AI cloud infrastructure stack: GPU platforms and the NVIDIA ecosystem, networking, storage, IaaS, inference, and ML tools (e.g., PyTorch, Ray, Slurm, MLflow, Kubernetes, inference and agentic platforms), with the ability to go deep with engineers and translate up for executives and business buyers. Demonstrated experience building and running sales and partner enablement at scale, including battlecards, pitch decks, sales playbooks, competitive positioning, and ROI/TCO narratives, and driving measurable adoption across a field organization. Fluency with the enterprise buying process and its stakeholders (CTO, CIO, VP Infrastructure, IT Ops, Platform Engineering, security, compliance, procurement, and finance) and the concerns that gate a deal: TCO, reliability, security, compliance, sovereignty, and lock-in. Exceptional writing, presentation, and storytelling skills, including experience running messaging workshops and methodologies such as SCIPAB, and comfort presenting to C-level executives, analysts, and customers. Experience mentoring or leading product marketers or cross-functional teams, and raising standards across a function. Strategic thinker who thrives in a fast-paced, cross-functional environment, is comfortable operating with ambiguity and speed, and connects the dots across functions and departments. Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience. #LI-LT1 Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. 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 $177,800 — $222,200 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.

Location: New York City, New York, 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. About Tavily (Acquired by Nebius) In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent, but informed. The role We're looking for a Business Analyst to partner closely with our Finance and Sales teams and turn data into decisions. You'll be the owner of the company's most important metrics: revenue (ARR/MRR), bookings, pipeline, conversion, net revenue retention, gross margin and more. Beyond reporting the numbers, you'll uncover the drivers behind them, build the analyses that shape planning and go-to-market strategy, and help leadership answer the critical questions: This is a high-ownership, hands-on role for someone who is as comfortable in a board-deck conversation as in a SQL editor, and who ships analysis that changes what the business does next. Your responsibilities will include: Own the company's core business metrics end-to-end: define them, build the single source of truth, and make sure Finance, Sales, and leadership are all looking at the same numbers. Partner with Finance on revenue recognition, forecasting, budgeting, and board/investor reporting; turn usage and billing data into reliable financial views. Partner with Sales on pipeline health, funnel conversion, win/loss, sales cycle, quota attainment, territory and segment performance, and compensation analytics. Proactively monitor key business metrics, investigate trends and anomalies, and surface actionable insights to stakeholders before they ask. Build and maintain revenue and pipeline models that connect product usage and billing data. Write production-quality SQL and Python to model data, automate recurring reporting, and run analyses at scale. Translate findings into clear recommendations and drive alignment across Finance, Sales, and leadership. Support strategic initiatives: pricing and packaging changes, segment strategy, capacity planning, and go-to-market experiments, with before/after impact measurement. We expect you to have: 5+ years of experience as an Analyst, of which 2+ years of experience as a Business Analyst, FP&A analyst, Revenue/Sales Operations analyst, or equivalent. 2+ years working in a SaaS company; you understand ARR, bookings, NRR, CAC, payback, pipeline coverage, and the metrics that drive a SaaS business. Hands-on experience supporting Finance and/or Sales teams, with a track record of owning metric definitions that the company relies on. Strong SQL and comfort working with large, messy datasets across different sources. Hands-on experience using Python for data analysis and data modeling in a production environment. BSc in Economics / Finance / Statistics / Math / Industrial Engineering or equivalent. Familiarity with modern data tooling (Snowflake/BigQuery, dbt, BI tools like Omni/Looker/Tableau). It will be an added bonus if you have: Experience at an API-first, developer-focused, usage-based, or PLG (product-led growth) company. Experience with usage-based billing and revenue recognition (Stripe, Metronome, NetSuite). Experience with CRM analytics (HubSpot, Salesforce) and sales compensation / quota design. Statistical foundation for experimentation and causal inference. Experience with Airflow or similar orchestration tools. MBA or MSc in a quantitative field. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. 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 $179,000 — $224,000 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.