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Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render’s mission is simple: eliminate the tedious work of building software by providing a cloud platform that just works. We’re evolving from the go-to platform for solo developers into the backbone for fast-scaling teams. This role sits at the heart of that shift: how a developer discovers Render, achieves their first success, and becomes a paying customer whose bill makes sense to them. That journey spans onboarding and activation, billing, payments, and pricing — the moments where trust is won or lost and where good design directly moves the business. Because the journey crosses the whole product, you won’t be siloed on a single team; you’ll work across the groups that own these surfaces — product, billing, and more — following the work wherever it leads. This is a craft-focused IC role built for speed, scale, and variety. You won’t polish one screen for a month; you’ll ship a lot, learn fast, and raise the bar across a wide surface. The craft bar is high — this is still Render, where details matter — but here it’s expressed through velocity: designs that ship, get measured, and compound. You’ll move between a pricing page, an upgrade flow, an onboarding step, and a billing surface in the same week, and hold all of them to the same standard. What makes this work hard and interesting: these surfaces are deceptively high-stakes. A confusing bill erodes trust as fast as a failed deploy. A pricing page that misleads costs real money and goodwill. Payments and billing are where correctness, clarity, and edge-case rigor matter as much as polish — and where “the unglamorous flow” is the product. You’ll join a design team that takes its craft seriously, with weekly critiques and deep cross-functional collaboration. You’ll thrive here if you love fast, measurable work, hold a high bar under velocity, and want your design decisions grounded in what real users do — not just what looks good in Figma or an AI prototype. YOU WILL: Design the journey from first touch to paying customer as one connected system. Onboarding, activation, upgrade, and billing aren’t separate surfaces; they’re one path a developer walks. You’ll design them to feel coherent, so the moment someone decides to pay is the natural next step, not a cliff. Own billing, payments, and pricing as craft surfaces. Plans, usage, invoices, upgrade and downgrade flows, payment methods, dunning, and the pricing page itself. This is where clarity and correctness are the whole game — a developer should always understand what they’re paying for and why, and never be surprised. You’ll bring real rigor to the edge cases (failed charges, proration, usage spikes) that make or break trust. Design a first-run and activation experience worth recommending. The path from signup to first successful deploy — and from first deploy to habit — is where growth starts. You’ll design it so that a developer’s first ten minutes make them want to tell someone, and so the steps that drive activation are clear, fast, and friendly. Run on validation and experimentation together. You’ll put work in front of real users — testing, interviews, quick validation — and ship experiments to learn what actually moves activation, conversion, and retention. You’re fluent in both: you know when a question needs a user session and when it needs an A/B test, and you treat shipped data as how design decisions get earned, not decoration. Move fast across a wide surface. This role trades depth-on-one-thing for range: you’ll prioritize ruthlessly, ship in small confident increments, and know which details matter now and which can wait. Speed is a feature here. Partner across the company. Growth design lives at the intersection of product, engineering, data, marketing, and finance. You’ll communicate clearly and often, align fast-moving stakeholders, and make the case for the user inside business conversations about pricing and revenue. Contribute to where Growth goes next. Alongside the shipping work, you’ll bring a point of view and concept explorations to the team’s design-led discovery track, through our weekly critique cadence. WE’RE LOOKING FOR: 5+ years of relevant experience, including real work designing for developers or technical users. You’ve designed products for software engineers, not just adjacent to them — in developer tools, cloud infrastructure, APIs, or another technical product — ideally paired with growth, billing, or payments depth. We care more about your impact than your title, but designing for a technical audience isn’t optional here. Exceptional taste and craft at speed. You have an eye for detail that borders on obsessive, and you can bring it to work that ships fast. You know how to hold a high bar without over-polishing, and you’ve shipped work that other practitioners admire. Fluency in both validation and experimentation. You’re comfortable running user testing and interviews and designing and reading experiments. You know which question each one answers, and you let real user behavior — not just instinct — shape your work. Rigor with complex, high-stakes flows. Billing, payments, and pricing reward people who sweat the edge cases. You design for the failed charge, the plan change mid-cycle, the confusing invoice — not just the happy path. You believe a clear bill is as much a design artifact as a beautiful dashboard. Strong information architecture. You can take a tangle of plans, usage, and states and make it feel like one obvious thing. You design the whole journey, not a screen at a time. Your portfolio shows a user journey that’s coherent from first touch through activation to paying — not a set of polished screens that don’t add up. Fluent in how developers think and get billed. You design for a technical user’s real mental model — services, deploys, and how developers actually work. Bonus if you understand usage-based, resource-metered billing for developer tools: compute plans, CPU/memory instance types (e.g., 1c-2g), usage metering, and how pricing maps to the underlying infrastructure. You don’t need to have built a cloud platform, but you’re curious enough to get into the weeds. Strong product judgment under fast launch velocity. You frame problems well, prioritize ruthlessly, and know which details matter and which can wait. Clear, direct communication and a genuinely collaborative way of working with product, engineering, data, and finance partners — including sharing a problem space with another designer without needing hard fences between you. NICE-TO-HAVES: - Experience designing billing, payments, subscriptions, checkout, or pricing surfaces where correctness and clarity are high-stakes. - A track record of growth wins you can point to: activation, conversion, or retention you measurably moved. - Comfort with experimentation, tooling, and reading data yourself, rather than waiting on a handoff. - Design-engineering literacy: comfort near code, motion, or prototyping, and curiosity about AI-assisted design. - Writing, talks, or side projects that demonstrate your craft and point of view. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

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. The role As a Public Affairs Specialist at Nebius , you will support the company’s engagement with policymakers, community stakeholders, and industry partners on issues affecting AI infrastructure and technology innovation. You will monitor legislative and regulatory developments, assess their implications for the business, and translate complex issues into clear policy briefs, talking points, and advocacy materials. Working with internal teams, you will help prepare stakeholder engagements, coordinate public affairs initiatives, and track commitments and follow-up actions. Your work will support informed decision-making, constructive stakeholder relationships, and Nebius’ reputation as a responsible AI infrastructure company. This role suits a proactive professional with strong research and writing skills, sound judgment, and the ability to manage multiple priorities. You should be comfortable moving between policy analysis and hands-on coordination, with a clear interest in how technology policy affects businesses and communities. Your responsibilities will include: Government & Regulatory Affairs Monitor and analyze legislative and regulatory developments relevant to AI, data infrastructure, and cloud technologies. Support engagement with elected officials, government agencies, and public institutions in collaboration with Public Affairs leadership. Draft policy briefs, issue summaries, and position papers to inform Nebius leadership. Coordinate Nebius’ participation in relevant trade associations and policy coalitions. Community & Stakeholder Engagement Build relationships with community, civic leaders, and project neighbors to educate on the benefits of AI, address concerns, and build the company’s social license to operate . Coordinate with local NGOs, schools, and workforce development organizations on community-focused investments . Represent Nebius at community open house events and community forums. Establish and manage the company’s Community Engagement Panel, a forum for two-way communication between Nebius and community leaders. Communications & Advocacy Collaborate with the Communications team to ensure consistent external messaging related to public policy and community initiatives. Assist in preparing talking points, press materials, and briefing notes for leadership engagement with external stakeholders. Track public sentiment, media coverage, and emerging issues relevant to Nebius’ reputation and policy agenda. Internal Alignment Partner cross-functionally with Legal, Policy, Compliance, and GTM teams to ensure business initiatives align with regulatory expectations. Provide timely updates and recommendations to leadership on policy risks or opportunities. We expect you to have: Bachelor’s degree in Political Science, Public Policy, Communications, or related field; 5–7 years of experience in government affairs, public policy, or external relations (preferably in tech, energy, or infrastructure sectors). Proven ability to translate complex policy topics into clear business implications. Experience engaging with government entities, advocacy groups, or trade associations. Strong writing and external communications skills; ability to synthesize information quickly and accurately. Excellent stakeholder management and interpersonal skills. Ability to build and maintain strong relationships with diverse stakeholders, including those opposed to development. Ability to travel as needed. Competencies & Behavioral Traits Stakeholder Influence: Builds trusted relationships with internal and external partners; tailors communication by audience. Business Acumen: Understands how policy, regulatory, and reputational factors influence business outcomes. Execution & Accountability: Manages multiple initiatives independently and delivers outcomes on time. Strategic Thinking: Anticipates policy and reputational risks; recommends proactive mitigation strategies. Collaboration: Works cross-functionally across Legal, Comms, and GTM teams to ensure alignment. You’re welcome to work remotely from Edmonton, Alberta 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 te 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: Berlin Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Head of Public Affairs for Germany on the Policy and Government Relations team, you will shape Mistral AI’s presence and influence in Germany, ensuring the company plays a leading role in the future of AI policy and regulation. This role exists to establish Mistral AI as a trusted thought leader in Germany, driving both public interest and business growth by navigating complex regulatory landscapes. You will work closely with policymakers, industry leaders, and internal teams to build a regulatory ecosystem that supports innovation while enabling adoption in the public sector. Your impact will be immediate: from shaping policy strategies to unlocking revenue opportunities, you will help Mistral AI thrive in one of its most critical markets. This role directly reports to our Public Affairs Director for EMEA, and may evolve to a larger DACH and/or Central Europe scope in the future. WHAT YOU WILL DO - Monitor and analyze AI-related policy developments in Germany and the EU, assessing their impact on Mistral AI. - Develop and execute a long-term public affairs strategy, including parliamentary engagement, position papers, and lobbying campaigns. - Engage with policymakers, industry leaders, and key opinion leaders to foster constructive dialogue on AI and technology policy. - Prioritize and respond to policy issues affecting Mistral AI, proposing solutions that align with business and community interests. - Advise cross-functional teams on regulatory changes, ensuring compliance and informing product and business decisions. - Collaborate with Sales to design strategies that accelerate public sector adoption of AI. - Track industry trends and best practices in public affairs, ensuring the team remains ahead of regulatory shifts. - Build and maintain a strong network in Germany to amplify Mistral AI’s influence and reputation. WHAT WE'RE LOOKING FOR - Extensive public affairs experience, with a track record of impacting policy-making, ideally in both public and private sectors. - Deep understanding of German institutions (federal, regional, and local) and the ability to map decision-making power. - Expertise in tech regulations, including GDPR, Copyright, AI Act, DMA, and tax laws. - Experience in highly scrutinized environments, where public affairs are critical to business success. - Trust-building skills, with the ability to defend positions rigorously, foster long-term relationships, and act as a thought partner. - Team player with a bias for action, ownership, and the ability to navigate ambiguity. - AI knowledge and familiarity with long-term industrial plans or model development (a plus). - Open Source mindset, aligning with Mistral AI’s commitment to openness and collaboration. 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: Amsterdam, Netherlands; London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for an Intercompany Accountant to support the Group's intercompany accounting processes across our international group, with a focus on cost-plus calculations, intercompany reconciliations, and period-end close. This is a hands-on accounting role suited to someone who enjoys working with detailed financial data and resolving discrepancies. The role works closely with local finance teams and other Group Finance stakeholders across entities and time zones. The role is responsible for the accurate, complete, and timely delivery of assigned intercompany accounting activities, from source-data validation and cost-plus calculations through posting, reconciliation, issue resolution, and close support. The position operates within approved accounting policies, intercompany agreements, methodologies, and control requirements, escalating material or unusual matters to the Intercompany Manager. Your responsibilities will include: Cost-plus calculations and agreement support Prepare end-to-end cost-plus calculations in accordance with approved intercompany agreements, methodologies, and mark-up rates. Extract and validate cost data, identify eligible costs, and apply agreed allocation keys, exclusions, and mark-ups. Maintain detailed calculation schedules, ensuring traceability to source accounting records and supporting documentation. Calculate periodic intercompany charges and true-ups, and prepare the related journal entries for review and approval. Coordinate with local finance teams to confirm cost inputs and ensure timely recording of charges by both counterparties. Reconcile calculated charges to invoiced and recorded amounts, investigate differences, and prepare proposed corrections. Support the maintenance of documentation required to evidence the application of approved intercompany agreements and cost-plus methodologies. Reconciliations and discrepancy follow-up Help with monthly intercompany profit-and-loss reconciliations and quarterly balance-sheet reconciliations using NetSuite reports and established templates. Match transactions and balances between group entities by counterparty and currency. Investigate differences arising from timing, foreign exchange, missing entries, incorrect coding, or other posting issues. Follow up with local finance teams to obtain supporting information and track outstanding items through resolution. Prepare proposed correcting entries for review and post approved adjustments. Identify recurring mismatch patterns and communicate root causes and practical remediation actions to the Intercompany Manager. Period-end close and reporting Complete assigned intercompany close activities within agreed deadlines and in line with the Group close calendar. Keep reconciliation trackers up to date, clearly documenting unresolved differences, follow-up actions, owners, and dependencies. Provide clear explanations and supporting evidence for external audits, internal reviews, and other finance queries. Communicate potential close risks early when required inputs, confirmations, or corrections are not received on time. SOX and internal controls Prepare and document a defined sub-set of the FSCP-REP control series related to intercompany processes We expect you to have: 5+ years of experience in accounting, preferably intercompany accounting or general ledger within an international or multi-entity organisation. Practical experience preparing cost allocations, intercompany recharges, or cost-plus calculations is an advantage. Strong Excel skills, including lookups and pivot tables. Experience with NetSuite or a comparable ERP system; NetSuite experience is an advantage. A degree or equivalent qualification in accounting, finance, or a related discipline. Strong written and spoken English for communication with international finance teams. Strong understanding of journal entries, account reconciliations, foreign currency (FX), and month-end close processes. Ability to work confidently with large financial datasets, identify patterns in reconciliation differences, and document clear root-cause analysis. Strong attention to detail and a structured approach to repetitive, deadline-driven accounting work. Comfort working in a fast-changing, international and post-IPO environment where processes and responsibilities may evolve as the Group grows. A collaborative approach and willingness to support colleagues across entities and time zones. 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: Boston, MA; Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY; Washington, DC 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's Corporate Systems team runs the core collaboration platforms everyone here works in and builds the tooling and automation behind IT. That responsibility extends to the companies we acquire. Their people, devices, and systems have to come into Anthropic securely. You'll own the IT side of Anthropic's acquisitions: due diligence, integration planning, and integration. Before close, you'll assess a company's IT environment and give the deal team a clear read on risk and effort. You'll define the technical integration plan and its requirements: what moves, where it lands, in what order, what has to be ready on day one, and how each security gap gets closed. After close, you'll carry out that plan and bring the company's people, devices, and systems onto our stack. This is a hands-on engineering role. You'll hold admin, write code, build automation, run the cutovers yourself and bring in other teams when the work calls for their expertise or support. You'll lead this work for IT Engineering and partner with Security, Corporate Development, Legal, People, and Finance at every stage. M&A will be your primary focus and responsibility, but you'll be a full member of the Corporate Systems team;  taking part in planning and reviews, using and contributing to the team’s tooling, and contributing to the roadmap. Early on, M&A will be most of your work, including using Claude to automate the repeatable parts of diligence and integration. As that automation matures, and when M&A load is light, you'll contribute to other parts of the team’s roadmap. Responsibilities Lead technical IT due diligence: assess a company's identity, applications, endpoints, and infrastructure, and brief the deal team on risk and effort before close Find the gaps between an acquired environment and Anthropic's security model, rate them, and build the mitigations into the integration plan Define the technical integration plan and its requirements: what moves, where it lands, in what order, and what has to be ready on day one Run the integration: take over administration, migrate people, devices, and data, and retire what's no longer needed, with support from other IT Engineering teams as required. Work with Business Technology, Client Platform, Corporate Network, IT Operations, and Security on their parts of each integration Keep Corporate Development, Legal, People, Finance, and the acquired company's team clear on where IT stands Build a repeatable IT M&A playbook and automate as much of it as possible with Claude When M&A work is light, contribute to core Corporate Systems projects You may be a good fit if you have 8+ years as a hands-on engineer in corporate IT. You have designed and shipped systems, carried out migrations or integrations yourself, and owned at least one area end-to-end, with experience supporting other areas: identity, applications, endpoints, or corporate infrastructure Experience administering enterprise identity and collaboration platforms such as Google Workspace, Slack, and an SSO provider, and working code in Python or similar against their SaaS APIs Working knowledge of endpoint management and security concepts, enough to lead diligence on an unfamiliar fleet A proven ability to understand an unfamiliar IT environment quickly and deliver a prioritized view of risk to non-specialists A record of leading technical projects that span several teams and run to a fixed date, while doing much of the engineering yourself Comfort working autonomously, with ambiguity and confidential information Clear communication with executives, legal and corporate development teams, and engineers at acquired companies Strong candidates may also have Prior M&A, carve-out, or company-to-company migration experience Experience across the full stack: endpoints, systems, applications, and infrastructure Hands-on experience managing a device fleet or running an MDM Experience working in or alongside a security team A record of building tooling that replaces manual IT work Using Claude or similar tools as a core part of how you work Representative projects Assess an acquired company's IT environment that nobody here has seen and produce a prioritized integration plan within days Design a way to size integration effort and risk for a company of any shape or size Automate bringing acquired people and devices onto Anthropic's identity and device management Write the IT risk memo for a live deal and present it to Corporate Development and Security leadership Deadline to apply: None. Applications will be received on a rolling basis. 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: $325,000 — $360,000 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Москва Agile-команда «**СПР ККСБ.Бизнес потенциал**» Управления развития технологий Рисков КИБ ищет full-stack аналитика для проектирования и внедрения прорывного продукта Сбера, который автоматизирует процесс кредитования корпоративных клиентов крупного и среднего бизнеса. Уникальность продукта в том, что с помощью широкого стека современных технологий (~ 30+ банковских систем) клиент получает одобрение по кредиту за считанные минуты, вместо 3-4 недель. Команда разрабатывает «мозг» кредитного процесса - систему автоматического принятия решения и оценки кредитных рисков. Обязанности **Чем предстоит заниматься:** * Сбор, анализ и документирование бизнес, функциональных и системных требований к ПО (включая интеграционные интерфейсы) * Согласование требований со всеми стейкхолдерами * Участие в постановке задач, поддержка процесса разработки и тестирования * Проведение авторской приемки и демонстрация доработок * Подготовка экспресс-оценок (трудозатрат / сроков) в части аналитики * Участие в проработке и принятии архитектурных решений * Анализ рисков и причин возникновения ошибок при разработке системы * Участие во внедрении продукта/инкремента продукта Требования **Что мы ожидаем от кандидата:** * Опыт работы на крупных IT-проектах не менее 3-5 лет в роли full-stack аналитика * Знание нотаций моделирования (UML, BPMN и т. д.) * Практический опыт проектирования и тестирования REST API, в том числе документирования через Postman и Swagger, а также взаимодействия через gRPC в микросервисной архитектуре * Разработка и описание схемы интеграций в распределённых системах, включая асинхронные взаимодействия через Apache Kafka * Опыт описания моделей данных ИТ-систем (до атрибутов сущностей) * Знание SQL на продвинутом уровне (сложные запросы, подзапросы, JOIN и т.д.), понимание принципов реляционных СУБД * Опыт написания документации: функциональных требований / бизнес-требований / технических спецификаций на разработку * Знание принципов разработки ПО, проектирования пользовательских интерфейсов, интеграции приложений, понимание принципов микросервисной архитектуры * Способность предвидеть потребности бизнеса и предлагать идеи и эффективные решения; * Знание и понимание принципов Agile и/или DevOps и/или Scrum * Опыт командной разработки с использованием программных продуктов Confluence и Jira * Умение и желание работать с AI-инструментами в рамках выполнения рабочих задач **Будет плюсом:** * Участие в исследовательских инициативах по развитию AI-решений * Знание принципов организации файлового обмена (csv) Условия Что мы предлагаем: • Офисный формат работы (график 9:00-18:00) • Ежегодный пересмотр заработной платы и премиальные выплаты • Более 400 курсов от СберУниверситета для профессионального и личностного роста • Расширенная медицинская страховка, льготы на страхование близких и корпоративная пенсия • Льготная ипотека с пониженным процентом • Бесплатная подписка СберПрайм+, скидки у партнёров • Возможность получить бонусы за рекомендации своих знакомых

As a Senior Software Engineer at Prove, you will play a critical role in building, maintaining, and scaling the technology that powers the next generation of identity verification. Engineering Excellence:

Location: Japan 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 hiring a senior Account Executive to drive customer acquisition and growth across Japan. This is a strategic hunter role, focused on expanding adoption of our AI and cloud platform with new and existing customers in the region. You will own complex, high-value sales cycles end to end—building executive relationships, uncovering new opportunities, working closely with partners, and closing deals that drive long-term customer value. Success in this role requires strong consultative selling skills, the ability to translate complex business needs into tailored solutions, and comfort operating in a fast-moving, innovative environment. This role blends strategic thinking with hands-on execution and will play a key role in helping customers unlock the full potential of Nebius’ AI and cloud offerings. As a core member of our founding Japan business team, you will have the opportunity to help shape the foundations of our culture and operations while working remotely and being based in the Greater Tokyo Area. Your responsibilities will include: Own and grow your territory: Build and execute a strategic territory plan, delivering against revenue and growth targets. Negotiation & closing: Lead complex, multi-stakeholder negotiations with C-suite and senior decision-makers, closing deals that support long-term partnerships. Solution selling: Demonstrate the value of Nebius’ AI and cloud platform through consultative discovery, tailored presentations, and product demonstrations. Client engagement: Develop trusted relationships with key stakeholders across the enterprise, aligning solutions to customer-specific challenges and outcomes. Team orchestration: Partner closely with Sales Engineers, Industry Specialists, Partners, and Customer Success to deliver differentiated value propositions. Forecasting & execution: maintain strong forecast accuracy and delivering against ACV and activity targets. Market presence: Represent Nebius at regional and industry events, webinars, and customer forums. Subject matter expertise: Stay current on industry trends, emerging technologies, and the competitive landscape to position our solutions effectively. We expect you to have: 10+ years of B2B sales experience, ideally in AI, cloud, data infrastructure, or related technologies. A proven track record of exceeding sales targets, generating pipeline, and maintaining forecast accuracy. Experience selling cloud platforms (AWS, Azure, Google Cloud), AI solutions, or complex enterprise technologies. Strong commercial acumen, including value-based selling, executive storytelling, negotiation, and multi-year deal structuring. A genuine interest in working in a high-growth, startup environment, with a desire to directly impact company growth. Willingness and ability to travel within the region as needed. It will be an added bonus if you have: Prior experience in a high-growth or early-stage startup environment. 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: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia We are hiring in Latin America! 🟢 At Dev.Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity. We invite a strategic, results-driven, and people-focused Delivery Director with deep expertise in delivery and project management to join our team. You’ll lead Dev.Pro’s delivery operations, ensure exceptional service, and support business growth across several major client accounts in industries such as FinTech, Retail, and Hospitality. You’ll also shape and optimize delivery processes to drive efficiency and quality, while fostering a strong culture and high engagement within your teams. 🟩 What's in it for you: Drive delivery excellence for Dev.Pro’s major accounts, leading distributed teams to deliver high-quality solutions Work closely with clients in FinTech, Retail, and Hospitality, gaining expertise in complex, innovative projects and industry best practices Develop and enhance your leadership, delivery management, client engagement, operational strategy, and technical skills 🧩 Key responsibilities and your contribution In this role, you’ll drive operational excellence across delivery teams while ensuring client satisfaction and supporting account growth. Lead delivery for major client accounts, ensuring high-quality, timely solutions Align with clients on project and program outcomes, monitor satisfaction, and manage escalations Propose innovative improvements to processes, tools, technology, and suggest new business/project ideas to clients Maintain relationships with senior client stakeholders and identify opportunities within existing accounts Participate in revenue and margin planning; organize workload planning and optimal resource utilization Align delivery costs with revenue plans to achieve margin targets Collaborate with CTO and Marketing to develop and promote new technical capabilities and service offerings Support Sales with presentations, proposals, pricing, and contract negotiations Launch new accounts, coordinating staffing and aligning processes with client expectations Represent the company at client meetings, networking, and industry events Ensure managers address people issues, provide feedback, monitor performance, and develop careers Coordinate with HR and Training on people policies, compensation, bonuses, and training ✅ Is that you? 10+ years of project and program management in software product or IT (application management) Experience managing 100-150+ people and $10–15M annual budgets across teams and projects Leadership, change advocacy, and effective communication, including executive interaction skills Experience hiring, developing, and retaining technical and managerial talent Strategic thinking, decision-making, and accountability 7+ years managing outsourced engineering or IT service delivery to external clients Advanced knowledge of SDLC and project management Operational management of delivery services to achieve CSAT and profitability targets Knowledge of delivery metrics (profitability, utilization, customer satisfaction, quality) Process design and optimization with experience building systems from scratch Pre-sales participation and strategic stakeholder engagement Experience supporting upselling to new and existing accounts through proactive proposals Financial management and strategic planning skills Creativity, initiative, and problem-solving with a structured approach to operations and delivery Desirable: Experience in Retail, Hospitality, or FinTech Certifications such as PMP, SAFe, or ITIL Working knowledge of cloud computing, data management, and full-stack engineering Software engineering background with practical development experience Experience in software product companies (ISVs), managing large enterprise accounts and distributed, multinational teams Talent development experience, including mentoring managers and building mature teams Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Offer Interested? Find out more: 📋How we hire 💻 LinkedIn Page 📈 Our website 💻IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Singapore 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 hiring a senior Account Executive to drive customer acquisition and growth across APJ. This is a strategic hunter role, focused on expanding adoption of our AI and cloud platform with new and existing customers in the region. You will own complex, high-value sales cycles end to end—building executive relationships, uncovering new opportunities, working closely with partners, and closing deals that drive long-term customer value. Success in this role requires strong consultative selling skills, the ability to translate complex business needs into tailored solutions, and comfort operating in a fast-moving, innovative environment. This role blends strategic thinking with hands-on execution and will play a key role in helping customers unlock the full potential of Nebius’ AI and cloud offerings. This role is also a core member of our founding APJ team, currently operating remotely out of Singapore . Your responsibilities will include: Own and grow your territory: Build and execute a strategic territory plan, delivering against revenue and growth targets. Negotiation & closing: Lead complex, multi-stakeholder negotiations with C-suite and senior decision-makers, closing deals that support long-term partnerships. Solution selling: Demonstrate the value of Nebius’ AI and cloud platform through consultative discovery, tailored presentations, and product demonstrations. Client engagement: Develop trusted relationships with key stakeholders across the enterprise, aligning solutions to customer-specific challenges and outcomes. Team orchestration: Partner closely with Sales Engineers, Industry Specialists, Partners, and Customer Success to deliver differentiated value propositions. Forecasting & execution: maintain strong forecast accuracy and delivering against ACV and activity targets. Market presence: Represent Nebius at regional and industry events, webinars, and customer forums. Subject matter expertise: Stay current on industry trends, emerging technologies, and the competitive landscape to position our solutions effectively. We expect you to have: 10+ years of B2B sales experience, ideally in AI, cloud, data infrastructure, or related technologies. A proven track record of exceeding sales targets, generating pipeline, and maintaining forecast accuracy. Experience selling cloud platforms (AWS, Azure, Google Cloud), AI solutions, or complex enterprise technologies. Strong commercial acumen, including value-based selling, executive storytelling, negotiation, and multi-year deal structuring. A genuine interest in working in a high-growth, startup environment, with a desire to directly impact company growth. Willingness and ability to travel within the region as needed. It will be an added bonus if you have: Proficiency in additional regional languages beyond English. Prior experience in a high-growth or early-stage startup environment. 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; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in New York, San Francisco, and Seattle. We are looking for a Prototype Researcher to join Runway Labs — our research and exploration team pushing the frontier of AI video and General World Models. You’ll imagine, design, and build experimental experiences that make emerging AI capabilities tangible and communicate a compelling vision for where the technology is heading. This role combines creative thinking, hands-on prototyping, and storytelling. You should be able to develop an original idea, build a working prototype, and shape it into a clear, memorable demonstration. Your work will help people understand new AI systems through experiences they can see, use, and engage with. Working closely with researchers, engineers, and designers, you’ll explore new interfaces and interaction paradigms for AI-generated video, world models, and agentic systems. The focus is on research explorations that express our vision, reveal new possibilities, and strengthen Runway’s position as a full-stack research organization. We’re looking for a motivated self-starter with strong creative judgment, technical fluency, and a portfolio that shows both what you can build and how well you can communicate an idea. WHAT YOU’LL DO - Develop original concepts that explore the possibilities of emerging AI systems, from interactive video and world models to agentic experiences. - Design and build working prototypes that turn research capabilities into engaging, understandable experiences. - Shape each project’s story: what it explores, why it matters, and what it suggests about the future. - Package explorations into polished demos, films, and interactive experiences that communicate our research and vision. - Collaborate with researchers and engineers to understand new capabilities and identify compelling ways to demonstrate them. - Move quickly through experimentation, using prototypes to test ideas and refine both the experience and its narrative. WHAT YOU’LL NEED - A portfolio of original projects that demonstrates creative thinking, design craft, technical execution, and strong storytelling. - The ability to take an idea from an early concept to a working prototype and a compelling presentation. - Hands-on experience building interactive experiences with code, with the judgment to choose the right tools for each experiment. - Strong visual and interaction design skills, with an eye for detail and an instinct for making complex ideas accessible. - Genuine curiosity about AI video, world models, agentic systems, and emerging generative media. - Comfort working in ambiguous research environments, defining your own direction, and learning new tools as the work evolves. - The ability to explain the purpose and potential of your work clearly, through writing, visuals, demos, or film. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Senior Payroll Specialist owns end-to-end Dutch payroll, operated in Nmbrs, and acts as the designated backup for the company’s other international payrolls. This role harmonizes, simplifies, and continuously improves payroll execution and payroll accounting across the company’s Dutch entities, pay groups, providers, and systems. This is to make sure payroll remains accurate, compliant, trusted, and understandable as the company grows without a proportional increase in manual work or risk. As international backup, the role maintains working proficiency in the company’s other country payrolls and provides continuity during peak periods, absences, and year-end. Your responsibilities will include: Own end-to-end Dutch payroll execution in Nmbrs across entities and pay groups: monthly and off-cycle runs, holiday allowance, year-end close and annual statements (jaaropgaven), and the payroll calendar; define consistent execution standards that meet Dutch statutory and contractual requirements. Ensure Dutch payroll tax and social security compliance: wage tax and national insurance contributions (loonheffingen), employee insurance and Zvw premiums, the work-related costs scheme (WKR), timely and accurate loonaangifte to the Belastingdienst, corrections, and resolution of Belastingdienst and UWV correspondence. Administer regulated and complex pay items accurately: the 30% ruling and other expatriate and cross-border arrangements, equity income (RSU/option) taxation, pension contributions and provider files, sick leave and statutory leave schemes, transition payments and termination settlements, wage garnishments (loonbeslag), and taxable benefits-in-kind. Run and reconcile shadow payrolls in Nmbrs for internationally mobile employees (inbound assignees, cross-border and remote workers, and outbound Dutch employees with a host-country shadow payroll) Serve as the designated backup for the company’s other international payrolls: maintain working knowledge of country calendars, providers, and controls, and run or support pay cycles during absences, peak periods, and year-end in coordination with the payroll owners. Lead root-cause analysis for recurring payroll, accounting, or service failures; design and implement durable fixes. Drive process harmonization and simplification to reduce manual steps, handoffs, rework, and off-cycle runs; make full use of Nmbrs functionality, integrations, and reporting. Lead payroll execution during transitions (new entity launches, provider or system changes, restructures/M&A), ensuring continuity and control. Ensure payroll accounting remains clean as scope changes: consistent journals, accruals, reversals, and reconciliation standards. Monitor preventative controls by design, including SOX-aligned payroll controls; improve evidence pack quality and audit readiness. Act as escalation owner for complex or sensitive pay issues; provide authoritative explanations to employees and senior stakeholders. Partner with HR Ops, Finance, Legal/Compliance, Nmbrs, and international payroll providers to deliver scalable operating models and service quality. We expect you to have: At least 7+ years of Dutch payroll experience, including multi-entity scope in complex environments (growth, change, or hybrid in-house/outsourced models). Hands-on Nmbrs experience is prefer: running payroll end to end, configuring wage components and journal mappings, managing loonaangifte and corrections, and using its reporting and integrations (HRIS, GL, pension and benefits providers). Deep working knowledge of Dutch payroll compliance: loonheffingen and social security, WKR, the 30% ruling, expatriate taxation and shadow payroll, pension administration, sick leave and statutory leave, termination settlements, and year-end reporting. Working knowledge of international payroll (running or overseeing outsourced country payrolls) and readiness to act as the designated backup for the company’s other payrolls. Strong payroll controllership skills: ability to design controls, enforce SoD/approvals, and ensure audit-ready evidence. Proven capability improving payroll processes (standardization, automation enablement, reducing manual effort and errors) and leading transitions (vendor/system/new entity) with structured planning and issue resolution. Strong payroll accounting knowledge and experience working with Finance during close and audits. Excellent stakeholder management; comfortable acting as an escalation owner and payroll authority. Fluent English and professional working proficiency in Dutch (statutory correspondence, legislation, and provider documentation are in Dutch). It will be an added bonus if you have: Dutch payroll qualification (PDL and/or VPS) and/or Nmbrs certification. Experience with international payroll providers or aggregators and multi-country operating models (SLAs, KPIs, remediation). Experience operating payroll controls in a SOX-compliant, US-listed company environment. Experience with equity compensation payroll (RSUs/options), including cross-border cases and trailing tax liabilities. Experience supporting Global Mobility programs: shadow payroll set-up, tax equalization/protection and hypothetical tax, gross-ups, and year-end assignee reconciliations with tax advisors. Experience turning statutory/operational requirements into system/workflow requirements (e.g., Nmbrs–HRIS–GL integrations). Project management certification or comparable experience leading cross-functional initiatives. Competencies & Behavioral Traits: Systems thinking: redesigns the process so it scales, rather than adding checks and manual work. Bias for prevention: anticipates issues and builds guardrails. Influence without authority; can align multiple stakeholders around standards. Comfort with ambiguity and change; makes decisions with incomplete information. Reliability and ownership: a dependable backup who keeps continuity across payrolls when it matters most. Strong coaching mindset; elevates capability across the payroll team. #LI-DY1 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 - Ireland Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Technical Support Engineer 2 Ireland on Twilio’s Voice, Platform Application & Segment teams (VSPA). About the job This position is needed to support our customers’ use of the Twilio platform, and help customers get the best experience from Twilio’s products. You will function as the voice of Twilio to our customers and partners, and operate as a subject matter expert for Twilio’s APIs and SDKs. This position also includes rostering. Rosters will be of a 5 day work week, and could include one or both weekend days. Responsibilities In this role, you’ll: Use your strong technical and diplomatic skills to address customer issues and provide customer feedback to Twilio’s Product and Engineering teams. Work with our customers' and partners' developers, architects, and support personnel to resolve complex problems with potentially very costly and far-reaching consequences. Leverage your experience with troubleshooting and resolving Quality of Service (QoS) issues. Collaborate with your teammates and the Twilio Product and Engineering teams via Slack as well as filing JIRAs to report reproducible bugs. Review internal knowledge to stay current on industry shifts and standards. Assist your manager in process improvements by surfacing customer pain points to assist in process improvement. This position will also require supporting our customers on holidays to ensure that our customer’s needs are met. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 2+ years of Technical Support Experience or similar relevant experience. Full-Stack Javascript Tech Support experience with capabilities to troubleshoot server-side code (bonus would be either of: Node.js, C# or Java or python) and client-side code (JavaScript). React.js is a bonus. A good understanding of Object-Oriented Programming (OOP) concepts. Basic understanding of SQL and query-writing skills. Good understanding of APIs, HTTP Protocol, and RESTful services. Skills in troubleshooting network connectivity issues, with an understanding of TCP/UDP, and basics of SSL/TLS. Experience troubleshooting SIP, VoIP, and IP telephony issues. High competency in communicating complex technical issues to both technical and non-technical audiences via phone or email mediums. Ability to stand in the customer’s shoes and demonstrate dedication to the customer experience. Excellent written and verbal communication skills. Desired: Bonus skills: - Serverless (Lambda) experience. - Expertise with both native and mobile applications is a great bonus. - Having related experience in troubleshooting contact center products. - Good knowledge of RESTful technology, previous work with APIs and ability to understand and troubleshoot issues with cloud solutions. Understanding of WebRTC is a plus. Experience working collaboratively with team members in different geographic locations and time zones. Advanced time management skills, ability to work well under pressure, and proficiency at developing workflows to increase troubleshooting efficiency while still following standard processes and procedures. Ability to influence and build effective working relationships with all levels of the organization. Interest in utilizing customer feedback to identify and drive improvements in our products. Location This role will be remote, and based in Ireland. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Tel Aviv, Israel 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 This position sits within Nebius Token Factory , our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning ( LoRA , full FT , RFT ) backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference and fine-tuning platforms for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement optimized inference workflows, build customized LLM-based solutions and architect scalable AI applications using our served models. You will also work closely with our backend team to improve our platform to match clients' needs. You’re welcome to work from Tel Aviv, Israel. Your responsibilities will include: Optimize LLM inference across various modalities to drive business value and support customer goals Provide support in supervised and reinforcement learning fine-tuning to maximize model quality for the customers Design and implement LLM-based solutions using Nebius Token Factory’s inference services Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models Provide technical expertise in prompt engineering, RAG architectures and model selection Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency We expect you to have: 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI Deep knowledge of the LLM ecosystem , including model architectures and fine-tuning approaches Hands-on experience with: Running LLMs in production : deploying and operating inference workloads LLM fine-tuning , including supervised fine-tuning (SFT/ LoRA ) and data preparation/curation; experience with RL -based fine-tuning is a strong plus LLM evaluation : building task-specific benchmarks and offline/online eval pipelines , including LLM-as-a-judge setups Inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers) Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models Strong Python programming skills Excellent communication skills , with the ability to clearly explain technical concepts to diverse audiences It would be an added bonus if you have: Work with multimodal AI models (e.g., vision-language, speech) Proficiency with DevOps tools (Docker, Kubernetes) Contributions to open-source ML/AI projects Preferred technical stack: Programming Languages: Python ML Frameworks and Libraries : vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs MLOps and DevOps tools : Kubernetes (K8s), Docker, Git Cloud Platforms : AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) #LI-DK1 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: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the Role We are looking for a delivery-focused Security Operations Project Manager to join the Cyber Security PMO, reporting to the Head of PMO under the CISO. This is a dedicated, single-program role: you will own end-to-end delivery of the Global SOC Operation program one of the most strategically significant initiatives in the CISO organization. The program spans five major workstreams across SOC design, telemetry, detection, incident response, and continuous improvement. You will be the engine that keeps this program moving. What You Will Own You will be the single accountable PM for the Global SOC Operation program; responsible for driving execution, maintaining delivery momentum, and ensuring nothing falls through the cracks across a large, multi-workstream program. Execution and Delivery : own the end-to-end project lifecycle across all workstreams: from project initiation and planning through execution, validation, and formal closure. Ensure every workstream has a clear plan, named owners, realistic milestones, and a path to delivery. Planning and Tracking : build and maintain detailed project plans in Jira. Keep the program board accurate, up to date, and executive-ready at all times. Translate ambiguous objectives into structured, executable task hierarchies with clear ownership and sequencing. Dependency and Risk Management : identify and manage cross-workstream dependencies before they become blockers. Maintain a live RAID log, drive mitigations, and escalate critical risks with full context and a recommended course of action. Stakeholder Coordination : run structured governance across a wide range of stakeholders including SOC engineering, IT, Legal, Privacy, HR, Finance, and CISO leadership. Facilitate kickoffs, steering reviews, and milestone sign-offs. Navigate cross-functional friction, Privacy, Legal, Work Council; with persistence and structured escalation. Reporting and Visibility : produce concise, accurate status reporting for the Head of PMO and CISO. Surface progress, risks, decisions, and next steps in a format that enables fast, informed decision-making. What We Expect 4–6 years of hands-on project or program management experience with a strong delivery track record in complex, cross-functional technical environments. Proven ability to manage a large, multi-workstream program simultaneously. Deep Jira proficiency: task and epic management, board configuration, dashboards, reporting, and portfolio tracking. Strong project decomposition skills; able to take an ambiguous objective and break it into structured, executable workstreams with named owners and milestones. Proactive risk mindset: anticipates blockers, surfaces them early, and drives resolution without waiting to be directed. Strong written and verbal communication in both Hebrew and English, with confidence engaging global stakeholders. Technological orientation — able to understand SOC architecture, tooling stacks, and security workflows at a sufficient level to manage delivery and challenge estimates. Experience working within a SOC, CISO, or security operations environment; a must. Familiarity with SOC domains: SIEM, SOAR, detection engineering, threat hunting, DFIR, or incident management; a must. Nice to Have Knowledge of security frameworks such as NIST CSF, MITRE ATT&CK, or ISO 27001. Experience coordinating follow-the-sun or multi-region operational programs. Experience working with globally distributed teams in a high-growth technology or cloud infrastructure company. PMP, PRINCE2, or equivalent project management certification. What We Offer Ownership of one of the most strategically important programs in the Nebius security organization. Direct visibility to CISO leadership and real impact on how Nebius builds and operates its global SOC. A fast-moving, high-growth environment where you will build something from the ground up. A collaborative team with deep domain expertise across offensive security, SOC automation, CTI, and engineering. 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: Berlin, Germany 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 Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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: Zurich, Switzerland 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 Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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: London, United Kingdom 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 Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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.