Вакансии

Location: San Jose, California or Remote Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: San Jose, California (Hybrid) Annual salary: USD 140,000 - USD 185,000 Type: Full Time Reports to: VP of Marketing The Role As our Sr. Marketing Manager, Accessories, you will own go-to-market for new Nex Playground accessories and merchandise. That includes travel cases, skins, protectors, mounting solutions, extra cables, and Nex merch and apparel. You'll lead the first phase of every launch: taking new products to market through our direct-to-consumer and e-commerce channels, including Amazon and TikTok Shop. Your job is to prove each product works: real consumer demand, product-market fit, and a healthy margin structure. Once a product is proven, you'll hand it off to our commercial team to scale into retail, with the story and data they need to start early retailer conversations. This role is ideal for a marketer who loves launching products, reads the numbers closely, and can orchestrate many teams toward one clear outcome. What You'll Do Phase 1 Go-to-Market Own end-to-end launch plans for new accessories and merch, from concept through launch and early sales. Develop positioning, messaging, and launch assets that make each product easy to understand and want. Provide input on pricing, bundles, and assortment in partnership with Product and Finance. Orchestrate launches across our D2C store, Amazon, and TikTok Shop. Prove Product-Market Fit Define success metrics before launch, such as demand, conversion, attach rate, ratings and reviews, return rates, and contribution margin. Design and run tests across pricing, bundles, offers, and creative to learn quickly. Build clear recommendations to scale, iterate, or sunset each product based on results. Cross-Functional Orchestration Partner with our growth and performance marketing experts to plan and optimize paid, social, and marketplace programs. Work with Creative, Content, and Social teams on assets for PDPs, TikTok, email, and the Nex website. Coordinate with Product and Operations on launch timing, inventory, and forecasts. Brief and manage vendors and partners for merch and apparel programs as needed. Handoff to Scale Package results, consumer insights, and the sell-in story so our retail management team can begin early retailer conversations. Transition proven products to the commercial team with a repeatable launch playbook. Consumer Insight Bring the voice of the customer into every decision, using reviews, social listening, and community feedback. Identify gaps and opportunities that shape the future accessories roadmap. What You'll Bring Experience 8+ years in product marketing or go-to-market roles for consumer products, ideally in accessories, consumer electronics, gaming, toys, or lifestyle brands. A proven track record of launching products through D2C and Amazon. TikTok Shop or social commerce experience is strongly preferred. Experience with merchandise or apparel programs is a plus. Skills & Strengths Strong commercial acumen across unit economics, pricing, margin, and demand forecasting. Data-driven decision maker who is comfortable with marketplace, e-commerce, and marketing analytics. Excellent writer and storyteller who can make simple products feel compelling. Highly organized, with the ability to run several launches at once. Collaboration & Mindset A natural orchestrator who aligns people without needing direct authority. Test-and-learn mindset, with the judgment to move fast and the discipline to measure. Comfortable in a small, fast-moving environment with evolving priorities. Passion for building products and experiences that families love. What Success Looks Like A clear accessories roadmap that has cross-functional alignment of new accessories and merch that compliment our platform & ecosystem strategy A customer-led insights process that guides and supports key decisions on new products, driven by tangible market and customer research Business plans and GTM plans that are fully documented and positioned for success with sign-off from the leadership team before new accessories move into production and marketing team action around the plan Clear messaging, value proposition, and pricing recommendations for new products that support the business plan/thesis Successful GTM orchestration across multiple internal teams, from the product teams to the marketing communications teams that assemble the creative and deliverables to drive new launches, meet the sales goals, and sustain the business plan Initial learnings in market with a first launch phase of growth to validate the business contribution of the accessory and establish a growth path before broader commercial business development (retail development, international expansion, etc) We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Remote (US, Canada & UK) Workplace: remote Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.   We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies. About the role Our Finance & Analytics team owns the authoritative view of Metabase's business performance, and the opinionated read on what's driving it. Internally, this is used to drive decisions; externally, this is used to meet our obligations to investors, auditors, and tax authorities. We’re looking for a quantitative-minded generalist to lead a portfolio of analytical projects across the business and own an area of finance operations. Your analytical projects will focus on how we measure and understand the broader business: establishing authoritative definitions for key metrics and investigating what’s driving changes in the data. In your operational area, you’ll run the work and build systems that make it reliable and increasingly automated, drawing on external specialists for technical expertise. This isn’t a traditional finance role: we’re a small team of generalists who think in systems, learn unfamiliar domains quickly, and reason through problems from first principles. Responsibilities Leading analytical projects that change how we understand the business. Examples include: Adapting our ARR definition as our business model evolves Evaluating the health of our sales and marketing funnel Finding relationships between product initiatives and expansion or churn Owning a traditional finance domain (such as Accounting or Tax). This will involve a combination of operational work, managing external experts, and evaluating the overall health of the operation Automating the workflows in your domain so our operational and compliance requirements take as little manual effort as possible. Our aspiration is that areas of traditional finance are treated similarly to analytical systems: a set of inputs that are transformed via defined logic to produce a targeted outcome or insight Leading cross-functional projects to tackle operational problems as they arise About you You think in systems: you understand how pieces fit together, build reliable processes, and automate repetitive work You think in terms of numbers and are comfortable in a wide range of analytical domains, whether that’s financial modeling, doing intermediate statistical analysis, reviewing the methodology of external vendors, or transforming raw data. You can spot inconsistencies quickly, and enjoy getting to the right answer. SQL experience strongly preferred (nice-to-have: analytics engineering experience) You know how to use AI to improve efficiency, and enjoy experimenting with novel applications of the technology. Just as importantly, you know the limitations of AI and don't use it as a substitute for your own thinking You learn fast. For example, you don't need to be an accountant, but you can learn the rules of accounting (or other specialist domains) and apply them to day-to-day problems You are adept at managing vendors, building strong relationships, and holding them accountable when needed You have strong organizational skills with a high attention to detail: you enjoy checking items off your checklist, and can seamlessly balance multiple threads of work Minimum 3–5 years experience, preferably in a high-growth startup Strong quantitative undergraduate degree (nice to have: MBA) Based in the US, Canada, or UK Low-ego attitude: no job should be too small or too large Nice-to-have: some familiarity with accounting principles or coursework Compensation The US base salary range for this role is $150K–$200K annually, plus equity and benefits. Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors. Benefits We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment. We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.   For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.   E-Verify Participation Notice (English/Spanish) Right to Work Notice (English/Spanish)

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Subject Matter Expert (SME), you'll be the deepest technical voice in the field for one product group, helping customers make technical decisions on GitLab's most important opportunities, roughly the top 10% by size or complexity. Account Solutions Architects (Account SAs) will bring you into prioritized opportunities. The Account SA owns the opportunity; you own your product group's success within it. You'll work directly with Product and Engineering, bringing customer needs and field insights into roadmap discussions. You'll also help the wider Solutions Architecture team build expertise through reusable assets, enablement, and coaching. You'll specialize in one product group, not all four. In Security & Compliance, you'll focus on GitLab Ultimate, application security, Dependency Firewall, software supply chain security, compliance, and artificial intelligence (AI) governance. In Platform, you'll focus on GitLab Dedicated, self-managed deployments, bring your own model, and cloud and hybrid architecture. In Core DevSecOps, you'll focus on GitLab Premium, continuous integration and continuous delivery (CI/CD), source code management, Orbit, Artifact Central, and migrations. DevSecOps brings development, security, and operations together across software delivery. In AI & Competitive, you'll focus on GitLab Duo Agent Platform, agentic workflows, AI-native development, competitive displacement including GitHub, and migrations. Your success will be measured by technical win rate and bookings on SME-engaged opportunities, product-category commit attainment and consumption growth in your region, and Proof of Value (PoV) conversion rate, evaluation cycle time, and time from technical win to production use. We'll also measure how often Account SAs reuse your assets, their confidence in handling your product group without escalation, and the quality and impact of your feedback to Product. What you’ll do Act as the technical authority for your product group on prioritized opportunities, from discovery and architecture through trials and PoV evaluations. Lead technical deep dives, workshops, and executive briefings that connect product capabilities to business outcomes and explain how GitLab differs from competing solutions. Design and improve standardized PoV templates with clear, repeatable success criteria. Account SAs own the customer PoV; you'll contribute product-specific content and expertise while keeping the evaluation connected to the broader GitLab platform. Equip account teams for product launches with Product Management and Product Marketing. Build demos and talk tracks, and turn early customer wins into reference stories. Serve as the escalation point for Account SAs and Post-Sales Solutions Architects (Post-Sales SAs) on complex product questions, integrations, and objections. Hand off PoV success criteria and architecture decisions to the Post-Sales SA with the account team when an opportunity closes. Stay involved until the customer's first production workload uses the product, and support complex accounts when Post-Sales SAs bring you in to drive adoption and consumption. Bring structured field feedback, competitive insights, and customer requirements to Product Management and Engineering with the wider SME team. Help manage early-access and design-partner programs, and represent GitLab through customer events, conferences, industry working groups, and published content. Build reference architectures, demo environments, competitive battlecards, PoV playbooks, and enablement content so account teams can handle more opportunities without your direct involvement. Mentor Account SAs and contribute to GitLab's global SME community of practice. What you’ll bring Substantial experience in technical pre-sales, solutions architecture, consulting, or software engineering, with deep, hands-on expertise in one domain: application security testing, supply chain security, and compliance; scalable cloud and hybrid platforms; large CI/CD environments and source code migrations; or production AI-assisted development, working prototypes, and competitive evaluations. Practical expertise in agentic and AI-assisted development workflows across planning, coding, testing, security, and delivery, applied in a customer-facing, pre-sales context. Experience winning technical decisions on large, complex enterprise opportunities through structured Proof of Concept (PoC) or PoV evaluations with defined success criteria and executive sign-off. Hands-on experience with Git, CI/CD, containers, Kubernetes, and at least one major cloud provider. The ability to lead a whiteboard session with engineers and present the business case to executives in the same meeting. Strong written communication, including the ability to turn complex topics into clear playbooks that others use. Comfort working asynchronously across time zones with Sales, Product, and Engineering. Optional: public speaking, published technical content, open source contributions, or relevant certifications in Kubernetes, cloud architecture, or security. If you bring transferable experience in an adjacent domain, we encourage you to apply. About the team We're building our SME organization within GitLab's Solutions Architecture team, and we're distributed and all-remote. How GitLab will support you Be nefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $166,200 — $279,900 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for a SDK Engineer - Python to join our SDK team and own how developers talk to Supabase from Python. You'll work closely with the rest of the SDK team, our Auth, Realtime, Storage, PostgREST, Functions, CLI and Docs teams, and the open-source community, helping us make the Python SDK a library Python developers genuinely enjoy using. Python developers reach Supabase from backend services, data pipelines, notebooks, and a growing number of AI agents and agent frameworks. The Python SDK is how all of them talk to the platform: database queries, auth, storage, realtime and edge functions, in both sync and async flavors. This is a library-authoring role, and the work happens in the open: public repos, public issue trackers, and API decisions whose consequences last for years. If you get satisfaction from a type checker that catches the bug before your users do, from an async client that cleans up after itself, and from an issue tracker that isn't a graveyard, you'll like it here. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU'LL BE RESPONSIBLE FOR - Build and evolve our Python SDK across database, auth, storage, realtime and functions, with both sync and async APIs that feel natural in Python. - Start new things. Alongside the maintenance work, find what's missing, make the case for it, and build it. Nobody will hand you the list. - Work in the open. Triage inbound issues, review and shepherd outside contributions, keep CI and release automation healthy, and hold a clear, kind line on scope. - Own the typing experience. Make the SDK fully typed and checker-friendly, so autocomplete and static analysis stay correct in real codebases. - Keep us honest across environments. Multiple Python versions, sync and async frameworks, workers, serverless and notebooks — with dependency ranges that don't fight our users' projects. Test it, don't assume it. - Work on realtime. Long-lived websocket connections, reconnection, and subscription and presence semantics. - Track the platform. When auth, realtime, storage, postgrest or edge functions ship a change, make sure the SDK reflects it, and that we say so in the changelog. - Design in public. Write the RFCs, migration guides, release notes and docs. Treat a breaking change as a deprecation path plus a migration story, not a version bump. - Make our SDK legible to AI coding agents, which are now a major consumer of it. YOU MIGHT BE A GOOD FIT IF YOU - Know modern Python typing deeply. You use generics, protocols, overloads and TypedDict as design tools, run strict type checking, and fix type errors without reaching for Any. - Have authored or maintained a published library with a public API and users outside your own company. You know what it costs to change something people depend on. - Know the maintainer side of open source. Issue triage at volume, reviewing outside PRs, release automation, changelogs and semver, security reports, and saying no to a feature request without losing the person who asked. - Are fluent in asyncio and have opinions on how a library should serve both sync and async callers. - Know Python packaging for libraries: pyproject.toml, wheels, modern tooling, version support policy, and why libraries shouldn't pin their dependencies tightly. - Test as a habit: unit, type-level and end-to-end against a real stack. Every fix comes with a regression test. - Write well. Design docs, changelogs and issue replies are a large part of the output here, much of it public, and we're async by default. - Have real autonomy: you find the important work, scope it, ship it, and say what you didn't do. - Communicate clearly across both technical and non-technical audiences - Have experience in async or globally distributed teams - Are energized by solving real-world problems for developers - Are comfortable navigating ambiguity and moving quickly Bonus points if you: have run a major-version migration for a public package, know your way around JWT/OAuth, have built integrations for AI agent frameworks, or have generated idiomatic clients from a schema. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a highly technical and hands-on accounting professional to join our growing finance organization. As a Technical Accounting & Financial Reporting Manager, you will play a critical role in supporting a public company environment by leading the analysis and documentation of complex accounting matters and ensuring high-quality, compliant financial reporting. This role is ideal for someone who thrives in a fast-evolving AI infrastructure business, where transactions span revenue contracts, large-scale infrastructure investments, strategic financing, and M&A activity. Your responsibilities will include: Lead technical accounting analysis and documentation for complex and non-routine transactions, including: Consolidation under ASC 810, including variable interest entity (VIE) assessments, primary beneficiary determinations, and voting interest model analysis for joint ventures, special purpose entities, and other complex structures Revenue recognition under ASC 606 (multi-element arrangements, usage-based pricing, contract modifications) Lease accounting under ASC 842 (data centers, equipment, build-to-suit arrangements) Construction and capital projects (capitalization, impairment, interest capitalization) Business combinations and investments (purchase accounting, valuation coordination) Debt and equity financing transactions (convertible instruments, warrants, embedded features) Prepare and review technical accounting memos and position papers to support accounting conclusions Support the preparation and review of SEC filings (20-F, 6-K), including footnotes and disclosures Utilize financial reporting tools (e.g., Workiva, Active Disclosure, Toppan Merrill Bridge) to prepare and manage SEC filings and ensure accuracy and efficiency in reporting Partner closely with Legal, FP&A, Tax, and Operations to evaluate accounting implications of contracts and strategic initiatives Monitor and implement new accounting pronouncements and assess their impact on the company Collaborate with external auditors, including leading discussions on technical accounting positions Support SOX compliance and enhance internal controls over financial reporting Drive improvements in financial reporting processes, documentation, and scalability Assist with ad hoc projects related to capital markets activity, M&A, and global expansion We expect you to have: Bachelor’s degree in Accounting or Finance; CPA preferred 7 - 10 years of experience (Big 4 or national public accounting firm required; public company experience strongly preferred) Deep expertise in U.S. GAAP, with strong experience in ASC 606 and ASC 842 Demonstrated experience applying ASC 810 consolidation guidance, including VIE assessments, identification of variable interests, and primary beneficiary analysis Experience with complex transactions such as M&A, financing arrangements, and capital projects Strong experience with SEC reporting and financial statement disclosures Hands-on experience with financial reporting tools such as Workiva, Active Disclosure, or Toppan Merrill Bridge Exceptional technical writing skills, including preparation of accounting memos Ability to operate independently and manage multiple priorities in a fast-paced environment Strong interpersonal skills with the ability to influence cross-functional stakeholders Experience in AI, cloud infrastructure, data centers, or high-growth technology companies It will be an added bonus if you have: Familiarity with large-scale infrastructure or hardware-intensive business models Experience with NetSuite ERP system Exposure to international operations and multi-entity structures Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $139,600 — $174,500 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Seattle, Washington; United States (Remote); New York, New York; San Francisco, California Workplace: Hybrid ROLE SUMMARY We're at an inflection point. We started with core durable execution and are now evolving with the world as it transitions to AI. What it takes to get from where we are today to a world where Temporal underpins all software – including and especially agents – is going to be different. It will require unprecedented speed, iteration, market and customer focus, and invention. As an Agent Connectivity PM, you’ll help the world makes its transition to AI on Temporal. Without any effort, the market has already identified Temporal as a good substrate for agent workloads. But what makes agents powerful is connecting them to services and data. We are in the infancy of building out our connectivity layer, called Nexus, which has been the brainchild of our founder, Maxim, for many years. We now need to realize the full vision of Nexus by continuing to build out foundational capabilities like xyz and importantly, building agent-specific features and integrations, e.g., MCP connector, tool registry. You’ll identify the highest leverage areas for us to invest, and work closely with the founder/CTO and engineering team to get them to market. WHAT YOU’LL DO - Deeply understand problems faced by agent builders and identify opportunities where our products can make building agents faster, more intuitive, more reliable, and more powerful. - Define and build what’s next for Temporal. Own strategy and roadmap for agent connectivity. Turn ambiguous signals into clear product theses. How should we prioritize new capabilities like identity propagation or rate limits? How do we bootstrap an ecosystem of connectors? - Perform up-front discovery and translate customer, field, and open-source community signals into small tweaks, brand new abstractions, or platform bets. - Help engineers and designers deeply understand user needs, empowering them to make great product decisions. - Craft messaging around upcoming features that resonates with users. - Enable sales and marketing teams to effectively communicate with and win customers. - Strong technical depth. Ability to reason about distributed systems, workflow orchestration, service-to-service communication, APIs, SDKs, identity, and authorization. - Developer-platform experience. Experience with infrastructure, platforms, integrations, APIs, SDKs, service mesh, API gateways, or cloud developer products. You’ll build new things with a massive tailwind behind you: a proven technology, a large and growing customer base, and a market moving toward problems Temporal is uniquely equipped to solve. The opportunity is to turn that momentum into what comes next—not simply scale what already works. You’ll be expected to move fast, work across boundaries, and do what it takes to make it happen. WHO YOU ARE - You're ambitious. You want to win big. You don’t need someone else to set the pace. You get impatient when good ideas stay in slide decks, Slack, or meetings. - You're an owner. You are accountable to results over the process. You’re less focused on your swim lane and more focused on making the company successful. You have exceptional product and operational judgement. - You're resilient. Building at a high-growth company in 2026 is not for the faint of heart. You see the challenges and change as not just normal, but actually desirable. - You want to grow, and help others grow. You self-reflect often. You give feedback, and you seek it out. You have shameless curiosity and a propensity to question things deeply. - You prioritize the customer above all else. You want to understand our users' world and prioritize solving their problems above everything else. WHAT YOU’LL BRING - You have 8+ years of product management experience - You have technical depth, with experience working on platform, infrastructure, developer tools, or other technical products - You have worked at a startup, high-growth company or in a similarly intense and ambiguous environment WHAT YOU’LL OWN - Nexus product strategy and roadmap. Prioritize the work that makes Nexus the durable connectivity layer across teams, namespaces, services, and AI systems. - Current execution. Drive completion of in-flight work such as the new Nexus developer experience, Standalone Nexus Operations, connector foundations, caller identity, rate limits, and payload encryption. - Customer discovery and evidence. Stay close to design partners and strategic customers like Netflix, Duolingo, and Miro. - Developer and operator experience. Balance SDK ergonomics, schema-first contracts, codegen, service discovery, security, visibility, and control-plane needs. - Cross-functional launch and enablement. Make sure everyone in the company understands the problems Nexus solves and knows how to sell / deploy / support it. - Success metrics. Define adoption and momentum measures: activated accounts, completed Nexus operations, shared-service usage, SDK coverage, design-partner progress, and field readiness. WHY THIS ROLE MATTERS - Nexus is past GA and entering breadth. Adoption is real, but the next challenge is expansion across more teams, accounts, and use cases. - The foundation is landing now. Developer experience, connector foundations, and operator controls are the near-term unlocks. - The next wave is strategically important. Connector Ecosystem, Service Hub, and Agentic Communication Fabric could define how Temporal participates in the modern AI and service-connectivity stack. - You’ll shape an important product category. Nexus sits between durable execution, service-to-service communication, platform engineering, and AI systems. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. The Senior People Technology Solutions Lead is a senior individual contributor responsible for advancing the technology capabilities that support SIE's global People organization. Grounded in People Technology and enterprise HR systems, this role combines a strong understanding of HR processes, platforms, data, integrations, and employee experiences with expertise in emerging technologies such as generative AI, AI agents, agentic orchestration, APIs, Model Context Protocol (MCP), automation, and AI-assisted development. Reporting to the Senior Director of People Technology Services, this role serves as a technical practice lead for innovation within PTS. The Principal Platform Engineer works across HRIS, integrations, reporting and analytics, service delivery, and other People Technology areas to identify opportunities, establish technical direction, develop use cases, and turn emerging capabilities into practical solutions. Success requires strong partnership across organizational boundaries. The role works closely with People & Places as PTS's key business stakeholder, understanding priorities and identifying opportunities where technology can improve employee experience, service delivery, efficiency, and insight. At the same time, the role connects PTS with the broader IT strategy and enterprise technology capabilities in areas such as AI and agents, service management, low-code development, data, integration, security, and architecture. This is a hands-on senior technical role as well as an influential one. The Principal Platform Engineer operates with a strong bias for action, using Agile and iterative approaches to quickly turn ideas into learning and business value. Depending on the problem, that may mean developing a technical position or white paper, rapidly building a prototype or proof of concept, or incrementally evolving a solution toward production. The emphasis is on testing ideas early, learning from evidence, and continuously refining the approach while helping colleagues across PTS build the skills and confidence to use emerging technologies effectively. Key Responsibilities People Technology Strategy & Innovation Serve as a technical practice lead for emerging technology within PTS, helping establish direction for the practical and responsible adoption of AI, automation, orchestration, application extension, and other new capabilities. Apply broad knowledge of HR technology, HR processes, workforce data, integrations, reporting, security, and service delivery when identifying opportunities and shaping solutions. Translate developments in enterprise technology, vendor roadmaps, and internal capabilities into practical People Technology use cases, technical positions, and actionable recommendations. Identify opportunities across PTS where technology can reduce repetitive operational work, improve quality and employee experience, increase insight, or enable the team to focus greater capacity on higher-value activities. Establish reusable approaches and solution patterns that allow successful ideas to scale across PTS rather than remaining isolated experiments. AI, Automation & Agile Solution Delivery Provide hands-on technical leadership for solutions using generative AI, AI agents, agentic workflows, APIs, MCP, workflow orchestration, automation, Codex, low-code technologies, and other emerging capabilities. Use rapid prototyping and iterative delivery to test assumptions, demonstrate possibilities, gather feedback, and reduce uncertainty before committing to larger investments. Break complex opportunities into smaller, testable increments that can demonstrate value quickly and inform subsequent decisions and development. Lead technical design for complex or cross-platform solutions, evaluating build, buy, extend, integrate, automate, and orchestrate options based on business value, feasibility, architecture, security, user experience, and sustainability. Apply appropriate AI patterns including grounding and retrieval, context management, tool calling, structured outputs, evaluation, guardrails, observability, and human oversight. Lead or contribute directly to prototypes, proofs of concept, and production implementations, remaining sufficiently hands-on to validate ideas and solve difficult technical problems. Use evidence from prototypes, experiments, and delivered capabilities to determine whether to iterate, scale, change direction, or stop. Partnership & Enterprise Collaboration Partner with People & Places leaders and teams to understand priorities, challenges, and opportunities and translate them into potential technology-enabled outcomes. Connect PTS strategy and use cases with the broader IT technology strategy , identifying where enterprise platforms and shared capabilities can accelerate or improve People Technology solutions. Collaborate with teams responsible for capabilities such as enterprise service management and employee-service experiences (e.g., ServiceNow), AI agents and conversational experiences (e.g., Moveworks), low-code development and workflow automation (e.g., Microsoft Power Platform), enterprise AI platforms, data, integration, security, and architecture. Act as a boundary spanner across business and technology organizations, bringing together the appropriate expertise and capabilities to address opportunities that cross organizational or platform boundaries. Represent the particular needs of People Technology, including sensitive workforce data, complex HR processes, employee experience, and regulatory considerations, while promoting reuse of enterprise capabilities and alignment with broader technology standards. Influence, Adoption & Practice Development Establish a clear technical point of view through recommendations, white papers, presentations, prototypes, and well-led discussions that result in decisions and action. Bring structure and direction to complex technology discussions, clearly communicating options and tradeoffs and adapting technical detail to the audience and decision required. Build adoption of new tools and approaches across PTS through demonstrations, coaching, reusable examples, documentation, mentoring, and hands-on collaboration. Mentor team members and increase broader PTS capability in AI, automation, APIs, orchestration, solution design, and modern technology practices. Act as an agent of change, helping colleagues understand why new approaches matter, demonstrating their value through practical application, and supporting adoption as successful capabilities become part of everyday delivery. Ensure solutions meet SIE expectations for architecture, security, privacy, data protection, responsible AI, auditability, human oversight, and production support. Measure success not only through individual delivery, but through adoption, reusable capability, measurable business outcomes, reduced operational effort, and increased capacity for higher-value work. Required Qualifications 10+ years of experience across enterprise technology, application development, automation, HR technology, digital transformation, platform development, or technology consulting, with significant experience delivering complex technology solutions. Demonstrated hands-on experience designing and delivering solutions using generative AI, automation, APIs, integrations, workflow technologies, or modern application-development approaches. Demonstrated experience taking emerging technology from concept or proof of value through iterative development, production implementation, adoption, and ongoing operation. Strong practical understanding of generative AI and agentic architectures, including agents, orchestration, grounding and retrieval, tool use, APIs, evaluation, guardrails, human oversight, and production considerations. Experience leading complex technical initiatives that span systems, teams, or organizational boundaries and influencing outcomes without relying on direct management authority. Demonstrated ability to evaluate technology options, establish a clear point of view, and translate that thinking into recommendations, technical positions, prototypes, designs, or delivered solutions. Working knowledge of enterprise HR technology and HRIS concepts, including workforce data, business processes, integrations, reporting, security, and handling sensitive employee information. Demonstrated experience using Agile and iterative development approaches, including rapid prototyping and experimentation, to reduce uncertainty and progressively deliver business value. Strong communication and facilitation skills, with the ability to explain complex technology to technical, business, and leadership audiences and drive discussions toward decisions and outcomes. Demonstrated ability to mentor others, share expertise, and increase technical capability beyond one's own individual contribution. Preferred Qualifications Experience working in People Technology, HR Technology, or HRIS within a complex global enterprise environment. Experience with enterprise architecture, API ecosystems, cloud services, integration platforms, RAG, vector search, observability, or AI evaluation frameworks. Experience with Workday HCM, Workday integrations, Workday APIs, Workday Orchestrate, Workday Extend, or comparable enterprise HR platforms and extension capabilities. Experience developing AI agents, multi-step agentic workflows, or enterprise orchestration solutions. Experience with Model Context Protocol (MCP) or comparable approaches for securely connecting AI models and agents with enterprise tools and information. Experience with AI-assisted software development and coding agents (e.g., Codex). Experience with enterprise service management and workflow platforms (e.g., ServiceNow). Experience with enterprise AI agent or conversational platforms (e.g., Moveworks). Experience with low-code application development and workflow automation platforms (e.g., Microsoft Power Apps and Power Automate). Experience applying security, privacy, responsible AI, data governance, monitoring, or evaluation controls to enterprise AI and automation solutions. Profile The successful candidate will: Be a boundary-spanning technical leader who connects People Technology priorities with capabilities and expertise across the organization and influences outcomes through credibility rather than formal authority. Maintain a strong bias for action and learning , using rapid experimentation and iterative delivery to create momentum and learn from evidence while applying appropriate rigor based on risk and complexity. Remain hands-on , moving comfortably between technical strategy and practical execution, including prototypes, solution design, architecture, and difficult technical problems. Build a practice, not a dependency , increasing the ability of others to identify opportunities and use emerging technologies rather than becoming the person who must personally own every innovative solution. Turn knowledge into influence and action through clear recommendations, white papers, presentations, prototypes, experimentation, and disciplined discussions that lead to decisions and delivery. Be technology curious, but not technology led , embracing AI, agents, Codex, MCP, APIs, orchestration, low-code platforms, and emerging technologies while beginning with the problem and desired outcome. Understand People Technology , recognizing the intersection of complex HR processes, sensitive workforce data, employee experience, integrations, controls, and global requirements. Be a multiplier , with impact demonstrated through both personal delivery and increased capability, productivity, innovation, and insight across PTS. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $169,400 — $254,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Нужен специалист, который уверенно работает с UE5 C++, понимает архитектуру gameplay-систем и умеет писать решения, которые можно поддерживать, расширять и переиспользовать. • Опыт участия в коммерческих игровых проектах на Unreal Engine 5;

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 Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to work on the web access infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on making our access to public web content reliable and efficient. You will investigate how modern websites and browsers communicate across the full request lifecycle, find the root cause when a request fails or returns something unexpected, and build the fixes into production systems operating at internet scale. Your work ensures that high-quality content is consistently available to the crawling, indexing and retrieval systems downstream. In this position, your responsibility will be to Diagnose failed or degraded requests at the right layer: network and IP, TLS and HTTP/2 behavior, headers and session state, client-side scripts, or browser characteristics Analyze how websites verify and classify clients, including how client-side scripts and protocol-level behavior shape what a site serves to different clients Build clients and tooling that behave consistently and compatibly with standard browsers across all of these layers, using a real browser where a lightweight client is not enough Monitor access quality as websites change: detect regressions, find the cause, and measure success on real content rather than on status codes Build the tooling to do this at scale: traffic capture and comparison against real browsers, per-site and per-method success tracking, and the cost of each successful fetch Choose the fetch method for each host, from a lightweight HTTP client to a full browser, balancing quality against cost You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. The request lifecycle HTTP/1.1, HTTP/2 and HTTP/3, TLS handshakes and TLS fingerprints (JA3/JA4), and header behavior What a server can observe at each step of a request, and what a client controls at each step A debugging method, not guesses: replaying captured browser traffic, comparing against a real browser on the same network path, and changing one variable at a time Client-side analysis Reading and analyzing complex or obfuscated JavaScript, and observing what a script measures by hooking browser APIs How browser, device and network characteristics are measured (canvas, fonts, WebGL, screen and window metrics) and how consistent they are across layers Browser instrumentation and the Chrome DevTools Protocol, used as tools for investigation Running it for real Have run this in production and can give numbers: requests per day, sites or hosts, and the success rate and how you measured it Strong programming in at least one of Go, Python, Rust or C++ Strong candidates may also have experience with Working at a web data provider, a browser or web-security company, or a company that collects data from complex sources Contributions to browser networking or fingerprinting-related open-source tooling, or public write-ups of how client verification works Building or maintaining a patched browser Networks, proxies and IP reputation Internet-scale distributed systems, Kubernetes and cloud infrastructure The kind of problems you will work on A site returns a different response to our client than to Chrome on the same network path. Find out why, and fix that cause. A site changes how it verifies clients and success drops across a group of sites. Find what changed, adapt, and make the next change cheaper to catch. Switching to a browser-like network profile makes results worse on some hosts. Work out what no longer matches. We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands; Israel; 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 Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to work on the web access infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on making our access to public web content reliable and efficient. You will investigate how modern websites and browsers communicate across the full request lifecycle, find the root cause when a request fails or returns something unexpected, and build the fixes into production systems operating at internet scale. Your work ensures that high-quality content is consistently available to the crawling, indexing and retrieval systems downstream. In this position, your responsibility will be to Diagnose failed or degraded requests at the right layer: network and IP, TLS and HTTP/2 behavior, headers and session state, client-side scripts, or browser characteristics Analyze how websites verify and classify clients, including how client-side scripts and protocol-level behavior shape what a site serves to different clients Build clients and tooling that behave consistently and compatibly with standard browsers across all of these layers, using a real browser where a lightweight client is not enough Monitor access quality as websites change: detect regressions, find the cause, and measure success on real content rather than on status codes Build the tooling to do this at scale: traffic capture and comparison against real browsers, per-site and per-method success tracking, and the cost of each successful fetch Choose the fetch method for each host, from a lightweight HTTP client to a full browser, balancing quality against cost You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. The request lifecycle HTTP/1.1, HTTP/2 and HTTP/3, TLS handshakes and TLS fingerprints (JA3/JA4), and header behavior What a server can observe at each step of a request, and what a client controls at each step A debugging method, not guesses: replaying captured browser traffic, comparing against a real browser on the same network path, and changing one variable at a time Client-side analysis Reading and analyzing complex or obfuscated JavaScript, and observing what a script measures by hooking browser APIs How browser, device and network characteristics are measured (canvas, fonts, WebGL, screen and window metrics) and how consistent they are across layers Browser instrumentation and the Chrome DevTools Protocol, used as tools for investigation Running it for real Have run this in production and can give numbers: requests per day, sites or hosts, and the success rate and how you measured it Strong programming in at least one of Go, Python, Rust or C++ Strong candidates may also have experience with Working at a web data provider, a browser or web-security company, or a company that collects data from complex sources Contributions to browser networking or fingerprinting-related open-source tooling, or public write-ups of how client verification works Building or maintaining a patched browser Networks, proxies and IP reputation Internet-scale distributed systems, Kubernetes and cloud infrastructure The kind of problems you will work on A site returns a different response to our client than to Chrome on the same network path. Find out why, and fix that cause. A site changes how it verifies clients and success drops across a group of sites. Find what changed, adapt, and make the next change cheaper to catch. Switching to a browser-like network profile makes results worse on some hosts. Work out what no longer matches. We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. 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 Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. 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 Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. 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 Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems. In this position, your responsibility will be to: Design, implement, and operate web-scale crawling systems for acquiring content from the internet Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies Build systems for URL discovery, deduplication, content extraction, and crawl orchestration Ensure reliable operation of crawling infrastructure under high-throughput conditions Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality Monitor resource usage, bandwidth consumption, and infrastructure cost Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements Enable safe experimentation with crawling strategies and content acquisition policies You may be a good fit if you: 8+ years of experience building backend or distributed systems Strong Go or C++ expertise Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines) Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. 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 Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems. In this position, your responsibility will be to: Design, implement, and operate web-scale crawling systems for acquiring content from the internet Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies Build systems for URL discovery, deduplication, content extraction, and crawl orchestration Ensure reliable operation of crawling infrastructure under high-throughput conditions Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality Monitor resource usage, bandwidth consumption, and infrastructure cost Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements Enable safe experimentation with crawling strategies and content acquisition policies You may be a good fit if you: 8+ years of experience building backend or distributed systems Strong Go or C++ expertise Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines) Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems. In this position, your responsibility will be to: Design, implement, and operate web-scale crawling systems for acquiring content from the internet Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies Build systems for URL discovery, deduplication, content extraction, and crawl orchestration Ensure reliable operation of crawling infrastructure under high-throughput conditions Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality Monitor resource usage, bandwidth consumption, and infrastructure cost Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements Enable safe experimentation with crawling strategies and content acquisition policies You may be a good fit if you: 8+ years of experience building backend or distributed systems Strong Go or C++ expertise Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines) Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. 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 - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for an experienced Transportation Logistics Specialist to manage the full scope of IT hardware logistics across Europe and beyond — including racks, servers, and other data center equipment. The role covers domestic European transport between our warehouses and data center sites, inbound international freight from suppliers in Taiwan and other origins into Europe, outbound shipments from Europe as required, and logistics to and from Israel. You will also be responsible for RMA/RMS shipments and ensuring smooth, timely delivery of hardware across all lanes. This is a hands- on, operationally focused role requiring strong attention to detail, excellent vendor management skills, and the ability to work cross-functionally in a fast-paced, global environment. Key Responsibilities Logistics Operations • Manage end-to-end transport of IT hardware — rack systems, servers, and other data center equipment — across all lanes: domestic European moves, inbound international shipments (primarily from Taiwan-based suppliers), outbound from Europe as required, and shipments to and from Israel. • Coordinate inbound freight scheduling for both domestic and international shipments, including air freight from Taiwan and other origins, managing carrier and freight forwarder selection and delivery execution to ensure on-time, damage-free arrival at European sites. • Handle all RMA and RMS shipments, including coordination with vendors, carriers, and internal teams to ensure accurate and timely processing. • Manage equipment transfers between company warehouses and data center facilities across Europe, optimising routes and minimising handling risk. • Maintain full visibility over active shipments across all lanes and proactively resolve transit issues, delays, or exceptions. • Develop contingency plans and alternative routing strategies to ensure business continuity. • Manage time-critical air freight shipments where required, including carrier selection, booking, and end-to-end tracking to ensure expedited delivery of hardware. Coordination & Documentation • Coordinate closely with data center operations teams to support staging, buffering, and just-in- time hardware deployment. • Maintain accurate in-transit inventory records and ensure proper chain-of-custody documentation for all shipments. • Manage all shipment-related documentation in relevant systems (Jira, TMS, or equivalent), ensuring records are complete, accurate, and audit-ready. • Manage customs documentation and clearance processes for all cross-border shipments, including inbound from Taiwan, transfers within Europe, and shipments to and from Israel. • Process and reconcile logistics invoices; manage payments for transportation operations, including ZIP payments to the appropriate vendors and partners. • Work with the security team to establish and maintain secure shipment protocols and ensure compliance with physical security requirements. Compliance & Quality • Ensure all shipments comply with applicable regulations — including EU transport and customs requirements for domestic European moves, EU import/export regulations for international freight, and relevant cross-border trade compliance requirements for shipments involving Israel. • Manage VAT, duties, and customs declarations for inbound and outbound international shipments in line with EU regulations. • Maintain audit-ready documentation for all logistics activities, supporting internal (SOX) and external compliance requirements. • Establish and enforce SLAs and KPIs with freight carriers, forwarders, and 3PL partners; drive accountability through regular performance reviews. • Identify and escalate compliance gaps or process deviations, implementing corrective actions as needed. Cross-Functional Collaboration • Partner with hardware engineering, procurement, finance, and data center operations to align logistics execution with deployment timelines and business priorities. • Collaborate with OEM suppliers (e.g., Giga, ASUS), primarily based in Taiwan, to coordinate international shipping windows, batch tracking, customs documentation, and inbound scheduling into European facilities. • Coordinate with teams and partners in Israel to manage inbound and outbound shipments, ensuring compliance with applicable import/export requirements. • Act as the primary escalation point for European transport-related issues across internal teams and external partners. • Drive continuous improvement initiatives through KPI tracking, root cause analysis, and process standardisation. Planning & Cost Management • Forecast transportation demand based on data center expansion plans, hardware deployment schedules, and capacity needs across European and international lanes. • Identify cost optimisation opportunities through carrier consolidation, routing improvements, and smarter scheduling. • Track and report on logistics costs across all lanes, flagging variances and recommending corrective actions. • Support data-driven decision-making through regular reporting, dashboards, and operational analytics. Requirements • 5+ years of experience in transportation, freight, or logistics management — ideally within technology, data center, or hardware supply chain environments. • Proven experience managing both domestic European and international freight operations, including LTL/FTL, and air freight shipments, carrier and forwarder relationships, and 3PL coordination. • Solid understanding of EU customs regulations, import/export procedures, and cross-border trade compliance within Europe and with non-EU countries. • Experience managing shipments to or from Israel is an advantage; familiarity with relevant customs and trade compliance requirements is a plus. • Hands-on experience with RMA/RMS shipment processes and reverse logistics flows. • Familiarity with TMS platforms, Jira, or similar systems used for shipment tracking and documentation. • Experience managing large, heavy, or high-value freight (server racks, IT infrastructure equipment) is strongly preferred. • Excellent organisational and documentation skills with a high standard for accuracy and completeness. • Strong communication and stakeholder management skills; ability to work cross-functionally across technical and non-technical teams in an international environment. • Self-starter mindset with the ability to operate independently in a remote environment. • Based in Europe; Amsterdam preferred, other EU locations considered. Must be eligible to work in the EU. • Fluency in English required; additional European languages are an advantage. Nice to Have • Experience in a hyperscaler, cloud provider, or large-scale data center build-out environment. • Experience with Asia-Pacific supply chains, particularly Taiwan-to-Europe freight lanes, including familiarity with customs brokerage, import duties, and trade compliance. • Background in supply chain analytics, reporting, or continuous improvement methodologies. • Familiarity with physical security protocols for high-value hardware shipments. • Experience working in or with logistics operations in the Netherlands, Germany, or other major 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 - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Europe 3PL operations manager Position Overview The European 3PL Manager owns Nebius's network of external warehouses and the performance of the 3PL partners who run them. The role ensures that high-value data center hardware stored and handled by third parties is received, stored, picked and shipped to the same standard as in Nebius-operated sites. The manager controls 3PL operations through SLAs, KPIs, audits and system data, coordinates daily flows between 3PLs and internal teams (Transport, Planning, Back Office, ITDC, Security), and drives cost, compliance and continuous improvement across all external locations. Key Responsibilities 3PL Network & Partner Management Manage the portfolio of external warehouses and 3PL partners across EMEA/US/APAC. Own contracts, SLAs and rate cards together with Procurement and Legal; prepare renewals and renegotiations. Run monthly operational reviews and quarterly business reviews (QBRs) with each 3PL; agree and track improvement plans. Act as the primary escalation point for 3PL partners and for internal teams on 3PL-related issues. Operations Control Set and enforce operating standards for 3PLs: receiving, put-away, storage, picking, packing, dispatch and returns (RMA). Ensure 3PLs follow Nebius SOPs for handling heavy, fragile, high-value equipment (racks, GPU servers, HSM devices). Monitor daily operational performance through WMS data, reports and site visits; act on deviations. Lead root-cause analysis of incidents (damage, loss, mis-shipments, delays) and follow corrective and preventive actions to closure. Inventory Control & Audits Ensure inventory accuracy at external sites: cycle counts, annual stock takes and reconciliation with ERP/WMS. Organise periodic on-site audits and inspections of 3PL warehouses (process, security, safety, documentation). Coordinate with Back Office on stock discrepancies, adjustments and asset records. Support internal and external (SOX) audits for inventory held by third parties. Coordination with Internal Teams Align inbound and outbound volumes with Logistics Planning and Transport so 3PLs have capacity and labour in time. Coordinate with ITDC and Project Managers on staging, kitting and release of hardware to data center sites. Work with Security on access control, CCTV, pre-arrival information and secure-storage requirements at 3PL sites. Ensure accurate and timely data exchange between 3PL systems and Nebius ERP/WMS (integrations, ASNs, stock reports). Cost Management Own the 3PL budget: storage, handling, value-added services and accessorial charges. Validate 3PL invoices against contracts and actual activity together with Back Office; resolve disputes. Track cost per pallet / rack / movement and identify savings through consolidation, space optimisation and renegotiation. Network Development: Onboarding & Exit Assess needs for new external storage based on DC expansion plans and capacity forecasts. Lead 3PL selection (RFI/RFQ, site assessment) with Procurement and onboard new partners: SOPs, system setup, training, go-live. Manage 3PL exits and stock transfers with zero loss and full traceability. Compliance & Risk Ensure 3PL operations meet security, safety, insurance and customs requirements (e.g. bonded storage where applicable). Maintain audit-ready documentation on contracts, SLAs, audits and incidents. Identify operational and dependency risks in the 3PL network and maintain contingency plans. Team Leadership Lead 3PL / External Warehouse Specialists as the function scales; set priorities, onboard and develop them. Define workflows, responsibilities and escalation paths between the 3PL team, Warehouse Operations and Transport. Key Performance Indicators (KPIs) KPI Definition SLA compliance % of 3PL SLA targets met (dock-to-stock, order cycle time, on-time dispatch) Inventory accuracy % match between 3PL physical stock and Nebius ERP/WMS Incident rate Damage, loss and mis-shipment cases per 1,000 movements CAPA closure % of corrective actions closed by due date Audit results Score / findings from 3PL on-site audits and SOX tests Cost per unit 3PL cost per pallet / rack / movement vs. budget Invoice accuracy % of 3PL invoices matching contract and activity without dispute Expectations Autonomy: Full ownership of the 3PL network and partner performance; escalates contract, budget and major-risk decisions. Impact: Directly affects hardware availability, inventory accuracy and warehousing cost across all external sites. Leadership: Leads 3PL specialists and steers partner teams without direct authority. Travel: Regular trips to 3PL sites for audits, reviews and onboarding. Work Mode: Hybrid, with regular presence at key logistics sites. 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.