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Location: Remote; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in New York, San Francisco, and Seattle. We are looking for a Prototype Researcher to join Runway Labs — our research and exploration team pushing the frontier of AI video and General World Models. You’ll imagine, design, and build experimental experiences that make emerging AI capabilities tangible and communicate a compelling vision for where the technology is heading. This role combines creative thinking, hands-on prototyping, and storytelling. You should be able to develop an original idea, build a working prototype, and shape it into a clear, memorable demonstration. Your work will help people understand new AI systems through experiences they can see, use, and engage with. Working closely with researchers, engineers, and designers, you’ll explore new interfaces and interaction paradigms for AI-generated video, world models, and agentic systems. The focus is on research explorations that express our vision, reveal new possibilities, and strengthen Runway’s position as a full-stack research organization. We’re looking for a motivated self-starter with strong creative judgment, technical fluency, and a portfolio that shows both what you can build and how well you can communicate an idea. WHAT YOU’LL DO - Develop original concepts that explore the possibilities of emerging AI systems, from interactive video and world models to agentic experiences. - Design and build working prototypes that turn research capabilities into engaging, understandable experiences. - Shape each project’s story: what it explores, why it matters, and what it suggests about the future. - Package explorations into polished demos, films, and interactive experiences that communicate our research and vision. - Collaborate with researchers and engineers to understand new capabilities and identify compelling ways to demonstrate them. - Move quickly through experimentation, using prototypes to test ideas and refine both the experience and its narrative. WHAT YOU’LL NEED - A portfolio of original projects that demonstrates creative thinking, design craft, technical execution, and strong storytelling. - The ability to take an idea from an early concept to a working prototype and a compelling presentation. - Hands-on experience building interactive experiences with code, with the judgment to choose the right tools for each experiment. - Strong visual and interaction design skills, with an eye for detail and an instinct for making complex ideas accessible. - Genuine curiosity about AI video, world models, agentic systems, and emerging generative media. - Comfort working in ambiguous research environments, defining your own direction, and learning new tools as the work evolves. - The ability to explain the purpose and potential of your work clearly, through writing, visuals, demos, or film. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. We’re looking for a Senior Product Manager to join our team and help shape the future of business messaging and AI-powered customer engagement. This is a career-defining opportunity to lead a world-class team of engineers, designers, and researchers to deliver products that touch millions of people every day. What will I be doing? Be responsible for a significant product area or leading an important project. Deeply understand the customer problems you’re tackling through research, data, and direct customer interactions — then frame those problems clearly for your team. Manage the roadmap; defining what should be built, when and why - and communicate it to generate alignment and excitement. Collaborate with engineers and designers to imagine, build, and ship solutions, from bold future visions to small, focused iterations. Leverage AI to increase your own efficiency, accelerate product development, and multiply your team’s impact. Evaluate impact through quantitative and qualitative measures, both in beta and after full release. Own and maintain the quality of your product area, ensuring every release delivers world-class software. Collaborate with peers across the business to ensure we deliver products with clear GTM strategy and execution, getting hands on wherever necessary to ensure we deliver. Be a leader in your team or projects by role-modelling our company values and R&D principles. What skills do I need? There is no minimum years of experience for this role. We’re interested in your impact, drive, and potential. Instead of years, we’ll be looking for evidence that you’ve applied and grown these skills: Sharp Customer Focus & Problem Framing - able to independently understand, define and articulate complex customer problems and opportunities using data analysis and qualitative inputs. Compelling Roadmaps - define the roadmap of features, products or areas of focus for your given area, communicating what, when and why to generate excitement with customers and the team Excellent Product Judgment - skilled at balancing customer needs, business impact, and technical constraints to define, advocate for, and deliver the right product. Build World-Class Product - able to deeply collaborate with engineering and designers to quickly ship effective solutions. But, also able to independently accelerate the process leveraging AI. AI Tech - Able to understand AI systems and LLMs, assess feasibility and trade-offs, and make informed product decisions in close collaboration with engineering. Technical fluency - Comfortable engaging with engineers and customers on the modern tech stack — from APIs and SaaS infrastructure to low-code tooling and system architecture. Outcome Oriented - define, fight for and share progress against the customer and business impact of your product area or project. Leadership - Excellent communicator. High ownership. Ability to influence and drive alignment. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Senior Payroll Specialist owns end-to-end Dutch payroll, operated in Nmbrs, and acts as the designated backup for the company’s other international payrolls. This role harmonizes, simplifies, and continuously improves payroll execution and payroll accounting across the company’s Dutch entities, pay groups, providers, and systems. This is to make sure payroll remains accurate, compliant, trusted, and understandable as the company grows without a proportional increase in manual work or risk. As international backup, the role maintains working proficiency in the company’s other country payrolls and provides continuity during peak periods, absences, and year-end. Your responsibilities will include: Own end-to-end Dutch payroll execution in Nmbrs across entities and pay groups: monthly and off-cycle runs, holiday allowance, year-end close and annual statements (jaaropgaven), and the payroll calendar; define consistent execution standards that meet Dutch statutory and contractual requirements. Ensure Dutch payroll tax and social security compliance: wage tax and national insurance contributions (loonheffingen), employee insurance and Zvw premiums, the work-related costs scheme (WKR), timely and accurate loonaangifte to the Belastingdienst, corrections, and resolution of Belastingdienst and UWV correspondence. Administer regulated and complex pay items accurately: the 30% ruling and other expatriate and cross-border arrangements, equity income (RSU/option) taxation, pension contributions and provider files, sick leave and statutory leave schemes, transition payments and termination settlements, wage garnishments (loonbeslag), and taxable benefits-in-kind. Run and reconcile shadow payrolls in Nmbrs for internationally mobile employees (inbound assignees, cross-border and remote workers, and outbound Dutch employees with a host-country shadow payroll) Serve as the designated backup for the company’s other international payrolls: maintain working knowledge of country calendars, providers, and controls, and run or support pay cycles during absences, peak periods, and year-end in coordination with the payroll owners. Lead root-cause analysis for recurring payroll, accounting, or service failures; design and implement durable fixes. Drive process harmonization and simplification to reduce manual steps, handoffs, rework, and off-cycle runs; make full use of Nmbrs functionality, integrations, and reporting. Lead payroll execution during transitions (new entity launches, provider or system changes, restructures/M&A), ensuring continuity and control. Ensure payroll accounting remains clean as scope changes: consistent journals, accruals, reversals, and reconciliation standards. Monitor preventative controls by design, including SOX-aligned payroll controls; improve evidence pack quality and audit readiness. Act as escalation owner for complex or sensitive pay issues; provide authoritative explanations to employees and senior stakeholders. Partner with HR Ops, Finance, Legal/Compliance, Nmbrs, and international payroll providers to deliver scalable operating models and service quality. We expect you to have: At least 7+ years of Dutch payroll experience, including multi-entity scope in complex environments (growth, change, or hybrid in-house/outsourced models). Hands-on Nmbrs experience is prefer: running payroll end to end, configuring wage components and journal mappings, managing loonaangifte and corrections, and using its reporting and integrations (HRIS, GL, pension and benefits providers). Deep working knowledge of Dutch payroll compliance: loonheffingen and social security, WKR, the 30% ruling, expatriate taxation and shadow payroll, pension administration, sick leave and statutory leave, termination settlements, and year-end reporting. Working knowledge of international payroll (running or overseeing outsourced country payrolls) and readiness to act as the designated backup for the company’s other payrolls. Strong payroll controllership skills: ability to design controls, enforce SoD/approvals, and ensure audit-ready evidence. Proven capability improving payroll processes (standardization, automation enablement, reducing manual effort and errors) and leading transitions (vendor/system/new entity) with structured planning and issue resolution. Strong payroll accounting knowledge and experience working with Finance during close and audits. Excellent stakeholder management; comfortable acting as an escalation owner and payroll authority. Fluent English and professional working proficiency in Dutch (statutory correspondence, legislation, and provider documentation are in Dutch). It will be an added bonus if you have: Dutch payroll qualification (PDL and/or VPS) and/or Nmbrs certification. Experience with international payroll providers or aggregators and multi-country operating models (SLAs, KPIs, remediation). Experience operating payroll controls in a SOX-compliant, US-listed company environment. Experience with equity compensation payroll (RSUs/options), including cross-border cases and trailing tax liabilities. Experience supporting Global Mobility programs: shadow payroll set-up, tax equalization/protection and hypothetical tax, gross-ups, and year-end assignee reconciliations with tax advisors. Experience turning statutory/operational requirements into system/workflow requirements (e.g., Nmbrs–HRIS–GL integrations). Project management certification or comparable experience leading cross-functional initiatives. Competencies & Behavioral Traits: Systems thinking: redesigns the process so it scales, rather than adding checks and manual work. Bias for prevention: anticipates issues and builds guardrails. Influence without authority; can align multiple stakeholders around standards. Comfort with ambiguity and change; makes decisions with incomplete information. Reliability and ownership: a dependable backup who keeps continuity across payrolls when it matters most. Strong coaching mindset; elevates capability across the payroll team. #LI-DY1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. Backblaze is seeking a Senior Technical Program Manager. Role Overview: We are seeking a Senior Technical Program Manager to join a growing Security team, with a focus on program delivery, driving portfolio management and operating model practices for Backblaze. Key Responsibilities: Lead end-to-end planning and execution of enterprise programs from initiation through delivery Communicate technical concepts and program status clearly to both technical teams and non-technical stakeholders Develop and maintain detailed program plans, timelines, budgets, and resource allocation across multiple concurrent initiatives Identify, track, and mitigate program risks and dependencies, escalating blockers to leadership with clear options and recommendations Drive cross-functional coordination between engineering, product, legal, and third-party vendors to ensure security controls are implemented on schedule Establish and report on program goals, dashboards, and status updates for executive and board-level audiences Support incident response coordination, including post-incident reviews and follow-up action tracking Foster a culture of transparency and trust, apply lean value-driven approach, manage by influence, support and empower technical teams through servant leadership In partnership with other TPMs, participate in implementation of continuous cross-functional process improvement initiatives Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience); Master's degree a plus 8+ years of technical program management experience Strong understanding of program management methodologies. Ability to adapt agile management principles to a variety of development environments ScrumMaster certification a plus Proven ability to manage multiple complex, cross-functional programs simultaneously in a fast-paced environment Excellent written and verbal communication skills, with the ability to translate technical risk into business impact for executive audiences Strong analytical and risk-assessment skills, with experience using program management and ticketing tools Demonstrated ability to build trust and influence without direct authority across engineering, legal, and executive teams High attention to detail, sound judgment under pressure, and comfort operating with ambiguity during active incidents Experience with Atlassian & Google product suites a plus Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work, plus a generous stipend to personalize your workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. To provide greater transparency to candidates, we share base pay ranges for all US- based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The expected salary range for this role is $130,000 - $150,000. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio- economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice

Local Express is an e-commerce platform that helps supermarkets, grocers, and multi-location food retailers scale faster with AI. Languages: excellent verbal and written English skills. Work format: Hybrid in Armenia. Working hours: 04:00 PM–01:00 AM (GMT+4).

Location: Remote - Ireland Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Technical Support Engineer 2 Ireland on Twilio’s Voice, Platform Application & Segment teams (VSPA). About the job This position is needed to support our customers’ use of the Twilio platform, and help customers get the best experience from Twilio’s products. You will function as the voice of Twilio to our customers and partners, and operate as a subject matter expert for Twilio’s APIs and SDKs. This position also includes rostering. Rosters will be of a 5 day work week, and could include one or both weekend days. Responsibilities In this role, you’ll: Use your strong technical and diplomatic skills to address customer issues and provide customer feedback to Twilio’s Product and Engineering teams. Work with our customers' and partners' developers, architects, and support personnel to resolve complex problems with potentially very costly and far-reaching consequences. Leverage your experience with troubleshooting and resolving Quality of Service (QoS) issues. Collaborate with your teammates and the Twilio Product and Engineering teams via Slack as well as filing JIRAs to report reproducible bugs. Review internal knowledge to stay current on industry shifts and standards. Assist your manager in process improvements by surfacing customer pain points to assist in process improvement. This position will also require supporting our customers on holidays to ensure that our customer’s needs are met. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 2+ years of Technical Support Experience or similar relevant experience. Full-Stack Javascript Tech Support experience with capabilities to troubleshoot server-side code (bonus would be either of: Node.js, C# or Java or python) and client-side code (JavaScript). React.js is a bonus. A good understanding of Object-Oriented Programming (OOP) concepts. Basic understanding of SQL and query-writing skills. Good understanding of APIs, HTTP Protocol, and RESTful services. Skills in troubleshooting network connectivity issues, with an understanding of TCP/UDP, and basics of SSL/TLS. Experience troubleshooting SIP, VoIP, and IP telephony issues. High competency in communicating complex technical issues to both technical and non-technical audiences via phone or email mediums. Ability to stand in the customer’s shoes and demonstrate dedication to the customer experience. Excellent written and verbal communication skills. Desired: Bonus skills: - Serverless (Lambda) experience. - Expertise with both native and mobile applications is a great bonus. - Having related experience in troubleshooting contact center products. - Good knowledge of RESTful technology, previous work with APIs and ability to understand and troubleshoot issues with cloud solutions. Understanding of WebRTC is a plus. Experience working collaboratively with team members in different geographic locations and time zones. Advanced time management skills, ability to work well under pressure, and proficiency at developing workflows to increase troubleshooting efficiency while still following standard processes and procedures. Ability to influence and build effective working relationships with all levels of the organization. Interest in utilizing customer feedback to identify and drive improvements in our products. Location This role will be remote, and based in Ireland. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Berlin, Germany About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

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 building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale. In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy. We are looking for a Senior Sales Engineer to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions. You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing: Revenue quality Engineering focus Product evolution Customer trust at scale You’re welcome to work remotely from Europe. Your responsibilities will include: Strategic Technical Discovery Lead deep technical discovery with engineering teams and technical founders Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies Translate customer ambition into production-feasible architectures Identify hidden technical risks early Commercial Acceleration Partner tightly with Sales on strategic deals Influence deal strategy through architectural clarity Prevent misaligned commitments before engineering allocation Increase PoC-to-production conversion by ensuring technical realism PoC Architecture & Validation Define measurable success criteria (latency, TTFT, throughput, cost envelope) Classify workload complexity and required optimization depth Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.) Drive structured Go / No-Go decisions Prevent uncontrolled customization or hidden R&D Pattern Recognition & Platform Leverage Identify recurring configuration patterns across customers Quantify demand for advanced optimizations (quantization, speculative decoding, etc.) Surface structured insights to Product and Engineering Help evolve platform capabilities based on real workload data We expect you to have: Deep understanding of AI inference systems and GPU-backed infrastructure Experience with LLM workloads and performance-sensitive environments Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM). Ability to reason about latency, throughput, cost, and architecture tradeoffs Strong customer presence with engineering-first organizations Comfort challenging assumptions and pushing back constructively Commercial awareness – you understand that engineering time is a strategic resource Preferred technical stack : Programming Languages– Python Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent API and Web Frameworks– FastAPI, Flask MLOps and DevOps tools– Kubernetes (K8s), Docker, Git Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) What success looks like : Strategic deals are technically sound before engineering engagement PoCs are clearly scoped and economically justified Engineering capacity is allocated predictably Conversion to production improves Customers view you as a trusted architectural advisor Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced Threat Hunting Team Lead to join the Cyber Security organization, reporting to the Head of Proactive Security under the CISO. This role is responsible for leading the organization's proactive threat hunting program across Nebius's corporate IT environment, cloud platforms, and data center infrastructure. You will lead a team of threat hunters focused on identifying advanced threats, uncovering adversary activity before it becomes an incident, and continuously improving the organization's detection capabilities. The ideal candidate combines strong technical expertise with an attacker mindset and a passion for proactive defense. You will work closely with SOC, Incident Response, Threat Intelligence, Detection Engineering, and Security Engineering teams to identify emerging threats, develop hunting methodologies, and strengthen Nebius's overall cyber resilience. Your responsibilities will include: Lead and manage the Threat Hunting team, including mentoring, prioritization, and professional development. Define and execute the organization's proactive threat hunting strategy across corporate IT, cloud environments, and data center infrastructure. Lead hypothesis-driven threat hunting activities to identify advanced threats, persistence mechanisms, and malicious activity not detected by existing security controls. Develop and continuously improve threat hunting methodologies, playbooks, and operational procedures. Leverage threat intelligence, adversary TTPs, and MITRE ATT&CK to drive hunting campaigns and prioritize hunting efforts. Hunt across endpoint, identity, network, cloud, and application telemetry to identify suspicious behavior and indicators of compromise. Collaborate with SOC and Incident Response teams to validate findings, support investigations, and improve incident response capabilities. Partner with Detection Engineering to convert successful hunts into automated detections and improve security monitoring coverage. Work closely with Security Engineering and Infrastructure teams to identify security gaps and recommend improvements. Produce technical reports, executive summaries, and threat assessments for leadership and key stakeholders. Define KPIs and measure the effectiveness and maturity of the organization's threat hunting program. Stay current on emerging threat actors, attack techniques, AI-driven threats, and industry best practices, incorporating new knowledge into hunting operations. We expect you to have: 6+ years of experience in cyber security, with a strong focus on threat hunting, incident response, detection engineering, or SOC operations. 2+ years of experience leading technical security teams. Strong understanding of attacker methodologies, post-exploitation techniques, and modern cyber threats. Hands-on experience conducting hypothesis-driven threat hunting across endpoint, network, identity, and cloud environments. Deep knowledge of MITRE ATT&CK and adversary tactics, techniques, and procedures (TTPs). Experience working with EDR/XDR, SIEM, cloud security platforms, and threat intelligence sources. Experience investigating advanced persistent threats (APTs), ransomware, insider threats, and cloud-based attacks. Strong scripting or query skills (e.g., KQL, SPL, SQL, Python, PowerShell) for threat hunting and analysis. Strong analytical, investigative, and problem-solving skills. Excellent written and verbal communication skills in Hebrew and English. It will be an added bonus if you have: Experience hunting across AWS, GCP, or Azure cloud environments. Familiarity with large-scale enterprise, cloud-native, or AI infrastructure environments. Experience developing detection rules and behavioral analytics. Knowledge of malware analysis, digital forensics, or reverse engineering concepts. Experience with threat intelligence platforms and threat hunting frameworks. Relevant certifications such as GCFA, GCTI, GREM, GCIA, CISSP, or equivalent. BSc in Computer Science, Information Security, or a related field. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced Fraud Team Lead to join the Cyber Security organization, reporting to the Head of Detection & Response under the CISO. This role is responsible for leading the organization's Fraud & Insider Threat function, protecting Nebius, its employees, executives, customers, and brand from fraud-driven attacks and insider risks. You will lead a team responsible for identifying, investigating, and responding to fraud campaigns targeting the organization, including Business Email Compromise (BEC), executive impersonation, phishing, social media fraud, account takeovers, financial fraud, and insider threats. The role requires close collaboration with SOC, Threat Intelligence, IT, HR, Legal, Communications, and business stakeholders to proactively reduce fraud risk and strengthen organizational resilience. Your responsibilities will include: Lead and manage the Fraud & Insider Threat team, including mentoring, prioritization, and professional development. Define and execute the organization's fraud prevention and insider threat strategy, processes, and operational playbooks. Oversee investigations involving Business Email Compromise (BEC), executive impersonation, phishing campaigns, social engineering, financial fraud, and insider threat activities. Lead monitoring and response efforts for fraud targeting executives, employees, customers, and the Nebius brand. Investigate fraudulent domains, social media impersonation, fake websites, fraudulent mobile applications, and other brand abuse activities. Coordinate takedown efforts with external providers, registrars, social media platforms, and law enforcement when required. Develop fraud detection capabilities by leveraging threat intelligence, telemetry, and fraud monitoring tools. Collaborate with SOC and Threat Intelligence teams to identify emerging fraud campaigns and evolving attacker techniques. Partner with HR, Legal, Finance, Communications, and IT teams to investigate insider threats and fraud incidents while ensuring appropriate handling and confidentiality. Produce intelligence reports, risk assessments, and executive briefings on fraud trends, insider threats, and organizational exposure. Define KPIs and continuously improve fraud detection, investigation, and response processes. Drive awareness programs to educate employees and executives on phishing, social engineering, executive fraud, and insider threat risks. We expect you to have: 5+ years of experience in cyber security, fraud investigations, digital investigations, cyber intelligence, or incident response. 2+ years of experience leading technical or investigative teams. Strong understanding of Business Email Compromise (BEC), phishing, executive impersonation, social engineering, and financial fraud techniques. Experience investigating cyber-enabled fraud, insider threats, and digital abuse incidents. Familiarity with email security, identity systems, and enterprise collaboration platforms. Experience working with threat intelligence, OSINT, and digital investigation tools. Strong analytical, investigative, and problem-solving skills. Experience working cross-functionally with Security, HR, Legal, Finance, IT, and executive leadership. Excellent written and verbal communication skills in Hebrew and English. It will be an added bonus if you have: Experience with brand protection, digital risk protection (DRP), or external attack surface monitoring platforms. Familiarity with dark web monitoring, OSINT investigations, and threat intelligence platforms. Experience working with law enforcement or external fraud investigation organizations. Knowledge of insider threat methodologies and user behavior analytics (UBA/UEBA). Experience in SaaS, cloud-native, or enterprise environments. Relevant certifications such as CFE (Certified Fraud Examiner), GCFA, GCTI, CISSP, or equivalent. BSc in Computer Science, Information Security, Criminology, Intelligence, or a related field. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We're looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure. This role sits at the intersection of engineering, delivery, and customer success – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments . This role is NOT: A sales role (though you will support expansion through value) A pure support role (you won’t just react to tickets) A solution architect role (you won’t design systems from scratch) You’re welcome to work remotely from the United States . Your responsibilities will include: Own the production journey Lead the transition from PoC to production Ensure customer workloads are deployed, stable, and scalable Drive time-to-production and time-to-value Ensure technical success in production Understand customer architectures and use cases Monitor and improve: - performance (latency, throughput) - cost efficiency - reliability Identify and resolve bottlenecks proactively Act as a trusted technical partner Work directly with customer engineering teams Provide guidance on best practices and optimisation Translate technical challenges into actionable solutions Manage risks and incidents Act as a primary technical contact for production issues Coordinate with internal teams to resolve incidents Communicate clearly during high-pressure situations Drive continuous improvement Identify opportunities to optimise and expand usage Provide structured feedback to Product and Infrastructure teams Help shape better solutions based on real customer needs We expect you to have: Technical background Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar) Solid understanding of: - cloud or infrastructure systems - distributed systems or high-load applications - AI/ML workloads (LLMs, inference, etc.) is a strong plus Ability to troubleshoot and reason about system performance Customer-facing experience Experience working directly with technical customers (e.g. engineers, ML teams) Ability to communicate complex topics clearly and effectively Ownership & execution Strong sense of ownership – you drive outcomes, not just tasks Ability to manage multiple customers and priorities Structured, proactive, and solution-oriented mindset It will be an added bonus if you have: Experience with GPU workloads or AI infrastructure Background in solutions engineering, SRE, or technical support in B2B environments 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. #LI-DN1 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 $209,800 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Limassol; Belgrade Workplace: onsite About Unlimit Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses. Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents. Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography. About the role: We are looking for a senior engineer to become the technical lead of our card processing platform. You will own the SmartVista ecosystem end to end (FrontEnd and BackOffice), set the standards for how processing is built, changed and operated, and lead the work of finding and closing gaps in our processes, configuration and controls. This is not a pure support or configuration role. We expect you to replace manual work with automation and to put AI to practical use in processing operations: anomaly detection, intelligent alerting, automated root-cause analysis and AI-assisted analysis of scheme specifications and transaction data. The role combines card processing expertise + technical leadership + engineering (backend, scripting, integrations) + automation and AI adoption. What you will do: 1. Technical leadership and platform ownership Own the end-to-end architecture of the processing ecosystem (SmartVista FrontEnd and BackOffice, interfaces, HSM, scheme connectivity) and make architecture and technology-stack decisions. Act as the technical lead and senior escalation point for processing engineers; set engineering standards, review solutions. Lead major incidents, coordinate the response with internal teams, the vendor and card schemes, and drive post-incident reviews to permanent fixes. Manage the relationship with the SmartVista vendor on releases, patches, defects and change requests. 2. Process ownership and gap remediation Map the current processing processes (authorisation, clearing, settlement, disputes, reconciliation, reporting, release and change management, monitoring and on-call) and identify gaps, single points of failure and manual workarounds. Build and run a remediation plan: define owners, deadlines and measurable outcomes, and follow through to closure. Introduce and maintain operational standards: runbooks, release and change procedures, incident and problem management, SLAs and KPIs (e.g. availability, approval rate, incident resolution time). Make sure scheme mandates and regulatory changes are tracked, assessed and implemented on time, and that the evidence of compliance is documented. 3. Processing development and scheme compliance Deliver the technical implementation of new card products and services (acquiring and issuing) for Visa, Mastercard, UnionPay, American Express and other schemes. Translate scheme mandates and specifications into technical solutions, and lead certification projects with the schemes. Configure and develop SmartVista FrontEnd and BackOffice products, services and business rules. Prepare technical requirements for system upgrades; test and install releases and patches with minimal downtime. Diagnose complex issues across authorisation, clearing and settlement flows and drive them to root cause. Set up and maintain payment system emulators and test environments; take part in go-live and pilot activities. Maintain clear technical documentation of the platform and implementation procedures. 4. Monitoring and observability: design, development and implementation Design and build an end-to-end monitoring framework for the processing platform, covering infrastructure, applications, interfaces and business metrics. Develop and implement real-time monitoring of: - authorisation flows: approval and decline rates by scheme, BIN, issuer country, merchant, MCC and response code. - response times, timeouts and stand-in processing. - scheme, issuer and HSM connectivity and host availability. - transaction volumes and abnormal spikes or drops. Develop and implement monitoring of back-office processes: - clearing file generation, submission and acknowledgement (Visa, Mastercard and other schemes). - incoming scheme files and reports, settlement positions and reconciliation breaks. - end-of-day and batch jobs, interchange and fee calculation, chargeback and dispute deadlines. Monitor scheme compliance indicators (e.g. decline-code usage, data-integrity edits, excessive retries, fraud and dispute ratios) to catch issues before they become scheme non-compliance or fines. Define thresholds, alerting rules and escalation paths; integrate alerts with on-call, incident management and messaging tools. Build operational dashboards for engineering, operations and management, and define the related KPIs and SLAs. Develop health checks, synthetic test transactions and log-based monitoring for SmartVista components. Continuously tune monitoring to reduce false alerts, and turn incident findings into new checks and controls. 5. Automation and AI Identify manual and repetitive processes and automate them, including: - reconciliation and settlement. - scheme file exchange and report submission. - testing, regression and release management. - monitoring and alerting. Build CI/CD pipelines and automated deployment for processing components and configuration. Design and deliver AI-driven solutions for processing operations, for example: - anomaly detection on transaction flows, decline patterns and fraud signals. - intelligent alerting that reduces noise and escalates what matters. - automated root-cause analysis of declines and incidents - AI assistants or agents that analyse scheme specifications, mandates and authorisation messages and flag deviations. Introduce test automation and regression frameworks for scheme messages and processing flows. Promote the safe use of AI tools across the team, with appropriate controls for data security, PCI DSS and human oversight of changes to production. What you bring: 6+ years of hands-on experience in card processing, covering the full transaction lifecycle: authorisation, clearing, settlement, chargebacks and reconciliation. At least 2 years in a senior, lead or architect role, with a track record of owning a processing platform and leading engineers, directly or as a technical lead. Strong practical experience with SmartVista (FrontEnd and/or BackOffice); deep experience with acomparable platform (e.g. Way4, TranzWare) may be considered. Proven experience of improving processes: finding operational gaps, designing controls and delivering a remediation plan to completion. Certification experience with Visa and Mastercard and the ability to read and apply scheme specifications and rules (ISO 8583, Visa Base I/II, Mastercard IPM/CIS). Hands-on automation skills: Python, SQL/PL/SQL, Bash; experience with CI/CD tools (e.g. GitLab CI, Jenkins), test automation and API testing (e.g. Postman). Practical experience applying AI or ML in production work, such as anomaly detection, LLM-based tools or agents, or AI-assisted analysis and coding, and a clear view of their limits and risks. Working knowledge of Oracle DB, WebLogic, Linux, REST/SOAP web services and HTTP. Experience with scheme tools: Visa Edit Package, VCX, Mastercard File Express (MFE) and scheme test tools and emulators (e.g. Mastercard MAX, Visa test systems). Good understanding of e-commerce and digital payments: EMV 3-D Secure, tokenisation (VTS/MDES), Apple Pay / Google Pay, recurring payments, AVS. Knowledge of card technologies and security: EMV, contactless, HSM (Thales), key management, PCI DSS. Experience with release and change management in a 24/7 production environment. Fluent English (B2+) for daily communication with card schemes, vendors and international teams. What we offer: A key role with real ownership of a business-critical platform and visible impact on approval rates, stability and time to market. The mandate and support to modernise processing with automation and AI. Competitive salary and performance-based rewards. Paid vacation, sick leave and public holidays. Flexible working hours and modern equipment. An international team of payments professionals in a fast-growing fintech. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.   We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Almaty, Kazakhstan; Astana, Kazakhstan; Belgrade, Serbia; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Monterrey, Mexico; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia As a Solutions Architect, you will define and guide architecture across card acquiring and payment processing domains. You will work on transaction flows, processing and routing components, scheme and partner integrations, resilience patterns, and technical standards. You will work closely with engineering, product, and business stakeholders to translate complex payment requirements into scalable solution designs and guide engineering teams through implementation. - Define and evolve the solution architecture for card acquiring and processing capabilities, covering authorization, switching, routing, clearing, settlement and reconciliation; - Design end-to-end transaction flows for card-present and card-not-present scenarios, including authorization, capture, reversals, refunds and exception handling; - Design integration patterns with card schemes, processors, banks, payment gateways and merchant-facing systems, including ISO 8583 message flows and scheme-specific variations; - Define resilience and failure-handling patterns for high-throughput, low-latency transaction processing, including idempotency, retries, timeouts, duplicate detection and recovery; - Ensure the architecture meets PCI DSS and payment security requirements, including cardholder data protection and tokenization; - Translate business and product requirements into concrete technical solutions and communicate architecture decisions across engineering, product and business teams; - Remain hands-on and contribute directly to implementation where needed, particularly for complex transaction processing, integrations and core platform components; - Define technical standards and review solution designs and implementations across engineering teams; - Contribute to the evolution and modernization of payment processing capabilities and legacy components where relevant. - Strong experience as a Solution Architect, Technical Architect or Lead Architect in card acquiring or payment processing; - Proven experience designing or significantly evolving an acquiring platform, payment switch or card transaction processing system, including real-time switching and routing; - Deep understanding of the acquiring transaction lifecycle: authorization, capture, reversals, refunds, clearing, settlement and reconciliation; - Strong practical knowledge of ISO 8583, including message flows and scheme-specific implementations; - Strong knowledge of card-present and card-not-present transaction processing; - Good understanding of EMV and 3-D Secure transaction flows; - Experience integrating with card schemes, processors, banks, payment gateways or merchant-facing systems; - Strong understanding of distributed systems, including idempotency, retries, timeouts, duplicate handling and recovery scenarios; - Experience designing high-availability, high-throughput, low-latency transactional systems; - Good understanding of PCI DSS, cardholder data security, tokenization and payment security principles; - Strong software engineering background with recent hands-on development experience and the ability to contribute directly to production code when needed; - Excellent communication and stakeholder management skills; - Upper-Intermediate or higher level of English. - Hands-on experience designing and certifying direct acquiring integrations with major card schemes, such as Visa, Mastercard, UnionPay, JCB, American Express and Discover; - Experience with both POS and e-commerce acquiring; - Experience with HSMs, PIN processing, payment cryptography and key management; - Hands-on work with scheme clearing files and settlement processes, such as Visa BASE II and Mastercard IPM; - Experience with processing platforms such as Way4, BASE24, SmartVista, TranzAxis or similar; - Experience with acquiring platform modernization or migration; - Experience with event-driven or microservices-based transaction processing architectures.

Location: Sofia, Bulgaria Full-time Hybrid · Sofia, Bulgaria · 4 days in the office and 1 remote day per week #ThriveatMMDSmart Would you like to build a career in a leading multinational IT company? We are looking for a Business Development Manager (B2B & eSIM Partnerships) to join our team. Since 2007, MMDSmart has been a leading supplier in cloud communications, delivering game-changing IT products to businesses in over 100 countries. Our success is fueled by the inspiration and innovative ideas of our team members, encouraging their growth and impacting our Messaging and Voice solutions. These empower our clients to communicate more effectively with their customers. Don’t miss this chance to excel in a rapidly expanding tech company, where your potential and ambitions are not just recognized, but celebrated. What will you do at MMDSmart? Identify and approach potential B2B partners; Generate new business opportunities through cold outreach and lead generation; Present our eSIM solutions and negotiate partnership terms, including revenue-sharing agreements; Manage partnerships from initial contact to successful launch; Track performance, maintain CRM records, and report on results. Requirements You are a perfect match if you have: Previous experience in B2B sales or business development within the telecommunications or travel industry is required; Hands-on experience with cold outreach and lead generation; Strong negotiation and relationship-building skills; Fluent English , both written and spoken; Good computer skills and confidence working with CRM systems; A proactive, results-driven mindset and the ability to work independently; Availability to work from our Sofia office 4 days per week, with 1 remote day. Nice to have: Experience in B2B eSIM sales or eSIM partnerships ; Experience with affiliate programs, channel sales, or revenue-sharing models; Professional communication skills in Russian or Ukrainian. Benefits Why do talents choose and stay at MMDSmart? Embrace the opportunity to work in a company that cares about: Your Wellness: Access to mental health programs, comprehensive medical insurance, and a sports card. Your Happiness: Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts. Your Development : Benefit from free educational events & courses, and English classes with native speakers. Your Career: Focus on your professional development in a supportive environment. Work-Life Balance : Choose your working format – remote, office-based, or hybrid and engage in team-building activities. Think this role’s got your name on it? Go ahead and apply, we’d love to see what you’ve got! Equal-Opportunity Employment We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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 As Senior Commercial Manager, Data Centers, you will drive the commercial activities that support Nebius's data center expansion and operations across the United States.You will be the primary point of coordination between our data center providers and internal Infrastructure, Legal, Finance, Treasury, and Procurement teams. Your scope will include provider funding requests, contractual commitments, change orders, prepayments, and commercial issues affecting delivery. We are looking for someone who takes ownership from the initial request through final execution: clarifying requirements, resolving open questions, securing approvals, coordinating signatures and payments, and confirming that commitments are fulfilled. You will need to work independently, manage competing priorities, and bring structure to complex situations. This remote position will require travel between Data Centers. Your responsibilities will include: Provider commercial management Own the coordination of commercial matters with colocation providers, data center developers, and power infrastructure partners. Review provider requests for completeness, supporting documentation, contractual basis, and alignment with agreed scope and milestones. Coordinate negotiations on change orders, payment schedules, and other commercial arrangements with the relevant business owners and Legal. Track provider obligations and follow through on unresolved commitments, discrepancies, and disputes. Funding and Payment Coordination Drive funding requests, milestone payments, deposits, and prepayments through internal review and approval. Maintain a consolidated view of requested, approved, committed, and paid amounts across projects. Reconcile revised requests, funding reallocations, and previously paid amounts with Finance and providers. Coordinate with Legal and Finance on loan arrangements, escrow releases, guarantees, and other funding structures when required. Ensure documentation, signatures, and authorized approvals are completed before Treasury releases funds, and confirm payment receipt and allocation with providers. Cross- Functional Execution Establish clear owners, deadlines, and next steps across Infrastructure, Legal, Finance, Treasury, and Procurement. Lead focused reviews to resolve open issues and secure decisions. Prepare concise recommendations explaining the request, available options, financial implications, and delivery impact. Escalate unresolved issues early and drive them through to closure. Delivery Alignment and Reporting Work with construction, power, and operations teams to connect commercial decisions to project schedules and capacity availability. Identify funding or contractual dependencies that could delay procurement, construction, commissioning, or handover. Provide leadership with clear reporting on outstanding commitments, upcoming payments, and decisions required. Build repeatable processes for provider requests, approvals, documentation, and reporting as the portfolio grows. What we expect you to have: 7+ years of relevant experience in commercial management, infrastructure business operations, project controls, or capital project delivery. Experience managing commercial activities involving data centers, energy, construction, real estate development, or other capital-intensive infrastructure. A demonstrated ability to drive work across Legal, Finance, and operational teams without direct reporting authority. Strong understanding of contract administration, change orders, payment milestones, budgets, and financial commitments. Confidence reviewing financial information, identifying inconsistencies, and challenging incomplete or unsupported requests. Strong negotiation, stakeholder management, and written communication skills. The ability to manage several complex matters simultaneously while maintaining accuracy and clear priorities. A bachelor's degree in Business, Finance, Engineering, Construction Management, or a related discipline, or equivalent practical experience. It would be an an added bonus if you have: Experience working with hyperscale or AI data center providers. Familiarity with colocation agreements, utility contracts, escrow arrangements, and infrastructure financing. Experience establishing commercial processes in a rapidly growing organization. An understanding of data center construction, power availability, commissioning, and operational handover. Key employee benefits: Health insurance: 100% company-paid medical, dental and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave : 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries ranging from $115K to $225K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades. 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 $115,000 — $225,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Strava SF Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. ABOUT THIS ROLE Sport Science sits outside Product, Tech, and Runna, reporting directly to the CEO. The team is responsible for the ongoing scientific validation and safety of Strava's and Runna's fitness products, and for the applied research agenda that pushes forward the science of sport and fitness. As Head of Sport Science, you'll own two things at once: the ongoing scientific validation and safety review of Runna's and Strava's fitness products, and the applied research agenda behind them. You'll manage and grow academic partnerships, define the data and benchmarks needed to make our models' insights scientifically defensible, and grow a team over time. You'll work closely with the coaching team, AI/ML, Data Science, Product, Public Policy, and Legal. We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office, three days per week. WHAT YOU'LL DO: - Own the ongoing scientific validation and safety review of Runna's and Strava's fitness products, starting with the open items in an active academic audit - Manage and grow academic partnerships with Stanford University and Loughborough University, and scope new partnerships as needed - Define the data and label strategy, such as perceived exertion, injury history, and sleep, that makes our models' insights scientifically defensible, partnering closely with Data Science and AI/ML - Partner with Runna's coaching team on a recurring review cadence, serving as the scientific authority on disputed questions about the application of science in coaching - Build out the Sport Science team, plus an external academic advisory council, over time - Represent Strava's scientific credibility in external settings, from published research to occasional conference talks. WHAT YOU'LL BRING TO THE TEAM: - An MD, PhD, or equivalent applied track record in exercise physiology, sports science, biomechanics, sports medicine, or a closely related field - Substantial experience combining peer-reviewed research with applied work in industry, elite sport, or a research-focused sports medicine setting, translating science into product decisions - A track record of managing external academic or clinical partnerships, including agreements, multi-institution collaborations, and ethics-related governance - Comfort partnering with data science and ML teams to translate research questions into model and data requirements is a plus, though you won't need to write code yourself - Experience building a team or function from its first hire is a plus - A track record of representing scientific work externally, such as a paper, a conference talk, or a podcast, is a plus - Endurance or running-specific research experience is a plus, though not required WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub