Вакансии

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.  Project Details Job Title: Data Labeling Analyst (Speech & Voice AI)  Hiring in: Onsite (Bay Area, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Hourly Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC,  Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in English (UK) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Job Reference: #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: Paris, France; London, United Kingdom; Lisbon, Portugal; Milan, Italy; Rome, Italy; Berlin, Germany; Athens, Greece; Barcelona, Spain; Bari, Italy; Split, Croatia; Copenhagen, Denmark; Oslo, Norway; Tallinn, Estonia; Lima, Peru; Limassol, Cyprus; Budapest, Hungary; Florence, Italy; Amsterdam, Netherlands; Stockholm, Sweden; Warsaw, Poland; Kraków, Poland; Lublin, Poland; A Coruña, Spain; Aachen, Germany; Aalborg, Denmark; Aarhus, Denmark; Aberdeen, United Kingdom; Algarve, Portugal; Loulé, Portugal; Alicante, Spain; Andijan, Uzbekistan; Amstetten, Austria; Almería, Spain; Antalya, Türkiye; Antwerp, Belgium; Amadora, Portugal; Almaty, Kazakhstan; Alajuela, Costa Rica; Badajoz, Spain; Bedford, United Kingdom; Belgrade, Serbia; Bern, Switzerland; Birgu, Malta; Birmingham, United Kingdom; Bordeaux, France; Bologna, Italy; Braga, Portugal; Brașov, Romania; Brno, Czechia; Bursa, Türkiye; Seoul, South Korea; Bydgoszcz, Poland; Čačak, Serbia; Caieiras, Brazil; Cascais, Portugal; Celje, Slovenia; Cardiff, United Kingdom; České Budějovice, Czechia; Chelyabinsk, Russia; Cork, Ireland; Craiova, Romania; Crete, Greece; Debrecen, Hungary; Derby, United Kingdom; Dublin, Ireland; Düsseldorf, Germany; Edirne, Türkiye; Edinburgh, United Kingdom; Eindhoven, Netherlands; Eisenstadt, Austria; Faro, Portugal; Frankfurt, Germany; Freiburg, Germany; Gdańsk, Poland; Gebele, Azerbaijan; Gaziantep, Türkiye; Ganja, Azerbaijan; Geneva, Switzerland; Gothenburg, Sweden; Goiânia, Brazil; Glasgow, United Kingdom; Graz, Austria; Girona, Spain; Hamburg, Germany; Iași, Romania; Île-de-France, France; Innsbruck, Austria; Ingolstadt, Germany; Kaunas, Lithuania; Kerpen, Germany; Kičevo, North Macedonia; Klagenfurt am Wörthersee, Austria; Klang, Malaysia; Kyiv, Ukraine; Kufstein, Austria; Larnaca, Cyprus; Leeds, United Kingdom; Lefke, Cyprus; Leicester, United Kingdom; Leibnitz, Austria; Limbourg, Belgium; Liepāja, Latvia; Limerick, Ireland; Linz, Austria; Liverpool, United Kingdom; Ljubljana, Slovenia; Łódź, Poland; Madrid, Spain; Maastricht, Netherlands; Lyon, France; Málaga, Spain; Manchester, United Kingdom; Marbella, Spain; Marseille, France; Metropolitan City of Naples, Italy; Miskolc, Hungary; Monaghan, Ireland; Munich, Germany; Newcastle upon Tyne, United Kingdom; Nice, France; Novosibirsk, Russia; Nyíregyháza, Hungary; Oeiras, Portugal; Ostrava, Czechia; Palermo, Italy; Paphos, Cyprus; Passau, Germany; Patras, Greece; Pécs, Hungary; Pilsen, Czechia; Porto, Portugal; Plovdiv, Bulgaria; Poznań, Poland; Prague, Czechia; Pristina, Kosovo; Regensburg, Germany; Rosenheim, Germany; Rotterdam, Netherlands; Saint Pölten, Austria; Saint-Étienne, France; Saint-Tropez, France; Sheffield, United Kingdom; Sintra, Portugal; Sofia, Bulgaria; Stara Zagora, Bulgaria; Strumica, North Macedonia; Stuttgart, Germany; Suzano, Brazil; Sveta Nedelja, Croatia; Swansea, United Kingdom; Sydney, Australia; Tbilisi, Georgia; The Hague, Netherlands; Thun, Switzerland; Tirana, Albania; Toulouse, France; Tripoli, Lebanon; Turin, Italy; Ulm, Germany; Utrecht, Netherlands; Valencia, Spain; Valletta, Malta; Venice, Italy; Verona, Italy; Vienna, Austria; Vilnius, Lithuania; Wiesbaden, Germany; Würzburg, Germany; Zagreb, Croatia; Zadar, Croatia; Zaragoza, Spain; Zürich, Switzerland; Karpacz, Poland; Dnipro, Ukraine; Niš, Serbia; Sibiu, Romania; Baku, Azerbaijan; Basel, Switzerland; Belfast, United Kingdom; Bergen, Norway; Birkirkara, Malta; Bratislava, Slovakia; Bruges, Belgium; Brussels, Belgium; Bucharest, Romania; Burgas, Bulgaria; Chișinău, Moldova; Cluj-Napoca, Romania; Cologne, Germany; Constanța, Romania; Coventry, United Kingdom; Daugavpils, Latvia; Dresden, Germany; Galway, Ireland; Genoa, Italy; Ghent, Belgium; Hanover, Germany; Helsinki, Finland; Heraklion, Greece; İstanbul, Türkiye; Kazan, Russia; Kharkiv, Ukraine; Košice, Slovakia; Leipzig, Germany; Lille, France; Lviv, Ukraine; Malmö, Sweden; Maribor, Slovenia; Moscow, Russia; Nantes, France; Naples, Italy; Newcastle, United Kingdom; Nicosia, Cyprus; Nizhny Novgorod, Russia; Novi Sad, Serbia; Nuremberg, Germany; Pljevlja, Montenegro; Podgorica, Montenegro; Saint Petersburg, Russia; Salzburg, Austria; Samara, Russia; San Marino; Sarajevo, Bosnia and Herzegovina; Seville, Spain; Skopje, North Macedonia; Sliema, Malta; Zrenjanin, Serbia; Wrocław, Poland; Varna, Bulgaria; Timișoara, Romania; Thessaloniki, Greece Workplace: fully David Kennedy Recruitment is working with a fast-growing AI technology company with over 50 million users worldwide that is seeking to onboard a Talent Acquisition Specialist to join their team. The successful candidate will be the company's third Talent Acquisition Specialist, working closely with the CEO and business leaders to recruit internationally across every function, with a strong focus on tech, while helping shape how recruitment evolves as the company grows beyond 100 employees. Location: Europe, Remote Employment type: B2B contract Remuneration: Competitive salary dependant on experience DUTIES AND RESPONSIBILITIES: Map and engage top talent from Tier 1 tech hubs and companies worldwide, including candidates who are not actively applying Help implement an AI-first recruitment stack, using AI agents, niche technical communities and unconventional channels to find exceptional talent Build and maintain long-term relationships with passive talent globally to stay ahead of hiring needs Own the candidate journey from the first discovery call to the final close Conduct structured interviews assessing technical aptitude and cultural alignment Test new AI tools and sourcing strategies that keep the quality bar high Contribute to employer branding initiatives and content that position the company as a leading destination for AI talent REQUIREMENTS: 3+ years of recruitment experience, including at least 2 years in tech recruitment Experience working in a start-up or scale-up environment Global sourcing experience, with a track record of attracting talent from major tech hubs (USA, EU, LATAM, etc.) Familiarity with Applicant Tracking Systems (ATS) and other recruitment tools Perfectly fluent English and strong communication and collaboration skills Goal-oriented with strong ownership and a doer mindset, balancing execution, planning and strategy Humble and open to feedback, thriving in a high-trust environment Comfortable hiring for products built on uncensored models and NSFW content Advantages Experience in AI recruitment or familiarity with the AI space Exposure to employer branding, compensation benchmarking or broader talent acquisition initiatives BENEFITS: Fully remote, working from anywhere B2B contract preferred, with flexibility on contract type 20 working days of paid time off per year Annual in-person company gathering Monthly allowance towards health insurance expenses Unlimited 1:1 sessions with psychologists and lifestyle experts, also available to up to three family members Co-working space budget of up to two visits per month Learning budget for courses, books, conferences, events or certifications Company equipment Premium access to AI tools Opportunity to help shape the Talent Acquisition function at a defining stage of growth And many more!!!

Location: Japan About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is hiring a senior Account Executive to drive customer acquisition and growth across Japan. This is a strategic hunter role, focused on expanding adoption of our AI and cloud platform with new and existing customers in the region. You will own complex, high-value sales cycles end to end—building executive relationships, uncovering new opportunities, working closely with partners, and closing deals that drive long-term customer value. Success in this role requires strong consultative selling skills, the ability to translate complex business needs into tailored solutions, and comfort operating in a fast-moving, innovative environment. This role blends strategic thinking with hands-on execution and will play a key role in helping customers unlock the full potential of Nebius’ AI and cloud offerings. As a core member of our founding Japan business team, you will have the opportunity to help shape the foundations of our culture and operations while working remotely and being based in the Greater Tokyo Area. Your responsibilities will include: Own and grow your territory: Build and execute a strategic territory plan, delivering against revenue and growth targets. Negotiation & closing: Lead complex, multi-stakeholder negotiations with C-suite and senior decision-makers, closing deals that support long-term partnerships. Solution selling: Demonstrate the value of Nebius’ AI and cloud platform through consultative discovery, tailored presentations, and product demonstrations. Client engagement: Develop trusted relationships with key stakeholders across the enterprise, aligning solutions to customer-specific challenges and outcomes. Team orchestration: Partner closely with Sales Engineers, Industry Specialists, Partners, and Customer Success to deliver differentiated value propositions. Forecasting & execution: maintain strong forecast accuracy and delivering against ACV and activity targets. Market presence: Represent Nebius at regional and industry events, webinars, and customer forums. Subject matter expertise: Stay current on industry trends, emerging technologies, and the competitive landscape to position our solutions effectively. We expect you to have: 10+ years of B2B sales experience, ideally in AI, cloud, data infrastructure, or related technologies. A proven track record of exceeding sales targets, generating pipeline, and maintaining forecast accuracy. Experience selling cloud platforms (AWS, Azure, Google Cloud), AI solutions, or complex enterprise technologies. Strong commercial acumen, including value-based selling, executive storytelling, negotiation, and multi-year deal structuring. A genuine interest in working in a high-growth, startup environment, with a desire to directly impact company growth. Willingness and ability to travel within the region as needed. It will be an added bonus if you have: Prior experience in a high-growth or early-stage startup environment. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Houston, United States We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we have supported our clients across the world with unrivalled expertise, equipment, and technology throughout the entire asset lifecycle – both offshore and onshore. Operating through our global business lines of Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions, we provide a broad range of specialist services including cranes, lifting, fluid power, training, equipment rental, pipeline, process, subsea, and valve services. At EnerMech, we are driven by operational excellence, innovation, and technical expertise, delivering value through integrated solutions that reduce risk, improve efficiency, and enhance performance for our customers worldwide. The Role EnerMech is seeking an experienced Commercial Specialist - Estimating & Proposals to strengthen our Houston based team. The ideal candidate will have strong technical experience, a solid understanding of cost estimating, and proven track record working in Pipeline and Process Services. Commercial Specialist - Estimating & Proposals, will lead the end-to-end tendering process, ensuring each proposal is compliant, competitive, and aligned with Client requirements and our core values. You will collaborate with a team of experts, drawing on their knowledge while contributing your own expertise to each bid you work on. Responsibilities Develop a range of technical methodologies, equipment lists and cost estimates within the Pipeline and Process business line Attend Client pre-bid meetings and site visits, documenting relevant scope, technical, commercial, and operational information communicated by the Client Lead and coordinate the preparation of proposal documentation, integrating the basis of estimate, scope definition, contract qualifications, and other required inputs Review and interpret client documents, drawings, specifications, and technical scope requirements to develop appropriate methodology and equipment spreads Collaborate with technical, engineering, and cross-functional teams to develop technically and commercially appropriate client solutions while meeting tender deadlines Prepare comprehensive cost estimates covering all required components, including management services, equipment, materials, construction, operations, obtain vendor quotations and negotiate where appropriate Collaborate with Business Development to understand win strategy and Client expectations Coordinate with relevant departments to compile and respond to tender clarifications where applicable. Prepare supporting tender deliverables, including layout drawings, bid review documents, schedules, and tracking documentation Submit Client Terms and conditions through EnerMech portal for Legal Counsel to review Review of pricing preamble conditions set out in Client documentation and provide qualifications where applicable Be part of all negotiations during the tendering phase, your input matters Completed both technical and commercial qualifications in collaboration with relevant departments as part of the tender submission. Requirements 5-7+ years in similar role in North America Knowledge of estimating practices Knowledge of Pipeline and Process services such as Nitrogen Leak test, Retro jetting, Pigging, Hydrotest, Dewatering, Umbilicals etc.  Relevant technical knowledge specifically in Pipelines and Process Services and able to write methodologies Accuracy and ability to work to fast paced/tight deadlines Proficiency with Microsoft office suite including Word, Excel and Powerpoint Effective Communicator,  Detailed orientated person Presentation skills Self-motivated with strong organizational skills both written and verbal Commercial acumen Relevant Technical Field Experience is preferred but not essential Benefits Why Join EnerMech? At EnerMech, you'll join a global organisation where innovation, collaboration and technical excellence drive everything we do. You'll have the opportunity to influence business strategy, develop long-term customer partnerships and contribute to some of the world's most challenging energy and industrial projects. We offer a collaborative and entrepreneurial environment where commercial leadership is valued, professional development is encouraged and your contribution will directly support the continued growth and success of our business. Diversity & Inclusion EnerMech is committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds and experiences.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is hiring a senior Account Executive to drive customer acquisition and growth across APJ. This is a strategic hunter role, focused on expanding adoption of our AI and cloud platform with new and existing customers in the region. You will own complex, high-value sales cycles end to end—building executive relationships, uncovering new opportunities, working closely with partners, and closing deals that drive long-term customer value. Success in this role requires strong consultative selling skills, the ability to translate complex business needs into tailored solutions, and comfort operating in a fast-moving, innovative environment. This role blends strategic thinking with hands-on execution and will play a key role in helping customers unlock the full potential of Nebius’ AI and cloud offerings. This role is also a core member of our founding APJ team, currently operating remotely out of Singapore . Your responsibilities will include: Own and grow your territory: Build and execute a strategic territory plan, delivering against revenue and growth targets. Negotiation & closing: Lead complex, multi-stakeholder negotiations with C-suite and senior decision-makers, closing deals that support long-term partnerships. Solution selling: Demonstrate the value of Nebius’ AI and cloud platform through consultative discovery, tailored presentations, and product demonstrations. Client engagement: Develop trusted relationships with key stakeholders across the enterprise, aligning solutions to customer-specific challenges and outcomes. Team orchestration: Partner closely with Sales Engineers, Industry Specialists, Partners, and Customer Success to deliver differentiated value propositions. Forecasting & execution: maintain strong forecast accuracy and delivering against ACV and activity targets. Market presence: Represent Nebius at regional and industry events, webinars, and customer forums. Subject matter expertise: Stay current on industry trends, emerging technologies, and the competitive landscape to position our solutions effectively. We expect you to have: 10+ years of B2B sales experience, ideally in AI, cloud, data infrastructure, or related technologies. A proven track record of exceeding sales targets, generating pipeline, and maintaining forecast accuracy. Experience selling cloud platforms (AWS, Azure, Google Cloud), AI solutions, or complex enterprise technologies. Strong commercial acumen, including value-based selling, executive storytelling, negotiation, and multi-year deal structuring. A genuine interest in working in a high-growth, startup environment, with a desire to directly impact company growth. Willingness and ability to travel within the region as needed. It will be an added bonus if you have: Proficiency in additional regional languages beyond English. Prior experience in a high-growth or early-stage startup environment. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Farmers Branch, TX Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. The Opportunity: To continually strengthen its business and support its growth in North America, LG Electronics is seeking a Quality Engineer I to join our Component Solutions team. This position will support product quality and reliability by conducting product testing, failure analysis, and quality investigations while working directly with customers and internal teams to resolve quality concerns. The Quality Engineer will serve as an important technical point of contact for assigned customer accounts, helping identify root causes, coordinate corrective actions, and drive continuous improvement. This role will work cross-functionally with Quality Assurance, Sales Engineering, customers, and LG’s global manufacturing and quality teams. Here is why you should come join our team: You’ll join a collaborative, global organization where you’ll have the opportunity to directly influence product quality and the customer experience. In this role, you’ll gain hands-on exposure to product testing, failure analysis, customer quality issues, and continuous improvement while partnering with teams across North America and LG operations in Korea, Thailand, and Mexico. This is an individual contributor position that offers meaningful ownership of customer quality issues, giving you the opportunity to lead investigations, recommend solutions, and see quality improvements through from identification to resolution. What You’ll Do: Perform product and compressor testing to evaluate product performance, quality, and reliability. Conduct teardown and failure analysis of returned products and components to identify root causes of quality issues. Investigate customer complaints, field returns, warranty claims, and post-production quality concerns, and coordinate appropriate corrective actions. Analyze statistical and quality data to identify trends, recurring issues, and opportunities for product or process improvement. Prepare quality reports, including field return analysis, warranty claim reporting, testing results, findings, and corrective actions. Serve as the primary quality contact for assigned customer accounts, responding to quality concerns and providing technical recommendations and solutions. Collaborate with internal Quality Assurance, Sales Engineering, and global engineering and manufacturing teams to investigate and resolve product and customer quality issues. Recommend and implement improvements to testing procedures, analytical methods, product quality, and manufacturing or assembly processes. Identify opportunities to improve quality and manufacturing efficiency while reducing quality-related costs. Participate in quality meetings with customers, internal teams, manufacturing locations, and headquarters to communicate findings and coordinate improvement activities. Maintain accurate quality records, test results, reports, and supporting documentation. Prioritize urgent customer quality matters and initiate appropriate actions while coordinating with management and global quality teams as needed. Job Requirements: Bachelor’s degree in Engineering or a related technical field. Ability to understand and apply quality assurance principles, testing methodologies, and analytical processes. Proficiency with Microsoft Excel, including the ability to organize, analyze, and report on quality-related data. Strong problem-solving and root cause analysis skills. Ability to analyze technical information and quality data to identify issues and recommend solutions. Strong written and verbal communication skills with the ability to communicate technical information to internal teams and customers. Ability to work effectively across multiple functions and with global teams. Ability to manage multiple priorities and respond quickly to urgent customer quality concerns. Korean and English bilingual communication skills preferred Experience in quality engineering, manufacturing quality, supplier quality, product testing, reliability, or a related engineering environment is preferred. Experience performing product teardown, failure analysis, or root cause investigation is preferred. Experience working directly with customers on product quality or technical issues is preferred. Knowledge of statistical quality analysis and continuous improvement methodologies is preferred. Experience with compressors, HVAC, components, mechanical products, or other engineered products is a plus. Frequent travel required up to 30% of the time #LI-DB2 Recruiting Range $60,000 — $70,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

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: Espoo Workplace: Hybrid ROLE HIGHLIGHTS - Engineering Supply Chain Manager (Mechanical) - Location: Espoo, Finland - Department: Global Supply Chain - Reports to: R&D Supply Chain Manager - Employment type: Permanent - Workplace model: Office/On-site - Employment is subject to applicable security screening (incl. SUPO, where required)     THE MISSION OF THE ENGINEERING SUPPLY CHAIN MANAGER (MECHANICAL) As our Engineering Supply Chain Manager (Mechanical), you'll join our fast-moving Global Supply Chain organization and work closely with our hardware engineering teams as they design and build mechanical systems and structures on tight and shifting timelines. You'll be an active part of our engineering projects, helping to execute them and staying ahead of supply. That means identifying long lead items, critical materials and complex parts as early as possible in the process, and securing them before they become bottlenecks for testing and builds. When machining capacity, material availability, special process queues or a late design change threaten a prototype schedule, we need you to act. Our development cycles are fast and iterations are constantly occurring since we thrive on pushing the technology for the best. You'll also be a key link between Engineering and Production. You'll communicate R&D supply chain risks and the critical parts and materials you've identified to Production, so nothing comes as a surprise at handover. Your work supports the success of every engineering prototype iteration and at the same time prepares Production for rollout and mass production. This role suits someone who is proactive by nature, with a solution driven mindset and a deep understanding of mechanical manufacturing processes, materials and hardware prototyping, who is comfortable with ambiguity and acts before problems arrive rather than waiting for them. How quickly we get from concept to working hardware in orbit, and then into production, depends on how well this role is done. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.     YOUR DAY-TO-DAY RESPONSIBILITIES HIGH-VELOCITY ENGINEERING SUPPORT - Serve as the hands-on supply chain counterpart for fast-paced mechanical engineering teams working on multiple, rapidly evolving hardware projects. - Identify long lead items, critical raw materials and complex parts as early as possible, and secure them proactively (early orders, material reservation, capacity booking, buffer stock, coating readiness, securing helicoils) before they can delay a project. - Translate early-stage concepts, evolving BOMs, and mid-design changes into actionable sourcing steps with minimal delay. - Provide engineers with real-time insights on material availability, components availability and quick-turn manufacturing options. - Identify supply issues before they become blockers and propose workaround paths immediately. RAPID SOURCING & PROCUREMENT EXECUTION - Own project procurement of CNC machined parts, structural elements and composite parts, mechanisms, motors, fasteners, bearings, thermal hardware and raw materials, including related special processes such as heat treatment, surface treatments and coatings. - Run fast quoting and supplier selection so prototype and builds get their parts and materials on the dates engineering committed to. - Lead efforts to find alternative suppliers, processes or materials within hours, not weeks, when capacity or material shortages occur. - Set stock levels and material availability plans for development and prototype builds. SUPPLIER INTERACTION & TECHNICAL ENGAGEMENT - Worked closely with machine shops and composite fabricators, special process providers and material distributors, and worked with them to understand lead time constraints, manufacturing capabilities, DFM implications and fast-track build options. - Support technical capability assessments of machining, special process suppliers, and material distributors. - Negotiate priority machine time, expedited processing and shipments, and secure prototypes under compressed timelines. CROSS-FUNCTIONAL START-UP COLLABORATION - Coordinate across engineering, manufacturing, program management, and operations to remove obstacles and maintain build readiness. - Maintain complete visibility into prototype schedules, engineering changes, and material risks, communicating clearly and frequently. - Operate with a bias for action: if something is unclear, you chase it; if something breaks, you fix it; if something is missing, you find it. AGILITY, RISK MANAGEMENT & CONTINUOUS IMPROVEMENT - Build and maintain a living view of supply risks across all active projects, including capacity constraints, raw material availability, single-source suppliers, special process bottlenecks and export restrictions and qualify alternatives early. - Keep purchasing details accurate in the ERP system, with clean traceability and build readiness status that the organisation can rely on, even under fast-moving conditions. - Bring an experimentation mindset: test new suppliers, new sourcing channels, new manufacturing partners, and new tools to reduce lead times and cost. R&D TO PRODUCTION READINESS - Communicate R&D supply chain risks and identified critical parts and materials to Production early and clearly, so they are known well before handover. - Support the success and rapid iteration of engineering prototypes while preparing Production for rollout and mass production. - Make sure critical and long lead parts, qualified suppliers and special processes, and realistic lead times and capacity are in place before a design moves into series production. - Help build the sourcing foundations that will carry a design from prototype into repeatable production. WHAT WE’RE LOOKING FOR MUST HAVES: - 5+ years of direct experience in mechanical sourcing, procurement or engineering supply chain roles in fast-moving hardware environments. - Strong procurement understanding of machined and composites parts, special processes, engineering materials and prototyping flows. - Demonstrated ability to work effectively in startup-like conditions: tight deadlines, shifting priorities, incomplete information, and rapid cycles. - Hands-on experience running purchasing and material management through an ERP system. - Confident negotiator, commercially and technically, able to influence engineers, program managers and suppliers without formal authority. - Strong communication, problem-solving, and negotiation abilities. NICE TO HAVES: - Experience in space, aerospace, defence, hardware startups or other deep-tech R&D environments. - Engineering Mechanical Background, knowledge of the tools (such as CAD) and technical understanding/background of designs. - Exposure to taking a hardware design from prototype into series production. - Existing relationships with machine shops, fabricators, special process providers and material distributors. Familiarity with rapid-prototyping suppliers and global component marketplaces APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager interview - Task Stage - Task-based interview - Final Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Attraction will confirm what applies for this role and location during the process. Base salary range for this position is dependent on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS - Engineering Supply Chain Manager (Electronics) - Location: Espoo, Finland - Department: Global Supply Chain - Reports to: Engineering Operations Manager - Employment type: Permanent - Workplace model: Office/On-site - Employment is subject to applicable security screening (incl. SUPO, where required)     THE MISSION OF THE ENGINEERING SUPPLY CHAIN MANAGER (ELECTRONICS) As our Engineering Supply Chain Manager (Electronics), you'll join our fast-moving Global Supply Chain organization and work closely with our hardware engineering teams as they design and build electronic systems on tight and shifting timelines. You'll be an active part of our engineering projects, helping to execute them and staying ahead of supply. That means identifying long lead items and critical components as early as possible in the process, and securing them before they become bottlenecks for testing and builds. When lead times, allocation or a late design change threaten a prototype schedule, we need you to act. Our development cycles are fast and iterations are constantly occurring since we thrive on pushing the technology for the best. You'll also be a key link between Engineering and Production. You'll communicate R&D supply chain risks and the critical components you've identified to Production, so nothing comes as a surprise at handover. Your work supports the success of every engineering prototype iteration and at the same time prepares Production for rollout and mass production. This role suits someone who is proactive by nature, with a solution driven mindset and a deep understanding of electronics, PCB manufacturing and hardware prototyping, who is comfortable with ambiguity and acts before problems arrive rather than waiting for them. How quickly we get from concept to working hardware in orbit, and then into production, depends on how well this role is done. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.     YOUR DAY-TO-DAY RESPONSIBILITIES HIGH-VELOCITY ENGINEERING SUPPORT - Serve as the hands-on supply chain counterpart for fast-paced electronics engineering teams working on multiple, rapidly evolving hardware projects. - Be an active member of engineering project teams from kick-off, helping to execute the project plan and reviewing draft BOMs while the design can still be changed. - Identify long lead items and critical components as early as possible, and secure them proactively (early orders, allocation, buffer stock) before they can delay a project. - Translate early-stage concepts, evolving BOMs, and mid-design changes into actionable sourcing steps with minimal delay. - Advise engineers, in real time and in early design reviews, on how component choices affect availability, alternates, obsolescence, cost and lead time. - Identify supply issues before they become blockers and propose workaround paths immediately. RAPID SOURCING & PROCUREMENT EXECUTION - Own sourcing and procurement of electronic components, PCB fabrication, PCBA assembly, connectors, harness, sensors, RF parts, embedded modules. - Run fast quoting and supplier selection so prototype and builds get their boards and parts on the dates engineering committed to. - Lead efforts to find alternative components or new supply paths within hours, not weeks, when shortages occur. - Set stock levels and material availability plans for development and prototype builds. SUPPLIER INTERACTION & TECHNICAL ENGAGEMENT - Own relationships with PCB fabricators, electronics manufacturing partners and component distributors, and work with them to understand lead time constraints, manufacturing capabilities, DFM implications and fast-track build options. - Support technical capability assessments of PCB/PCBA vendors, machining partners, and component distributors. - Negotiate priority build slots, allocation and expedited shipments, and secure prototypes under compressed timelines. CROSS-FUNCTIONAL START-UP COLLABORATION - Coordinate across engineering, manufacturing, program management, and operations to remove obstacles and maintain build readiness. - Maintain complete visibility into prototype schedules, engineering changes, and material risks, communicating clearly and frequently. - Operate with a bias for action: if something is unclear, you chase it; if something breaks, you fix it; if something is missing, you find it. AGILITY, RISK MANAGEMENT & CONTINUOUS IMPROVEMENT - Build and maintain a living view of supply risks across all active prjects, including obsolescence, allocation, single-source parts, counterfeit risk and export restrictions and qualify alternatives early. - Keep purchasing accurate in the ERP system, with clean traceability, cost visibility and build readiness status that the organisation can rely on, even under fast-moving conditions. - Bring an experimentation mindset: test new suppliers, new sourcing channels, new manufacturing partners, and new tools to reduce lead times and cost. R&D TO PRODUCTION READINESS - Communicate R&D supply chain risks and identified critical components to Production early and clearly, so they are known well before handover. - Support the success and rapid iteration of engineering prototypes while preparing Production for rollout and mass production. - Make sure critical and long lead parts, qualified suppliers and realistic lead times and capacity are in place before a design moves into series production. - Help build the sourcing foundations that will carry a design from prototype into repeatable production. WHAT WE’RE LOOKING FOR MUST HAVES: - Bachelor’s degree in Electrical/Electronic Engineering, Mechatronics, Supply Chain, or similar. - 5+ years of direct experience in electronics sourcing, component procurement or engineering supply chain roles in fast-moving hardware environments. - Strong technical understanding of semiconductors, passive components, PCB fabrication, PCBA assembly, embedded electronics, and prototyping flows. - Demonstrated ability to work effectively in startup-like conditions, tight deadlines, shifting priorities, and rapid cycles. - Hands-on experience interpreting electronic schematics, BOMs, AVL requirements, PCB stackups, and manufacturing documentation. - Demonstrated ability to work effectively in startup-like conditions: tight deadlines, shifting priorities, incomplete information, and rapid cycles. - Hands-on experience running purchasing and material management through an ERP system. - Confident negotiator, commercially and technically, able to influence engineers, program managers and suppliers without formal authority. - Professional English, written and spoken. NICE TO HAVES: - Engineering Electronics Background, knowledge of the tools and technical understanding/background of designs. - Experience in space, aerospace, defence, hardware startups or other deep-tech R&D environments. - Exposure to taking a hardware design from prototype into series production. - Existing relationships with PCB/PCBA vendors, distributors and electronics manufacturing partners. - Certifications (APICS, PMP, Six Sigma) useful but not required. - Familiarity with rapid-prototyping suppliers, global component marketplaces, and digital sourcing tools. APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager interview - Task Stage - Task-based interview - Final Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Attraction will confirm what applies for this role and location during the process. Base salary range for this position is dependent on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

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: European Union; Moldova; Latvia; Albania; North Macedonia; Slovakia; Malta; Croatia; Czech Republic; Slovenia; Romania; Spain; Bulgaria; Kazakhstan; Poland; Hungary; Montenegro; Estonia; Ukraine; Cyprus; Lithuania; Greece; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE Ruby Labs is hiring an experienced Senior Data Analyst to join our fast-paced, high-ownership environment. You will drive analytics across subscription products and web funnels, partnering with Product, Marketing (UAM), and Data teams to improve conversion, retention, and LTV- while ensuring trusted tracking, strong data models, and decision-ready reporting. This role is hands-on and cross-functional: you will own analysis from problem framing to recommendation, and you’ll mentor analysts while collaborating closely with Data Engineering/BI to keep data foundations reliable. RESPONSIBILITIES - Partner with Product, Marketing, and Data Teams to define KPIs, success metrics, and decision criteria. - Create new dashboards, maintain and improve existing reporting (e.g., Product Reports, Marketing Performance Reports), ensuring clarity and trust. - Deliver full-funnel analysis, identify bottlenecks, and propose improvements or A/B test ideas. - Analyze payment and subscription performance across checkout, trial-to-paid conversion, renewals, failed payments, refunds, and chargebacks; identify revenue leakage and recommend improvements. - Partner with Product, Engineering, and Finance to investigate payment issues and ensure payment metrics and revenue reporting are accurate and consistent. - Lead user behavior analysis (journeys, drop-offs, activation/aha moments) using event data. - Monitor key metrics and anomalies; escalate issues and communicate updates to stakeholders with defined SLAs - Own and maintain event taxonomy and tracking structure (events, properties, naming conventions); validate implementation and business logic alignment. - Design and build robust, reusable SQL data models (clean layers, consistent definitions, performance-minded queries). - Mentor Junior/Middle Analysts in SQL, validation, funnel/cohort analysis, and experimentation quality; provide regular feedback and guidance. - Give and receive direct, actionable feedback with peers and the Leadership Team; maintain a high bar for quality in a demanding environment. REQUIREMENTS - Degree in an analytical field (e.g., Mathematics, Data Science, Economics) or equivalent practical experience. - 3+ years of experience as a Data Analyst, with proven ownership of end-to-end analysis and stakeholder delivery. - Strong analytical and problem-solving skills; ability to identify trends, patterns, and root causes in large datasets. - Excellent verbal and written communication; ability to translate analysis into clear business actions. - Ability to think strategically and make data-driven recommendations aligned with company goals. - Strong experience in Product Analytics: funnels, cohorts, retention, LTV, churn, segmentation. - Hands-on experience with event analytics tools: Mixpanel, GA4, Amplitude, or similar - Advanced SQL - Experience with popular BI tools such as Tableau, Looker, or similar - Experience in subscription business - Hands-on experience analyzing payment and subscription data, including checkout conversion, payment approval rates, renewals, failed payments, refunds, and chargebacks. - Ability to adapt quickly, learn new tools and methods efficiently, and work effectively in a high-pressure, fast-changing environment - Strong spoken and written English NICE TO HAVES - Experience in Marketing Analytics - Experience with Python, R - Experience with GCP, BigQuery - Experience with Google Ads, Facebook Ads etc - Experience with orchestration frameworks such as Airflow, dbt - Experience with git and code review process LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

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: Paris; Amsterdam; Munich; London; Berlin Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. THE ROLE This is a people-leadership role from day one. You will manage the team — hiring, coaching, performance, growth paths, honest feedback — while staying close to the code: roughly half your time in architecture decisions and the hardest technical problems the team faces, the other half leading your squad. If you are looking for a senior IC role, this is not it. You will lead the team building our serverless containers product: the way developers run AI apps, MCP servers, APIs, and managed workers on our cloud without thinking about servers. Push a container, get an endpoint, scale from zero to thousands of instances and back down — across CPU and GPU. On a hyperscaler, the serverless layer is a product someone else built. Here you own it end to end: the scheduler that decides where a container lands, the routing path a request takes, the machinery that turns a scaled-to-zero service into a warm instance before a customer notices. All of it runs on metal, network, and datacenters we own. That tension is the product: scale-to-zero economics with cold starts in milliseconds, autoscaling that absorbs a launch spike without a config change, GPUs scheduled onto containers the way other platforms schedule CPU. The customers betting on this layer are the developers building the next generation of AI software on European infrastructure. WHAT YOU WILL DO - Own the container platform end to end: image delivery, placement, request routing, scale-up, scale-to-zero — across CPU and GPU. - Make cold starts a solved problem: snapshotting, prewarming, image-layer caching, whatever it takes for scale-from-zero to feel instant. - Treat AI workloads as the normal case: GPU-backed containers, streaming responses, long-lived connections, MCP servers that cost almost nothing while idle. - Write Go alongside your team and own the architecture and the hardest implementation decisions. - Grow the engineers, not just the software — set the standard for ownership and coach people past their comfort zone. - Own people management for the team: hiring, performance, growth paths, and honest feedback. - Partner with Product Managers to turn platform decisions into a product developers want to deploy on. WHAT WE'RE LOOKING FOR - 3+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write. - You have shipped production systems in Go. Not dabbled. Shipped. - You have built container or workload platforms — orchestration, scheduling, isolation, request routing — not just deployed onto someone else's serverless platform. - Deep Linux: namespaces, cgroups, image layers, page cache — comfortable well below the application layer. - Multi-tenancy instincts: density, isolation, and fairness when hundreds of customers share one fleet. - Significant experience building complex backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: 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.