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Location: Dubai, United Arab Emirates (UAE) Workplace: Remote ABOUT PAVE BANK Welcome to Pave Bank, where we’re not just redefining banking—we’re shaping the future of global institutional finance. Inspired by leading fintech innovators and powered by a technology-first approach, we deliver smarter, faster, and more accessible banking, treasury, FX, and digital asset solutions to sophisticated institutions worldwide. With hubs in Singapore and Tbilisi, we combine the agility of a startup with the rigor and reliability of a regulated financial institution. Our mission is to simplify complex cross-border operations, enabling exchanges, funds, fintechs, and corporates to unlock growth and seize new opportunities. Our culture thrives on collaboration, commercial ingenuity, and a passion for solving the toughest institutional challenges. Joining Pave Bank means shaping global banking solutions, closing transformative deals, and making a tangible impact in a fast-moving, high-stakes environment. Together, we’re paving the way for the next generation of institutional finance. ABOUT THE ROLE The ideal candidate will be a high-calibre institutional sales professional responsible for driving Pave Bank’s institutional growth and contributing to commercial strategy. You will lead the full institutional sales lifecycle - originating and closing high-value opportunities, structuring complex multi-currency and digital asset solutions, and deepening relationships with exchanges, OTC desks, payment institutions, funds, fintechs, and corporates. Working closely with senior leadership, you will ensure institutional insights inform commercial priorities and collaborate with product, treasury, and engineering teams to deliver scalable solutions for sophisticated, high-volume clients. The role will also help lay the foundation for future team development as Pave Bank scales. KEY RESPONSIBILITIES - Drive institutional adoption of Pave Bank’s multi-currency banking, FX, settlement, digital asset, and treasury capabilities. - Lead and close complex, high-value institutional opportunities across exchanges, OTC desks, payment institutions, funds, and fintechs. - Structure multi-entity and cross-border solutions, including settlement, liquidity, and custody workflows. - Develop commercial proposals, pricing structures, and revenue models that support Pave Bank’s growth strategy. - Translate sophisticated institutional requirements into scalable banking and digital asset solutions in collaboration with product, treasury, and engineering teams. - Shape client strategy through market mapping, institutional insights, and expansion opportunities across key verticals. - Contribute to commercial playbooks, sales methodologies, and scalable processes as the bank grows. - Support development of junior talent and future team scale as the organisation expands. EXPERIENCE - 10 to 15 years of enterprise sales or institutional coverage in banking, payments, fintech, or digital assets. - Proven ability to originate and close complex, high-value institutional accounts. - Strong understanding of cross-border settlement, treasury flows, liquidity structures, custody frameworks, and digital asset operations. - Strong financial, commercial, and pricing skills. - Comfortable operating in a fast-moving, scaling banking environment.

Location: London, United Kingdom Workplace: Remote ABOUT PAVE BANK Welcome to Pave Bank, where we’re not just redefining banking—we’re shaping the future of global institutional finance. Inspired by leading fintech innovators and powered by a technology-first approach, we deliver smarter, faster, and more accessible banking, treasury, FX, and digital asset solutions to sophisticated institutions worldwide. With hubs in Singapore and Tbilisi, we combine the agility of a startup with the rigor and reliability of a regulated financial institution. Our mission is to simplify complex cross-border operations, enabling exchanges, funds, fintechs, and corporates to unlock growth and seize new opportunities. Our culture thrives on collaboration, commercial ingenuity, and a passion for solving the toughest institutional challenges. Joining Pave Bank means shaping global banking solutions, closing transformative deals, and making a tangible impact in a fast-moving, high-stakes environment. Together, we’re paving the way for the next generation of institutional finance. ABOUT THE ROLE The ideal candidate will be a high-calibre institutional sales professional responsible for driving Pave Bank’s institutional growth and contributing to commercial strategy. You will lead the full institutional sales lifecycle - originating and closing high-value opportunities, structuring complex multi-currency and digital asset solutions, and deepening relationships with exchanges, OTC desks, payment institutions, funds, fintechs, and corporates. Working closely with senior leadership, you will ensure institutional insights inform commercial priorities and collaborate with product, treasury, and engineering teams to deliver scalable solutions for sophisticated, high-volume clients. The role will also help lay the foundation for future team development as Pave Bank scales. KEY RESPONSIBILITIES - Drive institutional adoption of Pave Bank’s multi-currency banking, FX, settlement, digital asset, and treasury capabilities. - Lead and close complex, high-value institutional opportunities across exchanges, OTC desks, payment institutions, funds, and fintechs. - Structure multi-entity and cross-border solutions, including settlement, liquidity, and custody workflows. - Develop commercial proposals, pricing structures, and revenue models that support Pave Bank’s growth strategy. - Translate sophisticated institutional requirements into scalable banking and digital asset solutions in collaboration with product, treasury, and engineering teams. - Shape client strategy through market mapping, institutional insights, and expansion opportunities across key verticals. - Contribute to commercial playbooks, sales methodologies, and scalable processes as the bank grows. - Support development of junior talent and future team scale as the organisation expands. EXPERIENCE - 10 to 15 years of enterprise sales or institutional coverage in banking, payments, fintech, or digital assets. - Proven ability to originate and close complex, high-value institutional accounts. - Strong understanding of cross-border settlement, treasury flows, liquidity structures, custody frameworks, and digital asset operations. - Strong financial, commercial, and pricing skills. - Comfortable operating in a fast-moving, scaling banking environment.

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

Location: 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: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ABOUT THE GROWTH TEAM Growth Marketing at Alan covers a broad range of opportunities, including acquisition, segment and market growth, partnerships, content, experimentation, and international expansion. We are looking for adaptable marketers who can take ownership of a defined growth problem, learn quickly, and evolve as our priorities change. Concretely, our team works on missions such as: - Shape and scale the go-to-market of Prévenir, the new occupational health service operated by Alan - Crafting the go-to-market strategy for our different segments (e.g. retirees, freelancers, companies,...) - Developing our channels: scaling paid acquisition or growing our strategic partnerships, our referral strategy   YOUR MISSION As a Senior Growth Marketer, you will own broad and strategically important Growth outcomes. You will challenge the initial framing, make high-impact choices, and build scalable ways of working across teams, segments, or markets. WHAT YOU WILL DO - Own broad and strategically important Growth outcomes. - Challenge the initial framing of complex problems and identify the highest-leverage opportunities. - Connect Growth decisions to company objectives, market strategy, and long-term business impact. - Make explicit choices about where the organisation should and should not invest. - Build repeatable systems for insight, experimentation, measurement, and execution. - Influence senior stakeholders across teams, markets, and functions. - Anticipate second-order effects and create leverage beyond your own execution. - Raise the quality of Growth thinking and execution across the team. WHAT WE ARE LOOKING FOR - A strong track record of owning broad or strategically important Growth outcomes. - Experience making complex trade-offs across business priorities and stakeholder groups. - Ability to challenge the framing of a problem and identify systemic constraints. - Strong business judgment, including an understanding of economics, measurement, and long-term impact. - Experience building scalable systems, standards, or ways of working. - Ability to influence senior stakeholders without relying on formal authority. - Strong learning agility and comfort operating in complex, ambiguous environments. - Ability to create leverage beyond your individual execution and raise the quality of the surrounding team. - Advanced written and verbal communication skills in English For this opportunity, we are aiming to hire within the D-E level range https://app.notion.com/p/alaninsurance/Compensation-Alan-9a9fcf8b0cdf497a9c0ac89a11f048a3. 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP

Location: Georgia - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Mission We are looking for a true leader who will manage DevOps and Infrastructure teams to improve, and maintain the technical infrastructure required to support the development, deployment, and operation of Smartcat. This includes ensuring the availability, scalability, and reliability of staging and production environments, and defining and enforcing best SRE and DevOps practices. Outcomes Zero Incorrect Release-Related Production Issues: Enforce rigorous CI/CD testing and reviews to eliminate release errors. CI/CD and Staging Servers Availability at 99.9%: Maintain robust staging infrastructure with minimal downtime, ensuring a 99.9% uptime. Product Availability at 99.99%: Implement resilient systems and procedures for near-perfect product uptime, with effective disaster recovery plans. Decrease Lead time by accelerating CI/CD pipelines and environments Build and manage a team of A+ players within the engineering organisation across different regions and time zones. You are expected to strengthen the hiring process, provide expert technical guidance, effective coaching, and career development for your team members Requirements 3 years of experience leading a team in a fast-growing multinational IT business; 5 years of experience in DevOps and SRE, maintaining high-RPS (Requests Per Second) distributed products; Utilize a data-driven approach. Ability to justify decisions using concrete metrics; Can build relationships with neighboring teams, initiate and adhere to agreements, and act as an interface between your team and the environment; Strong hands-on experience with DevOps practices (in a leading role), specifically in building complex CI/CD pipelines, implementing IaC (Infrastructure as Code), and realizing various deployment strategies; Experience in implementing secure development environments; Possess practical experience in developing and maintaining large scalable applications in the cloud (AWS, Azure, GCP); Tech Stack .Net Core, MongoDB, Vue 2/3, AWS, Kafka, ES, Gitlab CI, Prometheus, Victoria Metrics, Jaeger, k8s Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Portugal - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Mission We are looking for a true leader who will manage DevOps and Infrastructure teams to improve, and maintain the technical infrastructure required to support the development, deployment, and operation of Smartcat. This includes ensuring the availability, scalability, and reliability of staging and production environments, and defining and enforcing best SRE and DevOps practices. Outcomes Zero Incorrect Release-Related Production Issues: Enforce rigorous CI/CD testing and reviews to eliminate release errors. CI/CD and Staging Servers Availability at 99.9%: Maintain robust staging infrastructure with minimal downtime, ensuring a 99.9% uptime. Product Availability at 99.99%: Implement resilient systems and procedures for near-perfect product uptime, with effective disaster recovery plans. Decrease Lead time by accelerating CI/CD pipelines and environments Build and manage a team of A+ players within the engineering organisation across different regions and time zones. You are expected to strengthen the hiring process, provide expert technical guidance, effective coaching, and career development for your team members Requirements 3 years of experience leading a team in a fast-growing multinational IT business; 5 years of experience in DevOps and SRE, maintaining high-RPS (Requests Per Second) distributed products; Utilize a data-driven approach. Ability to justify decisions using concrete metrics; Can build relationships with neighboring teams, initiate and adhere to agreements, and act as an interface between your team and the environment; Strong hands-on experience with DevOps practices (in a leading role), specifically in building complex CI/CD pipelines, implementing IaC (Infrastructure as Code), and realizing various deployment strategies; Experience in implementing secure development environments; Possess practical experience in developing and maintaining large scalable applications in the cloud (AWS, Azure, GCP); Tech Stack .Net Core, MongoDB, Vue 2/3, AWS, Kafka, ES, Gitlab CI, Prometheus, Victoria Metrics, Jaeger, k8s Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: London; Barcelona Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. You'll join the Issuing Operations team in London and own the technical side of card issuing deals from first conversation to go-live. Pre-sale, you're front and centre: positioning our issuing platform, building custom card program flows, live demos, and POCs, and winning over the prospect's engineers, product leads, and payments architects while your Account Executive drives the commercial thread. Once the deal is ready, the weight shifts: our Implementation Engineers lead the build and you stay close, ensuring your issuing card program survives contact with reality. You'll work on a modern, fast-moving platform alongside passionate payments experts across commercial and operations teams. People who do well here are curious by default: they pull threads, teach themselves what the job needs next, and thrive in fast-paced commercial environments where they act before anyone asks. If that's how you work, you'll like it here. WHAT YOU WILL BE DOING - Drive Technical Deal Execution: Partner closely with Sales and Account Managers and the broader Issuing Operations team in high-velocity, high-stakes commercial environments to position Checkout.com http://Checkout.com’s card issuing platform, winning complex, multi-product deals. - Architect Card Issuing Solutions: Understand client requirements across card issuing (virtual and physical cards, funding approaches, balance management, interchange economics as examples) and map them to our APIs and operational workflows to create robust solution designs. - Build & Demonstrate: Run live technical demos, create POCs, and customise technical presentations for developer, operational, and executive audiences alike. - Provide Issuing Domain Leadership: Act as an expert on Card Issuing, Program Management, Authorisation & Settlement streams, Network Tokenisation, 3DS, Fraud/Risk Controls, and card program operations. - Lead Client Technical Interactions: Lead all technical discussions, from discovery calls and architecture workshops to operational readiness sessions, from first contact through go-live, collaborating closely with Implementation Engineers. - Support Complex Procurement (RFPs/RFIs): Support the BID management team on technical, operational, security, and card program design queries in RFP and RFI responses. - Voice of the Customer & Operational Feedback: Feed real-world program manager and developer feedback back to Product, Engineering, and Issuing Operations to champion card issuing feature enhancements and process improvements. - Industry & Technical Mastery: Maintain deep expertise on Checkout.com http://Checkout.com’s issuing platform and stay ahead of evolving card scheme rules, issuing infrastructure, and European payment regulations. - Full Lifecycle Technical Ownership: Equally comfortable wearing the hat of a pre-sales Solutions Engineer to win complex deals, and driving post-launch technical support, operational health, and incident resolution in production environments, fully owning the 360-degree client relationship from initial discovery through long-term delivery. ABOUT YOU EXPERIENCE - 5+ years in a high-velocity, client-facing technical role (Sales Engineer, Solutions Architect, Pre-Sales Consultant, Implementation Engineer, or Technical Account Manager) at a PSP, Card Issuer / Issuer, Processor, Fintech, or Payments company. - Proven track record operating directly in fast-paced commercial environments, managing competing deal priorities, and driving commercial momentum alongside sales and operations teams. - Mandatory UK & EEA Issuing Experience: Hands-on experience designing, launching, or supporting virtual and physical card programs within the UK and EEA regulatory and scheme landscapes. - Issuing Domain Knowledge: Expert understanding of card program mechanics, BIN ranges, issuer processing, and scheme compliance (Visa/Mastercard). - Payment Foundations: Strong grasp of end-to-end payment flows, 3DS, Network Tokenisation, Apple/Google Pay, Strong Customer Authentication (SCA), and fraud engine mechanics. TECHNICAL SKILLS - Coding Ability: You can code and are comfortable with web technologies. Proficiency in at least one front-end (JavaScript, React) or back-end language (Node.js, Python, Java, .NET, Go). - API & Debugging Mastery: Expert in API-based integrations (REST/JSON, Postman, Webhooks); able to build, reproduce, isolate, and explain technical issues using logs, API responses, and test environments. HOW YOU WORK - Exceptional Communicator: Clear written and verbal English; equally at home pitching to CTOs and lead architects as you are detailing unit economics and operational flows to CFOs, Operations leads, and C-level stakeholders. - Commercially Minded: You talk interchange, authorization rates, card program economics, and revenue impact, not just API endpoints, and proactively push opportunities through the sales funnel. - Highly Organised: Thrives under pressure with the ability to prioritise shifting workloads in a fast-moving, deal-driven environment. NICE TO HAVE - Global Issuing Experience: Exposure to launching card programs in global jurisdictions outside the UK/EEA (e.g., US, APAC, LATAM, MENA). - Background: Former software engineering, developer advocacy, or technical product management background. - Languages: Business fluency in an additional European language. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Sydney, Australia About Blue Projects Blue Projects is a full service Design, Engineering, Project Management and Construction Management company with international experience delivering complex greenfield and brownfield developments for global blue-chip clients across retail, commercial and industrial sectors. We operate with a flexible, client focused approach, applying lean design and lean construction methodologies to ensure seamless cross discipline interface management and consistent quality. With a presence in 53+ countries and 26 offices, our teams have successfully delivered 500+ projects totaling more than €8 billion in value—combining hands on ownership with a culture that prizes safety, down to earth collaboration, and being “always deliver & pleasant to work with.” Deliver here. Grow here. We are seeking a hands-on Maintenance Fitter / Tradesperson for a site-based role at a busy food manufacturing facility in Sydney, NSW. You will support safe and reliable plant operations through planned preventive maintenance, breakdown repairs, corrective work and practical site improvements, working independently or as part of the maintenance team. Role Overview This role is based at a multi-storey food manufacturing site in NSW, with an anticipated start in early 2027 and engagement through Blue Projects. The work is varied and dynamic, moving between planned maintenance, reactive repairs, improvement tasks and general facility maintenance. The successful candidate will be a self-starter who takes ownership of each job and completes work safely and to a high standard without close supervision. Job Description Change pumps, mechanical seals and associated equipment. Install, run and modify pipework. Identify faults and complete mechanical repairs. Complete preventive maintenance and corrective PM02 work orders for the maintenance teams. Respond to equipment breakdowns and routine site maintenance requests. Carry out general maintenance and handyman tasks throughout the facility. Work safely at heights and across multiple levels of the plant. Follow site Good Manufacturing Practice, food safety and workplace safety requirements on every job, including permits and risk assessments. Leave all work areas clean, safe and ready for production. Qualifications Trade-qualified fitter or equivalent tradesperson with strong site experience. Self-motivated and able to take ownership of work from start to completion. Comfortable working independently and equally effective as part of a team. Willing to undertake challenging jobs and work overtime when required. Strong safety mindset with an understanding of Good Manufacturing Practice in a food manufacturing environment. Confident and competent when working at heights. Practical, adaptable and able to move between planned and reactive work. Reliable, punctual and well presented. Current working at heights ticket is required. Confined space, elevated work platform for scissor and boom lifts, and forklift tickets are well regarded. Previous experience in food manufacturing or another Good Manufacturing Practice-regulated site is advantageous. Completion of the site induction and compliance with all site safety, hygiene and personal protective equipment requirements are required. Additional Information Career growth & well being At Blue Projects, you’ll join a smart, open and communicative team with access to Online Learning Platforms, psychological and well being services, and an Employee Assistance Program. Benefits (country specific) Business health insurance coverage, access to sports and relaxation services, and performance based annual bonus; role appropriate equipment such as laptop, mobile phone, and data plan. Global mobility Opportunities for international assignments aligned to our Global Mobility Policy, with clear, equitable and standardized terms and conditions for short and long term engagements. Our culture We value safety, integrity, flexibility, and being great partners to our clients—operating with hands on ownership and a down to earth, high performance mindset. Inclusion & Equal Opportunity Blue Projects is committed to inclusion, dignity and respect, with zero tolerance for bullying, harassment or discrimination. We provide impartial support mechanisms and clear procedures to ensure a respectful workplace for all colleagues, contractors and agency workers. GDPR & confidentiality By applying, you consent to the use of your personal data strictly for recruitment purposes, in accordance with our GDPR practices; access is limited to authorized staff and handled confidentially. ________________________________________________________________________ About Blue Projects Formed in Romania in 2007, Blue Projects brings together dedicated and experienced engineers, architects and project managers with a track record of delivering complex, fast track developments worldwide. Our brand personality is dynamic and client oriented, focused on creating a memorable, meaningful and contemporary impact—supported by consistent standards and identity. ________________________________________________________________________ How to apply Please submit your CV. Shortlisted candidates will be contacted to discuss next steps.

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: Cyprus Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Latvia; Serbia; Poland; Georgia; Remote - Slovakia; Remote — Romania; Europe; Lithuania; Ukraine; Estonia; Limassol; Slovenia Workplace: Remote REMOTE | EUROPE (CET/EET ±2H) | B2B CONTRACT | REPORTS TO THE CEO About the company Our client is an established, profitable fintech operating at the intersection of crypto and traditional payments. It runs a consumer on/off-ramp platform and a fast-growing B2B infrastructure business: APIs and white-label solutions that let exchanges, neobanks, PSPs, wallets and other platforms embed regulated crypto and fiat services. The company is authorised under MiCA and PSD2 in the EU and is actively expanding its licence footprint, including e-money authorisations in Europe and the UK. The culture is owner-led, high-ownership and low-bureaucracy: decisions are made quickly and close to the founders. About the role This is a senior, hands-on leadership role. You will be the company’s Head of Risk, a member of the leadership team reporting directly to the CEO. The function starts as a one-person department and may grow as it matures. A foundation already exists: a risk register, risk appetite statement, DORA vendor risk work, and governance drafts. Your mission is to turn it into a proactive, decision-oriented risk function. That means bringing risk to leadership before it becomes a problem, and being a fast, credible partner to the commercial and product teams rather than a bottleneck. What you will own - Enterprise risk framework: risk taxonomy, risk appetite and tolerances, risk register, escalation policy and the three-lines-of-defence model. - Risk reporting: regular risk dashboards for the CEO and leadership, board/committee reporting, and risk-related regulatory reporting. - DORA: ICT risk management, incident classification and reporting, third-party ICT risk and the Register of Information, with a hard regulatory deadline ahead. - Licensing: operational risk, capital adequacy, liquidity and safeguarding frameworks for new e-money authorisations in parallel jurisdictions. - B2B partner and counterparty risk: onboarding risk scoring, risk-tiered monitoring, risk sign-off on material partnerships, and concentration risk. - Financial and market risk, jointly with Finance: crypto price exposure, settlement and liquidity risk, counterparty exposure to liquidity providers and banking partners, and capital adequacy monitoring. - Operational resilience: business continuity, disaster recovery, vendor risk and major incident reporting. - Fraud risk appetite: acceptable loss rates by channel, product and geography, unified across the teams that currently share it. - Product risk: risk assessment and launch gating for new products and markets, involved early rather than at the finish line. - Risk governance and culture: running the risk committee and building risk ownership across business units. What we are looking for - 8-10+ years in financial services or fintech risk, including at least 3–4 years at a senior risk leadership level (Head of Risk, VP Risk, or equivalent). A CRO title is not required, but ownership at that level is. - Direct experience in a regulated fintech, payment institution, EMI, PSP, or crypto business. Comfort with pace and lean structures is essential. - Hands-on experience with at least one of: DORA ICT risk, MiCA (CASP) risk requirements, or PSD2 payment institution operational and security risk. UK FCA operational resilience experience is a strong equivalent. - A clear track record of owning risk outcomes, not only advising on them. - The ability to give a clear risk position and recommendation under incomplete information, and to hold that position under pressure from senior stakeholders. - The ability to communicate risk in business language, in terms of impact, cost and options. - Fluent professional English and Russian language. Nice to have - Previous Head of Risk / CRO role at a regulated fintech, EMI, PSP or crypto company. - Experience building a risk function from scratch in a scaling business. - Experience with crypto custody risk, MiCA capital requirements, or Travel Rule implementation. - Third-party / vendor risk management at scale, especially in B2B or embedded-finance models. - Experience chairing a risk committee or reporting to a board. - FRM, PRM, or a comparable qualification. What’s on offer - A seat on the leadership team and direct access to the founders. - Real ownership: you shape the risk function and its role in the business. - A remote-first setup, with periodic in-person time at the European HQ. - Long-term B2B contract with performance- and OKR-linked bonus. - 20 paid working days off per year, paid sick leave, health insurance, a professional development budget, and team events.

Location: Kuala Lumpur, Malaysia; Indonesia; Singapore Workplace: fully We're Osome - an international fintech startup making the lives of entrepreneurs easier. We help thousands of businesses kick admin, accounting and bookkeeping out of their day-to-day, so they can spend more time on what's important to them. We've developed a unique solution that combines SaaS with a human-in-the-loop approach to provide full-fledged services in real-time. We’re experiencing rapid growth in both client base and team, which now comprises around 500 people across our offices worldwide. As we continue to scale, we’re looking for more bright minds who are excited to make a real impact by solving complex problems. What to expect: Intelligence builds the AI capabilities no single team at Osome should carry alone, and helps every other team ship AI well. It works in three modes. It owns cross-cutting capability. It enables product teams by pairing with their engineers, so the pattern transfers and the team runs it afterwards. It incubates only by exception: building inside another team's area when that team has no capacity, always with a written hand-back plan. This is a hands-on PM role. You'll find problems by talking to end users, dig into the data in BigQuery and Postgres to prioritise, prototype cheaply before committing engineering effort, and ship small fixes yourself. You'll also be the team's main liaison with Operations. At a glance You'd own: client and agent assistants (e.g. Maria, our client-facing bot, and the workflows it runs), document and accounting intelligence (e.g. document recognition, AI accounts review, our XBRL agent), and the shared AI foundation (evaluation and safety, memory, Osome MCP and model choices). You'd work with: five engineers, plus shared design and an analyst. Product teams across Osome and our operations teams are your customers. The problem to solve: AI is spreading across our teams faster than shared standards are. Your job is to stop every team reinventing evaluation, safety and memory, while our core AI products keep improving quarter on quarter. What you'll do: Own the Intelligence roadmap, OKRs and delivery, with two or three big bets each quarter. You make the prioritisation calls, own the business outcome behind the backlog, and write the release notes when things ship. Set the evaluation bar for AI across Osome: eval datasets, confidence thresholds, human-review sampling and go/no-go gates. With our Security team, set the safety and data-handling bar for AI across Osome: escalation rules, pre-action checks on agents, fail-open vs fail-closed behaviour, privacy and retention, client data isolation, and provider governance (e.g. zero data retention agreements). Define the success metrics for each AI product before it ships, then keep checking the data yourself after launch to see whether it's working. Brief the analyst on what to build, and review the result. Use that evidence to make model and provider calls, e.g. benchmark a new model against our own labelled documents before switching. Break epics into clear stories and tasks that engineers can pick up without a meeting. Pair with product teams' engineers to build AI features, and define what "successfully handed over" means. Be the team's liaison with Operations: run training and feedback rounds, collect baseline data, and drive adoption until the AI version beats the manual process. Run a small research track: test new techniques and approaches (e.g. retrieval, memory or agent patterns) on our own problems, and write up what we should adopt and what we should skip. Represent this team's priorities to senior stakeholders. As the team grows, mentor other PMs and help manage them. Who you are: Evaluated against our PM capability framework. At the Senior PM level, that means: Strategic impact: you can define and drive a strategy spanning 12 months or more for a platform-style team whose customers are other teams, tied to a company-level goal such as gross margin. Domain ownership: you own the OKRs, roadmap and business outcome of a complex, ambiguous, cross-functional area. You understand applied LLM/ML products deeply (evaluation, retrieval, memory, agent safety), and can become credible in our accounting and operations domain within two quarters. Collaboration: you drive high adoption of new tools with operations teams, including the processes needed to run them. You build consensus among senior leaders with conflicting goals, and you can say no while leaving the stakeholder feeling heard. Problem-solving: you map ambiguous, system-level problems, and know when a rule, a classifier or an LLM is the right tool. Execution: you reliably ship complex, cross-functional launches involving Operations and other product teams. You prototype to de-risk before committing engineering time, and you spot risks early. AI-literacy: hands-on well beyond prompting. You build prototypes and ship small PRs with AI coding tools, build eval datasets and run model experiments, read traces, and judge where models fail. Leadership: you shape direction across teams you don't manage, improve how the team works, and are ready to mentor at least one other PM as a player-coach. What you bring AI/ML features shipped to production, with quality measured after launch (accuracy, coverage, deflection). Experience building evaluation datasets and running model experiments: thresholds, go/no-go gates, human-in-the-loop decisions, and reading traces in an observability tool (we use Langfuse) to see where models fail. Experience shipping AI features that handle sensitive or financial data, and deciding when they should escalate to a human or stop. Daily use of AI coding tools (e.g. Claude Code, Codex, Cursor) to read code and ship small changes. Strong SQL. You can pick the right metrics for a product and explain what you need to an analyst. Data modelling is not required. Experience working directly with operations teams: running training, collecting feedback, and proving time saved against a manual baseline. A track record of good calls under ambiguity, and of checking afterwards whether they were right. (Nice to have) Setting company-wide safety and data-handling rules for AI: fail-open vs fail-closed policies, privacy and retention, and client data isolation, including knowing when a new AI vendor needs a security review before it sees any data. (Nice to have) Bookkeeping or accounting literacy: enough double-entry, chart-of-accounts and GST/VAT knowledge to judge whether an AI accounts review or document check is right. Either a qualification or hands-on bookkeeping experience counts. (Nice to have) Document AI/OCR in production: classifying or extracting invoices, bank statements and receipts, and the trade-offs between coverage, accuracy, confidence thresholds and cost. (Nice to have) Agentic systems or MCP in production: agents or tools that take real actions, with permissions, human approval steps and multi-step evaluation. Our Benefits Multi-cultural environment to enhance your global perspective. Learning opportunities and mentorship from peers and leaders. Flexible working arrangement; Hybrid working arrangement An agile working model focused on goals and performance. Equal Opportunity Statement At OSOME, creating a culture where individuals of all backgrounds feel comfortable really matters. Everyone who applies will receive fair consideration for employment. We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. We want to ensure that we represent the diversity of talent in the society we live in today. If you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know so that we can support you.

Location: Poland Workplace: remote Creatio is one of the fastest-growing AI software companies, with quarterly bookings reaching 255% of prior-year results, reflecting strong enterprise demand for AI CRM and workflow automation.With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a  Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for a Regional Marketing Manager, you’ll act as the primary driver to execute integrated marketing campaigns that support the various business goals identified in our annual operating plan. You will be responsible for ideating, facilitating, and executing campaigns that drive demand generation and increase brand recognition for our market-leading technology solutions You should be a strong team player with excellent communication skills, eager to learn and grow, and ready to make an impact from day one. Most importantly, we’re looking for individuals who share our values, believe in collaboration, and want to be part of a workplace where creativity, accountability, and ambition are celebrated.The role is based in Warsaw, Poland.Responsibilities:Planning, creating and executing high-performing marketing programs.Support and align with the sales team’s priorities and focus on driving pipeline.Understand and deploy different strategies and plans to reach new prospects and drive opportunities expansion.Orchestrate multichannel campaigns, leveraging channels and tactics such as digital, social media, web, virtual and in-person events, external exhibitions, email and collaboration with 3rd party agencies. Also, support and execute account-based strategies and programs.Plan, coordinate, and deliver complex marketing initiatives, ensuring effective cross-functional collaboration to achieve business objectives.Set goals and define metrics for each marketing campaign, including lead generation, conversion rates, and pipeline impact.Track and analyze campaign performance, conduct post-campaign evaluations, and provide insights and recommendations to continuously optimize future marketing initiatives.Requirements:3+ years of B2B marketing experience.Fluency in written and conversational English.Strong campaign orchestration and experience working with cross-functional teamsHands-on experience prioritizing running multiple initiatives, campaigns, and deliverables simultaneously.Self-motivated, who can work independently and proactively to resolve issues and take ownership of tools and processes with minimal supervision.It would be a big plus if you have:Marketing experience in SaaS or enterprise software.Experience planning and executing marketing initiatives around large-scale industry conferences and external events.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

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.