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Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the team Deliveroo connects millions of consumers with the restaurants and brands they love. Our Integrated Marketing team sits at the heart of how we bring those relationships to life — combining customer insight, commercial opportunity and creativity to drive growth for Deliveroo and our partners. Within Central Integrated Marketing, the Merchant & Ads team sets the global strategy for how we partner with merchants to help them grow on our marketplace and create compelling reasons for consumers to choose Deliveroo. This is an opportunity to shape Deliveroo’s global approach to merchant partnerships, building high-impact collaborations with some of the world’s most recognised and loved brands. This will be a hybrid role - working 3 days a week from our London HQ. About the role Owns the New Verticals merchant and ads marketing strategy end to end, reporting into the Merchant & Ads Integrated Marketing Director. Responsible for the creation and deployment of New Verticals merchant marketing playbooks across co marketing, promotions, and ads. Responsible for the creation and deployment of the New Verticals sell in strategy and associated sell in materials for adoption by local teams. Supports local marketing teams with key enterprise merchant relationships at the global level, and supports local New Verticals marketing initiatives. What you'll be doing Ads & Monetization Strategy Own the New Verticals specific ads and monetization strategy across owned and external surfaces, feeding into the global monetization strategy. Lead pricing, packaging, and investment decisions for merchant advertising in your category, in partnership with Commercial and Finance. Category Playbook: New Verticals Own and evolve the New Verticals merchant marketing playbook, setting how co marketing, promotions, and advertising work for grocery and retail merchants globally. Lead change initiatives that improve how New Verticals merchant marketing works, bringing Local Integrated Marketing and Functional Marketing along with you. Key Merchant Relationship Management Support local marketing teams with key enterprise merchant relationships at the global level, and support delivery of priority New Verticals marketing initiatives with those merchants. Act as the senior escalation point for merchant issues that cross multiple markets or functions. Cross Functional Stakeholder Management Serve as the primary marketing partner to Merchant S&O and Commercial for New Verticals, translating category priorities into marketing and ads strategy. Represent New Verticals in cross functional forums, shaping the roadmap for merchant facing and ads facing surfaces. Sell In Strategy & Sales Enablement Own the sell-in strategy for New Verticals merchant and ads programmes, defining how Commercial and Local teams pitch these programmes to merchants. Oversee the sell in materials, case studies, and proof points for New Verticals, using performance data to continuously refine them. Central Strategy & Market Coordination Own delivery of the New Verticals merchant marketing goals, coordinating a consistent strategy across all Deliveroo markets. Report on New Verticals merchant and ads marketing performance to senior stakeholders, own specific business metrics, and lead course correction when needed. Requirements 7+ years of marketing experience, ideally including merchant marketing, retail media, ads, or category marketing in a consumer or marketplace business. Track record of owning the marketing strategy for an entire team or category, and resolving complex delivery challenges that span multiple teams or functions. Experience managing people, and comfortable managing other people managers as your team grows. Strong commercial acumen, seen as a go to expert for merchant or ads marketing, using business and financial data to make sound decisions in ambiguous situations. Confident communicator, able to present complex ideas to large groups and flex your style for directors and department leadership. Skilled at establishing and owning cross functional partnerships, using relationships and creative thinking to work through conflict. Proven ability to lead change initiatives that improve how a team or category works, bringing others along with you. Excellent written and verbal communication skills, with the ability to synthesise complex, cross functional inputs into a clear plan and narrative. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Scale The Function: Lead, coach, and develop a high-caliber SE team, providing guidance, assigning projects and ensuring technical excellence. Conduct regular performance evaluations, foster professional growth, and coach team members to reach their full potential. - Player-Coach: Be a true player-coach who stays in the work: own your own enterprise deals as an individual contributor, running discovery, demos, and technical deep dives alongside your team, while leading and growing a team of high-growth enterprise SEs. Set the bar by example, jump into the most strategic cycles, and turn what you learn in the field into coaching and playbooks that raise the whole team. As the team grows, become a strategic leader and more manager focused. - GTM Technical Expert: Guide your team in designing and delivering compelling technical demos and proofs of concept for Sierra’s platform, providing technical solutions to customer challenges, and addressing technical questions throughout the sales cycle. - Cross-Functional Work: Partner closely with Sales, Product, and Agent Engineering teams to define best practices, playbooks, and repeatable processes that enable your team and partnership to scale beyond 1:1 customer interactions. - Lead & Support Customers: Act as a technical leader in early-stage customer conversations, helping your team understand, anticipate, and solve customer needs to advance Sierra’s industry-leading AI solutions. WHAT YOU'LL BRING - 5-7+ years of experience in Sales Engineering, Solutions Engineering, or customer-facing technical sales, with at least 3+ years in a leadership capacity. - Experience developing frameworks for how SEs partner with Sales, Product, and Engineering to deliver impact efficiently across accounts. - History of establishing metrics and systems that measure SE impact on pipeline health, win rates, and customer adoption. - Track record of leading presales processes and supporting enterprise and strategic sales cycles from discovery through close. - Ability to translate customer business problems into Sierra’s technical solutions and clearly communicate to both technical and non-technical stakeholders across complex organizations. EVEN BETTER - Experience building Sales Engineering orgs in emerging categories (e.g., AI, data, security). - Comfort with workflows, AI and ML concepts, APIs/webhooks, and JSON. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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

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

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Kit is growing, and so are the legal complexities of our business. We're looking for a Senior Legal Counsel to help us navigate them with clarity, speed, and commercial savvy. You'll serve as in-house legal subject matter expert, partnering closely with the executive team to lead product legal strategy and execution—especially around privacy, data, AI and compliance, commercial contracts, customer security requirements, and scalable legal support for our teams. A key focus will be helping Kit respond to a growing volume of privacy questions—particularly as one of our newer products, Subscriber Signals https://kit.com/features/signals, evolves by building practical, repeatable systems that provide timely and consistent guidance at scale. You'll help shape the legal backbone of a fast-moving tech company with multiple revenue streams—including SaaS, digital commerce, paid reccomendations, and advertising—and a rapidly growing platform for creators. To advise the business effectively, you'll develop a deep understanding of Kit, SparkLoop https://sparkloop.app/, Subscriber Signals, and how creators get value from our connected ecosystem of apps and tools. You'll be at the center of complex, cross-functional problems where product, business, and legal strategy meet—all in service of helping creators build more valuable businesses.   YOUR SUPPORT SYSTEM You'll report to our Chief Operating Officer, Brian Bevel https://www.linkedin.com/in/brian-bevel-92895ba/, and partner regularly with leaders across product, sales, finance, and people operations. You'll own our core legal work in-house, reduce the need for outside counsel, and know when specialized outside counsel is truly needed.   WHAT YOU'LL DO - First week: Get up to speed on our business model, current goals, and products. Learn about the product, SparkLoop, Subscriber Signals, and how creators get value from our connected ecosystem of apps and tools. Meet key internal stakeholders and our external counsel. Review our most common legal agreements, privacy questions, and customer security requests to assess where we have risk, opportunity, ambiguity, or recurring work that can be handled more efficiently. - First month: Get your arms around active data processing, privacy, AI, and other legal initiatives, and build a "what's on deck" view of upcoming legal needs. Map the recurring privacy support questions arising across Kit—particularly around Subscriber Signals, and begin designing a scalable intake, guidance, and escalation system. Partner with Sales, Sponsorships, Security, Product, and Engineering to move faster without cutting corners. Take ownership of GDPR and data compliance vetting and establish a clear process for responding to customer security questionnaires. - First six months: You’re the go-to partner for legal considerations across the business, particularly for our product, engineering, security, and GTM teams. Build scalable systems—such as playbooks, templates, intake processes, and self-service guidance—for answering recurring privacy, data-use, and compliance questions. Partner throughout the product lifecycle on initiatives and feature releases, with particular attention to Subscriber Signals and our connected ecosystem of products. Prioritize our biggest legal risks, reduce unnecessary reliance on outside counsel, and streamline legal workflows to increase speed, confidence, and self-service. - First year: Help Kit operate at a higher level of legal maturity across privacy, compliance, product counsel, commercial contracts, and security support. Establish durable systems that allow teams to answer common questions independently while escalating higher-risk matters appropriately. Help us treat privacy, data, and compliance as strategic enablers—not just boxes to check—and significantly reduce our reliance on outside counsel for work we can handle effectively in-house.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Deep expertise in data, compliance, and product—this is where you'll spend most of your time. - Strong ability to navigate U.S. and European data privacy laws (e.g., GDPR, CCPA), including familiarity with data controller vs. processor distinctions and how they shape vendor and product decisions. - Ability to translate privacy and compliance requirements into scalable playbooks, templates, intake processes, and self-service guidance - Experience supporting customer security questionnaires and partnering effectively with security, sales, product, and engineering teams - Familiarity with SOC 2 Type II and the legal, privacy, and customer requirements associated with it, even if you haven't directly owned a certification process - Understanding of intellectual property law, especially related to brand, content, and software - Understanding of commercial contracts—you'll become the go-to person for these at Kit. - Clear communicator and trusted advisor—able to simplify complexity and help others make informed decisions Experiences - Experience as in-house counsel at a tech company or serving a tech portfolio at a top-tier firm that's well-known for their work with startups (e.g., Fenwick & West, Cooley) - J.D. from an accredited law school in the United States - Active member in good standing of a State Bar Association Traits - Strategic thinker who sees legal as a lever, not a blocker - Deeply curious and business-oriented—you start by understanding the goals, then explore the smartest paths to get there. - Collaborative partner who can navigate conflict productively - Deep belief that creator success is our success—you consider both Kit and our customers in every recommendation - A "how might we" problem-solver who finds creative, business-aligned paths through legal challenges   WHAT WON'T SET YOU UP FOR SUCCESS - Needing a team of in-house peers or co-counsel to pressure-test every decision—you'll be our sole in-house legal expert, with outside counsel available as needed - A strongly risk-averse or "no-before-yes" mindset—we need you to help us move, not just stop us from tripping - Thinking in a legal vacuum—if you're not factoring in our goals, numbers, or creators, your advice won't land - Struggling with speed or ownership—if you prefer long timelines or wait to be told what to do, this won't be the right environment. We move quickly and expect people to take initiative, spot problems, and drive solutions.   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. For this role, we're looking for someone located in the United States.   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. This role is an individual contributor level 4 ($227,000) or 5 ($252,000). Our other perks and benefits include:   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Panel interview with cross functional stakeholders (60 min)   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Kit is growing, and so are the legal complexities of our business. We're looking for a Senior Legal Counsel to help us navigate them with clarity, speed, and commercial savvy. You'll serve as in-house legal subject matter expert, partnering closely with the executive team to lead product legal strategy and execution—especially around privacy, data, AI and compliance, commercial contracts, customer security requirements, and scalable legal support for our teams. A key focus will be helping Kit respond to a growing volume of privacy questions—particularly as one of our newer products, Subscriber Signals https://kit.com/features/signals, evolves by building practical, repeatable systems that provide timely and consistent guidance at scale. You'll help shape the legal backbone of a fast-moving tech company with multiple revenue streams—including SaaS, digital commerce, paid reccomendations, and advertising—and a rapidly growing platform for creators. To advise the business effectively, you'll develop a deep understanding of Kit, SparkLoop https://sparkloop.app/, Subscriber Signals, and how creators get value from our connected ecosystem of apps and tools. You'll be at the center of complex, cross-functional problems where product, business, and legal strategy meet—all in service of helping creators build more valuable businesses.   YOUR SUPPORT SYSTEM You'll report to our Chief Operating Officer, Brian Bevel https://www.linkedin.com/in/brian-bevel-92895ba/, and partner regularly with leaders across product, sales, finance, and people operations. You'll own our core legal work in-house, reduce the need for outside counsel, and know when specialized outside counsel is truly needed.   WHAT YOU'LL DO - First week: Get up to speed on our business model, current goals, and products. Learn about the product, SparkLoop, Subscriber Signals, and how creators get value from our connected ecosystem of apps and tools. Meet key internal stakeholders and our external counsel. Review our most common legal agreements, privacy questions, and customer security requests to assess where we have risk, opportunity, ambiguity, or recurring work that can be handled more efficiently. - First month: Get your arms around active data processing, privacy, AI, and other legal initiatives, and build a "what's on deck" view of upcoming legal needs. Map the recurring privacy support questions arising across Kit—particularly around Subscriber Signals, and begin designing a scalable intake, guidance, and escalation system. Partner with Sales, Sponsorships, Security, Product, and Engineering to move faster without cutting corners. Take ownership of GDPR and data compliance vetting and establish a clear process for responding to customer security questionnaires. - First six months: You’re the go-to partner for legal considerations across the business, particularly for our product, engineering, security, and GTM teams. Build scalable systems—such as playbooks, templates, intake processes, and self-service guidance—for answering recurring privacy, data-use, and compliance questions. Partner throughout the product lifecycle on initiatives and feature releases, with particular attention to Subscriber Signals and our connected ecosystem of products. Prioritize our biggest legal risks, reduce unnecessary reliance on outside counsel, and streamline legal workflows to increase speed, confidence, and self-service. - First year: Help Kit operate at a higher level of legal maturity across privacy, compliance, product counsel, commercial contracts, and security support. Establish durable systems that allow teams to answer common questions independently while escalating higher-risk matters appropriately. Help us treat privacy, data, and compliance as strategic enablers—not just boxes to check—and significantly reduce our reliance on outside counsel for work we can handle effectively in-house.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Deep expertise in data, compliance, and product—this is where you'll spend most of your time. - Strong ability to navigate U.S. and European data privacy laws (e.g., GDPR, CCPA), including familiarity with data controller vs. processor distinctions and how they shape vendor and product decisions. - Ability to translate privacy and compliance requirements into scalable playbooks, templates, intake processes, and self-service guidance - Experience supporting customer security questionnaires and partnering effectively with security, sales, product, and engineering teams - Familiarity with SOC 2 Type II and the legal, privacy, and customer requirements associated with it, even if you haven't directly owned a certification process - Understanding of intellectual property law, especially related to brand, content, and software - Understanding of commercial contracts—you'll become the go-to person for these at Kit. - Clear communicator and trusted advisor—able to simplify complexity and help others make informed decisions Experiences - Experience as in-house counsel at a tech company or serving a tech portfolio at a top-tier firm that's well-known for their work with startups (e.g., Fenwick & West, Cooley) - J.D. from an accredited law school in the United States - Active member in good standing of a State Bar Association Traits - Strategic thinker who sees legal as a lever, not a blocker - Deeply curious and business-oriented—you start by understanding the goals, then explore the smartest paths to get there. - Collaborative partner who can navigate conflict productively - Deep belief that creator success is our success—you consider both Kit and our customers in every recommendation - A "how might we" problem-solver who finds creative, business-aligned paths through legal challenges   WHAT WON'T SET YOU UP FOR SUCCESS - Needing a team of in-house peers or co-counsel to pressure-test every decision—you'll be our sole in-house legal expert, with outside counsel available as needed - A strongly risk-averse or "no-before-yes" mindset—we need you to help us move, not just stop us from tripping - Thinking in a legal vacuum—if you're not factoring in our goals, numbers, or creators, your advice won't land - Struggling with speed or ownership—if you prefer long timelines or wait to be told what to do, this won't be the right environment. We move quickly and expect people to take initiative, spot problems, and drive solutions.   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. For this role, we're looking for someone located in the United States.   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. This role is an individual contributor level 4 ($227,000) or 5 ($252,000). Our other perks and benefits include:   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Panel interview with cross functional stakeholders (60 min)   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Kit is growing, and so are the legal complexities of our business. We're looking for a Senior Legal Counsel to help us navigate them with clarity, speed, and commercial savvy. You'll serve as in-house legal subject matter expert, partnering closely with the executive team to lead product legal strategy and execution—especially around privacy, data, AI and compliance, commercial contracts, customer security requirements, and scalable legal support for our teams. A key focus will be helping Kit respond to a growing volume of privacy questions—particularly as one of our newer products, Subscriber Signals https://kit.com/features/signals, evolves by building practical, repeatable systems that provide timely and consistent guidance at scale. You'll help shape the legal backbone of a fast-moving tech company with multiple revenue streams—including SaaS, digital commerce, paid reccomendations, and advertising—and a rapidly growing platform for creators. To advise the business effectively, you'll develop a deep understanding of Kit, SparkLoop https://sparkloop.app/, Subscriber Signals, and how creators get value from our connected ecosystem of apps and tools. You'll be at the center of complex, cross-functional problems where product, business, and legal strategy meet—all in service of helping creators build more valuable businesses.   YOUR SUPPORT SYSTEM You'll report to our Chief Operating Officer, Brian Bevel https://www.linkedin.com/in/brian-bevel-92895ba/, and partner regularly with leaders across product, sales, finance, and people operations. You'll own our core legal work in-house, reduce the need for outside counsel, and know when specialized outside counsel is truly needed.   WHAT YOU'LL DO - First week: Get up to speed on our business model, current goals, and products. Learn about the product, SparkLoop, Subscriber Signals, and how creators get value from our connected ecosystem of apps and tools. Meet key internal stakeholders and our external counsel. Review our most common legal agreements, privacy questions, and customer security requests to assess where we have risk, opportunity, ambiguity, or recurring work that can be handled more efficiently. - First month: Get your arms around active data processing, privacy, AI, and other legal initiatives, and build a "what's on deck" view of upcoming legal needs. Map the recurring privacy support questions arising across Kit—particularly around Subscriber Signals, and begin designing a scalable intake, guidance, and escalation system. Partner with Sales, Sponsorships, Security, Product, and Engineering to move faster without cutting corners. Take ownership of GDPR and data compliance vetting and establish a clear process for responding to customer security questionnaires. - First six months: You’re the go-to partner for legal considerations across the business, particularly for our product, engineering, security, and GTM teams. Build scalable systems—such as playbooks, templates, intake processes, and self-service guidance—for answering recurring privacy, data-use, and compliance questions. Partner throughout the product lifecycle on initiatives and feature releases, with particular attention to Subscriber Signals and our connected ecosystem of products. Prioritize our biggest legal risks, reduce unnecessary reliance on outside counsel, and streamline legal workflows to increase speed, confidence, and self-service. - First year: Help Kit operate at a higher level of legal maturity across privacy, compliance, product counsel, commercial contracts, and security support. Establish durable systems that allow teams to answer common questions independently while escalating higher-risk matters appropriately. Help us treat privacy, data, and compliance as strategic enablers—not just boxes to check—and significantly reduce our reliance on outside counsel for work we can handle effectively in-house.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Deep expertise in data, compliance, and product—this is where you'll spend most of your time. - Strong ability to navigate U.S. and European data privacy laws (e.g., GDPR, CCPA), including familiarity with data controller vs. processor distinctions and how they shape vendor and product decisions. - Ability to translate privacy and compliance requirements into scalable playbooks, templates, intake processes, and self-service guidance - Experience supporting customer security questionnaires and partnering effectively with security, sales, product, and engineering teams - Familiarity with SOC 2 Type II and the legal, privacy, and customer requirements associated with it, even if you haven't directly owned a certification process - Understanding of intellectual property law, especially related to brand, content, and software - Understanding of commercial contracts—you'll become the go-to person for these at Kit. - Clear communicator and trusted advisor—able to simplify complexity and help others make informed decisions Experiences - Experience as in-house counsel at a tech company or serving a tech portfolio at a top-tier firm that's well-known for their work with startups (e.g., Fenwick & West, Cooley) - J.D. from an accredited law school in the United States - Active member in good standing of a State Bar Association Traits - Strategic thinker who sees legal as a lever, not a blocker - Deeply curious and business-oriented—you start by understanding the goals, then explore the smartest paths to get there. - Collaborative partner who can navigate conflict productively - Deep belief that creator success is our success—you consider both Kit and our customers in every recommendation - A "how might we" problem-solver who finds creative, business-aligned paths through legal challenges   WHAT WON'T SET YOU UP FOR SUCCESS - Needing a team of in-house peers or co-counsel to pressure-test every decision—you'll be our sole in-house legal expert, with outside counsel available as needed - A strongly risk-averse or "no-before-yes" mindset—we need you to help us move, not just stop us from tripping - Thinking in a legal vacuum—if you're not factoring in our goals, numbers, or creators, your advice won't land - Struggling with speed or ownership—if you prefer long timelines or wait to be told what to do, this won't be the right environment. We move quickly and expect people to take initiative, spot problems, and drive solutions.   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. For this role, we're looking for someone located in the United States.   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. This role is an individual contributor level 4 ($227,000) or 5 ($252,000). Our other perks and benefits include:   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Panel interview with cross functional stakeholders (60 min)   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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

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

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

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale. In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy. We are looking for a Senior Sales Engineer to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions. You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing: Revenue quality Engineering focus Product evolution Customer trust at scale You’re welcome to work remotely from Europe. Your responsibilities will include: Strategic Technical Discovery Lead deep technical discovery with engineering teams and technical founders Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies Translate customer ambition into production-feasible architectures Identify hidden technical risks early Commercial Acceleration Partner tightly with Sales on strategic deals Influence deal strategy through architectural clarity Prevent misaligned commitments before engineering allocation Increase PoC-to-production conversion by ensuring technical realism PoC Architecture & Validation Define measurable success criteria (latency, TTFT, throughput, cost envelope) Classify workload complexity and required optimization depth Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.) Drive structured Go / No-Go decisions Prevent uncontrolled customization or hidden R&D Pattern Recognition & Platform Leverage Identify recurring configuration patterns across customers Quantify demand for advanced optimizations (quantization, speculative decoding, etc.) Surface structured insights to Product and Engineering Help evolve platform capabilities based on real workload data We expect you to have: Deep understanding of AI inference systems and GPU-backed infrastructure Experience with LLM workloads and performance-sensitive environments Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM). Ability to reason about latency, throughput, cost, and architecture tradeoffs Strong customer presence with engineering-first organizations Comfort challenging assumptions and pushing back constructively Commercial awareness – you understand that engineering time is a strategic resource Preferred technical stack : Programming Languages– Python Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent API and Web Frameworks– FastAPI, Flask MLOps and DevOps tools– Kubernetes (K8s), Docker, Git Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) What success looks like : Strategic deals are technically sound before engineering engagement PoCs are clearly scoped and economically justified Engineering capacity is allocated predictably Conversion to production improves Customers view you as a trusted architectural advisor Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Limassol Cyprus Workplace: OnSite ABOUT US Scorewarrior is a game developer and publisher based in Limassol, Cyprus. We are working on Total Battle — a cross-platform MMO 4X strategy game with a deep social system and extensive player interaction. We have 2 million monthly active players and are continuing to grow, with the goal of becoming the #1 game in the genre. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games. ABOUT THE ROLE At Scorewarrior, we're making a long-term investment in Building Blocks — a new generation of self-service internal products with clear interfaces, contracts, and documentation that game teams can adopt independently. Localization Hub is the first Building Block. Today, Localization Hub, together with Crowdin, powers localization workflows across Scorewarrior — from translation tracking, analytics, and reporting to automated translation quality checks and an AI-powered localization assistant. Our next goal is to transform Localization Hub into the first fully self-service Building Block, enabling content teams to localize standard features independently while the lead focuses on high-level decisions. The engineering team behind Localization Hub will establish the architecture, engineering standards, and practices that future Building Blocks will build upon. WHAT WE'RE LOOKING FOR We're looking for a Staff Frontend Engineer to design and build the portal's micro-frontend platform and a shared component library. Localization Hub will be the first module. WHAT YOU’LL DO - Design the micro-frontend platform architecture and defend the solution - Develop the portal Core and the module contract - Set up module delivery: template, CI/CD, documentation - Migrate the current Localization Hub as the first module of the portal - Build a shared component library based on Atomic Design and Storybook, contributing to its visual design as well - Set standards for module teams and help them onboard to the portal - Maintain high code quality through testing, code reviews and documentation - Own portal performance: loading time, bundle size budgets and rendering speed across modules - Investigate and resolve frontend production issues, including layout bugs, interaction quirks and degraded performance - Collaborate with backend engineers, module teams and product to align on APIs, requirements and platform priorities - Take part in planning and scoping the platform roadmap, and drive upgrades of shared dependencies across modules - Mentor engineers and help improve team practices in frontend architecture, testing and performance tuning WHAT YOU SHOULD HAVE - 5+ years of commercial frontend development experience - Deep knowledge of React and TypeScript - Strong HTML and modern CSS skills, and the ability to build well-structured, reusable and responsive components - Experience building a micro-frontend platform in production with React, TypeScript, Vite and React Router: Module Federation, Next.js Multi-Zones, import maps or similar, and independently versioned npm modules - Frontend CI/CD experience: environment-based rollouts, CDN, versioned releases and rollbacks - Experience creating or evolving a design system and Storybook - Experience writing unit, integration and end-to-end tests (Vitest or Jest, Playwright) - Understanding of performance, accessibility and web security - Ability to justify decisions in writing (design documents, ADRs) NICE TO HAVE - Interest in design and basic Figma skills - Experience migrating an existing application to micro-frontends without disrupting users - Experience with Next.js - Experience with state and data management in React: Zustand, Redux Toolkit, TanStack Query - Frontend observability: Sentry, per-module metrics - GitLab CI, Docker, Kubernetes WHAT WE OFFER - An excellent remuneration package, including a 13th salary - Full relocation coverage for you and your family to Cyprus (Limassol) - A modern, sunny office close to the sea - Private health insurance for you and your family members - A monthly pre-school, school, and university allowance for employees' children - Lunch compensation - A sports and fitness allowance - Company-funded personal development opportunities (professional and language courses, books, etc.) - Bonuses for outstanding results, years of service, marriage, and childbirth - Friendly monthly office parties and epic annual offsite company birthday and Christmas celebrations

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

Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across CEE. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the CEE market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across CEE. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across CEE business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the CEE enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 7+ years of B2B sales experience in enterprise technology, preferably pharmaceuticals or life sciences A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the CEE market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in CEE Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €265.000 — €310.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We're looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure. This role sits at the intersection of engineering, delivery, and customer success – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments . This role is NOT: A sales role (though you will support expansion through value) A pure support role (you won’t just react to tickets) A solution architect role (you won’t design systems from scratch) You’re welcome to work remotely from the United States . Your responsibilities will include: Own the production journey Lead the transition from PoC to production Ensure customer workloads are deployed, stable, and scalable Drive time-to-production and time-to-value Ensure technical success in production Understand customer architectures and use cases Monitor and improve: - performance (latency, throughput) - cost efficiency - reliability Identify and resolve bottlenecks proactively Act as a trusted technical partner Work directly with customer engineering teams Provide guidance on best practices and optimisation Translate technical challenges into actionable solutions Manage risks and incidents Act as a primary technical contact for production issues Coordinate with internal teams to resolve incidents Communicate clearly during high-pressure situations Drive continuous improvement Identify opportunities to optimise and expand usage Provide structured feedback to Product and Infrastructure teams Help shape better solutions based on real customer needs We expect you to have: Technical background Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar) Solid understanding of: - cloud or infrastructure systems - distributed systems or high-load applications - AI/ML workloads (LLMs, inference, etc.) is a strong plus Ability to troubleshoot and reason about system performance Customer-facing experience Experience working directly with technical customers (e.g. engineers, ML teams) Ability to communicate complex topics clearly and effectively Ownership & execution Strong sense of ownership – you drive outcomes, not just tasks Ability to manage multiple customers and priorities Structured, proactive, and solution-oriented mindset It will be an added bonus if you have: Experience with GPU workloads or AI infrastructure Background in solutions engineering, SRE, or technical support in B2B environments Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-DN1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $209,800 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for Mobile Engineers to join our Compliance engineering team. In this role, you will build secure, regulation-compliant, and high-trust mobile solutions that power global onboarding, identity verification, risk control, and regulatory compliance systems. We are open to candidates across a wide spectrum of experience. Whether you are an engineer early in your career eager to master mobile security and regulatory technology, or a seasoned practitioner who can architect resilient systems and drive technical direction across global markets, you will find high impact and technical depth here. You should be self-driven, hungry to grow, and motivated by solving critical real-world engineering challenges. What You'll Be Doing Build, maintain, and scale native iOS features and user flows using Swift and modern iOS frameworks. Collaborate with Product, Design, and Backend Engineering to translate functional requirements into smooth, responsive mobile experiences. Integrate third-party SDKs, native frameworks, and hardware capabilities (such as camera APIs, biometrics, or local security features) with a focus on UX and performance. Contribute to mobile client architecture, keeping the codebase modular, testable, and maintainable. Participate in code reviews, testing, and continuous optimization to maintain high iOS engineering standards. Leverage modern development tools and AI coding assistants to streamline your daily workflow and accelerate delivery. Diagnose and fix edge cases, performance bottlenecks, and production bugs to ensure a rock-solid iOS app experience. What We Look For In You Hands-on native iOS engineering experience with Swift, SwiftUI, and UIKit . Solid grasp of software engineering principles, memory management, multithreading, and mobile system design. Experience integrating RESTful APIs into production iOS applications. Commitment to writing clean, well-tested, and maintainable code. Strong problem-solving mindset with a desire to build high-quality software. Openness to using modern developer tools and AI coding assistants (e.g., Claude Code, Codex) in your everyday coding workflow. Nice-To-Haves Exposure to mobile CI/CD pipelines (e.g., Fastlane, GitHub Actions, Xcode Cloud). Experience working with modular iOS architectures or building internal shared SDKs/frameworks. Familiarity with unit testing frameworks (XCTest) and UI testing on iOS. Experience with feature flagging, analytics, or A/B experimentation frameworks. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: London, United Kingdom; Paris, France Workplace: OnSite About Ledger We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 million units already sold in 200 countries. The team: Join our Customer Success department as a Salesforce & Tooling Lead, where you will own the strategic direction and day-to-day operation of our Salesforce ecosystem – spanning both Enterprise and consumer environments. This is a senior, hands-on leadership role in which you will line-manage a small team of Salesforce Administrators while serving as the primary technical expert for our Agentforce deployment and broader Salesforce architecture. Based in London or Paris and on-site five days a week, you will work closely with Operations, Quality Assurance, Knowledge, Enterprise and other cross-functional stakeholders to drive scalable, high-quality tooling solutions that enable our global customer base to receive best-in-class support. What you’ll be doing - Lead, mentor and line-manage a team of Salesforce Administrators, setting clear objectives, providing technical guidance and supporting their professional development. - Own the strategic direction and operational health of Ledger’s Enterprise and consumer Salesforce environments, acting as primary system administrator for objects, flows, security and overall org health. - Act as the subject-matter expert on Agentforce, owning its maintenance, troubleshooting and enhancement. - Design and build custom solutions using Apex, Lightning Web Components (LWC) and Salesforce-native tooling, working with Customer Success leadership and cross-functional teams to turn business requirements into scalable solutions. - Own and scale Service Cloud (including Omni-Channel), Experience Cloud portals and integrations with external enterprise systems, evaluating third-party tooling where it extends Salesforce. - Own release management, CI/CD and the development backlog in JIRA, keeping releases stable and secure and prioritisation transparent, and lead technical projects from discovery through deployment. - Drive platform governance: define best practices, enforce data protection and retention policies, and maintain technical documentation. - Lead AI initiatives, beyond Agentforce, that improve efficiency and customer experience across Customer Success. What we’re looking for - Able to work on-site five days a week in our London or Paris office. - A minimum of five years’ hands-on Salesforce experience in high-volume B2B and/or B2C environments, including Service Cloud, Experience Cloud, API integrations and CI/CD. - Proven experience operating and troubleshooting Agentforce (core requirement; general AI chatbot experience is not a substitute). - Deep expertise in Apex, Lightning Web Components (LWC) and Salesforce architecture. - Demonstrated experience leading a Salesforce team, with the confidence to coach, delegate and hold others accountable. - Salesforce certified as Administrator, Platform App Builder and Platform Developer; Service Cloud Consultant and Agentforce Specialist are a strong advantage. - Strong communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences. At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Product Manager with a deep understanding of TradingView users, strong commercial judgment, and experience driving product growth. You will grow OKX's business within the TradingView ecosystem by identifying the most promising customer segments, defining why traders should choose OKX, and finding effective ways to acquire, activate, and retain them, with accountability for measurable business outcomes. Your first priority is to establish how the business can grow and which opportunities warrant investment. You will validate growth hypotheses through user research, data analysis, and focused experiments before committing substantial engineering resources. Those insights will shape the product roadmap, investment priorities, and the TradingView integrations and trading experience improvements you deliver with engineering and partners. What You’ll Be Doing Define the Growth Strategy and Business Opportunity — Identify high-potential customer segments, trading use cases, and market opportunities within the TradingView ecosystem. Assess competitive positioning, platform selection drivers, and OKX's differentiated value proposition. Build growth hypotheses and business cases that consider audience size, revenue potential, acquisition cost, and expected return, then set business goals, priorities, and a phased growth plan. Understand Users and the Trading Conversion Journey — Use interviews, behavioral data, and community feedback to understand how traders discover platforms, use charts and indicators, set alerts, connect accounts, place orders, and manage positions. Identify what motivates or prevents users from choosing OKX, making their first trade, and returning. Develop customer segments and conversion funnels, and turn insights into clear product, positioning, and lifecycle opportunities. Validate Growth Hypotheses and Improve Conversion and Retention — Design measurable experiments across acquisition, account connection, first successful trade, repeat trading, and reactivation. Use existing capabilities, onboarding, trader education, value proposition testing, and targeted campaigns to validate opportunities. Define success metrics, experiment costs, and criteria to scale or stop; expand approaches that work and use the evidence to inform subsequent product investment. Drive Go-To-Market and Ecosystem Partnerships — Work with marketing, regional, lifecycle, and TradingView partner teams on acquisition and go-to-market plans. Evaluate ecosystem visibility, communities, creators, educational content, and joint campaigns as potential channels. Define the customer proposition, distribution approach, conversion journey, and partner objectives, and assess channels by the active traders, retention, and business contribution they generate. Translate Growth Evidence into Product Delivery and Integration — Translate validated user needs and growth opportunities into a product roadmap, PRDs, and acceptance criteria. Define the minimum scope and engineering priorities required to achieve the business objective. Work with OKX engineering and TradingView technical teams to assess API integration, account authorization, market data, and order and position synchronization, and drive the necessary adaptation, testing, and launch to address specific conversion, trust, or retention problems. Own Business Outcomes and Continuously Refine Investment — Own metrics for newly acquired trading users, first-trade conversion, active traders, retention, incremental trading volume, and revenue contribution, taking acquisition, incentive, and delivery costs into account. Separate the effects of market conditions, incentives, and product improvements. Review growth initiatives and feature investments, reallocate resources based on results, and track connection success and trading reliability as measures of experience quality. What We Look For In You Relevant product management experience in trading, fintech, or digital assets, with a track record of measurable product growth. You can explain how you identified opportunities, developed a growth strategy, and improved acquisition, trading conversion, retention, or revenue, including your personal contribution and results. A deep understanding of TradingView users and their practical use of charts, indicators, watchlists, alerts, and trading workflows. You can explain why different traders choose a platform, switch terminals, abandon an order, or continue using a service, and validate those insights through research and data. Strong commercial judgment and growth strategy skills. You can segment customers, assess opportunities, define differentiated positioning, select distribution channels, and build business cases. You validate demand and a credible path to growth through research and focused experiments before substantial engineering investment. Strong analytical and experimentation skills. You can analyze funnels, cohorts, and retention, design and evaluate growth experiments, and assess incrementality, acquisition cost, customer value, and incentive cost. You can distinguish short-term trading volume changes from sustainable growth. An understanding of trading products and their commercial drivers. You are familiar with spot and derivatives fundamentals and how instrument coverage, fees, liquidity, execution quality, and account and position workflows influence customer choice, conversion, and retention. You can translate these factors into product decisions. Experience delivering products that involve technical integration. You have worked with engineers on API or third-party platform integrations and can read interface documentation, understand account authorization and market data, order, and position synchronization, define business rules and acceptance criteria, and drive testing and launch. You connect technical constraints and implementation scope to user value and growth objectives. Strong English communication and cross-functional execution skills. You can work with TradingView partners, marketing, regional, product, and engineering teams on business opportunities, product priorities, and technical feasibility, aligning resources around shared outcomes. Nice-To-Haves Experience growing a business within TradingView or a comparable trading-tool ecosystem, with examples spanning opportunity discovery, growth validation, and scaling. Experience with trader communities, creators, educational content, partnerships, or channel growth, with the ability to evaluate initiatives by active traders, retention, and revenue contribution. Experience growing products across regions or trader segments, with an understanding of differences in user behavior, customer propositions, and acquisition approaches. Experience with TradingView Broker Integration, Advanced Charts, Trading Platform, or comparable integrations, with an ability to explain how the work improved the user experience or supported growth objectives. What Success Looks Like An evidence-based growth plan that identifies priority customer segments, OKX's differentiated value, promising distribution channels, and the business opportunity. Validated, repeatable approaches to acquisition, trading conversion, and retention, supported by research and focused experiments that guide engineering investment and resource allocation. Measurable, sustainable growth in active traders, retention, and revenue contribution, with acquisition and incentive costs taken into account. Delivery of the product capabilities and TradingView integrations needed to capture validated opportunities, with improvements to critical user journeys and ongoing measurement of their growth impact. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .