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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 .

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 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! 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: 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 DACH. 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 German market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across DACH. 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 DACH business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German 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: Native German speaker with excellent written and verbal communication skills in German and English 7+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies Specialised sales industries experience: Energy & Utilities 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 German 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 DACH and EMEA Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) 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: Hong Kong Position Summary We are looking for a Financial Reporting and Control Manager to own group reporting and the monthly close across Hex Trust's legal entities in Asia, the Middle East, and the Americas. You will run the group consolidation in Workday, our new ERP, and own the numbers that go to the Executive Committee, the Board, our auditors and our regulators. Our finance team is deliberately small. Workday and AI tools handle most of the transaction processing, reconciliation and first-draft analysis, so your job is to run the close as a controlled process, check what the systems produce, and stand behind the result. The role suits a qualified accountant who wants more ownership than a large finance team would offer, and who is comfortable reviewing work that a machine has prepared. You will report to the Director of Finance and work closely with the Group CFO. Duties & Responsibilities Own the monthly group close as a controlled process: set the close calendar, run the review gates, and sign off entity results with the Director of Finance. Run the group consolidation in Workday, including intercompany eliminations and currency translation, and review the system output rather than assembling it by hand. Catch the cases where a system-generated elimination or translation is wrong. Produce the monthly Executive Committee reporting and the quarterly board reporting for the Group, Singapore and MENA, delivered through our live financial dashboard. Turn the automated variance analysis into clear commentary that you can defend. Review the closes of the material legal entities, and own intercompany recharges and reconciliations. Deliver the statutory audits across the group with the Director of Finance: prepare schedules and workpapers, manage auditor requests, and challenge proposed adjustments where the treatment is wrong. Account for digital assets, staking and validator income, stablecoin activity and trading results, with treatment and documentation that are ready for audit. Prepare regulatory financial returns, including monthly reporting to VARA in Dubai and returns to the MAS in Singapore, for sign-off by the Director of Finance. Coordinate tax compliance with our local advisors across jurisdictions. Keep the finance procedures and our finance knowledge base current, so that the automated tools and AI agents work from accurate instructions. Work with the finance operations team to extend the automation of the close and of our reporting. Requirements Qualified accountant (CPA, ACCA or equivalent) with three to five years of experience, ideally including audit at a Big Four or mid-tier firm. Hands-on experience of group consolidation, intercompany eliminations and multi-currency reporting across several legal entities. Experience with a modern ERP; Workday is a strong advantage. We value ERP experience over advanced spreadsheet consolidation skills. Sound technical accounting under IFRS or HKFRS. Experience with digital assets or crypto accounting is an advantage but not a must. Comfortable working with AI tools and automated workflows. Much of your first draft will come from a system, and your job is to question it. Examples of where you have used AI tools in finance work are a plus. The judgement to say a number is wrong, to push back on an auditor, and to explain results clearly to senior stakeholders. Experience with regulatory financial reporting in Hong Kong, Singapore or Dubai is an advantage. Strong written and spoken English. Cantonese or Mandarin is an advantage. Candidates who do not tick all the boxes are still encouraged to apply, those with less experience will still be considered for the position but with an adjustment to the level of seniority. Benefits As one of the leading Web3 innovators, Hex Trust offers a front-row seat in the ever-changing blockchain & crypto industry. We genuinely believe that people are our greatest asset, and invest heavily so they’re best prepared to support our mission to unlock ownership in decentralized markets! You will be joining a company that is always committed to creating a supportive & inclusive environment that promotes personal and professional growth that furthers your success and drives innovation, collaboration, and passion in the blockchain space. At Hex Trust, we are proud of our H.E.X. culture: Heart Empowerment Xcellence Join us at Hex Trust and not only can you look forward to working with blockchain professionals to build the decentralized future, but also: Competitive Salaries & Bonuses Generous Amounts of Paid Time Off (incl. leave for Birthdays, Work Anniversary, and Mental Health etc.) Access to Corporate Discounts and exclusive Employer Perks Medical & Retirement Plans Professional Learning and Development Opportunities Elevate your work using cutting-edge technology Fun & friendly office spaces in Hong Kong, Singapore, Dubai and Vietnam Regular company & social events Hex Trust is an equal-opportunity employer devoted to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

Location: Poland; Spain; Mexico; Colombia; Argentina; Dominican Republic Marketing Director — Adrian Magnus - Luxury FMCG Industry International Premium Cigar Brand | Fully Remote | USD 4,000–5,000 per Month Build an international premium brand. Lead a global team. Turn creative ambition into measurable growth. Adrian Magnus is an international premium cigar brand expanding its presence across global markets. We are looking for a Marketing Director to shape our next stage of growth—strengthening our positioning, leading our international marketing team, and translating brand desire into commercial results. This is an opportunity to take ownership of the marketing function, work directly with company leadership, and make decisions that influence how the brand grows across countries and channels. You will bring together brand strategy, creative storytelling, and commercial discipline, with the autonomy to develop ideas and the responsibility to deliver them. In this role, you will: Own and execute the international marketing strategy, connecting brand development with sales growth. Lead an international marketing team, agencies, and external partners with clear priorities and accountability. Strengthen Adrian Magnus’s premium positioning through compelling storytelling and a consistent brand experience. Build the marketing calendar and lead campaigns across digital, content, social media, PR, and partnerships. Develop trade marketing programs that help distributors and commercial partners grow the brand in their markets. Oversee international exhibitions, events, product launches, and brand activations. Manage the marketing budget, define KPIs, and turn performance insights into better investment decisions. Work closely with Sales and company leadership to identify opportunities and expand our international presence. Requirements Requirements You are a creative, commercially minded marketing leader who can set a clear direction, inspire a team, and stay close to execution. You know how to build a premium brand—and can demonstrate how your work contributed to business growth. Essential experience and skills: At least 3 years as a Marketing Director, Head of Marketing, or CMO. Experience in tobacco, cigars, alcohol—including spirits or wine—or vaping. Proven experience managing an international marketing team and developing a brand across multiple international markets. A track record of measurable growth in sales, brand awareness, customer acquisition, or market share. Strong expertise across brand strategy, digital marketing, content, social media, PR, events, partnerships, and trade marketing. An understanding of marketing restrictions in regulated industries and the ability to build effective campaigns within them. Strong analytical and financial skills, including budget ownership, ROI evaluation, and performance measurement. The ability to turn strategy into clear priorities and ensure consistent execution. Fluent English. An advantage: Experience with premium or luxury products. Spanish proficiency. Our team works primarily across Europe and Latin America . You should be comfortable working approximately 14:00–22:00 or 15:00–23:00 Madrid time to collaborate effectively with both regions. We would love to hear about your strongest work: the challenge you faced, what you changed, and the measurable impact you delivered. Benefits Benefits USD 4,000–5,000 per month + Bonuses of up to $25.000 USD per year , depending on experience, expertise, and demonstrated results. Fully remote work , with a schedule aligned with our international team. Ownership of the marketing function , with the opportunity to shape strategy and lead execution. Direct access to company leadership , giving you a clear voice in the brand’s development. International scope , working with colleagues, distributors, and partners across multiple markets. Creative autonomy , with room to develop distinctive campaigns, partnerships, and brand experiences. Visible business impact , connecting your decisions to the growth of the brand and its sales. Ready to lead the next stage of Adrian Magnus? Bring your vision, your experience, and the results that show what you can do.

Location: Amsterdam, Netherlands; Ireland, United Kingdom; Munich, Germany; Paris, France; Testelt, Belgium At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Sr. Clinical Data Manager (SrCDM) to join our A-team (hybrid*/remote). As a SrCDM at Allucent you lead data management activities of the Allucent Data Management (DM) department. This position manages, coordinates, reviews and approves DM deliverables from database design & set-up, through cleaning and reporting to database locking, ensuring that the completeness, accuracy and consistency of clinical data meets the quality standards and regulatory requirements for analysis and reporting.   This position also provides expertise in relevant data management areas and cross-functional initiatives, including the development of departmental processes, tools, and training of staff. In this role your key tasks will include: Lead and serve as primary contact for DM with all relevant parties both internally (e.g. Clinical Programmers, Data Scientists, Project Management, Clinical Operations/Monitoring, Clinical Monitoring, Biostatistics and other functional groups) and externally (e.g. sponsors, vendors (EDC, external data), and investigational sites) Plan and project the resources required including management of tasks, timelines, risk and quality Monitor tasks against and keep track on budget, forecasts and manage changes of scope, budget, revenue recognition. Develop, review and maintain project-specific DM documents including data management plan (DMP), eCRF specifications, data validation plan (DVP) and external data transfer agreements throughout the lifecycle of the project and ensure adherence to the project requirements Lead and coordinate the development of clinical study database set-up, including eCRF design and database validation requirements Participate in the review of study documents (e.g. protocol, Project Plan, safety plans/manuals and statistical analysis plan), lead and coordinate the review of (electronic) case report forms (eCRFs) Coordinate, oversee and ensure the database User Acceptance Testing (UAT) related tasks are successfully completed Create training materials for EDC users and provide project-specific training as required Lead and oversee the review and validation of clinical data to ensure consistency, accuracy, integrity and completeness Create data cleaning strategy in consultation with applicable functional groups and oversee data releases (such as for DETC/DSMB/IDMC, interim and final locks, updates after lock) Perform and/or coordinate various data transfers and reconciliation activities including (but not limited to) SAE, PK, and (other) external laboratory data Provide project metric reports, status updates, study progress, feedback and advice to project team on site performance issues, data trends and protocol non-compliance Organize and lead Quality Review activities during study Assist in project-related contracts negotiation and contracting process with vendors (EDC, IRT, eCOA) Manage the database maintenance, lock and close-out processes and procedure Participate in conference calls and/or meetings with vendors and sponsors Recognize and solve potential problems and evaluate effectiveness Maintain DM study documentation on an ongoing basis and ensure that all filing is up to date Plan and create necessary documentation to support internal and external audits; may participate in such audits assigned Help to align data management and clinical programming best practices, standards and conventions within the company Provide leadership, expertise and support to other department members. Propose and support initiatives for improving efficiency Actively support to staff learning & development within the company Share relevant information at applicable DM departmental meetings and organize and lead DM-related meetings and discussions Represent the company at professional meetings, webinars or seminars Train and mentor data management staff, support in development of new training material and provide training to relevant staff Participate in the interview process for new recruits Proactively track Data Management related regulatory development trends and updates, in consultation with department Global Head and/or Director, for further alignment and improvement of current processes Contribute as Clinical Data Management Subject Matter Expert (SME) to the evaluation/improvement/drafting of processes and procedures within the Quality Management System Assure good communication and relationships with (future) clients Contribute to and take part in client evaluations and visits Support in preparation of new proposals and budgets for Data Management services Contribute to other areas of business as required Requirements To be successful you will possess: Life science, healthcare degree and/or combination of education and experience Minimum 5 years of relevant work experience as Clinical Data Manager in CRO environment Minimum 5 years of experience in drug development and/or clinical research Thorough knowledge and understanding of ICH-GCP, 21CFR11 data privacy (GDPR/HIPPA) guidelines and awareness of local/regional requirements Good understanding of Medical Terminology Experience with electronic data capture (EDC) software systems and other tools for managing clinical studies, including IRT and eCOA Experience as DM lead on several studies, preferably in different Therapeutic Areas and clinical development phases. Experience in covering all phases of a clinical study (start up, conduct and database lock). Thorough understanding of relational database components and experience in technical data management practices (validation plans, testing, and documentation Experienced in CDISC conventions, i.e., CDASH, TAUG models and hands-on experience implementing these models Experience in developing data management standards Strong written and verbal communication skills including good command of English language Representative, outgoing and client focused Ability to work in a fast-paced challenging environment of a growing company Proficiency with various computer applications such as Word, Excel, and PowerPoint required Administrative excellence Attention to detail, strong technical, analytical and problem-solving skills Strong project management skills Ability to translate guidelines, rules and regulations in clear and usable recommendations Ability to simplify complex issues into understandable concepts Excellent organizational, negotiating and motivational skills Benefits Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Disclaimers: *Our in-office work policy encourages a dynamic work environment, prescribing 2 days in office per week for employees within reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-BL1

Location: Singapore; Kuala Lumpur, Malaysia; Manila, Philippines Intellect is the global leader in hyper localised mental health benefits, trusted by the world’s most forward-thinking employers, insurers, and governments to deliver care that is local, personalised, and effective at scale. Today, we serve over 4 million people across 100 countries and 100+ languages, making mental health support truly accessible across borders and cultures. Our platform powers the mental wellbeing of workforces at hundreds of Fortune 500 and global multinational companies, enabling them to support their people with the highest standards of clinical quality, cultural relevance, and on-demand accessibility. Driven by our mission to build the world’s most trusted mental health benefits platform, Intellect combines a best-in-class digital platform with a world-leading global provider network to deliver unmatched client outcomes, and transformative care experiences. We are backed by top global investors including Tiger Global, Y Combinator, Insignia Ventures Partners, HOF Capital, K3 Ventures, JAFCO, Headline, East Ventures, IHH Healthcare, MS&AD Ventures, and more, alongside an extensive coalition of notable family offices, big tech executives, and leading angel investors. The Role We are looking for an Enterprise Account Executive, Asia to drive new business across mid-market and enterprise customers in the region. This is a high-ownership, full-cycle sales role for someone who wants to build, not simply inherit a mature territory and run an established sales playbook. You will have strong support from marketing, partnerships, leadership, product, clinical, customer success, and other teams across Intellect. At the same time, we expect you to be highly proactive in creating momentum yourself: opening doors, developing opportunities, shaping propositions, building compelling pitches, navigating complex buying processes, and doing what is needed to move important deals forward. We are looking for someone commercially sharp, resourceful, persistent, and comfortable operating with pace and ambiguity. A builder, not a passenger. What You Will Do Build & Win New Business Own the end-to-end sales cycle across mid-market and enterprise customers in Asia, from first conversation through to contract signature. Develop a deep understanding of target accounts, their priorities, decision-makers, buying dynamics, and where Intellect can create meaningful value. Run high-quality discovery with senior stakeholders and translate customer needs into compelling commercial solutions. Build strong, multi-threaded relationships across organisations and navigate complex regional or enterprise buying processes. Create & Develop Pipeline Work closely with marketing and the broader commercial team on inbound opportunities, campaigns, events, account-based initiatives, and other sources of demand. At the same time, take ownership of creating opportunities yourself through targeted outreach, referrals, networking, events, partnerships, and thoughtful account development. You should be comfortable working both sides of the equation: converting strong inbound demand and creating new opportunities from scratch. Shape Complex Enterprise Deals Develop account strategies and determine the best path to win each opportunity. Create and customise presentations, proposals, business cases, and commercial narratives around the needs of each customer rather than relying only on standard materials. Bring the right internal stakeholders into the process - across leadership, product, clinical, customer success, legal, security, and operations - and orchestrate them effectively. Navigate procurement, legal, security, commercial negotiations, and other enterprise requirements with sound judgement and persistence. Identify blockers early, create clear next steps, and maintain momentum throughout the sales cycle. Represent Intellect Across Asia Build trusted relationships with senior decision-makers across the region. Represent Intellect at customer meetings, industry events, conferences, roundtables, and other commercial opportunities. Be willing to engage directly in events, lead generation, and market-building activities rather than seeing them as someone else’s responsibility. Develop a strong understanding of the evolving mental health, employee benefits, HR, healthcare, and workforce landscape across Asia, and bring relevant market insights back into the company. What Success Looks Like You consistently build and convert a healthy pipeline of high-quality opportunities. You win meaningful new mid-market and enterprise customers across Asia. You create opportunities independently as well as convert marketing-generated demand. You build credibility with senior stakeholders and develop relationships across multiple decision-makers within an account. You navigate complex sales cycles with strong commercial judgement and clear ownership. You create compelling, customer-specific pitches and proposals that move opportunities forward. You maintain strong discipline around pipeline management, forecasting, follow-ups, and next steps. You become a credible and trusted representative of Intellect in the market. You operate effectively without needing a large or highly prescriptive sales machine around you. Requirements 5-10 years of B2B sales experience, with meaningful exposure to mid-market or enterprise customers. We care less about a specific industry background than we do about seeing evidence that you can create and win business. You are likely to be someone who: Has a strong track record of winning new mid-market or enterprise customers. Has owned a meaningful portion of the full sales cycle, from opportunity creation through to negotiation and close. Is commercially hungry and proactive about generating business rather than relying entirely on inbound demand. Can sell consultatively and understand the underlying business problem rather than simply presenting product features. Is comfortable navigating complex organisations with multiple stakeholders and decision-makers. Can communicate credibly with senior executives and adapt your approach across different audiences and markets. Is comfortable creating or adapting your own decks, proposals, business cases, and sales narratives when needed. Is highly resourceful and persistent when an opportunity becomes difficult or stalls. Has strong judgement around account prioritisation, stakeholder management, and how to move a deal forward. Is comfortable operating in an environment where not every process is perfectly defined. Has strong commercial discipline without becoming overly dependent on process or infrastructure. Works effectively across functions and knows how to bring the right people into an opportunity. Is ambitious, resilient, and motivated by ownership and outcomes. Is willing to get hands-on where needed, whether that means prospecting, working an event, researching an account, preparing a custom pitch, or pushing through a difficult procurement process. Experience selling HR technology, employee benefits, healthcare, mental health, SaaS, professional services, or other complex B2B solutions is useful, but not essential. Experience selling across multiple Asian markets or operating in a regional role would be a strong advantage. Benefits Why You’ll Love Working With Us: Global company – work in a diverse environment with people from nearly 20 countries Generous leave policy – time off to rest and recharge Christmas week off – company-wide break during Christmas, separate from annual leave Birthday leave – enjoy a day off on your birthday Quarterly mental health days – one day off every quarter to focus on your wellbeing Flexible work arrangements – work in a way that suits your lifestyle and goals Work-life balance – a culture that values personal time and long-term wellness Medical coverage – comprehensive insurance for peace of mind Performance bonus – high performance is recognised and rewarded Development budget - annual allowance to support your professional development Mental health support – premium coaching access to our mental health app and resources & dedicated budget for clinical and psychiatric care Socials and communities – regular non-work events/activities to connect and have fun together