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Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As an IT Datacenter Technician , you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the modern GPU cloud clusters. Your responsibilities will encompass supporting the data center’s IT infrastructure, troubleshooting and resolving hardware issues, and ensuring the smooth operation of critical systems. Your responsibilities will include troubleshooting and resolving hardware issues, performing hardware and network diagnostics, ensuring the smooth operation of critical systems, and carrying out physical repairs. The role may also involve travel between data centers and participation in on-call rotations. You’re welcome to work at our data center. Your responsibilities will include: Monitor and support the IT infrastructure as a shift worker (day & night shifts) . Diagnose and resolve issues related to server and network hardware within the data center. Perform installation, upgrades, and decommissioning of IT hardware in accordance with operational requirements. Manage and maintain fiber optic and patch cable connectivity. Handle Return Merchandise Authorizations (RMAs) in compliance with company procedures and documentation. Collaborate with internal teams to resolve technical and operational issues. Maintain and update documentation, manuals, and procedures related to hardware configuration, troubleshooting, and maintenance. Requirements: Solid understanding of server and networking equipment. Practical, hands-on experience with server hardware, network switches, and fiber optic cabling. Proven ability to diagnose and resolve hardware-related issues. A proactive, responsible, and results-driven work attitude. It will be an added bonus if you have: Valid Category B driving license. Basic knowledge of the Linux operating system and familiarity with command-line tools. 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: Cairo, Egypt; Alexandria, Egypt; Cape Town, South Africa; India; Johannesburg, South Africa; Lagos, Nigeria; Nairobi, Kenya; Remote Workplace: hybrid About Yassir   Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency & Trust, Quality, Performance. And we are growing fast - super fast. By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa. About the Role Yassir is seeking a highly skilled and motivated Data Scientist to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems. About the Team The AI team is part of Yassir’s central Data & AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us! Key Responsibilities Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it. We aim for this role to focus on optimization Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing Identify and propose ML opportunities related to your scope and beyond Support with requirements definition and prioritization of ML projects Collaborate with cross-functional Engineering and Product teams Champion Data Quality as a critical input component to all ML solutions and Analytics Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering Utilize Statistical and ML techniques, as appropriate, for model training Validate and tune ML models Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights Deploy and test ML applications using our MLOps infrastructure Monitor ML models on their technical performance, business impact and underlying data / concept drift Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting Maintain and improve technical documentation of delivered solutions Support the Data & AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities Key Requirements Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices. Prior experience with Pricing / Economics related problems and/or modelling techniques - we welcome Economics / Econometrics backgrounds and experience Comfortable with key Statistical concepts, such as statistical testing and causal analysis Analytical thinking and problem solving skills Engineering mindset focused towards delivering robust applied data science solutions Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred Mastering of the end-to-end (ML) model development lifecycle Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English Positive attitude and resilience Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building Internal drive, self-motivation and ability to work independently including own effective project management Nice to have Experience with On-demand, Mobility or Financial Services companies Experience working on ML features for Digital Products (apps, websites)

Location: Middle East; Dubai; United Arab Emirates; Saudi Arabia; Riyadh Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Note: between 20 - 40% travel anticipated In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems We are open to candidates currently based in the Middle East or who are open to travelling or relocating. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Cairo, Egypt; Alexandria, Egypt; Cape Town, South Africa; India; Johannesburg, South Africa; Lagos, Nigeria; Nairobi, Kenya; Remote Workplace: hybrid About Yassir Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency & Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa. About the Role Yassir is seeking a highly skilled and motivated Data Scientist to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Personalization and Recommendation Engines. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems. About the Team The AI team is part of Yassir’s central Data & AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us! Key Responsibilities Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it. We aim for this role to focus on Personalization and Recommendation Engines capabilities. Identify and propose ML opportunities related to your scope and beyond Support with requirements definition and prioritization of ML projects Collaborate with cross-functional Engineering and Product teams Champion Data Quality as a critical input component to all ML solutions and Analytics Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering Utilize Statistical and ML techniques, as appropriate, for model training Validate and tune ML modelsVisualize analysis / modelling results focusing on meaningful, actionable metrics and insights Deploy and test ML applications using our MLOps infrastructure Monitor ML models on their technical performance, business impact and underlying data / concept drift Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting Maintain and improve technical documentation of delivered solutions Support the Data & AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities Key Requirements Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Computer Science, Software Engineering Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 3 years of industry experience Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices. Prior experience with Personalisation and Evaluation related problems and/or modelling techniques Comfortable with key Statistical concepts, such as statistical testing and causal analysis Analytical thinking and problem solving skills Engineering mindset focused towards delivering robust applied data science solutions Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred Mastering of the end-to-end (ML) model development lifecycle Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English Positive attitude and resilience Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building Internal drive, self-motivation and ability to work independently including own effective project management Nice to have Experience with Delivery, Mobility or Financial Services companies Experience working on ML features for Digital Products (apps, websites)

Location: Berlin Office; Romania; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Kosovo; Portugal; Poland; Serbia; Germany; Austria; Finland; London Office; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to build and ship end-to-end TypeScript product features that make n8n safer, more scalable, and more programmable for enterprise customers — helping large organizations run business-critical automation with confidence. To do so, you’ll own outcomes across the full stack and stay close to users, product, security, and enterprise-scale requirements: ENTERPRISE PRODUCT OWNERSHIP - Own product surfaces from discovery to delivery across areas like identity, access, governance, APIs, observability, environments, and enterprise integrations. - Ship high-quality features fast across the TypeScript stack, balancing usability, security, performance, and maintainability. - Partner closely with Product to translate complex enterprise customer needs into clear scopes, technical trade-offs, and measurable outcomes. FULLSTACK DELIVERY ACROSS PLATFORM AND PRODUCT - Build and evolve customer-facing experiences in Vue or React for admins, developers, and enterprise users managing n8n at scale. - Develop scalable Node.js services and APIs that power authentication, permissions, workflow lifecycle management, observability, integrations, and partner use cases. - Move fluidly between frontend and backend codebases to unblock your team and keep momentum high across complex product areas. SECURE, SCALABLE ENTERPRISE FOUNDATIONS - Build capabilities that help organizations control who can do what across n8n, including authentication, provisioning, RBAC, credential infrastructure, and secrets management. - Contribute to safe workflow delivery through environments, source control, versioning, testing, CI/CD validation, and deployment workflows. - Improve governance, observability, auditability, and runtime controls so admins can understand, troubleshoot, and enforce how n8n is used. APIS, INTEGRATIONS, AND EXTENSIBILITY - Build and maintain enterprise-grade integrations, nodes, SDK capabilities, and execution patterns that support automation at scale. - Design APIs, embed capabilities, and multi-instance management features that make n8n programmable for partners, developers, and large customers. - Instrument features end-to-end so you can measure impact, debug real-world behavior, and continuously improve reliability for business-critical workflows. TEAMS YOU COULD JOIN We’re currently hiring across multiple enterprise product engineering teams, including IAM, Enterprise Nodes, API & OEM, and Governance & Observability. During the interview process you’ll be matched to a team based on your strengths and what you’re most excited to build. - Learn more about the teams and their focus areas here https://app.notion.com/p/Discover-Engineering-n8n-1b65b6e0c94f80688f43d9bbc76023c3?pvs=21. REQUIREMENTS MUST-HAVES - 🧩 Fullstack JavaScript/TypeScript experience: You’ve shipped customer-facing features using TypeScript across frontend and backend, and you feel comfortable working fullstack. - 🧠 Product-minded engineering: You talk about users, workflows, and outcomes rather than only implementation details, and you enjoy turning complex customer problems into simple product experiences. - ⚙️ Modern web stack fluency: You have hands-on experience with TypeScript, Node.js, and either Vue or React. - 🏢 Enterprise SaaS mindset: You understand the expectations of large organizations around security, reliability, scalability, auditability, and administrative control. - 🌐 Scalable systems experience: You’ve built or operated high-traffic SaaS systems and understand trade-offs across performance, reliability, maintainability, and developer velocity. - 📈 Metrics and instrumentation ownership: You’re used to instrumenting what you ship, measuring impact, and using data to decide what to build, fix, or iterate next. - 🧭 Ownership in small-to-mid teams: You’re comfortable wearing multiple hats, navigating ambiguity, and adapting to fast-changing priorities while keeping quality high. - 🤝 Collaborative builder mindset: You share knowledge through code reviews, docs, and mentorship, and you thrive in a team that builds together. NICE-TO-HAVES - 🔐 Identity, access, or security experience: You’ve worked on SSO, SAML, OIDC, LDAP, MFA, SCIM, RBAC, permissions, secrets management, or credential infrastructure. - 🚢 SDLC and deployment workflows: You’ve built features around environments, Git-based workflows, versioning, testing, CI/CD, release controls, or approval gates. - 🔌 Integrations and APIs: You’ve built integrations, APIs, SDKs, automation platforms, or developer tooling that helps others extend a product. - 📊 Observability and governance: You’ve worked with audit logs, OpenTelemetry, Prometheus, Grafana, SIEM integrations, admin controls, usage insights, or runtime policies. - 🤝 OEM or partner platform experience: You’ve contributed to embeddable products, partner platforms, multi-instance management, air-gapped deployments, or enterprise developer portals. - 🛠️ OSS and community involvement: You contribute to open-source, build side projects, or participate in developer communities. Why join us? At n8n, your work won’t disappear into a backlog. You’ll build the enterprise-grade foundations that make n8n safe, observable, programmable, and reliable for large organizations running business-critical workflows. You’ll have direct impact across product areas like identity, governance, APIs, SDLC, integrations, and observability, while helping shape how n8n scales for its next generation of enterprise customers. You’ll join a fast-growing, remote-first team where autonomy is real, collaboration is valued, and your impact is visible across the product. Sound like a challenge you’re excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Delhi, India; Casablanca, Morocco; Dubai, United Arab Emirates Müller’s Solutions is looking for a Google Cloud Application Modernization Specialist to drive our application modernization initiatives. In this role, you will work closely with clients to assess their existing applications and transform them into modern, cloud-native solutions using Google Cloud technologies. Your expertise will enable organizations to leverage the flexibility, scalability, and innovation that Google Cloud offers. Key Responsibilities: Evaluate existing application architectures and identify opportunities for modernization using GCP services. Design and implement cloud-native architectures that enhance application performance and scalability. Guide clients through the application migration process, ensuring best practices are followed to minimize downtime and disruptions. Collaborate with development teams to refactor and containerize applications for deployment on Google Kubernetes Engine (GKE) or App Engine. Facilitate workshops and training sessions to educate clients about cloud technologies and modernization strategies. Assess and implement DevOps practices and CI/CD pipelines to streamline application delivery and operations. Monitor and optimize modernized applications to ensure they meet performance, security, and compliance standards. Document modernization processes, architectures, and lessons learned for knowledge sharing within the organization. Stay current with industry trends, emerging technologies, and Google Cloud advancements related to application modernization. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 5+ years of experience in application development, architecture, or modernization, with a strong focus on Google Cloud Platform. Proven experience with microservices architecture, containerization, and orchestration technologies like Kubernetes. Strong understanding of Google Cloud services related to application development, such as Cloud Run, Cloud Functions, and BigQuery. Experience with programming languages such as Java, Python, or Go in developing cloud-native applications. Solid knowledge of DevOps practices and tools for continuous integration and delivery. Excellent communication skills, with the ability to guide and influence clients and technical teams. Strong problem-solving abilities and a passion for technology and innovation. Preferred Qualifications: Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional Application Developer) are a plus. Experience with legacy application modernization and migration strategies. Familiarity with Agile methodologies and practices. Previous experience working directly with clients in consulting or customer-facing roles. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Casablanca, Morocco; Delhi, India; Dubai, United Arab Emirates Müller’s Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization. Key Responsibilities: Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoML. Collaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirements. Conduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrity. Implement and optimize AI workflows that facilitate real-time data processing and inference. Stay updated on the latest advancements in AI and machine learning technologies to continuously improve our offerings. Provide technical guidance and support to teams on best practices for using Google Cloud AI services. Document AI project implementations, model performance evaluations, and ongoing maintenance procedures. Contribute to developing educational materials and training sessions on AI capabilities for staff and stakeholders. Monitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectiveness. Requirements Requirements: Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud Platform. Proficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn). Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoML. Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques. Ability to work with large datasets, utilizing BigQuery or similar data processing tools. Excellent problem-solving skills and a strong analytical mindset. Capable of communicating complex technical concepts to diverse audiences effectively. Preferred Qualifications: Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plus. Experience with MLOps practices and tools for model deployment and management. Familiarity with DevOps practices as they relate to AI and machine learning. A background in statistics or applied mathematics is desirable. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Cairo, Egypt; Delhi, India; Casablanca, Morocco Müller's Solutions is seeking a GCP DevOps Specialist to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining our Google Cloud Platform (GCP) infrastructure and DevOps practices. Your expertise will drive the continuous improvement of our development and deployment processes, ensuring high availability and scalability of applications hosted on GCP. You will work closely with development, operational, and security teams to implement CI/CD pipelines, manage cloud resources, and enhance application performance. Key Responsibilities: Design, deploy, and manage GCP infrastructure components, including virtual machines, storage solutions, Kubernetes, and serverless functions. Develop and optimize CI/CD pipelines using tools such as Jenkins, GitLab CI, or Google Cloud Build. Implement monitoring and logging solutions to ensure reliability and security of cloud-based applications. Collaborate with cross-functional teams to streamline development workflows and enhance operational efficiencies. Automate infrastructure provisioning and management through Infrastructure as Code (IaC) using tools like Terraform or Google Deployment Manager. Perform cost optimization analyses and resource allocation planning for GCP services. Support incident management processes and provide technical guidance to resolve deployment and operational issues. Continuously evaluate new cloud technologies and services to enhance our GCP environment. Requirements Requirements: Degree: Bachelor's degree in Computer Science, Information Technology, or a related field. Experience: 3+ years of experience in cloud infrastructure management and DevOps practices, with a strong focus on Google Cloud Platform. Technical Skills: Proficient in Google Cloud services (e.g., GCE, GKE, BigQuery, Cloud Functions), CI/CD tools, and container orchestration (Kubernetes). Experience with Infrastructure as Code (IaC) using Terraform or similar tools is highly desirable. Additional Skills: Strong experience with scripting languages (Python, Bash) for automation tasks. Familiarity with monitoring tools (e.g., Stackdriver, Prometheus) and security best practices in cloud environments. Understanding of Agile methodologies and DevOps culture. Communication Skills: Excellent communication skills with the ability to work effectively in a collaborative environment. Preferred Qualifications: Certifications such as Google Cloud Professional DevOps Engineer or Google Cloud Architect are a plus. Experience with multi-cloud or hybrid cloud environments. Ability to troubleshoot complex systems and provide solutions quickly. Strong analytical and problem-solving skills, with a focus on continuous improvement. A passion for cloud technologies and keeping up-to-date with industry trends. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Dubai, United Arab Emirates; Riyadh, Saudi Arabia; Cairo, Egypt; Casablanca, Morocco; Delhi, India Müller’s Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable. Key Responsibilities: Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka. Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs. Ensure high data quality and integrity by implementing robust data validation and testing processes. Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments. Monitor and troubleshoot data processing workflows to ensure timely data delivery. Document data architectures, processes, and workflows for knowledge sharing and compliance. Stay ahead of industry trends and best practices in big data technologies and methodologies. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 3+ years of experience as a Big Data Engineer or in a similar data engineering role. Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka. Strong coding skills in programming languages like Java, Scala, or Python. Familiarity with data processing frameworks and ETL tools. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery). Analytical mindset and excellent problem-solving abilities. Strong communication skills to collaborate effectively with technical and non-technical stakeholders. A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines. Preferred Qualifications: Experience with machine learning frameworks and algorithms is a plus. Knowledge of data governance and security best practices. Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on, from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems. As Anthropic scales its infrastructure across large GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude, and an increasing share of the most challenging problems live below the application layer. We're building next-generation observability systems, including high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools, so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard. Key responsibilities Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet Own and evolve core observability platforms, leading migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes Reduce mean time to detection and resolution by building cross-signal correlation (from kernel-level events up to application traces), unified query interfaces, and AI-assisted diagnostic tooling Improve fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization Minimum qualifications Experience building and operating large-scale observability or monitoring infrastructure Hands-on experience with observability signals end to end, from instrumentation through ingest to query and analysis Understanding of high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale Comfort debugging below the application layer, in the kernel, the network stack, or the hardware Excellent communication skills and the ability to partner with internal teams to improve their operational visibility and incident response capabilities Ability to work independently on ambiguous, high-impact technical challenges Preferred qualifications Experience building or operating eBPF-based observability in production, such as tracing, profiling, or network visibility Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization Kernel- and syscall-level debugging experience and performance engineering skills Experience profiling or instrumenting accelerator workloads Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends Experience with log storage migrations or operating columnar databases (e.g., ClickHouse, BigQuery) for analytics workloads Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting Enthusiasm for building foundational infrastructure 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: $320,000 — $485,000 USD 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: San Jose, California, United States 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. About the Opportunity We are looking for a Principal AI Engineer to lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems serving both enterprise and consumer use cases. This is a hands-on technical role focused on building intelligent, autonomous chatbot systems operating in real-time crypto environments. You will define the technical vision and own end-to-end delivery of production-grade conversational AI platforms. What You’ll Be Doing Lead the design, development, and lifecycle management for conversational Chatbots products for enterprise and consumer use cases. Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization. Design multi-level intent routing, classifier training, and fallback strategies. Building dialogue quality evaluation systems. Drive automated bad-case discovery, A/B testing, and continuous iteration loops. Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, or related field with at least 10 years of industry experience . Deep understanding of the engineering complexity behind industrial dialogue systems, including orchestration layers, intent classification, policy control, and fallback strategies. Proven experience deploying large-scale conversational products (To Business or To Consumer) in production environments. Hands-on experience designing multi-tier intent routing and training classifiers for high-accuracy task allocation. Experience building structured dialogue evaluation frameworks (automatic metrics, LLM-as-judge, human review systems, etc.). Strong experience driving automated bad-case discovery, logging systems, experiment design, and A/B testing frameworks. Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed OKX Statement The salary range for this position is $250,444.00 to $375,666.00. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-HYBRID#LI-HYBRID #LI-ED1 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: San Jose, California, United States 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. About the Opportunity We are seeking a Principal Engineer with a deep expertise in autonomous AI agent architecture and deployment, to spearhead the design, development, and optimization of intelligent agent systems on our global crypto exchange platform. This is a senior role requiring a hands-on AI science background combined with strategic oversight, technical direction, and cross-functional collaboration. You will work at the cutting edge of AI and crypto, designing AI agents that can autonomously reason, act, and evolve in complex, real-time environments such as trading, security, compliance, and customer interaction. What You’ll Be Doing Lead the design, development, and lifecycle management of autonomous AI agents tailored to crypto exchange operations (e.g., customer assistant, trading bots, risk detection agents, fraud prevention agents, etc.). Architect multi-agent systems (MAS) and frameworks to support goal-directed, reasoning, planning, and reinforcement-learning-based agents. Collaborate with product, engineering, business, and operation teams to define agent roles and measurable KPIs. Drive experimentation, simulations, and continuous learning pipelines for agent performance optimization. Stay ahead of the curve on developments in AGI, LLM-integrated agents, and cognitive architectures; apply relevant innovations to production systems. Mentor and lead a team of AI scientists and engineers; help define the AI roadmap and research strategy. Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain. What We Look For In You 10+ years of industry experience in a relevant field, or an equivalent combination of advanced degree (PhD/Master's in Computer Science, AI, Machine Learning, Robotics, or related field) and industry experience. Proven experience building and deploying autonomous AI agents in live environments. Ideal candidates will have: Designed multi-agent frameworks or agent ecosystems (e.g., AutoGPT, OpenAgents, LangGraph, LangFuse, Dify, Coze, etc.). Experience with goal-oriented agents, context engineering, memory management, tool use, and RL-based decision making. Developed agents for real-time decision-making, such as trading, gaming, customer support, or operations. Track record of delivering end-to-end AI systems in fast-paced, high-scale environments (preferably finance, crypto, or high-frequency domains). Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed OKX Statement The salary range for this position is $250,444.00 to $375,666.00 . The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-HYBRID#LI-HYBRID #LI-ED1 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: Noida, India Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? The TeamViewer ONE platform is focused on small and medium businesses and finds and resolves IT issues before they affect users. Over the past several years we have successfully built and released products which makes IT administrators' day-to-day life easier. Our vision is to become THE autonomous endpoint management solution for our customers. Responsibilities: We’re looking for a Senior/ Staff Software Engineer to play a key role in supporting and enhancing our TeamViewer ONE capabilities, trusted by small and medium business customers. In this role, you’ll be essential to maintaining and improving the experience for our existing customers, while helping evolve our User Experience and SaaS cloud platform.  You will also bring in expertise in using technologies - like React, Typescript, Javascript, CSS, Open API, Redux, Webpack. As part of an agile team, you’ll contribute as an individual contributor, working primarily with Typescript, react to enhance our product TeamViewer ONE, which will run as containerized services on Kubernetes. You will be expected to guide and mentor other team members. Build services for our TeamViewer ONE solution, by enabling the platform and clients, to derive insights Design and develop new functionality and components for our software using coding languages but not limited to JavaScript, React, Typescript, CSS3 Collaborate with front-end engineers, backend engineers and quality assurance engineers to design optimum solutions, balancing performance, costs and long-term maintainability Continuously integrate, build and deploy our solution from test system to production Design, implement and consume common APIs based on architecture guidelines and frameworks Design UI-components and autogenerate them based on defined schemes Design and build usage behavior events into our frontend Create UI test cases with cypress testing framework Optimize and enhance our software with new, efficient algorithms and state-of-the-art software tools and technologies Work independently on solutions for specified requirements and be responsible for complying with time and quality specifications Ensure that our software is secure, stable, scalable and runs efficiently Monitor the latest technical developments in your field and make proposals for improvement Guide and assist other team members in engineering topics relevant for the team Coach & mentor other members in the team Act as an advisor for product managers (feasibility studies and time estimates for new functionality to be implemented) Communicate with customers to analyze & fix product defects and during major implementations Requirements: A university or college degree in the field of information technology, computer science or a related subject or relevant work experience 9+ years of professional experience in the field of software development Solid knowledge of Typescript, JavaScript, HTML, CSS is mandatory Solid knowledge of JavaScript frameworks and tools like React, Redux, Webpack, etc. Strong focus on accessibility and performance, with the ability to validate that solutions operate efficiently under increasing workloads and as a distributed system Must have experience in any of the unit test frameworks Experience in cypress UI test framework Experience in Java, C# or C++ is a plus Experience in Kubernetes, Docker, Kafka, Argo CD, Azure/AWS/GCP services (like AKS, Redis, Key Vault, Event Hub, Service Bus, SQL MI, etc.) is a plus Experience in taking architectural decisions about the development and maintenance of large-scale distributed systems and integrations with applications and user interfaces Understanding of Clean Code and Design Patterns for object-orientated programming Familiarity with AI tools for coding (like Github Co-pilot or Cursor) is a plus Familiarity with concepts of end-user-computing, log analysis, anomaly detection & correlation is a plus A positive and solution-oriented mindset paired with a structured and analytical way of thinking/working, being a team player, as well as motivated to learn new things Fluency in English is mandatory, further languages like Portuguese are a plus TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.

Location: Hong Kong, Hong Kong SAR About the Role We are looking for a highly capable Senior Strategy PMO / Project Manager to join our CEO Office / Strategy PMO team. This role goes beyond traditional project management — you will operate at the intersection of strategy, execution, and organizational scaling , partnering closely with senior leadership to drive high-impact, cross-functional initiatives across the company. This is a high-exposure role suited for candidates who thrive in fast-paced environments and are comfortable navigating ambiguity, complexity, and executive-level expectations. Responsibilities Drive end-to-end planning and execution of company-level strategic initiatives, spanning product, engineering, risk, growth, and operational transformation. Partner with senior leadership to translate high-level strategies into executable roadmaps and delivery mechanisms. Establish and continuously refine project governance frameworks to improve execution efficiency, visibility, and accountability across teams. Identify cross-team bottlenecks and systemic inefficiencies, and drive structural solutions rather than one-off fixes. Lead high-complexity, cross-functional programs (e.g., trading systems, risk infrastructure, growth platforms, or platform-level transformations). Support and accelerate company-wide AI transformation initiatives, including: Driving AI adoption across product and operational workflows Coordinating cross-functional AI pilots and scaling best practices Building execution frameworks for AI-enabled delivery models Provide clear executive-level updates on progress, risks, and trade-offs, enabling fast and informed decision-making. Act as a force multiplier for leadership by driving alignment, execution clarity, and organizational velocity. Requirements 5–10 years of experience in strategy PMO, program management, or high-impact project delivery roles. Strong experience driving complex, cross-functional initiatives in fast-paced environments such as: Top-tier internet companies Global tech companies or scale-ups Fintech, trading, or platform-heavy organizations Proven track record of delivering technically complex programs (e.g., trading systems, risk controls, user safety, growth platforms, infra-heavy initiatives). Strong systems thinking — able to identify root causes and design scalable solutions. Excellent execution skills with a bias toward action and outcomes. Strong communication and stakeholder management skills, including experience working with senior executives. High ownership mindset with the ability to operate independently in ambiguous environments. Preferred Qualifications Background in technically intensive domains such as: Trading infrastructure or financial systems User risk control systems or user growth Platform architecture Experience in crypto, fintech, or global-scale platforms. Experience driving AI adoption in product, engineering, QA, or operational workflows. Bilingual (English + Mandarin) to collaborate effectively across global teams. 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: Hong Kong, Hong Kong SAR; Singapore, Singapore About the Role We are looking for a highly capable Senior Strategy PMO / Project Manager to join our CEO Office / Intelligence & Performance (IP) team . This role goes beyond traditional project management — you will operate at the intersection of strategy, execution, and organizational scaling , partnering closely with senior leadership to drive high-impact, cross-functional initiatives spanning growth, platform risk, and trading product experience . This is a high-exposure, high-intensity role suited for candidates who are genuinely hungry to build something meaningful — comfortable navigating ambiguity, complexity, and executive-level expectations, and willing to fight for outcomes rather than just manage process. Responsibilities Drive end-to-end planning and execution of company-level strategic initiatives, spanning growth, platform risk, trading product experience , and organizational transformation. Own the health and evolution of core trading/platform experience — identifying friction points across the user trading journey and driving cross-functional fixes at the root-cause level, not surface patches. Partner with senior leadership to translate high-level strategy into executable roadmaps and delivery mechanisms. Establish and continuously refine project governance frameworks to improve execution efficiency, visibility, and accountability across teams. Identify cross-team bottlenecks and systemic risk/inefficiency, and drive structural solutions rather than one-off fixes. Lead high-complexity, cross-functional programs (e.g., growth platforms, platform risk controls, trading systems, or platform-level transformations). Support and accelerate company-wide AI transformation initiatives, including: Driving AI adoption across product and operational workflows Coordinating cross-functional AI pilots and scaling best practices Building execution frameworks for AI-enabled delivery models Provide clear executive-level updates on progress, risks, and trade-offs, enabling fast and informed decision-making. Act as a force multiplier for leadership by driving alignment, execution clarity, and organizational velocity. Requirements 5–10 years of experience in strategy PMO, program management, or high-impact project/product delivery roles. Genuinely aggressive and entrepreneurial — someone who wants to build something real, is willing to grind through ambiguity, and treats this as a mission rather than a job. Strong independent thinking and critical reasoning — able to question assumptions, challenge existing frameworks constructively, and form your own point of view rather than just execute. Strong data analysis capability — comfortable working with SQL/data queries and dashboards independently, able to translate ambiguous business questions into structured analysis and defend conclusions with data, not just process narrative. Strong experience driving complex, cross-functional initiatives in fast-paced environments such as: Top-tier management consulting firms Top-tier internet companies (ToC product management background welcome) Global investment banks Fintech, trading, or platform-heavy organizations Proven track record of delivering technically or operationally complex programs (e.g., growth platforms, trading systems, platform risk controls, user safety/experience, infra-heavy initiatives). Strong systems thinking — able to identify root causes and design scalable solutions. Excellent execution skills with a strong bias toward action and outcomes. Strong communication and stakeholder management skills, including experience working with senior executives. High ownership mindset with the ability to operate independently in ambiguous environments. Preferred Qualifications Background in technically or commercially intensive domains such as: Growth / user acquisition platforms Platform risk control systems Trading infrastructure or trading product experience Prior experience as a ToC product manager at a leading internet company, or as a strategy/management consultant at a top-tier firm, or in investment banking (M&A, coverage, or strategy roles). Experience in crypto, fintech, or global-scale consumer platforms. Experience driving AI adoption in product, engineering, QA, or operational workflows. Bilingual (English + Mandarin) to collaborate effectively across global teams. 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: Boston, MA; New York City, NY; San Francisco, CA 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 the Sales Manager for Life Sciences at Anthropic, you’ll lead the foundational team introducing our frontier AI platform to the medtech ecosystem, spanning medical device, diagnostics, and digital health manufacturers. You’ll build and develop a team of Strategic Account Executives who drive adoption of safe, frontier AI by securing strategic deals with large medical device companies, diagnostics providers, and emerging medtech innovators. You’ll bring deep domain fluency in how medical devices are designed, validated, cleared or approved, manufactured, and monitored in the field to coach your team’s consultative sales approach, while becoming a trusted advisor yourself to senior medtech stakeholders, helping them embed and deploy AI across the product lifecycle from design and development through post-market surveillance. In collaboration with Product and Marketing, you’ll continuously refine the team’s value proposition, sales methodology, and market positioning to resonate with decision-makers across each medtech sub-segment. The ideal candidate has a passion for developing new market segments within medtech, pinpointing high-potential opportunities across engineering, regulatory, quality, manufacturing, clinical, and commercial functions, and building a team that can execute strategies to capture them. By driving deployment of Anthropic’s emerging products across medtech organizations, you’ll help them bring safer, better devices to patients faster while advancing the ethical development of AI. Key responsibilities Build and lead a specialized team of Strategic Account Executives covering medical device, diagnostics, and digital health accounts, setting growth targets by sub-segment and coaching reps through the full sales cycle from outbound to close Design and oversee sales strategies tailored to the distinct procurement cycles of medtech, including product development and engineering budgets, quality and regulatory compliance investment, manufacturing and supply chain programs, commercial and field organization budgets, and enterprise IT and digital transformation programs, translating market and trend analysis into account plans and campaigns that meet and exceed team revenue targets Identify and prioritize high-potential opportunities across product design and development, design controls and verification and validation, regulatory affairs and submissions, quality management and CAPA, manufacturing and supply chain, clinical evidence generation, complaint handling and post-market surveillance, and commercial and reimbursement functions, partnering cross-functionally to differentiate Anthropic’s offering for medtech use cases Run a disciplined pipeline and forecasting cadence across the team, managing an evolving sales process to deliver predictable, coachable performance against quota Serve as Anthropic’s domain expert across the medtech value chain, including device design and development, software as a medical device, regulatory submissions (510(k), PMA, De Novo, EU MDR), quality systems, manufacturing, post-market surveillance and vigilance reporting, and commercial launch, and translate that expertise into repeatable playbooks, frameworks, and go-to-market strategies your team and the broader field organization can scale Partner directly with C-suite and senior functional leaders (CEOs, CTOs, CIOs, Chief Quality Officers, CMOs, CCOs, and Heads of R&D, Engineering, and Regulatory Affairs) across medtech organizations to design multi-year AI transformation roadmaps and build long-term trusted advisor relationships Partner closely with Product and Applied AI to translate feedback from design engineers, regulatory and quality professionals, manufacturing teams, clinical affairs, and commercial teams into product and roadmap input, strengthening Anthropic’s value proposition across the segment Build strategic relationships with medtech-focused system integrators, technology vendors (including QMS, PLM, and ERP providers), contract manufacturers, and industry organizations to scale go-to-market capabilities Establish Anthropic’s position as the AI partner of choice across medtech through conference presentations, white papers, case studies, and participation in industry forums Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across medtech accounts Minimum qualifications 10+ years of experience in life sciences, with at least 5 years specifically selling into or working within medical device, diagnostics, or medtech organizations (R&D, engineering, regulatory, quality, manufacturing, or commercial functions, or related consulting) Experience in leadership roles managing or coaching enterprise sales teams, with a track record of driving measurable revenue outcomes in medtech or adjacent life sciences settings Deep understanding of medtech business models, operations, and economics, including the device product lifecycle, the regulatory environment (FDA 21 CFR Part 820 and QMSR, ISO 13485, EU MDR, IEC 62304, 21 CFR Part 11), and competitive dynamics A track record of managing or overseeing complex, multi-stakeholder sales cycles within medtech organizations, securing strategic deals by understanding both technical requirements and engineering, regulatory, quality, and commercial use cases Proven experience exceeding revenue targets by effectively managing a team’s pipeline and an evolving sales process Excellent communication skills, with the ability to present confidently across medtech audiences, from design engineers and quality and regulatory leaders to C-suite executives A genuine interest in deploying AI responsibly and motivation to advance Anthropic’s mission of building safe, beneficial AI Preferred qualifications Deep understanding of buying cycles, decision-making processes, and key pain points across multiple medtech sub-segments (e.g., large device manufacturers, diagnostics, digital health and SaMD) and across functions (engineering, regulatory, quality, manufacturing, commercial) A strategic, analytical approach to assessing the medtech market, paired with creative, tactical execution to capture opportunities and a willingness to roll up sleeves on deals alongside the team Experience developing and refining AI use cases in collaboration with customers and channel partners, spanning design and development, regulatory and quality documentation, manufacturing, post-market surveillance, or commercial functions Experience building or scaling a specialized sales team from an early stage Passion for and/or experience with advanced AI systems and their applications in medical devices and diagnostics, with strong conviction around safe, ethical development of AI in these contexts 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: $450,000 — $700,000 USD 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: Limassol, Cyprus We are looking for an Email Marketing & Deliverability Specialist to manage and optimize Aloplay’s email and SMS campaigns, supporting acquisition, engagement, retention, and cross-selling. This is a hands-on role combining campaign execution, marketing automation, and deliverability management to ensure our communications reach the right users and drive measurable results. Key Responsibilities: Build, launch, and optimize email and SMS campaigns for acquisition and registered users, including cross-selling, promotions, and reactivation. Monitor and improve email deliverability, inbox placement, sender reputation, bounce rates, and spam complaints. Manage sending domains and support email authentication setup and troubleshooting, working with technical teams where needed. Build and optimize automated user journeys, including onboarding, retention, and re-engagement. Segment audiences based on user behaviour, preferences, and lifecycle stage. Maintain list hygiene, suppression rules, and communication preferences. Monitor campaign performance and report on delivery, clicks, conversions, and commercial impact. Run A/B tests to improve messaging, offers, timing, and campaign results. Work with Marketing, Product, and BI to support growth initiatives and troubleshoot campaign or data issues. Use AI coding tools, such as Codex or Claude Code, to build small tools, scripts, or automations when needed. Required Skills & Experience: Hands-on experience in email marketing, marketing automation, or CRM campaign execution. Practical experience monitoring and improving email deliverability and sender reputation. Understanding of SPF, DKIM, DMARC, list hygiene, and email sending best practices. Experience with CRM or marketing automation platforms such as Smartico, Braze, Customer.io, or similar. Experience building audience segments, automated journeys, and targeted campaigns. Ability to analyze campaign performance and turn findings into improvements. Strong execution skills, attention to detail, and ownership of campaign quality. Basic technical understanding of APIs, data flows, or simple scripting. Ability to use AI coding tools to create simple applications or automations when needed. Nice to Have: Experience in iGaming or another high-volume B2C environment. Hands-on experience launching and optimizing SMS campaigns. Experience with email service providers, SMS gateways, and messaging integrations. Basic SQL and HTML/CSS knowledge. Experience with WhatsApp, push notifications, or in-app messaging. What Success Looks Like: Strong email deliverability and healthy sender reputation. Reliable, timely execution of email and SMS campaigns. Improved engagement, conversions, retention, and cross-selling. Clear performance reporting and continuous campaign improvement. Efficient execution of ad hoc needs through automation and simple tools. Apply now and let’s achieve success together Apply at https://aloplay.bamboohr.com/careers/76?source=aWQ9MTg%3D to become a member of our amazing team! We appreciate all applicants' interest in our open position. Due to the large number of applications, only those who are being considered for the role will be contacted. All applications will be handled with the utmost confidentiality.

Location: Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Casablanca, Morocco; Cairo, Egypt; Delhi, India Müller’s Solutions is looking for a skilled Google Cloud Security Engineer to enhance our cloud security framework and protect our critical systems and data on Google Cloud Platform (GCP). In this role, you will be responsible for identifying security vulnerabilities, implementing robust security measures, and ensuring compliance with industry standards while safeguarding our cloud architecture and applications. Key Responsibilities: Design, implement, and manage security controls and procedures for GCP services and resources. Perform risk assessments and security reviews to identify vulnerabilities and prioritize remediation measures. Monitor and analyze security alerts, events, and incidents across the cloud environment. Develop and enforce security policies, standards, and best practices for cloud operations. Implement Identity and Access Management (IAM) policies to control access to GCP resources effectively. Conduct regular security assessments and collaborate with development teams to ensure secure coding practices. Stay up to date with the latest security threats, vulnerabilities, and trends in cloud security. Provide security training and awareness for engineering teams to promote a security-first culture. Collaborate with incident response teams to investigate and respond to security incidents effectively. Maintain documentation of security policies, architecture, and processes related to GCP. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field. 3+ years of experience in cloud security, specifically within Google Cloud Platform. Strong knowledge of cloud security best practices, frameworks, and compliance (e.g., ISO 27001, NIST, GDPR). Experience with GCP security tools and services, including Security Command Center, Cloud Armor, and Cloud Identity. Expertise in Identity and Access Management (IAM), data encryption, and security configurations in GCP. Familiarity with network security principles and solutions, such as firewalls and VPNs. Excellent analytical and problem-solving skills, with the ability to handle complex security scenarios. Strong communication skills to effectively convey technical information to diverse audiences. Preferred Qualifications: Google Cloud certifications (e.g., Google Cloud Professional Cloud Security Engineer) are desirable. Experience in scripting or programming languages, such as Python or Bash, for security automation. Knowledge of DevSecOps practices and tools. Experience with tools like SIEM, vulnerability scanners, and penetration testing frameworks. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.