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Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3-5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding etc) Intermediate programming skills Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: New York; San Francisco; London Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re hiring an Enterprise Account Executive to accelerate Modal’s growth with the world’s most innovative AI companies. This is a high-impact role where you’ll own the full sales cycle—from building pipeline to closing large, strategic enterprise deals. You’ll partner directly with our founders, engineering, and product teams to help customers harness Modal’s infrastructure to train, deploy, and scale AI applications. You’ll be expected to operate as a builder: developing new relationships, shaping our GTM motion, and serving as the voice of the customer inside Modal. The ideal candidate is both technically curious and commercially driven—equally comfortable in a room with C-level executives and with machine learning engineers. In this role, you will: - Drive new business by generating pipeline, negotiating, and closing complex enterprise deals - Build deep, trusted relationships with technical and executive stakeholders at leading AI companies - Run proof-of-concepts and pilots in close collaboration with our solutions and engineering teams - Expand existing accounts by identifying growth opportunities and helping customers scale their workloads - Bring structured customer feedback to influence Modal’s product roadmap and GTM strategy - Contribute to the foundation of Modal’s sales process, culture, and playbooks as we scale the team REQUIREMENTS: - 7–10+ years of enterprise software sales experience, ideally in infrastructure, ML/AI, or developer-focused platforms - Track record of consistently exceeding $1M+ annual quotas and closing six- and seven-figure enterprise deals - Strong technical acumen—able to communicate infrastructure and AI concepts with both engineers and executives - Experience leading proof-of-concepts and managing complex procurement processes - Excellent communication, negotiation, and relationship-building skills - Comfortable in an early-stage, fast-moving environment; excited to help shape systems and processes from the ground up - Ability to work in-person from our office 5 days a week

Location: Home based - Worldwide Open source software is the new default in the enterprise, and Canonical is the new challenger to major enterprise software vendors. We are profitable and growing our global enterprise sales organisation. We are hiring regional sales team managers in Europe, Middle East, India, Asia, ANZ, Africa, Latin America, Central America and North America, each of whom will lead a team of five to ten enterprise sales representatives. We deliver better open source from the data center to cloud and edge. Our Linux distribution Ubuntu is now the leading platform for public cloud compute, and the favorite platform for software engineers, data scientists and AI developers. Our mission is to accelerate the adoption and quality of open source globally, and our goal is to ship the most software on the planet by cores. A tidal wave of open source innovation is the next phase of the entire enterprise software industry, and we aim to be the most compelling way to ride that wave. Our customers include Global 500 enterprises and startups. We are expanding our product range from the base operating system - Ubuntu - to full enterprise solutions in infrastructure and applications. We can deliver software defined storage, private cloud solutions, container runtime environments, as well as databases, message queues, identity, observability, analytics, machine learning and web publishing capabilities. Customers love the idea that they can get security compliance and support for everything open source from a single company. Our goal is to have more solutions on tap than any other vendor, and we have built unique capabilities to make that possible across every cloud, every class of compute and every category of application. Canonical provides licensed enterprise software products, commercial support, managed services, consulting and training services to customers who are deploying Ubuntu or open source applications on the cloud, in their data center, or to the connected device and IoT ecosystem. We are just over 1,000 colleagues in 70+ countries and over $250m in revenue, profitable, on a steady but relentless growth trajectory. We are almost entirely distributed, with leadership spread across many countries. We believe that talent is equally distributed across the globe, and we are excited to hire, develop, promote and ultimately trust a diverse group of exceptional leads to build the best, not biggest, enterprise software company. We hire carefully and deliberately; our selection process is long and requires substantial work from applicants. It will take successful applicants three to six months to secure an offer. This is not a place to apply if you are in a rush to find a position, it is a worthwhile place to apply if you are ambitious and long-term in your thinking about your career and the dynamics which move the world forward. If you see clearly the rise of open source, and you understand the drivers of enterprise procurement and technical decision making, then you will understand why Canonical has such a tremendous long term advantage. You will also understand, given the ferocity of competition and the challenges of competing in a market of giants, that we have to set a very high bar for hiring and performance. In order to be a world leading company we select for exceptional ability as well as character, and then provide an environment which promotes teamwork and celebrates diligence, collaboration and effectiveness. All of those are easy to say but hard to do - at Canonical we are willing to be uncomfortable in pursuit of that excellence. In building our sales team, we look for five things: Empathy for the customer - a real understanding of customer needs, industry-specific challenges, and a desire to help customers solve their business problems High intellect - the ability to learn quickly, understand very complex subjects, and communicate clearly to build trust and confidence Passion for technology - a fascination with the state of the art from brilliant people solving hard problems, and fierce competition for large prizes Teamwork - a willingness to help others, to collaborate well with people from different disciplines, and to balance personal and team ambitions Energy - the drive to motivate oneself and others to achieve the best result for the team and our customers Ubuntu is already very widely adopted which gives us a credible basis for conversations in the market. Nevertheless, it requires real work for sales professionals to build on that adoption to create trusted and profitable commercial relationships with the enterprises in their territory. Our product managers and marketing teams run campaigns to generate awareness, engagement and leads, but you will need to go beyond managing inbound interest to develop the potential of your territory. You will need judgement as to which industries and companies are ready to go deeper with open source and Canonical, and energy to develop relationships in advance of proven interest. We expect professional practice, territory and account planning, as well as clear, complete and continuous reporting on pipeline status and activity, using standard professional tools. The successful candidate will carry an annual team bookings quota within their territory. They should be able to travel regionally for client engagements or, industry conferences, and internationally for company events twice a year. They will be expected to demonstrate professionalism and effectiveness in managing their team. They will need to coach, mentor and lead by example. Their sales representatives are expected to prospect accounts for new business, maintain and develop existing relationships, and work with colleagues and partners on account strategy. They must be comfortable selling enterprise software, open source, cloud, virtualization, container technologies and technical software solutions to senior levels of the enterprise. Location: We are expanding our sales organisation globally and have open sales team manager roles in every region. What your day will look like Build and execute a territory plan to prioritize outreach and prospecting Allocate portions of territory and accounts to sales representatives on your team Identify and prioritise new logo accounts in your territory for account-based marketing and prospecting Ensure that sales representatives have high quality account plans for existing accounts and priority prospects Monitor new pipeline development by your team, through outreach, prospecting, local marketing, and industry events Support contract closure to meet and exceed quarterly and annual bookings targets Be mindful and proactive in achieving tactical and strategic objectives Work with customer success to identify growth opportunities Ensure your team maintain accurate pipeline data and forecasts within Salesforce Represent the company, its solutions and software What we are looking for in you Bachelor's level degree, preferably in engineering or computer science Leadership and management skill Experience of open source technology and solutions Detail oriented with effective planning, organisation and reporting skill Experience in enterprise software or technology sales planning and execution Track record of achievement in sales targets and new account wins Self-discipline and motivation to be successful in a distributed team Professional written and spoken English, as well as any language that may be appropriate for your target market Ability to travel for customer engagements, industry events and company events Additional skills of interest Specific vertical experience, in particular finance, telco, health, energy, public sector, tech Experience speaking at conferences or industry events What we offer you We consider geographical location, experience, and performance when shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven commission structure. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team meetings in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Program Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a fully distributed company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Yerevan, Armenia Description We are seeking a Data Product Owner to lead the vision, strategy, and execution of our data and AI/ML products. This role bridges business stakeholders, data engineering, and data science, ensuring that our data assets, analytics platforms, and machine learning models deliver measurable value. The ideal candidate combines product management expertise with strong knowledge of data, analytics, and applied AI/ML. Responsibilities Define and own the roadmap for data and AI/ML products (data platforms, APIs, dashboards, predictive models, recommendation engines, NLP/vision solutions, etc.) Translate business goals into AI/ML-enabled product strategies that drive automation, insights, and competitive advantage Partner with business stakeholders to identify opportunities where AI/ML and advanced analytics can create value Act as the key interface between data scientists, engineers, and business units, aligning priorities across teams Maintain and refine product backlog; write detailed user stories with business and technical acceptance criteria Work closely with data scientists to design, build, and deploy ML models into production Ensure data quality, explainability, scalability, and performance are built into all products Oversee the lifecycle of ML models (development, deployment, monitoring, retraining) Ensure data and AI/ML products comply with internal policies and regulatory requirements (GDPR, responsible AI, gaming/financial regulations) Have minimal knowledge in MLOps, metadata management, and data governance Requirements Proven experience as a Product Owner / Product Manager in data, AI/ML, or analytics-focused products Strong understanding of data science workflows, machine learning lifecycle Domain knowledge in iGaming, fintech, or other data-intensive industries Understanding of responsible AI, model explainability, and bias mitigation Ability to identify and prioritize high-value AI/ML use cases Familiarity with data engineering and BI platforms Hands-on exposure to AI/ML concepts (predictive modeling, NLP, computer vision, recommendation systems) Excellent communication and stakeholder management skills, with the ability to align technical and business teams Experience with Agile/Scrum and product backlog management

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The team The Hardware Automation team builds the internal platforms and tooling that power how Nebius operates its data center infrastructure at scale. Our mission is to eliminate manual effort, reduce human error, and give every team in the Hardware Infrastructure department real-time visibility and control over the systems they own. We operate as a product engineering team embedded within hardware infrastructure — meaning we don't just write requirements and hand them off. We own the full stack: from requirements gathering with data center operations and hardware engineering, through design and build, all the way to rollout and ongoing reliability. The role Ensure fault-tolerance, scale and uninterrupted operations for our services. Use cutting-edge technology to solve a variety of infrastructure problems. Implement and improve CI/CD processes. We expect you to have : Proficiency in Linux systems, with expertise in Python and Bash scripting for automation. Demonstrated ability to troubleshoot complex system issues, including hardware, software and networking problems. Strong analytical and problem-solving skills, with a focus on optimizing system performance. Working proficiency in English. It would be an added bonus if you had : Desire to be involved in backend development. Experience designing, developing and running high-load distributed systems. 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: Dnipro, Ukraine; Kharkiv, Ukraine; Kyiv, Ukraine; Lviv, Ukraine; Odesa, Ukraine; Sambir, Ukraine Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Full Stack Developer with expertise in Node.js and React to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Design and develop our company website from the ground up using React and Node.js Create responsive, user-friendly interfaces that showcase our brand and services Implement backend API services and database architecture using Node.js Ensure code quality, performance optimization, and cross-browser compatibility Collaborate with design and business stakeholders to translate requirements into technical solutions Deploy and maintain website infrastructure in cloud environments Implement analytics, SEO best practices, and performance monitoring 3+ years experience with modern JavaScript/TypeScript development Strong proficiency with React , including hooks, context API, and state management Extensive experience with Node.js and Express.js for backend development Familiarity with database systems (MongoDB, PostgreSQL, or similar) Experience with RESTful API design and implementation Version control with Git and CI/CD pipeline knowledge Understanding of web security best practices and performance optimization Nice-to-Have Skills: Experience with Next.js or similar React frameworks Knowledge of cloud services (AWS, Azure, or GCP) Understanding of containerization (Docker, Kubernetes) UI/UX design sensibilities Experience with analytics implementation and SEO optimization Content management system integration Benefits: Competitive compensation package Flexible remote work environment Professional development opportunities Collaborative and innovative company culture Opportunity to shape the technical direction of a growing company Direct impact on company success and visibility

Location: Serbia POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast - and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative. The Impact You’ll Make As a Senior DevOps Engineer at Incode, you will be the backbone of our cloud infrastructure. You'll architect and evolve scalable, cloud-native systems that power secure and seamless identity experiences, leveraging Kubernetes (AWS EKS), Terraform, and AWS. Your work will accelerate deployments, fortify monitoring and observability, and ensure reliability at global scale. Partnering closely with our developers, you'll transform complex challenges into resilient, automated solutions that keep our applications highly available and performant. You will be a key enabler of speed, trust, and innovation - driving how Incode builds, delivers, and scales AI-driven identity verification for the world. On-call, up front: the DevOps team does not carry 24/7 on-call. A separate SRE team owns incident response. What You’ll Own & Drive Cloud-Native Infrastructure - Design, implement, and maintain Kubernetes-based environments (AWS EKS) that deliver scalability, resilience, and security. Infrastructure as Code (IaC) - Implement and manage Terraform-driven automation to ensure consistency, repeatability, and reliability across all client deployments. Production Reliability - Troubleshoot and resolve issues in live environments, minimizing downtime and ensuring seamless customer experiences. Monitoring & Logging - Build and optimize observability solutions with Prometheus, Loki, ELK, or similar stacks, tailoring systems to business and performance needs. GitOps & Delivery - Work with ArgoCD-based GitOps workflows as part of the deployment pipeline, alongside GitHub Actions CI/CD. Engineering Standards - Contribute to and refine internal best practices, methodologies, and automation frameworks that elevate the DevOps culture. Continuous Innovation - Stay on top of AWS and DevOps advancements, introducing new tools and approaches that enhance speed, efficiency, and scalability. The Qualities That Set You Apart Cloud-Native Builder - You bring proven expertise in designing, deploying, and managing applications on Kubernetes, with a deep understanding of its architecture and core concepts. Infrastructure as Code Champion - You’re highly skilled with Terraform, driving automation and consistency across complex environments. Pipeline Innovator - You have hands-on experience implementing and optimizing CI/CD workflows using GitHub Actions, accelerating delivery while ensuring quality. AWS Practitioner - You possess a strong command of core AWS services (EC2, VPC, S3, IAM, etc.) and know how to leverage them for scalable, secure solutions. Observability Builder - You've personally configured, tuned, or debugged a self-hosted monitoring stack (Grafana with Prometheus or VictoriaMetrics), not just consumed dashboards someone else built. Systems & Networking Thinker - You understand networking fundamentals - TCP/IP, DNS, HTTP/S - and apply them to build reliable, high-performance systems. Clear Communicator - You excel at translating technical solutions into language that resonates with both technical peers and non-technical stakeholders. Your Background 6+ years of proven experience as a DevOps Engineer or in a similar role. Hands-on experience deploying and managing Kubernetes-based applications, ideally on AWS EKS. Strong expertise in Terraform and infrastructure automation. Experience designing and implementing CI/CD pipelines with GitHub Actions. Solid understanding of AWS services including EC2, VPC, S3, IAM, and related offerings. Knowledge of networking protocols and best practices (TCP/IP, DNS, HTTP/S). Hands-on ownership of a Prometheus or VictoriaMetrics-based observability stack, including performance and scaling issues. Strong written and verbal communication skills, with the ability to present technical solutions effectively. Why Incode? Mission with Meaning - Shape how billions of people prove identity - safely, simply, and ethically. Rocket-Ship Growth - Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing - Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy - Operate like a founder with the resources of a unicorn. Global Impact - Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: Worldwide Cloud Services Team: We are looking for a skilled Database Administrator with proven experience in designing, implementing, and managing large-scale, high-performance database systems. In this role, you will be responsible for ensuring the reliability, scalability, and security of mission-critical databases across multiple technologies and environments. Challenges that await you: Architect and optimize database infrastructures to support large-scale, high-traffic workloads. Administer and maintain clusters across PostgreSQL Design and operate backup, recovery, and disaster recovery strategies, ensuring business continuity. Automate operational processes, including scaling, monitoring, and maintenance, using infrastructure-as-code (Terraform,OpenTofu, CloudFormation), Ansible, Gitlab CI Optimize performance at every layer: schema design, query execution, indexing, caching, and storage. Configure and manage replication and sharding strategies for high availability, fault tolerance, and geo-distribution. Ensure compliance with SOC 2, HIPAA, GDPR, and enforce database security best practices. What makes you a great fit: 3+ years of hands-on experience as a DBA in production-grade, distributed environments. Deep knowledge of PostgreSQL Proven expertise in managing databases across major cloud platforms ( Amazon Web Services , Google Cloud Platform , Azure, Yandex Cloud ) Advanced expertise in SQL query tuning, schema optimization, and indexing strategies. Strong experience with replication, partitioning, and clustering in high-availability systems. Proficiency in backup, restore, and failover mechanisms in multi-AZ and multi-region setups. Skills in automation and scripting (Python, Bash, Go). Familiarity with Kubernetes-based deployments(example operator Zalando for PG,Strimzi Kafka) and modern observability stacks (Prometheus, Datadog, AWS CloudWatch). B1 or higher English level for effective communication with an international team Your bonus skills: Experience with IaC tools (Terraform, OpenTofu, CloudFormation). Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment : a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to Mexico, Serbia, Cyprus, Spain, Kazakhstan, Georgia with full visa & permit support to the employee and family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation policy: 20 days of annual leave and paid sick leave

Location: Palo Alto, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities As Staff Product Manager for AI-Powered Developer Experience , you will own the customer-facing authoring, testing and debugging experiences that technical and business users rely on to build sophisticated automations in Workato. You will make complex enterprise orchestration easier to create, understand, test and troubleshoot - while introducing AI-powered assistance that accelerates development without sacrificing control, transparency or reliability. Enable Advanced Integration Patterns Support complex enterprise patterns including scatter-gather and asynchronous processing Build capabilities for multiple trigger configurations and conditional routing Deepen debugging capabilities such as mid-job reruns and viewing logs in loops Ensure the platform can handle sophisticated error handling and compensation patterns Drive innovation in how users visualize and manage complex workflow orchestrations Leadership in Builder Experience Innovation Develop and execute the product strategy for comprehensive authoring experiences across the entire automation lifecycle Define and prioritize the roadmap for next-generation builder capabilities including AI-powered copilot features, advanced debugging tools, and intelligent assistance Champion user-centric design principles to ensure the builder experience delights users at every skill level Drive adoption of advanced integration patterns including multiple triggers, scatter-gather, and promise-based architectures Drive AI-Powered Development Assistance Integrate AI copilot capabilities to accelerate automation development through intelligent code suggestions and pattern recognition Build smart error detection and resolution features that guide users to successful implementations Leverage machine learning to provide contextual help and recommendations based on user behavior and common patterns Partner with AI research teams to infuse intelligence throughout the authoring experience Build Comprehensive Development Tools Own the macro-view experience for managing multiple assets working together, ensuring seamless collaboration and reusability Deliver micro-view capabilities for deep debugging of individual steps, loops, and data transformations Implement robust design-time testing capabilities that reduce errors before deployment Create sophisticated undo/redo mechanisms, draft management, and autosave features that protect user work Lead Cross-Functional Execution Collaborate closely with engineering, UX, and architecture teams to deliver seamless builder experiences Partner with Platform Experience PM to ensure consistency across the platform Work with customer success and support teams to understand pain points and iterate on solutions Act as the voice of the builder, advocating for developer and business user needs across the organization Requirements Leadership & Product Management 8+ years of product management experience in SaaS or B2B environments, with focus on developer tools or low-code/no-code platforms Proven success in shipping complex authoring experiences that balance simplicity with power Strong track record of improving developer productivity metrics and user satisfaction scores Experience leading cross-functional initiatives that require deep technical understanding and user empathy Builder & Developer Tools Expertise Deep expertise in IDE design, code editors, visual programming interfaces, and debugging tools Strong understanding of both low-code/no-code paradigms and traditional development workflows Experience with modern development practices including version control, CI/CD, and collaborative development Hands-on experience with automation platforms, iPaaS solutions (Zapier, Make, Mulesoft, Boomi), or workflow builders Familiarity with AI-assisted development tools and copilot technologies Technical Foundation Strong technical background with ability to understand complex integration patterns and distributed systems Experience with API design, data transformation, and enterprise integration patterns Understanding of performance optimization, scalability challenges, and enterprise-grade requirements Ability to work closely with engineering teams on technical architecture decisions AI & Intelligent Automation Experience integrating AI/ML capabilities into development tools to enhance productivity Understanding of natural language processing for intent recognition and code generation Familiarity with predictive analytics for error prevention and performance optimization Vision for how AI can transform the development experience without sacrificing control Customer-Centric Execution Ability to deeply understand the needs of diverse user personas from citizen developers to enterprise architects Proven ability to translate complex technical concepts into intuitive user experiences Track record of using data, user research, and feedback to drive product decisions Experience balancing the needs of technical and non-technical users in a single platform Analytical & Data-Driven Decision Making Strong ability to define and track metrics that matter for developer productivity and satisfaction Experience with A/B testing, feature experimentation, and iterative improvement Ability to analyze usage patterns to identify opportunities for simplification and automation Data-driven approach to prioritization and roadmap planning Educational Background Bachelor's Degree in Computer Science, Engineering, Human-Computer Interaction, or a related field An advanced degree is a plus but not required Job Req #2285

Location: London; Europe; New York; Paris; Toronto 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! Role overview: Code-generating LLMs and autonomous agents are revolutionizing how software is built and tasks are automated. At Cohere, we’re pushing the boundaries of what’s possible with these technologies for enterprises, and we’re looking for a senior member for the Agent Code team. You’ll be at the forefront of research and engineering, driving the development of cutting-edge code LLMs and agent systems that can interact with the digital world to solve complex tasks with minimal human oversight. This role is hands-on and research-driven. You’ll dive into the latest literature on code LLMs and agents, experiment with frontier models, and collaborate with a team of talented engineers and researchers to build scalable, production-ready solutions. At Cohere, we blend engineering and research seamlessly—everyone contributes to both, depending on their interests and organizational needs. We provide access to world-class compute resources, data, and talent to ensure you can do your best work. Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration. Key responsibilities: - Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems. - Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling. You will be collaborating with the pretraining team, create SFT trajectories and work on existing and new RL algorithms - Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users - Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs. Qualifications: - A PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP). - Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends. We are looking for people who not only have worked with code models, but have actively contributed to their development - Hands-on experience with frontier LLMs and their applications in code generation or automation. - Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks. - Experience with distributed systems, cloud infrastructure, and scalable architectures. - A proactive, self-motivated mindset, with a passion for solving ambitious, open-ended problems. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. 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: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for a Software Engineer, Trust & Safety, to design, build, and operate the large-scale, real-time distributed systems that stop abuse and fraud on the platform, including fraud committed through AI agents, fraud that abuses deployments and compute resources, and payment fraud on token-based usage. You will write the services, detection systems, and large language model (LLM) tooling that disrupt abuse at internet scale. This is a hybrid role based in San Francisco or New York City, with three days a week in the office. What you’ll do: Design and build production services that detect and disrupt fraud committed through AI agents, fraud that abuses deployments and compute resources, and payment fraud on token-based usage Build detection systems that find abuse patterns across large datasets Ship LLM-driven systems for abuse detection, classification, and prevention, and build the datasets and evaluation pipelines that measure them Build and maintain internal tools for trust and safety workflows Analyze threat actor behavior to inform detection logic, and work with security, product, and infrastructure teams to move prototypes into stable production What you need: 5+ years of software engineering experience building large-scale, real-time distributed systems Wrote and shipped production code in JavaScript/TypeScript and Python, owning systems end to end from prototype through deployment and iteration Hands-on LLM experience, including prompt engineering, evaluation, and fine-tuning Operated production services on AWS Bonus if you: Shipped an AI-based trust and safety system to production Worked in abuse prevention, trust and safety, or security engineering Built or hosted a project on Vercel Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: London, Paris, Zurich Eligible candidates : Final-year PhD students or postdoctoral researchers Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. Our culture is centred around technology, automation, and industrialized processes. We operate in multiple languages from C++ to Python and embrace open-source software. Your future role within QRT You will join a team of quantitative researchers to learn how to design trading algorithms in a real-world data environment – a fast track to become a seasoned quantitative researcher. Surrounded by peers who have successfully transitioned from academia to applied research, you will receive mentorship from experienced professionals who will help you translate your theoretical expertise into real-world impact. The research environment at QRT is designed to be collaborative and intellectually stimulating. Within one of QRT's systematic teams - spanning high, mid, and low-frequencies - your core objective will be to develop high-quality predictive signals: Leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborate with fellow researchers to exchange ideas and refine methodologies. Translate theoretical models into production-ready signals. Lead the full research cycle - from idea generation to implementation. Your present skillset Holding or pursuing a PhD (final year) degree in a quantitative field such as statistics, mathematics, physics, biology, computer science, or engineering. A pragmatic attitude towards translating theoretical models into real-world data problems. Proficiency in Python (preferred) or another leading programming language such as R, MATLAB, C++, or C#. Experience working with large datasets across multiple time frames (a plus). Ability to multitask in a fast-paced environment with attention to detail. Intellectual curiosity to explore new data, solve complex problems, and connect ideas across disciplines. Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise. Strong communication skills. Fluency in English (additional languages are a plus). Interviewing: Apply online: All applications are reviewed by our Talent Acquisition Team, on a rolling basis. Interviews: Conducted on-site or via Teams, they assess both your technical expertise and alignment with our collaborative culture. We invite candidates for the Quantitative Research position to take part in one of our Data Challenges. This task is designed to give you insight into the daily responsibilities of the role and allows us to assess your abilities and interest: Challenge data (ens.fr) QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance

Location: Home based - Worldwide This is a general track role, hiring for opportunities across all levels of seniority in our Sales Teams. Apply here if you believe you possess outstanding revenue generating experience from the Technology industry. Open source software is the new default in the enterprise, and Canonical is the new challenger to major enterprise software vendors. We deliver better open source from the data center to cloud and edge. Our Linux distribution Ubuntu is now the leading platform for public cloud compute, and the favorite platform for software engineers, data scientists and AI developers. Our mission is to accelerate the adoption and quality of open source globally, and our goal is to ship the most software on the planet by cores. A tidal wave of open source innovation is the next phase of the entire enterprise software industry, and we aim to be the most compelling way to ride that wave. Our customers include Global 500 enterprises and startups. We are expanding our product range from the base operating system - Ubuntu - to full enterprise solutions in infrastructure and applications. We can deliver software defined storage, private cloud solutions, container runtime environments, as well as databases, message queues, identity, observability, analytics, machine learning and web publishing capabilities. Customers love the idea that they can get security compliance and support for everything open source from a single company. Our goal is to have more solutions on tap than any other vendor, and we have built unique capabilities to make that possible across every cloud, every class of compute and every category of application. Canonical provides licensed enterprise software products, commercial support, managed services, consulting and training services to customers who are deploying Ubuntu or open source applications on the cloud, in their data center, or to the connected device and IoT ecosystem. We are just over 1,000 colleagues in 70+ countries and $250m in revenue, profitable, on a steady but relentless growth trajectory. We are almost entirely distributed, with leadership spread across many countries. We believe that talent is equally distributed across the globe, and we are excited to hire, develop, promote and ultimately trust a diverse group of exceptional leads to build the best, not biggest, enterprise software company. We hire carefully and deliberately; our selection process is long and requires substantial work from applicants. It will take successful applicants three to six months to secure an offer. This is not a place to apply if you are in a rush to find a position, it is a worthwhile place to apply if you are ambitious and long-term in your thinking about your career and the dynamics which move the world forward. If you see clearly the rise of open source, and you understand the drivers of enterprise procurement and technical decision making, then you will understand why Canonical has such a tremendous long term advantage. You will also understand, given the ferocity of competition and the challenges of competing in a market of giants, that we have to set a very high bar for hiring and performance. In order to be a world leading company we select for exceptional ability as well as character, and then provide an environment which promotes teamwork and celebrates diligence, collaboration and effectiveness. All of those are easy to say but hard to do - at Canonical we are willing to be uncomfortable in pursuit of that excellence. In building our sales team, we look for five things: Empathy for the customer - a real understanding of customer needs, industry-specific challenges, and a desire to help customers solve their business problems High intellect - the ability to learn quickly, understand very complex subjects, and communicate clearly to build trust and confidence Passion for technology - a fascination with the state of the art from brilliant people solving hard problems, and fierce competition for large prizes Teamwork - a willingness to help others, to collaborate well with people from different disciplines, and to balance personal and team ambitions Energy - the drive to motivate oneself and others to achieve the best result for the team and our customers Ubuntu is already very widely adopted which gives us a credible basis for conversations in the market. Nevertheless, it requires real work for sales professionals to build on that adoption to create trusted and profitable commercial relationships with the enterprises in their territory. Our product managers and marketing teams run campaigns to generate awareness, engagement and leads, but you will need to go beyond managing inbound interest to develop the potential of your territory. You will need judgement as to which industries and companies are ready to go deeper with open source and Canonical, and energy to develop relationships in advance of proven interest. We expect professional practice, territory and account planning, as well as clear, complete and continuous reporting on pipeline status and activity, using standard professional tools. The successful candidate will carry an annual bookings quota within their assigned territory. They should be able to travel regionally for client engagement, industry conferences, and internationally for company events twice a year. They will be expected to demonstrate professionalism and effectiveness, to prospect accounts for new business, maintain and develop existing relationships, and work with colleagues and partners on account strategy. They must be comfortable selling enterprise software, open source, cloud, virtualization, container technologies and technical software solutions to senior levels of the enterprise. Location: We are expanding our sales organisation globally and have open roles in every region. What your day will look like Represent the company, its solutions and software, in your territory Build and execute a territory plan to prioritize outreach and prospecting Develop new pipeline through outreach, prospecting, local marketing, and industry events Close contracts to meet and exceed quarterly and annual bookings targets Be mindful and proactive in achieving tactical and strategic objectives Manage customer relationships and interactions through all stages of the sales cycle Work with field engineers to propose solutions that solve our customers’ business problems Work with customer success to identify growth opportunities Maintain accurate pipeline data and forecasts within Salesforce Establish productive professional relationships with key influencers and decision makers What we are looking for in you Bachelor's level degree, preferably in engineering or computer science Experience of open source technology and solutions Detail oriented with effective follow-up Experience in enterprise software or technology sales planning and execution Track record of achievement in sales targets and new account wins Self-discipline and motivation to be successful in a distributed team Professional written and spoken English, as well as any language that may be appropriate for your target market Ability to travel for customer engagements, industry events and company events Additional skills of interest Specific vertical experience, in particular finance, telco, health, energy, public sector, tech Experience speaking at conferences or industry events What we offer you We consider geographical location, experience, and performance when shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven commission structure. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Program Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a fully distributed company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Cairo, Egypt As a Systems and Cloud Administrator at Müller’s Solutions, you will be responsible for the administration, maintenance, and optimization of our cloud infrastructure and on-premises systems. This role requires a solid understanding of cloud technologies and system administration tasks, where you will ensure the reliability, security, and efficient operation of the systems and cloud environments while providing excellent support to our users. Key Responsibilities: Administer and optimize cloud services across platforms like AWS, Azure, or Google Cloud. Manage on-premise servers and ensure optimal performance and availability. Implement and maintain security best practices in both cloud and server environments. Troubleshoot, monitor, and resolve system issues proactively to minimize downtime. Support the deployment of applications and services in the cloud, ensuring integration with existing systems. Collaborate with development and operations teams to ensure smooth transitions from development to production environments. Document system configurations, procedures, and troubleshooting steps to build a knowledge base. Assist with backup and recovery processes, ensuring data integrity and disaster recovery readiness. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 3-5 years of experience as a Systems Administrator or Cloud Administrator. Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud. Experience with server administration, including Windows and Linux operating systems. Familiarity with scripting languages (e.g., PowerShell, Bash) to automate tasks. Excellent analytical and troubleshooting skills for resolving system-related issues. Strong communication skills to effectively collaborate with team members and stakeholders. Preferred Qualifications: Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Administrator) are a plus. Experience with configuration management tools (e.g., Terraform, Ansible) to enhance infrastructure deployment. Knowledge of networking concepts, security protocols, and virtualization technologies. Ability to manage multiple tasks and projects in a fast-paced environment.

Location: London, UK Workplace: OnSite Recraft is a graphic design research lab building state-of-the-art image generation models and tools for designers, illustrators, marketers, and developers. Founded in 2022 and based in London, we build for commercial design standards: full creative control, style consistency, and native vector outputs, an API for teams who want to integrate that capability directly into their workflows, plus mobile app for those who prefer not to be distracted from the process without a computer. Over 3 million creators across 190+ countries use Recraft. Our mission is to help everyone who works with visuals get the job done, without lowering the bar on design. If you want to help set that standard, we'd like to hear from you. JOB DESCRIPTION We are looking for experienced Research Engineers to develop and optimise AI models, conduct cutting-edge research, and push the boundaries of AI and machine learning. Whether your expertise lies in AI model development, applied research, or production-level deployment, this role offers the opportunity to work at the forefront of generative AI innovation. KEY RESPONSIBILITIES - Develop and train large-scale generative models, pushing the boundaries of AI capabilities. - Design and run experiments to explore and refine model architectures, analyze results, and implement data-driven improvements. - Continuously innovate by developing and deploying new features that enhance user experiences. ‍ REQUIREMENTS - Proven experience in training large-scale generative models (e.g., image generation, audio synthesis, or large language models). - Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics. - Strong proficiency in PyTorch and familiarity with state-of-the-art neural network architectures. - Hands-on experience building end-to-end machine learning pipelines, including data collection and pre-processing, model training and evaluation, inference serving. - Strong software engineering skills, ability to design, implement and maintain high-quality code. - English: B2+ (Upper-Intermediate or above), written and spoken. ‍ WHAT WE OFFER - Competitive salary and equity. - Opportunities for professional growth and leadership. - A collaborative, research-driven environment. - The chance to work on cutting-edge AI projects that redefine creative workflows. - The opportunity to contribute to open-source AI research and publications. - Full-time, on-site role. - We’re able to offer Skilled Worker visa sponsorship in the UK for qualified candidates. ‍

P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower Mobile Operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across 84 mobile network operators in 58 countries. We are looking for a 5G ZTE Engineer (both remote and onsite positions are available) to join our team. Job Responsibilities: Perform network optimization and network audit to meet customer requirements, Provide 5G deployment and optimization strategy support (Layer management and traffic steering strategy, NSA/SA, spectrum strategy, site densification, network sharing, TDD RN optimization, DSS, network slicing, spectral efficiency) for customers, Focus on executing audit and optimization of services, where you will be accountable for part of the solution and of the service process, Keep time, performance and quality according to company requirements and customer contracts, Provide an optimization solution for NR & LTE and trace the solution to collaborate with operators to implement it, Design and plan wireless site for network with simulation tool (added advantage), New feature testing, technical discussion, and integration troubleshooting support. Job Requirements 10+ years of experience in radio planning & optimization, Minimum 3 years of experience on 5G ZTE and 5 years of 4G, Hands on ZTE vendor algorithm & tools, NetNumen, UME, NetMax, NGI, Capability of KPIs analysis and optimization, Complaints handling, drive test log files analysis, Familiar with radio planning tool and optimization tools, able to use the tools to work in high efficiency way.

P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower Mobile Operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across 84 mobile network operators in 58 countries. We are looking for a 5G Huawei Engineer (both remote and onsite positions are available) to join our team. Job Responsibilities: Perform network optimization and network audit to meet customer requirements. Provide 5G deployment and optimization strategy support (Layer management and traffic steering strategy, NSA/SA, spectrum strategy, site densification, network sharing, TDD RN optimization, DSS, network slicing, spectral efficiency) for customers, Focus on executing audit and optimization of services, where you will be accountable for part of the solution and of the service process, Keep time, performance and quality according to company requirements and customer contracts, Provide an optimization solution for NR & LTE and trace the solution to collaborate with operators to implement it, Design and plan wireless site for network with simulation tool (added advantage), New feature testing, technical discussion, and integration troubleshooting support. Job Requirements 10+ years of experience in radio planning & optimization, Minimum 3 years of experience on 5G HUAWEI and 5 years of 4G, Hands on HUAWEI vendor algorithm & tools, iMaster, PRS, MAE, FMA, Capability of KPIs analysis and optimization, Complaints handling, drive test log files analysis, Familiar with radio planning tool and optimization tools, able to use the tools to work in high efficiency way.

Location: Singapore DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Our Equity Options team is looking for a Trading Systems Engineer (TSE) to provide high performance, mission critical support for our proprietary trading systems. The role is to maintain a healthy trading environment and provide on-the-floor technical support. The TSE will also work on longer-term engineering projects collaborating closely with traders, researchers and developers to ensure maximum trading profitability by contributing to scalable, efficient, performant, clean systems and well-defined workflows. The TSE will coordinate with operations, business liaisons and infrastructure teams to communicate with exchanges, brokers and other external parties to ensure a stable and efficient environment for our option trading strategies. What you’ll be working on: Work as part of a team to establish best-in-class production support, efficient software deployment, configuration processes and proactive monitoring, with the goal of anticipating and avoiding issues before they occur, minimizing downtime and recovering quickly from any incidents Understand and potentially develop proprietary process automation and monitoring tools and leverage third-party technologies as appropriate Troubleshoot trading system production incidents resulting from internal (proprietary software/systems) or external factors (markets, data feeds, telecommunication lines) in time-critical situations. Understanding Option Trading in the APAC region to best enable trading Coordinate efforts with European and US Option trading teams to share best practices and ensure continuity and consistency of support in a 24x7 environment Understand exchange data center layout and hardware infrastructure to optimise our setup and configuration Qualifications & Skills: 1-3 years working trade support, site reliability engineering or related fields Bachelor’s degree in STEM field, ideally computer engineering related Basic networking knowledge, including TCP/IP, DNS, DHCP and common network troubleshooting tools Strong problem-solving skills and the ability to troubleshoot technical issues under pressure Excellent communication skills, both written and verbal for audiences of varying backgrounds Thrives in high-pressure situations while working alongside traders, developers and other engineering teams Knowledge of Linux/Unix environments Knowledge of database usage (SQL, NoSQL, Postgres) Experience with scripting languages (e.g. Python, Bash, PowerShell) for automation tasks Experience with Distributed Systems Strong understanding of modern DevOps and CICD Experience with using and/or building Restful web services Experience with web development technologies (e.g., Javascript React.js, Vue and CSS3) For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-PR1]