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Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring multiple positions from early-career engineers to experienced architects focused on the different dimensions of dependable software: cybersecurity, quality, and safety. What does it take to bring the world’s open source software into mission-critical systems? At Canonical, we are driving the engineering discipline needed to build secure, reliable, and high-quality products that our automotive and industrial partners can depend on. Ubuntu is already the world’s most widely used Linux distribution in general; we want to make it the world’s best choice for the automotive and industrial sectors too. We operate at the boundary between upstream open source innovation and the industrial regulatory realities. Our engineers define the concepts, architectures, processes, verification strategies, and certification artifacts to transform a general-purpose platform into a dependable, certifiable foundation for automotive and industrial compute. This is systems-level engineering at scale, requiring precision, rigor, and a deep understanding of how complex software behaves in constrained, regulated environments. We are looking for engineers and architects who combine an open source hacker and builder mindset with respect for rigorous, standards-driven engineering. You will work across Canonical engineering teams and with leading industrial partners, helping to build this capability from the ground up and shaping how open source enters the most demanding technical domains. Location : This is a remote role based in the EMEA region. The role entails Translate automotive and industrial cybersecurity, quality and safety standards into actionable engineering requirements and perform gap analyses against current capabilities. Drive the creation of structured engineering artifacts, including requirements, traceability models, risk analysis, test strategies, and certification documentation. Collaborate with Canonical engineering teams to align development practices with industrial compliance needs. Design, implement, and execute verification and validation activities required to qualify Ubuntu and other components for regulated environments. Develop and improve automation and tooling to scale traceability, testing, compliance evidence generation, and reporting. Engage with industrial partners to understand their expectations, align external expectations and internal capabilities, and support audits and technical reviews. Contribute to the continuous improvement of Canonical’s internal processes and standards capability as the team scales. What we are looking for in you Strong software engineering foundation with experience in developing complex systems on Linux. Professional experience with C, C++, and Python in production environments. Demonstrated experience working within automotive, industrial, or other regulated environments governed by safety, cybersecurity, or quality standards (such as ISO 26262, ISO/SAE 21434, IEC 61508, IEC 62443, SOTIF, or (A)SPICE), and applying them in practice. Experience in system or software architecture, implementation, or verification and validation of complex embedded systems. Strong written and verbal communication skills, with the ability to produce precise technical documentation. Ability to collaborate effectively in a distributed team and engage with industrial partners. Additional experience that is valuable Contributions to open source projects, particularly in the area of Software Defined Vehicles. Knowledge of Debian packaging. Experience with Rust or safety-critical software development. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. 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 Team Member Assistance Program & Wellness Platform 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 of software. 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. Most colleagues at Canonical have worked from home 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 .

Location: Mumbai WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges. WHAT YOU’LL BRING: Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred Have a research scientist mindset, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc. Knowledge of Linear Algebra, Statistics, Machine Learning Prior experience in Finance/Trading is a plus. Be competent in a programming language (Python, Unix) Possess good English language skills Have a strong interest in learning about worldwide financial markets Possess a relentless drive to succeed, supplemented by a strong work ethic By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT REPLIT Replit is building the world’s most ubiquitous AI coding agent. Replit Agent can be used by anybody to bring their ideas to life. Whether it’s an app for yourself, the next great startup idea, or a tool to make you more productive at work, Replit Agent can help build it. Replit is also the leader in secure vibe coding. We protect apps, give users features to manage security risks, and help them vibe code more safely. ABOUT THE ROLE In this role you will build powerful tools that help product engineers iterate rapidly on the Agent experience and directly enhance the core Agent itself. You’ll bridge the gap between the AI team (working on the core Agent logic) and the UX team (crafting delightful Agent experiences), enabling both groups to excel within their specialties. This role blends systems engineering, developer experience and product engineering. We tackle complex challenges across the full stack, from browser-based interfaces to high-performance backends to Linux systems engineering. We’re looking for engineers who have a keen sense of the product experience and how to power it with performant systems. On this team, you’ll have the opportunity to grow your skills across our infrastructure and product, and to lead end-to-end efforts with meaningful impact. We value diverse perspectives and encourage candidates from all backgrounds and experiences to apply. YOU WILL - Build high-throughput backend applications and services, like streaming chat between user and agent. - Design a collaborative "Multiplayer Computer" that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time. - Develop infrastructure (frontend & backend) that empowers product engineers to rapidly ship delightful user experiences. - Design and build durable, well-crafted interfaces between the Agent and internal systems, as well as external agentic systems (MCP) REQUIRED SKILLS AND EXPERIENCE - 8+ years professional experience in building backend services, systems and platforms - Someone who values simplicity and pragmatism—you think radically but ship incrementally. - Self-directed and comfortable working autonomously. - Collaborative and team-oriented with a strong sense of shared ownership. PREFERRED QUALIFICATIONS - Experience across the full-stack. - Experience building AI powered tooling or products. - Experience with collaborative editing technologies such as Operational Transforms (OT), CRDTs, or the inner workings of Git. - Experience with event sourcing systems. WHAT WE VALUE - Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions - Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams - Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences - Continuous learning: Passion for staying current with industry best practices and new technologies - Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: United States; Canada (BC & ON only) Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. Without ever sacrificing craft or quality helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact. ABOUT THE ROLE: - Location: Remote-first (United States; BC & ON, Canada) - Full-time - Permanent - Exempt - Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.  - United States  (all figures cited below in USD and pertain to workers in the United States) - Zone A: 232,000 - 290,000 - Zone B: 217,600 - 272,000 - Zone C: 204,800 - 256,000 - Canada  (All figures cited below in CAD and pertain to workers in ON & BC, Canada) - 253,000 - 316,000 Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for a new position - Reporting to the Director, Engineering  As a Senior Staff Machine Learning Scientist, you’ll:  - Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation. - Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene representation, segmentation, detection, generation, and multimodal reasoning. - Translate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences. - Design, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks. - Partner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems. - Set technical direction for high-impact research areas, identifying promising bets and influencing longer-term strategy for vision and multimodal AI. - Mentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team. - Stay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, and apply emerging techniques to real-world problems. ABOUT YOU: Requirements: - BA/BS degree or equivalent experience You’ll thrive as a Senior Staff Machine Learning Scientist if you: - Deep theoretical and practical expertise in computer vision, with strong foundations in areas such as representation learning, visual recognition, image or video generation, multimodal learning, and large-scale model training. - Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; PhD strongly preferred. - 8+ years of relevant industry and/or research experience, or equivalent impact, including a track record of driving major research initiatives in computer vision or multimodal machine learning. - Strong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models. - Proven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances. - Strong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code. - Proficiency in modern deep learning frameworks such as PyTorch and TensorFlow. - Demonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization. - Strong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.   OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Belgrade; Tbilisi; Madrid; Riga; Valencia; Yerevan; Poland Workplace: remote About us: Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone. Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users.  Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market. We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design. We are looking for a Lead Android Developer who will take personal responsibility for every new feature inside the P5D product. This is a role for someone who still enjoys writing code and wants to have real influence on the product. You will work on complex parts like graphic engine, multiplayer technology and Ai, including: Design Generator for image-to-image creation, Plan Upload to convert files into projects, AI Designer for styling and furniture layout, and Bernard AI - an LLM that answers questions, gives advice, and controls the AI Designer. We care a lot about quality - clean code, strong engineering standards, and decisions that drive the market. We keep things simple - no extra layers of approval when good judgment is enough.  Our engineering team has real power to suggest better tech solutions and influence product. That freedom comes with real responsibility because your decisions will have a tangible impact in a product used by 100M+ users. We love to learn: we dive into challenges and give 100%. Every tough task is just a way to find a better solution and get better at what we do. You will be surrounded by strong engineers with high standards. It is a demanding environment, but also one where good work is respected and where you can work on really interesting technical challenges -  including the Editor, 3D engine, geometry, and rendering. Responsibilities: Take ownership of Android development and build a strong understanding of the codebase and existing solutions Choose the right technologies and approaches based on the problem and long-term product needs Be involved in all aspects of the product development, from pixel-perfect design to analytics, payments, and user authentication Work on interesting and complex features, from simpler tasks like building custom views and APIs to 2D/3D graphics, VR, AI, CRDT and similar Utilize popular Android libraries and Kotlin solutions Help the team solve technical problems, answer questions, and find practical solutions Develop a modular codebase, conduct thorough code reviews, follow best practices and coding guidelines Work closely with both technical and non-technical teams Support hiring as the team grows Requirements: 7+ years of experience in Android development (including Leadership experience) Extensive experience with Kotlin and Java Extensive knowledge of the Android ecosystem (Android SDK, Jetpack, Dagger, and common libraries) Experience with SQL, SQLite, and Room Experience with concurrency and asynchronous programming (Kotlin Coroutines and RxJava) Experience working with REST APIs, JSON, XML, Git, and Protobuf Very good understanding of software design, code quality, and testing practices Ability to write clean, readable, and maintainable code Ability to make technical decisions and explain trade-offs Provide mentoring and constructive feedback to developers Strong sense of ownership Clear and concise communication Ability to work effectively with both technical and non-technical teams Experience with in-app payments and subscriptions Fluent English Nice to have: Experience with 2D/3D graphics (Canvas, OpenGL, Vulkan, or Google Filament) What we offer: - Great work environment that balances freedom and responsibility - Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge - We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year - Company computer equipment by request - Education courses for our team members, and we're willing to allocate funds toward your training expenses - English classes on our corporate platform - Offline company events in Lithuania and online team-building - Unlimited free Planner5D subscriptions

Location: Warsaw; Amsterdam; Barcelona Workplace: hybrid About us: Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone. Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users.  Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market. We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design. We are looking for a Lead Android Developer who will take personal responsibility for every new feature inside the P5D product. This is a role for someone who still enjoys writing code and wants to have real influence on the product. You will work on complex parts like graphic engine, multiplayer technology and Ai, including: Design Generator for image-to-image creation, Plan Upload to convert files into projects, AI Designer for styling and furniture layout, and Bernard AI - an LLM that answers questions, gives advice, and controls the AI Designer. We care a lot about quality - clean code, strong engineering standards, and decisions that drive the market. We keep things simple - no extra layers of approval when good judgment is enough.  Our engineering team has real power to suggest better tech solutions and influence product. That freedom comes with real responsibility because your decisions will have a tangible impact in a product used by 100M+ users. We love to learn: we dive into challenges and give 100%. Every tough task is just a way to find a better solution and get better at what we do. You will be surrounded by strong engineers with high standards. It is a demanding environment, but also one where good work is respected and where you can work on really interesting technical challenges -  including the Editor, 3D engine, geometry, and rendering. Responsibilities: Take ownership of Android development and build a strong understanding of the codebase and existing solutions Choose the right technologies and approaches based on the problem and long-term product needs Be involved in all aspects of the product development, from pixel-perfect design to analytics, payments, and user authentication Work on interesting and complex features, from simpler tasks like building custom views and APIs to 2D/3D graphics, VR, AI, CRDT and similar Utilize popular Android libraries and Kotlin solutions Help the team solve technical problems, answer questions, and find practical solutions Develop a modular codebase, conduct thorough code reviews, follow best practices and coding guidelines Work closely with both technical and non-technical teams Support hiring as the team grows Requirements: 7+ years of experience in Android development (including Leadership experience) Extensive experience with Kotlin and Java Extensive knowledge of the Android ecosystem (Android SDK, Jetpack, Dagger, and common libraries) Experience with SQL, SQLite, and Room Experience with concurrency and asynchronous programming (Kotlin Coroutines and RxJava) Experience working with REST APIs, JSON, XML, Git, and Protobuf Very good understanding of software design, code quality, and testing practices Ability to write clean, readable, and maintainable code Ability to make technical decisions and explain trade-offs Provide mentoring and constructive feedback to developers Strong sense of ownership Clear and concise communication Ability to work effectively with both technical and non-technical teams Experience with in-app payments and subscriptions Fluent English Nice to have: Experience with 2D/3D graphics (Canvas, OpenGL, Vulkan, or Google Filament) What we offer: - Great work environment that balances freedom and responsibility - Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge - We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year - Company computer equipment by request - Education courses for our team members, and we're willing to allocate funds toward your training expenses - English classes on our corporate platform - Offline company events in Lithuania and online team-building - Unlimited free Planner5D subscriptions

Location: United Kingdom, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within the UK. Your new role As Senior Security Engineer, you will help Olo reduce identified risks, respond to adversarial attacks while maintaining the up-time of our systems, and implement the right strategic risk mitigation measures to safeguard the data of our clients and their customers while supporting innovation. You will also provide white glove service and support to internal and external stakeholders by addressing security questions and support issues as needed, and by mentoring other engineers in how to best provide support.  Additionally, you will help in the identification and prioritisation of future project initiatives based on risk, and execute on cross-functional projects with a high degree of ownership and excellence, all while actively mentoring other team members and elevating the collective team’s capabilities and skill sets through peering and informal training. How you’ll make an impact Lead improvements in detection and response capabilities, continuously optimising monitoring, alerting, and incident response processes. Mentor junior and mid-level engineers, setting a high standard in security practices and offering guidance for professional development. Participate actively in an on-call rotation, responding to escalated security incidents and coordinating effective resolutions. Demonstrate excellence in white-glove service delivery, ensuring security incidents are managed thoroughly and with professionalism. Define and collaborate on implementing leading security practices, ensuring strategies align with organisational security goals and industry standards. Take ownership of security project execution, prioritising tasks and aligning initiatives with team and company objectives. Use and optimise advanced security tools, including SIEMs and vulnerability scanners, to enhance detection, logging, and analysis capabilities. Conduct regular and detailed vulnerability assessments, identifying gaps in security controls and implementing mitigation strategies. Support compliance efforts, ensuring documentation, audits, and regulatory standards are met to maintain certifications and adherence to best practices. Collaborate with cross-functional teams, including development and IT, to integrate security best practices within architectural frameworks. Lead security awareness initiatives, educating technical teams on advanced security topics and secure coding practices. Stay informed on emerging security threats and technologies, continuously evaluating and integrating relevant tools or methodologies. Provide guidance for risk management processes, helping to establish and maintain effective risk identification and mitigation protocols. Develop and document security processes and procedures, ensuring consistency and readiness for both routine and high-stress security incidents. Support leadership with reporting by providing insights and data on incidents, vulnerabilities, project progress, and metrics to inform security decisions. Lead automation and process optimisation efforts by developing scripts and tools to automate repetitive security tasks as well as to enhance detection and response capabilities through the use of automation and integration of security tools. What will set you up for success Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent security experience). 5+ years of experience in security engineering and operations, including extensive experience in blue team operations, security architecture, DevOps, and general operations. Deep knowledge of information technology, evolving threats, attack patterns, incident response, and cybersecurity standards. Proven ability to develop and lead incident response, including remediation, mitigation, and regular status updates and reporting. Skilled in security event evaluation, discerning legitimate security incidents from false positives, incident investigation, countermeasures, and impact monitoring. Strong understanding of operating system, networking, and application hardening for Windows, macOS, and Linux, including virtualisation security. Experience deploying, maintaining, and administering security technologies like IDS, DLP, FIM, firewalls, SIEM, MFA, vulnerability assessment tools, web proxies, and WAFs. Experience with cloud providers and Infrastructure as Code (IaC) tools, such as Terraform, Ansible, or CloudFormation. Proficiency in AWS security best practices. Skills in automation, development, or scripting for enhanced security operations. Advanced knowledge of Application Security, modern web protocols, and Web Application Firewalls. Proficiency in email security protocols like SPF, DKIM, and DMARC. About Olo   Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com   Applicant Privacy Notice (United Kingdom)

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will be responsible for product planning and solution design for an enterprise-grade AI Native engineering platform, driving the deep integration of AI Agents, AI Coding, knowledge capabilities, and engineering platform systems. The goal is to build an intelligent product system covering requirement analysis, solution design, development collaboration, testing validation, environment orchestration, and knowledge accumulation.This role serves complex engineering processes and multi-role collaboration scenarios. You are expected to design AI product capabilities that can be embedded into workflows, measured for impact, and continuously evolved in real enterprise environments, enabling the product to scale from pilot adoption to broad organizational rollout. What You’ll Be Doing Lead the product planning, requirement analysis, and solution design of the AI Native engineering platform, and drive continuous product evolution and adoption. Develop a deep understanding of the end-to-end engineering lifecycle, and translate the core scenarios and collaboration patterns of product, design, engineering, QA, and operations teams into structured product solutions. Design AI Agent capabilities for engineering scenarios , including requirement analysis, solution generation, coding collaboration, test generation, environment orchestration, and knowledge accumulation. Drive the integration of AI capabilities with code repositories, CI/CD pipelines, testing platforms, deployment environments, and knowledge platforms to deliver a unified end-to-end product experience. Establish mechanisms for product effectiveness evaluation, user feedback, and continuous optimization , and support the product’s scale-up from pilot validation to broad adoption. What We Look For In You Bachelor’s degree or above , preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields. 6+ years of experience in ToB products, platform products, or intelligent product solutions. Must have an engineering background , such as software development, test development, architecture, or technical product roles, with the ability to work effectively with engineering teams. Strong understanding of DevOps , engineering productivity, software delivery processes, and quality systems , with the ability to abstract and productize complex workflows. Solid understanding of AI Agent product design , with the ability to design for task execution, workflow orchestration, result validation, and delivery closure. Familiarity with mainstream AI coding products, with strong hands-on experience or product understanding of Claude Code , Codex, Cursor , and Copilot , as well as context engineering, knowledge input, tool integration, human-in-the-loop collaboration, and governance considerations. Strong structured thinking, cross-functional collaboration, and execution skills; experience with engineering platforms, DevOps platforms, platform products, or intelligent products is a plus. Nice to Haves Experience with products related to AI Agents, RAG, knowledge graphs, Copilot, or intelligent workflows . Experience building engineering platforms, DevOps platforms, or platform products from 0 to 1 or from 1 to N. Hybrid background of engineering-to-product transition , or contributions to open source, communities, or public thought leadership in AI or engineering productivity. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will be responsible for the core architecture design and technical delivery of an enterprise-grade AI Native engineering platform, driving the deep integration of large language models, AI Agents, knowledge capabilities, and the software development lifecycle. The platform will support intelligent capabilities across requirement analysis, solution generation, coding collaboration, test automation, and environment orchestration.This role focuses on engineering-grade AI implementation in complex R&D scenarios. You are expected to turn model capabilities into reusable, scalable, and governable platform capabilities, and continuously drive the evolution of the engineering platform toward an AI Native architecture. What You’ll Be Doing Lead the overall architecture design and core capability development of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration. Drive the implementation of AI Native capabilities in engineering workflows , including AI coding, technical solution generation, test case generation, test report generation, and automated environment deployment. Build the knowledge augmentation layer for the platform, including the design, integration, and application of RAG, GraphRAG, and knowledge graph capabilities. Establish the runtime and governance framework for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance. Collaborate with product, engineering, QA, and operations teams to standardize, productionize, and scale platform capabilities, continuously improving engineering efficiency and delivery quality. What We Look For In You Bachelor’s degree or above , preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields. 6+ years of experience in backend engineering, platform engineering, or infrastructure engineering, with strong system design and delivery capabilities. Proficient in Java / Python , with solid coding skills, architectural thinking, and experience building complex systems. Strong understanding of LLM and AI Agent architectures , including task decomposition, tool use, context management, memory, execution loops, and exception handling. Hands-on experience with LangChain and LangGraph , and strong familiarity with mainstream AI coding tools or frameworks such as Claude Code , Codex, Cursor , and Copilot . Experience in designing or developing RAG / GraphRAG / knowledge graph solutions for enterprise knowledge augmentation and engineering use cases. Good understanding of DevOps , CI/CD , Kubernetes , and cloud-native technologies , with strong cross-functional collaboration and execution skills. Nice to Haves Experience contributing to open-source projects related to AI Agents, AI Coding, RAG, or knowledge graphs. Experience building enterprise engineering platforms, DevOps platforms, or AI platforms . Familiarity with open-source Agent projects such as openclaw, openhands/openharness, or Hermes . Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Cairo, Egypt Müller’s Solutions is seeking an experienced Power BI Consultant to join our team. In this role, you will be responsible for designing, developing, and delivering Power BI solutions that enable data-driven decision-making across the organization. You will work closely with business stakeholders to understand their needs and translate them into effective, insightful reports and dashboards. Your expertise will ensure the efficient deployment and adoption of Power BI, driving business intelligence initiatives. Responsibilities: Design, build, and deploy Power BI reports and dashboards tailored to business user requirements. Collaborate with stakeholders to gather requirements and provide BI solutions that align with business goals. Develop and optimize data models and queries to ensure high performance and accuracy. Implement best practices for data governance, data quality, and security within Power BI projects. Provide training, support, and documentation to end-users and team members. Maintain and update existing Power BI reports and solutions to adapt to changing business needs. Stay current with the latest Power BI features, tools, and industry trends to continuously improve BI capabilities. Work closely with IT and data teams to integrate Power BI with various data sources. Requirements 3 to 5 years of practical experience in creating Power BI reports and dashboards. Advanced skills in DAX and Power Query (M Language) . Extensive experience in data modeling and combining data from various sources. Good knowledge of data visualization best practices . Experience in publishing, managing, and maintaining reports within the Power BI Service . Capability to analyze business requirements and convert them into technical solutions. Strong communication abilities and experience collaborating with cross-functional teams. Bachelor’s degree in Computer Science, Information Technology, or a related discipline. Demonstrated experience as a Power BI Consultant or Developer with a robust portfolio of Power BI projects. In-depth knowledge of Power BI Desktop, Power BI Service, DAX, Power Query, and data modeling. Hands-on experience with SQL and integrating Power BI with diverse data sources. Awareness of data governance, data quality, and security best practices. Excellent communication and interpersonal skills for working effectively with both technical and non-technical stakeholders. Strong analytical and problem-solving skills to transform business needs into efficient BI solutions. Ability to handle multiple projects simultaneously and meet deadlines in a fast-paced environment. Familiarity with other BI tools and analytics platforms is advantageous. Preferred Qualifications: Microsoft certification such as PL-300 (Power BI Data Analyst) or equivalent. Experience working in enterprise environments. Familiarity with SQL and other data platforms is a plus. 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: Pakistan; India; Brazil; Mexico; United Kingdom About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We’re hiring a Founding Engineer (Fullstack) to help take the product from zero to launch and beyond to product-market fit. This is a rare opportunity to work side-by-side with the founding team and play a defining role in shaping both the product and the company. You’ll be responsible for building core systems, crafting exceptional user experiences, and driving technical decisions across the stack. This role is ideal for a highly intelligent, pragmatic builder who thrives in early-stage environments and has a track record of shipping complex, user-facing applications. Key Responsibilities Own end-to-end development of core product features across the fullstack, with a strong focus on frontend UX and performance. Collaborate closely with the founder, product designer, and early users to iterate rapidly and deliver exceptional user experiences. Design, build, and maintain scalable backend systems, including PostgreSQL schemas and Row-Level Security (RLS) via Supabase. Develop and manage edge APIs, backend services, and workers to support real-time, high-performance applications. Translate complex product concepts into intuitive, elegant, and user-friendly interfaces. Make foundational architecture and infrastructure decisions that balance speed, scalability, and reliability. Build and optimize systems to support product growth from early launch through scale. Integrate and interact with smart contracts and blockchain infrastructure. Own and maintain blockchain indexing systems to power real-time product functionality. Develop modern authentication and digital asset experiences using technologies like WebAuthn. Partner with fintech and infrastructure providers to deliver secure and scalable solutions. Contribute to product strategy, experimentation, and iteration to help achieve product-market fit. Establish and uphold strong engineering practices, performance standards, and a security-first mindset. Requirements Exceptional intellectual ability and curiosity, with a strong academic background (e.g. Computer Science, Mathematics, Physics, Electrical Engineering) or equivalent experience. 5+ years of software engineering experience, including at least 1 year at a senior level with high ownership. Strong proficiency in TypeScript and React for building production-grade frontend applications. Backend and systems experience; familiarity with Go or low-level/system design is a strong plus. Extensive experience with PostgreSQL and scalable data architecture. Proven track record of building and shipping complex user-facing products (e.g. social platforms, marketplaces, trading systems). Strong interest in finance, blockchain/Web3, consumer apps, user psychology, and AI/LLMs. A strong security-first mindset, with attention to data integrity and system resilience. Ability to move fast, make pragmatic decisions, and thrive in ambiguity. Strong communication skills and a collaborative, founder-level mindset. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Dhahran, Saudi Arabia Eram Talent is looking for a detail-oriented and knowledgeable GRC (Governance, Risk, and Compliance) Analyst with COBIT certification to join our team. As a trusted Talent Acquisition partner, we serve various industries by providing top-notch recruitment solutions. The GRC Analyst will play a crucial role in ensuring that our clients' IT governance, risk management, and compliance frameworks are effectively designed, implemented, and maintained. The successful candidate will work closely with stakeholders to identify and assess risks, develop control frameworks based on COBIT standards, and ensure compliance with relevant regulations and policies. This role involves continuous monitoring, reporting, and improvement of governance processes to ensure operational excellence and risk mitigation. Key Responsibilities: Develop, implement, and maintain GRC frameworks using COBIT principles and best practices. Conduct risk assessments and internal control evaluations to identify gaps and recommend improvements. Monitor compliance with IT policies, procedures, and regulatory requirements. Collaborate with IT and business teams to ensure proper governance and risk mitigation strategies are in place. Prepare and present reports to senior management on governance, risk, and compliance statuses. Support audit activities and facilitate responses to audit findings related to IT governance. Stay updated on new regulations and frameworks affecting IT governance and compliance. Promote awareness and understanding of GRC practices across the organization. Requirements Bachelor’s degree in Information Technology, Computer Science, Business Administration, or a related field. Experience in developing and implementing governance frameworks. Familiarity with compliance standards (e.g., ISO 38500, COBIT, NIST). Experience managing governance-related projects, including the ability to define objectives, allocate resources, and monitor progress. Good understanding of IT governance principles and best practices COBIT certification is mandatory. ISO/IEC 35800 (Corporate Governance Of IT) is preferred Proven experience as a GRC analyst or similar role, preferably in IT governance and risk management. Strong understanding of IT governance frameworks, especially COBIT. Knowledge of compliance requirements, risk management methodologies, and regulatory frameworks. Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively with cross-functional teams and senior management. Detail-oriented with strong organizational skills. Experience supporting IT audits and addressing audit findings. Knowledge of other governance frameworks (e.g., ISO 27001, ITIL) is a plus.

Location: San Francisco; Palo Alto Workplace: Hybrid Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search systems, datasets, and models work together to create the best possible experience for our users. As our product and agent capabilities evolve, we need evaluation systems that are fast, reliable, production-faithful, and actionable. In this role, you will build and improve the technical foundations that support Answer Quality across Perplexity. This includes our shared evaluation infrastructure and the platform used to replay and analyze agent traces. You will work closely with data scientists, engineers, and product teams to identify quality problems, measure their impact, and turn evaluation findings into product improvements. RESPONSIBILITIES - Build shared evaluation infrastructure that helps teams run reliable evals, analyze results, and make product and model decisions - Develop the platform for replaying and analyzing agent traces to reproduce production behavior and diagnose failures - Build and operate scalable systems for processing, storing, and monitoring interaction, trace, and evaluation data - Partner with data scientists, engineers, and product teams to turn answer-quality problems into evaluations, analyses, and product improvements - Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality QUALIFICATIONS - 4+ years of software, data, or machine learning engineering experience shipping and operating production systems - Strong proficiency in Python and SQL, with solid fundamentals in system design, data modeling, and distributed systems - Experience building big-data systems, including distributed compute, large-scale storage, and high-volume pipelines - Demonstrated ownership of ambiguous technical projects from initial design through production operation - Ability to work effectively with data scientists, engineers, and product partners PREFERRED QUALIFICATIONS - Experience building evaluation, experimentation, observability, or machine learning infrastructure - Familiarity with LLM and agent systems, including tool use, execution traces, replay, and simulation - Experience building on top of large-scale data processing platforms such as Databricks, Snowflake, or ClickHouse

Location: London Workplace: Hybrid We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: San Francisco; Palo Alto We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

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: We're hiring several Product Operations Managers to embed within our core product teams. Each will contribute to a key component of our stack. Whether you are ensuring models work within each of our harnesses, prioritizing a great experience across cloud offerings, or building the application layer that keeps users on the frontier, the Product Operations team is an integral part of delivering great products to the world. Product Operations is the connective tissue between Research, Product, and the market. We shorten the distance between what our models can do and what people get to use. Each of us sits inside one product team as an extension of its leadership, and together we run one shared operating system for how Anthropic ships and learns. On a given day you might get a launch through its final review, run an early access window, or triaging customer feedback. The rest of the week you build the systems so the team ships and learns faster next time. Our team is small and gets unusual leverage from Claude enabling us to fill gaps across the company and deliver outsized value. Responsibilities: 1. Ship with confidence Own launch readiness for your team. Keep our launch calendar the source of truth for what is shipping and when. Get every major launch through go/no-go: pre-read written, Security, Safeguards, Legal, and Commercial sign-offs recorded, and any accepted risk written down on purpose. Run early access and beta programs that return signal Product and Research can act on. Define the question before the window opens, give testers the scaffolding to answer it, and close each one with a retro on whether the feedback landed. Program manage new model launches on your surface: readiness goals set in advance, testing and eval coverage tracked, issues triaged, prompting changes landed, retro run. You won't write the evals. You run the program around them. 2. Close the loop with users Turn a lot of noise into two clear signals: what users are asking for, ranked by impact and mapped to the roadmap, and which customers or cohorts are blocked, on what, and why it matters. Plug your team into Anthropic's shared feedback systems rather than building a private one, and improve the shared systems where they fall short. Make sure the field, Support, and Research hear back about what happened with what they sent. 3. Run the team's operating system Set the team's pace: planning, business and execution reviews, goal tracking, offsites. Own how your team works with Legal, Safeguards, Security, GTM, and other product teams so partnering with your team is predictable. Push reporting overhead toward zero. Reviews and digests should be generated from data that already exists. Fill the gaps. Every embedded seat carries one or two projects unique to its team, for example managing Monthly Business Reviews and helping track progress between cycles. 4. Build with Claude Build the tools you need yourself: Claude-powered triage, dashboards that read and write to our systems of record, skills and agents that take the chasing out of the job. Contribute what you build back to the ProdOps team as reusable patterns (launch checklists, EAP setup, lookbacks, deprecations) so nobody starts from scratch. You may be a good fit if you have: Have owned an operational program end to end (launches, early access, feedback, or planning) that a product team relied on to make decisions. You designed it and ran it, not just executed someone else's plan. Have built a process from zero to one and then simplified it as it scaled. You treat process as a product: it has users, metrics, and a happy path people want to follow. Have worked embedded with product leadership and can move a team without formal authority. Build with AI yourself. You have shipped Claude or other LLM-powered workflows, written the prompts, iterated on the outputs, and can describe model behavior with specifics. Have direct experience managing evals, refining system prompts, and adapting harnesses to new models. Have direct experience working with Cloud providers in partnership or GTM capacity Have commitment to safe deployment of AI. Bonus if experience with AI Safety and Safeguards. Bonus: Program managed model launches or model quality at an application-layer AI product. Run early access, beta, or design partner programs. Product management, technical program management, chief of staff, or strategy and operations experience at a startup or fast-growing product company. 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: $260,000 — $325,000 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. 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: Riyadh, Saudi Arabia Müller’s Solutions is seeking a skilled Power BI Developer who is also fluent in Arabic to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying Power BI solutions that deliver impactful business insights. Your ability to communicate effectively in Arabic will facilitate collaboration with Arabic-speaking stakeholders and clients. Responsibilities: Develop and maintain robust Power BI reports and dashboards tailored to business requirements. Collaborate with stakeholders, including Arabic-speaking clients, to gather requirements and translate them into technical solutions. Optimize data models and ensure high performance of Power BI solutions. Conduct data analysis to support decision-making processes and provide insights. Ensure data quality, security, and governance standards are adhered to. Provide support and training to users, including Arabic-speaking teams, to enhance their use of Power BI tools. Stay up-to-date with the latest Power BI features and best practices to continually improve BI solutions. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Power BI Developer with a strong portfolio of Power BI projects. Fluency in Arabic, both written and spoken, is essential for this role. Strong proficiency in DAX, Power Query, and advanced Power BI functionalities. Experience in data modeling, ETL processes, and SQL. Ability to translate complex data into clear, actionable business insights. Excellent communication and interpersonal skills for effective collaboration with bilingual teams and clients. Knowledge of data governance, data quality, and security best practices. Self-motivated with the ability to work independently and manage multiple projects. Experience with other BI tools and analytics platforms is a plus. 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: 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 Anthropic's business metrics change quickly. New models, products and pricing land every few weeks, and each one moves the numbers in ways leadership needs to understand and act on quickly. The Finance Analytics & Business Intelligence team is hiring a senior individual contributor to own how finance leadership reviews key business metrics. You'll run the weekly company metrics update and forum, explain what is driving revenue and usage across products, customers and models, and turn open-ended business questions into clear, data-driven answers. You'll also build what makes those answers repeatable and scalable: governed metric definitions, executive dashboards, and Claude-powered workflows for recurring analysis. The work is technical, fast-moving and highly visible, and it spans Finance, Product, Go-to-Market, Data Science and Data Engineering. In this role, you will: Own the weekly company metrics update and forum: shape the story the numbers tell, evolve the structure and content as fast as the business changes Define the metrics that matter: help establish the headline KPIs leadership uses to track the business, and the driver views beneath them. Surface macro trends: explain what is driving growth across products, customers, and channels, and flag leading indicators early Lead deep dives on executive questions: take a broad question from leadership, put a measurement approach around it, and work with partner teams to deliver a clear, defensible answer Track performance against plan: explain where actuals differ from forecast and why it matters Partner across teams: work with finance leadership, product and GTM finance and strategy, data science, and data engineering to agree on how we measure the business, so everyone uses the same numbers. Raise the bar: land narratives in executive forums and up-level the team’s finance analytics practice by example You might be a good fit if you: Have run an executive metrics forum: you've owned a recurring business review for senior leadership, including its structure, content and discussion. Land narratives with executives: your analyses have changed business decisions, and you can simplify for senior leaders without losing rigor Put shape around ambiguity: you’ve personally defined the measurement approach for questions nobody knew how to answer, without waiting for a fully specified ask Stay hands-on at senior scope: you still write the SQL and Python yourself, and you’d rather ship a defensible v1 with honest error bars than wait for perfect data Are inherently curious: you go one level deeper than asked and are energized by how fast models, products, and the market are moving Thrive amid shifting priorities: you juggle multiple fast-moving work streams and stay effective when the plan changes weekly Work fluently with modern tooling: you’re strong at data visualization, use Claude and AI tools as force multipliers in analysis and BI, and can self-serve your own workflows across SQL, Python, dbt, and a cloud warehouse Strong candidates may also have: Significant experience in finance analytics, business analytics or data science, including direct partnership with senior leadership Revenue or growth analytics experience at a usage-based business (cloud, API or marketplace) Ownership of a company or executive business review Experience designing evals or benchmarks for AI models or products Fluency in the LLM model and product landscape Experience with a semantic or metrics layer Dimensional modeling and warehouse design experience (grain, SCDs, point-in-time correctness) Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability 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: $270,000 — $345,000 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. 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.