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Headquarters: Zug, Switzerland URL: https://www.maptiler.com/ Full-time Freelance / B2B contract Remote in Europe Description MapTiler is moving toward becoming an AI-accelerated company, and design is a part of that change. We are looking for a Head of Design to lead the craft and the design practice across our products and customer experience, and help to define the new setup and processes for how designers should work. This is a completely new role at MapTiler! What you will do Lead the design team of 5 and make the people decisions that come with it: hiring, performance, wellbeing, career progression and education of designers. Work closely with product managers, developers and marketing, and represent design in discussions with the executive team. Measurably increase the user-centric mindset and UX maturity of the company: define how we measure it, report it to leadership and act on what you find. Lead design's transition to an AI-accelerated way of working and help to decide how designers use AI in their daily practice, in line with the company's overall direction. Own design craft, quality standards, and the coherence of the experience across all MapTiler products and services. Own the design roadmap, which runs in parallel to the product and marketing roadmaps. Make company-wide design decisions, set standards and quality, and speak up when they are not met. What we expect from you At least 8 years of experience in UX, UI, or product design, including 3+ years in a design leadership role. Experience building and leading a design team, including hiring, performance management, and career development. Strong design craft, shown by a portfolio or a case study of projects you led, and the ability to set and defend quality standards. Hands-on experience using AI tools in design work, and a well-argued view of where they help and where they do not. Ability to align with or lead Developer Experience (DX), ensuring B2B / B2D products work effectively for both human users and AI agents. The ability to explain design decisions with concrete arguments based on qualitative and quantitative user research. The ability to influence and negotiate at the executive level. An understanding that good design serves a deeper purpose than looking good. A strong drive for self-improvement, learning, sharing knowledge, and trying new approaches. Nice to have Interest in maps or cartography. Knowledge of the GIS or map industry. Experience with Agile methodology. What we offer Competitive financial compensation (€29 – €45 / hour) based on your experience & annual performance bonus. Widescreen LCD, a laptop of your choice, and all the resources you need for your work. Flexible working hours to help you easily balance your personal and professional life. Work remotely from anywhere in Czechia, or hang out with us at our hub in Brno. Collaborate with the best from major global brands . Grow your career with dedicated support for continuous learning, attending conferences, and building your personal brand. A friendly, connected team and regular team-building events across Europe. About MapTiler We make maps easy so that everyone can understand the world better. Our platform powers everything from global weather forecasting and humanitarian crisis management to flight trackers and the Swiss railways. Our maps are viewed by hundreds of millions of people worldwide every month. We are deeply rooted in the developer and open-source communities. Since our users and customers are primarily developers, engineers, and geo-experts, we don't only do traditional account management, we also build technical partnerships. To apply: https://weworkremotely.com/remote-jobs/maptiler-head-of-design-maps-platform-remote-in-europe

Headquarters: ignitionit.com URL: https://ignitionit.com Fully Remote · Work from home · Full-time (Eastern or Pacific time zones) · Apple-first TL;DR ignitionit.com is a seasoned, Apple-first MSP — in business for almost 30 years — and we're hiring a Help Desk Technician to be the friendly, capable first voice our clients reach when something isn't working. This position is a remote, work-from-home, full-time role. We've written this as a junior-to-mid-level job description because that's where most great people start on our team. But if you're more seasoned — comfortable in identity, MDM, or security work — don't scroll past. We'd be delighted to find someone who can step in higher up the ladder, and we'll happily talk about a more senior scope and comp if that's you. What the actual job??? Unlike many IT shops, we believe that the technology is the tactic. The actual job is making people feel taken care of. One of our core values is "49% tech support, 51% human support." You'll succeed by configuring devices, resetting access, untangling email, and chasing down the gremlin that's been haunting someone's conference room. But you'll know you succeeded when a client exhales and says, "Thank goodness you're on it!" That Warm Fuzzy Feeling™ is the actual product. The green lights on the dashboard are just how we get there. In a typical week, you might: Onboard a new hire at a fast-growing startup: provision their Mac, set up their Google Workspace or Microsoft 365 accounts, enroll the device in MDM, and make sure day one feels effortless. Offboard a departing employee cleanly — recover the laptop, revoke access, and close the loop so nothing's left dangling. All boxes checked, ticket notated and closed, client followed up with. Field a "my email stopped working" ticket that turns out to be a DNS thing, a phishing-filter thing, or a "they changed their password on their phone three weeks ago" thing. Help a family office or RIA get a touchy Zoom Room or conference-room AV setup behaving before a meeting — over the phone. Triage the queue so phones get answered fast, emails don't rot, and nobody feels forgotten — even when the honest answer is, "We're on it, but here's the realistic timeline." ⠀ You'll be the front line: helping with what you can, researching what you can't, and pinging the rest of the team when you're genuinely stuck. That last part is a skill, not a weakness — knowing when to ask is half the job. About ignitionit.com We're one of the oldest Apple Technical Partners on the planet, and one of the only certified Apple Premier Partners — that's kinda like getting knighted by the ghost of Steve Jobs. We started where you'd expect to find Macs (creative agencies, non-profits, education) but our primary clients today are cutting-edge, venture-backed AI SaaS startups, VC and private equity firms, registered investment advisors — many of them operating under stringent compliance expectations (SOC 2, SEC). That means we hold ourselves to a higher standard than the scrappy shop we started as. Polished, reliable, security-minded work is the baseline now — but always with a smile! What hasn't changed: relationships are still our most valuable currency — with clients, with vendors, and with each other. We're a tight, supportive team. We teach each other what we know, cover for each other when life throws a punch, and care a little too much about doing things the right way. We're still a bit weird, and our clients seem to like us that way. We move fast, priorities shift, it's not always documented (whatever it is), our tool set and list of supported platforms is sprawling, and some days the to-do list is longer than you'd like. If you can stay warm under pressure, create order out of chaos, learn new stuff fast because you love it, and speak up when you need help, you'll thrive here. If you need a rigid, fully-documented, never-changes environment where nobody trusts you with admin access, where you will be micro-managed so you never have to wonder whether or not you're doing the right thing, this isn't it. You'll have a ton of independence on our team, and freedom to use your best judgment to get the ball over the finish line, but that also means we expect you to be naturally responsible, honest, and highly accountable — to yourself, your teammates, and the clients. As they say, the price of freedom is eternal vigilance. The tech you'll work with (and grow into) Day one, you'll be living in: Apple at the core — macOS, iOS, Apple Business Manager, and MDM (Jamf / Iru / Intune / Workspace ONE / and more) Yes, PCs too — about one-third of our users are driving Windows Google Workspace and Microsoft 365 admin consoles Identity and access — SSO, MFA, and security keys (Okta, Entra ID, Yubikey, and friends) Lots of other security tools — our stack is constantly evolving and may vary from client to client The everyday productivity stack — Slack, Zoom, conference-room AV, networking basics (Meraki), and endpoint tooling ⠀ You don't need to know all of this. You need to be the kind of person who wants to. As you grow, there's a clear path into infrastructure administration, project architecture and implementation, and — for the right person — security and compliance work (phishing simulations, endpoint detection, SOC 2 / CIS / SEC readiness, due diligence questionnaire support, etc.). That's where our most senior people live, and it's wide open. Who we hope you are The hard requirements — we won't move forward unless you: Can work standard business hours in Eastern or Pacific time zones (we currently need both) Have a quiet home workspace and reliable broadband Have proven Apple aptitude — you actually use and like the Apple ecosystem Have at least 5 years of IT support experience on the job. ⠀ Everything else — and this is the longer list, on purpose. We figure technical skills are teachable; character takes a lot longer. So we're looking for someone who: Genuinely cares — about clients, teammates, and doing right by people Loves to learn, and proves it in how they spend their time Reads, and writes clearly — clear writing is clear thinking, and you'll do a lot of it Stays calm and kind with a frustrated person on the other end of the line Can tell the difference between good customer service and fantastic customer service, and refuses to settle for the former Notices when something's being done inefficiently and fixes it (you may boast about it later, that's fine) Proofreads their own work (yes, we noticed whether you proofread your application) Has a sense of humor, and doesn't take themselves too seriously Regarding AI Our company founder/CEO is headquartered in the Bay Area. We work with innovative, ambitious companies developing AI products. Our team members hold a range of opinions about whether AI is "good or bad" for humans, but at the end of the day, we embrace the plain fact that it is here, we must embrace it to evolve, and our clients increasingly depend on us to help them embrace it, too, to help them evolve and stay competitive. Our CEO's opinion: AI will not replace human labor any time soon; rather, AI is a new opportunity to either (a) get things done faster, or (b) get a much higher quality of output than before. If you're an AI tinkerer, great! We want to hear how you're using it and see your latest vibe project. If you're allergic to AI or have no interest in learning new habits to work effectively with it, this is not the place for you. Compensation & logistics Base salary: Applicants outside the USA will be compensated according to your local employment market. For applicants closer to the junior side who are located in the USA, $50,000–$65,000/yr, depending on experience level and your local geographical price index. With experience, comp goes up from there. Genuinely experienced, more senior candidates can be slotted higher — let's talk. Type & location: Full-time, work from home, fully remote. Eastern or Pacific time zones. Benefits: Medical / dental / vision for the employee, 401(k) with employer contribution, 2 weeks of PTO annually to start, and a stipend for your home internet. How to apply The first step is really easy and only takes 10 minutes — no resume, no cover letter, no essays. Here's how: Take this online Culture Index assessment (about 10 minutes): We use it to screen for people whose natural wiring fits how our team works. If your profile lines up with what we're looking for, we'll reach out and ask you to complete a 60-minute TestGorilla assessment for critical thinking skills, send us your resume, and maybe a couple of other items. From there, we conduct between 2-4 video interviews. One of these might be a live technical assessment. If the Culture Index step feels like a strange way to start a job application — that's kind of the point. Remember the phrase Think Different? Ignition is an equal opportunity employer. We welcome and will consider all qualified applicants. Good luck in your search — and may the Force be with you! To apply: https://weworkremotely.com/remote-jobs/ignition-inc-msp-mac-help-desk-guru-work-from-home

About Alta Ares Alta Ares is an air defense Neoprime. We build AI-guided interceptors to counter drones and cruise missiles, along with the software platform that powers them. Our customers are NATO-aligned militaries and defense institutions, and our systems are regularly deployed during live exercises and operational demonstrations across Europe, the Middle East, and Asia. Founded in 2024, we have grown to 90 people, raised over $60M, and increased revenue 40× this year. We are now entering a new phase of international expansion, industrial scaling, fundraising, and product development. Role & Mission As an MLOps Engineer , you will own the evolution of Gamma Ulixes , the AI product platform powering both our internal development workflows and customer-facing AI capabilities. You will work alongside Machine Learning Engineers, Software Engineers and DevOps Engineers to transform research prototypes into production-ready AI systems. Beyond infrastructure, you will help shape the tooling, services and workflows that accelerate the entire machine learning lifecycle, from data ingestion to deployment on operational platforms. This role is ideal for engineers who enjoy building products, automating complex workflows and enabling AI systems to scale reliably. Your Responsibilities Gamma Ulixes AI Platform Develop and improve Gamma Ulixes, our AI platform for training, evaluating and deploying machine learning models. Build experiment tracking, model registry and dataset management capabilities. Design reproducible ML workflows and automated training pipelines. Develop benchmarking, evaluation and model validation services. ML Infrastructure Design scalable infrastructure supporting computer vision and trajectory-based machine learning. Build APIs and backend services powering AI workflows. Manage GPU infrastructure, distributed training and resource orchestration. Improve monitoring, observability and reliability across AI services. Maintain reproducible development and deployment environments. Deployment & Edge AI Build CI/CD pipelines for machine learning models. Deploy AI services across cloud, on-premise and edge environments. Optimize inference pipelines for Nvidia Jetson and embedded hardware. Manage model packaging, versioning and rollout strategies. Improve deployment reliability across operational environments. Collaboration Work closely with Machine Learning Engineers to industrialize research workflows. Collaborate with Software Engineers to integrate AI capabilities into operational products. Help define engineering standards, tooling and best practices across the Data & AI team. Contribute to the evolution of Alta Ares' AI platform roadmap. Requirements Candidate Profile 3–5+ years of experience as an MLOps Engineer, ML Platform Engineer, Software Engineer or Data Engineer working on production machine learning systems. Strong Python software engineering skills. Experience designing and operating production-grade ML infrastructure. Solid understanding of Docker, Linux and containerized environments. Experience with ML experiment tracking, model registries and reproducible workflows. Experience designing APIs and backend services supporting AI applications. Familiarity with CI/CD, infrastructure automation and cloud-native development. Strong ownership mindset with the ability to drive projects from design to production. Comfortable collaborating across Machine Learning, Software and Infrastructure teams. Skills & Values Product Ownership Build products, not just infrastructure. Focus on developer experience and operational excellence. Deliver solutions that scale across teams and customers. Platform Engineering Design reliable, maintainable and observable AI systems. Automate repetitive workflows. Continuously improve engineering productivity. Execution & Autonomy Comfortable taking ownership of complex technical projects. Pragmatic, impact-driven and hands-on. Thrive in fast-moving environments with high technical standards. Collaboration Work effectively across AI, Software and Infrastructure teams. Communicate clearly and document engineering decisions. Contribute to a strong engineering culture built around quality and continuous improvement. Find Jobs in France on Arbeitnow

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role We are seeking a highly skilled and motivated Technical Program Manager to lead and scale human data annotation operations for our Code team. In this pivotal role, you will collaborate closely with researchers to define and drive data strategies. This role is a critical link between research, product, engineering, and annotation teams, and will be key in accelerating research at Mistral AI. What will you do Partner closely with code research team to develop data strategies and translate research needs into operationalizable human data annotation campaigns Drive human data annotation campaigns, from scoping through delivery, balancing data needs, budget, delivery timeline Manage a data quality assurance team that designs and implements rigorous and scalable quality control processes, including running automated and manual checks, synthesizing actionable insights, and driving continuous improvement Establish and maintain strong relationships with annotation teams (e.g. contractor, vendor) to generate high quality data, spanning phases across sourcing, contracts, onboarding / training, performance monitoring, etc. What We're Looking For 5+ years of relevant experience, with a blend of software engineering and technical program management Strong technical foundation in Python Highly organized, detail-oriented, and able to work well under pressure - excellent project management skills, with the ability to successfully manage multiple projects simultaneously Great communication skills, capable of engaging effectively with both technical and non-technical stakeholders Autonomous and proactive problem-solver with a continuous improvement mindset Experience leading a team, with a low ego and team spirit mindset Embraces hands-on, operational work in a fast-paced and dynamic environment Nice to have criteria/ would be ideal if you have/are: Proficiency in JavaScript/TypeScript and experience in modern web frameworks (FastAPI, Django, React, …) Experience with operations around data collection, annotation, and/or quality assurance Experience with vendor and/or contractor management Understanding of and interest in LLMs What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy . Find Jobs in France on Arbeitnow

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a Software Engineer, Network Automation - WAN & Edge, you will design, automate, and operate resilient connectivity between data centers, cloud environments, external networks, and the internet. Your work will span routing, firewalls, traffic engineering, and production troubleshooting. This is a hands-on role for an experienced network engineer who can build, test, debug, and review production-grade automation. Networking depth and strong software-engineering judgment matter more than familiarity with any particular language, platform, or tool. What You Will Do Design and evolve resilient inter-site, cloud, and internet connectivity for large-scale AI infrastructure. Own external BGP policy and traffic engineering at the edge, including route filtering, failover, and capacity planning. Build API-driven automation for edge routing, firewalls, VPNs, carrier connectivity, and network segmentation. Coordinate with carriers, cloud connectivity providers, colocation partners, and vendors on design, provisioning, incident escalation, and service improvement. Design safe change workflows with automated validation and resilience testing, staged rollouts, observability, rollback, and recovery. Participate in on-call rotation, troubleshoot active WAN and edge incidents, restore service, and turn root causes into lasting improvements. Review designs and code, explain networking trade-offs, and help raise network engineering quality across the organization. What We're Looking For Deep, hands-on WAN and edge networking experience across internet connectivity, data-center interconnect, private WAN, or cloud networking. A track record of taking external BGP designs from whiteboard to production and debugging them during production incidents. Experience integrating and troubleshooting stateful firewalls, NAT, asymmetric routing, and redundant edge designs on at least one major routing or firewall platform. Experience building or operating production network automation using network-management APIs and data models. You understand desired state and idempotency; relevant technologies might include REST, NETCONF, gNMI/OpenConfig, Ansible, or Terraform. Strong software-engineering fundamentals in a general-purpose language. You can design, test, debug, and review production systems and are willing to become productive in Go. Operational troubleshooting experience using routing and flow state, packet captures, link health, telemetry, and logs to diagnose production incidents. Clear, pragmatic communication and effective stakeholder management. You can translate technical needs into connectivity designs and provider requirements, define acceptance criteria and service-level expectations, and provide technical leadership. Nice to Have Experience with FortiGate, FortiManager, or comparable edge and firewall platforms. Deeper specialization in external connectivity, such as public-cloud or hybrid-cloud interconnect, or internet transit and peering. Exposure to edge security and scale techniques such as RPKI and route-origin validation, DDoS mitigation, or global traffic engineering. Familiarity with streaming telemetry, network source-of-truth systems, and configuration-compliance tooling. Experience reading, reviewing, or contributing to Go code. Familiarity with Kubernetes controllers, operators, or other declarative, reconciliation-based systems. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy . Find more English Speaking Jobs in France on Arbeitnow

Your tasks You will be part of one of our robotics development teams, working in a cross-functional product team to jointly improve the robotic system You are responsible for implementing safe and non-safe low-level software modules in the existing framework and ensure that they comply with applicable standards You create specifications for complex software modules, including their interfaces and test criteria, for our suppliers and external developers You implement and perform functional testing and troubleshooting directly on our autonomous robots and in our simulations You take responsibility for your work packages through to product integration, keeping an eye on quality and time You supervise the products from the prototype phase through pre-series production to serial production, testing and documenting changes Requirements You have successfully completed a bachelor's or master's degree in electrical engineering, mechatronics, or a comparable field of study You have at least 3 years of experience in PLC software development and hardware-software integration You convince with profound PLC programming skills in CODESYS / IEC 61131-3 for safe control systems with SIL/PL You have experience in the specification and validation of software modules, ideally based on the V-model in accordance with ISO 13849-1 You have experience with field buses (especially CANopen) and sensor-actuator integration You can develop deep system-level expertise, from electromechanical components all the way up to the HAL and autonomous software stack Ideally, you also have experience in the following areas: Unit testing for CODESYS Scripting Engine Programming in Python, C++ and C Standards: ISO 3691-4, EN 1175, EN ISO 13849 You are able to structure your work, manage dependencies to other teams and remove impediments on the road. You are keen to write clear technical documentation and work with software version control. You are fluent in English, German is a plus. The job is mostly done on-site, so ideally you live in/close to Munich. What we have to offer Cutting-edge technology : As pioneers in robotics we are able to navigate and manipulate without rails and guides and offer solutions to processes that no one could automate ever before! Team : We are an international team with more than 25 nationalities. You'll work in a team with exceptionally smart, humble, collaborative and hardworking individuals. Culture : Come as you are! Join a vibrant, inventive, and diverse team that values collaboration over hierarchy. To innovate you need to fail from time to time — we always learn and improve. Workplace : Our office is located near the S‑Bahn station "Hirschgarten". We work in a loft-style office with great equipment, our own workshop and testing area. Full Board : You don't feel like thinking about what you want to have for lunch tomorrow, not to mention preparing it? Luckily, our french cook treats us with a freshly cooked free lunch everyday! And as the cherry on top, there is a packed fridge with drinks, fresh fruits and of course coffee! Flexibility : Flexibility is a top priority for us. Our hybrid working model for positions where presence is dispensable helps to achieve a healthy work-life balance. Benefits : We offer attractive holiday, Wellpass, health care, and compensation packages. Learn more about our current benefits here. Not sure if you meet every single requirement? That's okay. We know that great people don't always tick every box. If you're excited about the opportunity to help shape the future of robotics and believe you can make an impact, we'd love to hear from you. Your experience may be a great fit for this role or another opportunity at Jungheinrich Robotics. At Jungheinrich Robotics, fostering inclusivity is very important to us. We are dedicated to create an inclusive environment for all candidates and provide equal opportunities to all qualified applicants regardless of gender, ethnicity, age, national origin, sexual orientation, culture, or education. If you need any reasonable adjustments to make the application process accessible for you, we'll do our best to accommodate you. Feel free to approach us for that! Find Jobs in Germany on Arbeitnow

Einleitung: Brennst du für digitale Produkte, Tech und AI – und arbeitest gern strukturiert im Hintergrund, damit vorne alles läuft? Dann bist du bei der Digitale Leute School richtig. In unseren Online-Bootcamps bilden wir Talente zu AI Software Engineers, Vibe Codern, Product Managern und Product Designern (UX/UI) aus. Als Assistent für die Bootcamp-Teams hältst du die Operations am Laufen, über unsere Bootcamps hinweg. Du sorgst dafür, dass Kursmaterialien sitzen, Abläufe funktionieren und unsere AI-Automationen zuverlässig arbeiten. Aufgaben Kursmaterialien & Dokumentation Du pflegst und aktualisierst Schulungsmaterialien im Online-Classroom – bootcamp-übergreifend Du sorgst dafür, dass Inhalte aktuell, sauber strukturiert und im Einklang mit unserem Branding sind Du hältst unsere Dokumentation und Prozess-Wikis (z. B. in Notion) gepflegt und auffindbar AI-Automationen Du pflegst und verbesserst unsere AI-Automationen (z. B. in Make und n8n) und hältst sie am Laufen Du lernst neue Automationen an, testest sie und meldest, wenn etwas hakt Koordination & Support Du unterstützt bei On- und Offboarding-Prozessen der Teilnehmenden über alle Bootcamps Du führst Teilnehmende und neue Kolleg:innen in unsere Tools und Abläufe ein Du dokumentierst Lernfortschritt und Anwesenheit und sammelst Feedback zur Optimierung Du hilfst bei der Terminkoordination zwischen Trainer:innen, Coaches und Kohorten Qualifikation Qualifikation: Abgeschlossenes Studium – Fachrichtung offen, Interesse an Tech/Product/AI ist wichtiger Begeisterung für digitale Produkte und AI-Tools – du probierst gern Neues aus Erste Erfahrung mit AI-Automationen (Make, n8n o. ä.) ist ein Plus, aber kein Muss – wichtig ist die Bereitschaft, dich reinzufuchsen Strukturierte, zuverlässige Arbeitsweise und ein gutes Auge fürs Detail Sicher im Umgang mit Cloud-Tools (Google Workspace, Slack, Notion); erste Berührung mit Online-Lernsystemen (LMS) von Vorteil Sehr gutes Deutsch und Englisch (C1) Benefits Benefits: Flexibles Arbeitszeitmodell mit Homeoffice, 1–2 Tage/Woche Office in der Kölner Innenstadt Moderner, digitaler Tool-Stack (inkl. AI-Tools, die du im Alltag nutzt) Selbstorganisiertes Arbeiten mit echtem Verantwortungsbereich Umfangreiches Onboarding und Training Einblick in den Betrieb einer wachsenden Bildungsplattform – über alle Bootcamps hinweg Ein dynamisches, unterstützendes Team Noch ein paar Worte zum Schluss: Das ist eine operative Hands-on-Rolle für jemanden, der gern organisiert, automatisiert und den Überblick behält für den reibungslosen Ablauf. Wenn du Lust hast, moderne AI-Tools im echten Betrieb einzusetzen und dabei zu lernen, freuen wir uns auf dich. Find Jobs in Germany on Arbeitnow

As a Research Engineer on our team, you will partner with Research Scientists to turn research ideas into working systems, building the data, tooling, and infrastructure that enable rapid iteration, trustworthy evaluation, and a smooth path from prototype to production. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: Build and operate multimodal data pipelines, training and evaluation infrastructure, benchmarks, and internal tooling Implement models, run experiments at scale, and profile for reliability, performance, and cost Build simulation environments and replay infrastructure for agent training and evaluation Orchestrate distributed training and distributed RL with Ray, including scheduling, scaling, and failure recovery Establish rigorous automated benchmarks and regression tests for world model predictions, agent performance, and simulation fidelity Collaborate with Research Scientists, Product, and Engineering to integrate capabilities into Datadog's products and to harden prototypes into reliable services Contribute to research publications at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and produce high-quality code, documentation, and open-source artifacts Who You Are: You have depth in distributed computing, RL Infra, and ML systems for training and inference at scale; experience with Ray, Slurm, or similar frameworks is a plus You are proficient in Python, familiar with a systems language (e.g., Rust, C++, or Go), and comfortable with modern cloud and data infrastructure You have practical experience implementing and operating ML training and inference systems (e.g., PyTorch or JAX), including containerization, orchestration, and GPU acceleration You have practical experience with large-scale model training and fine-tuning, including frameworks like Megatron-LM, DeepSpeed, SkyRL, VeRL, or TorchTitan, and techniques such as SFT, RLVR, RLHF, and efficient inference (quantization, speculative decoding) You can explain design and performance trade-offs clearly to both technical and non-technical audiences You have experience supporting or contributing to research publications Bonus Points (any of the following): You have strong software engineering skills with experience in domains such as observability, SRE, or security You have experience bridging research prototypes and real-world product applications, especially with large foundation models, world models, or RL-trained agents You have a passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment You have hands-on experience with GPU programming and optimization, including CUDA You have experience writing production data pipelines and applications You have experience building simulation or sandbox environments for agent training Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Competitive global benefits New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris Opportunity to attend and present at conferences and meetups Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Your Privacy: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. #LI-hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines . Find more English Speaking Jobs in France on Arbeitnow

About Datadog: We're on a mission to build the best platform in the world to defend the enterprise from code-to-cloud-to-runtime. Used by thousands of companies globally, Datadog security products uniquely leverage Datadog's unified security and observability platform so Security, DevOps and SRE can collaborate rapidly and seamlessly to deliver better detection, prioritization and remediation. Our product and engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity: In this competitive market, the Director of Product Management for Cloud Security and Platform will play a mission-critical role in providing product and strategy leadership to grow Datadog's market share through differentiation, innovation and compelling customer value. This leader will work with a talented and growing team of product managers and engineers to build and grow multiple product lines that play an essential role for our customers' cloud security programs and the shared platform capabilities supporting all Datadog security products, to establish Datadog as a security industry leader. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Run and grow multiple product lines to meet revenue and business targets with the goal of building a multi-hundred million dollar annual business. Lead and own product strategy and roadmap for accountable security product lines, fully aligned to revenue and business goals and with compelling differentiation and customer value. Ensure predictable roadmap execution across direct and partner teams to achieve product and business outcomes required to meet the revenue and business goals. Analyze and develop pricing and packaging strategies to maximize revenue through attaching deep understanding of market dynamics and other strategic leverage points. Drive GTM strategy with GTM partner teams to achieve revenue and business goals. Fulfill the role as the product-leader representative across accountable product lines with analyst, press and customer communities. Manage and grow both manager and individual contributor (IC) Product Managers, ensuring they are motivated, delivering high quality work and finding high fulfillment. Model and contribute to a culture of learning and collaboration across product management and the broader organization. Raise the bar of PM leadership through leadership in strategy development, roadmap planning and execution, GTM and overall product-leader responsibilities. Who You Are: An experienced leader in Product Management with demonstrated business growth and customer adoption success in the CNAPP market, as well as demonstrated experience driving shared platform capabilities in service of multiple products. A seasoned team leader with experience directly managing product management teams and mentoring talent into sustained high performers. Passionate about GTM and have demonstrated success in developing GTM programs and achieving GTM targets with counterparts in sales, sales engineering, channels, marketing and customer success. Excellent at cross-functional alignment and ensuring all partner organizations are fully aligned and committed to delivering what is needed to achieve roadmap and business goals. Highly skilled in pricing and packaging strategies to maximize revenue potential and strategic advantage. Highly customer-centric and a convincing champion of the needs of the customer to deliver a compelling, high value and high quality customer experience across all phases of the customer lifecycle. Previously a software engineer, security engineer or have demonstrated technical knowledge to be able to discuss technical concepts with customers and engineering counterparts. A compelling presenter with excellent verbal and written communication skills with a proven track record of presenting and defending your ideas to executive, technical and non-technical audiences, as well as external audiences including industry analysts. Highly data-driven with an advanced analytical aptitude that can draw critical insights through synthesizing market, competitive, usage, pipeline and other data sources. Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your experience, we encourage you to apply. Benefits and Growth: Work on industry-leading cloud security products that protect organizations at global scale. Lead highly talented product management teams solving complex technical challenges. Partner with world-class engineering and go-to-market organizations. Influence company strategy and the future direction of Datadog's security platform. Grow your leadership through meaningful ownership, mentorship, and cross-functional collaboration. Contribute to an inclusive culture focused on learning, innovation, and customer impact. Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines . Find more English Speaking Jobs in France on Arbeitnow

AI Platform builds the foundations of Datadog's AI efforts. The org is 70+ people organised in three pillars: training and serving (GPU clusters, distributed training, low-level infrastructure), agents (agent harnesses, memory systems, the internal AI gateway that routes every LLM request at Datadog), and evaluation and experimentation. This role sits in the evaluation and experimentation pillar, which owns Datadog's shared annotation and evaluation infrastructure — including the evaluation scenario store and the telemetry archival systems used across the Bits org. Together they let an agent travel back in time and query what Datadog looked like at the exact moment an incident happened, so scenarios can be replayed and agent performance tracked over time. Specifically, you'll be the first applied scientist on GenSim (Generative Simulations), the team that builds the environments Datadog's agents learn in. GenSim doesn't replay sampled telemetry — it stands up real, fully instrumented applications that talk to Datadog, drives them with representative traffic, injects controlled failures, and records what happens. Because GenSim injected the failure, it knows the ground truth. That corpus — hundreds of postmortem-derived scenarios and thousands of runnable applications — is today the primary source of post-training data for Datadog's own SRE model, and the substrate that Bits AI SRE and our other agents are trained and evaluated against. The team has no applied science support today and is learning post-training data methodology on the fly. That's the gap this role fills, and the open questions are the interesting part. How do you tell whether a generated environment is actually representative of the messy, incomplete telemetry real customers run — rather than a suspiciously clean one where every monitor exists and every service emits complete logs? How do you make injected problems genuinely hard, and how do you even measure difficulty? How do you define and control the quality of post-training data when correctness, representativeness and difficulty pull in different directions? How do you evaluate an agent end to end when the trajectory is non-deterministic? Creating simulated agent environments for monitoring and SRE work is not well solved in open source or in published research, and Datadog is the leading company in this field. If those are the problems you want to spend your time on, come build this with us. What You'll Do: Own the applied science direction for GenSim: set the methodology and the forward-looking technical calls on how simulated environments and post-training data should be built, on a team where that decision-making does not exist yet. Define, measure and raise the quality of post-training data — basic correctness, representativeness against the real distribution of customer systems and production telemetry, and difficulty — and make those measures something the team can act on release over release. Close the realism gap. Simulated environments today are too clean and the injected problems are not yet hard enough; you'll drive the research and the engineering that make them look like real, imperfect production systems. Build scalable, production-grade systems rather than research scripts. The output is not just a dataset — it is a system of synthetic environments that must be reliable and invokable inside a training loop. Determine how this data is best applied, in LLM post-training and in evaluation, and own the agent and LLM application evaluation approaches for these environments. Work cross-functionally with the engineers and applied scientists on adjacent teams — Bits AI SRE, the model training effort, and the wider evaluation and experimentation pillar — so that what you learn moves freely in both directions. Who You Are: You have a PhD, MS or equivalent research experience in a scientific field, with strong applied mathematics grounding. 6+ years of relevant applied science or ML engineering experience, including setting technical direction for others. You have hands-on experience with LLM and agent post-training data: how it is created, managed, and how training-data quality is controlled. This is the requirement that matters most. You have real domain expertise in LLMs and agentic applications — not classical ML fine-tuning. Fine-tuning classifiers or traditional models is a different problem from the one this team is solving. You have evaluated agents or LLM applications, and can define what 'good' means before you measure it. You are a strong programmer and production software engineer. Python at minimum, plus the ability to ship scalable production systems and work with distributed systems. You collaborate well across engineering and science teams, and you're comfortable being the domain expert who decides what comes next. You thrive in ambiguity and can make sound technical calls when the path isn't yet defined. Bonus Points: Hands-on LLM fine-tuning, post-training or model training experience. Background in statistics, experiment design and data analysis. Experience deploying production-level ML infrastructure. Observability or monitoring systems background. Architecture-level understanding of LLMs. Benefits & Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intra-departmental mentor and buddy program for in-house networking An inclusive company culture and the ability to join our Community Guilds Access to Inclusion Talks, our internal panel discussions Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines . Find Jobs in France on Arbeitnow

As a Platform Security Engineer you will partner with different stakeholders across the organization to secure our infrastructure and application components of the Datadog platform. As part of the Platform Security organization we secure the building blocks of Datadog's applications and infrastructure. We do this by building solutions solving systemic risks making the secure path easier and the insecure path harder. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: Solve our most challenging cloud infrastructure security & application security problems starting with our core building blocks and golden paths. Enable our engineers to build and ship secure solutions quickly. Build and extend Datadog's Platform Security solutions. Leverage and influence the direction of Datadog's products to secure our infrastructure, and provide internal feedback that enables our teams to improve the products for ourselves and our customers. Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent professional experience. You don't want to just provide security recommendations, you want to help implement solutions to solve systemic issues. Passionate about advocating for and implementing solutions to complex security problems, at-scale, in a large multi-cloud self-managed Kubernetes environment. Proven experience in securing enterprise SaaS applications including securing the underlying authentication flows, authorization patterns, and input validation at API boundaries. You have hands-on experience with Linux kernel internals (namespaces, cgroups, capabilities, seccomp) and hardening techniques such as KASLR, module allowlisting, or kernel self-protection (KSPP) controls. Experience with virtualization or microVM technologies (KVM, QEMU, Kata Containers, Firecracker, or similar) and the security boundaries a hypervisor provides versus a container. Familiarity with container runtime internals (containerd, OCI runtimes, checkpoint/restore). Demonstrated experience in securing the deployment & management mechanisms for software and infrastructure changes. Familiarity with common security frameworks such as OWASP, MITRE ATT&CK, PASTA/STRIDE, CIS, etc. You have prior experience in Software Engineering, Platform Engineering, Systems Engineering, Network Engineering, Cloud Security or Application Security. Software engineering background with hands-on code review experience; Go, Python, or Rust Experience with one or more Kubernetes PKI & network technologies (Consul, Envoy, Cilium, Vault, Istio, etc.) and eBPF-based tooling. Experience with one of the major cloud providers (AWS, Azure, GCP) and Kubernetes. Able to work both independently and collaboratively, willing to work in a fast paced, high growth environment. You stay updated with modern security best practices, technologies and emerging threats. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines . Find Jobs in France on Arbeitnow

We are looking for a strong technical leader to join the Private Action Runner team, part of the larger Action Platform group and help shape one of the core execution layers behind Datadog's action-taking and remediation capabilities. Private Action Runner (PAR) enables Datadog products and AI agents to securely run actions inside customer infrastructure with controls for authentication, permissions, auditing and safe execution. The role will be hands-on, covering architecture, implementation, reliability and collaboration with teams integrating PAR across Datadog. It also offers leadership exposure through leading a team of 3 engineers, with the expectation that the role will quickly transition into a formal Engineering Manager 1 position as the team grows. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: (Describe role responsibilities here) Solve a scaling bottleneck in a critical service Deploy a new feature to production, progressively rolling it out with feature flags Investigate and fix a production issue from a service your team owns Design a way to scale up a service for more traffic With your team, plan the most important projects to work on next Mentor and lead a small team of 3 engineers Who You Are: (Describe role qualifications here) You have significant experience in one or more languages You value code simplicity and performance You can design architecture to solve problems at high scale You have a BS/MS/PhD in a scientific field or equivalent experience You want to work in a fast, high-growth startup environment that respects its engineers and customers You're excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You have demonstrated ability to use AI coding tools in day-to-day workflows and build, validate, and refine AI-generated output in products You can design AI Backend systems, with awareness of quality, cost, and latency tradeoffs You are willing to lead and support a small group of engineers Bonus: You have previous experience mentoring or leading small teams as a tech lead or team lead Bonus: You're motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: (Describe opportunities offered here) New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines . Find Jobs in France on Arbeitnow