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We Are Sparta Sparta is the AI leader for commodity trading, home to Leonidas AI, the first operating system for oil and commodity traders. Backed by $42 million in Series B funding led by One Peak, with participation from returning investors FirstMark and Singular, the same investors behind AI leaders like Legora, Dataiku, and Synthesia. Most companies are building a chatbot on top of data. We've built an agent with an actual reasoning layer, grounded in years of proprietary market data and in-house trading expertise nobody else has. We're scaling fast, and it's an exciting time to join. From independents to multinationals, the world's leading commodity teams use Sparta and Leonidas AI to move faster, trade smarter, and stay ahead of the market. At Sparta, you'll be trusted to take ownership, backed by a team who wants you to succeed. AI is how we build here, not just what we sell. Good ideas move fast, and yours could go from staging to production in a couple of hours, whatever department you're in. You'll be challenged, supported, and given room to grow, building the AI that's changing how commodity trading gets done. Your work has reach. From shaping Leonidas AI, to powering smarter decisions for traders around the world, to changing how commodity trading is done. And because we're growing fast, you'll accelerate your career with a level of ownership and impact you simply won't get at bigger, slower-moving companies. At Sparta, we're on a mission to build the next generation of commodity trading platforms - replacing the fragmented tools that traders typically rely on with a single, powerful dashboard. Our product is a data-driven platform that aggregates real-time feeds from across the commodities domain, transforming them into intuitive, actionable visualisations within one unified interface. Users can explore pre-built data views or define their own custom formulas to create tailored insights. To deliver on this vision, our engineers tackle real distributed systems problems on a daily basis, where designing for reliability and performance at scale is essential to a seamless user experience. As we unlock the next level of scale, those problems get harder and more interesting. This role is for an engineer who wants to own meaningful parts of that system now, and grow into the technical decisions that shape it. We're looking for people who thrive in an empowered environment - engineers who are comfortable being given problems to solve rather than solutions to implement. You should enjoy working at pace, value autonomy, and prefer to ask for forgiveness rather than permission. You won't be handed tickets. You'll be handed context, and trusted to work out the right thing to build. Whereas Sparta is a remote-first company, for this role we're looking for someone who values a hybrid working style, which in a typical week could involve spending a couple of days in the office - with flexibility built in. WHAT YOU'LL BE DOING: Design, build and maintain the backend services behind our real-time and analytical data processing. Own features end to end, from shaping the approach to running them in production. Optimise pipelines and services for low latency, high throughput and scale. Work with engineers, product and stakeholders to stay aligned on direction. Contribute to design reviews with a clear view on the trade-offs. Keep your services healthy - observability, feedback loops, incident response. Raise the bar around you through code review, pairing and knowledge sharing. ABOUT YOU: 4+ years as a software engineer, with production systems you've built and supported. High ownership tendencies Experience in a product-focused organisation, working cross-functionally. Comfortable across multiple languages. We mainly use Kotlin, Java, Python and TypeScript. Able to reason about trade-offs - throughput, latency, consistency, cost - and explain them. At home in system design and in low-level implementation detail. Experience building and deploying services on AWS or GCP. Hands-on exposure to Kafka, Flink, Redis or clustered Postgres, and an appetite for more. Comfortable with agent-based development tools. We use Claude Code; any equivalent is fine. A clear communicator and a pragmatic problem-solver. NICE TO HAVE EXPERIENCE: Data-intensive applications at scale. Building and interpreting observability - metrics, logging, tracing. Working within or alongside DevOps, SRE or infrastructure teams. Complex distributed environments - high throughput, low latency, large datasets. Any exposure to commodities, energy or financial markets. Useful, but we'll teach you the domain. Why Join Sparta? At Sparta, our culture is built on innovation, collaboration, and high performance. We thrive in a fast-paced environment where initiative is celebrated, challenges are embraced, and impact is rewarded. • Equity in a high-growth, VC-backed company • $42M in Series B funding — strong market traction and investment • Early-stage growth — build your career as we scale • Market-leading product — we are redefining commodity trading intelligence • Top-tier tools and technology to support your success What's the Culture Like at Sparta? At Sparta, our culture isn't just a set of values on a wall — it's how we work. We embrace a dynamic environment where initiative is celebrated, challenges are met head-on, and innovation thrives. You'll collaborate with people who are passionate about our mission and committed to building outstanding products and outcomes for our customers. The Sparta Code Understanding is non-negotiable Understanding leads to believing. Believing leads to winning. The 'why' is the difference between compliance and conviction. Before we execute, we ask: why does this matter, who does it serve, what changes if we win? People who understand the mission don't need to be managed. Ask for forgiveness, not for permission Most decisions are reversible. Most fears are not. 90% of decisions are reversible. Make them, ship, iterate. Perfection is the enemy of efficiency. Bias for action means moving before you have all the answers, but it isn't recklessness. The rule: tell the rest of us what you did, what changed, what you learned. Fall in love with the problem The mission wins. Your idea doesn't have to. Solutions flatter our ego. They feel like progress. But solutions without problems are opinions, and opinions don't move customers, markets, or teammates. The goal is to find what's true, not to win the room. If your idea gets killed because a better one comes along, that's the system working. It's your fault. Lucky you. If it's on you, it's in your control. True ownership sounds harsh until you feel how liberating it is. If every problem is yours, you stop spending energy on who to blame and start spending it on how to fix it. Effective leaders default to 'it's on me'. Not out of guilt, but out of agency. Conflict is a gift Honesty is an expression of care. Withholding feedback is choosing comfort over growth, yours and your colleague's. Staying silent deprives others of the chance to learn. We challenge openly and with positive intent. Done with care, this builds trust. Done with ego, it destroys it. Sparta Commodities is proud to be an equal opportunity employer and promotes diversity within its workforce. We are determined that no-one will ever receive less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, veteran status or any basis covered by appropriate law. Find Jobs in United Kingdom on Arbeitnow

About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn't know where things are, how spaces fit together, or what changes over time. That's one of the biggest unsolved problems in AI, and it's the one we're solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That's why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world's most widely used maps. Now we're building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role You'll help build the geometric foundation of the next-generation world map — joining our World Map Research Engineering team (Geospatial Alignment) as a Research Engineer or Senior Research Engineer. This is an end-to-end applied research role that spans from strong engineering and data-systems work to R&D in 3D deep learning, transformers, and foundation models. You'll develop new algorithms, produce the research data and evaluation assets needed to advance them, and engineer the resulting capabilities into dependable production systems. The World Map team works with heterogeneous captures from phones and handheld devices, aerial imagery, LiDAR, and 360 cameras, as well as external geographic and elevation data. The central challenge is to harmonize these data sources, quantify uncertainty, and maintain consistency as the map evolves. You'll work at the intersection of cutting-edge research and scalable engineering — developing new approaches to geospatial registration, correspondence, and geometric optimization, then productionizing these technologies to directly improve Niantic Spatial's world model. What You'll Do Geospatial Registration — Develop and advance algorithms for world-scale georeferencing and registration across imagery, 3D reconstructions, point clouds, and geographic reference data. 3D Geometry & Correspondence — Build and improve methods spanning multi-view geometry, SfM, SLAM, feature matching, learned correspondence, bundle adjustment, point-cloud registration, and ICP. Data & Evaluation — Create the data and evaluation flywheel for world-scale mapping — design and maintain large-scale datasets, pipelines, benchmarks, and evaluation methodologies that expose hard failure modes, accelerate research iteration, and support production. Learning-Based 3D Reasoning — Explore and develop learning-based approaches for geospatial understanding, combining transformers and 3D foundation models with geometric priors and uncertainty modeling. Production Robustness — Design robust solutions for challenging real-world conditions: sparse or noisy GPS, changing appearance, inconsistent reconstruction quality, large geographic extents, and imperfect reference maps. Cross-Functional Collaboration — Partner with leading researchers in visual localization, 3D computer vision, and mapping — as well as engineering and product teams — to identify high-impact problems and turn research breakthroughs into end-to-end production systems. Research Communication — Share results clearly through technical writing, design reviews, and internal presentations; contribute to publications and open research where appropriate. What You'll Bring Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Photogrammetry, or a closely related field — or equivalent research or industry experience. Strong grounding in 3D computer vision, machine learning, robotics, photogrammetry, or a closely related area. Demonstrated experience with 3D geometry and several relevant areas — multi-view reconstruction, SfM, SLAM, camera pose estimation, point-cloud registration, image-based localization, georeferencing, or sensor fusion. The ability to formulate ambiguous real-world problems, choose the right mathematical or learning-based tools, and evaluate solutions rigorously. Strong Python skills and experience with modern ML and scientific-computing libraries (PyTorch, NumPy, SciPy). Strong software engineering skills — you can turn research prototypes into reliable, scalable, and maintainable systems. A track record of taking an algorithm from research idea and experimental prototype through evaluation, benchmarking, and deployment on real-world data. Clear written and verbal communication; able to collaborate effectively across research and engineering disciplines. Nice to Have PhD in computer vision, robotics, machine learning, photogrammetry, geodesy, remote sensing, or a related field — not required, but valued. A strong publication record or active involvement in the research community at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, 3DV, ICRA, or RSS. Experience with learning-based approaches for visual or 3D understanding — transformers, point transformers, foundation models, or methods combining learned representations with explicit geometric priors. Experience with aerial or satellite imagery, GNSS/GPS, geodesy, mapping systems, or large-scale spatial data. Evidence of technical leadership, mentorship, or successful cross-functional delivery. Compensation & Benefits Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. Location & Work Model This role is based in our London office, with three days per week in office. We welcome applications from candidates who require visa sponsorship. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice . 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Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put your technical foundations to work on the cloud platforms that help demanding AI workloads run at scale. As a Graduate Cloud Platform Engineer, you'll help develop, deploy and operate services across Graphcore's high-performance AI infrastructure. Your work will support the systems used by internal teams and Graphcore cloud customers. We believe technology should expand human potential and make progress more accessible. You'll write automation, investigate issues, analyse logs and metrics, and help validate AI hardware and the infrastructure around it. It's a chance to see how Linux, networking, storage and cloud services fit together and contribute to the platforms that make large-scale AI possible. How you'll learn and grow During the two-year programme, you'll build practical experience in Linux, cloud technologies, networking, storage, observability, OpenStack , Kubernetes, continuous integration and delivery (CI/CD), and Infrastructure-as-Code. Hands-on automation and troubleshooting will help you understand how these systems fit together and develop a methodical approach to investigating issues. You'll learn to use logs and metrics to test your thinking and explain what you find. Working with engineers, researchers and Datacentre Operations will help you understand how platform decisions affect the people using these services and develop your technical judgement and communication skills. What we're looking for A bachelor's degree in Computer Science, Software Engineering, IT, Electronic Engineering or a related subject, completed by summer 2027 or within the two years before the programme starts Practical experience using the Linux command line, with scripting or programming skills such as Python or Bash Familiarity with Git or another version-control system, with a clear approach to documentation and code review A methodical approach to troubleshooting and the ability to communicate your findings and work with others You'll be curious about cloud infrastructure, platform engineering or computer systems, with an interest in areas such as networking, storage, containers or observability. You can demonstrate these skills through coursework, a dissertation, personal or team projects, open-source work, placements or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You'll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Cloud Platform Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow

As a working student in Software Engineering, you support the annotation and quality assurance of training data as well as the structured management of our datasets. You also contribute to the definition and evaluation of KPIs for assessing our models and assist in conducting end-to-end tests of the entire system pipeline. In addition, you research new approaches in the field of computer vision and compare them with existing solutions. Furthermore, you help to further develop our testing infrastructure and evaluation pipelines to ensure continuous quality assurance. What is your Day to Day Mission: Data Annotation & Dataset Management – Annotate and quality-check training data for object detection and end-to-end planner models, including bounding boxes, segmentation masks, and trajectory labels; maintain and version datasets to ensure consistency and traceability across model iterations KPI Definition & Model Evaluation – Design, implement, and continuously improve KPIs to monitor and benchmark the performance of ML models deployed on UAVs and UGVs, covering metrics such as detection auracy, latency, precision/recall, and robustness under real-world conditions End-to-End System Testing – Execute and automate end-to-end integration tests of the full perception and planning pipeline on target hardware (Nvidia Jetson), identifying bottlenecks and regressions across the entire system stack Research & Model Benchmarking – Independently investigate state-of-the-art publications and open-source models in computer vision, object detection, and autonomous systems; systematically compare novel approaches against our current solutions and document findings in a structured way Tooling & Test Infrastructure – Contribute to the development of testing scripts, evaluation pipelines, and CI-friendly unit tests to ensure continuous quality assurance of deployed ML components What you bring to the team: Educational Background – Currently pursuing a degree in Computer Science, Software Engineering, Robotics, or a related technical field Programming Proficiency – Solid hands-on experience in Python (NumPy, PyTorch/TensorFlow, OpenCV) and working knowledge of C++ for performance-critical or embedded applications Embedded Systems & Edge Deployment – Familiarity with Nvidia Jetson platforms (e.g. Jetson Orin/Xavier), including experience with deployment workflows such as TensorRT, CUDA optimization, or similar edge inference toolchains Computer Vision & Machine Learning – Practical experience with ML fundamentals and CV tasks such as object detection, image classification, or semantic segmentation; exposure to model training, fine-tuning, and evaluation workflows KPI Design & Testing Mindset – Ability to translate high-level system requirements into measurable KPIs and structured unit or integration tests; experience with testing frameworks (e.g. pytest, Google Test) is a plus Independent & Structured Work Ethic – Self-driven with the ability to manage your own tasks, prioritize effectively, and deliver results with minimal supervision in a fast-paced engineering environment Communication & Documentation – Strong ability to clearly communicate findings, test results, and research insights to both technical teammates and stakeholders; comfortable writing concise technical documentation and benchmark reports Research Curiosity & Applied Mindset – Genuine enthusiasm for following the latest developments in autonomous systems, robotics perception, and ML — and the drive to bridge the gap between cutting-edge research and real-world deployment on robotic platforms Why Quantum-Systems: We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus. We are industry pioneers who are ambitious, bold, and visionary. We push limits, think outside-the-box and strive for technological excellence to shape the future of aerial data. We promise to be your runway for individual and professional growth. Our benefits: Flexible working hours: With trust-based working hours, you are not only responsible for your working hours, but also for your work-life balance. Mobile working: If it gets too turbulent for you in our office, you can get the necessary balance through mobile working. Stay active: With EGYM Wellpass, you get access to thousands of fitness and sports facilities — and of course, we subsidize the membership. Corporate Benefits: Your opportunity for attractive offers and discounts from well-known suppliers and brands, e.g. Adidas, Apple, Expedia. Employee events: We not only want to grow together, but also celebrate our successes together. Canteen: Be powerful with delicious energy, daily lunch budget is sponsored. Company Shuttle: Enjoy our convenient shuttle service that picks you up from Laim in Munich and brings you to our location, with return trips at the end of the workday. About us: Quantum Systems specialises in the development, design, and production of small Unmanned Aerial Systems (sUAS). The company's range of electric vertical take-off and landing (eVTOL) sUAS are built to maximize range and versatility and to provide operators with a seamless user experience. By integrating cutting-edge software capabilities, like edge computing and real-time AI-powered data processing, Quantum Systems is building next-generation UAS for clients in defence, security, public sectors. Our commitment: We are an open-minded company that not only values diversity, but actively promotes it. Regardless of gender, age, ethnic origin, religion, sexual orientation or disability, we firmly believe that the diversity of our employees is an essential part of our success. At our company, every voice is heard and every perspective is valued. We believe that our differences enrich us and help us to find creative solutions and generate innovative ideas. We pride ourselves on creating an inclusive work environment where all employees can reach their full potential. Find Jobs in Germany on Arbeitnow

Consequential Work. Dedicated People. About Onebrief Onebrief builds collaboration and AI-powered workflow software for military planning and operational coordination. Military planning is complex by nature, requiring teams to coordinate information, people, and decisions across systems and locations. Onebrief brings planning, collaboration, simulation, and AI into one connected environment, helping teams test strategies, adapt to changing conditions, and make decisions with greater clarity when the stakes are real. We are a distributed team of builders from military, operational, and technology backgrounds who care deeply about improving how important work gets done. Some team members work remotely, while others work directly alongside customers in operational environments around the world. Founded in 2019, Onebrief is backed by leading investors including General Catalyst, Battery Ventures, Insight Partners, Sapphire Ventures, and Human Capital. Valued at more than $2 billion, we continue to invest in product innovation, AI capabilities, and team growth. About the Role We are hiring a Site Reliability Engineer to support Onebrief deployments across on-premises hardware, virtualized systems, and cloud environments. This is a hands-on infrastructure role focused on Linux administration, hardware maintenance, and application reliability. You will manage Linux servers, NVIDIA DGX Spark or similar AI computing systems, rack-mounted equipment, and the applications running on them. You will also support workloads deployed on virtual machines, Kubernetes, and cloud infrastructure. Your primary responsibility is keeping these environments operational and maintaining a 99.5% application availability target . You will troubleshoot production issues, perform routine maintenance, and work with engineering teams to improve system reliability. You will work primarily on-site with military customers in Wiesbaden, Germany, alongside Onebrief Outcome Engineers, Mission Success, GRC, and Infrastructure teams. Some environments have limited connectivity or operate on air-gapped networks, requiring practical troubleshooting skills and careful planning for maintenance and deployments. Security Clearance, Location, and Onsite Requirements This role requires regular on-site work at customer locations in and around Wiesbaden, Germany. Relocation assistance is available. An active Top Secret clearance is required, with the ability to obtain SCI eligibility. Active Security+ (or another DoD 8570.01-approved credential) is required, or the ability to obtain one within 30 days of hire. About You You have a strong background in Linux systems administration and experience supporting production applications. You are comfortable working directly with server hardware, troubleshooting operating system issues, and diagnosing application failures. You understand how infrastructure problems affect the software running on it and know how to narrow down the cause of an outage. You take responsibility for the systems you maintain and communicate clearly when problems arise. You can work independently at a customer site while collaborating with remote engineering teams. You value good documentation, practical automation, and fixing recurring problems. What You'll Do Maintain Linux systems and hardware: Install, configure, patch, and troubleshoot Linux servers, NVIDIA DGX Spark or similar GPU systems, rack-mounted equipment, and virtual machines. Handle hardware diagnostics, firmware updates, and routine maintenance. Operate production applications: Deploy, monitor, upgrade, and troubleshoot applications running on Linux, virtual machines, Kubernetes, and cloud infrastructure. Work with software engineers to resolve application issues and improve deployment processes. Maintain application availability: Work toward a 99.5% uptime target across assigned environments. Monitor application and system health, respond to alerts, investigate performance issues, and address problems before they cause extended outages. Respond to incidents: Diagnose hardware, operating system, network, and application failures. Restore service, coordinate escalations, and document root causes and corrective actions through After Action Reviews (AARs). Improve operations through automation: Use scripting and configuration management tools to simplify deployments, patching, monitoring, and recovery. Support secure operations in cloud, on-premises, and air-gapped environments. What We Look For Active Top Secret clearance, with the ability to obtain SCI eligibility. 5+ years of experience in Linux systems administration, SRE, infrastructure engineering, or a related role. Strong Linux administration and troubleshooting skills, including networking, storage, system performance, and security configuration. Hands-on experience maintaining physical servers and troubleshooting hardware failures. Experience supporting production applications on Linux servers, virtual machines, or containers. Familiarity with Docker and Kubernetes, including application deployments and basic troubleshooting. Understanding of networking fundamentals, including TCP/IP, DNS, routing, and firewalls. Experience with monitoring, incident response, and root cause analysis. Ability to automate routine administration tasks using Bash or Python. Nice to have qualifications Working knowledge of at least one cloud platform, preferably AWS or Oracle Cloud Infrastructure (OCI). Experience with NVIDIA DGX Spark, GPU servers, or similar AI computing hardware. Experience with virtualization platforms such as VMware, Proxmox, or Nutanix. Familiarity with infrastructure automation tools such as Terraform or Ansible. Experience with Prometheus, Grafana, Loki, or similar monitoring tools. Experience supporting systems in DoD, classified, or air-gapped environments. Familiarity with DoD security requirements, including STIGs and RMF. Experience with CI/CD pipelines, GitOps, or Kubernetes administration. Relevant certifications such as RHCSA, RHCE, CKA, or AWS certifications. Notice to Third Party Recruitment Agencies Please note that Onebrief does not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed Recruitment Services Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement Onebrief explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of Onebrief. Compensation: $205K – $250K • Offers Equity • $205K – $250K • Offers Equity Find more English Speaking Jobs in Germany on Arbeitnow

About the Role Join us as a working student and help build an internal data platform for analyzing scientific publications in robotics and AI research. The platform brings together openly available information about publications and turns it into a clear, reliable picture of how the research field is developing. Your work will give our team a solid data foundation for understanding research trends, emerging topics, and where new momentum is building. You will design and develop software tools that collect, validate, store and visualize this information, and you will see your work used by colleagues in their daily work. What You Will Do Build and maintain an internal research data platform Design, implement and maintain an internal application for collecting, processing, validating, storing and visualizing publication data Develop components for automated data acquisition from open sources such as scholarly APIs, repositories and websites Implement backend services and data pipelines for reliable processing and integration Contribute to frontend components for accessing, managing and exploring the data Use AI-assisted development practices to build and extend the platform efficiently Ensure data quality and automation Implement automated and AI-supported validation, cleaning and quality assurance for the collected data Support the analysis of publication content, for example through text extraction or classification Keep the data consistent, traceable and usable across the whole system Visualize and report Develop dashboards and visualizations that make research trends and KPIs easy to explore Improve usability and functionality of the application together with its users Help to continuously enhance the platform What You Bring Currently enrolled in Computer Science, Data Science, Software Engineering, Statistics, Robotics or a related field Good knowledge of Python and web technologies (HTML, CSS, JavaScript) Knowledge of SQL and databases Experience with APIs, web scraping and workflow automation Experience with AI-based software development, such as working with AI coding assistants and integrating AI models into applications Experience with Git and Docker Strong analytical and problem-solving skills, with high attention to detail and data quality Structured, independent working style and good communication skills Interest in robotics and AI as a research field, and the ability to read and understand scientific publications Full professional proficiency in English Nice to Have Familiarity with the robotics and AI research ecosystem Familiarity with scholarly data sources or publication management tools such as JabRef Experience with text processing or LLM-based data extraction Experience building dashboards or data visualizations Fluent German What we offer A dynamic high-tech company, combined with financial soundness and world-class investors. Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment. Lots of development opportunities as we continue to grow. Challenging tasks and impactful projects alongside experts that enable professional and personal growth. Corporate Benefits Program covering health, mobility, and learning for 100€ net per month. Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment About us Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 3500 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly. This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us! We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability. Find Jobs in Germany on Arbeitnow

Our Company "Buying Labs is the leading global partner for sourcing and distributing premium consumer goods!" We're looking for a Senior Full-Stack Engineer (m/f/d) to join our Tech team at our Hamburg headquarters. Our goal is to supercharge how our business works with AI and technology, wherever it makes a real difference. You'll build the systems our teams rely on every day, from internal applications to the data and AI capabilities behind them, and see the impact of your work directly in the business. This is a role for an experienced engineer who takes real ownership: someone who designs solid systems, builds AI into them where it adds value, and drives their work through to production and real users. Your Mission Own systems end to end: Design, build and run features across frontend and backend, from technical approach through deployment and support in production. Build AI into our products: Design and integrate AI-powered features such as structured extraction, classification, automation and agentic workflows. Make them reliable through validation, evaluation and human review where it matters. Data modelling and architecture: Build solid data models in PostgreSQL that serve as the foundation for our applications and AI features. Make architecture decisions that keep our systems maintainable as they grow. Modern and established codebases: Build new applications on our modern stack, and maintain and modernise our established JavaScript platform, which our teams rely on every day. Quality you can stand behind: Write tested, reviewed code and verify your own work before it reaches users. Monitor and troubleshoot production issues. Work closely with the business: Understand the processes behind what you build, work directly with our commercial and operational teams, and help shape what gets built and why. Raise the bar: Share knowledge, Your Profile 6+ years of professional software engineering experience, with a track record of building and running production applications end to end. Proven experience building AI into production systems or applications, for example LLM-based extraction or classification, RAG, or agentic and tool-use workflows. You know how to make AI output reliable through validation, evaluation and fallbacks. Using AI coding assistants alone does not meet this requirement. You use AI tools in your daily development work and have solid habits for checking and reviewing what they produce. Strong TypeScript and JavaScript, and modern React, including hooks and state management. Strong backend experience with Node.js and Express or a comparable framework, REST APIs, and integrating external systems. Deep PostgreSQL and SQL skills, with solid data modelling and experience with an ORM or query builder such as Knex, Sequelize or Prisma. Comfortable working across both modern TypeScript applications and an established JavaScript codebase. Strong quality mindset: automated testing, code reviews, and taking responsibility for what you ship. High ownership and drive: you push your work through to done, raise problems early, and don't wait to be told what to do next. Clear communication with both technical and non-technical colleagues. Bachelor's degree in Computer Science or a related field, or equivalent experience. Fluent English required; German is a plus. Based in Hamburg or willing to relocate. Nice to Have Depth in LLM tooling: provider APIs (Anthropic, OpenAI, Gemini), agent and tool-use patterns (MCP), and evaluating output quality. Vector search (pgvector or similar). Product or process awareness: experience understanding how a business works and turning messy processes into structured systems. Experience integrating ERPs or operational systems (orders, inventory, master data). Our wider stack: Bun, Vite, Redis, RabbitMQ, Docker, GitHub Actions, AWS. Observability and product analytics tools (e.g. Sentry, Datadog, PostHog). Python for data tooling. Background in eCommerce, wholesale or B2B environments. Why Us? An awesome team & great vibes: Work with motivated colleagues in an agile, ambitious, and friendly atmosphere where collaboration and fun go hand in hand with high speed. Flat hierarchies & real growth opportunities: Take ownership of your role and develop personally alongside the company. We promote from within and value every voice, regardless of seniority or title. Modern workplace & cutting-edge equipment: State-of-the-art office setup including adjustable desks, mobile treadmills, air conditioning, and everything you need to excel in your role. Company pension program (bAV): Smart pension plan with a 30% Buying Labs grant on your contribution, investing in your financial future together. Corporate Benefits membership: Access exclusive discounts from a wide range of partner brands and retailers. Full "Deutschlandticket" coverage: We cover the complete cost (ca. €60/month) so you can travel sustainably and conveniently throughout Germany. Free bike options: Choose between a complimentary "Swapfiets" bike (original or deluxe 7) or opt for JobRad bike-leasing with an additional €26/month grant from Buying Labs. Complimentary food & beverages: Free Friday lunch in the office, plus organic fruit & vegetables, drinks, snacks, coffee/tea, healthy shots and seasonal treats (e.g. ice cream, soups) throughout the week. Personalized workspace setup: €100 welcome voucher to customize and optimize your workspace from day one. Refer-A-Friend (employee referral program): You love being part of Buying Labs? Fantastic! Then recommend people from your personal network and receive attractive rewards. Sounds like a perfect fit? We can't wait to meet you. Apply now and be part of our journey! Find more English Speaking Jobs in Germany on Arbeitnow

Das erwartet Dich Caspar Health connects digital rehabilitation with personal therapeutic care. We help people receive care during and after their clinic stay, wherever they are. We are looking for a Senior Software Engineer to join our Integration Squad. You will develop, roll out, operate and maintain healthcare integrations across Health Level Seven version 2 (HL7 v2), REST application programming interfaces (APIs), Fast Healthcare Interoperability Resources (FHIR) and CSV imports. You will strengthen our backend engineering capacity and help clinic IT teams and software partners connect reliably to Caspar Health. The role covers both existing interfaces and new integrations, from implementation and partner onboarding through production support and ongoing improvement. Hands-on experience implementing and operating FHIR integrations in production is a required qualification. We would like to hear about the production FHIR integrations you have delivered, the systems you connected, the decisions you owned and how you kept the integrations reliable after launch. This role is located in Germany and requires full physical presence within the country . Due to our existing payroll and social security framework, permanent remote employment from abroad is not supported. Candidates must be eligible to work in Germany and resident from their first day. Please be advised that we cannot offer visa sponsorship or relocation assistance at this time. Deine Herausforderungen Develop, roll out, operate and maintain integrations across our interface landscape Take integrations through requirements clarification, data mapping, implementation, partner testing, go-live and ongoing support Maintain and improve existing interfaces, resolve production issues and support changes in clinic and partner systems Build reliable data flows for patient information and therapy schedules Design and maintain backend services and versioned APIs in our Ruby on Rails and TypeScript environment Handle duplicate messages, delayed or out-of-order updates, cancellations and partial failures with clear retry and reconciliation behaviour Extend our developer portal with runnable quickstarts, accurate API references, synthetic examples and troubleshooting guidance Work with clinic IT teams and software partners on tested interface contracts and repeatable onboarding Improve automated contract and end-to-end tests, monitoring and operational runbooks Share maintenance, support and knowledge through pairing, design discussions and code reviews Apply secure authentication, authorisation, tenant isolation and data-handling practices with our infrastructure and privacy specialists Dein Profil Substantial hands-on experience delivering FHIR integrations used in production, including personal responsibility for implementation and troubleshooting after launch Practical knowledge of FHIR resources, profiles, implementation guides, identifiers, terminology bindings, extensions and validation Hands-on production experience with Ruby on Rails, including maintaining and troubleshooting backend APIs and asynchronous integrations. You have practical experience working with AWS infrastructure, including the ability to integrate and manage cloud-based services Experience with healthcare data models, patient and encounter lifecycles, identity matching and appointment changes Strong SQL and PostgreSQL skills, including data modelling, migrations and performance-conscious queries Experience designing secure REST APIs and asynchronous or event-driven integrations Clear documentation and communication with engineers, product colleagues and integration partners A collaborative, pragmatic approach and strong written and spoken English Warum Caspar Health? Remote-first with flexible working hours – office optional in Berlin-Mitte or up to 90 days a year outside of Germany To match this, we support you with a monthly home office allowance and an additional meal subsidy Plenty of time to recharge – with 30 vacation days per year Budget for learning & development, conferences, and coaching – tailored to your potential and growth opportunities High level of ownership and decision-making freedom – no micromanagement. We hire experts who know what they're doing. #MakeAnImpact! Genuine collaboration – no silos, no egos. After all, we're all working toward the same vision. #ValueFocus! Access to all Caspar offerings for mental and physical well-being #HealthyTogether! And yes – all the snacks your heart desires, group sports sessions, a never-empty drinks fridge, and a healthy dose of humor are included too What defines us as a team We live diversity – it's not a marketing slogan, it's part of our everyday reality Feedback isn't a tool – it's part of our culture We believe that technology only makes sense when it truly helps people Our drive is purpose – but our standard is professionalism Find Jobs in Germany on Arbeitnow

tl;dr After 14 years in construction tech, Lea & Jonas are building the AI foundation for the construction industry 6 of Europe's 20 largest construction companies already rely on Kuro, with leading construction enterprises representing over €40bn in combined annual construction volume using the platform every day Construction has some of the most complex, unstructured data you can throw at an LLM. At Kuro, you can tackle some of the hardest problems in applied AI every day Curious about the bigger engineering challenge? Explore the vision and open problems at kuro.build . About us Lea and Jonas scaled two of Europe's leading construction tech companies - Capmo and alcemy - and saw firsthand the challenges holding the industry back. Now they're tackling the root cause: the 50% of construction work still lost to manual data handling. Kuro is building the AI foundation for construction. We're reimagining how construction professionals get work done and make decisions by leveraging AI to augment back-office workflows and make core data accessible. We are not pursuing marginal improvements, but a step change for construction. After one year on the market, leading construction enterprises with a combined annual construction volume of >€40 billion use Kuro every day to automate workflows and make faster, better decisions. Backed by an €10 million seed round, we already process more than 1 million pages every month and expect that volume to grow 10x over the next six months. We are 15 people based in Berlin. You will join a group of technical ex-founders and builders who are ambitious and kind. Learn more: Join Kuro - Berlin What You'll Do Set the technical direction Own the architecture decisions for the platform, from document ingestion to the chat UI Write and review RFCs. The technical roadmap for the next two to three quarters is yours. Make the build-or-buy decisions: which models we use, and which retrieval and orchestration stack we build on. Turn a vague customer request ("show me where the bid deviates from the BoQ") into a scoped plan with the risks named. Raise the bar for the team Mentor engineers: Review their designs and their code. Define the engineering standards. Find what slows the team down, in tooling or in the CI/CD pipeline, and fix it. Interview and hire engineers. You have no direct reports. You change decisions in product and in other teams with a written argument. Build and own end-to-end (AI) features Design and implement new features to solve a specific user problem, such as document versioning or our agentic Chat. From concept to DB schema, to optimizing LLMs, to UI. Own the full development lifecycle of customer-facing features. Manage evaluations and scoring, and perform error analysis on new and shipped AI features. Build the platform that abstracts workflow building Contribute to the workflow harness, decision-trace standard, and eval tooling so a new use case ships in ~1 month Build reusable human review & approval surfaces where trust in AI output is earned Work on the construction ontology & project graph Help model and evolve canonical entities of our customers Contribute to entity resolution across sources: recognizing the same requirement, position, or price across BoQs, contracts, drawings, and bids Build features so answers are evidence-linked and auditable, and decisions flow back into the graph Contribute to scalable data pipelines & integrations Extend our multi-modal ingestion of unstructured documents - PDFs, scans, drawings, and 3D models - orchestrated and cost-efficient at scale Build read/write integrations with customer systems (document management, ERP/AVA), so workflows complete work end-to-end Projects you would be involved in Current & Past projects Project & document versioning guaranteeing data lineage in construction projects German tokenizer for construction-specific search Document pipeline ingesting 10,000s of PDFs per day Native BIM/DWG file support: ingesting and processing 3D models Design the ontology v1 + graph schema: core construction entities, evidence links, and per-customer extension model Build out our workflow harness to run agentic workflows for customers Current Tech Stack It is still day 0 for Kuro. Therefore, we are highly pragmatic with our tool choices. We believe in keeping it simple and moving quickly. You significantly help shape our tech stack decisions. Web-App: Typescript Database / Vector DB and File Storage: AWS RDS / Trubopuffer / AWS S3 Backend: Fastify API + Prisma ORM Workflow Orchestrator: Prefect (Python) Hosting: AWS Elastic Beanstalk AI: Azure / OpenAI, Gemini, Cohere, AWS Obsv., Eval. & Tracking: Langfuse, Datadog Your profile This is the perfect role for an experienced engineer who wants to join an early stage company that builds a high impact applied AI product Bring 6+ years of experience as a Staff (full-stack) software engineer or Technical Lead, in a fast-paced environment Have proven experience delivering production-grade applied AI features to customers Take full ownership of solving customer problems by designing and implementing AI features Thrive in a small, accountable team with a high degree of ownership and a drive to make an impact Communicate fluently in both spoken and written English Enjoy working onsite with the team at our office in Factory Berlin Mitte every day Bonus Points You've started a company before or worked at a very early stage startup You built side projects in the past - we're excited to hear about these! German-speaking (definitely not a must, we're fully international) Why Kuro You'll join at a point when customer demand is proven, but our product and platform are still yours to shape. You'll own customer-facing features end to end while building the foundations beneath them, from ingestion pipelines and workflow infrastructure to our construction ontology and project graph. As Kuro grows, you can grow with it, whether as a leading individual contributor, technical leader or people manager. The Process Talent Acquisition Call – Intro, motivation, logistics & fit (30 min) Impact Interview – Deep dive into your experience, ownership & impact (60 min) On-site Day System Design – Designing under ambiguity & LLM craft (45 min) AI-Native Coding – Hands-on coding with AI (45 min) Final Culture Interview (approx. 60 min) Reference calls Decision Find Jobs in Germany on Arbeitnow

Wil jij bouwen aan betrouwbare dataproducten die door heel Univé worden gebruikt? Binnen het Data & AI Office werk je met Snowflake, dbt, Azure, Git en CI/CD. Je maakt van beschikbare brondata goed gemodelleerde, geteste en beheersbare dataproducten voor analyses, rapportages, self-service en AI-toepassingen. We zoeken een Data Engineer die data engineering combineert met software-engineering. Iemand die verantwoordelijkheid neemt voor wat hij of zij bouwt, nieuwe technologie praktisch inzet en samen met collega's het dataplatform en onze werkwijze verder ontwikkelt. Wie ben jij Jij bent een Data Engineer die technische kwaliteit belangrijk vindt en verantwoordelijkheid neemt voor wat je bouwt. Je zoekt actief naar manieren om ontwikkeling slimmer, beter en beter beheersbaar te maken en gebruikt nieuwe technologie wanneer die aantoonbaar waarde toevoegt. Je schrijft begrijpelijke en onderhoudbare code en automatiseert waar dat helpt. Voor jou is een dataproduct pas klaar wanneer het betrouwbaar, getest, gedocumenteerd en beheersbaar in productie staat. Je werkt graag samen en kunt technische keuzes helder uitleggen. Je deelt kennis, staat open voor feedback en begrijpt dat een goede technische oplossing ook bruikbaar en begrijpelijk moet zijn voor de organisatie. Wat neem je mee? hbo- of wo-werk- en denkniveau, bij voorkeur met een opleiding in Informatica, Data Engineering, Software Engineering of een vergelijkbare richting; meerdere jaren relevante ervaring als Data Engineer, Analytics Engineer, BI Developer of in een vergelijkbare technische datafunctie; sterke kennis van SQL en datamodellering; ervaring met Snowflake en dbt of vergelijkbare cloud- en transformatietechnologie; ervaring met Microsoft Azure of een vergelijkbare cloudomgeving is mooi meegenomen; ervaring met Git, geautomatiseerd testen en CI/CD; kennis van DevOps- en software-engineeringprincipes; ervaring met Python is een pré; ervaring met datakwaliteit, monitoring en documentatie; ervaring met AI-ondersteund ontwikkelen, of de motivatie om dit structureel en kritisch toe te passen; je kunt door AI gegenereerde code kritisch beoordelen op kwaliteit, veiligheid en onderhoudbaarheid; een nieuwsgierige, vernieuwende en resultaatgerichte instelling; sterke communicatieve en samenwerkingsvaardigheden; uitstekende beheersing van de Nederlandse taal, zowel mondeling als schriftelijk. Wat ga je doen Als Data Engineer binnen het Data & AI Office bouw je aan betrouwbare dataproducten op het dataplatform van Univé. De ontsluiting van data uit bronsystemen ligt elders in de dataketen. Jij werkt met de brondata die op het platform beschikbaar is en transformeert en modelleert deze tot dataproducten die klaar zijn voor gebruik. Met dbt, SQL en Snowflake bouw je heldere en herbruikbare datamodellen. Daarbij denk je vanaf het begin na over datakwaliteit, performance, beveiliging, testbaarheid, documentatie en beheer. Je begrijpt waarvoor de data wordt gebruikt en werkt samen met de business en andere dataspecialisten om informatiebehoeften te vertalen naar duurzame oplossingen. AI-ondersteund ontwikkelen is onderdeel van onze engineeringwerkwijze. Je gebruikt moderne AI-ontwikkeltools waar die helpen om bijvoorbeeld code, tests en documentatie sneller en beter te maken. Je beoordeelt de uitkomsten kritisch en blijft zelf verantwoordelijk voor ontwerp, kwaliteit, veiligheid en werking van wat je oplevert. Je werkt samen met data engineers, data scientists, data-analisten, Business Informatie Analisten, architecten en collega's uit de waardestromen. Je draagt bij aan gezamenlijke standaarden en deelt actief kennis over data engineering en nieuwe werkwijzen. Concreet houd je je bezig met: transformeren en modelleren van beschikbare brondata in Snowflake; bouwen en onderhouden van herbruikbare dataproducten met dbt en SQL; ontwerpen van datamodellen die begrijpelijk, performant en geschikt zijn voor hergebruik; automatiseren van datakwaliteitscontroles, tests en deployments; toepassen van software-engineeringprincipes op dataontwikkeling; werken met Git en CI/CD binnen een DevOps-werkwijze; AI-ontwikkeltools inzetten bij onder andere schrijven, testen, reviewen en documenteren van code; monitoren en verbeteren van performance, betrouwbaarheid en beheersbaarheid van dataproducten; vastleggen van definities, lineage en technische documentatie; samenwerken met data scientists en data-analisten aan betrouwbare data voor analyses, modellen en AI-toepassingen; samenwerken met de business om informatiebehoeften te vertalen naar bruikbare dataproducten; meedenken over architectuur, standaarden en de verdere ontwikkeling van het dataplatform; delen van kennis en collega's helpen bij nieuwe technologie en werkwijzen. Je standplaats is Zwolle, maar we werken ook een dag in Assen. We werken hybride, waarbij je gemiddeld de helft van de tijd op kantoor werkt. Wat bieden wij Binnen het Data & AI Office werk je aan een dataplatform dat organisatiebreed wordt gebruikt. Je krijgt ruimte om verantwoordelijkheid te nemen voor dataproducten, nieuwe technieken te onderzoeken en de engineeringwerkwijze verder te verbeteren. Salaris: deze functie is ingedeeld in schaal 9. Het jaarsalaris ligt tussen € 58.352 tot € 82.378 op basis van een 38-urige werkweek, inclusief vakantiegeld en dertiende maand en exclusief variabele beloning; Goede arbeidsvoorwaarden: je ontvangt onder andere vakantiegeld, een dertiende maand, een variabele Collectieve Prestatie Beloning, een goede pensioenvoorziening en een thuiswerk- en reiskostenvergoeding; Modern dataplatform: je werkt onder andere met Snowflake, dbt, Azure, Git en geautomatiseerde CI/CD-pipelines; AI-ondersteund ontwikkelen: je krijgt toegang tot moderne AI-ontwikkeltools en kunt deze structureel inzetten in je dagelijkse werk; Organisatiebrede impact: de dataproducten die jij bouwt, ondersteunen analyses, besluitvorming en AI-toepassingen binnen heel Univé; Ruimte voor innovatie: je krijgt vrijheid om nieuwe technieken, tools en werkwijzen te onderzoeken en te introduceren; Professioneel vakgebied: je werkt samen met data engineers, data scientists, data-analisten, architecten en andere specialisten; Eigenaarschap: je bent betrokken bij de volledige levenscyclus van een dataproduct, van ontwerp en ontwikkeling tot productie, monitoring en verbetering; Ontwikkeling: we investeren in jouw vakinhoudelijke en persoonlijke groei met opleidingen, kennisdeling en ruimte om te experimenteren; Hybride werken: je werkt gemiddeld 50% op kantoor en 50% vanuit huis, inclusief ondersteuning voor je thuiswerkplek; Extra voordelen: korting op je schade- en zorgverzekeringen bij Univé. Wie wij zijn Binnen het Data & AI Office werken we aan de data- en AI-ambitie van heel Univé. We ontwikkelen het centrale datafundament, bouwen betrouwbare dataproducten en zetten data en AI in om besluitvorming, processen en klantbediening te verbeteren. Je komt terecht in een omgeving met data scientists, data engineers, data-analisten, business informatie analisten en andere dataspecialisten. Samen met collega's uit de waardestromen en bedrijfsonderdelen brengen we kennis van data, technologie en de business bij elkaar. We geloven in eigenaarschap, vakmanschap en samenwerking. We experimenteren graag, maar zorgen er ook voor dat succesvolle oplossingen veilig, betrouwbaar en beheersbaar in productie worden genomen. Zo maken we data en AI praktisch toepasbaar voor onze medewerkers en betekenisvol voor onze leden. Overige informatie Enthousiast? Solliciteer dan via de sollicitatiebutton. Wil je eerst meer weten over de functie of de sollicitatieprocedure? Neem dan contact op met recruitment via Een screening maakt onderdeel uit van de sollicitatieprocedure. Een assessment kan onderdeel zijn van de procedure. Omdat we graag rechtstreeks in contact komen met onze toekomstige collega's, houden we de werving en selectie in eigen hand. Acquisitie naar aanleiding van deze vacature wordt niet op prijs gesteld. Find more English Speaking Jobs in Netherlands on Arbeitnow

Who are we? Gain is the Private Markets Super App, a connected global platform transforming how leading investors, advisors, and corporates source, evaluate, and execute deals. By combining investment-grade intelligence, AI-powered workflows, and proprietary data in one unified platform, Gain enables top deal teams to move faster, reduce risk, and build conviction with confidence. Gain is trusted across more than $1 trillion of private capital, used by 100% of MBB and Big Four firms, and by 80% of the world's top 20 M&A advisory houses. Recognized for fast innovation and impact, Gain has been named both US and EU Data Provider of the Year by PE Wire, awarded Global Financial Market Review's Best Use of AI in Finance, and ranked in Sifted's Top 100 Fastest-Growing Companies, the Forbes 1000, and the Deloitte Technology Fast 50. Gain operates globally with offices in New York, London, Amsterdam, Frankfurt, Warsaw, and Bangalore. How we work Predicting what isn't published. Many private companies publish little or no financial detail. Across a database of more than 5 million companies, we predict revenue and EBITDA from sparse labels, and we predict whether and when a company will be bought or sold, which is a time-to-event problem with censored data. Agents on a messy web. Our agents search, navigate and extract company data points from sources that contradict each other, then decide which source to trust before committing to an answer. Quality that holds while everything underneath moves. We're provider-agnostic. Model choices follow the evals, and we switch LLMs when the numbers say so. That only works if the evals are trusted. What will you do? The work is roughly half LLM agents and half custom ML, leaning slightly toward agents. The design of our agent pipelines: architecture, tools, and which model for which task. You'll shape the technical direction with our AI Lead. The evaluation behind agents and models: offline reference sets, live production evals, and the call on whether an improvement is real. Our prediction models for financials and deals: features, validation, retraining, and knowing when a simpler model wins. Getting work into production: trace where pipelines fail and fix the weakest links first, with compute, memory and model cost in view. Raising the bar in the team through design reviews, pairing, and an eval-first habit that sticks. In your first six months you'll own the evals for our agent pipelines, propose where we invest next, and ship measurable improvements to both the agents and the prediction models. Who are you? You've built and owned ML systems in production for years, typically 6+ in ML or software engineering. In the last 1–2 years you've shipped LLM agents or pipelines that real users depend on, not demos. You have modelling judgement. You've dealt with leakage, distribution shift and calibration on real data. You measure before you claim. You can build an evaluation set and tell an honest improvement from a lucky one. You care about the user outcome more than the technique. Ideas without a clear customer benefit don't get built here, however interesting. Nice to have: time-to-event modelling, noisy or conflicting data sources, financial or private-company data. No finance background needed. The team You'll join our Data & AI team of six and report to Renan, our AI Lead who's been building production models for >10 years. Our engineering team runs the infrastructure, and you shape what runs on it. The stack Core: Python (async, fully typed with Pydantic) and FastAPI LLMs: multiple providers behind our own provider-agnostic layer, with Pydantic AI for typed agents. Evals and observability: Pydantic Evals and Logfire Data: PostgreSQL with pgvector Cloud: GCP (Cloud Run, Cloud Tasks), Docker, GitHub Actions What do we offer? Competitive base salary and annual bonus linked to your performance / OKRs Attractive benefits including health & wellbeing allowance, work-from-home budget, learning & coaching benefits, etc. Flexible hybrid working model with 3 days per week in our Amsterdam office Healthy work-life balance allowing for planability and personal commitments Chance to grow with the company gaining increasing responsibilities, supported by lots of coaching and a feedback-driven approach Tremendous learning and career progression opportunities International environment with hubs in New York, London, Amsterdam, Frankfurt, Warsaw, and Bangalore Culture of trust, ownership and standard of excellence and a fun working atmosphere with regular outings and events Post product-market fit and aspiring unicorn status - this is an excellent time to join & grow with us! Does this sound like a perfect match? We are proud of our wonderful product and believe it has lots of potential. We are growing fast and having fun while building our platform and company. Does this sound like a team you would like to become a part of? Click 'Apply' and submit your CV, we are excited to get to know you and show you what we do! Gain.AI B.V., with its registered seat in Apollolaan 151, 1077 AR Amsterdam, The Netherlands, or another Gain.AI or Gain.pro entity which runs the recruitment process, further called "Gain", is the controller of personal data you submit as part of the job application. Your personal data will be processed for the purpose of conducting a recruitment process for the job position you apply for. If you provide Gain with explicit consent, your personal data will also be processed for the purpose of conducting future recruitment processes. Please read the Gain Privacy Policy to acquaint yourself with how Gain processes your personal data: https://www.gain.ai/privacy-and-cookie-statement. Gain is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, veteran status, or any other legally protected characteristics. Find more English Speaking Jobs in Netherlands on Arbeitnow

About the role Every customer's path through DataSnipper, from first sign-up to first agent run to renewal, runs on systems your team owns. We are hiring an Engineering Manager in our Amsterdam office to lead Billing & Monetization : how customers get in, what they are entitled to, and how AI usage turns into revenue. Why DataSnipper? The hardest AI problems aren't about getting an answer fast. They're about getting one people can trust. We believe trust is essential to how society works. Every day, we rely on information that's been independently verified, from financial statements to the products we buy, to the sustainability claims companies make. Behind that trust are audit and finance professionals who examine evidence, verify information and hold organizations accountable. At DataSnipper, we build AI solutions that empowers those professionals. By making evidence easier to trace and verify, we help them focus on the judgment and expertise that make their work so important. For our product and engineering team, this is where things get exciting. In audit, a plausible answer isn't good enough. Every output must be explainable and traceable back to its source. We've just launched a brand-new agentic platform, Alwin by DataSnipper. AI agents running in the cloud across hundreds of documents at once, reasoning across PDF, Word and Excel, with a full audit trail behind every step. There are lots of greenfield problems ahead, and real room to shape what we build and how we build it. And we build at scale. More than 600,000 professionals across 3,000+ organizations in 175 countries rely on DataSnipper, including Fortune 500 companies, government agencies and all Big Four audit firms. In 2025 alone, the DataSnipper platform delivered more than $1.4 billion in productivity savings to is customers. Backed by a $100 million Series B led by Index Ventures, at a $1 billion valuation, and as proud members of 1% for the Planet, we care about how we grow, not just how fast. If you want to build AI that professionals trust with work that really matters, this is your chance to help shape the future of audit and finance and do the best work of your career along the way. The Scope Onboarding & offboarding : sign-up, trials, tenant and workspace provisioning, and the first-run experience. Getting a new firm from contract to value, fast. Licensing & entitlements : seats, plans, feature access and limits across the Excel add-in and Alwin, for self-serve users and global enterprise contracts alike. Metering & billing : real-time usage and credit consumption for our agentic products, through to invoicing, payments and revenue reporting. What You Will Do Lead through outcomes, not tasks. Set clear goals and trust the team to find the how. Make the team measurably better. Raise the bar, grow engineers into bigger problems, and address performance directly. Own the technical direction of the full customer lifecycle platform, and stay close enough to the code to make the hard calls credibly. Build systems where correctness is non-negotiable: accurate metering, enforced entitlements, reliable billing, all observable, secure and auditable. Treat onboarding as a product. Measure activation and time-to-value, and remove friction with Product and Design. Continuously improve on the admin experience to delight and empower our internal users. Turn commercial strategy into software. Partner with Product, Finance, Sales and Customer Success to shape pricing, packaging and licensing models. Set the bar for AI-assisted engineering. Not just shipping faster, but taking on harder problems, and shaping how DataSnipper engineering uses AI. Grow the scope. Expand ownership and stand up new teams as the area grows. What You Bring 3+ years leading engineering teams, on top of 5+ years as a software engineer An empowerment style of leadership and a track record of building high-performing teams Experience building billing, licensing, entitlement or onboarding systems at scale, ideally usage- or credit-based Strong fundamentals in software architecture, distributed systems, APIs and cloud-native development Experience running production systems where financial correctness matters Strong product aptitude: you challenge framing, make roadmap trade-offs, and care about activation and conversion as much as uptime Hands-on fluency with AI coding tools and agentic harnesses, and a team that is measurably better for using them A strategic, entrepreneurial mindset: you shape direction, not just execute it Nice to Have Usage-, metered- or credit-based billing in production, including AI token metering and cost attribution Billing and payment platforms (e.g. Stripe), CRM and ERP integrations Identity and provisioning: SSO, SCIM, multi-tenant account models Product-led growth: self-serve sign-up, trials, in-product upgrades Financial correctness: idempotency, reconciliation, auditability, revenue recognition Python, Azure and observability tooling Scale-up experience, ideally in fintech or audit tech What We Offer Be part of one of the fastest-growing, profitable unicorn scale-ups in the Netherlands with a global impact. Equity (Stock Appreciation Rights) to share in the company's success and growth. Pension plan with a 6% contribution on top of your base salary. 28 vacation days per year (full-time) to support your work-life balance. Hybrid work model with at least 3 days onsite in our dynamic Amsterdam office. Daily, freshly prepared lunches by our in-house chef to keep you energised. NS business card for easy commuting to the office. A structured onboarding programme designed to set you up for success, including dedicated time to learn our product and customers before you hit the ground running. Access to continuous learning and development initiatives to grow your skills. Engage with a vibrant international team spread across seven global offices. Company-wide events like DataSnipper GO, where global teams come together. Access to OpenUp, a mental health and wellness platform supporting your wellbeing. Recruitment Process Recruiter Screen (30 minutes, online) Hiring Manager Interview (30 minutes, online) System Design Discussion (1 hour, on-site) Product Insight Conversation (45 min, online) Final Interview (30 minutes, online) At DataSnipper, we believe great ideas come from different perspectives, experiences, and backgrounds. We are committed to building an inclusive workplace and providing every candidate with a fair and equitable hiring experience. Our hiring decisions are merit based and grounded in the skills, experience, potential, and capabilities relevant to the role. We welcome applicants regardless of age, race, ethnicity, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or any other characteristic that makes you, you. What matters to us is what you can bring to the role, the team, and DataSnipper. Find Jobs in Netherlands on Arbeitnow