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Location: Global Workplace: Remote ABOUT THE ROLE Aptura is looking for Subject Matter Experts from sell-side or buy-side equity research, covering any sector, who build initiating coverage models, earnings models and data packs in Excel. You have used AI tools on your own work and been frustrated by the mistakes they make. You will turn that experience into realistic Excel tasks that test how well AI does the modelling work of a Research Associate. RESPONSIBILITIES - Writing realistic Excel tasks drawn from your own work: extending existing models, fixing broken ones and building from a brief - Working through each task yourself so there is a clear, correct answer - Writing yes-or-no criteria precise enough that a grader can mark any attempt against them NECESSARY QUALIFICATIONS - 3+ years in sell-side or buy-side equity research, covering a defined sector or universe of stocks (e.g. TMT, Healthcare, Financials, Energy, Consumer, Industrials) - Deep hands-on Excel: earnings extraction and prediction, calendarisation, SOTP valuation, data packs and nested formulas - Strong written English communication skills. - Attention to detail, and willingness to learn concepts in AI and Evals ADDITIONAL INFORMATION - Start Date : Immediate - Duration: Approximately 4–6 weeks - Payment: task-based. Experts who complete their first task within the required timeline will then be qualified to do multiple tasks for the remainder of the project. CONTRACT AND PAYMENT TERMS - You will be engaged as an independent contractor. - This is a fully remote role that can be completed on your own schedule. - Projects can be extended, shortened, or concluded early depending on needs and performance. - Your work at Aptura will not involve access to confidential or proprietary information from any employer, client, or institution. - Payments will be weekly following task completion. GETTING STARTED - Apply with your details and CV. Choose an available 30-minute group walkthrough call. - Attend the walkthrough and create one original task from your own work. Submit the brief, the actual input workbook(s) needed to complete it. Input-file uploads are compulsory. - Write the brief yourself. Input workbooks must also be human-built. Use real data that has been sanitised, or public data with the source named. No AI usage allowed. - We run your task against current frontier AI models. If the models get it wrong, you then write a detailed yes-or-no rubric, and a reviewer signs off on the task with you. - Completing onboarding does not guarantee a job offer; selection remains subject to written approval of the task proposal. ABOUT APTURA Aptura is an applied AI and data company working with frontier labs to train AI systems on real professional work. We do this by building high-quality evaluation and training environments that teach AI agents to produce work that can be used in daily workflows.

Location: Amsterdam Workplace: Hybrid Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. Your impact As a Solutions Engineer I in the Connect team, you'll support the partners who bring processing volume to Mollie, think SaaS platforms and marketplaces. Your core activities are discovery, solution design, and implementation support for partner deals, the work that turns a promising conversation into a working integration. Beyond the deal itself, you'll join forecasting meetings with the Connect leadership team to give an honest, objective view of technical deal health, and you'll have regular one-on-ones with the partner acquisition managers you support to align on deal details and next steps. You'll also support events and pitches for the commercial team and contribute to process improvement and internal product feedback, so the lessons from one deal make the next one easier. Solutions Engineers are the bridge between technical and commercial teams at Mollie. Strong discovery means partners get solutions that actually fit, pricing negotiations become smoother, and partner needs and product issues make their way back into the business. That's a direct line to how Mollie expands into new products and partner segments. What you'll ship - Lead technical discovery sessions to deeply understand and map complex merchant requirements. - Design and present tailored payment solutions, clearly mapping Mollie’s APIs and products to specific business needs. - Build and deliver custom demos, proof-of-concepts (POCs), and technical workshops that prove our value. - Act as the technical expert in the room, partnering with Account Executives to overcome objections and close strategic deals. - Collaborate directly with Product and Engineering teams, channeling critical merchant feedback to help shape our product roadmap. What you'll bring - 2 to 3+ years of experience in a customer-facing, technical role. - Customer-facing experience with a technical product, such as pre-sales, solutions engineering, sales engineering, or technical customer success - Comfortable working with APIs, with the ability to demo and build solutions on top of them - Strong discovery skills: understanding what a partner needs and judging what's feasible with the product - Ability to explain a complex product, including payment methods, sub-products, and the Connect proposition, to both technical and commercial audiences - Experience working with both internal and external senior executives stakeholders - A technically curious, commercially minded, and customer-minded approach, with clear rules of engagement, comfortable saying no and pushing back when needed Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below. Want a peek behind the scenes? Check out what life at Mollie is really like. AI at Mollie We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Please note: This role will require occasional travel to San Francisco. The role Nebius is looking for a Communications Designer, Developer Experience to be a part of the Design team and embedded with DevRel. At Nebius, we believe builders decide which platforms win. AI engineers, agent builders, ML engineers and inference teams choose what to build on long before it becomes a procurement decision — and we want to earn that choice early, while they're still picking their models, inference and tooling. This role is about making Nebius the brand those builders recognize, respect, and share. You’re welcome to work remotely in the United States. Your responsibilities will include: Building and evolving the visual language for everything developer-facing — one system that holds together across the dev.nebius.com , AI Builder Program, social, events, swag, and developer community. Designing for where builders actually are — meetups, hackathons, conference presence, event environments, and swag that developers actually want to wear and keep. Designing web pages, developer program materials, campaign visuals, and social content for a technical audience. Making technical content look as good as it is: benchmarks, GPU specs, pricing, architecture diagrams — turning dense material into visuals people actually want to read and share. Creating AI-templates and guidelines so the DevRel team can produce on-brand materials at speed without a designer in every loop. Working in the open with DevRel and content: quick concepts, tight iterations, ship-learn-repeat. We expect you to have: A portfolio of marketing that developers actually respect — launch pages, developer program sites, campaigns, event visuals, technical content. Engineers can smell fluff; you don't produce it. You understand the audience: AI builders, ML engineers, DevOps, inference and platform teams, developers moving into AI. You know what catches their attention, what they ignore, and what makes them share something with a colleague. You study the brands developers love — and can explain why their marketing lands with a technical audience, bringing that thinking into your own work. Experience designing for physical spaces and events: booths, signage, environments, printed materials, swag — you understand print technologies, materials, and production constraints, and can take a design from concept to fabrication. System-first mindset: a visual language that scales across surfaces, not a collection of one-offs. AI-proficiency: up-to-date knowledge of AI tools and a strong critical eye for results — from a design expert's perspective, not an average user's. Strong layout, composition, and information design skills: typography, grids, visual hierarchy, and the craft to keep dense technical material clear. Ability to articulate and defend design decisions, incorporate feedback, and iterate quickly. Excitement about defining what an AI cloud brand looks like for the people building on it. #LI-LT1 Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $150,000 — $187,500 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London Workplace: Hybrid ABOUT NIANTIC SPATIAL We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. 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.

Location: Toronto, ON; Austin, TX Workplace: Hybrid 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As part of the Go To Market (GTM) Performance & Strategy team, you’ll turn company, product, market, and GTM priorities into clear narratives and high-impact communications for a global customer-facing organization. You’ll own core communications channels and key live experiences—including monthly all-hands, Sales Kickoff (SKO) programming, and new hire onboarding—helping teams understand what matters, why it matters, and how to act. Your work will support 1Password’s mission to enable a safer, simpler digital future by strengthening clarity, alignment, and execution across the business. Reporting into the Sr Dir, Sales Performance & Strategy, this hybrid role is based in Austin, TX or Toronto, ON. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. Expectations of this role This is a hybrid role. You will be expected to work from 1Password's Toronto or Austin office 3 days per week, with the flexibility to work from the office up to 5 days based on business needs. Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: - Required: 8+ years of experience in Go To Market (GTM) communications, executive communications, sales or revenue enablement, strategic communications, or a related field. - Exceptional writing, storytelling, and communication skills, with the ability to translate complex business and product strategies into clear, compelling narratives. - Experience partnering directly with senior executives on high-impact presentations, talking points, and organization-wide communications. - Experience leading communications and programming for large-scale GTM forums such as Sales Kickoff, new hire onboarding, leadership meetings, or similar events. - Strong understanding of Business-to-Business Software as a Service (B2B SaaS) organizations, including how partners, resellers, distributors, and service providers contribute to a go-to-market motion. - Strong facilitation and presentation skills, including experience preparing and coaching senior presenters. Bonus points for: - Experience partnering with Product Management and Product Marketing to translate product strategy and positioning for customer-facing audiences, along with strong editorial judgment and operational rigor. What you can expect: - Own the strategy, narrative, editorial rhythm, and delivery of core GTM communications channels in partnership with GTM leadership. - Translate company, product, market, channel, and GTM priorities into relevant communications tailored to different audiences. - Lead monthly global GTM all-hands, including agenda and narrative development, content curation, presenter preparation, presentation development, and facilitation. - Own the weekly GTM newsletter and short-form video update, synthesizing inputs, supporting message development, and maintaining a clear communications archive. - Partner with executive and cross-functional leaders—including Product Management, Product Marketing, Channel, and Workplace Experience—to develop high-impact messaging. - Lead the GTM communications and role-based breakout experience for Sales Kickoff, including session design, materials, presenter preparation, rehearsals, and speaker coaching. - Own the GTM curriculum and facilitation for live new hire onboarding, using participant feedback and changing priorities to improve the experience over time. USA-based roles only: The annual base salary for this role is between $162,000 USD and $235,000 USD. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $155,000 CAD and $225,000 CAD. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Paris, France About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. À propos du poste En tant que responsable de deuxième niveau de l’équipe Applied AI Industries pour l’Europe du Sud et le Moyen-Orient chez Anthropic, vous stimulerez l’adoption de l’IA de pointe en partenariat avec le reste de l’organisation commerciale (go-to-market). Nos clients Industries en France, dans la péninsule Ibérique et en Italie comptent parmi les plus grandes entreprises de la région, dans les services financiers, la santé et les sciences de la vie, l’industrie manufacturière, les télécommunications, la distribution, l’énergie et d’autres secteurs. Vous vous appuierez sur votre expérience de la création et du management d’équipes d’avant-vente technique pour favoriser une transformation positive par l’IA, qui réponde aux besoins métier de nos clients et à leurs exigences techniques et réglementaires, tout en offrant un haut niveau de fiabilité et de sécurité. Vous dirigerez et développerez l’équipe d’architectes de solutions qui travaille avec les account executives pour aider les entreprises à adopter et à déployer les produits d’Anthropic, notamment Claude Cowork, Claude Code et la Claude Development Platform (notre API). Vous mettrez à profit vos compétences techniques et votre expérience de la vente consultative pour recruter d’excellents managers de premier niveau et contributeurs individuels, mettre en place les processus nécessaires au passage à l’échelle de votre équipe et représenter directement Anthropic lors d’échanges stratégiques avec les clients. Votre équipe couvrant simultanément plusieurs pays et secteurs, il vous reviendra d’aborder de manière stratégique les comptes complexes et d’identifier et de déployer des solutions adaptées à chaque marché, avec sa langue, sa culture d’entreprise et son contexte réglementaire. Responsabilités Recruter, manager et accompagner une équipe de managers de premier niveau qui constitueront à leur tour des équipes d’Applied AI Architects avant-vente en France, dans la péninsule Ibérique et en Italie. Définir les objectifs de votre équipe en collaboration avec la direction commerciale et établir les attentes de base en matière de performance. Jouer le rôle de sponsor technique et exécutif auprès de clients stratégiques à forte valeur dans la région, et les conseiller sur leur stratégie globale d’adoption de l’IA, le cadrage de leurs cas d’usage et la conduite de leurs projets pilotes. Collaborer étroitement avec la direction commerciale Europe du Sud (qui couvre également le Moyen-Orient et l’Afrique) pour élaborer des stratégies pour les comptes complexes et identifier de nouveaux moyens de stimuler l’adoption des produits d’Anthropic, par secteur ou par cas d’usage transverse. Aider les clients à répondre aux exigences réglementaires locales et européennes (par exemple le règlement européen sur l’IA, le RGPD, DORA et les attentes en matière de résidence des données), et adapter l’approche de votre équipe à la culture d’entreprise de chaque marché. Travailler avec des équipes transverses, comme le produit et l’ingénierie, pour qu’Anthropic priorise les retours clients ou lève les obstacles à l’adoption dans la région. Vous déplacer régulièrement en Europe du Sud, chez des clients ou lors de conférences, pour des sessions avec des dirigeants, des ateliers techniques et le développement de relations. Établir une vision commune pour la création de solutions favorisant une IA bénéfique et sûre dans les produits technologiques. Contribuer au leadership d’opinion par des interventions en conférence, des webinaires et la création de contenus techniques. Suivre les tendances émergentes de l’IA et l’évolution du paysage concurrentiel. Ce poste pourrait vous correspondre si vous: Justifiez de plus de 7 ans d’expérience en management d’équipes d’avant-vente technique, dont une expérience de management de deuxième niveau ou supérieur (management de managers). Avez vendu des produits techniques complexes à de grandes entreprises en France, dans la péninsule Ibérique, en Italie, au Moyen-Orient et en Afrique. Avez travaillé dans plusieurs secteurs, tels que les services financiers, la santé et les sciences de la vie, l’industrie manufacturière, les télécommunications, la distribution et l’énergie. Comprenez les différences culturelles entre les marchés d’Europe du Sud et le contexte réglementaire de vos clients, et adaptez votre approche à chacun. Abordez de manière très stratégique les comptes complexes et savez traduire cette réflexion en plans que votre équipe et vos homologues commerciaux peuvent exécuter. Possédez une solide maîtrise technique des cas d’usage de l’IA en entreprise, des intégrations d’API et des déploiements de LLM. Excellez dans la création et le développement rapide d’équipes et de processus au sein d’environnements ambigus et en évolution rapide. Disposez d’excellentes capacités de communication, de collaboration et de coaching. Faites preuve d’une forte présence auprès des dirigeants et savez nouer des relations approfondies avec les responsables métier et techniques des plus grandes entreprises de la région. Connaissez au moins dans les grandes lignes l’architecture et le fonctionnement des LLM. Êtes passionné(e) par l’idée de rendre les technologies puissantes sûres et bénéfiques pour la société. Restez informé(e) en vous intéressant activement à la recherche émergente et aux tendances du secteur de l’IA. Les candidatures les plus solides pourront présenter: Une expérience de direction de l’avant-vente en entreprise à grande échelle : plus de 5 ans à la tête d’équipes d’architectes de solutions en hypercroissance (idéalement plusieurs dizaines de personnes dans plusieurs pays), avec une expérience directe du management de managers et du développement des talents dans des environnements complexes de vente de logiciels aux grandes entreprises. Une ouverture multilingue et multiculturelle : en plus de l’anglais, la maîtrise courante d’une ou de plusieurs des langues suivantes : français, italien, espagnol ou portugais, ainsi qu’une expérience du management d’équipes réparties dans plusieurs pays. Une expérience des modèles économiques à la consommation : idéalement, vous avez conçu des cadres go-to-market fondés sur la consommation, et pas uniquement sur des licences SaaS. About the Role: As the 2nd-line leader for the Applied AI Industries team in Southern Europe and the Middle-East at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. Our Industries customers in France, Iberia and Italy include many of the region's largest enterprises across financial services, healthcare and life sciences, manufacturing, telecom, retail, energy, and other sectors. You'll leverage your experience building and leading technical sales teams to drive positive AI transformation that addresses our customers' business needs, meets their technical and regulatory requirements, and provides a high degree of reliability and safety. You will be responsible for leading and growing the solutions architect team that partners with account executives to help companies adopt and deploy Anthropic's products, including Claude Cowork, Claude Code, and the Claude Development Platform (our API). This will include leveraging your technical skills and consultative sales experience to hire great 1st line managers and individual contributors, establish processes to scale your team, and represent Anthropic directly at strategic customer engagements. Your team covers several countries and industries at once, so you will be responsible for thinking strategically about complex industry accounts and for identifying and rolling out solutions that resonate in each market, with its own language, business culture, and regulatory context. Responsibilities: Hire, manage, and guide a team of 1st line managers who will in turn build teams of pre-sales Applied AI Architects across France, Iberia and Italy. Set goals for your team in collaboration with sales leadership and establish baseline expectations for performance across your team. Act as a technical and executive sponsor for high-value strategic customers in the region and advise them on their overall AI adoption strategies or use case scoping and pilot execution. Partner closely with Southern Europe sales leadership (also covering the Middle-East and Africa) to build strategies for complex industry accounts and identify new ways to drive adoption of Anthropic products within specific verticals or horizontal use cases. Help customers navigate local and European regulatory requirements (for example the EU AI Act, GDPR, DORA, and data residency expectations) and adapt how your team engages to the business culture of each market. Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption in the region. Travel regularly across Southern Europe to customers or conferences for executive-level sessions, technical workshops, and relationship building. Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. Contribute to thought leadership through conference presentations, webinars, and technical content creation. Stay current with emerging AI trends and the competitive landscape. You may be a good fit if you: 7+ years of technical pre-sales management experience, including 2nd-line leadership or above (leading managers). Have sold complex technical products to large enterprises in France, Iberia, Italy, the Middle-East and Africa. Have worked across multiple industries, such as financial services, healthcare and life sciences, manufacturing, telecom, retail, and energy. Understand the cultural differences between Southern European markets and the regulatory context your customers operate in, and adapt your approach to each. Think highly strategically about complex industry accounts, and turn that thinking into plans your team and sales counterparts can execute. Have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments. Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. Have excellent communication, collaboration, and coaching abilities. Strong executive presence and ability to foster deep relationships with business and technical leaders at the region's largest companies. Have at least a high level familiarity with the architecture and operation of LLMs. Have a passion for making powerful technology safe and societally beneficial. Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have: Enterprise pre-sales leadership at scale: 5+ years leading solution architect teams through hypergrowth (ideally dozens of people across several countries), with direct experience leading managers and developing talent in complex enterprise software sales environments. Multilingual and multicultural range: In addition to English, fluency in one or more of French, Italian, Spanish or Portuguese, and experience leading teams distributed across several countries. Experience with consumption business models: Ideal candidates have built GTM frameworks anchored on consumption, not just SaaS-based licenses. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €265.000 — €310.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris 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 This is a chance to build the frontier LLM evals that shape the next generations of flagship models. Could a model design a computer chip, or find the backdoor an attacker left in a network? Public benchmarks can't tell us, as they're generally not a good measure of real work. As an Evaluation Engineer, you'll own evals from start to finish. You'll run workshops with customers, industry experts and our customer-facing teams to understand their most important industry use cases (e.g., an engineer updating a part in CAD software), and help decide which are worth building first. You'll also look beyond today's use cases and design moonshot evals for work no model can do yet, so Mistral gets there first. Then you'll turn each one into a benchmark, often one where an agent has to do the work inside real software. You'll source the data, decide how to score it, and run it on every new Mistral model and on competitor models. When our models fall short, you'll work with the post-training teams to close the gap. When they catch up, you'll make the eval harder. You'll write up and present your results so senior leaders can act on them. They also give our go-to-market teams evidence of where Mistral leads. You'll learn new fields quickly. One month you might be learning how chip designers check their work, and the next how a bank investigates a flagged payment. The team is new and fast-paced, and you'll have a lot of autonomy. You'll spend a lot of time speaking with people across Mistral to work out what matters most, then decide what to build. WHAT YOU WILL DO - Run discovery with customers, industry experts and teams across Mistral, then help decide which use cases are worth building first. - Design new benchmarks for industry use cases and frontier capabilities, including how they're scored. - Build evals where agents work inside real software (e.g., CAD and simulation tools), and run them on our models with checks that the results stay reliable over time. - Stress-test existing evals to find flaws and bugs before we rely on them. - Source data with expert vendors. Where customer data can't leave the customer, build realistic proxy or synthetic data instead. - Write up and present what you find so leaders across Mistral can act on it. - Help other teams build their own evals, with tools and guides they can reuse. WHAT WE'RE LOOKING FOR EXPERIENCE - 2+ years of industry experience (e.g., in software, AI, or consulting), or a PhD. - A software engineering or research background, with experience writing code that others can build on. - Experience working directly with customers, industry experts, or other teams (e.g., through consulting, solutions engineering, or research collaborations). - Experience building something with LLMs. - Comfort working with large datasets, including building and cleaning them. TECHNICAL - Strong Python skills. - Comfortable working in a large, shared codebase and getting your code through reviews by other teams. - A strong understanding of LLM training, inference, and evaluation. COMMUNICATION - You enjoy speaking with people and are good at it. - You write clearly. A short doc or deck from you is enough for a busy leader to make a decision. - Confident presenting to both technical and non-technical audiences. - Fluent in English. HOW YOU WORK - High energy, and you don't need a roadmap. You move independently and handle uncertainty with confidence. - Proactive and high-agency. You spot what needs doing and get it done. - You make good decisions about what to build first and can explain why. - Low-ego, collaborative, and eager to learn. - Curious, with a track record of learning things outside your work or studies. You can get to grips with a new field in a few weeks. NICE TO HAVE - Experience building AI evaluations, especially for industry applications. - Published research on evals or contributions to open-source evaluation frameworks. - Experience building datasets, generating synthetic data, developing labelling guidelines, or working with annotation vendors. - A background in an industry outside software (e.g., engineering, finance, or science). 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity Application Core Services (AppCore) is a group within Platform, in the Foundations department. We build and operate systems that support Grafana’s business operations and customer experience, working closely with product teams and internal business partners. The Usage squad works on billing, rates, usage calculations, usage visibility and cloud marketplace integrations. Our software helps customers understand their consumption and costs, and helps internal teams operate accurate, reliable billing processes. We are looking for a Staff Fullstack Engineer with strong backend experience who enjoys making complex business systems reliable, understandable and easier to operate. You will help deliver new capabilities while improving existing services, reducing repetitive manual work and addressing edge cases that affect customers and internal stakeholders. This is a hands-on Staff engineering role within the AppCore Usage squad. You will lead complex technical work, contribute directly to implementation and share ownership with the squad’s other Staff and Senior engineers. Your primary focus will be Usage’s systems and outcomes, collaborating with adjacent teams when the work requires it. Our ownership includes application code, data stores, deployment configuration and the cloud infrastructure supporting our services. You should be comfortable following a problem across those boundaries and making improvements with the appropriate platform teams. We are remote-first and global. For this role, we prefer candidates in NASA’s Eastern Time zone to provide more overlap with our EMEA colleagues. What You’ll Be Doing Your initial focus will be approximately 75% backend and 25% frontend. This balance will evolve with the squad’s priorities. You should be comfortable delivering across the stack, from business logic and APIs through to the interfaces customers and internal teams use. Design, build and operate backend services and APIs supporting billing, rates, usage calculations, usage visibility and marketplace workflows. Build and maintain backend services primarily in Go, with Node.js also present in our stack, and contribute to TypeScript/React applications to deliver complete features. Improve the correctness and reliability of billing and usage workflows, including validation, reconciliation, error handling and recovery. Identify recurring manual tasks and replace them with maintainable automation, clear operational workflows and appropriate controls. Maintain and evolve the infrastructure supporting our services, including Kubernetes workloads, scheduled jobs, cloud resources and deployment configuration. Use infrastructure as code and automated delivery pipelines to make changes repeatable, reviewable and safe across environments. Investigate production issues across application code, databases and infrastructure, including resource exhaustion, failed jobs, slow queries and replication delays. Plan and execute service deployments, database changes and infrastructure migrations, including validation, monitoring and recovery plans. Build and maintain integrations with cloud marketplaces and external business systems where required by the squad’s work. Deliver projects from understanding requirements and proposing an approach through implementation, testing, rollout and production support. Make changes traceable and testable, supporting audit requirements and clear explanations of system behaviour. Collaborate with product management, Support, DealOps, GTM, infrastructure teams and adjacent AppCore squads to clarify requirements and resolve dependencies. Share technical leadership through design discussions, code reviews, mentoring and practical improvements. Participate in the squad’s on-call rotation after onboarding. Improve dashboards, alert quality, runbooks and recovery procedures, and follow through on incident findings. What Makes You a Great Fit You enjoy engineering work where correctness, reliability and business impact matter. You find value in improving an established system, removing a recurring operational problem or making a billing workflow easier to understand and support. You take ownership from understanding the problem through delivery and production support. You can turn an ambiguous request into manageable increments, make sound trade-offs and follow through without needing each step prescribed. You ask useful questions, seek feedback and raise uncertainty or blockers early. You adapt as priorities change, learn unfamiliar systems and technologies, and contribute where the squad needs you. You bring a strong backend specialty while remaining willing and able to work on frontend features and supporting infrastructure. You reason about how a service behaves in production: how it is deployed, where its data lives, what happens when dependencies fail, and how the team detects and recovers from problems. You communicate clearly in writing and in conversation. In a distributed team, you make decisions, progress and risks visible so colleagues can contribute across time zones. You work independently while staying connected to the squad. As a Staff engineer, you bring technical depth and sound judgment while remaining close to implementation. You collaborate constructively with other experienced engineers, welcome different perspectives and help the squad reach decisions and move forward. We embrace thoughtful use of AI-assisted development. We value engineers who use these tools to support exploration, implementation, testing and documentation while taking responsibility for the quality and correctness of the result. Requirements Substantial experience designing, delivering and operating production backend systems, with the depth and judgment to lead complex work hands-on. Strong experience building and operating production backend systems in Go, our primary backend language. Professional experience contributing to frontend applications using TypeScript and React, or comparable technologies, and willingness to work across the stack as priorities change. Experience reasoning about distributed systems, including partial failures, retries, consistency and interactions between services. Experience with relational databases, including data modelling, schema migrations, query performance and safe production changes. Practical experience deploying and troubleshooting containerised services and jobs in Kubernetes. Experience managing cloud infrastructure through code and working with CI/CD pipelines, environment configuration and controlled rollouts. Ability to investigate production problems using logs, metrics and traces, and turn findings into lasting improvements. A record of delivering projects end to end, clarifying requirements, making trade-offs and following through after release. Experience working remotely, with clear asynchronous communication and dependable collaboration across time zones. Ability to learn unfamiliar domains and technologies, adjust your approach as new information emerges, and take ownership beyond your main area of expertise. Experience writing readable, well-tested software that other engineers can understand, maintain and operate. Willingness to participate in on-call and take responsibility for the production behaviour of the systems you build. Experience supporting colleagues through code reviews, mentoring and constructive technical discussions. Bonus Points For Usage metering, billing engines, pricing and rates, financial reconciliation or customer-facing cost management applications. Reducing operational toil and automating workflows with recurring exceptions or manual interventions. Systems with auditability, traceability or financial-control requirements. MySQL operations, replication, database upgrades and performance tuning. Terraform, Jsonnet and Kubernetes deployment configuration. Argo Workflows or comparable deployment and job-orchestration tooling. Cloud infrastructure involving managed databases, object storage, service accounts and access controls, particularly on GCP. Data synchronisation pipelines and BigQuery integrations. Cloud marketplace integrations across AWS, Azure or GCP. Integrations with business platforms such as NetSuite or Salesforce. Observability tools such as Grafana, Prometheus, Loki or OpenTelemetry. In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity Application Core Services (AppCore) is a group within Platform, in the Foundations department. We build and operate systems that support Grafana’s business operations and customer experience, working closely with product teams and internal business partners. The Usage squad works on billing, rates, usage calculations, usage visibility and cloud marketplace integrations. Our software helps customers understand their consumption and costs, and helps internal teams operate accurate, reliable billing processes. We are looking for a Staff Fullstack Engineer with strong backend experience who enjoys making complex business systems reliable, understandable and easier to operate. You will help deliver new capabilities while improving existing services, reducing repetitive manual work and addressing edge cases that affect customers and internal stakeholders. This is a hands-on Staff engineering role within the AppCore Usage squad. You will lead complex technical work, contribute directly to implementation and share ownership with the squad’s other Staff and Senior engineers. Your primary focus will be Usage’s systems and outcomes, collaborating with adjacent teams when the work requires it. Our ownership includes application code, data stores, deployment configuration and the cloud infrastructure supporting our services. You should be comfortable following a problem across those boundaries and making improvements with the appropriate platform teams. We are remote-first and global. For this role, we prefer candidates in NASA’s Eastern Time zone to provide more overlap with our EMEA colleagues. What You’ll Be Doing Your initial focus will be approximately 75% backend and 25% frontend. This balance will evolve with the squad’s priorities. You should be comfortable delivering across the stack, from business logic and APIs through to the interfaces customers and internal teams use. Design, build and operate backend services and APIs supporting billing, rates, usage calculations, usage visibility and marketplace workflows. Build and maintain backend services primarily in Go, with Node.js also present in our stack, and contribute to TypeScript/React applications to deliver complete features. Improve the correctness and reliability of billing and usage workflows, including validation, reconciliation, error handling and recovery. Identify recurring manual tasks and replace them with maintainable automation, clear operational workflows and appropriate controls. Maintain and evolve the infrastructure supporting our services, including Kubernetes workloads, scheduled jobs, cloud resources and deployment configuration. Use infrastructure as code and automated delivery pipelines to make changes repeatable, reviewable and safe across environments. Investigate production issues across application code, databases and infrastructure, including resource exhaustion, failed jobs, slow queries and replication delays. Plan and execute service deployments, database changes and infrastructure migrations, including validation, monitoring and recovery plans. Build and maintain integrations with cloud marketplaces and external business systems where required by the squad’s work. Deliver projects from understanding requirements and proposing an approach through implementation, testing, rollout and production support. Make changes traceable and testable, supporting audit requirements and clear explanations of system behaviour. Collaborate with product management, Support, DealOps, GTM, infrastructure teams and adjacent AppCore squads to clarify requirements and resolve dependencies. Share technical leadership through design discussions, code reviews, mentoring and practical improvements. Participate in the squad’s on-call rotation after onboarding. Improve dashboards, alert quality, runbooks and recovery procedures, and follow through on incident findings. What Makes You a Great Fit You enjoy engineering work where correctness, reliability and business impact matter. You find value in improving an established system, removing a recurring operational problem or making a billing workflow easier to understand and support. You take ownership from understanding the problem through delivery and production support. You can turn an ambiguous request into manageable increments, make sound trade-offs and follow through without needing each step prescribed. You ask useful questions, seek feedback and raise uncertainty or blockers early. You adapt as priorities change, learn unfamiliar systems and technologies, and contribute where the squad needs you. You bring a strong backend specialty while remaining willing and able to work on frontend features and supporting infrastructure. You reason about how a service behaves in production: how it is deployed, where its data lives, what happens when dependencies fail, and how the team detects and recovers from problems. You communicate clearly in writing and in conversation. In a distributed team, you make decisions, progress and risks visible so colleagues can contribute across time zones. You work independently while staying connected to the squad. As a Staff engineer, you bring technical depth and sound judgment while remaining close to implementation. You collaborate constructively with other experienced engineers, welcome different perspectives and help the squad reach decisions and move forward. We embrace thoughtful use of AI-assisted development. We value engineers who use these tools to support exploration, implementation, testing and documentation while taking responsibility for the quality and correctness of the result. Requirements Substantial experience designing, delivering and operating production backend systems, with the depth and judgment to lead complex work hands-on. Strong experience building and operating production backend systems in Go, our primary backend language. Professional experience contributing to frontend applications using TypeScript and React, or comparable technologies, and willingness to work across the stack as priorities change. Experience reasoning about distributed systems, including partial failures, retries, consistency and interactions between services. Experience with relational databases, including data modelling, schema migrations, query performance and safe production changes. Practical experience deploying and troubleshooting containerised services and jobs in Kubernetes. Experience managing cloud infrastructure through code and working with CI/CD pipelines, environment configuration and controlled rollouts. Ability to investigate production problems using logs, metrics and traces, and turn findings into lasting improvements. A record of delivering projects end to end, clarifying requirements, making trade-offs and following through after release. Experience working remotely, with clear asynchronous communication and dependable collaboration across time zones. Ability to learn unfamiliar domains and technologies, adjust your approach as new information emerges, and take ownership beyond your main area of expertise. Experience writing readable, well-tested software that other engineers can understand, maintain and operate. Willingness to participate in on-call and take responsibility for the production behaviour of the systems you build. Experience supporting colleagues through code reviews, mentoring and constructive technical discussions. Bonus Points For Usage metering, billing engines, pricing and rates, financial reconciliation or customer-facing cost management applications. Reducing operational toil and automating workflows with recurring exceptions or manual interventions. Systems with auditability, traceability or financial-control requirements. MySQL operations, replication, database upgrades and performance tuning. Terraform, Jsonnet and Kubernetes deployment configuration. Argo Workflows or comparable deployment and job-orchestration tooling. Cloud infrastructure involving managed databases, object storage, service accounts and access controls, particularly on GCP. Data synchronisation pipelines and BigQuery integrations. Cloud marketplace integrations across AWS, Azure or GCP. Integrations with business platforms such as NetSuite or Salesforce. Observability tools such as Grafana, Prometheus, Loki or OpenTelemetry. In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Poland Workplace: fully About the Client An international technology company in the iGaming sector, providing payment infrastructure and platform solutions to online casino and sports betting operators. Role Overview Our client is looking for a Head of Payments to strengthen and scale payment operations across their iGaming platform. You’ll bring order to cross-functional processes, identify gaps, and help teams work together effectively. The role sits at the intersection of several teams and disciplines, bringing together different perspectives to support a consistent, effective payments function. You’ll help strengthen collaboration, refine how work moves across the organization, and ensure that payment initiatives contribute to sustainable improvements in performance. Key Responsibilities Build effective processes and ways of working across teams, identifying gaps and bottlenecks and driving improvements through to completion. Strengthen collaboration across the business so payment priorities and initiatives are coordinated effectively. Develop the payment infrastructure and PSP approach to support the needs of the iGaming business across different markets. Improve approval rates and other key payment metrics by monitoring performance, identifying issues, and coordinating practical solutions. Optimize payment costs while balancing performance, reliability, and market coverage. Work with the team leads to set priorities, resolve operational challenges, and keep improvements moving. Partner with Product and other stakeholders to shape payment capabilities, integrations, and expansion into new markets. Requirements At least 5 years of experience in iGaming industry, including 3 years in payments. A proven record of leading teams or functions and shaping effective processes, with substantial experience in a management capacity. Experience working across markets with varying regulatory frameworks. The ability to look beyond provider relationships and take ownership of the wider payments function, including operations, performance, and cross-team collaboration. A strategic yet hands-on approach, with the ability to identify opportunities, set clear priorities, and turn them into practical improvements. Strong communication skills and fluency in Russian / Ukrainian and English. Key Soft Skills Strong collaboration skills, with the ability to build effective working relationships across teams. A structured approach to problem-solving and a focus on turning insights into practical improvements. Clear communication skills, with the ability to align stakeholders and priorities. A pragmatic leadership style that supports progress while staying close to day-to-day operations. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: Spain Workplace: fully About the Client An international technology company in the iGaming sector, providing payment infrastructure and platform solutions to online casino and sports betting operators. Role Overview Our client is looking for a Head of Payments to strengthen and scale payment operations across their iGaming platform. You’ll bring order to cross-functional processes, identify gaps, and help teams work together effectively. The role sits at the intersection of several teams and disciplines, bringing together different perspectives to support a consistent, effective payments function. You’ll help strengthen collaboration, refine how work moves across the organization, and ensure that payment initiatives contribute to sustainable improvements in performance. Key Responsibilities Build effective processes and ways of working across teams, identifying gaps and bottlenecks and driving improvements through to completion. Strengthen collaboration across the business so payment priorities and initiatives are coordinated effectively. Develop the payment infrastructure and PSP approach to support the needs of the iGaming business across different markets. Improve approval rates and other key payment metrics by monitoring performance, identifying issues, and coordinating practical solutions. Optimize payment costs while balancing performance, reliability, and market coverage. Work with the team leads to set priorities, resolve operational challenges, and keep improvements moving. Partner with Product and other stakeholders to shape payment capabilities, integrations, and expansion into new markets. Requirements At least 5 years of experience in iGaming industry, including 3 years in payments. A proven record of leading teams or functions and shaping effective processes, with substantial experience in a management capacity. Experience working across markets with varying regulatory frameworks. The ability to look beyond provider relationships and take ownership of the wider payments function, including operations, performance, and cross-team collaboration. A strategic yet hands-on approach, with the ability to identify opportunities, set clear priorities, and turn them into practical improvements. Strong communication skills and fluency in Russian / Ukrainian and English. Key Soft Skills Strong collaboration skills, with the ability to build effective working relationships across teams. A structured approach to problem-solving and a focus on turning insights into practical improvements. Clear communication skills, with the ability to align stakeholders and priorities. A pragmatic leadership style that supports progress while staying close to day-to-day operations. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Senior Manager, 3P Revenue Accounting & Reporting to join our Accounting team. You will own revenue recognition, month-end close and reporting for Claude sold through our cloud service provider (CSP) channels: AWS Bedrock, Google Cloud Vertex AI and Microsoft Azure Marketplace. These channels are among the fastest-growing revenue streams at the company. They run on consumption-based, partner-reported data that changes every month. You will be the accounting point of contact for the finance and partner teams at AWS, Google and Microsoft. Internally, you will partner with Finance, FAB, Engineering and business teams to turn partner billing feeds into accurate, auditable revenue. You will also lead the automation of a close that is still heavily manual. If you want to build the financial infrastructure behind a fast-growing AI company, come join us in our mission to build safe, beneficial AI. Key responsibilities Lead the revenue close for cloud service provider Marketplace within a listed company timeline. Prepare and review revenue, revenue-share, reserve journal entries, accruals and true-ups including memos for accounting assessments and judgments. Own balance sheet reconciliations, reserves, and the usage-to-invoice-to-cash bridge. Perform monthly and quarterly flux analysis and prepare flux decks for leadership. Own quarter-end deliverables, including footnote disclosures, flux commentary and presentations to leadership and Corporate Accounting. Serve as the primary contact for external auditors. Review the work of accountants and contractors, set the close calendar, and keep close packages complete and audit-ready. Own monthly and quarterly 3P revenue reporting for leadership and FP&A, by partner, model, product, region and customer. Review partner usage, invoice, disbursement and fraud reports each month, and resolve data issues before close. Serve as the accounting point of contact for the finance, engineering and product teams and drive reporting improvements that support an on-time close. Apply ASC 606 to 3P arrangements, including principal-vs-agent, variable consideration and reseller arrangements. Estimate and document reserves, including credit loss (ASC 326). Assess the accounting for new 3P products, programs and billing changes, partnering with Technical Accounting on complex judgments. Partner with the Engineering teams to automate manual close processes, including SQL-driven workbooks, automated reconciliations and system-generated journal entries. Own 3P SOX controls, including design, documentation, gap remediation and audit evidence. Partner with FP&A, Treasury, AR and business teams on forecasts, cash and partner disputes. Minimum qualifications Have strong ASC 606 knowledge, especially principal-vs-agent, variable consideration, consideration payable to a customer, and consumption-based revenue. Have owned a month-end close with tight deadlines and reviewed journal entries, reconciliations and flux analysis. Have built revenue reporting from large, imperfect third-party data sets and reconciled it to the general ledger. Have managed external partner relationships where you depended on their data, and pushed for fixes. Have strong SQL skills (BigQuery or similar) and experience automating close workbooks or reconciliations. Have designed or operated SOX controls and supported external audits. Communicate clearly with accounting, finance, business and engineering teams. Thrive in fast-paced, ambiguous environments where processes are still being built. Preferred qualifications Have 10+ years of progressive accounting experience, including 3+ years managing revenue accounting or close teams. A Bachelor's degree in Accounting or Finance; CPA or equivalent (ACA, ACCA). Big 4 audit experience combined with industry experience at a high-growth tech or SaaS company. Experience with cloud marketplace, reseller or channel revenue (AWS Marketplace, Google Cloud Marketplace, Azure Marketplace). Experience with usage-based and subscription revenue models. Hands-on experience with Workday Financials, NetSuite, Numeric, Hex or similar close and reporting tools. Experience with IPO readiness. Experience using AI tools to automate accounting and reporting work. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hybrid; In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: London or Lisbon About the Department Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a hugely successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. About the Team We build the infrastructure that makes the web Payable , powering the future of machine-to-machine commerce. Here at Cloudflare, agentic commerce is a core part of our vision for the Agentic Internet . As AI agents increasingly navigate, consume, and act on the web, standard payment and authorization models built for humans are breaking down. We are building tools that help make the new internet payable by giving our users the ability to take control over how AI agents pay for resources across the Internet. Building these capabilities requires solving problems across high-throughput web infrastructure, low-latency transaction processing, digital wallets, and emerging agentic payment protocols. We bridge mainstream fiat commerce rails with decentralized protocols, enabling micro-payments at Internet scale. We’re looking for someone excited to deliver products so domain owners can control this experience, while identifying the problems Cloudflare is uniquely positioned to solve next. We are a tight-knit group that communicates and collaborates regularly. We celebrate our achievements, support each other when we make mistakes, and hold each other and our work to a high standard. About the role We are looking for an Engineering Manager to build and lead the engineering team across Agentic Commerce. You will be responsible for the people, execution, and engineering quality behind products that power machine-to-machine payments and monetization, such as our Monetization Gateway . You will partner closely with Product Management and engineering teams across Cloudflare to deliver current priorities and shape future opportunities. This is a management role for someone who is deeply technically credible. You will not be expected to write most of the code, but you should be able to understand the systems your engineers operate, challenge architectural decisions around payment rails and cryptographic auth, ask the right questions when something is going wrong, and step into a technical problem when the situation calls for it. At the same time, we are looking for a manager, not a tech lead with direct reports. Your success will be measured by the quality and output of the team you build, the engineers you develop, and the systems and products they deliver. This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed. What you'll do Manage, coach, and grow engineers working across high-throughput payment pipelines, agent authentication, and web-scale commerce architecture. Own execution by establishing clear priorities, creating predictable delivery, and giving engineers the context and autonomy to own meaningful areas of the product. Lead the development of agentic payment systems leveraging emerging open standards (x402, Web Bot Auth, ACP, UCP) to enable low-latency, machine-to-machine micropayments. Lead the engineering behind usage metering, pricing definition engines, outcome verification, and revenue attribution models tailored for agentic workflows. Build capabilities that give businesses granular visibility and control over their agent-generated revenue streams. Partner closely with Product Management to understand customer problems, shape the roadmap, and turn broad opportunities into clear engineering outcomes. Bridge mainstream and decentralized tech, interfacing with blockchain teams while keeping execution focused on mainstream, high-throughput web and fiat commerce rails. Balance near-term product delivery with thoughtful technical investments that allow promising ideas to grow. Own the operational health of the systems in your area, including observability, incident response, cryptographic security, and long-term reliability. Develop technical leaders and create space for engineers to lead architecture and implementation. Responsibilities We want you to love it here. This role is a great fit for you if: You have led and developed a high-performing engineering team(s) and can point to what that team shipped and how the people on it grew. You are technically credible with experienced engineers. You can review a design, understand the trade-offs in distributed systems or payment platforms, and recognize when a technical problem needs deeper investigation. You are comfortable managing a team working across several related technical areas (like digital wallets, payment protocols, and web authorization) and can create clarity without requiring every problem to fit neatly into a single box. You care deeply about reliability and quality, particularly when the output of a system handles monetary transactions or machine authorization. You have strong product judgment and enjoy working with Product Management to decide what is worth building, what needs improvement and what should not be built at all. You are comfortable with ambiguity and with finding structure in areas where the opportunity is clearer than the roadmap. You communicate clearly, give direct feedback, and can explain complex technical decisions to both engineers and non-engineers. Examples of Desirable Skills, Knowledge, and Experience Strong technical grounding in distributed systems, low-latency transaction processing, API design, web security, or adjacent areas. Experience building or operating products involving traditional payment rails, digital wallets, or open authorization/authentication standards (e.g., OAuth, WebAuthn, Web Bot Auth). Experience operating systems where correctness, reliability, and security matter as much as feature delivery. A track record of hiring, developing, and retaining strong engineers. Experience partnering closely with Product Management to shape and execute a roadmap. Experience taking products or major capabilities from an ambiguous opportunity to a clear customer outcome. Strong written and verbal communication. Bonus Points Familiarity with emerging agentic/machine-to-machine payment protocols (x402, AP2, ACP, UCP). Experience building hybrid fiat/crypto payment infrastructure. Familiarity with Cloudflare’s developer platform (Workers, Durable Objects, KV) or edge computing architectures. Experience turning complex underlying systems into useful payment or commerce products for a broad audience. Experience with usage-based billing, metering engines, attribution systems, or complex commercial pricing models. Previous experience working in payments and on payments technology Compensation Compensation may be adjusted depending on work location. For Lisbon based hires: Estimated annual salary of €74,000 - €93,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Global Workplace: Remote ABOUT THE ROLE Aptura is looking for Subject Matter Experts from investment banking or M&A advisory to capture their expertise in Excel. You have used AI tools on your own work and been frustrated by the mistakes they make. You will turn that experience into realistic Excel tasks that test how well AI does the modelling work of an Investment Banking Analyst. RESPONSIBILITIES - Writing realistic Excel tasks drawn from your own work: extending existing models, fixing broken ones and building from a brief - Working through each task yourself so there is a clear, correct answer - Writing yes-or-no criteria precise enough that a grader can mark any attempt against them NECESSARY QUALIFICATIONS - 3+ years in investment banking, M&A advisory or corporate development - Deep hands-on Excel: merger models, pro formas, purchase accounting, precedent transactions, football fields and financial functions - Strong written English communication skills. - Attention to detail, and willingness to learn concepts in AI and Evals ADDITIONAL INFORMATION - Start Date : Immediate - Duration: Approximately 4–6 weeks - Payment: task-based. Experts who complete their first task within the required timeline will then be qualified to do multiple tasks for the remainder of the project. CONTRACT AND PAYMENT TERMS - You will be engaged as an independent contractor. - This is a fully remote role that can be completed on your own schedule. - Projects can be extended, shortened, or concluded early depending on needs and performance. - Your work at Aptura will not involve access to confidential or proprietary information from any employer, client, or institution. - Payments will be weekly following task completion. GETTING STARTED - Apply with your details and CV. Choose an available 30-minute group walkthrough call. - Attend the walkthrough and create one original task from your own work. Submit the brief, the actual input workbook(s) needed to complete it. Input-file uploads are compulsory. - Write the brief yourself. Input workbooks must also be human-built. Use real data that has been sanitised, or public data with the source named. No AI usage allowed. - We run your task against current frontier AI models. If the models get it wrong, you then write a detailed yes-or-no rubric, and a reviewer signs off on the task with you. - Completing onboarding does not guarantee a job offer; selection remains subject to written approval of the task proposal. ABOUT APTURA Aptura is an applied AI and data company working with frontier labs to train AI systems on real professional work. We do this by building high-quality evaluation and training environments that teach AI agents to produce work that can be used in daily workflows.

Location: Cyprus Workplace: fully About the Client An international technology company in the iGaming sector, providing payment infrastructure and platform solutions to online casino and sports betting operators. Role Overview Our client is looking for a Head of Payments to strengthen and scale payment operations across their iGaming platform. You’ll bring order to cross-functional processes, identify gaps, and help teams work together effectively. The role sits at the intersection of several teams and disciplines, bringing together different perspectives to support a consistent, effective payments function. You’ll help strengthen collaboration, refine how work moves across the organization, and ensure that payment initiatives contribute to sustainable improvements in performance. Key Responsibilities Build effective processes and ways of working across teams, identifying gaps and bottlenecks and driving improvements through to completion. Strengthen collaboration across the business so payment priorities and initiatives are coordinated effectively. Develop the payment infrastructure and PSP approach to support the needs of the iGaming business across different markets. Improve approval rates and other key payment metrics by monitoring performance, identifying issues, and coordinating practical solutions. Optimize payment costs while balancing performance, reliability, and market coverage. Work with the team leads to set priorities, resolve operational challenges, and keep improvements moving. Partner with Product and other stakeholders to shape payment capabilities, integrations, and expansion into new markets. Requirements At least 5 years of experience in iGaming industry, including 3 years in payments. A proven record of leading teams or functions and shaping effective processes, with substantial experience in a management capacity. Experience working across markets with varying regulatory frameworks. The ability to look beyond provider relationships and take ownership of the wider payments function, including operations, performance, and cross-team collaboration. A strategic yet hands-on approach, with the ability to identify opportunities, set clear priorities, and turn them into practical improvements. Strong communication skills and fluency in Russian / Ukrainian and English. Key Soft Skills Strong collaboration skills, with the ability to build effective working relationships across teams. A structured approach to problem-solving and a focus on turning insights into practical improvements. Clear communication skills, with the ability to align stakeholders and priorities. A pragmatic leadership style that supports progress while staying close to day-to-day operations. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We're looking for a Lead Software Engineer to build software that makes network operations safe, scalable, and boring, as we launch new data centers in APAC and expand fast. This is not a "write scripts for configs" role: you'll build the tooling and services that sit between the network core (switches/ports/VLANs, traffic processors) and the cloud platform on top, using open source where it fits and building the missing pieces where it doesn't. At this stage of our APAC growth you will be hands-on: writing code, making architectural decisions and owning your area end to end, with real autonomy. Then you will grow the local engineering team around you. Your responsibilities will include: Build and maintain services and tooling that automate the network lifecycle: day-0 provisioning, day-N changes, drift detection, and operational verification Make network changes safe and transparent: CI/CD workflows, diff/review tooling, staged rollouts/rollbacks, audit trails, and guardrails Develop observability systems that scale across many sites: telemetry pipelines, signal quality, and tooling that shortens incident investigations Close "last mile" gaps between the network and the platform: integrate source-of-truth data, expose APIs, and build reliable automation around it Own architecture and technical decisions for your area in APAC, and align them with the European teams Collaborate closely with network engineers and SREs to turn real operational pain into product-quality tooling Hire and onboard the first engineers in the region, set code quality and engineering standards, and mentor the team We expect you to have: 7+ years of professional software engineering experience (or equivalent practical background), including experience as a tech lead or team lead with broad ownership Strong coding skills and ownership mindset: you can ship and operate reliable services Proficiency in Go or readiness to switch; Python is also welcome (other languages can be useful for OSS debugging/fixes) Ability to work autonomously in an early-stage environment, make decisions with incomplete information, and build processes from scratch Willingness to stay hands-on while leading and growing a team You don't have to be a Network expert , but we expect you to have interest in infrastructure and/or network It will be an added bonus if you have: Background in networking (ex-network engineer, CCNP/education, DC networking exposure) or strong interest and proven ability to learn fast Experience building automation/infra tooling: CI/CD, IaC, testing/staging environments, or "network-as-code" style workflows Low-level networking / datapath experience: eBPF/XDP, DPDK, kernel networking, traffic processing systems Experience designing high-load services and observability platforms (metrics/logs/traces, alerting, regression detection) Contributions to open source or experience extending/debugging OSS components in production environments Experience building an engineering team from scratch or launching a new engineering hub We expect Engineers to: Manage large-scale projects involving multiple stakeholders across regions Break down complex tasks and guide both their own work and that of more junior colleagues Be experts in specific technologies and write high-quality code that can serve as a reference Assess task priority and focus on high-impact work, avoiding low-value efforts Have strong architectural thinking and contribute to system design Lead hiring in the region: define the profile, run interviews, and make hiring decisions Share knowledge and mentor others Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We're looking for a Lead Site Reliability Engineer to build and run the fundamental part of Nebius in APAC: the Network, the infrastructure everything else depends on. We are at the early stage of our APAC expansion, so this is a hands-on role. You will define reliability targets, write automation and handle incidents yourself, with a high degree of independence from the European teams. As the region grows, you will build and lead the local SRE team. Your responsibilities will include: Define and own reliability goals for network services and critical paths in the region (SLIs/SLOs, availability targets, error budgets where it makes sense) Drive reliability improvements across the whole APAC network: not only services, but also site readiness, inter-site connectivity (DCI), and operational standards for new data centers Own incident response for your areas, lead investigations/postmortems, and turn failures into durable fixes (not repeated firefighting); set up on-call and incident management practices for the region Build and evolve observability: actionable metrics/logs/traces, alerting, and faster debug loops during and after incidents Design safer change workflows: automation, CI/CD, test/staging environments, canarying, rollbacks, and auditability for network changes Work closely with network engineers and platform teams in APAC and Europe to embed operability into designs and keep operations practical and fast Hire, onboard and mentor the first SREs in the region and set the engineering bar for the team Coordinate with European teams on handoffs and coverage across time zones We expect you to have: 7+ years of experience in SRE / infrastructure engineering, including experience leading a team or acting as a technical lead with broad ownership of production systems Strong production Linux fundamentals and a structured approach to debugging complex systems Solid understanding of networking basics and how real networks fail (control plane vs data plane, latency/loss, failure domains, etc.) Hands-on experience operating high-availability systems and improving them over time (not just "keeping lights on") Ability to write and maintain software/automation (Go is common for us; Python is also welcome) Experience with modern infrastructure tooling (e.g., IaC, CI/CD, container platforms) and comfort automating operational workflows Ability to work independently in an early-stage environment and to build processes and a team from scratch Willingness to stay hands-on while leading and growing a team It will be an added bonus if you have: Experience with high-throughput traffic processing: load balancers, tunneling/decap, NAT64, or similar datapath-heavy systems Low-level networking performance/debug background (eBPF/XDP, DPDK, perf/ftrace, kernel networking internals) Experience building network-safe delivery pipelines (testing labs, staged rollouts, automated verification, drift detection) Background with large-scale network observability/telemetry (routing/flow telemetry, regression detection at scale) Knowledge of the APAC network landscape (carriers, IX, regional connectivity and regulatory specifics) Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Hiring Locations: Atlanta, GA, Austin, US, New York, NY, San Francisco, CA, Seattle, WA, Washington DC, US About the Department Infrastructure Operations builds and manages the data center infrastructure behind Cloudflare's global network. The organization brings together engineering, operations, hardware and logistics teams that plan, deploy, operate and maintain our footprint in hundreds of cities worldwide. In this role, you'll help extend that footprint with a new generation of data center sites across the United States. About the Role We're looking for an experienced Data Center Operations manager to build and run the team that brings these new sites online and keeps them running around the clock. You will build a distributed team of Data Center Engineers from the ground up. You'll own sites across their full lifecycle: delivering greenfield builds through third-party vendors and colocation partners, running them in production, and retiring hardware securely at end of life. You'll be accountable for production hardware availability, 24x7 on-site response, and the operating model that lets this footprint scale. The role means balancing competing demands every day: build deadlines against build quality, dependence on partners against high standards, and fast incident response against careful compliance. You need to keep both sides of each in view. This role covers the physical layer: hardware, cabling, and Layer 1/Layer 2 connectivity. It works closely with network engineering and server provisioning teams but does not own them. What You'll Do Team Leadership Hire, develop and manage Data Center Engineers based on-site at data centers across the US. Set clear expectations, career paths and a culture of ownership across a team spread over many sites. Build and take part in a 24x7 on-call rotation with your team. Define coverage models, handover protocols and incident SLAs that hold up as the footprint grows. Serve as the escalation point for on-site incidents. Coordinate engineers, colocation providers and vendors to restore service quickly, and lead root-cause analysis after major incidents so the same problem doesn't happen again. Site Delivery Own build timelines from site readiness through hardware delivery, rack-and-stack, cabling, validation and handoff to production. Run greenfield builds as multi-workstream programs. Coordinate third-party integrators, contractors and colocation providers to hit dates without cutting corners. Be on-site during key build phases to oversee vendor work, verify quality and make sure sites are production-ready. Production Operations Be accountable for availability targets for production hardware at your sites. Run break/fix, repairs, RMAs and spares strategy so that availability is measured, reported and improving. Manage colocation providers and vendors day to day: escalations, remote-hands quality, power and cooling issues, and performance against contractual commitments. Documentation and DCIM Make sure every site is fully documented in DCIM from day one. That covers rack elevations, power and cabling, asset location, and lifecycle status, all recorded as hardware arrives rather than filled in later. Treat infrastructure records as a source of truth that both operations and dependent teams rely on, giving them accurate, current visibility into where hardware is and what state it's in. Partner with tooling teams to bring DCIM online at new sites, and define documentation standards that hold up as the footprint grows. Decommissioning and Hardware Lifecycle Own on-site decommissioning end to end: unracking, physical collections, serial number verification, chain of custody, and handoff for secure destruction. Partner with vendor management on IT asset disposition (ITAD) vendors. Make sure destruction certificates and compliance evidence are filed and audit-ready. Security and Compliance Make sure your sites and team meet Cloudflare's physical security, access control, chain-of-custody and compliance obligations. Follow established physical access procedures, and work with security and compliance teams to develop new ones where these sites need them. Support audits with accurate, timely evidence. Treat audit readiness as a continuous standard, not something you prepare for once per audit cycle. Automation and Operational Efficiency Find manual, repetitive work in build, break/fix, decommissioning and evidence collection. Influence tooling and automation teams to remove it. Evaluate and adopt AI-assisted workflows for incident triage, root-cause analysis, documentation and compliance evidence generation. Scale the operation through tooling, not just headcount. Business Reporting Own weekly business reviews and monthly and quarterly reporting on availability, build progress, incidents and operational health to the Director and peer leaders. Partner with network, systems, hardware, supply chain and infrastructure engineering teams to make sure physical operations support what runs on top of them. Who You Are A builder who stays to operate. You've stood up sites and teams, and you take ownership of what happens after go-live. Delivering a build is where your job starts. If it isn't documented, it isn't done. A leader of distributed teams. You've hired and built trust with on-site engineers spread across many locations, most of whom you won't see day to day. You know how to create accountability, consistent standards and a shared culture across sites, both remotely and in person. Firm with partners. You hold colocation providers and vendors to high standards without becoming adversarial. You know the contract, you track performance, and you escalate when it's warranted. Compliance-minded without being a compliance specialist. You understand why access controls and decommissioning chain of custody are audit controls. You treat compliance as part of doing the work well, not as overhead. Automation-first. When something hurts, your first instinct is to fix the process or the tooling, not add people. You can turn an operational pain point into requirements engineering teams can act on. Required Experience 6+ years in data center operations, including 3+ years directly managing on-site technical teams. At least part of that time should be leading geographically distributed teams. A track record of operating multi-site data center fleets at hyperscale or large-cloud scale. Hands-on experience with IT hardware, including servers, network devices, optics and cabling, not only facilities infrastructure. Enough hands-on depth to coach engineers on technical work and to judge the quality of vendor and contractor work. Experience owning sites across the full lifecycle: delivering greenfield data center or cage builds through third-party vendors, running them in steady state, and decommissioning hardware. Experience managing providers in Tier III+ colocation facilities and holding them accountable to commitments. Experience managing 24x7 on-call operations and incident escalation. Strong Layer 1 and Layer 2 fundamentals: structured cabling, fiber and optics, patching standards, switching basics, and troubleshooting physical connectivity for network and server hardware. Solid knowledge of data center power and cooling, rack design, high-density deployments and hardware lifecycle management. Strong understanding of DCIM and asset management systems. You should have a track record of keeping documentation accurate from day one, including rack, power, cabling and asset records maintained from hardware arrival through decommissioning. Working knowledge of the security and compliance frameworks common in enterprise-grade data centers. You should understand them well enough to run operations under them; auditor-level expertise isn't required. Strong program management skills across multiple vendors, sites and time-bound workstreams. A track record of reducing toil through tooling or process redesign. Excellent written and verbal communication, including regular business reviews and status, risk and availability reporting to leadership. Ability to travel regularly to data center sites. Expect more frequent travel during site builds, shifting to periodic visits as sites reach steady state. Preferred Qualifications Experience standing up a new data center operations function or region from zero. Background at a hyperscaler, cloud provider, major CDN or similarly fast-scaling infrastructure company. Experience with ITAD vendor programs and secure destruction requirements. Experience with PagerDuty or similar on-call and incident tooling. Familiarity with DCIM and source-of-truth tooling such as NetBox or Nlyte, Jira-based operational workflows, and Confluence documentation practices. Experience with remote-hands programs and vendor scorecards. Background in hardware diagnostics, burn-in or automated build validation. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $174,000 - $239,000 For New York, Washington DC, Seattle based hires: Estimated annual salary of $165,000 - $227,000 For Austin Texas, Denver, Atlanta based hires: Estimated annual salary of $132,000 - $182,000 What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.