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Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Self-serve is where the majority of our customers start their journey, and the Growth team owns that journey end to end. This role owns the self-serve existing business : once a customer converts to paid, the account is yours - through every stage of its lifecycle, as it adopts more of the platform, grows its usage, and deepens its reliance on Fin. Your mandate is to grow the value of the self-serve base: drive expansion, strengthen retention, and accelerate adoption of Fin and our newest products across thousands of paying customers. You'll own a book of business, a roadmap, and a cross-functional motion that spans product, lifecycle, data, and go-to-market. It's a rare Growth remit with a clear number to move and a lot of room to build the motions that move it. What will I be doing? Own the self-serve existing business book. Own the remit end to end - from the moment a customer converts to the point they renew, expand, or leave - and be accountable for the net growth of that book. Grow Fin adoption. Get more customers using our AI Agent across the existing base, and help the customers who already use it automate more of their support. Defend and expand. Build the retention and expansion motions that grow the book - combining in-product experiences, lifecycle messaging, and a data/signal layer that flags which accounts need attention and when. Connect self-serve and sales. Design smooth, well-defined handovers between self-serve and sales in both directions, so the right customers get the right motion. Fix the key journeys. Partner with core product teams to remove friction on the journeys that matter most to self-serve customers - onboarding and activation, Fin setup and go-live, plan changes and expansion, billing and plan management. Land new products & features. Drive attach and adoption of new products & features across the self-serve base. Understand the customer. Deeply understand the customers you're serving through research, data, and direct interactions, and turn that understanding into a clear, prioritised roadmap you communicate to build alignment. Build and ship. Collaborate with engineers and designers to ideate, build, and ship solutions, and leverage AI to increase your efficiency and accelerate product development. Measure impact. Evaluate impact through quantitative and qualitative measures, own product quality, and model our company values and R&D principles in how you lead. What skills do I need? There is no minimum years of experience, and no need to have held the PM title. We care about your impact, drive, and potential - former founders, strategy & operations leaders, and consultants are as welcome as career PMs. The common thread is end-to-end ownership of a problem and the outcomes that follow. We'll be looking for evidence you've applied and grown these skills: Growth and lifecycle expertise. You've owned retention, expansion, adoption, or monetisation for a self-serve or product-led business, and you know how to move those numbers. Sharp customer focus and problem framing. You get to the real customer problem through research, data, and direct conversations before deciding what to build. Strong data fluency. You're comfortable working with funnels, cohorts, and customer signals to find opportunity, size it, and measure impact - and you make decisions from evidence, not instinct. Compelling roadmaps. You build and communicate a roadmap that makes the what, when, and why obvious to everyone who needs to align behind it. Excellent product judgment. You balance customer needs, business impact, and technical constraints, and you know what to ship now versus later. Cross-functional leadership. You drive outcomes across product, design, engineering, data, lifecycle marketing, CS, and sales - influencing teams you don't own. AI fluency. You understand how LLMs and AI agents work well enough to assess feasibility, make informed product decisions, and use AI to accelerate your own work. Outcome-oriented. You define success clearly, share progress openly, and hold yourself to measurable impact. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Limassol, Cyprus About the Role Spotware Systems is looking for a motivated Trader Support Specialist to join our team in Limassol, Cyprus . Be the voice of cTrader for our traders. Provide fast, accurate and friendly support across all channels, and work closely with product and customer success teams to protect and strengthen the company’s reputation. Responsibilities : Trader support across all channels: handle trader requests via tickets (Freshdesk), app store reviews (Google Play, App Store), Trustpilot, Discord, YouTube and other community channels. Clear, professional communication: explain features and solve issues in a simple, human way, and adapt the tone to each channel and audience. Daily work with the Product Owners of all our apps (Mobile, Web, Windows, Mac): report bugs and issues through YouTrack, share user feedback and recurring pain points, and follow up until they’re resolved. Coordination with Customer Success Managers: align on broker-related cases, escalate partner issues, and make sure traders and brokers get consistent answers. Protect and promote the company’s reputation: respond to public reviews and feedback professionally, turn negative experiences into positive ones, and highlight cTrader’s strengths. Requirements : Excellent written and verbal communication skills in English; additional languages are a strong plus Strong analytical and troubleshooting skills, with attention to detail Ability to manage several channels and priorities at the same time Interest in trading and financial markets; knowledge of CFDs, forex or trading platforms is a plus Team player with a proactive, ownership mindset Nice to have: Experience with cTrader or a similar trading platform Experience with Freshdesk, YouTrack or similar tools Please let me know if you need anything else to get started. Benefits Competitive salary. Private medical insurance. Support with settling into life in Cyprus, including accommodation, banking, healthcare, and everyday guidance. Comfortable office environment with fresh fruit every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

Location: Sydney, Australia 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 As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners . You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 10+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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: DRC Kongo Central Bandundu Lukula About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. À propos de GiveDirectly GiveDirectly envoie de l’argent directement aux personnes en situation d'extrême pauvreté , afin qu’elles décident elles-mêmes de ce dont elles ont le plus besoin , notre culture est franche , analytique, rapide et non hiérarchique. Depuis 2018, GiveDirectly est présente en RDC et transfert de l’argent par téléphone mobile au menages vulnerables , en vue de promouvoir la sécurité alimentaire, la réduction de la pauvreté et l’inclusion financière. Pour en savoir plus sur notre action et nos resultats ,visitez : www.givedirectly.org Responsabilités. Conception de programmes et travail de projet Conseiller et formuler des recommandations sur la conception des programmes pour garantir que ces derniers respectent pleinement les normes et politiques de protection. Fournir des orientations aux autres membres de l'équipe de GD pour s'assurer que tous les aspects de notre programme sont respectueux, dignes et reflètent les engagements de GD envers les "Bénéficiaires d'abord". Identifier de manière proactive les domaines thématiques de protection dans le pays qui pourraient avoir un impact sur nos bénéficiaires, et conseiller l'équipe nationale sur la manière de traiter et d'atténuer ces risques. Effectuer une analyse approfondie des risques de protection du projet et fournir des orientations sur les stratégies de mise en œuvre sécurisée qui protègent les bénéficiaires Établir des relations et s'engager avec les leaders communautaires afin d'identifier et de résoudre les problèmes de protection. Passer en revue toutes les nouvelles enquêtes sur le terrain pour garantir une communication sûre avec les bénéficiaires et une inclusion appropriée du consentement. Faire partie intégrante de l'équipe des programmes et de l'engagement communautaire en fournissant un soutien dans l'identification des communautés, l'évaluation de la vulnérabilité et la détection des risques avant le lancement de nouveaux programmes. Gestion des cas de protection Agir en tant que responsable des cas de protection du pays pour les bénéficiaires. Travailler directement avec les bénéficiaires et les parties prenantes concernées pour résoudre les problèmes de protection. Élaborer et mettre en œuvre des protocoles de réponse en matière de protection pour les différentes équipes, y compris les enquêtes, les programmes et les ressources humaines. Élaborer et maintenir des systèmes de signalement solides permettant aux bénéficiaires de soulever toute préoccupation concernant le programme. Documenter et suivre tous les incidents de protection du pays et les partager avec l'équipe mondiale de protection et d'autres parties prenantes. Assurer la gestion des références dans votre pays, y compris la gestion des bases de données des partenaires de référence, la gestion des relations avec les partenaires et les protocoles de référence. Servir de lien entre GD, les bénéficiaires concernés et les partenaires de référence, au besoin. Travailler à l'amélioration et à l'augmentation des rapports en matière de protection dans les programmes de GD dans le pays en proposant de nouvelles approches ou voies de signalement innovantes. Politiques et formations en matière de protection Conseiller et surveiller les politiques de protection dans le programme du pays de la RDC. Dispenser et documenter des formations en matière de protection à l'ensemble du personnel lors de l'intégration des nouveaux employés et au moins deux fois par an. Aider le responsable du programme de protection à adapter les supports de formation pour les adapter au contexte spécifique. Dispenser des formations en matière de protection aux sous-traitants et aux partenaires, si nécessaire. Passer en revue, mettre à jour et personnaliser les supports de formation en matière de protection pour refléter les besoins du pays et les évolutions du secteur. Se renseigner auprès d'autres ONG sur leurs pratiques de protection en matière de protection. Identifier et participer aux forums des parties prenantes en matière de protection qui aident GD à rester informé des normes et des meilleures pratiques du secteur, par exemple le Cluster de protection. Soumettre des rapports mensuels sur les activités mentionnées au responsable principal de la protection et au directeur du pays. Profil Recherché Niveau requis : Diplôme universitaire supérieur (Bac+4 / Bac+5, ) ou Licence avec solide expérience compensatoire(Protection de l'enfance,Gestion des crises humanitaires, coopération et développement international) Domaines d'études : Sciences sociales, sociologie ou travail social Droit (droit international humanitaire, droits de la personne, droit pénal)ou diplôme universitaire supérieur (Bac+4 / Bac+5, ) dans un autre domainepsychologie ou santé publique. Certifications complémentaires appréciées : Formations certifiantes en sauvegarde ( CHS Alliance , Keeping Children Safe ) ou en techniques d'enquête sur les allégations d'exploitation, abus et harcèlement sexuels (SEAH). Durée générale : 3 à 5 ans d'expérience progressive au sein d'ONG nationales ou internationales, d'agences onusiennes ou d'institutions humanitaires. Spécialisation sauvegarde (2 à 3 ans minimum) : Conception et mise en application opérationnelle de politiques de sauvegarde et de mécanismes PEAS / PSEA . Évaluation des risques de sauvegarde tout au long du cycle de projet. Gestion des cas et enquêtes : Expérience démontrée dans la gestion confidentielle de signalements, le suivi des incidents critiques et l'orientation des survivants (prise en charge médicale, psychosociale et légale). Participation active ou direction d'enquêtes administratives sur des allégations d'abus, de harcèlement ou de manquements éthiques. Formation et renforcement des capacités : Animation de sessions de formation, sensibilisation des équipes de terrain, des prestataires et des partenaires locaux, ainsi que structuration de réseaux de points focaux. Coordination et supervision : Expérience dans l'appui au management d'équipe et la révision de rapports techniques d'incidents. Excellente maîtrise de la législation locale relative à la protection des mineurs et des personnes vulnérables. Maîtrise des langues d'intervention (français et anglais professionnel, ainsi que les langues locales des zones de mise en œuvre Lingala, kikongo,kitandu et Kiyombe). Connaissance pratique des mécanismes de redevabilité communautaire (mécanismes de plainte et de feedback Valeurs de GiveDirectly Priorité aux bénéficiaires : Nous privilégions les préférences des bénéficiaires, pas celles de nos donateurs ni même les nôtres. L’équipe avant l’individuel : Nous œuvrons pour le succès de l’organisation, pas celui des individus. Être proactivement franc : Nous parlons et communiquons les informations en toute franchise. Créer une énergie positive : Nous nous efforçons d’apporter de l’énergie positive à nos collègues, et pas de la leur prendre. Réfléchir rigoureusement, agir rapidement : Priorité à la rigueur et à l’action, pas au débat interminable. Se connaître et se développer : Nous sommes conscients de nos défauts, mais nous les exploitons. Accepter la réalité, Proposer des solutions : Nous ne nous attardons pas sur les problèmes. Nous créons des solutions. Être ambitieux de manière productive : Nous prenons des risques qui pourraient révolutionner le secteu Comment postuler Les candidatures se font uniquement en ligne, les intéressés sont priés d’aller sur le https://boards.greenhouse.io/givedirectly chercher les offres de la RDC, et soumettre leurs candidatures au plus tard le 13 Novembre   2026 à 17h00 précises Heure de Kinshasa. Si les pièces ne sont pas demandées sur le portail de candidatures , le dossier contient ( Un CV à jour avec 3 références, une lettre de motivation , la copie du diplôme et le certificat de fin de service du dernier employeur, Les dossiers incomplets ne seront pas examinés) En cas de difficulté technique écrire à drc-recruitment@givedirectly.org Les attestations fournies sont toutes vérifiées ; en cas de fausse information votre candidature sera rejetée. Les attestations de services fournies dans votre dossier pour ce recrutement, seront vérifiées, scrupuleusement, et toute fausse information y relative entraînera un rejet immédiat de votre candidature. ATTENTION : NE PAS ENVOYER VOTRE CANDIDATURE À L'ÉMAIL : whistleblower@givedirectly.org Nos engagements GiveDirectly applique une politique de tolérance zéro à l'égard de l'exploitation, des abus et du harcèlement sexuels (SEAH) et attend de toute personne qui travaille avec nous qu'elle place la protection des bénéficiaires en priorité. Le recrutement est entièrement gratuit. GiveDirectly ne demande ni frais, ni pot-de-vin, ni faveur d'aucune sorte, ni information bancaire, à aucune étape du processus. Si l'on vous formule une telle demande, ou si vous estimez subir une pression ou une discrimination injuste, écrivez à whistleblower@givedirectly.org Cette adresse sert uniquement à signaler un problème, jamais à postuler. Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: United States Workplace: remote About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  Job Description Summary   In this exciting position, the Multimedia Content Reviewer will be responsible for writing, adapting, reviewing, and evaluating a wide range of linguistic and multimedia content in Brazilian Portuguese, ensuring the highest standards of linguistic accuracy, cultural relevance, and overall quality for customers using the world's foremost multimedia platforms.  The role combines creative and editorial expertise with analytical and quality evaluation skills, covering traditional localization work as well as emerging content types, including AI-generated content, linguistic annotation, and structured content evaluations.  With time, the Multimedia Content Reviewer will become the cultural ambassador for their language market and will be expected to produce fully localized content, flag potential cultural issues, and articulate suggestions to make all content appropriate and relevant for the target market.  The ideal candidate possesses a background in journalism, editorial content, copywriting, or a related field, has proven creative writing skills, and a keen attention to detail. They should also demonstrate strong critical thinking, sound editorial judgment, and the flexibility to navigate different workflows, guidelines, and content evaluation methodologies.  In addition, we're seeking candidates who are passionate about music, film, sports, gaming, and technology, and have a knack for iOS and macOS devices. Main Duties Localize, translate, and adapt content of various categories (i.e. multimedia, legal, technical, marketing, sports, entertainment, health and wellness, and other digital content) while adhering to writing style guides and project-specific guidelines. Write new copy for a range of multimedia products such as music, TV, film, sports, apps, video on-demand, game subscription services, and more. Copy-edit and fact-check content to ensure accuracy, clarity, consistency, and cultural relevance. Perform LQA (Localization QA) testing of content published on live platforms (music and app descriptions, marketing material, and marketing campaigns). Evaluate human-written and AI-generated content for linguistic accuracy, fluency, relevance, consistency, and adherence to project-specific quality standards. Perform linguistic annotation, content classification, and structured evaluation tasks using predefined guidelines, rating scales, and quality criteria. Identify and document errors, inconsistencies, and quality issues, providing clear, actionable feedback and supporting rationale for evaluation decisions. Conduct market-specific research on local content treatment, audience preferences, cultural nuances, product and terminology trends, and best localization practices for the target audience. Report on data and/or assets across a broad scope of media and content types, ensuring accuracy, consistency, and compliance with project requirements. Collaborate with global language teams via virtual meetings and email on content review tasks to align on terminology, style, quality standards, evaluation criteria, and market-specific insights. Requirements BS/BA and 2+ years of work experience in journalism, copywriting, editing, digital media, content production, or a related field. Experience in translation and localization of multimedia content or demonstrated experience adapting content for Brazilian audiences. Native-level proficiency in Brazilian Portuguese, with excellent grammar, writing, editing, and linguistic judgment skills. Ability to quickly detect issues and inconsistencies across large volumes of content and make sound judgment calls based on the information at hand. Ability to interpret and consistently apply detailed guidelines, rating scales, and evaluation frameworks across different projects. Familiarity with AI-generated content, linguistic annotation, content evaluation, or data quality assessment is a plus. Is in tune with and has a wide range of knowledge of music, film, TV, sports, gaming, technology, and Brazilian pop culture. Has the ability to own linguistic quality for the Brazilian Portuguese market and make confident linguistic decisions. Must be highly detail-oriented with the ability to multitask, prioritize, and meet deadlines. Fluency in written and verbal English. Strong computer literacy; knowledge of iOS/macOS systems is a plus. Ability to work independently and remotely. Collaborative; enjoys teamwork in a multicultural environment and is open to feedback, calibration, and continuous learning.

-Проектирование и разработка LLM-сервисов и API (REST/gRPC) для интеграции с внешними системами. -Создание и оптимизация RAG-пайплайнов и систем гибридного поиска для повышения качества и точности ответов.

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 rôle Anthropic construit l’équipe Applied AI pour aider les organisations les plus ambitieuses du monde à adopter Claude de manière transformatrice, sûre et durable. Nos Forward Deployed Engineers s’intègrent directement auprès de clients stratégiques pour déployer des applications d’IA en production qui résolvent de véritables problèmes métier. À mesure que cette pratique se développe, nous avons besoin d’une personne leader pour construire et développer cette équipe. En tant que premier Forward Deployed Manager en Europe du Sud, vous piloterez l’équipe qui se situe à la frontière du déploiement d’IA en entreprise. Vous recruterez et développerez une équipe performante de Forward Deployed Engineers, fixerez le standard technique et opérationnel pour les engagements clients, et construirez les playbooks qui transforment les succès ponctuels en modèles reproductibles. Vous travaillerez en étroite collaboration avec les Engagement Managers qui gèrent la logistique de livraison et les relations avec les parties prenantes, tout en veillant à ce que votre équipe livre du code de qualité, se développe techniquement, et représente Anthropic au plus haut niveau dans les environnements clients. Ce rôle est un rôle de meneur-contributeur avec une forte orientation leadership. Vous resterez assez impliqué dans le travail technique pour examiner les architectures, déboguer les problèmes en production, et vous associer à votre équipe quand cela compte — mais votre impact principal viendra des personnes que vous recruterez, des standards que vous fixerez, et de la culture que vous créerez. Vous collaborerez de manière transversale avec les équipes Ventes, Produit et Ingénierie pour façonner la manière dont Anthropic sert ses clients les plus stratégiques, et les insights de terrain de votre équipe influenceront directement la direction produit. Ce rôle nécessite quelqu’un qui s’épanouit dans l’ambiguïté et qui est énergisé par la création à partir de zéro. Vous définirez ce que l’excellence ressemble pour la gestion d’une équipe FDE chez Anthropic — il n’existe pas de playbook existant à suivre. Responsabilités Recruter, développer et fidéliser une équipe de classe mondiale de Forward Deployed Engineers. Fixer un haut standard pour le talent technique et l’instinct client. Mener des entretiens individuels réguliers, fournir du mentorat technique, et investir dans la progression de carrière de chaque membre de l’équipe. Créer un environnement où les Forward Deployed Engineers accomplissent leur meilleur travail. Staffier et superviser les engagements clients dans le portefeuille de votre équipe, en prenant des décisions d’allocation des ressources qui équilibrent les besoins clients, le développement de l’équipe, et les priorités métier. Collaborer avec les équipes de compte et les Engagement Managers pendant le processus de pré-vente pour qualifier les engagements, définir le périmètre du travail, et informer les demandes de travail. Examiner les architectures techniques et le code produit par vos Forward Deployed Engineers, en veillant à ce que l’équipe livre des solutions production de haute qualité qui résolvent de véritables problèmes clients. Rester assez impliqué pour diriger des sessions de découverte technique, prototyper des solutions, et déboguer des problèmes complexes aux côtés de votre équipe quand cela est nécessaire. Construire des playbooks reproductibles, des dépôts de démarrage, des modèles d’intégration, et une base de connaissances interne qui capture ce que votre équipe apprend sur le terrain. Définir les OKRs de l’équipe liés aux résultats de succès client et aux objectifs d’adoption produit. Créer des cadences opérationnelles — standups, rétros, revues d’engagement — qui maintiennent l’équipe alignée. Collaborer avec Produit et Ingénierie pour traduire les insights de terrain en améliorations produit. Servir comme voix du client dans la planification interne. Voyager sur les sites des clients selon les besoins (25-50%), particulièrement lors des lancements d’engagement et pour les comptes prioritaires de votre équipe. Vous pourriez être un bon fit si vous avez 10+ ans d’expérience en ingénierie logicielle, architecture de solutions, ou dans un rôle technique orienté client comme l’ingénierie forward deployed ou le conseil. 2+ ans d’expérience en gestion de personnes au sein d’une organisation de services/post-vente/FDE avec un palmarès de recrutement, développement et fidélisation d’ingénieurs performants. De l’expérience dans la construction d’organisations de zéro à un, pas seulement l’héritage d’une organisation existante. De l’expérience de travail direct avec des clients d’entreprise sur des mises en œuvre techniques, y compris l’aisance à naviguer dans les dynamiques organisationnelles complexes. Une présence de cadre avec la capacité à naviguer fluidement entre les conversations stratégiques avec les parties prenantes senior et les sessions de débogage pratiques avec les ingénieurs. Des compétences fortes en communication écrite et verbale. Vous pouvez traduire la complexité technique en narratifs clairs pour des audiences diverses. Un enthousiasme sincère pour la construction de quelque chose de nouveau et la définition de l’excellence pour une équipe qui n’existe pas encore. Pourquoi ce rôle compte Vous serez une personne leader fondatrice d’une équipe qui définit comment les entreprises adoptent et déploient l’IA. Votre travail influencera directement la direction produit d’Anthropic, créera des modèles réutilisables pour la base clients plus large, et établira Anthropic comme le partenaire de confiance pour la transformation de l’IA — tout en promouvant le développement responsable des systèmes d’IA de pointe. About the role Anthropic is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it. As the first FDE Manager in Southern Europe, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction. This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow. Responsibilities Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts. Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers. Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities. Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work. Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems. Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed. Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned. Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning. Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts. You may be a good fit if you have 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers. Experience building organizations from 0->1, not just inheriting an existing one. Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics. Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers. Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist. Why this role matters You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems. 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: €235.000 — €295.000 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: Amsterdam, Netherlands 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. Role Overview We are seeking a Compliance Due Diligence Specialist to further improve our Third-Party Risk Management (TPRM) and due diligence assessment framework and processes . This person will be responsible for day-to-day execution of due diligence assessments for various third parties. This role is ideal for someone with a solid compliance due diligence foundation who wants to dig down to investigating third parties , contribute to process improvements , and help scale a modern compliance function in a fast-growing tech environment. You will work closely with Ethics & Compliance, Legal, HR, and various other business and technology teams to ensure compliance is practical, efficient, and embedded into business operations . Key Responsibilities Conduct third-party due diligence assessments, including risk scoring, screening, verification, and documentation of third-party risk profiles Perform name screening against sanctions, PEP, adverse media, and related lists, and coordinate resolution of positive matches within established timelines Manage internal due diligence for medium and high-risk third parties, including desktop checks, review of ownership structures, beneficial owners, and site visits where feasible Coordinate external due diligence questionnaires for high-risk third parties, reviewing responses related to corporate structure, governance controls, human rights safeguards, ESG data, and compliance declarations Identify and escalate red flags, including sanctions exposure, bribery and corruption risk, modern slavery indicators, Zero Connections concerns, and geopolitical risks Maintain the Third-Party Risk Register, ensuring accurate documentation of risk scores, due diligence records, mitigation actions, and reassessment schedules Perform monthly compliance reconciliations , including sample-based quality checks of completed assessments, verification of scoring accuracy, and adherence to reassessment schedules Help identify training needs across the organization and support development and delivery of compliance training and awareness initiatives Contribute to process improvement and automation initiatives , making compliance processes more efficient and scalable What we expect you to have: Relevant level of education and certifications (i.e. CFE, CAMS etc.) Minimum of 4 years experience in performing due diligence, KYC assessments or investigations Experience working within a corporate compliance program Experience in data center, AI or relevant technology companies Good understanding of core compliance topics (e.g. COI, ABAC, third-party risk, sanctions etc. ) Familiarity with compliance and third party risk assessment methodologies Strong organizational and analytical skills Hands-on and proactive , Interested in building and improving processes, Structured and detail-oriented, but pragmatic Strong communication skills and ability to work cross-functionally Nice to Have Experience with compliance tools or workflow systems Experience with Dow Jones RiskCenter or similar third-party risk management platforms Exposure to automation or process improvement initiatives Experience in a fast-paced, international / listed , or tech environment What We Offer: Competitive salary and comprehensive benefits package. Opportunities for professional growth within Nebius. Flexible working arrangements. A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! 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; 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: Austin, London, or San Francisco (Hybrid) About the team Search engines spent two decades learning what the web is worth: which pages are fresh, which sources are trusted, what people actually use. That knowledge came from watching how humans moved through the web. Agents break that loop. AI models are trained and grounded on the web, but they have little visibility into what's changed, what's authoritative, or what's been fabricated. Site owners have it worse: AI crawlers already request content anywhere from a hundred to tens of thousands of times for every visitor they send back, and most have no idea how, or whether, they show up in AI answers. Both sides of the market are flying blind. Cloudflare sits in front of around 20% of the web and sees both sides of that exchange. Our team, the Agentic Internet team, is focused on making the web readable, discoverable, callable, and payable, built on open standards so no single company owns the rails. Signals & Data Products turns our network's view into products both sides can use: helping AI labs know what's fresh and trustworthy, and helping site owners see and shape how they show up in AI. Cloudflare believes in the open Internet, and we're in a position to help build the future where it thrives. Come help us make it happen! You can read more about some of our plans here and here . What you'll do Drive the strategy for Signals, our web intelligence feed, and shape where our data products go next Define what makes a signal worth paying for (freshness, provenance, trust, real-world usage) using data from Cloudflare's network Build for both sides of the market: data products for AI labs, and visibility for site owners into how AI models find, use, and cite them Explore what comes next, from knowledge graphs to measuring how sites show up in AI answers Deliver product specifications, prototypes, product positioning, and high-impact launches Partner with Engineering, Data Science, Research, and GTM to ship at high velocity Work with Partnerships and BD on data partnerships with AI labs and other large buyers Represent the product externally with users, customers, AI labs, developers, and more What we're looking for 7+ years as a technical PM, with experience shipping data, search, ranking, or ML products Deep data fluency: you can reason about data quality, coverage, bias, and pipelines Experience building or selling data products or APIs (licensing, pricing, enterprise contracts) is a strong plus A builder: you get things done, can move quickly, and prefer 'show' over 'tell' A strong communicator who is comfortable with ambiguity Team oriented: you'd rather get it right than be right How we work At Cloudflare, performance is about outcomes (what you did) and behaviors (how you did it). We value curiosity, humility, empathy, and doing the principled thing. Learn more about our values on our Careers page . Why this role You'll be building a new product category from a vantage point no one else has, on a fast-moving team breaking new ground. You can read about our early research here . Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $179,000 - $224,000 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: Lithuania; Bosnia & Herzogovina; Estonia; Spain; North Macedonia; Serbia; Slovakia; Malta; Moldova; Montenegro; Portugal; Italy; Latvia; Albania; United Kingdom; Czech Republic; Greece; Cyprus; Netherlands; Kosovo; Malaysia; Yerevan; Bulgaria; Slovenia; Romania; Poland; Bosnia and Herzegovina; Turkey; Czechia; Georgia; Croatia; South Africa Workplace: Remote [https://app.ashbyhq.com/api/images/user-content/b540b9e2-0673-4d2d-91fd-e293658f4f6a/d5db35d1-81f0-4140-b61c-f3fb1004c7d1/job%20ad%20visual.png] Please be informed that Foxelli Group hires exclusively in-house and doesn't work with any external recruitment agencies. Any company or individual claiming to recruit on behalf of Foxelli Group is not affiliated with us. At Foxelli, we’re building more than e-commerce brands - we’re building a tribe of thoughtful humans: AI enthusiasts, curious builders, and ambitious minds who care about doing meaningful work together. Ten years in, our D2C brands reach millions and generate over $20M annually. Our focus stays simple: create products customers love and a team that actually enjoys building them. If you love to learn, experiment, think boldly, make decisions, and build things that matter -you’ll feel at home with us. THE ROLE We’re on the hunt for a Marketing Manager who can think big, move fast, and actually make things happen. This is not a “just run ads and wait” role. You will coordinate all the marketing initiatives, create new marketing angles, offers, and landing pages, manage the creative department, and brief Facebook ads. This is a full-stack marketing playground where you own projects from the first spark of an idea to seeing real sales roll in. You’ll be the glue between marketing, design, and development - turning customer insights into landing pages, funnels, and campaigns that people actually want to click, read, and buy from. If you love: - mixing strategy with execution - testing ideas - improving funnels - and making pretty things convert …and you’ve played with AI tools to move faster, build smarter, or test better ideas, you might be our person 👀 🚀 WHAT YOU’LL BE DOING 🧠 STRATEGY & GROWTH STUFF - Build and run marketing strategies that support real business goals (not just vibes). - Dig into customer research and market trends to find new growth opportunities. - Analyze what’s working (and what’s not) and turn data into smart next steps. - Come up with fresh ideas to scale our funnels and campaigns. - Manage marketing projects from idea → launch → improvement. ✍️ CREATIVE & CONTENT MAGIC - Write copy for ads, landing pages, and funnels that sounds human and sells. - Review design work and give feedback so it looks on-brand and converts. - Guide the creation and optimization of ad creatives with our design team. 🌐 LANDING PAGES & WEBSITE OPTIMIZATION - QA landing pages like a detective: checking UX, flow, and functionality. - Run A/B tests to improve conversion rates. - Work closely with developers to roll out website updates and improvements. 🤝 TEAM GLUE (CROSS-FUNCTIONAL HERO) - Be the bridge between marketing, design, and development. - Create clear briefs so everyone knows what to build and why. - Track project progress and keep stakeholders in the loop. 🔍 CUSTOMER RESEARCH & INSIGHTS - Collect and analyze customer feedback and data. - Identify pain points and opportunities for improvement. - Use insights to scale sales and improve acquisition. 🤖 AI TOOLS & SMARTER EXECUTION - Bring AI into our workflow as a competitive edge. Use GPT, image/video generators, and automation platforms to compress timelines, run more experiments, and beat our own ideas. 🧩 WHAT YOU BRING You’re probably someone who: - Has experience as a Marketing Manager or full-stack marketer in e-commerce. - Have hands-on experience building with AI tools - vibe coding, workflow automations, etc. - Understands digital marketing and performance marketing deeply. - Can write clear, persuasive, not-boring copy. - Knows CRO and website optimization. - Loves looking at data and asking: “What actually sells?” - Is organized and good at managing projects. - Has worked with designers and developers before. - Can manage your own time and work remotely. - Cares about customers and research. - Gets excited about e-commerce growth. ✨ BONUS POINTS IF YOU: - Have used marketing automation tools. - Know your way around heatmaps, ad managers, and analytics tools. - Enjoy experimenting, testing, and improving things nonstop. 🦊 WHY FOXELLI? We’re not into boring corporate marketing. We like: - smart ideas - quirky personality - strong execution - and people who take ownership You’ll have space to think, test, build, and grow with us - and actually see the impact of your work. THE RECRUITMENT PROCESS Apply - A simple form that helps us know who’s stepping into our world. Ribbon AI Interview - Ribbon is a short, guided video step that helps us understand your thinking style in a calm, private space. Interview -A conversation with your manager to feel the work chemistry, get to know each other, and explore what we could build together. FIXED SERVICE FEE €2,000 - €2,800 after taxes, depending on your skills, competencies, and experience. ❕Please note that this role is based on a contract/freelance agreement. PERKS & BENEFITS - Full flexibility with your schedule in a fully remote setting, while Hubstaff ensures transparency and fairness. - Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check. - A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously. - Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested. - A budget for your home office setup so you’re comfortable working how you like and where you like. - Strong company culture and a network of unique individuals that celebrate you. ELIGIBILITY & LOCATION REQUIREMENTS ❕This role is 100% remote. - Our tribe works primarily in the Eastern European Time Zone (EET — UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported. - For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours — it keeps collaboration smooth and communication easy. (This doesn’t apply to part-time roles.) Currently, we are hiring in Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa.

Location: San Francisco, CA | New York City, NY 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 Platform Intelligence turns each new Claude model's abilities into API features that developers can build on. Our goal is to make the full intelligence of each model available through the API. We own the capabilities that shape what Claude can do for developers: tool use, built-in tools such as web search and code execution, thinking controls, structured outputs, and the memory, files, and skills APIs. We also run the API side of every Claude model launch, including its safety features and controls. That means getting the API ready for each new model, coordinating with research, safeguards, product, and cloud partners, and making sure the model, its features, the SDKs, and the docs all ship together on launch day. The work sits where research meets product. We work with new models before they are public. When a model gains a new ability, we work out what it should look like as an API, build it, and ship it to developers on our own platform and on cloud platforms. Those decisions shape how developers first use each model. We also own API versioning and the evals that tell us a capability works in production. What you'll do You'll lead the design, build, and operation of API capabilities used by developers around the world. You'll work with research to understand what a new model can do and turn that into an interface that is simple, durable, and hard to misuse. You'll lead the API side of new model launches. You'll plan the work, track readiness across teams, resolve the issues that come up late, and see the launch through on the day. Between launches, you'll make the next one faster and safer. You'll set technical direction for work that spans several teams, write clear design proposals, review API designs from other teams, and mentor engineers on the team. Representative projects Lead API readiness for a Claude model launch, so that every feature works on day one across our API, SDKs, docs, and cloud partners Take a new model ability from research prototype to public API feature, from interface design to production rollout Build and operate tools such as web search and code execution under real traffic Automate the manual parts of a model launch Build the evals that catch a capability regression before a launch You might be a good fit if you: Have led technical projects that spanned several teams, from design through launch and operation Have designed and operated production distributed systems where correctness, latency, and availability all matter Have strong product sense and care about API design and developer experience Make sound technical decisions with incomplete information, as models and priorities change close to a launch Explain tradeoffs clearly to research, product, and go-to-market partners, including non-engineers Make the engineers around you better through design review and mentoring Use AI tools as a regular part of how you design, build, and review software Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI Strong candidates may also have: Building public APIs, SDKs, or developer platforms Working with large language models, including tool use, agents, or evals Running launches or migrations with fixed deadlines and many dependent teams Building tools for agents, such as search or code execution Storage, memory, or context systems at scale Integrating with cloud platforms such as AWS, Google Cloud, and Azure Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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: $405,000 — $485,000 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: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior AI Engineer, you'll own agents end to end within a problem area, from the first prototype to measured performance in production. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on: Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently. Claims decision support: products that help claims professionals make better, faster decisions on injury claims. Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on. You'll build the AI agents behind our products. They work with complex documents and claim data, call tools, and support claims experts in their daily work. You'll own the orchestration, retrieval, evaluations, and guardrails that make them safe to rely on, and you'll write the production code to ship them. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Design and build LLM-powered agents and workflows: orchestration, tool use, retrieval, structured extraction, and human-in-the-loop review Build evaluations with data labelers and subject matter experts, and run them on every change Make agents production-grade: guardrails, observability, cost and latency, and careful handling of sensitive health data What success looks like: In your first month, you've shipped a measured improvement to an existing agent. By six months, an agent you built is in production with customers, backed by evaluation results. Requirements: Typically 5+ years of professional software or ML engineering experience, including meaningful recent work with LLMs Strong production engineering skills in Python, including API services, and comfort working in TypeScript At least a year of shipping LLM-powered products to real users, including retrieval (RAG, embeddings, vector search) and prompt engineering Experience designing evaluations for non-deterministic systems, and the habit of measuring before and after every change A quantitative mindset: you're comfortable with metrics, sampling, error analysis, and knowing when a result is real Real experience shipping faster with AI-assisted or agentic engineering tools, with examples you can walk us through Nice to have: Document understanding, OCR, or extraction from complex documents Experience fine-tuning LLMs or working with multimodal data Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: San Francisco, CA | New York City, NY 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 The Claude Partner Network is how consulting firms, systems integrators, and other services partners build practices around Claude. When a company chooses a partner, it wants to know which firms have done this work well, in its industry and for its use case. Specializations are how the program will give it: credentials showing that a partner has demonstrated expertise in a given domain area. As Partner Specializations Lead, you'll own this program end to end: the requirements a firm has to meet, the evidence review that decides who qualifies, the benefits that make a specialization worth earning, and the operating rhythm that keeps it credible year after year. Your job is to take an early framework into a structure that scales: opening it to thousands of partners, running evaluation cycles, and launching new specializations with cross-functional input. This role suits someone who likes owning a standard. You'll work with partner managers, operations, enablement, marketing, and industry teams who each hold a piece of the program, and with senior leaders at partner firms who care a great deal about the outcome. A specialization only means something if it's earned, so you'll need to be rigorous with evidence, consistent in your decisions, and firm and clear when the answer is no. Key responsibilities Own each specialization's requirements, evidence standards, and benefits, and keep them current as our products and the partner network change Run each evaluation cycle from invitation to decision: collect partner evidence, reconcile it against internal data, lead the review, and document every decision Make and defend qualification decisions, including borderline cases, and apply the standard consistently across firms of very different sizes Communicate outcomes to partner executives and their Anthropic account teams, including clear guidance for firms that did not qualify Open the program to the wider partner network, and recommend which specializations come next based on customer demand, partner readiness, and Anthropic's priorities Define the evidence standard for new specializations with Applied AI, Product, and industry go-to-market teams Coordinate the teams that deliver the program's benefits (marketing, the partner directory, field enablement, technical support) so that earning a specialization leads to something real Work with Partner Enablement so that partner learning paths and certifications support each specialization Build the operating rhythm: renewal, remediation periods, an appeals path, and the tracking and reporting that show whether the program is working Design the review process to scale, using Claude and automation so that routine steps don't depend on a person Write and maintain partner-facing guidance (program guide sections, FAQs, application materials), clear enough for a partner to know where it stands without asking us, and internal guidance for field teams Use program data to recommend where each requirement's bar should sit and when it should move, and bring those recommendations to partner leadership Minimum qualifications Experience owning an external-facing program with published requirements (a partner, channel, certification, accreditation, or similar program), including running at least one full evaluation, qualification, or renewal cycle Experience making qualification or eligibility decisions against a written standard and communicating those decisions, including declines, to senior external stakeholders Experience working with CRM or PRM data, such as Salesforce reports or a partner portal, as a regular part of your job Strong writing: able to produce clear program requirements, decision memos, and partner-facing guidance that need little editing Experience leading work to a fixed date across several teams you do not manage, such as operations, marketing, enablement, and field teams Work effectively where the process is still being built and the details are still changing Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience designing or running a partner competency, specialization, or credential program at a technology company Experience with services partners (systems integrators, consultancies) from either side: managing them at a vendor, or building a practice around a vendor's technology at a firm, and an understanding of how those firms decide where to invest their people SQL or BI-tool skills sufficient to pull and check your own program data Experience taking a program from its first launch to a repeatable operating cycle Experience launching a program publicly with marketing and communications partners Enough technical depth to judge whether a partner's evidence of a software or AI deployment holds up Experience working with customers in regulated or specialized industries, such as financial services, healthcare, or the public sector Experience designing partner benefits or incentives, and an understanding of how they change partner behavior Hands-on experience building AI workflows with Claude or similar tools, and curiosity about how AI changes professional services delivery 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: $300,000 — $365,000 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: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys. The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications. The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function. This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems. What You’ll Be Doing Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks. Assess model conceptual soundness, intended use, assumptions, and limitations. Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review. Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise. Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions. Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure. Build and continuously mature the fraud model validation capability, standards, and workflows within MRM. What We Look For In You Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience. 10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems. Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners. Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks. Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations. Nice to Haves Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist. Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications. Perks & Benefits Competitive total compensation package Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $200,000 - $300,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys. The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications. The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function. This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems. What You’ll Be Doing Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks. Assess model conceptual soundness, intended use, assumptions, and limitations. Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review. Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise. Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions. Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure. Build and continuously mature the fraud model validation capability, standards, and workflows within MRM. What We Look For In You Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience. 10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems. Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners. Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks. Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations. Nice to Haves Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist. Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications. Perks & Benefits Competitive total compensation package Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $200,000 - $300,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote: United States; San Francisco HQ; SF or Remote (US/Canada); Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Most infrastructure engineers never get to build a cloud from the metal up. At Render, you will. Developers and businesses around the world run their apps on Render, and we are building our own bare metal footprint to give them better performance and economics. You'll help take our first colocation site from an empty cage to production workloads, then scale that foundation as we expand our physical presence to thousands of hosts over the coming years. You'll join a small, experienced team with real ownership. You'll partner closely with network engineering and our Kubernetes platform team, and the decisions you make now will become the template for every site that follows. WHAT YOU'LL DO - Take our first colocation site from empty cage to production workloads, then scale what you build as we grow to more sites and thousands of hosts - Design how servers go from the loading dock to production with minimal human touch: netboot, imaging, BMC-driven discovery, and host identity - Partner with network engineering on what the fleet needs from the network, from out-of-band management to production connectivity - Build the interface our Kubernetes platform team uses to request capacity, see host health, and coordinate maintenance, so consuming bare metal feels as easy as consuming cloud - Own the fleet's source of truth for hardware, software, and the physical environment - Automate the full server lifecycle, from burn-in and acceptance testing through remediation, staged firmware rollout, and RMA - Build automation like a production system, with guardrails on destructive actions and designs that survive site-level failure - Shape the technical and operational direction of our bare metal platform, from build-vs-buy decisions to how we operate thousands of hosts, and help hire the team that runs it WHAT WE'RE LOOKING FOR - Hands-on experience building and operating automation for bare metal fleets in datacenters or colocation - Both sides of the work: time with physical hardware and colo providers, and modern, software-driven fleet management - Strong Go or Python, and experience designing systems with reconciliation loops and idempotent, failure-tolerant actions - Depth below the abstraction: you know what your tools are doing under the hood and can debug them when they fail - Experience operating through real failures, such as bad hardware batches, flapping BMCs, or a rollout you had to halt - Deep Linux knowledge and solid networking fundamentals (DHCP, PXE, DNS, BGP) - Working knowledge of Kubernetes, enough to design the interface between the fleet and the clusters that run on it - Clear communication, comfort with ambiguity, and the willingness to push back on a plan when something doesn't add up NICE-TO-HAVES - Operating bare metal fleets at a scale of thousands of hosts - Experience on a bare metal or datacenter build-out from its early days - Running a hybrid environment, or moving workloads between public cloud and owned hardware - DCIM/IPAM tools such as NetBox or Nautobot, or provisioning stacks such as Ironic/Metal3, Tinkerbell, or MAAS - Building reconcilers or state machines for physical infrastructure - Hardware depth: component diagnostics, burn-in tooling, firmware, or Redfish and IPMI at fleet scale - Building internal platforms or APIs used by other infrastructure teams - Based near our colocation sites, or able to visit them regularly If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Singapore 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 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 As the founding leader of Applied AI Solutions Architecture in Singapore, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across ASEAN enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. You'll be responsible for building and leading the ASEAN Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across ASEAN. In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across ASEAN incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities Build and manage the foundational team of Applied AI professionals in ASEAN regions (Solutions Architects and Product Engineers) providing both technical guidance and career development Set goals and reviews for your team, promoting growth and output Work with a handful of highest-value enterprise customers across ASEAN on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for ASEAN enterprise customers Contribute to thought leadership through conference presentations, webinars, and technical content creation within the ASEAN market Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes Travel regularly to customer sites across ASEAN for executive-level sessions, technical workshops, and building relationships Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities Stay current with emerging AI/ML trends and competitive landscape in the ASEAN enterprise tech sector, including the region's highly regulated industries (financial services, government, resources) You may be a good fit if you have 15+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role 5+ years of technical go-to-market management experience, specifically managing pre-sales teams Experience working with ASEAN enterprise customers and understanding local business culture, procurement processes, and decision-making dynamics across ASEAN Familiarity with the ASEAN regulatory landscape (e.g., Singapore Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments Experience with the unique technical requirements and technical procurement process of enterprise tech companies Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment Have excellent communication, collaboration, and coaching abilities Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems Make ambiguous problems clear and identify core principles that can translate across scenarios Have a passion for making powerful technology safe and societally beneficial Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks Stay up-to-date and informed by taking an active interest in emerging research and industry trends Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies 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: Bengaluru, India We are looking for a Senior Data QE Engineer with solid experience in ETL testing and data validation, and strong SQL skills. You will design and run data quality tests, validate pipelines end to end, reconcile source and analytical data, and give engineering and business teams evidence for release decisions. You will also automate comparisons in Python, work with Airflow pipeline runs, and use AWS and Grafana to observe pipeline health. You will use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and you will review generated output before it is used. This position is intended for Hyderabad-based candidates who are available to work from the office. The client runs a large application landscape and the analytical datasets behind it. Data moves from PostgreSQL sources on AWS into Snowflake through orchestrated pipelines. Quality for that data is part of delivery: test design, checks on movement and transformation, quality metrics, and practical help when data has to be corrected. Data QE engineers own that hands-on work for data moving from source systems into analytical datasets, from test design through execution, investigation, and release-readiness reporting. Own data quality for data moving from source systems into analytical datasets, from test design through execution, investigation, and reporting. Design, implement, and execute data quality tests, and publish quality metrics and dashboards that producing and consuming groups can use. Validate pipelines end to end, covering movement, transformation, completeness, history, freshness, and compliance. Write reconciliation, drift, and quality SQL on Snowflake layered models (raw, history, silver, and gold), including slowly changing dimensions and merge behavior. Validate PostgreSQL sources with consistent snapshot counts and checks that logical replication kept the expected data. Use logical and physical data models and data contracts to assess downstream impact and set quality coverage. Automate data comparison and reconciliation in Python with pytest, and keep the checks in GitHub. Trigger pipeline runs in Airflow and read task results into the quality verdict. Investigate quality issues and support remediation with the groups that produce and consume the data. Design failover, outage, and volume tests and judge the evidence, including recovery time and recovery point. The platform team executes destructive and chaos tests. Run read-only checks in pre-production and production. Integrate quality checks with CI/CD on GitHub Actions or an equivalent tool. Use AWS and Grafana to observe pipeline health, including CloudWatch metrics, secrets metadata, and container platform state. Check classification, masking, and retention against the stated data rules. Track defects to closure in Jira and keep test cases and results in TestRail. Provide quality evidence, risks, and readiness input for releases. Use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and review generated output before it is used. Senior-level data quality engineering experience in ETL testing and data validation. Strong SQL and Snowflake data-modelling experience, including layered raw, history, silver, and gold models, reconciliation and drift queries, and slowly changing dimensions and merge behavior. Experience with logical and physical data models and with assessing the downstream impact of schema and data-contract changes. Experience validating PostgreSQL sources, including consistent snapshot counts and logical replication. Hands-on Python automation for data comparison and reconciliation, using pytest or an equivalent framework. Experience running and reading orchestrated pipelines in Airflow or an equivalent scheduler. Experience validating data movement, transformation, completeness, history, freshness, and compliance from source systems into analytical datasets. Experience diagnosing data quality issues and supporting remediation. Experience integrating data quality checks with CI/CD using GitHub Actions or equivalent tools. Experience with test management and defect tracking in TestRail and Jira. Working knowledge of AWS and Grafana for pipeline observation, including CloudWatch, secrets management, and container platforms. Experience designing resilience tests and judging evidence for failover, outage, volume, and recovery objectives. Working knowledge of data classification, masking, and retention checks. Experience producing data quality metrics, reports, and dashboards. Experience with risk-based testing in Agile or Kanban teams. Hands-on use of AI coding assistants (Cursor, GitHub Copilot, Claude Code, Codex, or equivalent) to author SQL, Python, and quality checks, with human review of generated output. Ability to communicate clearly with engineering and business stakeholders. Experience providing quality evidence, risks, and readiness input for releases. Experience observing Snowflake Openflow or NiFi connector state well enough to recognize a stalled load. Experience with custom cross-table data quality checks that publish results for dashboarding. Familiarity with GenAI, LLMs, and agentic workflows for maintaining data quality checks. Familiarity with RAG and MCP concepts for QE tooling and for generating test data. Knowledge of AI-driven test optimization and coverage analytics (SeaLights or equivalent). Experience with service virtualization using WireMock or an equivalent tool, so checks can run when a dependency is unavailable. Experience specifying and reviewing dbt tests. Developers author those tests.