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Location: Boston, MA; Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY; Washington, DC 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 Endpoint team (Client Platform Engineering) manages the devices Anthropic’s people work on, plus the infrastructure underneath them. We treat the fleet as a distributed platform, not a collection of devices, and configuration ships as code through pull requests, CI, staging, and a canary group. Today the fleet is mostly macOS, with a growing mobile footprint. Anthropic also works with vendor and business process outsourcing (BPO) partners whose teams need access to Anthropic systems. Those programs are growing, in more countries and with more vendors. Anthropic-owned Chromebooks issued to vendor staff are becoming the default device for vendor teams. This role exists to make ChromeOS a supported platform with a dedicated owner. You will own ChromeOS end to end, from how devices are bought and enrolled to how they are locked down, monitored, and retired, and help bring Android in as a second platform. The team is deliberately lean and runs with high autonomy. You’ll define what ChromeOS looks like at Anthropic and own the platform decisions that get it there. Responsibilities Own ChromeOS as a platform at Anthropic: device standards, Google Admin console and Chrome Enterprise setup, organizational unit design, and policy Manage ChromeOS policy as code through the Chrome Policy API, GAM, and Terraform, in the team's config-as-code pipeline, so changes are reviewed, tested, and progressively rolled out like the rest of the fleet Build zero touch enrollment through resellers, so a Chromebook arrives enrolled and works the first time in every country our vendor partners work from Work with IT Operations and procurement partners on buying and shipping devices internationally, including regions our current partners don’t reach Design device models for vendor teams (kiosk, managed guest sessions, shared devices, and assigned devices) and pick the right one for each program Lock devices down to what the work needs: copy and paste, downloads, printing, USB, and app and extension controls Own the device lifecycle for vendor fleets, from enrollment to wipe, lock, and retrieval when an engagement ends Feed ChromeOS device data into our fleet telemetry, tracking which devices are checking in, OS version, and drift between expected and actual state Partner with Corporate Security on hardware standards (such as Verified Access attestation and minimum AUE date), device trust signals, and access decisions Work with Security on the contractor access model and on keeping Anthropic data off vendor devices Run data loss controls through Chrome Enterprise Premium Work with Security on the vendor identity model: which accounts vendor staff use and in which tenant Support Android as a second platform, working with the corporate mobile program on Android Enterprise and zero-touch enrollment Write the runbooks IT Operations and vendor partners use to stand up a new program You may be a good fit if you Have owned ChromeOS as a platform for a fleet of thousands of devices Know the Google Admin console and Chrome Enterprise well: OU design, device and user policy, enrollment, and reporting Have automated ChromeOS policy through the Chrome Policy API or GAM Have run kiosk, managed guest, or shared device programs for frontline, contact center, or outsourced teams Have set up zero touch enrollment with resellers and shipped devices across several countries Have worked with Android device management and can hold your own in a mixed fleet Excel at ambiguous problems that touch several teams at once Communicate technical concepts clearly to any audience, including vendor partners View IT Engineering as requiring product engineering rigor Write clear documentation as a natural part of your workflow Strong candidates may also Manage device configuration as code (pull requests, CI, staged rollout) instead of clicking in consoles Have managed ChromeOS alongside macOS or mobile fleets Have used VDI or browser-based access to keep data off the device for outsourced teams Have supported BPO or vendor programs through fast growth into new regions Have built automated, progressive rollout systems with promotion gated on telemetry Have used LLMs to automate operational work, or are excited to make Claude a teammate Technical Skills Python and shell scripting ChromeOS management through the Google Admin console and Chrome Enterprise Google Admin SDK, Chrome Policy API, and GAM for automating policy and reporting Android Enterprise management (working knowledge) Querying live device state at fleet scale GitOps and CI for configuration management Endpoint security fundamentals Deadline to apply: None. Applications will be received on a rolling basis. 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: $325,000 — $360,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 vision for Claude Marketplace is to create an ecosystem flywheel, connecting builders and buyers. We're hiring a Product Manager to own the Marketplace as a product, for the partners who sell on it and the customers who buy through it. You'll work closely with the Marketplace team, which owns the partner and customer relationships as well as the commercial motion, and build on systems owned by other product and engineering teams. You'll have a lot of room to define and build the experience fitting for an AI native world. Key responsibilities Own the Marketplace product end to end for partners and customers, from onboarding and listing through purchase and billing Design the commercial workflows behind the Marketplace from first principles, so they scale and meet partners' and customers' finance, audit and compliance requirements Shape the business strategy and commercial incentives with Business Development, Finance and Legal, and build them into the product Be the product voice partners hear from, and turn signals from partners, customers and the field into a roadmap Define the Marketplace's success metrics and how they're measured Minimum qualifications Have owned a product end to end, including the operational workflows behind it, and were the person accountable for its outcomes Have built with or shipped on top of large language models, and have used them to make a product experience better Have led cross-functional work where most of the teams you depended on didn't report to you, and earned their trust quickly Can present to executives at partner companies and represent Anthropic well in front of them Write clearly enough that an engineer, an executive and an external partner can each see the tradeoff you're making Care about Anthropic's mission, and specifically about building an ecosystem where the companies that build on Claude grow along with it Preferred qualifications 8+ years of product management experience Played an active role in a marketplace, app store or partner ecosystem, on either the platform or the partner side Taken a product from zero to one, where the users, the product and the economics all had to be worked out at once Go-to-market instincts: how co-sell motions, partner programs and platform economics work in enterprise software Experience/familiarity with high growth AI native companies, including their business models and growth vectors Location San Francisco, New York City or Seattle. 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: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Washington, DC 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 Program Manager on Anthropic's Safeguards team, you'll help make sure we meet our obligations under AI safety laws and regulations around the world. Working closely with Legal, you'll turn new and emerging requirements into programs, controls, and deliverables. This requires a detailed understanding of how our models and products are built, evaluated and safeguarded. Your work will support Anthropic's commitment to developing AI safely and beneficially as the regulatory landscape evolves. The responsibilities listed below are some examples of areas that someone in this role could own, depending on their experience and the team's needs. Key responsibilities Manage and drive complex safety initiatives that identify, assess and mitigate risks from frontier models, from initial risk assessment through to the deployment of safeguards Partner with the Safeguards incident management team to strengthen incident response and reporting processes, including the policies that determine how incidents are escalated and when they must be reported externally Conduct post-incident reviews, and work with the subject matter experts for each harm area to incorporate the findings into model and product safeguards Own the safety strategy and deliverables for AI systems used in high-risk settings, including risk assessments, technical documentation, and the information that deploying customers need to use those systems safely Define the safety and risk controls that our models and products require, ensure that each control has an owner and a documented procedure, and confirm that it operates as intended Partner closely with the owners of each risk area to develop a deep understanding of AI risks, safety evaluations and mitigation strategies, and use that understanding to prepare safety documentation, transparency reports and regulatory submissions Minimum qualifications Experience in trust and safety, AI safety or a related field, including designing and implementing safeguards against misuse or harm Understanding of AI safety, including the principal risk areas and the evaluations and safeguards used to address them, well enough to engage substantively with the technical experts responsible for them Experience running risk assessment or harm mitigation programs from identification through to resolution Experience translating policy or regulatory requirements into practical operational processes Ability to drive complex, cross-functional programs to completion in a fast-moving environment, including with technical teams outside your own discipline Clear written communication, including documentation for technical, legal and external audiences Strong attention to detail, and the judgment to recognize when work is at risk and raise it early Commitment to the safe development and deployment of AI Preferred qualifications Experience with AI-specific regulation, such as the EU AI Act Experience leading incident response programs, including escalation paths and external reporting obligations Experience preparing safety documentation, transparency reports or regulatory submissions Experience working with technical and research teams on safety evaluations 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: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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. Sales Manager, Enterprise Industries As a Sales Manager at Anthropic, you'll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals with leading enterprises. You'll leverage your leadership and consultative sales expertise in the Industries sector to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you'll help Industries customers embed and deploy AI while uncovering its full range of capabilities across their business. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers and ensure differentiated value across the Industries landscape. The ideal candidate will have a passion for developing people, identifying market opportunities within Industries, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Build and lead a high-performing team of Enterprise Account Executives focused on Industries, providing coaching, mentorship, and guidance to drive team success Develop and implement sales strategies tailored to Industries procurement cycles and budgeting processes to meet and exceed team revenue quotas Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with specific focus on Industries buying cycles and decision-making processes Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for industry-specific applications Enable your team to have credible technical conversations about AI applications in Industries while maintaining appropriate guardrails Build strong partnerships across the organization to drive strategic initiatives within the Industries sector Identify and execute on new market opportunities and use cases for Anthropic's AI solutions across business units, research and development centers, and corporate functions Help your team navigate complex enterprise stakeholder ecosystems including executives, business leaders, IT departments, and procurement offices to build consensus Gather and synthesize customer feedback to inform product direction and enhance customer experience for Industries Build and continuously refine the Industries sales methodology by incorporating learnings into playbooks and best practices You may be a good fit if you have: 15+ years of enterprise sales experience in Industries technology, preferably driving adoption of SaaS or emerging technologies 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on Industries in France Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving Industries Strong technical acumen and ability to understand complex AI solutions and their applications in Industries, with experience enabling teams to have credible technical conversations with customer stakeholders Track record of successful partnership with technical teams throughout the customer journey within large enterprises Deep understanding of Industries buying cycles, procurement frameworks, and key pain points Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives Experience managing complex enterprise sales cycles and helping AEs secure strategic deals Strong operational rigor in pipeline management, forecasting, and sales metrics specific to Industries sales cycles Excellent communication skills and ability to build relationships across all levels, from technical and business teams to senior executives in Industries Strategic approach to market analysis combined with tactical excellence in execution Passion for AI technology and commitment to its safe, responsible development Sales Manager, Enterprise Industries En tant que Sales Manager chez Anthropic, vous dirigerez une équipe d'Enterprise Account Executives qui favorise l'adoption d'une IA de pointe et sûre en concluant des contrats stratégiques avec des entreprises de premier plan. Vous mettrez à profit votre leadership et votre expertise de la vente consultative dans le secteur Industries pour accélérer la croissance du chiffre d'affaires, tout en développant une équipe d'AE très performante. En étroite collaboration avec les équipes Applied AI Engineering et Produit, vous aiderez les clients Industries à intégrer et à déployer l'IA, tout en leur faisant découvrir l'étendue de ses capacités dans l'ensemble de leurs activités. En collaboration avec les équipes GTM et Marketing, vous affinerez en continu notre proposition de valeur, notre méthodologie de vente et notre positionnement, afin qu'ils trouvent un écho auprès des instances décisionnelles des grandes entreprises et apportent une valeur différenciée sur l'ensemble du secteur Industries. Le profil idéal a à cœur de faire grandir ses équipes, de repérer les opportunités de marché au sein du secteur Industries et de mettre en œuvre les stratégies qui permettent de les saisir. En pilotant le déploiement des produits émergents d'Anthropic, vous aiderez les entreprises à acquérir de nouvelles capacités tout en contribuant au développement éthique de l'IA. Responsabilités : Constituer et diriger une équipe très performante d'Enterprise Account Executives dédiée au secteur Industries, en lui apportant coaching, mentorat et accompagnement pour assurer sa réussite Élaborer et mettre en œuvre des stratégies commerciales adaptées aux cycles d'achat et aux processus budgétaires du secteur Industries, afin d'atteindre et de dépasser les objectifs de chiffre d'affaires de l'équipe Établir et tenir à jour des prévisions fiables, assurer la gestion du pipeline et le reporting, tout en garantissant l'intégrité des données dans les systèmes CRM Travailler avec l'équipe Enablement pour concevoir des programmes de formation et des ressources qui accélèrent la montée en compétence et l'efficacité des AE, avec une attention particulière aux cycles d'achat et aux processus de décision du secteur Industries Collaborer étroitement avec les équipes Applied AI Engineering pour démontrer les capacités techniques en avant-vente et optimiser les solutions en après-vente pour les applications propres à chaque secteur Permettre à votre équipe de mener des échanges techniques crédibles sur les applications de l'IA dans le secteur Industries, dans le respect des garde-fous appropriés Nouer des partenariats solides au sein de l'organisation pour faire avancer les initiatives stratégiques du secteur Industries Identifier et concrétiser de nouvelles opportunités de marché et de nouveaux cas d'usage pour les solutions d'IA d'Anthropic au sein des directions métiers, des centres de recherche et développement et des fonctions support Aider votre équipe à naviguer dans des écosystèmes complexes de parties prenantes au sein des grandes entreprises (direction générale, directions métiers, DSI et services achats) afin de construire un consensus Recueillir et synthétiser les retours des clients pour éclairer l'orientation produit et améliorer l'expérience client du secteur Industries Construire et affiner en continu la méthodologie de vente Industries en intégrant les enseignements dans des playbooks et des bonnes pratiques Ce poste pourrait vous correspondre si vous avez : Au moins 15 ans d'expérience en vente aux grands comptes dans les technologies pour le secteur Industries, de préférence dans l'adoption de solutions SaaS ou de technologies émergentes Au moins 5 ans d'expérience en management commercial, dont idéalement 3 ans ou plus à la tête d'équipes du segment Enterprise dédiées au secteur Industries en France Une expérience confirmée de la constitution et de la direction d'équipes commerciales très performantes vendant aux grandes entreprises, avec des réussites avérées dans le coaching et le développement des AE Une expérience de la mise en place et du déploiement à grande échelle de processus, d'outils et de méthodologies de vente dans des organisations en forte croissance au service du secteur Industries Une solide culture technique et la capacité à comprendre des solutions d'IA complexes et leurs applications dans le secteur Industries, ainsi que l'habitude de préparer vos équipes à mener des échanges techniques crédibles avec les parties prenantes côté client Une expérience réussie de la collaboration avec les équipes techniques tout au long du parcours client au sein de grandes entreprises Une connaissance approfondie des cycles d'achat, des cadres de passation des marchés et des principales problématiques du secteur Industries Une capacité avérée à piloter des cycles de vente complexes impliquant de multiples interlocuteurs et des parties prenantes variées, et à mener des initiatives transverses Une expérience de la gestion de cycles de vente complexes aux grands comptes et de l'accompagnement des AE dans la conclusion de contrats stratégiques Une grande rigueur opérationnelle dans la gestion du pipeline, les prévisions et les indicateurs commerciaux propres aux cycles de vente du secteur Industries D'excellentes compétences en communication et la capacité à nouer des relations à tous les niveaux, des équipes techniques et métiers jusqu'aux membres de la direction du secteur Industries Une approche stratégique de l'analyse de marché, alliée à une exécution tactique irréprochable Un intérêt marqué pour les technologies d'IA et un engagement en faveur de leur développement sûr et responsable Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, United Kingdom Workplace: onsite We’re looking for passionate, forward-thinking Lecturers in Business and/ or Hospitality Management to join our growing academic team in January 2027. If you’re an inspiring educator who can connect academic theory with real-world business or hospitality practice — and you’re committed to inclusive, hands-on learning — this is your opportunity to shape the next generation of future leaders at a dynamic, industry-connected college. For this role it is essential that you hold a recognised teaching qualificafication such as a PGCert or equivalent About the Programmes At London College of Contemporary Arts (LCCA), we deliver innovative programmes designed for diverse learners—from those beginning their journey at Level 3 to those preparing for management and leadership roles. The Foundation School is one of the largest and most vibrant departments in the College. We offer a variety of Foundation Degrees, as well as providing critical Level 3 entry point for students progressing into a wide range of degrees across Social Sciences and the Creative Arts. We are currently recruiting for lecturers to teach across: Foundation Degree (FdA) Applied Business Management, Foundation Degree (FdA) Hospitality and Event Management, and Level 3 Foundation Year Business and Hospitality Pathways: As part of the Global University Systems (GUS) network and in partnership with the University for the Creative Arts (UCA), LCCA blends theory with real-world experience through experiential learning, live briefs, and industry collaboration. The Role You’ll play a vital role in shaping learning experiences across Foundation Year and Foundation Degree programmes — inspiring students through applied, inclusive, and reflective teaching. Key Responsibilities: Deliver engaging, high-quality teaching across Foundation and/or FdA Business, Hospitality and Academic Skills modules. Provide academic and pastoral support that encourages progression and success. Use innovative, experiential learning methods to make teaching relevant and industry informed. Collaborate with colleagues and industry partners to enhance curriculum and employability opportunities. Participate in scholarly activity, professional practice, or research to maintain subject expertise. Embed digital learning and inclusive approaches to support diverse learners. About You You’re a dynamic academic or industry professional who thrives on helping students grow in confidence and capability. You bring both subject expertise and a genuine passion for teaching through doing. Essential: A relevant BA and postgraduate qualification (or equivalent professional experience) in Business, Hospitality, or a related discipline. A recognised teaching qualification (PGCert or equivalent). Experience teaching at levels 3, 4, and 5. Experience teaching or supporting students from a widening participation background. Demonstrated commitment to inclusive and experiential pedagogy. Excellent communication, organisation, and teamwork skills. Confidence using digital learning platforms and tools. Desirable: PhD or equivalent professional standing. Fellowship (or working towards Fellowship) of the Higher Education Academy (HEA). Strong professional or industry networks that enhance student employability. Why Join LCCA? Thrive in a creative, diverse, and collaborative teaching community. Shape your teaching schedule — weekday, evening, or weekend delivery. Access support for professional development, research, and enterprise activity. Empower students with the skills, confidence, and creativity to thrive in business and hospitality industries. How to Apply If you’re passionate about progressive, hands-on education and ready to empower the next generation of business leaders, we’d love to hear from you. Please include your subject specialisms and preferred teaching availability (day/evening/weekend) in your application. LCCA is committed to equality, diversity and inclusion and welcomes applications from all backgrounds. We are committed to ensuring our workforce is reflective of our diverse student population, striving to increase the representation of age, disability, gender identity and expression, religion, race, sex, sexual orientation, and socio-economic background of our employees. We’re also committed to providing adjustments to those who may require support with the recruitment process - please contact the LCCA Talent Acquisition Team collegedivisionrecruitment@gus.global Please note: For this opportunity, you must be able to prove you have the right to work in the UK - if in doubt please visit the following link Employers' right to work checklist - GOV.UK ( www.gov.uk ). Please note we are not

Location: Paris, France About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. À propos du poste En tant que leader de deuxième niveau pour l’équipe Applied AI Industries en Europe du Sud et au Moyen-Orient chez Anthropic, vous piloterez l’adoption d’une IA de frontier en partenariat avec le reste de l’organisation de mise sur le marché. Nos clients Industries en France, Ibérie et Italie incluent de nombreuses plus grandes entreprises de la région dans les services financiers, santé et sciences de la vie, fabrication, télécommunications, commerce de détail, énergie et autres secteurs. Vous mettrez à profit votre expérience de construction et de direction d’équipes de vente technique pour piloter une transformation IA positive qui répond aux besoins métier de nos clients, satisfait à leurs exigences techniques et réglementaires, et offre un haut degré de fiabilité et de sécurité. Vous serez responsable de la direction et de la croissance de l’équipe d’architectes de solutions qui partenaire avec les directrices et directeurs de compte pour aider les entreprises à adopter et déployer les produits d’Anthropic, notamment Claude Cowork, Claude Code et la Plateforme de Développement Claude (notre API). Cela inclura l’utilisation de vos compétences techniques et votre expérience de vente consultative pour recruter d’excellentes personnes en première ligne de management et contributeurs individuels, établir des processus pour évoluer votre équipe, et représenter Anthropic directement dans les engagements clients stratégiques. Votre équipe couvre plusieurs pays et secteurs à la fois, vous serez donc responsable de la réflexion stratégique sur les comptes d’industrie complexes et de l’identification et du déploiement de solutions qui résonnent dans chaque marché, avec sa propre langue, sa culture métier et son contexte réglementaire. Responsabilités Recruter, manager et guider une équipe de managers de première ligne qui construiront à leur tour des équipes d’Applied AI Architects (H/F) de pré-vente en France, Ibérie et Italie Définir les objectifs de votre équipe en collaboration avec le leadership commercial et établir les attentes de performance de base sur votre équipe Agir en tant que sponsor technique et exécutif pour les clients stratégiques de haute valeur dans la région et les conseiller sur leurs stratégies globales d’adoption de l’IA ou la délimitation des cas d’usage et l’exécution de pilotes Collaborer étroitement avec le leadership commercial d’Europe du Sud (couvrant également le Moyen-Orient et l’Afrique) pour construire des stratégies pour les comptes d’industrie complexes et identifier de nouvelles façons de piloter l’adoption des produits Anthropic dans des secteurs verticaux spécifiques ou des cas d’usage horizontaux Aider les clients à naviguer dans les exigences réglementaires locales et européennes (par exemple, la Loi sur l’IA de l’UE, le RGPD, DORA et les attentes de résidence des données) et adapter la façon dont votre équipe s’engage à la culture métier de chaque marché Travailler avec des équipes interfonctionnelles comme le produit et l’ingénierie pour assurer qu’Anthropic priorise les commentaires des clients ou résout les obstacles à l’adoption dans la région Voyager régulièrement en Europe du Sud pour les clients ou conférences pour des sessions de haut niveau, des ateliers techniques et la construction de relations Établir une vision commune pour créer des solutions qui permettent une IA bénéfique et sûre dans les produits technologiques Contribuer à la pensée stratégique par des présentations en conférences, des webinaires et la création de contenu technique Rester au courant des tendances émergentes en IA et du paysage concurrentiel Ce profil est un bon ajustement si vous : Avez 7+ ans d’expérience en gestion de pré-vente technique, incluant un leadership de deuxième niveau ou supérieur (direction de managers) Avez vendu des produits techniques complexes aux grandes entreprises en France, Ibérie, Italie, Moyen-Orient et Afrique Avez travaillé dans plusieurs secteurs, tels que services financiers, santé et sciences de la vie, fabrication, télécommunications, commerce de détail et énergie Comprenez les différences culturelles entre les marchés d’Europe du Sud et le contexte réglementaire dans lequel opèrent vos clients, et adaptez votre approche à chacun Pensez de façon hautement stratégique aux comptes d’industrie complexes et transformez cette réflexion en plans que votre équipe et vos homologues commerciaux peuvent exécuter Avez une profonde maîtrise technique des cas d’usage IA en entreprise, des intégrations d’API et des déploiements LLM Prospérez dans la construction et l’évolution rapide d’équipes et de processus dans des environnements ambigus et mouvants Ayez d’excellentes compétences en communication, collaboration et coaching Ayez une présence exécutive forte et la capacité à cultiver des relations profondes avec les leaders métier et technique des plus grandes entreprises de la région Ayez au moins une familiarité de haut niveau avec l’architecture et le fonctionnement des LLM Ayez une passion pour rendre les technologies puissantes sûres et bénéfiques pour la société Restiez à jour et informée en vous intéressant activement à la recherche émergente et aux tendances du secteur en IA Les candidates et candidats solides pourraient avoir : Leadership de pré-vente d’entreprise à grande échelle : 5+ ans de direction d’équipes d’architectes de solutions à travers une hypercroissance (idéalement des dizaines de personnes dans plusieurs pays), avec expérience directe de direction de managers et développement de talents dans des environnements de vente de logiciels d’entreprise complexes Gamme multilingue et multiculturelle : En plus de l’anglais, maîtrise d’une ou plusieurs langues parmi le français, l’italien, l’espagnol ou le portugais, et expérience de direction d’équipes distribuées dans plusieurs pays Expérience avec les modèles commerciaux basés sur la consommation : Les candidats idéaux ont construit des cadres GTM ancrés sur la consommation, pas seulement sur les licences basées sur SaaS Profondeur technique en IA + Engagement exécutif : Expérience pratique avec les plateformes d’IA et les modèles d’intégration d’entreprise, combinée à un historique avéré d’engagement des parties prenantes au niveau C dans des évaluations techniques de 10 M€+ et des cycles de vente d’entreprise Expérience GTM multi-secteurs dans les secteurs réglementés : Succès démontré dans l’adaptation des approches techniques à différents secteurs verticaux, en particulier les secteurs réglementés tels que la banque, les assurances et la santé, y compris le travail avec les parties prenantes en matière de risque, de conformité et de comité d’entreprise About the Role: As the 2nd-line leader for the Applied AI Industries team in Southern Europe and the Middle-East at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. Our Industries customers in France, Iberia and Italy include many of the region's largest enterprises across financial services, healthcare and life sciences, manufacturing, telecom, retail, energy, and other sectors. You'll leverage your experience building and leading technical sales teams to drive positive AI transformation that addresses our customers' business needs, meets their technical and regulatory requirements, and provides a high degree of reliability and safety. You will be responsible for leading and growing the solutions architect team that partners with account executives to help companies adopt and deploy Anthropic's products, including Claude Cowork, Claude Code, and the Claude Development Platform (our API). This will include leveraging your technical skills and consultative sales experience to hire great 1st line managers and individual contributors, establish processes to scale your team, and represent Anthropic directly at strategic customer engagements. Your team covers several countries and industries at once, so you will be responsible for thinking strategically about complex industry accounts and for identifying and rolling out solutions that resonate in each market, with its own language, business culture, and regulatory context. Responsibilities: Hire, manage, and guide a team of 1st line managers who will in turn build teams of pre-sales Applied AI Architects across France, Iberia and Italy. Set goals for your team in collaboration with sales leadership and establish baseline expectations for performance across your team. Act as a technical and executive sponsor for high-value strategic customers in the region and advise them on their overall AI adoption strategies or use case scoping and pilot execution. Partner closely with Southern Europe sales leadership (also covering the Middle-East and Africa) to build strategies for complex industry accounts and identify new ways to drive adoption of Anthropic products within specific verticals or horizontal use cases. Help customers navigate local and European regulatory requirements (for example the EU AI Act, GDPR, DORA, and data residency expectations) and adapt how your team engages to the business culture of each market. Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption in the region. Travel regularly across Southern Europe to customers or conferences for executive-level sessions, technical workshops, and relationship building. Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. Contribute to thought leadership through conference presentations, webinars, and technical content creation. Stay current with emerging AI trends and the competitive landscape. You may be a good fit if you: 7+ years of technical pre-sales management experience, including 2nd-line leadership or above (leading managers). Have sold complex technical products to large enterprises in France, Iberia, Italy, the Middle-East and Africa. Have worked across multiple industries, such as financial services, healthcare and life sciences, manufacturing, telecom, retail, and energy. Understand the cultural differences between Southern European markets and the regulatory context your customers operate in, and adapt your approach to each. Think highly strategically about complex industry accounts, and turn that thinking into plans your team and sales counterparts can execute. Have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments. Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. Have excellent communication, collaboration, and coaching abilities. Strong executive presence and ability to foster deep relationships with business and technical leaders at the region's largest companies. Have at least a high level familiarity with the architecture and operation of LLMs. Have a passion for making powerful technology safe and societally beneficial. Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have: Enterprise pre-sales leadership at scale: 5+ years leading solution architect teams through hypergrowth (ideally dozens of people across several countries), with direct experience leading managers and developing talent in complex enterprise software sales environments. Multilingual and multicultural range: In addition to English, fluency in one or more of French, Italian, Spanish or Portuguese, and experience leading teams distributed across several countries. Experience with consumption business models: Ideal candidates have built GTM frameworks anchored on consumption, not just SaaS-based licenses. AI Technical Depth + Executive Engagement: Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in €10M+ technical evaluations and enterprise sales cycles. Multi-industry GTM experience in regulated sectors: Demonstrated success adapting technical approaches to different verticals, in particular regulated ones such as banking, insurance, and healthcare, including working with risk, compliance, and works council stakeholders. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €265.000 — €310.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Senior Manager, 3P Revenue Accounting & Reporting to join our Accounting team. You will own revenue recognition, month-end close and reporting for Claude sold through our cloud service provider (CSP) channels: AWS Bedrock, Google Cloud Vertex AI and Microsoft Azure Marketplace. These channels are among the fastest-growing revenue streams at the company. They run on consumption-based, partner-reported data that changes every month. You will be the accounting point of contact for the finance and partner teams at AWS, Google and Microsoft. Internally, you will partner with Finance, FAB, Engineering and business teams to turn partner billing feeds into accurate, auditable revenue. You will also lead the automation of a close that is still heavily manual. If you want to build the financial infrastructure behind a fast-growing AI company, come join us in our mission to build safe, beneficial AI. Key responsibilities Lead the revenue close for cloud service provider Marketplace within a listed company timeline. Prepare and review revenue, revenue-share, reserve journal entries, accruals and true-ups including memos for accounting assessments and judgments. Own balance sheet reconciliations, reserves, and the usage-to-invoice-to-cash bridge. Perform monthly and quarterly flux analysis and prepare flux decks for leadership. Own quarter-end deliverables, including footnote disclosures, flux commentary and presentations to leadership and Corporate Accounting. Serve as the primary contact for external auditors. Review the work of accountants and contractors, set the close calendar, and keep close packages complete and audit-ready. Own monthly and quarterly 3P revenue reporting for leadership and FP&A, by partner, model, product, region and customer. Review partner usage, invoice, disbursement and fraud reports each month, and resolve data issues before close. Serve as the accounting point of contact for the finance, engineering and product teams and drive reporting improvements that support an on-time close. Apply ASC 606 to 3P arrangements, including principal-vs-agent, variable consideration and reseller arrangements. Estimate and document reserves, including credit loss (ASC 326). Assess the accounting for new 3P products, programs and billing changes, partnering with Technical Accounting on complex judgments. Partner with the Engineering teams to automate manual close processes, including SQL-driven workbooks, automated reconciliations and system-generated journal entries. Own 3P SOX controls, including design, documentation, gap remediation and audit evidence. Partner with FP&A, Treasury, AR and business teams on forecasts, cash and partner disputes. Minimum qualifications Have strong ASC 606 knowledge, especially principal-vs-agent, variable consideration, consideration payable to a customer, and consumption-based revenue. Have owned a month-end close with tight deadlines and reviewed journal entries, reconciliations and flux analysis. Have built revenue reporting from large, imperfect third-party data sets and reconciled it to the general ledger. Have managed external partner relationships where you depended on their data, and pushed for fixes. Have strong SQL skills (BigQuery or similar) and experience automating close workbooks or reconciliations. Have designed or operated SOX controls and supported external audits. Communicate clearly with accounting, finance, business and engineering teams. Thrive in fast-paced, ambiguous environments where processes are still being built. Preferred qualifications Have 10+ years of progressive accounting experience, including 3+ years managing revenue accounting or close teams. A Bachelor's degree in Accounting or Finance; CPA or equivalent (ACA, ACCA). Big 4 audit experience combined with industry experience at a high-growth tech or SaaS company. Experience with cloud marketplace, reseller or channel revenue (AWS Marketplace, Google Cloud Marketplace, Azure Marketplace). Experience with usage-based and subscription revenue models. Hands-on experience with Workday Financials, NetSuite, Numeric, Hex or similar close and reporting tools. Experience with IPO readiness. Experience using AI tools to automate accounting and reporting work. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

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Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Program Manager to join our Accounting organization and help it run as one global team. Accounting is scaling at an unprecedented pace across multiple hubs, and the goals, rhythms, programs, and people that make up the team need to stay connected as we grow. In this role, you will own that connective tissue: the annual goal-setting cycle, the leadership team’s operating cadence, org-wide events and internal communications, and the programs that make a distributed team feel like one. You will partner with Accounting leadership, the People team, Finance Systems, and hub leads. This is a hands-on role with a lot of range: part chief of staff, part program manager, part culture builder. Responsibilities Goals and operating rhythm Run the annual goal setting process and the reporting that tracks progress against those goals. Look at how the org actually operates (meetings, handoffs, planning cycles, decision making) and fix what isn't working. Maintain one org-wide planning calendar that shows close, audit, and team milestones alongside company-wide and team events, so leaders can see the pressure points and plan around them. Build and maintain a simple set of org health metrics (attrition, engagement scores, hiring pipeline, training completion, survey trends) and report on them regularly. Leadership and org-wide events Run our extended leadership team (XLT) program, including agendas, meetings, follow-ups, and action items. Own planning and agenda for the annual offsite and run the quarterly team all-hands. Write the internal updates: a regular team newsletter, plus talking points when leadership needs to explain a change to the whole org. People and culture Coordinate projects across the org that support employee experience programs. Partner with the People team to roll out training and development programs for Accounting. Review team survey results, identify the themes, and build action plans to address the feedback. Follow through and report back to the team. Run hub programs, including visit and rotation programs, local hub events, and meeting norms that work across time zones, so we feel like one global team. Run recognition and team rituals: wins, milestones, anniversaries, and peer recognition, especially across hubs. Team operations Support contractor management, including onboarding, tracking, and coordination with the right partners. Keep the team's knowledge base current: wiki, org charts, role descriptions, and key process docs. Keep the team calendar accurate so everyone knows what's coming. Preferred qualifications 7+ years in program management, operations, chief of staff, or strategy roles. Experience inside a finance or accounting org is a plus, but not required. A track record of running recurring programs end to end and getting people to follow through without formal authority. Good judgment about what matters and what doesn't. You can handle a lot of moving pieces without dropping them. Clear, direct writing. You can brief a senior leader in a few sentences. Comfort with confidential information and sensitive people topics. Experience supporting distributed or global teams. You're organized, but you also know when a process is getting in the way and should be simplified. 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: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Brand & Experience team builds the emotional connection between Deliveroo and our customers, riders, and partners. With a deep understanding of our audience and a passion for creativity, we bring our brand to life across every touchpoint. Whether it’s a push notification, social campaign, or packaging design—we craft compelling experiences that shape perceptions, spark engagement, and make Deliveroo a loved, global brand. We’re looking for a Senior Marketing Manager, Brand Integrated Marketing to join our London team. This is a hybrid role. In this role, you’ll help us take ideas from global strategy through to local activation across markets, delivering integrated campaigns that drive measurable business growth. What You’ll Be Doing You’ll be joining the Integrated Marketing team. We own the Deliveroo brand globally and lead our biggest campaign moments. Working in a cross-functional squad alongside strategic teams, functional leads, and local markets, we turn big ideas into high-impact campaigns across our markets. Here’s what your day-to-day might look like: Global Campaign Ownership: Lead high-profile global marketing programmes and integrated campaigns from global strategy through to local market execution. Framework & Playbook Development: Design, scale, and maintain measurement frameworks, playbooks, and systems that enable global and local teams to execute best-in-class brand campaigns. Cross-Functional Leadership: Partner closely with cross-functional squads, strategic teams, functional leads, and local market leads to align campaign strategies with core business goals. Stakeholder Management: Influence senior stakeholders across the global organisation without direct authority, ensuring alignment on messaging, execution, and performance metrics. Strategic Optimisation: Balance tactical execution with a longer-term strategic perspective to solve complex marketing briefs and continuously optimize brand performance. What You’ll Need to Thrive Essential Integrated Brand Leadership: Proven experience leading end-to-end global integrated marketing campaigns from initial strategy through to local market activation. Framework Development: Strong track record in establishing measurement frameworks, campaign playbooks, and operational systems that scale across multiple regions. Stakeholder Influence: Demonstrated ability to influence and align senior cross-functional stakeholders and matrix teams without direct line management authority. Strategic & Tactical Execution: Proven ability to operate independently on complex or ambiguous briefs, balancing day-to-day execution with longer-term brand strategy. Commercial Acumen: Strong expertise in linking brand initiatives and marketing campaigns directly to measurable business growth and commercial impact. Nice to Have Experience navigating three-sided marketplace dynamics or fast-paced consumer tech environments. Background working across international or multi-market structures. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Brand & Experience team builds the emotional connection between Deliveroo and our customers, riders, and partners. With a deep understanding of our audience and a passion for creativity, we bring our brand to life across every touchpoint. Whether it’s a push notification, social campaign, or packaging design—we craft compelling experiences that shape perceptions, spark engagement, and make Deliveroo a loved, global brand. We’re looking for a Senior Marketing Manager, Brand Integrated Marketing to join our London team. This is a hybrid role. In this role, you’ll help us take ideas from global strategy through to local activation across markets, delivering integrated campaigns that drive measurable business growth. What You’ll Be Doing You’ll be joining the Integrated Marketing team. We own the Deliveroo brand globally and lead our biggest campaign moments. Working in a cross-functional squad alongside strategic teams, functional leads, and local markets, we turn big ideas into high-impact campaigns across our markets. Here’s what your day-to-day might look like: Global Campaign Ownership: Lead high-profile global marketing programmes and integrated campaigns from global strategy through to local market execution. Framework & Playbook Development: Design, scale, and maintain measurement frameworks, playbooks, and systems that enable global and local teams to execute best-in-class brand campaigns. Cross-Functional Leadership: Partner closely with cross-functional squads, strategic teams, functional leads, and local market leads to align campaign strategies with core business goals. Stakeholder Management: Influence senior stakeholders across the global organisation without direct authority, ensuring alignment on messaging, execution, and performance metrics. Strategic Optimisation: Balance tactical execution with a longer-term strategic perspective to solve complex marketing briefs and continuously optimize brand performance. What You’ll Need to Thrive Essential Integrated Brand Leadership: Proven experience leading end-to-end global integrated marketing campaigns from initial strategy through to local market activation. Framework Development: Strong track record in establishing measurement frameworks, campaign playbooks, and operational systems that scale across multiple regions. Stakeholder Influence: Demonstrated ability to influence and align senior cross-functional stakeholders and matrix teams without direct line management authority. Strategic & Tactical Execution: Proven ability to operate independently on complex or ambiguous briefs, balancing day-to-day execution with longer-term brand strategy. Commercial Acumen: Strong expertise in linking brand initiatives and marketing campaigns directly to measurable business growth and commercial impact. Nice to Have Experience navigating three-sided marketplace dynamics or fast-paced consumer tech environments. Background working across international or multi-market structures. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Tokyo, Japan 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 Join Anthropic's Customer Success team as one of the founding members of our Japan Customer Success team as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across Japan, helping them harness the full potential of all our Claude capabilities: API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives. You'll work closely with them to provide best practices and guidance, and support them as their usage (consumption and seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies. That makes you a key voice in shaping how we build and deliver ongoing value as a business. As one of the founding members of our Customer Success team in Japan, you'll help shape how we build the function in-region. That includes establishing regional processes, developing new customer relationships, and representing Anthropic's brand in a high-growth market alongside a small, growing team. You'll operate with significant autonomy while maintaining strong alignment with global teams. This requires someone who thrives in ambiguous environments and can work effectively across time zones. Key responsibilities Build trusting, strategic relationships with key Japanese customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption and adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products to drive full value from contracted commitments Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness of new products, and engaging Product PMs as the voice of Japanese customers Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle: manage comprehensive account and success plans grounded in the customer's business objectives, conduct Quarterly Business Reviews, and serve as the primary conduit between the customer and Anthropic Build Anthropic's brand and customer relationships as part of our founding in-region CS team, developing Japan-specific processes, playbooks, and best practices where needed that account for regional business cultures Minimum qualifications Experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/Functional Consultant, Success Engineer or similar) Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns Experience explaining and demonstrating technical products to various audiences Strong project management skills and ability to manage multiple customer relationships Passion for AI and interest in responsible development of advanced systems Fluency in English and Japanese Preferred qualifications 6+ years of experience in relevant field Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Experience working in and building a growing region, while navigating across time zones with US-based headquarters A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it. Key responsibilities Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability Share the on-call for the systems you own Minimum qualifications Experience building and operating user-facing products used by a large number of people, including the backend services behind them Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design Strong programming skills in Python and TypeScript, with experience across backend services and web front ends A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback Experience defining product metrics and running experiments to make decisions Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners Interest in AI safety and Anthropic's mission Preferred qualifications Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking Experience on consumer products with strong retention, or on personalization systems Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA Experience with latency-sensitive, performance-critical product work Experience mentoring engineers or setting technical direction for a 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. 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: Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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: $320,000 — $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. 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: 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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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: $320,000 — $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. 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: Serbia; Estonia; Montenegro; Kazakhstan FREEDOM FINANCE TECHNOLOGIES is a Cyprus-based fintech company and part of the international financial holding Freedom Finance. We develop and maintain trading and banking IT products, as well as the holding’s IT infrastructure worldwide. Our team currently consists of 170 professionals.  Over the past three years, we have grown fourfold and continue to actively expand our team. Since 2009, we have been developing our core product - a trading system for brokerage operations in the stock market. More than 700,000 users across 41 countries use our applications. We are expanding our IT Infrastructure team and are looking for a Network Engineer to support, develop, and modernize our corporate office network. Our office network is built around a centralized FortiGate core located in the data center and managed by a dedicated team. At the office level, we primarily use MikroTik and Ubiquiti equipment. We are looking for someone who can bring consistency and order to the network infrastructure by improving segmentation, implementing high availability, automating monitoring, and keeping documentation up to date. Key Responsibilities: Network Operations & Development Administer and develop the office network infrastructure (primarily MikroTik, with Ubiquiti deployed in several locations). Network Optimization Reconfigure network segmentation across all office locations, optimize the existing infrastructure, and eliminate bottlenecks. High Availability Design and implement high-availability solutions for network equipment and WAN connectivity. Monitoring & Automation Deploy network monitoring systems and introduce additional services to simplify network administration. Documentation & IP Address Management (IPAM/Wiki) Maintain and update the corporate knowledge base (Wiki), keep network diagrams for major office locations current, and manage the organization's IP address space (IPAM). New Office Deployments Remotely prepare and configure network equipment for new office openings. Collaboration Work closely with Internet service providers (ISPs) and the team responsible for the data center network core. Troubleshooting Diagnose and resolve incidents related to network infrastructure and associated services. Requirements Strong MikroTik Expertise Hands-on experience configuring, routing, and troubleshooting MikroTik RouterOS environments. Experience with Ubiquiti Solid understanding of configuring and managing UniFi and Edge product lines. Strong Networking Fundamentals In-depth knowledge of TCP/IP, the OSI model, routing, VLANs, VPNs, firewalls, and NAT. Practical experience designing and supporting high-availability environments, including link redundancy and load balancing. Linux Administration Solid experience with Ubuntu Linux, including network service configuration and basic server administration. Documentation Skills Experience with IP address management solutions (NetBox, phpIPAM, or similar) and maintaining network documentation and diagrams (Confluence, Notion, draw.io, Visio). Monitoring Systems Experience deploying, configuring, and customizing monitoring platforms such as Zabbix, Prometheus/Grafana, Nagios, or equivalent solutions. English — B2 (Upper-Intermediate) or higher Ability to communicate effectively in written English with external vendors and colleagues. Most day-to-day communication is conducted in English. Self-Driven & Organized Ability to work independently, take a structured approach to problem-solving, and maintain well-organized infrastructure and documentation. Excellent written and verbal Russian is essential for this role Nice to Have Experience with IP telephony, including Asterisk administration and configuration. Relevant certifications such as MTCNA, MTCRE, CCNA, or equivalent. Understanding of FortiGate architecture and operation to collaborate effectively with the data center networking team. Basic automation skills using Bash, Python, or Ansible to streamline routine operational tasks. Benefits Fully remote work. Daytime and evening working hours according to the Moscow time zone. A service contract with a Cyprus-based company. Fixed monthly salary in euros. Paid annual leave of 21 working days. Paid sick leave. Public holidays: New Year holidays until January 4–6, plus May 1–2 or May 8–9. One additional paid day off per month. Coverage of professional training courses related to your area of work. Coverage of participation in professional online conferences. Training on products and processes. A genuinely comfortable and professional working environment. Opportunities to grow and develop alongside the company and its products.

Location: South Africa; Brazil; Mexico; Venezuela, Bolivarian Republic of; Colombia; Ecuador About Huzzle At Huzzle, we connect exceptional talent with exciting opportunities at leading companies across the UK, US, Canada, Europe, and Australia. We work with fast-growing startups, digital agencies, SaaS businesses, and tech-enabled companies across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we connect you directly with innovative companies, where you become an integral part of their team. Job Type Full-time Job Summary We are seeking a proactive, customer-focused Customer Success Manager to join a growing team. In this role, you will play a key part in building strong client relationships, driving customer satisfaction, and ensuring clients achieve their desired outcomes. This is an exciting opportunity for an experienced customer success professional who excels at client communication, account management, and proactively identifying opportunities to improve customer retention, engagement, and long-term growth. Key Responsibilities Build and maintain strong, long-term client relationships, acting as the primary point of contact for client needs, queries, and escalations. Work closely with internal teams to ensure projects are delivered on time, within scope, and aligned with client expectations. Client Onboarding: Oversee the onboarding process for new clients, ensuring a smooth transition and clear communication of goals, processes, and expectations. Manage a portfolio of client accounts, monitor engagement, and proactively identify opportunities to strengthen relationships and improve satisfaction. Identify and pursue opportunities to grow accounts and expand revenue across the existing client portfolio. Provide regular updates on project progress, milestones, challenges, and outcomes, ensuring transparency and alignment throughout the client journey. Maintain accurate client records, prepare account performance reports, and share insights that support informed decision-making. Requirements At least 2 years of professional experience in Account Management or a related client-facing role. Previous leadership experience or the ability to effectively guide, support, and develop a team. Excellent verbal and written communication skills, with a strong focus on achieving results. Exceptional communication skills and a results-oriented mindset. Exceptional organizational and time-management skills, with the ability to manage a high-volume portfolio of client accounts efficiently. Benefits 💰 Competitive compensation with room for growth 🎯 Performance-based bonuses linked to client retention, account growth, and referrals 🚀 Join a fast-growing company focused on delivering measurable results and exceptional client experiences 📚Continuous development through professional mentorship

Location: Albania; Romania; Bulgaria; Egypt Hey there! Are you ready to join a fast-growing international travel-tech company and be a part of an awesome team? At RateHawk, we’re passionate about travel and technology, and we’re looking for a Customer Support Specialist (Universal Team) to help us keep our clients happy and our operations smooth. Who We Are: We're a fast-growing international travel-tech company with an amazing team, a fantastic culture, and plenty of opportunities for growth. If you love helping people and solving problems, we’d love to hear from you! Requirements What You’ll Do: Rapidly and effectively resolve client issues: Processing additional services requests for business travel bookings (European market). Advise clients: Provide expert advice on bookings and our products. Communicate: Engage with suppliers, hotels, and clients via email and phone. Work with systems: Utilize CRM systems and our internal databases efficiently. What We’re Looking For: English Proficiency: Upper Intermediate level (both spoken and written) + Italian language proficiency (B2) Soft Skills: Kindness, empathy, stress-resistance, politeness, and responsibility. Quick Learner: Ability to learn quickly and stay results-focused. Tech Requirements: A functioning computer and microphone. Travel Knowledge: Understanding of the travel business and booking systems is an advantage! Benefits What We Offer: Remote Work: Work from the comfort of your home. Great Team: Join a young and active team of super specialists. Flexible Schedule: 5\2 from 10 a.m. to 7 p.m. GMT+3. Competitive Salary: Earn a base salary of 700 EUR + up to 225 EUR gross bonus based on KPI. Challenging Tasks: Tackle interesting and ambitious tasks that will elevate your professional skills. Continuous Learning: Access to seminars, trainings, and conferences. We’ll even help you get to any conference you want to attend. Perks: Enjoy corporate discounts on hotels and other services. The Process: Application and Assessment: You'll receive an assessment link when you apply, if there's a match, you'll be invited to an interview with our HR. Meeting with HR: A friendly chat with our HR team. One minute Internet Speed Test: Just to make sure you’re all set for remote work. Interview results and offer! Learn more about our data protection practices in our Privacy Policy: https://emergingtravel.notion.site/recruitment-privacy-notice If this sounds like the perfect fit for you, we’d love to hear from you! Apply now and let’s create amazing travel experiences together!