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Location: New York City, NY; San Francisco, CA 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’s GSI team partners with the world’s largest Global System Integrators and strategy consultancies to deploy frontier AI into the core of how they deliver client work and run their own businesses. These are complex, partner-led organizations where the first engagement is rarely the full opportunity, and where lasting partnerships are built across practice areas and at the executive level. As an Strategic Account Executive on the GSI team, you’ll own a named book of accounts and the full revenue outcome for each. You’ll develop a point of view on where Claude creates the most value across a firm’s practice areas, advisory services, delivery teams, and internal operations, build relationships with the partners and executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer. These firms are both customer and future channel — your sell-to motion sets up the sell-with later. You’ll work closely with Product, Applied AI, GTM, and Partnerships leadership to shape how Anthropic shows up across the GSI landscape, while advancing our mission of developing AI that is safe, beneficial, and deployed responsibly. This is a role for someone who has owned large, complex partner-led accounts end to end and is comfortable operating independently at the executive level. Responsibilities Own all revenue outcomes for a named book of GSI accounts, driving both new logo acquisition and multi-practice expansion through complex, multi-quarter sales cycles involving partner-led approval, global procurement, and custom commercial terms Develop a clear thesis for each priority firm — where Claude creates value across knowledge management, advisory workflows, deliverable generation, and client engagements — and execute a sequenced engagement plan across practices, regions, and stakeholders Build and independently advance executive relationships with Managing Partners, Practice Leads, MDs, CIOs, CTOs, and Heads of AI/Digital, anchoring every conversation to their strategic priorities: utilization, leverage, realization, and billable productivity Proactively create demand in unengaged practice areas and regions, using early wins as proof points to open new doors across decentralized, partner-led organizations Build quantified, firm-specific business cases mapped to the GSI operating model — using their own language and metrics — that shape deals rather than justify them after the fact Identify and close lighthouse partnerships that become references across the GSI landscape and set up the future sell-with motion Partner cross-functionally with Product, Applied AI, Engineering, and Partnerships to inform the roadmap based on GSI buyer needs, and contribute to the playbook, proof points, and commercial structures that become the repeatable GSI motion You may be a good fit if you have 8+ years of enterprise software sales experience with a track record of owning named accounts at large, complex, partner-led organizations (global SIs, strategy consultancies), managing multi-quarter sales cycles through technical evaluations, partner-led approval, and global procurement Demonstrated ability to independently build and advance relationships at the Partner, MD, and C-suite level — including practice leadership and innovation/digital executives — and hold credible conversations across both technical and business audience Experience building firm-specific business cases grounded in the firm's own operating metrics (utilization, leverage, realization, margin) and defending commercial terms through complex negotiations Background selling platform, API, cloud infrastructure, or emerging technology into enterprises evaluating a new category Genuine interest in AI and strong alignment with Anthropic's mission of responsible AI development A history of growing accounts meaningfully beyond the original engagement by proactively creating demand across new practice areas, regions, and use cases What will make you stand out Direct experience selling into Global SI’s or strategy consultancies, and fluency in how partner-led firms operate and measure success Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional partner-led services firms 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: $380,000 — $450,000 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: Tokyo, Japan Freelance Trainer & Associate Consultant (Luxury Retail / Customer Experience) Location: Japan | Engagement Type: Freelance / Project-based Role Positioning (Please Read Carefully) This is not a generic training role. You are expected to deliver impactful training and translate business challenges into actionable behaviors. Key Responsibilities 1. Training Delivery (Core): Deliver workshops for frontline and managers on service excellence, VIC clienteling, sales and leadership. 2. Business Translation: Translate business issues into behavioral standards and training solutions linked to KPIs. 3. Content Adaptation: Customize CXG frameworks and localize for APAC. 4. Light Consulting Support: Support workshops and provide structured feedback. Requirements Mandatory Requirements (Non-negotiable) Luxury / Premium Brand Experience: Must have hands-on experience (retail, clienteling, L&D). Training Experience: Experience training frontline and managers with strong facilitation skills. Business Understanding: Ability to connect training with business outcomes. Preferred Profile Store manager / L&D / consulting experience preferred. Extensive experience in the automotive industry highly preferred. Language: Japanese & English delivery What We Do NOT Look For Generic trainers without retail experience or purely theoretical profiles. Application Requirements CV + Training portfolio + 1 case (business challenge, solution, impact) Benefits To be discussed during the interview.

Location: Seoul, South Korea Freelance Trainer & Associate Consultant (Luxury Retail / Customer Experience) CXG 外部合作讲师 / 轻咨询顾问（奢侈品零售 / 客户体验） Location: Korea | Engagement Type: Freelance / Project-based 工作地点：韩国｜合作形式：自由职业 / 项目制合作 Role Positioning (Please Read Carefully) 岗位定位（请务必阅读） This is not a generic training role. You are expected to deliver impactful training and translate business challenges into actionable behaviors. 这不是一个通用型讲师岗位。你需要既能交付高质量培训，又能将业务问题转化为可执行行为。 Key Responsibilities 岗位职责 1. Training Delivery (Core): Deliver workshops for frontline and managers on service excellence, VIC clienteling, sales and leadership. 1. 培训交付（核心）：为一线及管理者提供培训，包括服务、VIC客户经营、销售转化及领导力。 2. Business Translation: Translate business issues into behavioral standards and training solutions linked to KPIs. 2. 业务转化：将业务问题转化为行为标准与培训方案，并与业务指标挂钩。 3. Content Adaptation: Customize CXG frameworks and localize for APAC. 3. 内容定制：基于CXG方法论进行客户化与本地化。 4. Light Consulting Support: Support workshops and provide structured feedback. 4. 轻咨询支持：参与客户讨论并提供结构化反馈。 Requirements Mandatory Requirements (Non-negotiable) 任职要求（硬性条件） Luxury / Premium Brand Experience: Must have hands-on experience (retail, clienteling, L&D). 奢侈品经验：必须具备深度在场经验（门店、客户经营或内部培训）。 Training Experience: Experience training frontline and managers with strong facilitation skills. 培训经验：具备一线及管理者培训经验，具备良好授课能力。 Business Understanding: Ability to connect training with business outcomes. 业务理解：能将培训与业务结果（转化、客户体验等）连接。 Preferred Profile 优先考虑 Store manager / L&D / consulting experience preferred. 有店长、培训或咨询经验优先。 Extensive experience in the automotive industry highly preferred. 汽车行业经验丰富者尤其优先。 Language: Korean & English delivery or Korean & Chinese delivery 语言要求：可以用韩语和英语授课或者韩语和中文授课 What We Do NOT Look For 不考虑人选 Generic trainers without retail experience or purely theoretical profiles. 无零售经验的通用讲师或纯理论型人员。 Application Requirements 应聘要求 CV + Training portfolio + 1 case (business challenge, solution, impact). 简历 + 培训案例 + 1个案例说明（业务问题、方案及结果）。 Benefits To be discussed during the interview. 服务费用面议

Location: 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’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Developer Experience: You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are: Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". Public Sector: Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them. Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. You might be a good fit if you: Have a minimum of 6 years of practical full-stack engineering experience Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack Are technically proficient in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of teams. 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 — $320,000 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 | 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’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Platform Ecosystem: The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are: Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". Public Sector: Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. You might be a good fit if you: Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Care deeply in investing in the mentorship and growth of your peers Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 | 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 experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Service Infra: we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company. Platform Portability: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments. Platform Intelligence: You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack. Billing Platform: Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai , the Developer Platform, Claude Code, and whatever comes next. The faster we can price it and account for it correctly, the faster Anthropic can fund the mission. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business. Platform Serving: You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers. Agentic Systems: You'll build the infrastructure and APIs that let developers create powerful agentic applications on the Claude API — including Claude Managed Agents, our managed platform for deploying and running agents in production. Your work spans the primitives agent developers depend on: tool use, multi-step reasoning, durable sessions and environments, and long-running task execution that lets Claude take actions and accomplish complex goals on a user's behalf. You'll make this platform ready for the largest enterprises to adopt, and partner with research to bring cutting-edge agent capabilities into production. Auth & Identity: We build and maintain the critical infrastructure and control interfaces that power identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience. Platform Safety: We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API, Claude.ai , and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end Are proficient in Python, Go, Rust, or similar systems languages Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking Take full ownership of your work—from design through deployment and operations Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use Care about building systems that other engineers love to use Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Ireland About the Job: LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in Ireland. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery. You will partner closely with the Senior Financial Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets. This role plays a key part in ensuring that defined metrics (e.g., ARR, NRR ) are consistently implemented, automated, and delivered across the organization. Responsibilities: Data Modeling & Transformation Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets. Metrics Implementation Implement and maintain standardized metrics (e.g., ARR, NRR , churn) in the data layer. Ensure consistency across dashboards and reports. Automation & Pipeline Support Work with Data Engineering to automate data pipelines and reduce manual reporting processes. Dashboarding & Reporting Develop and maintain dashboards that provide consistent and reliable visibility into business performance. Data Quality & Validation Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems). Global Collaboration Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs. Qualifications: Typically requires a minimum of 5 years of related experience in financial data analytics, business intelligence, or analytics engineering Strong SQL skills and experience working with structured and large datasets Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar) Experience building and maintaining data models and dashboards Experience implementing business logic into data transformations Strong attention to detail and ability to ensure data accuracy Ability to work with global teams across time zones Clear communication skills About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

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 Join Anthropic's Customer Success team in a high-impact role driving AI adoption across our Industry segment. As an Enterprise Customer Success Manager for Industries, you'll be the strategic partner and a trusted advisor to our most complex customers with a portfolio spanning Entertainment, Insurance, Manufacturing and Retail organizations—helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll work with organizations across diverse industries that are transforming their businesses with AI technology. Developing 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, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, 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 — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: Build trusting, strategic relationships with key 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 Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and their industry vertical to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) 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 on new products and engaging Product PMs 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 and Sales 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 — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Develop scalable engagement strategies and playbooks for your Industry portfolio, balancing high-touch strategic accounts with efficient coverage models to maximize impact across all customers You may be a good fit if you have: 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering Experience working with enterprises in teleco, media, retail, industrial, business services Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users 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 Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player 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: $200,000 — $265,000 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 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 Partner Sales Manager for Systems Integrators at Anthropic, you'll own a portfolio of global and regional SI partners and be responsible for the revenue they drive. This role sits at the intersection of partnerships and sales — you'll build trusted relationships with senior stakeholders at firms like Accenture, Deloitte, and PwC, and align on joint go-to-market plans. Your main stakeholders will be sales leaders at Anthropic - helping them to land and expand enterprise deals where partner involvement is the difference between winning and not. This is an early-stage motion, which means the playbook is still being written. You'll have real influence over how we engage SIs, what good looks like for partner-sourced pipeline, and how we equip integrators to build durable Claude practices inside their organizations. You'll report to the Head of Partner Sales and work closely with Sales, Solutions Architecture, Customer Success, and Product to make sure our partners have what they need to close — and to deliver transformative AI solutions for their clients. Responsibilities: Work directly with Sales Leaders, Account Executives and Solutions Architects, bringing the partner into the sales cycle at the right moments and ensuring clear roles, clean handoffs, and shared accountability for outcomes Build relationships across multiple levels of the partner organization — from practice leads and delivery teams to alliance executives — and serve as their primary point of contact at Anthropic Own the commercial relationship with a portfolio of assigned SI partners, driving partner-sourced and partner-influenced revenue against defined targets Develop and execute joint go-to-market plans with each partner, including target account mapping, pipeline generation activities, and co-sell motions with Anthropic's direct sales team Collaborate with enablement and program teams to get your partners trained, certified, and equipped with the materials they need to position Claude effectively Track pipeline health, forecast partner-attached revenue, and surface blockers early so cross-functional teams can help unblock them Gather signal from partner interactions — what's landing, what's missing, where clients are pushing back — and feed it into product and go-to-market planning Contribute to the development of partner sales processes, playbooks, and best practices as the function scales You may be a good fit if you have: 7+ years of experience in partner sales, channel sales, alliances,  business development or direct sales at a technology company where partners are heavily involved A demonstrated track record of driving revenue through partners — you can point to pipeline you built, deals you influenced, and relationships that outlasted any single transaction Strong commercial instincts, including comfort structuring co-sell agreements, navigating multi-party deal dynamics, and knowing when to push and when to let the partner lead Experience operating in early-stage or high-growth environments where processes are still forming and you're expected to help build them Excellent communication and relationship-building skills across all levels, from partner practitioners to alliance executives A collaborative working style — you're energized by cross-functional work and understand that partner sales only works when Sales, Product, and Delivery are aligned Comfort with ambiguity and a willingness to create structure where it doesn't yet exist Willingness to travel to support partner relationships and joint customer engagements A genuine interest in AI and a belief that advanced AI systems should be developed safely and responsibly Strong candidates may also have: Experience working at a major Systems Integrator or global consulting firm, giving you firsthand insight into how these organizations make decisions, staff engagements, and build practices around emerging technology A background in AI, cloud platforms, developer tools, or other categories where technical enablement and differentiation are central to the partner motion Familiarity with consumption-based or API-first business models and how they shape partner economics and incentive design Experience managing partner relationships across multiple geographies A history of being an early member of a partner sales function and helping it 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: $300,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Baku Workplace: remote ABOUT YOU We are looking for an Operations Engineer who is technically curious, detail-oriented, a strong communicator, and proactive to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to monitor and investigate production issues across a global platform, help improve how we detect and respond to incidents, analyze trends and patterns in production data, and contribute to better communication with partners and stakeholders during incidents. Strong troubleshooting skills, observability platform experience, and scripting ability are essential, along with experience in SRE, DevOps, production operations, or NOC environments supporting high-availability platforms (payments, e-commerce, SaaS, or gaming). The ability to communicate clearly and effectively in English — both written and verbal — when writing incident updates, shift handoffs, and status page communications will be key to your success in this role. If you're passionate about keeping critical systems running and continuously improving operational processes and love being the first to spot issues and the one who drives them to resolution for game developers and players worldwide, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Serve as the primary dashboard monitor during your shift — continuously watch the GTO Operational Dashboard in Datadog, detect anomalies by correlating signals across APM, logs, metrics, synthetic tests, and Real User Monitoring, and determine whether alerts warrant an incident ticket or can be resolved through immediate investigation. Triage and investigate production incidents — create incident tickets in JIRA Service Management, perform initial technical investigation using Datadog (traces, logs, infrastructure and application metrics), determine blast radius and likely root cause domain, and route to the correct team (Product SRE, Infrastructure SRE, or Engineering) using the smart routing model. Own lower-severity incidents end-to-end from detection through resolution — diagnose, execute runbook procedures, and resolve without escalation where possible. Escalate promptly when an incident is unresolved within defined thresholds or requires a code-level fix. Support the TSO Lead during major incidents as the technical right hand in the war room — surface real-time data (error rates, impact scope, deployment history, related alerts), maintain the incident ticket with live timeline entries and linked evidence, and execute mitigation actions as directed. Draft incident communications under TSO Lead direction, including internal Slack updates, stakeholder notifications, and customer-facing status page updates (status.xsolla.com). Support clear, timely communication throughout the incident lifecycle. During non-incident periods, analyze incident trends, recurring issues, and production bugs — compile data from Datadog, JIRA, and Slack, identify patterns, and contribute findings to regular reports for product and engineering teams. Compile incident timelines and draft initial PIR documents for Post-Incident Review preparation. Track PIR action items post-session and flag overdue items to the TSO Lead. Build and maintain operational automation (alert enrichment scripts, incident templates, Slack workflows, dashboard widgets) and contribute to runbook development — documenting new resolution procedures so they can be repeated by any Operations Engineer on any shift. Conduct structured shift handoffs covering active incidents, at-risk services, upcoming deployments, and follow-up items. Participate in knowledge transfer sessions with SREs to continuously expand independent resolution capability. Cover for the TSO Lead during vacations, absences, or emergencies — including severity classification, escalation decisions, stakeholder communications, and basic Incident Commander functions. Publish health reports of critical apps periodically. Qualifications and Skills 4+ years of experience in SRE, DevOps, production operations, NOC, or technical operations in a high-availability environment. Experience with platforms that handle payments, e-commerce, SaaS, or gaming workloads is preferred. Strong troubleshooting and investigation skills — ability to take an alert or user-reported symptom and methodically trace it through the stack: application logs, APM traces, infrastructure metrics, database queries, and network paths. Hands-on experience with Datadog (or equivalent observability platform: Grafana, Splunk, New Relic, Elastic) — navigating APM, building log queries, reading infrastructure dashboards, interpreting SLO burn rates, and configuring monitors and alerts. Proficiency in at least one scripting language: Python, Go, or Bash. You will write automation scripts, build operational tooling, and work with APIs. Clear written and verbal communication skills in English — ability to write incident tickets, investigation notes, Slack updates, shift handoff reports, status page communications, and PIR drafts that are clear, concise, and useful to both technical and non-technical audiences. Working knowledge of Kubernetes and cloud infrastructure (GCP preferred, AWS/Azure acceptable) — understanding of pods, deployments, services, ingress, node health, and how to investigate Kubernetes-related production issues. Understanding of SLOs, error budgets, and burn-rate alerting — knowing what a multi-window burn-rate alert means, how error budgets deplete, and how SLO breaches translate into incident severity. Experience with incident management tooling: JIRA or JIRA Service Management, PagerDuty or OpsGenie, Slack, and Confluence. Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive monitoring, or automated remediation. Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) is required. Nice to Have Experience in the gaming, payments, or fintech industry — particularly environments where transaction processing, checkout flows, or player-facing services must meet strict uptime requirements. Familiarity with Datadog Service Catalog, synthetic monitoring, and RUM; exposure to database operations (MySQL, PostgreSQL, Redis, Kafka); and experience with CI/CD pipelines and deployment tooling (GitLab CI, ArgoCD, Helm). JIRA Service Management administration experience (workflows, automation rules, SLA timers) or ITIL Foundation certification — practical experience matters more than credentials. The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com For more vacancies: Careers | Xsolla

Location: Shanghai, China; Hong Kong; Taipei, Taiwan Freelance Trainer & Associate Consultant (Luxury Retail / Customer Experience) CXG 外部合作讲师 / 轻咨询顾问（奢侈品零售 / 客户体验） Location: Greater China / APAC | Engagement Type: Freelance / Project-based 工作地点：大中华区 / 亚太地区｜合作形式：自由职业 / 项目制合作 Role Positioning (Please Read Carefully) 岗位定位（请务必阅读） This is not a generic training role. You are expected to deliver impactful training and translate business challenges into actionable behaviors. 这不是一个通用型讲师岗位。你需要既能交付高质量培训，又能将业务问题转化为可执行行为。 Key Responsibilities 岗位职责 1. Training Delivery (Core): Deliver workshops for frontline and managers on service excellence, VIC clienteling, sales and leadership. 1. 培训交付（核心）：为一线及管理者提供培训，包括服务、VIC客户经营、销售转化及领导力。 2. Business Translation: Translate business issues into behavioral standards and training solutions linked to KPIs. 2. 业务转化：将业务问题转化为行为标准与培训方案，并与业务指标挂钩。 3. Content Adaptation: Customize CXG frameworks and localize for APAC. 3. 内容定制：基于CXG方法论进行客户化与本地化。 4. Light Consulting Support: Support workshops and provide structured feedback. 4. 轻咨询支持：参与客户讨论并提供结构化反馈。 Requirements Mandatory Requirements (Non-negotiable) 任职要求（硬性条件） Luxury / Premium Brand Experience: Must have hands-on experience (retail, clienteling, L&D). 奢侈品经验：必须具备深度在场经验（门店、客户经营或内部培训）。 Training Experience: Experience training frontline and managers with strong facilitation skills. 培训经验：具备一线及管理者培训经验，具备良好授课能力。 Business Understanding: Ability to connect training with business outcomes. 业务理解：能将培训与业务结果（转化、客户体验等）连接。 Preferred Profile 优先考虑 Store manager / L&D / consulting experience preferred. 有店长、培训或咨询经验优先。 Extensive experience in the automotive industry highly preferred. 汽车行业经验丰富者尤其优先。 Language: Mandarin & English required;  Japanese/Korean/Cantonese a plus. 语言要求：中英文流利，日语/韩语/广东话 是加分项 What We Do NOT Look For 不考虑人选 Generic trainers without retail experience or purely theoretical profiles. 无零售经验的通用讲师或纯理论型人员。 Application Requirements 应聘要求 CV + Training portfolio + 1 case (business challenge, solution, impact). 简历 + 培训案例 + 1个案例说明（业务问题、方案及结果）。 Benefits To be discussed during the interview. 服务费用面议

Location: San Francisco, CA 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 Anthropic Platform Org’s mission is to help builders build. Our vision is to be the premier platform for businesses to transform themselves and their products with AI. This org is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure. We serve a wide array of users from startups to large scale enterprises. The platform team is comprised of three key areas: Enterprise fabric – where we are building multi-cloud integrations at extreme scale across our entire stack to meet businesses wherever they are and in the most demanding of requirements. Frontier capabilities – where we are building developer experiences and features that enable users to get the most out of the model and build at the very frontier of intelligence. Agentic platform – where we are inventing the next generation of agentic infrastructure for production-grade use and building new products to enable businesses to solve problems with agents. Responsibilities: Customer Understanding & Advocacy Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points Run regular feedback sessions and technical reviews with key enterprise customers Build strong relationships with enterprise development teams to understand their workflows and challenges Transform customer insights into actionable product requirements and priorities Product Strategy & Vision Define and execute the enterprise API strategy, balancing security requirements with developer experience Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities Identify and prioritize key enterprise integration patterns that drive organizational value Enterprise API Development Partner with engineering to build enterprise-grade API features, security controls, and deployment tools Design and implement enterprise integration frameworks and SDKs for common enterprise systems Drive development of industry-specific API features and compliance capabilities Cross-functional Leadership Partner with sales and customer success to understand enterprise requirements and support technical evaluations Work closely with security and compliance teams to meet enterprise standards Collaborate with platform teams on API architecture and scalability Engage with marketing to develop enterprise API positioning and technical materials Minimum Qualifications You may be a good fit if you: Have built or shipped products with a hyperscaler as a partner — you know how to align goals and deliver impact across that boundary. Have owned a revenue number, a margin target, or a channel P&L — not just a product roadmap. Operate with high autonomy in ambiguous, fast-moving environments. Are an excellent written communicator and able to drive clarity out of complexity. Excel at cross-company stakeholder management and can build trusted relationships at every layer of an organization. Preferred Qualifications Strong candidates may also have: Have 10+ years of experience in high-scale, high-reliability developer-facing software. Have 5+ years of product management experience. Experience as a founder, GM, or early-stage operator where you owned commercial outcomes, not just product outputs. Direct experience as a PM at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces. 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 — $460,000 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.

О ПРОЕКТЕ Traffic Force — международная команда, создающая WebView-инструменты для привлечения и монетизации платного трафика в промышленных масштабах. Мы не строим сложные игровые клиенты, мы строим «фабрику приложений», ориентированную на конверсию, скорость и стабильность. ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ — Leadership: Техническое руководство командой из 5+ разработчиков, код-ревью и наставничество. — Architecture: Оптимизация гибридных приложений (WKWebView), фокус на взаимодействии JS и нативного кода. — Tracking: Глубокая интеграция с AppsFlyer для атрибуции установок, регистраций и депозитов. — Collaboration: Тесная связка с маркетингом и веб-разработчиками для создания бесшовного пути пользователя. — Knowledge Sharing: Ведение тех. документации и обмен экспертизой внутри команды. ЧТО МЫ ЖДЕМ ОТ ВАС — Опыт (Must Have): Практическая разработка WebView-приложений под iOS. — Tech Stack: Глубокое понимание WebKit, Message Handlers и оптимизации производительности гибридного ПО. — Management: Опыт управления командой от 3 человек. — Analytics: Реальный опыт интеграции AppsFlyer в WebView-среде. — Reliability: Готовность предоставить рекомендации от прошлых руководителей. БУДЕТ ПЛЮСОМ — Понимание специфики платного трафика (Deep Links, минимизация веса приложения). — Опыт автоматизации массовой сборки и публикации приложений. ПОЧЕМУ У НАС КРУТО? — No Bureaucracy: Ценим результат, а не бесконечные созвоны. — Stability: Еженедельные выплаты без задержек. — Growth: Оплачиваемое обучение, митапы и выезды на топовые профильные ивенты. — Benefits: Полностью оплачиваемый отпуск 14 дней.

Location: New York City, NY | Seattle, WA; San Francisco, CA 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 Growth team's job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. Growth Data Scientists partner closely with growth product managers, engineers and marketers on experimentation, opportunity sizing, strategic analysis, metrics and personalization. We're hiring for two focus areas within this posting. Tell us in your application which one fits you best, or if you're excited about both: Growth generalist: a strong generalist across marketing and product who drives experimentation, opportunity sizing, marketing measurement and strategic analysis. Personalization: building and evaluating the models and experiments that pick the right message, offer or product experience for each user, across lifecycle marketing, onboarding and in-product experiences. We work in an AI-native way. Much of our analysis, reporting and experiment work is done with Claude as a collaborator, and we expect you to push that further. Responsibilities Across both focus areas, you will: Design and analyze A/B tests and quasi-experiments across activation, retention and monetization, and turn the results into a clear call on what to ship Define systems of metrics and guardrails that tie short-term wins to long-term value Present analyses and recommendations to technical and non-technical audiences, leading with the decision and keeping the numbers in support In the Growth generalist focus, you will also: Size opportunities and make the case for what Growth should work on next Measure the incrementality of paid and lifecycle marketing with holdouts, geo experiments and other causal methods, and turn the results into budget and channel recommendations Tie acquisition and lifecycle programs to long-term value (LTV, CAC and payback) In the Personalization focus, you will also: Build and ship targeting and personalization models that decide which users get which message, offer or experience, working closely with growth product managers and engineers Design the tests that evaluate and iterate on our personalization strategy, including holdouts, bandits and off-policy estimates where A/B tests aren't practical You may be a good fit if you have 7+ years of experience in data science, with significant time on growth, marketing, lifecycle or personalization problems Deep expertise in experimental design and causal inference, including A/B testing at scale, holdouts and quasi-experimental methods when randomization isn't available Experience analyzing growth funnels: acquisition, activation, retention and monetization Proficiency with Python and SQL Clear written communication, and a track record of recommendations that changed priorities or what a team built A bias for action and comfort in ambiguous, fast-moving environments An interest in Anthropic's mission of building safe and beneficial AI For the Growth generalist focus, we're also looking for: Experience measuring marketing: incrementality testing, holdouts or geo experiments, and LTV/CAC for paid or lifecycle programs For the Personalization focus, we're also looking for: Hands-on experience building and shipping machine learning models that drive user-facing decisions (targeting, ranking, recommendation or personalization) Strong candidates may also have Experience defining activation metrics and lifecycle measurement for a product-led business Experience with experimentation platforms and meta-analysis across experiment portfolios Background at consumption-based, multi-product companies serving both consumers and enterprises Experience using LLMs or coding agents in your own analytical workflow Experience with marketing mix modeling, geo experiments or synthetic controls Experience running contextual bandits, uplift models or similar decision systems in production Experience with lifecycle or CRM personalization (email, push, in-product messaging) and its measurement problems, such as global holdouts and interference between campaigns 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: $285,000 — $380,000 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: Europe; United Kingdom Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote. Contract: Full-time, permanent. Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.   As our Senior HLR/HSS Specialist, you are the guardian of our subscriber data and the architect of our roaming efficiency. You won't just manage databases; you will own the life-cycle of HSS/HLR templates that allow our MVNO to scale globally. Your expertise in Profile & Template Engineering is critical to our success in maximising COGS and margin through sophisticated Steering of Roaming (SoR) and Sponsor Roaming integrations. Your main responsibilities will be: Design and maintain HLR/HSS subscriber templates, ensuring precise configuration of roaming profiles, APN/PDN contexts, and Camel/Diameter triggers. Collaborate with roaming partners to implement and refine SoR logic within the HLR/HSS, ensuring subscribers attach to preferred networks based on cost and quality. Lead the technical deployment of Full MVNO profiles, managing specific QoS profiles and addressing (GTs, APNs) required for independent network operations. Act as the primary technical point of contact for our System Integrators, auditing HLR/HSS configurations, reviewing change requests, and ensuring alignment with the 2026 roadmap. Define and monitor critical HLR/HSS KPIs, including Location Update (LU) success rates and Diameter Transaction per Second (TPS) limits. What you’ll need: Deep technical mastery of MAP (SS7) and Diameter (S6a/S13) protocols; additional experience with VoLTE Roaming (S8HR) or SMSoIP rollout is a significant advantage. Subscriber Mapping: Extensive experience with HLR, HSS, and UDM (User Data Management) in a multi-tenant or MVNO/E environment. Practical experience with Multi-IMSI applets and the logic required to manage roaming through Sponsor IMSIs. A solid understanding of GSMA IREG (IR series); familiarity with TADIG (TD series) and how HSS/HLR templates impact billing/settlement is preferred. A "detective" mindset for troubleshooting complex signalling failures using tools like Wireshark or roaming-specific platforms (e.g., Mobileum, Roamware, or SIGOS). Proven ability to manage technical projects with external System Integrators and roaming partners under tight deadlines. Bonus Points Experience with 5G Unified Data Management (UDM) and Authentication Server Functions (AUSF). Knowledge of Cloud Native Network Functions (CNF) and containerised core deployments. Scripting skills (Python/Bash) for automating provisioning audits or log parsing. If you are interested in this position, please apply via the link. Why People Join Us We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it's available: 📍 UK: £75000 – £110000 📍 Ireland: €64,800 – €93,150 📍 Western/Northern Europe (Germany, France, Austria): €54,800 – €152,950 📍 Southern Europe (Spain, Portugal, Italy, Greece): €44,000 – €96,600 📍 Central & Eastern Europe (Czechia, Hungary): €52,296 – €101,568 📍 South-Eastern Europe / Balkans (Romania, Serbia, Bulgaria): €50,000 – €103,235 Your Home Destination: 🛫 Local market rates and cost of living vary. Your specific range within this band depends on where you're based. We'll walk through your range together on your first call with our Talent team so we're aligned for takeoff! 🎒✨

Location: 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 Federal Partners Account Executive at Anthropic, you'll drive revenue by selling our safe, frontier AI solutions directly to Systems Integrators (SI) and Independent Software Vendors (ISV) in the public sector space. You'll focus on selling directly to partners to ensure Anthropic's AI capabilities are delivered within their own solutions and service offerings. Working closely with GTM, product, and marketing teams, you'll help these partners understand and implement our technology while driving significant revenue growth. Responsibilities Win new business and drive revenue for Anthropic by directly selling to Systems Integrators and ISVs in the public sector space, owning the full sales cycle from prospecting through close Identify net-new revenue by selling to SIs with prime contracts, helping them integrate AI into their technology stack and consulting practices to differentiate their offerings, accelerate delivery, and win more competitive bids Navigate complex technical sales conversations with partners' engineering and product teams Work with partners' technical teams to ensure successful implementation, adoption and deployment of Anthropic's AI capabilities into their solutions Coordinate with cloud providers (AWS, GCP) to align technical and commercial aspects of deals Build deep relationships with key decision makers within partner organizations Provide market intelligence and partner feedback to product teams to influence our roadmap and feature development Create and maintain sales playbooks specific to SI and ISV sales motions Track and forecast sales pipeline specific to the partner segment You may be a good fit if you have 7+ years of enterprise sales experience selling directly to Systems Integrators and ISVs Security clearances preferred Strong track record of closing complex technical sales to partner organizations Deep understanding of SI and ISV business models, buying processes, and technology evaluation criteria Experience navigating technical requirements and security standards specific to public sector implementations Proven ability to exceed revenue targets in partner-focused sales roles Strong technical acumen and ability to engage with partners' engineering teams Experience coordinating with cloud providers in complex deal scenarios Excellent communication skills and ability to present to both technical and business audiences Strategic thinking combined with hands-on sales execution capabilities Understanding of public sector procurement processes and how partners operate within them A passion for safe and ethical AI development, with the ability to articulate its technical value to partner organizations Deadline to apply: None. Applications will be reviewed 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: $380,000 — $450,000 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 Workplace: none Location: London - Tower Hill Working Model: Onsite Contract: Full time, Permanent About LCCA LCCA is a contemporary higher education institution offering a diverse range of programmes designed to support both the academic and personal development of our students. At the core of our vision is a student-centred approach to learning and teaching that is progressive, innovative, and responsive to the evolving needs of learners. Our academic community is composed of experienced and forward-thinking professionals who inspire students from a wide variety of backgrounds. We strive to cultivate confidence, encourage professional and personal growth, and empower students to achieve successful and fulfilling careers. Role Summary As a member of the LCCA team, you will demonstrate a proactive, solution-focused mindset and a commitment to excellence. You will be expected to embody and promote our educational philosophy through the effective implementation of innovative teaching practices and the delivery of an outstanding student experience. The Admissions Interviewer plays a vital role within the Recruitment and Admissions team, supporting the effective management of the student admissions process while contributing to the College’s wider engagement and retention strategy. LCCA is committed to ensuring that applicants not only meet the academic entry requirements and demonstrate the necessary literacy and numeracy skills, but also possess the aptitude, enthusiasm, and commitment required to succeed in their chosen programme of study. Through the admissions interview process, the Admissions Interviewer will assess applicants’ suitability for their selected course, evaluating their motivation, readiness to learn, and ability to engage fully with the academic experience. In addition to conducting academic interviews, the role provides essential administrative support and guidance to students and academic staff across a range of areas, including enrolment, timetabling, examinations, student compliance, attendance monitoring, and student engagement activities. Working under the direction of the Admissions Manager, the Admissions Interviewer will ensure that admissions activities are delivered in accordance with institutional policies and procedures while maintaining a high standard of customer service and professionalism. The successful candidate will possess excellent interpersonal and communication skills, strong administrative capabilities, and the confidence to engage effectively with a diverse student population. They will demonstrate resilience, adaptability, attention to detail, and a proactive approach to achieving objectives in a fast-paced environment. A genuine commitment to supporting student success, engagement, and retention is essential. Key Responsibilities Evaluate applicants' academic preparedness, motivation, aptitude, and potential to succeed within their chosen programme of study. Review application materials, including academic qualifications, employment history, personal statements, portfolios, and supporting documentation. Assess applicants against published entry requirements while considering individual circumstances and diverse educational pathways. Utilise professional judgement to identify applicants who demonstrate the potential to benefit from higher education and successfully complete their studies. Ensure admissions recommendations are evidence-based, consistent, and aligned with institutional policies and academic standards. Complete detailed interview records, recommendations, and admissions evaluations within agreed service levels. Conduct fair, transparent, and inclusive admissions assessments that uphold academic standards while promoting equality of opportunity, widening participation, and compliance with UK Higher Education regulatory requirements. Ensure compliance with UK Higher Education regulatory requirements, including OfS expectations, Equality Act 2010, GDPR, and safeguarding obligations, while maintaining accurate admissions records and supporting institutional Access and Participation commitments. Maintain accurate admissions interview data and documentation using student record systems, and Microsoft Office applications. Generate reports to support decision-making, process improvements, applicant experience enhancement, and institutional recruitment goals. Provide accurate information and guidance to prospective students on admissions requirements Delivering an excellent applicant experience and referring individuals to appropriate academic, wellbeing, disability, financial, or pastoral support services where required. About You Qualifications Essential: A bachelor’s degree or equivalent qualification Knowledge & Skills Understanding of UK Higher Education admissions practices and student lifecycle principles. Knowledge of widening participation, equality of opportunity, and inclusive admissions practices. Understanding of the Office for Students (OfS) regulatory environment and student outcome priorities. Excellent communication, interpersonal, and interviewing skills. Strong written communication and reporting skills. High level of accuracy and attention to detail. Ability to make balanced, evidence-based decisions. Strong organisational and administrative skills. Proficiency in student information systems, CRM platforms, and Microsoft Office applications. Experience within a regulated higher education environment. Knowledge of Access and Participation Plans and student success initiatives. Experience supporting student engagement, retention, or outreach programmes. Teaching, academic advising, or student support experience Experience Experience working within the UK higher education, further education, admissions, recruitment, or student services. Experience handling sensitive information with discretion and confidentiality. Experience providing advice and guidance to diverse stakeholder groups. What we offer Competitive salary 20 days annual leave Pension 5% personal contribution & 3% Company contribution Season Ticket Loan (T&C's apply) Vision Express Eye Care Vouchers Training & Development opportunities (T&C's apply) Staff Discount Scheme – via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics etc Refer a friend scheme for staff members (T&Cs apply). Social events on campus and through GUS Social Committee "GOSH - GUS on Staff Happiness". Professional development opportunities, including training and career progression pathways. Employee wellbeing programmes and access to counselling services. Our Approach 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 a licenced sponsor.

Location: San Francisco, CA 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 Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop the scenario-based forecasting tools that let us reason quantitatively about economic trajectories with no historical precedent. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously. You will ground projections in microeconomic signals from the Anthropic Economic Index — usage patterns across millions of real-world AI interactions, surfaced through privacy-preserving measurement — so that scenario forecasts are disciplined by what we actually observe about task transformation and productivity. You will use frontier methods in growth theory, computational macro, and structural estimation, and contribute to AI-powered tools that expand what economic research can do. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system , we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Responsibilities Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation Analyze questions of income distribution and economic governance under transformative-AI scenarios Contribute to the development of AI-powered research tools for economics Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise Build and maintain relationships with academic institutions, policy think tanks, and other research partners Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders You May Be a Good Fit If You Have PhD in Economics, or an exceptional candidate close to completion Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics A research record that engages seriously with the possibility of transformative AI — you treat the scenarios in this posting as live questions worth modeling rigorously, not speculation to be hedged against Relevant experience in some of: Macroeconomic modeling and structural estimation Scenario-based and time-series forecasting Task-based approaches to technological change Computational methods, agent-based modeling, or large-scale simulation Income distribution and inequality Using large language models in the research workflow Technical skills including: Proficiency in Python, Julia, or similar for computational economics Facility with AI coding agents as part of a research workflow Comfort learning new technical tools and frameworks Demonstrated ability to: Lead research projects from conception to publication Ship on tight timelines and revise in public as new data arrives Communicate technical findings to diverse audiences Strong interest in ensuring AI development benefits humanity Some Examples of Our Recent Work Labor market impacts of AI: A new measure and early evidence Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional Information For this role, we're looking for candidates who combine rigorous macroeconomic theory with computational fluency, and who are willing to model economic scenarios that fall outside the profession's usual range. The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI. Deadline to apply: None. Applications are reviewed 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: $320,000 — $405,000 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.