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Location: Paris, France; Bordeaux, France; Lyon, France; Marseille, France; Biarritz, France; Nantes, France; Annecy, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ SALES TEAM LEAD (SMALL OR MID-MARKET) ⭐ We're opening Sales Team Lead roles in France to lead some of our growing crews of Sales: - Mid-market teams, covering companies with 30–300 employees. - A very small businesses team, covering companies with fewer than 10 employees, run fully inbound. In this role, you will own acquisition on one of the Small / Mid-Market segments in France and run the business end-to-end. You'll be hands-on in the field while coaching and scaling a crew of Sales to win the associated market. This position sits at the heart of our growth ambition. We have just passed the one million member milestone, and this is only the beginning. We're accelerating acquisition in France, and Mid-Market is one of the core pillars of that plan. Why mid-market is exciting at Alan: - A large market with real momentum. You'll lead growth on a big B2B segment where our offer is already winning. We have strong references to build on. - Faster cycles, real stakes. Deals typically involve HR, Finance and the CEO, and sometimes a broker. Cycles are shorter than in Enterprise, so you see the results of your decisions quickly. - A strong product story. Companies in this range want a modern, digital health experience with fair pricing. They also want simple HR administration. This is where Alan stands out against traditional insurers and brokers. - Attractive economics. The segment has solid margins and is a key pillar of Alan's path to profitability in France. ⭐ WHAT YOU WILL DO ⭐ You will be the Sales leader of one of the Small / Mid-Market crews in France, responsible for both hitting the numbers and building the machine. More precisely, you will: - Own the associated Mid-Market acquisition plan in France. Design and execute the go-to-market strategy for 30–300 employee customers, from targeting to closing, to reach ambitious acquisition targets. - Lead a team of Sales: - Drive hiring, onboarding and career development as we scale the crew. - Help each team member reach their targets with clear expectations, rigorous follow-up, and ongoing coaching on methodology, deal execution and pipeline management. - Be in the field with the team: joining key meetings, supporting tough negotiations, and owning strategic opportunities to maximize win rates. - Empower every member of the crew. Create the conditions for everyone to reach and exceed their goals: a strong feedback culture, clear ownership and autonomy. - Ensure market fit and remove blockers. Surface customer expectations, patterns and blockers. Make sure they're addressed through the right plans (product, pricing, ops, marketing, etc.). ⭐ IS IT WHAT YOU ARE LOOKING FOR? YOU MAY BE A GREAT FIT AT ALAN IF YOU... ⭐ - Have at least 6 years of experience in B2B sales, with a proven track record of hitting and exceeding targets as an Account Executive and Sales Leader - Have experience leading and coaching sales teams, with the ability to set a high bar, give clear direction and help people grow - Have full working proficiency in French, and an advanced level of English for internal communication - Have a very hands-on mentality: you love being in the field with your team, joining customer meetings, helping on tough negotiations and sharing what works - Have experience selling to small or mid-market companies (30–300 employees) in multi-stakeholder deals - Are comfortable operating in fast-paced, ambiguous environments, and can prioritize ruthlessly - Are data-driven and analytical: you know how to use KPIs to drive performance, run analyses and make decisions - Have strong cross-functional collaboration skills and an appetite for building things with others (sales ops, marketing, etc.) - Are based in (or willing to relocate to) Paris, Bordeaux, Marseille, Lyon, Nantes, Biarritz or Annecy Nice-to-have: - Experience selling to HR, Finance and C-level stakeholders - Having already opened or scaled a new segment or market in a fast-growing company - Experience selling insurance, benefits, HR tech or SaaS For this opportunity, we are aiming to hire within the C1-F level range https://alan.com/en/careers/a/salary-equity. 🙌   PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.  Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary, for permanent contracts only. - Flexible Office. Amazing office space at our Paris HQ or sponsored co-working hubs in Bordeaux, Marseille, Lyon, Annecy, Nantes or Biarritz. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance. Extremely comprehensive health insurance - 100% of the contribution covered by Alan for you and your family, for permanent contracts only. - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Parental leave. Extended parental leave for all new parents, for permanent contracts only. IMPORTANT NOTE: WE HIRE PEOPLE NOT ROLES.  After reading this job description, if you feel like you don’t have all the necessary prerequisites but that it matches where you are now or what you'd like to grow into in your next position, we encourage you to apply! Not everybody will enter our recruitment process, but all, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. #LI-DNP

Location: Marsa, Malta About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We are currently looking for full-time (40 hours per week) Grocery Store Assistants (or Grocery Associates, as we call them) to join our awesome teams in Wolt Market Malta! In this role you are right in the heart of our day-to-day dark store operations - you’ll be making sure that all orders are gathered and ready to be picked up by our courier partners or customers. Our stores are open 7 days a week, so this role also requires you to be able to work on weekends and in different shifts according to the Wolt Market's opening times and Wolt's delivery times. If you are a team player, enjoy working independently and have a good sense of humour, then you might be just the person we are looking for! 🤩 Wolt Market Marsa Location: Marsa Opening hours: 06:45 until 00:00 Contracts: full-time What you’ll be doing Team cooperation for an excellent management of the store, assisting the store management with all areas of store operation Providing excellent customer service Unpack daily stock deliveries, shop upkeep, restocking & merchandising Ensuring to offer the freshest of produce Completing purchases and bagging groceries Ensuring that the entire store is clean and organized Qualifications You must be at least 18 years old The flexibility to work different shifts including morning, afternoon and late evening shifts, including weekends and public holidays. Our store is open 7 days a week and the working hours are from 06:45 until 00:00 Professional and respectful attitude A friendly communication style with your team The drive to work hard in a fast-paced environment Fluent knowledge of the English language is a must Knowledge of the Maltese language will be considered a plus Previous experience in the retail sector is a big plus What you’ll get by joining us Minimum 24 days of vacation per year Wolt credits cashback benefit Employee assistance program Wolt-wide training programs Fruits and drinks at the Wolt Market Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! 💙 We will be reviewing applications on an on-going basis, so send through your application along with your CV as soon as possible! ❗️Please note that the communication for this position happens via email, so kindly remember to check your email folders frequently❗️ The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position is not eligible for consideration for an equity/RSU grant. Pay Range: €7,21 — €7,21 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. https://job-boards.greenhouse.io/anthropic/jobs/4669581008 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 Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. About the role As a Research Engineer on our team you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines. Join us in our mission to develop advanced AI systems pushing the frontiers of science and benefiting humanity. Responsibilities: Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows Collaborate to translate experimental requirements into production-ready infrastructure Develop large scale data pipelines to handle advanced language model training requirements Optimize large scale training and inference pipelines for stable and efficient reinforcement learning You may be a good fit if you: Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems Are a strong communicator and enjoy working collaboratively Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale Have proven track record of building large-scale data pipelines and distributed storage systems Excel at diagnosing and resolving complex infrastructure challenges in production environments Can work effectively across the full ML stack from data pipelines to performance optimization Have experience collaborating with other researchers to scale experimental ideas Thrive in fast-paced environments and can rapidly iterate from experimentation to production Strong candidates may also have: Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.) Background in building infrastructure for AI research labs or large-scale ML organizations Knowledge of GPU/TPU architectures and  language model inference optimization Experience with cloud platforms (AWS, GCP) at enterprise scale Familiarity with VM and container orchestration. Experience with workflow orchestration tools and experiment management systems History working with large scale reinforcement learning Comfort with large scale data pipelines (Beam, Spark, Dask, …) 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: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. MARKETING OPS IS ONE OF ALAN'S HIGHEST-LEVERAGE FUNCTIONS. It sits at the intersection of marketing strategy, data, and technology — turning systems into growth engines and ensuring every touchpoint with prospects and members is timely, relevant, and scalable. Alan is growing fast across France, Belgium, Spain, and Canada. But today we're leaving value on the table. On the prospect side, we drive more traffic but can't convert it properly: no scoring, no intelligent routing, no nurturing that adapts to buying intent. On the member side, messaging is one of our primary touchpoints for engagement, retention, and trust — yet nobody operates it strategically. Personalization stays shallow, communication pressure goes unmonitored, and shipping a message often means filing an engineering ticket. We need Marketing Ops leaders who can architect scalable systems, operate them strategically, and progressively embed AI into workflows — to raise quality, reduce manual execution, and unlock growth without scaling headcount linearly. ⭐️ THE MARKETING OPS JOB ⭐️ We are hiring two Marketing Operations Managers, each embedded in a different crew: - Growth Infrastructure — focused on prospect acquisition: building a unified lead engine that captures, scores, routes, and nurtures across all channels - Product Platform — focused on member lifecycle messaging: operating Alan's messaging stack as a scalable service across 1.7M+ profiles Both roles share the same DNA: strong marketing ops fundamentals, data fluency, a product mindset, and the ability to be both hands-on and strategic. Crew placement will be determined based on the candidate's experience, interests, and fit during the hiring process. Why is this role interesting? - Speed: marketing, product, and sales teams ship campaigns and messages confidently — Marketing Ops turns bottlenecks into force multipliers across every crew - Trust: clean data, governed attributes, proper segmentation, and enforced rules mean the right person gets the right message at the right time - Scale: as we grow to millions of members across multiple countries, we need operators who keep our platforms clean and the user experience protected — without scaling headcount linearly - AI at the frontier: this isn't a maintenance role — you'll identify high-priority use cases for AI agents, train and refine them to a senior marketer's quality bar, and drive real adoption What will you do with us? You'll be a partnership with marketers — not a service desk. You'll partner closely with engineers, data, designers, and cross-functional stakeholders (PMMs, sales, growth, product) within a PM-Tech duo crew model. Regardless of crew, you will own a core set of capabilities: - Marketing Automation & CRM: own and optimize our marketing stack (Customer.io http://Customer.io, CRM integrations); build automations that enable marketers to launch campaigns independently, at scale, across all geos - Data Model & Governance: maintain CRM data quality, attribute/event design, and database hygiene as a sustained practice - Segmentation & Lifecycle Design: design and maintain lifecycle stages, segmentation logic, routing rules, and re-engagement flows across multiple audiences and geos - Nurturing Infrastructure: own the nurturing stack and campaign processes; make launches autonomous and compliant - AI-First Operations: identify, build, and refine AI agents for email copywriting, lead scoring, next-best-action recommendations, and content generation — making marketers AI-powered, not replacing them - Performance Monitoring: track the full funnel from first touchpoint to conversion; identify leakage and prioritize from data - Documentation & Enablement: create playbooks, train teams on tools and processes, reduce the marginal cost of new campaigns Then, depending on your crew: Growth Infrastructure — you'll build a unified lead engine (no more tool-by-tool silos), design lead scoring and routing models, crack multi-channel activation (email, WhatsApp, Voice AI), build AI agents that pre-qualify and enrich leads, and maintain a live feedback loop with BDRs, AEs, and Inbound Sales. Product Platform — you'll operate Customer.io http://Customer.io and back-end triggered emails as one governed system, monitor communication pressure and enforce channel rules, define and enforce recipient lifecycle paths, drive 100% Design Studio adoption, and co-own outbound messaging strategy with PMMs and product teams. By your first year, we'll know it worked when: - At least one AI agent is in production on a key use case (email nurturing, lead categorization, content generation), with a second scoped or live, and adoption is real - Any marketer or product Alaner can launch a campaign or ship a message without bottlenecking through ops or engineering - CRM data model, attributes, and segments are properly owned, documented, and clean — the data we see is data we can act on - Every contact has a documented path through our messaging — segmentation is sharp, messaging is relevant, and pressure is monitored - Marketing's contribution to acquisition and engagement is visible and quantifiable, from first touch to conversion ⭐️ IS IT YOU WE ARE LOOKING FOR? ⭐️ You'll be a great fit for this opportunity if you: - Have 5+ years in Marketing operations, growth ops, CRM ops, lifecycle marketing, or lead generation in a tech environment (B2B, B2C, or B2B2C) - Have hands-on experience managing marketing automation platforms at scale (Customer.io http://Customer.io, Braze, Iterable, HubSpot, Marketo, Pardot, Salesforce, or equivalent) - Have a strong understanding of CRM data models — attribute/event design and data hygiene as a sustained practice - Can frame and implement processes for lead scoring, nurturing, segmentation, and personalization - Have a product knack: you can define what's not working, identify what to build next, and see problems as opportunities to bring more value - Bring data fluency and analytical rigor: you read platform and campaign data, surface anomalies, and draw business insights - Can be both hands-on and think strategically — you drive the big picture while staying close to execution - Have strong stakeholder management skills — you'll partner daily with engineering, product, sales, and marketing teams - Can manage multiple projects simultaneously in a fast-moving environment - Communicate with excellent written and spoken English - Are impact-driven with a strong bias towards improving processes For this opportunity, we are aiming to hire within the C0-D level range https://alan.com/en/careers/a/salary-equity. 🙌 PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary, for permanent contracts only. - Flexible office with hybrid setup. Amazing office space at our Paris HQ or sponsored co-working hubs in Bordeaux, Lyon, Marseille, Nantes, Biarritz, Annecy, Brussels, Madrid or Barcelona. - All the tools you need. Top of the range equipment: Macbook Air, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Generous transit benefit - Learning & Training opportunities. A highly flexible training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents, for permanent contracts only. Important note: we hire people not roles. After reading this job description, if you feel like you don’t have all the necessary prerequisites but that it matches where you are now or what you'd like to grow into in your next position, we encourage you to apply! Not everybody will enter our recruitment process, but all, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

Location: Paris, France; Madrid, Spain; Barcelona, Spain; Bruxelles, Belgium; Workplace: Remote HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE SENIOR REVENUE OPERATIONS JOB Our Business Strategy & Operations team runs the most critical, strategic, and data-driven projects at Alan. It sits at the intersection of Sales, Product, and Finance, and covers four core areas: sales strategy and planning, sales effectiveness, sales enablement, and business segment leadership. You'll be joining the Sales Effectiveness team, whose mission is to make our sales organization run at its best across France, Belgium, Spain, and Canada. This team is a key lever on one of the company's most watched metrics: our customer acquisition cost. Why is this role interesting? - High-impact scope: You'll work across the full sales organization, from Account Executives to BDRs, Account Management, and Customer Success Managers. - Real ownership: You'll own initiatives end to end, from strategy and design to execution and adoption, not just delivery. - Builder's playground: You'll have access to a modern stack, combining low-code tools, AI (Dust, Claude), Salesforce, and SQL, to ship things fast and at scale. - Tangible results: Recent examples from our roadmap include fully automating slide deck generation for Sales (saving 1,000+ hours per year) and building an AI-powered outbound machine reaching a 15% discovery rate. What will you do with us? You'll own effectiveness initiatives end to end, setting the roadmap, designing the solution, building it, driving execution, and managing change across the organization. You'll spend meaningful time in the field to spot gaps in our sales process, then design smarter workflows by eliminating steps and increasing automation. You'll evaluate new tools and technologies, run tests, and roll out what works. You'll mostly work with low-code tools (like Zapier or n8n), AI, Salesforce, SQL via Metabase, and whatever else the job calls for. Enablement is a key part of the role: you'll shadow, train, measure adoption, and iterate until change sticks. Learn more about the exciting challenges tackled by the team by reading this article https://www.linkedin.com/pulse/six-years-alan-most-exciting-revenue-ops-chapter-one-were-bordier-mm7be/ about Carlos Targhetta's role at Alan 👀   ⭐ IS IT YOU WE'RE LOOKING FOR? You'll be a great fit for the Revenue Operations team at Alan if you: - Have at least 5 years of experience in RevOps / Sales Ops / Sales Effectiveness, several of them spent hands-on building the sales machine. You own initiatives end-to-end (scope, design, build, measure); - Demonstrate strong ownership and project management skills, and are comfortable running initiatives; - Have a builder mindset and love being hands-on; - Are confident with change management, including shadowing, training, measuring adoption, and iterating; - Can write and own SQL queries yourself (joins, basic data modeling), not just read them. - Have proven experience with low-code tools and integrations (e.g. Clay, Make, Zapier, or equivalent) to build scalable workflows - Have configured Salesforce yourself (objects, fields, flows) and can say what you personally built vs. what an integrator or another team did. - Are able to build and maintain pipelines that produce actionable insights, with clear business impact - Have excellent verbal and written communication skills; - Have at least an advanced level in English. - Are based in (or willing to relocate to) Paris, Madrid, Barcelona or Brussels. For this role we are looking to hire within the C1-E level range https://alan.com/en/careers/a/salary-equity. EVERYTHING ELSE IS A PLUS. WE CARE ABOUT HAVING A DIVERSITY OF EXPERIENCES, PROFILES AND BACKGROUNDS IN OUR TEAM. 🙌 PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary, for permanent contracts only. - Flexible office with hybrid setup. Amazing office space at our Paris HQ or sponsored co-working hubs in Madrid, Barcelona or Brussels. - All the tools you need. Top of the range equipment: Macbook Air, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Generous transit benefit - Learning & Training opportunities. A highly flexible training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents, for permanent contracts only. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. #LI-DNP

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE SENIOR REVENUE OPERATIONS JOB Our Business Strategy & Operations team runs the most critical, strategic, and data-driven projects at Alan. It sits at the intersection of Sales, Product, and Finance, and covers four core areas: sales strategy and planning, sales effectiveness, sales enablement, and business segment leadership. You'll be joining the Sales Effectiveness team, whose mission is to make our sales organization run at its best across France, Belgium, Spain, and Canada. This team is a key lever on one of the company's most watched metrics: our customer acquisition cost. Why is this role interesting? - High-impact scope: You'll work across the full sales organization, from Account Executives to BDRs, Account Management, and Customer Success Managers. - Real ownership: You'll own initiatives end to end, from strategy and design to execution and adoption, not just delivery. - Builder's playground: You'll have access to a modern stack, combining low-code tools, AI (Dust, Claude), Salesforce, and SQL, to ship things fast and at scale. - Tangible results: Recent examples from our roadmap include fully automating slide deck generation for Sales (saving 1,000+ hours per year) and building an AI-powered outbound machine reaching a 15% discovery rate. What will you do with us? You'll own effectiveness initiatives end to end, setting the roadmap, designing the solution, building it, driving execution, and managing change across the organization. You'll spend meaningful time in the field to spot gaps in our sales process, then design smarter workflows by eliminating steps and increasing automation. You'll evaluate new tools and technologies, run tests, and roll out what works. You'll mostly work with low-code tools (like Zapier or n8n), AI, Salesforce, SQL via Metabase, and whatever else the job calls for. Enablement is a key part of the role: you'll shadow, train, measure adoption, and iterate until change sticks. Learn more about the exciting challenges tackled by the team by reading this article https://www.linkedin.com/pulse/six-years-alan-most-exciting-revenue-ops-chapter-one-were-bordier-mm7be/ about Carlos Targhetta's role at Alan 👀   ⭐ IS IT YOU WE'RE LOOKING FOR? You'll be a great fit for the Revenue Operations team at Alan if you: - Have at least 5 years of experience in RevOps / Sales Ops / Sales Effectiveness, several of them spent hands-on building the sales machine. You own initiatives end-to-end (scope, design, build, measure); - Demonstrate strong ownership and project management skills, and are comfortable running initiatives; - Have a builder mindset and love being hands-on; - Are confident with change management, including shadowing, training, measuring adoption, and iterating; - Can write and own SQL queries yourself (joins, basic data modeling), not just read them. - Have proven experience with low-code tools and integrations (e.g. Clay, Make, Zapier, or equivalent) to build scalable workflows - Have configured Salesforce yourself (objects, fields, flows) and can say what you personally built vs. what an integrator or another team did. - Are able to build and maintain pipelines that produce actionable insights, with clear business impact - Have excellent verbal and written communication skills; - Have at least an advanced level in English. - Are based in (or willing to relocate to) Paris, Madrid, Barcelona or Brussels. For this role we are looking to hire within the C1-E level range https://alan.com/en/careers/a/salary-equity. EVERYTHING ELSE IS A PLUS. WE CARE ABOUT HAVING A DIVERSITY OF EXPERIENCES, PROFILES AND BACKGROUNDS IN OUR TEAM. 🙌 PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary, for permanent contracts only. - Flexible office with hybrid setup. Amazing office space at our Paris HQ or sponsored co-working hubs in Madrid, Barcelona or Brussels - All the tools you need. Top of the range equipment: Macbook Air, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Generous transit benefit - Learning & Training opportunities. A highly flexible training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents, for permanent contracts only. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's enterprise market. You'll own the full sales cycle from prospecting to close, working with C-level executives at major Japanese corporations to help them transform their businesses with Anthropic's AI solutions. Responsibilities: Own and exceed revenue targets by winning new enterprise accounts and expanding existing relationships across Japan Build and execute territory plans, identifying high-value opportunities in key Japanese industries including financial services, healthcare, technology, and manufacturing Lead consultative sales processes with C-suite and senior technical stakeholders, positioning AI as a strategic business transformation driver Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver customized solutions for complex enterprise requirements Identify new use cases and contribute to Japan go-to-market strategy, providing critical feedback to shape product roadmap and regional approach Translate technical AI capabilities into compelling business value propositions tailored to Japanese market needs You may be a good fit if you have: 8+ years of enterprise sales experience in Japan driving adoption of emerging technologies with a consultative, solutions-oriented sales approach Native-level Japanese fluency and business-level English required A track record of managing complex sales cycles and securing strategic deals in the Japanese market by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate Japanese enterprise stakeholder ecosystems, building consensus through relationship-building and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders in Japanese corporate environments Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills in both Japanese and English, with the ability to present confidently and build connections across all customer levels, from individual contributors to C-level executives A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments A strategic, analytical approach to assessing Japanese markets combined with creative, tactical execution to capture opportunities in key industries Deep understanding of Japanese business culture, enterprise buying processes, and regulatory landscape A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Strong candidates may have: Experience selling emerging technologies (AI/ML, cloud platforms, or data analytics) to Japanese enterprises Established relationships with senior executives at major Japanese corporations Experience navigating Japanese procurement processes and working with system integrators Understanding of AI/ML concepts and ability to discuss technical architectures What We Offer Competitive base salary and commission structure commensurate with experience Equity participation Comprehensive benefits package Hybrid work model with flexibility Opportunity to shape the future of AI adoption in Japan Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Partner Account Manager ANZ you will help manage and execute the partnerships that accelerate Claude adoption, unlock new capabilities and drive outcomes for our joint customers across Australia and New Zealand. You will own a defined set of named partners end to end — a mix of (a) in-country ANZ practices of our global system integrators (e.g. Accenture, Deloitte, Cognizant) and consulting houses (BCG, McKinsey), where you work hand in hand with the GSI alliance owners who hold the global relationships, and (b) regional system integrators, consultancies and AI-native boutiques that ANZ enterprises and the Public Sector actually consume delivery services from. The ANZ partner book is split between you and the Head of Partnerships ANZ & ASEAN; for every partner assigned to you, you own the plan, the enablement path, the co-sell motion with our ANZ sales team and the partner-sourced, partner-influenced and partner-delivered pipeline that results from it. This is a builder role: partner-sourced pipeline in ANZ is still a small fraction of our open pipeline, and there is a first playbook but no established machine. We need someone who has taken partnerships from zero to a repeatable revenue engine in this market before, not someone who has inherited and administered an existing partner book. Key responsibilities Partner development and execution: Run each partner as a structured pursuit: stakeholder map (country lead, AI/data practice lead, alliance lead, key account partners), joint account plan, agreed target accounts and a quarterly cadence. For your assigned GSI country practices: activate the ANZ teams against the global frameworks and translate them into concrete joint accounts. For your assigned regional SIs / boutiques: build the relationship from scratch (selection, onboarding into the Claude Partner Network, enablement, first joint deals). Guide partners in building repeatable Claude offerings (Claude Code / agentic engineering rollouts, agentic use cases, enterprise adoption programs) for the priority ANZ industries: financial services and insurance, public sector, retail, energy and resources, healthcare, telco, media and tech, and digital natives. Drive co-selling with the ANZ AEs, Applied AI and Technical Success teams: introduce partners into the right accounts, bring partner-sourced opportunities to sales, and make sure every partner-attached deal is tagged correctly in Salesforce. Performance and KPI ownership: Own and drive the KPIs for your portfolio: Partner delivered use-cases, partner-sourced pipeline, partner-influenced pipeline and revenue, consultants enabled and certified, partners progressing through CPN tiers, joint proposals submitted. Establish clear success metrics with each partner and drive regular business reviews against targets Report on partnership health, progress, and commercial outcomes with data-driven insights Every deal that runs through your partners must be set up for customer success and expansion: agree success criteria for joint accounts, make sure the partner delivers implementation and adoption support, and feed what you learn back into our partner program and the ANZ sales team. Market development and brand building Represent Anthropic in the ANZ partner ecosystem — partner events, joint customer events, and partner-led marketing. Adapt the global partner playbook to ANZ buying behaviour (a concentrated enterprise market of banks, miners, retailers and telcos, federal and state government panels, long procurement cycles, and a preference for local delivery partners) and decide deliberately what not to copy. Navigate the regulatory and sovereignty topics that come up in almost every ANZ deal (the Australian and NZ Privacy Acts, APRA CPS 230 and CPS 234, IRAP and government security requirements, critical infrastructure rules, data residency, and regulated industries such as banking, insurance and health) together with the partner and our internal experts. Build differentiated joint value propositions with partners so that Claude is the default recommendation of the ANZ consulting ecosystem. You may be a good fit if you have: Builder mentality — comfortable starting from a small base and turning it into a scaled partner business; you enjoy doing the work yourself. 7+ years of partner / alliances / channel experience with system integrators and consultancies in ANZ, ideally at a cloud, data or AI platform company. Existing relationships in the ANZ practices of the large SIs and/or with the regional consultancies and boutiques — you know who runs the AI and data practices in Australia and New Zealand. Data-driven, KPI-oriented and comfortable being measured on partner-sourced pipeline; a track record of driving incremental revenue through partners in ANZ. History of protecting the customer experience and the brand through partners — you say no to partners that cannot deliver. Competitive drive — obsessed with winning and creating differentiation Collaborative — you work as an extension of the ANZ sales team and with Applied AI, Technical Success, partner marketing and the global GSI alliance owners. Strong executive presence; able to run partner executive conversations and enablement sessions. Based in Australia, ideally Sydney; Melbourne or Brisbane are feasible with regular time in Sydney. Willing to travel regularly within Australia and New Zealand, and occasionally to Europe and USA. Passion for AI and alignment with Anthropic's mission of beneficial AI development Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Many of the people who could gain the most from Claude are the least able to buy it the usual way. A teacher often pays for tools out of pocket. A small nonprofit has no procurement team. A university lab that wants to use Claude has to go through funding, an IT office, and a purchasing department at once. Beneficial Deployments works to reach them, through programs like Claude for Teachers and Claude for Nonprofits and through our work with researchers. What stands between those people and Claude is rarely the model. It's proving they qualify, getting the right price, buying in a way their institution allows, and landing in the right organization with the right permissions. Those steps run through identity, billing, provisioning, and fraud systems that were built for commercial customers. Our Access team makes them work for everyone else. We're looking for engineers who find it deeply satisfying to remove the one thing stopping thousands of teachers or scientists from getting started. You'll work in other teams' codebases as often as our own, and much of the job is earning the trust of the engineers, accountants, and safety reviewers who own those systems. This role's focus is access. Experience with billing or identity is a big plus. What matters most is that you finish hard things that cross team lines, get the details right when money and trust are involved, and care about who is on the other end. Core Responsibilities: Own programs like Claude for Teachers or Claude for Nonprofits from design through launch, operation, and support Support the verification lifecycle: how educators, nonprofits, and research labs prove eligibility, get reviewed at scale, renew, and are removed fairly when they no longer qualify Build pricing, billing, and provisioning that understands programs, including discounts, usage caps, credits, tax exemption, and self-serve purchase, so the next program is configuration rather than a project Build safe paths for organizations to move between their available plans and manage their teams, without losing data, seats, or history Work directly in partner teams' systems, such as billing, identity, and Safeguards Design for trust, with controls and audit trails that stand up to financial audit and student-privacy requirements Turn manual review, one-off fixes, and hand-run testing into tools that support, sales, and finance can use themselves Share on-call for program issues, and use what you see there to decide what to build next You might be a good fit if you: Have 6+ years of experience building software, with strong backend or full-stack skills and solid grounding in data modeling, APIs, and databases Have owned systems where mistakes are expensive, such as billing, payments, identity, entitlements, provisioning, or eligibility Have a track record of finishing work that depended on several teams, without formal authority over any of them Are comfortable in a large codebase you don't own, and learn the rules its owners care about Sweat correctness and edge cases, and can say clearly what you tested and what you didn't Enjoy unblocking people and closing things out, and leave the underlying system better each time Prioritize well when demand is larger than capacity, including saying no and explaining why Communicate clearly across engineering, finance, sales, and support, and care about the societal impacts of your work Strong candidates may also: Experience with subscription or usage-based billing, quote-to-cash, tax, or revenue systems, such as Stripe, Metronome, or Salesforce CPQ, or with building under SOX controls Experience with verification, KYC, fraud, or trust and safety systems Experience with enterprise identity and administration, such as SSO, SCIM, or large account and data migrations Experience building for schools, nonprofits, research institutions, healthcare, or government, or working with FERPA or similar privacy rules Experience launching in new countries, including currency, tax, language, and local eligibility Experience building products with large language models, or using coding agents heavily in your own engineering work 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: $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude Design lets anyone collaborate with Claude to create polished visual work: interactive prototypes, product mockups, slides, and animations. We're making Claude the best visual storyteller there is, lowering the floor so anyone can bring an idea to life, and raising the ceiling on what the most skilled creators can make. We work on Artifacts in Claude, and so far we've shipped new kinds of artifacts like Claude Design, Slides, Whiteboard, and Motion, and we are exploring new bets. We're looking for Software Engineers to help build and shape Claude Design and the creative capabilities of Claude. We are exploring the frontier of how Claude collaborates with people visually, and how Claude can empower better human to human collaboration as well. You'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, partnering directly with researchers and users, and helping to generate the crucial insights that shape where the product goes next. You'll join a small, fast-moving team with high autonomy. If you're a strong design engineer who loves building visual products and likes to sweat the details, we'd love to hear from you. Key responsibilities Build and ship user-facing features across our products, and help decide which creative spaces we explore next Set technical direction for these products, including editor and canvas architecture, real-time collaboration, and rich import and export Own the quality bar for how these products look and feel, treating latency, responsiveness, and reliability as first-class concerns and raising user experience and design considerations early Partner with researchers to rapidly prototype experiences around vision and generation capabilities, and help improve the quality of what Claude generates Spend time with users and dig into how people actually use what you ship, then turn what you learn into what we build next Build the shared foundations that let us launch new creative tools quickly and make them work well together Minimum qualifications Strong design sensibility and a high bar for craft, including attention to interaction details, motion, and polish Ability to thrive in ambiguity and be energized by uncertainty High agency, good judgment about what matters, and a bias toward shipping A deeply user-centric approach: you validate ideas with actual users before over-investing and talk about problems before solutions Strong opinions held loosely: you advocate forcefully for ideas but change your mind based on evidence Care for Anthropic's mission and the societal impacts of your work Preferred qualifications Extensive experience working with or building visual collaboration and creative tools Experience with UI and UX for AI-powered applications, and fluency collaborating closely with designers Background conducting user research, interviews, and usability testing Experience building and shipping products from 0 to 1 Experience building product platforms, primitives, or shared foundations that other products and teams build on top of Performance optimization experience, such as profiling, improving rendering, and tracing end-to-end latency The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security and control commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building continuous assurance, to challenge and evidence the performance of controls continuously rather than through periodic audits. As Anthropic scales to meet public-company standards, the Sarbanes-Oxley (SOX) control environment over our technology stack is one of the most consequential things this team will drive. Within Security GRC's technical controls assurance function, you will be a hands-on senior contributor on what the IT general controls must achieve to support SOX 404 compliance. You will work as a peer to Internal Audit's IT SOX team: Internal Audit tests independently, and you define the control requirements, monitor that controls operate, and make sure evidence is audit-ready before Internal Audit and our external auditors test it. You will pair with Engineering, Security, IT, and Finance as they design and implement against those requirements, and validate that what ships actually meets the bar. You will also work with GRC engineering to automate evidence collection and continuous monitoring, starting with ITGCs and extending into other areas of security and compliance. This role reports to the Head of Security Controls Assurance and is well suited to someone who wants to stay close to the work and change how a frontier AI company builds its compliance infrastructure. Key responsibilities Define control requirements and acceptance criteria across the core ITGC domains of logical access, change management, operations, and program development for SOX in-scope systems, including home-built platforms where the control has to be designed into the system. Set the bar for in-scope systems from day one. As financially significant systems are built, migrated, or replaced, define what the system must provide before go-live, and assess SDLC controls for new system implementations and changes so controls are not retrofitted after the fact. Pressure-test changes for SOX impact during design. Review major infrastructure, system, and agent framework changes for control impact while decisions are still cheap, and keep a clear view of which changes alter the SOX scope, key control population, or evidence requirements. Perform second-line monitoring and readiness testing. Test key ITGCs and IT automated controls (ITACs) ahead of Internal Audit and the external auditors, including walkthrough preparation and validation that populations are complete and accurate, and support the move from manual to automated control reliance. Build continuous monitoring and evidence readiness with GRC engineering. Stand up automated evidence collection and monitoring for ITGCs, map controls to the common controls framework, and materially raise automated evidence coverage while cutting audit prep time. Run system and process risk assessments. Identify control gaps in in-scope systems and processes, and recommend remediation that engineering owners can act on. Drive control deficiency remediation with cross-functional partners. Track and root-cause ITGC deficiencies surfaced by monitoring, Internal Audit, or external audit; partner with engineering owners on remediation design; and assess whether remediation actually closes the gap before re-testing. Support the external audit with Finance and Internal Audit. Prepare walkthroughs, evidence requests, and testing schedules on management's side, and keep the line clear between your monitoring and Internal Audit's independent testing. Assess scope changes through a SOX lens. When new products, entities, systems, or integrations come into scope, assess their impact on control design, evidence requirements, and engineering effort before commitments are made. Maintain alignment with the broader compliance portfolio. Support the controls and evidence behind SEC cybersecurity disclosure requirements. You may be a good fit if you Thrive at the pace of a hypergrowth company. You're comfortable making calls with incomplete information and reprioritizing as scope shifts. Have been a senior contributor to an ITGC program through SOX 404 readiness and/or at a public company, with a working command of PCAOB AS 2201, COSO 2013, and how external auditors scope, test, and evaluate technology controls and deficiencies. Have hands-on IT audit or IT SOX experience designing, testing, and documenting controls across access management, change management, and operations. Have hands-on engineering fluency, possibly from an earlier engineering career: you can read code and Terraform, follow a CI/CD pipeline end to end, and challenge a design on its technical merits. Have deep familiarity with developer platforms, release engineering, cloud infrastructure, or ERP/financial systems control domains. Are a strong collaborator and communicator across Finance, Engineering, Internal Audit, and external auditors, and can work independently on complex workstreams while keeping senior stakeholders informed. Use Claude and other LLMs as daily working tools, and have grounded, specific views on which SOX assurance workflows AI can run today and which it can't yet. Translate SOX and framework language into acceptance criteria engineers can build against, and translate engineering reality back into assurance language auditors and leadership can rely on. Default to getting the requirement designed into the system rather than papering over the gap with procedure. Strong candidates may have A combination of audit or advisory experience (Big 4 or equivalent, ideally IT audit) with in-house experience at an AI-forward tech company, in either order. 12+ years of hands-on IT audit and SOX compliance experience. Taken a company through a first-year SOX 404(a) and 404(b) assessment, including a first external ITGC audit. Experience at a pre-IPO or newly public technology company. Defined or assessed controls over home-built financially significant systems, usage-based billing, or revenue metering pipelines. Defined or assessed controls for AI/ML systems or agents acting in production environments. Stood up continuous controls monitoring or automated evidence programs. Experience with SOC 1 reliance, service organization control mapping, and complementary user entity controls. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Spain Paired is a global recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. About Our Clients Our client is the founder of a Dubai-based agency operating in a fast-paced international environment. The founder moves fast, communicates directly, and has very high standards. The right person for this role genuinely enjoys operating in high-responsibility environments and takes pride in making chaos look effortless. This role is for someone who is naturally proactive, highly organized under pressure, emotionally steady, and extremely responsive. You will be managing personal logistics, travel, scheduling, household coordination, and lifestyle operations with minimal oversight. If you need step-by-step instructions, frequent check-ins, or structured corporate environments, this role will not be a fit. Responsibilities Coordinate personal travel arrangements including flights, accommodations, transportation, restaurant reservations, and itineraries Manage personal scheduling including medical appointments, fitness sessions, grooming, and other lifestyle commitments Handle visa renewals, residency documentation, licenses, and other personal administrative requirements proactively Coordinate household-related operations including vendors, maintenance, deliveries, installations, repairs, and property-related communication Manage personal errands, sourcing requests, returns, exchanges, and gift procurement Communicate with external stakeholders including accountants, lawyers, building management, concierge services, and vendors Handle time-sensitive and last-minute logistical requests efficiently Maintain accurate calendar management across different time zones Anticipate problems before they arise and execute solutions independently Ensure a high level of confidentiality, professionalism, and discretion at all times High-Level Execution Proactively identify and resolve challenges before they arise Work autonomously and make confident, well-informed decisions swiftly Communicate with clarity, precision, and professionalism Uphold the highest standards of discretion and confidentiality consistently Remain composed and effective in high-pressure situations Exude natural assertiveness with a calm and measured approach Bring extensive experience working remotely over multiple years Possess in-depth knowledge of the hospitality, luxury, and travel industries Efficiently coordinate and manage international vendors independently Requirements At least 2 years of experience supporting a founder, executive, entrepreneur, or C-level professional Availability across Dubai and European time zones required Strong experience working remotely across multiple time zones Polished, presentable and professional appearance Socially sophisticated, boasting high emotional intelligence Proven track record in affluent and high-achieving settings Must be highly responsive, detail-oriented, and reliable Excellent spoken and written English with strong communication skills Strong organizational skills with the ability to manage multiple priorities simultaneously Highly proactive, resourceful, and capable of operating independently without constant supervision Comfortable working in a high-responsibility environment with changing schedules and urgent requests Strong internet research and problem-solving skills Able to maintain professionalism and composure under pressure Experience coordinating international travel and lifestyle logistics is highly preferred Candidates with only junior VA or entry-level administrative experience may not be considered This Role Is NOT a Fit For: Junior VAs looking for training Candidates who require constant direction People who struggle with urgency or changing priorities Candidates who prefer highly structured corporate environments Candidates unavailable outside rigid working hours Applicants without prior executive/founder support experience Benefits Competitive salary. Work with fast-scaling, premium brands Fully remote role with a dynamic, growth-driven team Clear opportunities for career growth and advancement

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role There are close to a billion knowledge workers in the world, and only a small fraction of them have worked with AI that makes them better at what they do. In the enterprise, reaching the rest depends on the IT, security, and business leaders who decide whether to adopt AI, and the admins who decide how it's deployed, governed, and scaled across their organizations. They ask hard questions before they say yes, and this role owns how we answer them. We're looking for a Product Marketing Manager to own positioning for Claude's core knowledge-work products (Chat, Cowork, and the broader non-coding suite) for enterprise decision makers and admins. You'll work across the areas that matter most to enterprise customers today: security and observability, workspace management and deployment controls, and pricing and packaging. You'll own the materials that help a decision maker or admin understand what's possible, roll Claude out with confidence, and make the case internally, including product launches, the website, pitch decks, battlecards, persona narratives, pricing and packaging story, and admin communications. Beyond making the case for adopting AI, you'll help the people accountable for deploying it do that safely, and show them exactly how to put it to work across their organizations. This is an individual-contributor role for someone who loves the hands-on work of product marketing, on products with enormous, established usage and a fast launch cadence. You'll write the positioning doc, build the battlecard, and ship the persona work yourself, and you'll use Claude to keep it all current, so the teams that depend on it can trust it. This role is for you if you've owned the full product marketing stack for a widely used enterprise product and know how to speak credibly to business, IT, and security audiences. You probably also turn your own PMM work into systems rather than one-off documents, and you want your writing to be the reason enterprise decision makers and admins say yes to rolling out and scaling Claude. Key responsibilities Define the story that earns enterprise trust. Own the positioning and messaging house for Chat, Cowork, and Claude's core knowledge-work products for admins, so every deck, campaign, and piece of content makes the same case for adopting and scaling Claude. Own the story for how enterprises run Claude. Lead positioning and launches across security and observability, workspace management, and the controls for managing deployments, working with Product to turn new capabilities into clear reasons to adopt and expand. Give sellers the conviction to close. Build and maintain the sales enablement assets (pitch decks, battle cards, objection handling) that help GTM answer security, deployment, and pricing questions with confidence. Help decision makers and admins make the call. Own the proof points, comparisons, and narratives that help decision makers, admins, and their IT and security teams evaluate Claude and justify the investment and rollout internally. Make our pricing and packaging easy to understand and buy. Partner with Product, Finance, and GTM on how we present plans, pricing, and packaging for Claude Enterprise, and build the cost and value story that helps customers make the case to scale. Make sure the message reaches the right person, in their language. Develop ICP and persona frameworks that cover a varied base of enterprise decision makers and admins (executive buyers, IT, security, compliance, and workspace owners) in enough detail to shape messaging and campaigns for each one. Make our website answer buyers' questions. Own the website and product page messaging for Claude Enterprise, including how we present admin controls, security, governance, and plans and pricing. It's often where a buyer or admin decides whether to take a closer look. Turn scattered wins into a playbook others can run. Build libraries of top enterprise deployment and admin use cases by product and by function or industry, so the best examples of successful rollouts become patterns anyone can copy. Prepare admins for what's next. Partner with Product and Comms on enterprise launches so admins know what's changing, what controls they have, and what to do next, through clear admin communications, help content, and ongoing education. Keep every team telling the same story. Partner closely with GTM, Marketing, and Partners so they're always working from current, consistent materials. "Claudify" our own foundations. Use Claude, including Skills and automations, to build systems that keep positioning, messaging, personas, and enablement current, so you're working the way we ask our customers to work. Support analyst relations. Contribute materials for the enterprise knowledge-work portfolio where they overlap with your positioning and messaging work. Minimum qualifications Have owned positioning and messaging for an established enterprise software product, with decision makers and IT, security, or admin teams as a core audience Have worked on enterprise pricing and packaging, including how plans are presented, how changes are communicated, and how the value story holds up with buyers Have built ICP and persona frameworks and translated research into messaging that works across websites, collateral, campaigns, and content Have built sales enablement assets and worked directly with sales teams on objection handling and win/loss analysis Understand how enterprises evaluate, buy, deploy, and govern software, including identity and access, security and compliance review, data governance, observability, workspace management, and usage and spend controls Have strong writing and storytelling skills, with the ability to make technical topics clear and adapt tone and complexity across formats like pitch decks, web copy, battlecards, and admin communications Are comfortable operating autonomously as an IC, writing and shipping assets directly rather than through a team Demonstrate systems thinking, and the ability to move fast and with conviction in an always-evolving environment Are well-versed in using AI, especially Claude, to inform and automate product marketing work, and have built systems that update PMM foundations and share them with the teams who depend on them Have experience marketing AI or productivity software to enterprise decision makers and IT, security, or admin audiences Preferred qualifications 7+ years of product marketing experience with experience as a Senior PMM or PMM Lead at an enterprise productivity, collaboration, or knowledge-work software company with ownership of admin, security, platform, or pricing positioning Experience marketing to customers in regulated industries (e.g., financial services, healthcare) Experience building admin education or community programs Experience with analyst relations processes and reports (e.g., Gartner, Forrester) Experience with usage-based or consumption pricing Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. 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: $255,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role How do we know whether a model is safe - and how do we know whether the systems we built to catch misuse actually catch it? Anthropic answers both questions with evaluations. We measure model behavior across misuse, prompt injection, and user well-being to inform training and deployment decisions. We also use AI to investigate potential misuse of Claude, analyzing real-world traffic to surface bad actors and emerging threats that drive enforcement actions. Neither is worth much unless the evaluations behind them are representative, robust, and trustworthy. This role builds the methods and infrastructure that make them so. Sitting at the intersection of applied ML research and engineering, you'll design experiments to improve how we evaluate both model behavior and the agentic systems that govern it, build datasets that represent real abuse rather than clean approximations of it, and ship those methods into the pipelines that gate model training, agent changes, and launch decisions. Responsibilities Evaluation research and methodology. Design and run experiments to improve evaluation quality — developing methods to generate representative test data, simulate realistic user behavior, and validate grading accuracy. Research how different factors (multi-turn conversations, tools, long context, user diversity) impact model safety behavior. Analyze evaluation coverage to identify measurement gaps, and evolve evals so they remain unsaturated and high-signal as model and agent capabilities advance. Agentic investigation evals. Build and own the evaluation harness for an agentic investigation system — defining metrics, test cases, and grading approaches for a complex, long-horizon agent. Measure agent performance end-to-end (detection precision and recall, investigation quality, robustness) and drive hill-climbing on the hardest harm areas. Construct RL environments to improve Claude's safety investigation capabilities. Datasets grounded in real harm. Construct high-quality eval datasets representing real-world misuse across harm areas such as cyber attacks, bio weapons, and influence operations, drawing from both real traffic patterns and synthetic generation. Collaborate with Policy and Enforcement to translate observed harm patterns into measurable evaluations. Productionization and tooling. Ship successful research into evaluation, regression, and release pipelines that run during model training, on every agent change, prompt update, and underlying model upgrade, and beyond launch. Build tooling that enables policy experts to author, run, and iterate on evaluations without engineering support. Surface findings to research and training teams to drive upstream model improvements. Minimum qualifications Experience building and maintaining data pipelines Experience working with LLMs and a working understanding of their capabilities and failure modes — especially agentic systems with tool use and multi-step reasoning Strong data analysis skills — you can draw reliable insights from large datasets Ability to move fluidly between research prototyping and production-quality code Ability to translate ambiguous problems into concrete, testable experiments Care deeply about AI safety and want your work to have real impact Preferred qualifications 8+ years of industry software engineering or ML engineering experience Expertise in building or contributing to LLM or agent evaluation frameworks, benchmarks, or automated grading systems Extensive experience in trust and safety, content moderation, or abuse detection systems Experience in red teaming, adversarial testing, or jailbreak research on AI systems Experience with synthetic data generation or data augmentation Experience with distributed systems or large-scale data processing Experience with prompt engineering or building LLM-powered applications The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ WHY WE ARE HIRING ⭐️ We’re opening an Enterprise Sales Team Lead role in France to lead a growing team of 4 Senior Account Executives, who are in charge of acquiring customers with more than 3,000 employees, including all CAC40 companies. In this role, you will own acquisition on the Enterprise segment in France and run the business end‑to‑end: you will be hands-on on the field while coaching and scaling a team of Account Executives to win this market. This position sits at the heart of our growth ambition: We have just passed the one million member milestone – and this is only the beginning! We’re accelerating acquisition in France and doubling down on our portfolio — and the Enterprise segment is one of the core pillars of that plan. ABOUT THE ENTERPRISE SEGMENT - Perimeter: companies of 3000+ employees - Verticals: all Verticals (Tech, Retail, Industrial Companies etc) - Total Addressable Market: ~7M members in France WHY ENTERPRISE SALES IS EXCITING AT ALAN - Diverse workforce: Mix of 60% cadres / 40% non-cadres, often with subsidiaries or multi-site operations, ranging from highly tech-savvy employees to those requiring digital adoption support. - Critical challenges: Multi-stakeholder decision processes involving HRD, CFO, CEO, Payroll, CSE, Legal, Purchasing, Comp & Ben, Accounting, Brokers, Unions, long sales cycles (multi-year conversations), RFP processes requiring deep audits and product customization, and strong influence from unions/CSE who can co-manage health insurance topics; - Company profiles: Flagship companies (widely known brands), groups with standalone entities or subsidiaries, often with focus on employee wellbeing (QVT programs, Great Place to Work), modern company culture, and strategic communication about digitization or employer brand attractiveness; - HR priorities: Increasing productivity, obtaining fair and competitive pricing, contributing to employee well-being through customized health plans, simplifying HR processes with digital platforms, and managing change management concerns when implementing new health insurance (biggest fear for large companies) - Critical business characteristics: This segment requires breadth & depth of expertise to navigate complex organizations, account-based strategies with Key Account Management approach, early engagement in company roadmaps, face-to-face meetings, co-creation of insurance and digital products (tailored offers considering past results, specific regimes, demographics, payroll system integration), and ability to work through RFPs and with brokers. Sales cycles are volatile with high stakes: 1 deal = 50% of annual target for Enterprise Account Executives. Our approach for Enterprise companies positions Alan as a strategic partner in health rather than just an insurance provider, emphasizing our digital platform for fluid UX, customized health plans at fair pricing, and health/well-being services. Success requires leveraging high-level connections, building professional materials, and potentially creating exclusive "Health Clubs" or labels for early adopters. ⭐ WHAT YOU WILL DO ⭐ You will be the Sales leader of the Enterprise Sales team in France, responsible for both hitting the numbers and scaling the machine. More precisely, you will: - Own the Enterprise acquisition plan in France. Design and execute the go‑to‑market strategy for 3000 employee customers, from targeting to closing, to reach ambitious acquisition targets and scale the segment. - Lead & coach a team of 4 Account Executives (and likely more to come) - Drive hiring, onboarding, and career development as we scale the crew and the segment. - Help each team member reach their targets with clear expectations, rigorous follow‑up, and ongoing coaching on methodology, deal execution, and pipeline management. - Be on the field with the team: prospecting, joining key meetings, supporting tough negotiations, and owning strategic opportunities to maximize win rates. - Empower every member of the team: Create the conditions for everyone to reach and exceed their goals: strong feedback culture, coaching, clear ownership, and autonomy. - Ensure market fit and remove blockers: Surface customer expectations, patterns, and blockers, and ensure they’re addressed through the right strategic and execution plans (product, pricing, ops, marketing, etc.). For this opportunity, we are aiming to hire within the F-G level range https://alan.com/en/careers/a/salary-equity. ⭐ IS IT WHAT YOU ARE LOOKING FOR? ⭐ You may be a great fit at Alan if you: - Have at least 10 years experience in B2B sales, with a proven track record of hitting and exceeding targets as an Account Executive and Sales Leader - Have experience leading and coaching sales teams, with the ability to set a high bar, give clear direction, and help people grow - Have full working proficiency in French, and advanced level in English for internal communication - Have a very hands‑on mentality: you love being on the field with your team, joining customer meetings, helping on tough negotiations, and sharing what works - Have experience selling to Enterprise level companies (3000+ employees and above) in multi‑stakeholder deals - Are comfortable operating in fast‑paced, ambiguous environments, and can prioritize ruthlessly - Are data‑driven and analytical: you know how to leverage KPIs to drive performance, run analyses, and make decisions - Have strong cross‑functional collaboration skills and appetite for building things with others (sales ops, marketing, etc.) - Are based (or willing to relocate to) the Paris area Nice-to-have: - Experience selling to HR or Finance . 🙌   PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.  Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary, for permanent contracts only. - Flexible Office. Amazing office space at our Paris HQ - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance. Extremely comprehensive health insurance - 100% of the contribution covered by Alan for you and your family, for permanent contracts only. - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Parental leave. Extended parental leave for all new parents, for permanent contracts only. IMPORTANT NOTE: WE HIRE PEOPLE NOT ROLES.  After reading this job description, if you feel like you don’t have all the necessary prerequisites but that it matches where you are now or what you'd like to grow into in your next position, we encourage you to apply! Not everybody will enter our recruitment process, but all, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

Location: Rwanda About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. About the Role GiveDirectly Rwanda is looking for a creative, skilled, and dependable Field Officer in Content Creation. The Field Officer - Content Creation will be responsible for capturing, editing, and producing high-quality photo and video content that tells compelling stories about GiveDirectly's work and the experiences of the communities we serve. We are looking for someone who is hands-on, has strong technical production skills, and can independently manage assigned content projects from filming through to final delivery. The ideal candidate combines creativity with attention to detail, takes ownership of their work, and is eager to continue developing their skills. Key Responsibilities 1. Photography and Videography Capture high-quality photographs and video footage during field visits, interviews, events, and other organizational activities. Set up and operate cameras, microphones, lighting, and other production equipment. Apply good composition, framing, lighting, and sound-recording techniques. Work with the Content Team to plan shoots and ensure the required footage and photographs are captured. 2. Video Editing and Content Production Edit raw footage into engaging, well-structured videos that communicate clear and compelling stories. Produce content for different platforms, including social media, presentations, reports, and other communication channels. Incorporate subtitles, graphics, music, transitions, and other visual elements where appropriate. Edit and enhance photographs while maintaining authenticity and visual quality. Ensure final content meets agreed quality standards, formats, and deadlines. 3. Storytelling and Content Quality Turn interviews, field footage, and other material into engaging stories that reflect GiveDirectly's work and impact. Work with colleagues to develop story ideas and identify the most effective ways to present content. Review content for accuracy, clarity, consistency, and technical quality before submission. Incorporate feedback and make revisions efficiently. Ensure content respects the dignity, privacy, and experiences of recipients and follows organizational consent and safeguarding requirements. 4. Content Management and Team Collaboration Organize and maintain raw footage, photographs, project files, and final edited content. Manage assigned projects, prioritize tasks, and deliver work within agreed timelines. Provide regular progress updates, respond promptly to work-related communications, and flag potential delays early. Collaborate with colleagues across the Content, Program, and other relevant teams. Take responsibility for production equipment and ensure it is properly maintained and handled. Required Skills and Experience Demonstrated practical experience in photography, videography, and video editing, supported by a portfolio of previous work. Strong ability to operate cameras and basic audio and lighting equipment, with a good understanding of exposure, focus, framing, and sound recording. Ability to independently edit raw footage into polished, engaging, and ready-to-publish content. Experience using Adobe Premiere Pro and photo-editing software such as Lightroom or Photoshop. Knowledge of Adobe After Effects or DaVinci Resolve would be an advantage. Good storytelling skills, including the ability to structure interviews and field footage into clear narratives. Strong attention to detail, including video and audio quality, subtitles, pacing, and visual consistency. Good organizational and time-management skills, with the ability to handle multiple assignments and meet deadlines. Good communication skills and the ability to work collaboratively with colleagues and community members. Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide !

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a Recruiter to partner with our Communications team. This team tells Anthropic's story across corporate, product, executive, and internal communications. In this role, you will be the team's primary recruiter. You will own searches from intake through offer, and you will advise leaders on where the talent is, what it costs, and how to win it. The best communicators are rarely looking, so finding them is the job. As the team grows, you may also support hiring for Brand and Marketing. Key responsibilities Have a passion for AI's potential to positively impact the world, and a realistic view of its risks and limitations Have recruited for communications, PR or adjacent roles, and understand what great looks like in that craft Know how to find and engage candidates who are passive through a variety of creative channels Build trust with senior leaders, and have the confidence to push back with data Write clearly and pay close attention to detail, because candidates and comms leaders will notice both Run a tight, high-touch process that respects candidates' time and helps hiring managers decide quickly Turn hiring data into clear recommendations, not just status updates Thrive in a fast-paced environment and handle executive and confidential searches with discretion Preferred qualifications Have 10+ years of full-lifecycle recruiting experience, with a track record of closing senior, hard-to-fill roles Experience hiring for a high-growth technology company whose public narrative matters A network across media, agency, and in-house communications talent Experience supporting executive hiring Experience using AI tools in your daily work, and are curious about where they can take recruiting next 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: $240,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Research Scientist, Discovery (Engineering & Applied Sciences) About the Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. About the role On the Discovery team at Anthropic, we're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. To achieve these goals, we're seeking exceptional machine learning researchers with deep expertise in training and evaluating frontier models. In this role, you'll work end to end across the model stack, developing training environments, rewards, data, and evaluations that measure and improve Claude's performance on complex engineering and scientific tasks, and carrying what works into production training runs. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and that learn from real-world feedback. A background in engineering or the sciences is a plus but not required. Key responsibilities Design, build, and study reinforcement learning environments, rewards, and training data that improve Claude's capabilities in engineering and the applied sciences Create benchmarks and evaluation frameworks that measure model performance on realistic engineering and scientific workflows Develop simulation-based training environments and verifiers, working with domain experts to validate them against real-world data Develop approaches to long-horizon task completion, multi-agent collaboration, and complex reasoning essential for real engineering and research work Research how models can learn efficiently from experiments and real-world feedback. Study how environments and rewards behave in large-scale training, including robustness, calibration, and generalization, so that training produces models that are both capable and well aligned Scale research ideas from prototype to production training runs Collaborate with domain experts and industry partners to build and test what Claude invents, designs, and engineers, and turn that feedback into training and evaluation signal Help chart how Claude’s engineering capabilities reach real-world use: where they matter most, what stands in the way of adoption, and how that should shape research priorities You may be a good fit if you have: Proficiency in Python and hands-on experience with a modern machine learning framework such as PyTorch or JAX Hands-on experience training or evaluating machine learning models Track record of machine learning research: forming hypotheses, designing and running experiments, and drawing sound conclusions from the results Ability to implement your own research ideas and diagnose problems in complex systems Ability to learn unfamiliar technical fields quickly and work productively with experts in them Clear communication and a collaborative approach to solving problems Excitement about improving Claude’s scientific capabilities and the downstream impact on science and technology Commitment to developing AI that is safe and beneficial Strong candidates may also have: Experience with reinforcement learning and pre-training on large language models, including environment and reward design Familiarity with large-scale language model training, evaluation, and inference pipelines Published research or practical experience in AI for science or engineering, or in long-horizon reasoning A degree or work experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, systems, or manufacturing engineering, applied physics, or computational simulation Experience building simulators, surrogate models, or simulation-based environments and verifiers, and calibrating and validating them against real-world data Experience with large-scale data pipelines and technical or multimodal datasets Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing 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: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.