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Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index 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: Office Based - London, UK Accelerate your technical career by joining Canonical in a high-impact, multi-disciplinary role.. You'll be working from our London office, which hosts our events, customer demos and visitors, in an event space with professional live video, audio and streaming equipment. You'll wear three hats: Linux and cloud support engineer, owner of the office's technical infrastructure, and one of the people running the live production at our events. You'll own your cases from first contact to resolution, bringing in colleagues or senior engineers when needed, and you'll keep the technology running when it matters most, with people watching. While professional broadcast or AV experience is not required, a strong technical curiosity for audio/video systems and the composure to manage live, high-stakes environments are a must. Location: Office Based in London, England. The role entails Office technology: Own the technical state of the London office (network, devices, meeting spaces, AV), including onboarding new colleagues, and know how it all fits together. Live events: Run the technology for events and customer demos, from set-up and live operation through to tear-down, and coordinate external crew for larger events. Customer support: Own your cases end to end, working with customers by ticket, remote session and live conversation, and with engineering teams to turn code fixes into customer outcomes. Set clear expectations and keep your commitments. Ubuntu lifecycle: Understand the Ubuntu development process well enough to give customers realistic timelines for fixes. Knowledge: Write and maintain knowledge base articles so lessons learned are shared. What are we looking for in you Exceptional written and spoken English, and the ability to explain technical complexity clearly and warmly An exceptional academic record at high school and university, with an undergraduate degree in a technical subject or a compelling narrative about your alternative path A builder's streak: something you've set up or run for other people on a deadline, such as a home lab, hackspace, student tech crew, live sound, streaming, or school or club IT AV curiosity: real interest in audio, video and live production, or a clear appetite to learn it Composure and care: you like helping people and stay calm when a high-stakes moment, including a live event, gets tense A track record of going above and beyond for teams or customers Hands-on experience supporting Linux systems, plus any of: virtualization or cloud (KVM, OpenStack), containers (Docker, LXD/LXC, Kubernetes), storage (block, object, network), or networking (bonding, firewalls, bridging, switching, MTU tuning) A troubleshooting mindset (logs, stack traces, OS and application-level causes) and programming fundamentals in any language What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person. Personal learning and development budget of USD 2,000 per year. Bi-annual compensation review. Company recognition rewards. 40 days annual leave per annum, including public holidays and our All Company holiday periods. Maternity and paternity leave. Team Member Assistance Program & Wellness Platform. Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access. About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Manchester, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Sales Development Representative - Mandarin Speaker (UK Market) Are you looking for your next growth opportunity where you can develop your skills in a fast paced role as part of a dynamic team. We are looking for Sales Development Representatives to join our well-established outbound sales team in Manchester City Centre. We are open to backgrounds, no previous sales experience is required, just a willingness to learn, with the customer's best interest at heart and the want to succeed in sales. This will be an office-based position during your probation, following this, you will have the autonomy of hybrid working. You will work as part of the SMB (Small Medium Business) team to promote and sell B2B (Business to Business) products and create new business for the Deliveroo platform and you will report to your Sales Team Leader. The base salary is £27,700, plus monthly commission for achieving targets. Start Date - 17th November 2026. What your role will include? Acquire new business by phone and email Pipeline management Build daily plans Work towards monthly targets Collaborate with our Regional Sales Teams Requirements Fluency in both English and Mandarin required . The role will be for the UK market but supporting our Mandarin speaking partners. Commitment to succeed in a sales environment with a high earning potential One year of commercial experience A phone-based background The confidence to make regular cold calls IT literate (including a range of Microsoft software) Ability to work individually and as part of a team An eagerness to develop professionally - at Deliveroo we want you to succeed and offers professional development Passionate about our customers and being the definitive food partner of choice Employee Perks Access to Deliveroo Plus (offering unlimited free delivery) Discounted Gym membership Buzz Days & Incentives Tonnes of free food Quarterly sales off-sites and training days Interview Process Step 1: Apply – Apply for any role you’d like to be considered for. We’re looking forward to hearing from you! Step 2: Recruiter Screen – You’ll have a 15-30 minute conversation with someone from Deliveroo to talk through your experience in more detail, learn more about the role, and get guidance on how to prepare for the next stages. Step 3: Interview & Case Study – You’ll be invited to interview with one of our Managers, which may include a case study where you’ll present your findings (online or onsite). Step 4: Outcome – We’ll get back to you after your interview to let you know the result! Life at Deliveroo The culture at Deliveroo is crucial to the success of the business, Manchester is home to Deliveroo's UK SMB Team and hosts the only SMB SDR team in the UK! The office is an open plan and modern workspace, making it a great environment to learn and enjoy working. You will be surrounded by a friendly, supportive, and rigorous work culture and are exposed to the decision-making process with management and like-minded individuals. Trust is the ultimate foundation of Deliveroo. Employees are trusted with accountability and are given opportunities to share ideas and collaborate. Individual freedom is an important success factor at Deliveroo, providing a safe space for creativity and new ideas. We promote this positive culture with a focus on health and well-being of employees where everyone can be their authentic self. Benefits and Diversity At Deliveroo we know that people are the heart of the business and we prioritise their welfare. We offer a range of great benefits in areas including health, family, finance, community, convenience, growth, time away and relocation. We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest growing startups in an exciting space. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Remote - Australia; Remote - Japan Workplace: Remote Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. THE TEAM AND IMPACT You'll join the Customer Success and Engineering organization as our first Senior Technical Success Manager hire in Australia or Japan, reporting to our Director of Customer Success. Our Technical Success Managers in the US and Europe own the post-sale relationship for our most strategic accounts. In APAC, you'll do that and more: you'll be the technical face of Qdrant in the region, working with Account Executives, Support, Forward Deployed Engineers, and Solutions Architects who sit several time zones away. Most of your time goes to helping customers who already run Qdrant in production succeed and grow. The rest goes to supporting new deals, partner work, and first-line technical questions in APAC hours. It's a hybrid role for someone who likes being first in, figuring things out, and building how we work in a new region. WHAT YOU WILL OWN - Strategic APAC accounts, end to end. Be the primary technical owner for our largest customers in the region, from onboarding through production, scaling, and expansion. Run health checks and architecture reviews, and spot growth opportunities before the customer asks. - Hands-on delivery. Work directly with customer engineering teams on deployment, configuration, and performance tuning across Qdrant Cloud and self-hosted Kubernetes environments. - First-line technical support in APAC hours. Resolve most technical questions yourself, and hand edge cases to Support and Engineering with clear, evidence-based diagnostics so nothing stalls overnight. - Expectation setting with demanding customers. Hold the line on scope, priorities, and customization requests, and align engineering, IT, and security stakeholders on what happens next and when. - Pre-sales and partner support. Back Account Executives on new opportunities and proofs of concept in the region, and help regional partners' technical teams position and deploy Qdrant. - The voice of APAC customers. Bring field feedback to Product and Engineering, and help shape the playbooks and processes we'll use as the region grows. WHO YOU ARE - You have 6+ years in customer-facing technical roles (Technical Account Manager, Technical Success Manager, Solutions Architect, Solutions Engineer, or Forward Deployed Engineer) at an AI, data, or database infrastructure company. - You're hands-on with cloud-native infrastructure: Kubernetes, Terraform, and at least one major cloud (AWS, GCP, or Azure). You can reason about memory, performance, and scaling problems without waiting for someone else. - You've worked both sides of the deal. You can support a technical evaluation as comfortably as you can run a long-term customer relationship. - You bring enterprise maturity. You'll be dealing with our biggest enterprise clients in the region, so you negotiate confidently with engineering, IT, and security teams, and you push back with care when a customer's request doesn't serve them. - You're self-sufficient and enjoy startup ambiguity. You can be the only Qdrant person in your time zone, make good calls on your own, and know when to delegate or escalate. - You're based in APAC, ideally Australia, communicate clearly in English, and can occasionally join early or late calls with teammates in Europe and the US. NICE TO HAVE - Direct experience with vector search or search engines, or RAG and agentic AI applications in production. - Experience as an early or first hire building a regional presence for a start-up or scale-up. WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE

Location: Berlin, Remote Workplace: remote The Trainer is our pedagogical and platform expert within the Professional Services (PS) team. Your mission is to empower our clients to build Collaborative Learning organizations by mastering our platform and methodology. You aren't a technical expert; you are a pedagogical and platform expert who ensures that clients don’t just "use" the software, but master it to drive long-term engagement. By owning our "One-to-Many" offer (Engagement Academy & Stadium webinars), you ensure that every client, from their first day of implementation, has the knowledge and confidence to make their project a success. You don't just deliver content; you develop a scalable learning ecosystem that ensures every client gets the best start possible by mastering our Collaborative Learning methodology. You will work closely with the Customer Success Team and Product teams to ensure our training offer addresses the actual friction points and needs of our client base. Within 1 month, you will: Master our Platform's core user experience and the Collaborative Learning methodology Become a platform expert (from a user & admin perspective) and get certified on our methodology. Shadow existing Stadium webinars and Academy workflows to understand the current "One-to-Many" engine. Connect with colleagues worldwide through virtual coffee chats and team-building activities. Within 3 months, you will: Host your Stadium webinars and receive peer feedback on your ability to drive platform engagement. Identify and execute your updates on the Engagement Academy to align with the latest product releases. Define your quarterly priorities in relation to the Support & Services roadmap with your coach. Actively contribute to our internal knowledge base (Confluence) to share best practices on platform usage and client engagement. Within 6 months, you will: Lead a project to improve the One-to-Many strategy (e.g., new webinar formats, gamification of the Academy, or localized content). Participate in Discovery Meetings with Product Managers to share insights on how clients actually use and adopt the platform. Analyze Academy completion rates and Stadium satisfaction scores to iterate on the training Catalog. Build new processes and update Confluence with the information needed for the team's daily work. Within 12 months, you will: Onboard and mentor new Trainers, teaching them how to turn platform features into compelling learning stories. Take full ownership of a recurring team pillar (e.g.,being the internal referral for complex solution training). Develop advanced toolkits and training paths based on the most successful client use cases. The Skills Set: 3+ years of successful experience as a Trainer OR successful client-facing experience in Customer Success/Care You have excellent overall writing skills in a number of different styles/tones, and impeccable spelling and grammar in German, English, and French. You are recognized for your listening and teaching skills You express your ideas in a clear and concise manner, both in writing and orally You are proactive and prefer working in a strong results-oriented culture A past experience in the learning industry is a plus You have excellent overall writing skills in a number of different styles/tones, and impeccable spelling and grammar in German, English, and French. Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits: Work From Home perks, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in Germany 🏠. Working remotely from outside Germany is also possible, subject to some conditions (tenure, performance, destination, length, etc.) and the approval of our Remote Committee 🌍 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our LEC Coach Case Study Meeting with our LEC Coach and a member of the team Clarification Meeting with our Head of professional Services EMEA Culture Fit Meeting with our VP Global Professional Services Offer ! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Seoul Workplace: Hybrid adjoe https://adjoe.io/ is redefining the future of mobile ads. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. At the same time, we’re breaking into programmatic advertising with the intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 600 million users worldwide for scalable growth. Backed by a $100 million investment from Bertelsmann and operating from offices in Hamburg, Boston, Singapore, Tokyo, Seoul, Amsterdam, Beijing, and São Paulo, adjoe is defining the next stages of app and ad experience – right now. Join us. Meet Your Team: Rewarded Solutions Our Rewarded Solutions team develops the technology behind adjoe’s innovative rewarded engagement products that serve over 57 million daily mobile users. The team’s tech stack consists of three major components: native Android and iOS SDKs written in Java/Kotlin and Swift handling complex engagement flows; widely customizable offerwall applications built with React TypeScript; and a highly performant Golang backend hosted on AWS that processes millions of events hourly. Our system matches each game with its ideal users, delivering rewards optimized for satisfaction through data processed via AWS Athena, Kafka, Spark, S3, and MySQL. For team members, this means having state-of-the-art resources to build engaging rewarded ad experiences that seamlessly integrate into the world’s top apps while delivering exceptional results for advertisers and monetizers in this industry-leading technology. What You Will Do: - Manage the technical onboarding of our newest app partners in Korea, ensuring a smooth SDK implementation process. - Partner with publishers as a trusted technical advisor, helping them shape their technical strategy, overcome challenges, and identify opportunities to achieve their business goals. - Support publishers with integration issues, ranging from debugging mobile app code to fine-tuning configurations, and proactively identify recurring issues and work with Product and Engineering to develop solutions. - Support the supply business team with data-driven insights to help publishers achieve their KPIs, and partner with Growth Managers to prepare impactful Quarterly Business Reviews (QBRs) that identify opportunities for revenue growth. - Contribute to product ideation and drive product improvements by translating customer and support team feedback into actionable solutions. - Maintain clear, easy-to-understand documentation of the integration process. - Collaborate with an international, English-speaking team dedicated to scaling our adtech platform beyond hundreds of millions of monthly active users. Who You Are: - You have 3+ years of experience in a technical client-facing role in AdTech, Big Tech, or SaaS (TAM, Sales Engineering, or Solutions Architecture), with some exposure to the mobile ecosystem. - You can break down complex technical concepts into clear, easy-to-understand explanations for business teams and partners in both Korean and English. - You have strong analytical and communication skills, can turn data into actionable insights, and are comfortable using SQL to query databases. - You understand how technical systems communicate, including how to test HTTP REST endpoints and troubleshoot common integration issues. - You have a curious mindset and are comfortable asking questions to challenge assumptions and uncover root causes. - You take initiative and have a strong bias toward action. You proactively identify gaps, think critically about potential solutions, and take ownership of driving improvements rather than waiting for others to act. - Fluency in Korean and English - Plus: A software engineering background and experience with Java and app development. - Huge plus: You have hands-on experience supporting app publishers through SDK integrations, debugging complex issues, and guiding them on best practices for smooth rollouts and long-term success. - Location: Based in Seoul We welcome applications from people who will contribute to the diversity of our company.

Location: Dubai, United Arab Emirates Workplace: on-site About Deluxe Holiday Homes Deluxe Holiday Homes is a leading holiday-home and property management company based in Dubai, UAE, managing a portfolio of 800+ premium short-term rental properties across the emirate. The Deluxe Homes Group operates with ~230 people across Dubai, Abu Dhabi, Fujairah, and Armenia, and serves five brands from one marketing department: Deluxe Holiday Homes, ProKeep, HIVE Business Center, Deluxe Homes Interior Design, and Deluxe Homes Real Estate Brokers. We run a platform-first model: our in-house Marketing OS and AI pipelines do the production-line work, and a small team does judgment, camera, and execution. Role Overview We are looking for a hands-on, decisive Marketing Executive to own the physical and scheduled side of marketing across all five brands: the video and photo shoot pipeline, the day-to-day operation of every social media account in the group, every marketing vendor (print, signage, uniforms, vehicle branding, design freelancers), the physical launch of HIVE Business Center, and the trackers and weekly reporting the department runs on. You are the single point of accountability for one outcome: everything happens on the date it was promised. This is an ownership role, not a reminder-sender role. You make the routine calls — hold or release a shoot, pin a vendor to a date, reorder collateral before it runs out — and report after; you do not escalate and wait. You hold a written GO/NO-GO right on every shoot: if a shoot is not ready 3 days out, you stop it. If a vendor slips, you are on their phone the same day. Note: This role does not include marketing strategy, creative direction, copywriting, design, paid advertising, or SEO — those sit with specialist owners. Captions, scripts, and visuals arrive prepared from the content team and AI pipeline: you publish and operate, you do not write or design. The role has no direct reports. Key Responsibilities Shoot Production • Own the shoot calendar across all brands: schedule every shoot 7 days out and issue the brief (properties, concept, video count) to the content and camera team. • Run the readiness gate: scripts in 4 days out, written GO or NO-GO to the Shoot Lead and GM 3 days out, by 6 pm, every time. • Lock properties with operations: units blocked, cleaned, and staged 3 days before every shoot. • Prepare the kit: wardrobe, props, and equipment ready on shoot day. • Log delivered-vs-planned for every shoot and keep host cancellation and standby penalties at AED 0. 2. Social Publishing & Account Operations • Publish the prepared content for all 5 brands, every day, per the approved calendar through the Marketing OS — and log the live link for every post. Flag any cadence break 24 hours before it happens, never after. • Operate every social account in the group (Instagram, Facebook, TikTok, LinkedIn, X, YouTube): bios, links, covers, highlights, pinned posts — complete and current at all times — and secure handles, profiles, and defensive registrations for any new brand or entity within 48 hours of its naming. • Moderate comments and DMs across all accounts with hard routing rules: booking or sales leads to the reservations and BD teams the same day, guest complaints to operations, spam hidden. • Keep Google Business Profile and Bing Places complete and active for ProKeep and HIVE (weekly posts, photos, Q&A), and execute the citation list set by the Search team. • Send review responses within 48 hours (AI-drafted, human-checked). • Run a monthly QA pass across every live channel and fix what it finds. 3. Vendors, Print & Physical Brand • Own every marketing vendor thread end-to-end: supplier, quote, approval, pinned date, delivery, and payment paperwork to finance. • Keep welcome books and in-unit collateral stocked across 700+ units on a reorder • Deliver uniforms and the vehicle-branding schedule (15 vehicles currently pending) to completion. • Chase trademark agents (EN + AR) and manage Arabic transcreation delivery from briefed vendors. • Run the physical launch of HIVE Business Center: signage, tour-route materials, print collateral, and opening-day logistics. • Bring every vendor decision to the GM as a 3-option comparison with your recommendation. 4. Trackers & Reporting • Keep every task, vendor, and budget line in ClickUp with a due date, updated every working day — without being chased. • File and index every photo and video asset within 48 hours of delivery so the AI pipeline can use it. • Send the Monday report to the GM: progress, blockers (with the date and person you escalated to), and spend. • Escalate any blocker — on anyone, including the GM — in writing within 24 hours. • Record every operational decision (cadence changes, vendor awards, holds) in the decision log. Required Qualifications • 3–6 years in production coordination, marketing operations, traffic management, or event production — UAE experience required. • You come from a 50–500-person company — agency, hospitality, property, or D2C — where you ran schedules and vendors yourself, not through a department. • Decisive operator — reference-checked: your last manager will confirm you made calls inside your scope without waiting. • Proven vendor management: sourcing, quotes, negotiating to a deadline, accepting or rejecting delivery, and closing the payment paperwork. • Daily discipline in a task system (ClickUp, Asana, or similar): every task, a due date, a same-day update. • Fast, clear written English — comfortable issuing a written NO-GO that stops a shoot, to people more senior than you. • Native fluency in the mechanics of Instagram, TikTok, Facebook, LinkedIn, X, and YouTube account operations — publishing runs through our platform, but you know how each platform actually behaves. • Valid UAE driving licence and readiness to move across Dubai daily: properties, vendors, print shops, and the HIVE site. Preferred Qualifications • Arabic — working level or better. • Hospitality, short-term rental, or real estate marketing exposure. • On-set experience: call sheets, shot lists, location logistics. • Enough Adobe/Canva literacy to catch a wrong export — you check design, you do not produce it. • AI tools in your daily workflow: drafting, checklists, review responses.

Location: Berlin Workplace: Hybrid OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. ROLE SUMMARY You own the marketing-technology layer behind Taxfix's growth: the conversion signals that tell ad networks who converted, the customer data that powers CRM, the consent flows that decide what we may share and with whom, and the referral program, one of the growth mechanics the team owns end to end. This is a senior individual-contributor role with no direct reports. You set direction for a small engineering team (a tech lead plus 3–4 engineers, two-week sprints) that supports four products across three markets, with Paid Acquisition, CRM, Brand and Creative as internal customers. A typical week mixes debugging a missing ad-network event, scoping a referral reward, settling a data-sharing question with Legal, and explaining trade-offs to leadership. All work, including across markets, happens in English; German is not required. WHAT YOU'LL DO - Own conversion-signal engineering for paid acquisition: client-side and server-to-server events into Singular, Firebase/GA4, Google Ads and TikTok, including synthetic events, revenue values and predicted-LTV signals. - Run the referral program as a product: reward mechanics, eligibility and fraud rules, voucher infrastructure (Voucherify), the in-app voucher wallet, entry points, and the experiments that tune them. - Grow push and marketing-consent opt-in through permission primers, iOS/Android OS permission flows and notification preferences. - Keep CRM data trustworthy: Braze attributes and events, Snowflake-to-Braze syncs, event-loss monitoring, and moving legacy messaging (SendGrid, Firebase) onto Braze. - Turn consent and privacy requirements into product behaviour, and work with Legal on what data can go to which partner. - Adapt tracking, CRM attributes and attribution to company launches, such as new subscription pricing tiers, without breaking downstream campaigns or reporting. - Turn stakeholder requests, support escalations and spike findings into tickets engineers can start on, and decide what goes into the sprint. - Weigh roadmap work against platform upkeep: pipeline migrations, security fixes, end-of-life SDKs. - Design A/B tests (Eppo) and read the results for marketing and consent opt-s, and referral changes. - Report progress, risks and trade-offs in writing to marketing leadership, including VP and C-level. MUST-HAVE SKILLS AND EXPERIENCE - Several years as a product manager owning martech, growth infrastructure or data products, setting your own roadmap with senior stakeholders. - Hands-on mobile and web attribution: an MMP (Singular or comparable), server-to-server events, and ad-network conversion setups (Google Ads, TikTok). - Event-tracking depth: you can define an event schema, write a tracking spec, and trace a missing or duplicated event through Segment, Google Tag Manager and the receiving platform. - CRM data platforms, ideally Braze: custom attributes, event-triggered segmentation, data ingestion and sync quality. - Working knowledge of EU consent and privacy: GDPR, consent mode, iOS App Tracking Transparency, and how push permissions behave on iOS and Android. - Experimentation: framing hypotheses, choosing and configuring metrics, judging when a result is real. - Precise writing: specs that engineers (and AI coding agents) can start on without a meeting, and concise updates and decision memos for leadership. - Enough technical fluency to work through trade-offs with engineers across mobile apps (React Native), backend services and data pipelines, and to triage production incidents. NICE TO HAVE - Performance marketing experience with the main app and web acquisition channels (e.g. Google Ads, TikTok). - Referral, loyalty or voucher programs; Voucherify specifically. - Predicted-LTV or value-based bidding signals (e.g. Churney). - Deep linking and deferred deep linking across ad networks. - AI-driven CRM orchestration (Aampe) or creative asset tooling (Frontify, AI creative tagging). - Building AI agents or automation for product and engineering workflows. - Querying data yourself in SQL (Snowflake), and familiarity with dbt and Airflow. WHY TAXFIX?  - A chance to do meaningful, people-centric work with an international team of passionate professionals. - Holistic well-being with free mental health coaching sessions. - A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. - Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. - 30 annual vacation days and flexible working hours. - A generous learning budget to support your personal and professional development and guidance from our internal L&D experts. - Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. - Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible. - Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. - Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Check out our Life at Taxfix https://www.linkedin.com/company/taxfix/life/8684512c-424f-44de-8d07-6e6b516e3319/?viewAsMember=true page on LinkedIn to get a glimpse of our culture. At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves. Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.

Location: South Korea Workplace: Remote As Head of Regional Marketing, APJ, you will lead ClickHouse's regional marketing strategy across APJ, building awareness, generating pipeline, and accelerating revenue. You will build and lead the regional marketing team while partnering closely with APJ sales leadership as part of the go-to-market team, and adapt global campaigns to the distinct needs of markets across the region. You will be measured on enterprise pipeline and self-service revenue (MRR), working across both our self-serve, product-led motion and our sales-led enterprise motion. What You Will Be Doing - Own the APJ regional marketing strategy, annual plan, and budget, aligning field programs to regional pipeline and revenue targets in partnership with sales leadership. - Build, lead, coach, and grow a team of regional marketers, setting clear goals, developing talent, and building a high-performance culture. - Serve as the marketing counterpart to APJ sales leadership, participating in regional forecasting, QBRs, and account planning so marketing investment maps to sales priorities. - Partner with growth and demand generation to support the commercial sales team's product-led motion, converting self-serve usage into commercial pipeline and expansion revenue. - Develop an integrated regional program mix spanning first-party hosted events, third-party conferences, virtual events, ABM plays, digital advertising, and partner marketing. - Adapt global campaigns, messaging, and content for APJ markets, and establish scalable processes for campaign planning, lead management, and follow-up with marketing operations and global demand generation, so every program has a clear path from engagement to pipeline. - Track, analyze, and report on regional marketing performance, including pipeline generated and influenced revenue. - Identify emerging market opportunities across APJ, making the case for new investments in geographies, verticals, or channels, and represent the region in global planning cycles. What You Bring Along - 10+ years of experience in field, regional, or integrated marketing within the database, data analytics, infrastructure, or developer tooling space - Deep experience marketing across APJ markets - Demonstrated success owning a pipeline number and driving measurable revenue impact through regional marketing programs - Proven ability to partner with sales leadership at the VP level - Experience working in a remote-first, globally distributed organization, with the ability to collaborate across time zones - Comfortable with ambiguity and energized by building in a fast-paced, high-growth environment PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. You’ll build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. This is a distributed systems problem with an unusually high correctness bar. The system has to be right to the cent, replay cleanly and explain any number as of any date, at that volume. You will shape its architecture. Its users include Claude agents, which read and write through the same APIs and controls as people. You’ll work closely with SWEs in Billing, Compute and Infra on shared contracts and APIs, and with product owners, finance operations and internal audit to turn accounting and controls requirements into designs. You don’t need a finance background. If you have built backend systems where correctness matters, we will teach you the domain. Responsibilities Design and build the front door into finance and its governed contracts: APIs for apps and agents, an event bus for systems that publish, adapters for vendor apps and reports, data-quality gates, and processing that posts every event exactly once, with replay and backfill Drive the build of the accounting ledger and engine: an append-only ledger with idempotent posting, a rules framework that turns business events into journal entries, translation into the ERP, and period locks Design and build the SDKs and frameworks that finance apps and agents build on Build controls into the platform as code: immutable audit trail, maker-checker, scoped access and segregation of duties Build and run the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow, and own their reliability: uptime, latency, throughput and correctness targets agreed with those teams Shape the platform’s technical direction: architecture, engineering standards and design reviews Minimum qualifications Strong backend engineering in a statically typed language such as Go, Java or Rust, or Python at scale Experience designing and running high-volume, event-driven systems (publish/subscribe, streaming) with idempotent processing, replay and backfill Experience designing relational data models and writing SQL for complex, versioned data Experience designing APIs, SDKs and service-to-service integrations used by other teams Experience building systems with auditability, access control or compliance requirements Experience turning requirements from non-engineering partners into technical designs Strong written and verbal communication, including design docs Preferred qualifications 10+ years of experience Experience building developer platforms or paved paths Experience with streaming systems such as Pub/Sub or Kafka Experience building with LLMs and agents, including MCP Built a ledger, sub-ledger, billing or payments system Familiarity with accounting concepts: double-entry, journal entries Familiarity with internal controls and audit concepts: audit trails, segregation of duties, change management Exposure to ERP or financial systems, such as Workday Financials 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; New York; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE AI is being built by many companies at once. Model labs train more capable models, hyperscalers provide infrastructure and distribution, developers build new AI products, and a growing set of tools gives agents more to work with. Baseten sits at the center of all of it, as the inference platform that developers and large companies use to run AI in production. We're hiring Software Engineers with strong product and customer sense to join our Product Platform organization. This team builds the enterprise-hardened products that sit on top of our inference platform. These are the surfaces customers, partners, and their agents touch every day. We also build systems and products for developer productivity, including agentic platforms. We're hiring across several areas: - Commercialization, billing, and partnerships. - Developer productivity and agentic development. - Enterprise controls: identity, access, governance, and account lifecycle management. You'll own customer-facing features end to end. That means talking to customers to define the problem, designing and shipping the solution, and iterating once it's in production. You'll work closely with product and design as a peer. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Product Platform team: - How we built RBAC that scales for the enterprise https://www.baseten.co/blog/rbac-from-the-ground-up-solving-for-autonomy-vs-control/ - Announcing our partnership with OpenAI https://www.baseten.co/blog/baseten-openai-partnership/ - Introducing Baseten Hosted Tools https://www.baseten.co/blog/introducing-baseten-hosted-tools/ - How leading platforms ensure observability for LLM inference https://www.baseten.co/blog/how-leading-platforms-ensure-observability-for-llm-inference/ RESPONSIBILITIES - Own customer-facing features end to end, from understanding who you're building for through design, launch, and iteration. - Build platforms and systems that scale and perform well in production, not one-off features or scaffolding. - Ship in phases, working directly with internal and external customers to validate and iterate along the way instead of betting on a single big launch. - Weigh competing customer requests and make clear prioritization calls based on impact. - Work closely with product, design, forward deployed engineering, and go-to-market teams as a peer, contributing ideas rather than just implementing specs. - Build the systems behind how customers buy, integrate, and use Baseten, across billing, partnerships, and developer and agentic tooling. - Take ownership of ambiguous problems, move quickly, and drive them to completion with little process. - Pick up new problem areas quickly and grow your scope as the team and product expand. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. We're looking for an Engineering Manager to lead the engineers who build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. You’ll hire and grow the team, and hold the bar for how the platform is built and run in production. Its users include Claude agents, which read and write through the same APIs and controls as people. You'll partner with engineering teams in Billing, Compute and Infra on shared contracts and APIs, and with product owners and finance operations, who set the priorities and define the needs. You don't need a finance background. If you have led teams that build backend systems where correctness matters, we will teach you the domain. Responsibilities Lead and grow a team of engineers: hire, coach and hold a high bar for engineering quality Own delivery of the front door for finance events and its governed contracts, and the accounting ledger and engine, so every event is posted exactly once and can be traced back to its source Be accountable for the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow Make sure finance apps and agents have the platform support they need: SDKs and frameworks, scoped access, SOX guardrails, observability, and the capabilities finance needs that claude products do not provide out of the box Define and own the reliability and correctness bar: SLOs on the services other teams call, tests that check key upstream calculations on every change, and daily accuracy and completeness checks from source to books Align on technical design, data contracts and APIs with engineering leaders in Billing, Compute and Infra Drive down the time it takes finance to support a new product, program or compute buildout Minimum qualifications Have led teams that build and run high-volume backend systems where correctness matters, such as ledgers, billing, payments, metering or other systems of record Have built or run event-driven systems with idempotent processing, replay and backfill, and know what it takes to keep them correct in production Have sound judgment on platform boundaries, data contracts and API design Have hired and grown engineers, and set engineering standards for platforms Work well across functions, with upstream engineering teams, finance and auditors, and explain technical trade-offs clearly to non-engineering partners, in writing and in the room Preferred qualifications Have 3+ years of engineering management experience, with 8+ years total in the industry Built developer platforms or paved paths used by other builders Worked with Go and with streaming systems such as Pub/Sub or Kafka Built with LLMs and agents, including MCP Built or run a ledger or sub-ledger, with a working knowledge of double-entry accounting Managed teams through audit and compliance work, such as SOX change management, segregation of duties and audit trails Worked with ERP or financial systems, such as Workday Financials or Oracle Financials 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: Tbilisi, Georgia We are looking for a seasoned sales professional to join our private client team in Tbilisi, someone who knows how to work with discerning buyers. You will offer clients a personal, discreet and seamless experience, and close high-value property transactions. Key responsibilities: Act as the personal point of contact for a portfolio of high-net-worth clients Bring in new clients through your existing network and personal recommendations Host private viewings and individual project presentations Shape tailored property proposals around each client’s lifestyle and investment priorities Negotiate and close premium transactions from start to finish Handle client data with full confidentiality and keep CRM records accurate Provide ongoing after-sales care to build long-term loyalty Achieve personal sales and revenue goals Requirements 4+ years in premium or luxury sales, for example in real estate, private banking, luxury cars or fine jewellery An existing network of affluent, high-net-worth clients Experience in running private viewings and personal presentations A tactful, discreet manner and a commitment to excellent service Proven results in closing high-value deals Excellent relationship-building and negotiation skills Fluency in Russian and Georgian A good command of English Benefits Salary and an increased commission Access to premium projects for private viewings and presentations Freedom to develop your own private client portfolio A high-value product that matches the expectations of discerning buyers

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 As a Product Manager, Technical, you will own and be responsible for building a world class support experience for Anthropic's customers and the Product Support team. You will partner with Product Support Operations, AI Support, Billing, Fraud, and Product Engineering teams to build the systems that decide how Anthropic's users get unblocked when something goes wrong, and how what they report turns into product fixes, in partnership with the product teams that own the experience. Claude will be the primary operator of that support experience. Partner with Product Support Operations, AI Support, and product engineering teams to own the systems behind the support experience end to end: the path from a recurring support driver to a shipped product fix, the Claude-based AI support layer that handles most inbound volume, and the tooling that helps human agents resolve what’s left quickly and accurately. . Your north star is fewer support cases per user, and whole categories of cases eliminated, even as the product grows. The best outcome is a case that never gets opened because the product problem behind it was found and fixed. Everything in the support experience is in scope. You decide where to start. You'll define the end-to-end experience Claude delivers: diagnosing a billing failure, resolving it or escalating it, recognizing when the same failure is showing up across many customers, filing the bug with repro steps and a proposed fix, getting that to the engineering team that owns the driver, following up with the customer to confirm the issue was actually resolved, and confirming the category actually goes away once the fix ships. You will define and own the strategy and roadmap for the support-to-product feedback loop, including the escalation paths for billing, fraud, and high-visibility cases, and the metrics that show whether contact rate is falling. Responsibilities Deeply understand the needs of Product Support Operations, AI Support, Billing, Fraud, and the product engineering teams that own support drivers, from specialists handling enterprise escalations to engineers who need a support case turned into a reproducible bug they can fix. Define and iterate on the support-to-product loop: how a case is classified, how recurring drivers are surfaced in near real time with case examples and recommended fixes, how each driver gets a named owner, and how we confirm the fix decreased case volume. Own the metrics behind it:  inbound case volume by driver, drivers fixed at the root, and time from first case to shipped fix, alongside the response-time and CSAT targets Product Support Operations already runs on. Own the customer's experience of getting unblocked: how quickly a user reaches a resolution and how little friction they hit on the way, whether Claude resolves the case or hands it to a specialist. Minimize the blast radius of novel issues. New models and product changes will keep creating new drivers no one can predict; catch each one at its first reports, assess impact, and get the fix prioritized while the affected group is still small. Partner with engineering and data science to build the systems that scale with Anthropic’s growth: Claude as the first responder, the data pipeline behind driver detection, and the tooling that lets Claude hand a diagnosed case to the right team. Drive product strategy and roadmap for the in-house Claude support layer, including what Claude resolves on its own, what it escalates and to whom, and how far it goes toward filing and fixing the underlying product issue itself. Own the trade-off framework between intake reduction, response time, cost, and quality, making transparent prioritization decisions about which drivers get fixed first and communicating them clearly to Product Support and senior leadership. Build conviction about what support looks like when Claude is the primary operator, and translate that into a roadmap that gets Anthropic there ahead of the volume curve. You may be a good fit if you have 7+ years of product management experience, with deep exposure to support systems, customer operations tooling, billing or payments, or internal platforms that serve operations teams Experience taking technical platform products from infancy to scale: you've built something from the ground up and grown it to serve demanding internal or external engineering customers Track record of building products that balance the needs of multiple personas, and of making prioritization trade-offs between them and communicating them clearly Ability to internalize complex technical systems (case routing, billing and payments flows, LLM-based agents, data pipelines) and translate that understanding into a comprehensive product vision Fluent across functions: you're equally credible reading a failed-payment trace with engineers, walking a specialist through why a driver got deprioritized, and explaining intake trends to leadership A strong thesis on how AI changes support: you've thought deeply about what happens when the agent that answers the case can also diagnose, file, and fix what caused it, and you want to build that Experience scaling an LLM-based product or experience from prototype to real volume, and a clear view of what breaks on the way: quality drift, cost, latency, and user trust Scrappy and resourceful: you do what it takes to get things done in a fast-moving environment Strong candidates may have: Built or scaled the systems behind a high-volume support operation for consumer or developer products: case data pipelines, driver analytics, or LLM-based support agents. Shipped an LLM-based support or operations agent in production and understand the trust, escalation, and quality-measurement problems that come with it. Defined and operationalized contact-rate or case-deflection metrics, and a point of view on how those metrics change when the fix ships in the product instead of the help center. Scaled through hypergrowth in support-heavy environments (consumer subscriptions, developer platforms, or fintech). Experience getting product and engineering teams to own support drivers, with proven evidence of driving ownership through clear evidence and product quality. 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: $385,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Field marketing at Linear is just getting started. Its job is to put us in front of the right people in the right room: executive dinners, conferences, partner events, and programs built with our Customer team around named accounts. We're hiring our first Field Marketing Manager to take that motion from strategy to execution. You'll own the executive dinner calendar across cities, decide which third-party events and partner programs are worth our time, and build the invitations and follow-up that help our sellers turn a good evening into a real conversation. This is a hands-on role. You'll tap your venue and vendor network, build the run of show for each program, and be on site to run it. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the United States, with San Francisco or New York preferred. You can work from anywhere within the US. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. This role involves frequent travel for events, including evenings. What you’ll do - Own the executive dinner calendar across cities: pick the city, the venue, the date, and the theme for each dinner - Build each guest list with our Customer team, equip sellers with invitation sequences, and track RSVPs so every seat goes to someone worth having there - Manage venues and vendors, negotiate menus and minimums, and keep per-dinner spend, contracts, and travel logistics within budget - Brief our hosts and executives on who's attending and what we want to learn, be on site to run the night, and hand follow-ups to Sales afterward - Evaluate conferences and sponsorship offers by audience quality, account coverage, and expected return, then plan how we show up: booth or no booth, side dinners, customer meetings, and speaking slots - Co-host dinners, workshops, and meetups with partners, and agree up front on guest lists, costs, and who follows up - Sit with Sales each quarter to pick target accounts, build lightweight formats an AE can request for a key account, and report on attendance, meetings held, pipeline influenced, and feedback from attendees and account owners What we’re looking for - 3+ years in field marketing, event marketing, or B2B events, ideally at a software company. Experience in developer tools, SaaS, or another technical product is a plus - A track record of running dinners, roundtables, or other small-format events end to end, plus experience planning around conferences: sponsorships, side events, and customer meetings - Experience working next to Sales. You know how to build a target account list, get an AE to care about an event, and tell them afterward what happened - Strong project management. You can run several cities and events at once without dropping details - Comfort with budgets, vendor contracts, and a spreadsheet. Hands-on time with HubSpot and event attribution is a plus - Clear writing and an easy way with senior guests, hosts, and partners. Experience marketing to engineering and product leaders is a bonus - Experience building an event series from the ground up, including a playbook someone else could run - Willingness to travel often, including evenings What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $144,000—$179,500. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth https://www.youtube.com/watch?v=4vqDYkuzbSM - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - A video series: Conversations on Quality https://linear.app/quality - Read about our recent Series C Fundraise https://linear.app/now/building-our-way and Giving our team liquidity https://linear.app/now/giving-our-team-liquidity-through-linear-s-first-tender-offer A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

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 We are hiring a Technical Program Manager to lead high priority safety and security programs which advance defense in depth for agents, which we have written about publicly . You will be the lead TPM coordinating work across teams to strengthen how we develop and deploy agents safely and securely, and to bring what we build internally to customers and partners so everyone has the tools to safely and securely use Claude. You will be responsible for leading meetings with executives and technical leads, maintaining complex project plans, identifying and addressing risks, developing metrics, and communicating to the company and our customers about this work. Responsibilities: Maintain the roadmap - Maintain and extend the existing roadmap for all work contributing to this effort across the company and implement approaches to ensure accuracy and relevance amidst a fast operational tempo. Turn program goals into measurable exit criteria at each phase of the work - To do this well you’ll need to be responsive to new developments in capabilities and the threat landscape, both of which are evolving fast. Maintain key metrics and dashboards. Run the operating rhythm - Chair the leads meetings, working group meetings, design reviews, and executive check-ins. Record decisions and actions, disseminate sitreps quickly and regularly, and follow up until open issues close. Lead executive and contributor communication - Drive conversations, write regular reports, contribute to design documents, and produce decisional documents as needed. Say plainly what is on track, what is not, and where help is needed. Maintain the risk register - Track risks, exceptions, and risk acceptances in one place and bring hard calls to the right decision maker. Drive company-wide communications - Partner with internal communications on progress updates and on rollouts that change how employees work with Claude every day. Lead through other TPMs - Coordinate subject matter specific TPMs and engineering managers who do not report to you. Set shared standards, spot coverage gaps, and step in to augment capacity where needed. Take coordination load off technical leaders - Find owners for cross-team problems, frame tradeoffs across Security, Safeguards, Research, Privacy, Legal, and Product, manage staffing tasks, and organize exercises that test our controls. Maintain industry context - Track relevant incidents, capabilities shifts, and research across frontier labs, and understand the key risks they reveal. Bring those lessons into our threat model, roadmap, and risk register. You may be a good fit if you: Have led company-wide technical programs, especially a company-wide security program, with multiple workstreams, executive sponsors, and other program managers rolling up to you. Have a strong background in at least one of the program's domains: agent or infrastructure security, ML classifiers and monitoring, evaluations, inference infrastructure, protecting an organization’s most sensitive data, or shipping security controls to customers. You know the terminology and can ramp up on the rest quickly. Have worked closely with ML research teams and understand how models are trained and evaluated. Work independently. You set direction without waiting for instructions and know when to make decisions and when to escalate. Can command a room and hold senior engineers, researchers, and executives accountable without formal authority. Write clearly and fast for any audience, from a one-page executive brief to a company-wide announcement. Use AI tools like Claude to automate tracking, reporting, and follow-up. Care about AI safety and want to help keep powerful systems under human oversight. Have 10+ years of experience in one of the aforementioned areas. Deadline to apply: None, applications will be received on a rolling basis. Annual Salary: TBD with Recruiting. 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: $365,000 — $435,000 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 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 RL teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Fable 5.1 and Claude Opus 5.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implementing our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at. You'll leverage your chip design expertise and turn it into tasks and signals for models to learn from. Specifically, you will: Invent, design, and implement RL environments and evaluations for agentic RTL generation, design (including formal) verification, physical design optimization. Work on cross-cutting RL considerations such as EDA-tool latency optimization and proxy rewards. Conduct experiments and shape our roadmap. Deliver your work into research and production training runs. Collaborate with other researchers and engineers across and outside Anthropic. You may be a good fit if you: Have expertise in ASIC or FPGA design: RTL, design verification (UVM, formal methods, coverage-driven), physical design (synthesis, place-and-route, timing closure), PPA optimization, DFT, ECOs. Are fluent with industry EDA tools and processes. Have taped out chips and have experience going from spec to silicon. Know how to balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have: Experience with reinforcement learning, evaluations or environments. Built tooling or automation around chip design flows. Worked on ML accelerators or high-performance compute hardware. Familiarity with high-level synthesis or architecture simulators. 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: $500,000 — $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: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role You will run the external audit calendar for our SOX 404 program as we scale toward an IPO. That means coordinating with our external auditors across the year, aligning testing windows with control owners, educating our control owners, and keeping requests and deliverables on schedule. You will also own SOX scoping and risk assessment cycles, deficiency tracking, and status reporting, and help roll out our GRC platform so the program runs from one system of record instead of spreadsheets. You will scale the program through AI-enabled workflows that reduce manual effort and speed up our SOX program. This role reports to the Head of Business Controls and works closely with everyone on the SOX and Internal Audit team. This is an individual contributor role for someone who keeps a complex program on schedule, writes clearly, and makes the program simpler each cycle. Key responsibilities Own the annual SOX audit calendar, including interim and year-end testing windows, walkthrough schedules, and key deliverable dates agreed with external auditors. Serve as the day-to-day point of contact for external auditor requests. Triage, route, and track each request to closure, including PBC (provided-by-client) lists and evidence deliveries. Coordinate auditor walkthroughs and fieldwork with process owners, control owners, and the SOX Testing team, so each control owner is asked for the same evidence once. Track auditor findings, management responses, and deficiency follow-ups, and report status to Internal Audit leadership. Prepare control owners and process owners for auditor sessions, and get evidence delivered on time without direct authority over them. Lead the annual SOX scoping and risk assessment, including quarterly refreshes, and support the annual Fraud Risk Assessment, so the program has appropriate scope and coverage under COSO. Monitor BP and IT SOX testing and report status to leadership and share status with external auditors Lead work with the business to improve control documentation, including education of templates and SOX guidance. Find optimization and automation opportunities across the SOX lifecycle through the use of AI. Support the rollout of the GRC tool for SOX, including control libraries, workflows, evidence requests, and testing templates. Define the data and reporting requirements the platform must meet, and test that it produces what the program needs. Run the quarterly sub-certification process and report results to leadership Own SOX program status reporting: dashboards and metrics for leadership, audit calendar progress, and deficiency and remediation status. Own status reporting for the full SOX lifecycle: scoping and risk assessment, testing, deficiencies and remediation, segregation of duties (SOD), SOC 1 report reviews, the fraud risk assessment, and audit calendar progress. Minimum qualifications Big 4 audit firm experience on SOX 404 or ICFR engagements, including managing audit calendars, PBC requests, and fieldwork with external audit teams. Experience working directly with external auditor teams on requests, testing schedules, and findings, from the company side. Several years of hands-on SOX 404 experience, including scoping, risk assessment, control documentation, testing, and deficiency evaluation. Working knowledge of the COSO framework, ICFR, and PCAOB standards. Experience developing or maintaining Risk and Control Matrices and process documentation or flowcharts. Experience implementing or administering a GRC systems Experience reporting program status, metrics, and issues to senior leadership. Ability to get control owners to deliver on time without authority over them. Clear writing and calm coordination under deadline pressure. A Bachelor's degree in a related field or equivalent experience. Preferred qualifications In-house SOX experience at a pre-IPO or newly public company. Experience running a fraud risk assessment. CPA, CISA, or similar certification. Comfort with SQL or data tools for reporting, and experience building lightweight automations, including with Claude. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.