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Location: London, UK 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 Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude. Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems. Responsibilities: Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams Track record of selling technical products in competitive markets Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns Passion for making powerful technology safe and societally beneficial 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: £165,000 — £190,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Frontier AI runs on datacenters, and the world is in the middle of the largest infrastructure buildout in a generation. The binding constraint on progress is increasingly everything around the chips: land, power, permits, equipment, and the design and construction of the buildings themselves. Bringing a single site online involves hundreds of people, thousands of components, and decisions that move enormous amounts of capital. Much of that work still runs on spreadsheets and handoffs. At Anthropic, we're building software and Claude-powered tools to help Anthropic scale out its compute, and we think there's an enormous opportunity to rethink how that work gets done. It's early, it's already having a real impact, and the engineers who join now will shape how one of the most consequential buildouts in the world gets done. We're looking for strong, versatile software engineers who love building for people doing real work in the physical world. You'll embed with the teams that source sites, design buildings, procure equipment, and manage construction, learn their work deeply, and build the tools and systems they rely on every day. Datacenter experience is a big plus, but what matters most is that you can earn the trust of expert operators, model a messy domain cleanly, and move fast. Responsibilities Build the core systems that track a datacenter's lifecycle (sites, designs, bills of materials, equipment, and construction progress) in one trusted, permissioned source of truth Embed with datacenter, energy, and supply chain teams to understand how the work actually gets done, find the critical path, and build the tools they reach for first Bring order to messy data by migrating and reconciling spreadsheets and legacy trackers, and integrate with the industry's tools, like construction management, scheduling, and engineering systems Design for trust: fine-grained permissions, auditability, and data quality for information that steers major investment decisions Ship early, iterate with users, and cut anything that doesn't help bring compute online sooner Partner with research to understand new model capabilities and share where they fall short in engineering-heavy, physical-world domains You may be a good fit if you Have 8+ years of experience building software, with strong full-stack skills and solid grounding in data modeling, APIs, and databases Have built software that teams in a physical-world industry depend on, such as datacenters, construction, energy, manufacturing, supply chain, or logistics Have a track record of zero-to-one work in startup or startup-like environments Are deeply user-centric: you learn the domain from the people doing the work and validate with them before over-investing Bring high agency and good judgment about what matters, and hold strong opinions loosely Communicate clearly across engineering, operations, and research, and care about the societal impacts of your work Strong candidates may also have Experience in datacenters (at a hyperscaler, colocation provider, operator, utility, or engineering firm), or in adjacent fields like construction, logistics, or legal Experience with the domain's tooling, such as construction management (Procore, Autodesk Construction Cloud), scheduling (Primavera P6), PLM/BOM, ERP and procurement, CAD/BIM, DCIM, or power system studies A background in electrical, mechanical, or civil engineering, energy systems, or supply chain alongside a software career Experience building products with large language models Candidates need not have 100% of the skills listed above Formal certifications or education credentials Direct machine learning or AI research experience Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Safeguards Enforcement team detects and mitigates misuse of Claude, and much of that work depends on people: a growing human review workforce made up of full-time staff, contractors, vendors and BPO partners. As that workforce scales across a widening range of harm areas, the programs that bring people in, give them the right access, and roll them off cleanly have to keep pace. As Program Manager for Safeguards Workforce Operations, you’ll own those programs end to end. You’ll run onboarding, offboarding, device provisioning and access provisioning for every worker type we use, working hands-on with the requests themselves while you build the processes that make them repeatable. You’ll partner with Enforcement leads to turn shifting priorities into capacity plans, and carry those plans through with our vendor partners. Because this role supports every Safeguards Enforcement program, you’ll also connect the dots across Anthropic, working with IT, People Operations, Security, Contingent Workforce, Human Data Operations and other teams running scaled human review to streamline practices and keep standards consistent. This is a role for someone who likes fixing broken things at speed. The landscape moves quickly, priorities change often, and the work is an even mix of direct execution and program building. Key responsibilities Own the workforce lifecycle for contractor, vendor and BPO reviewers: onboarding, offboarding, device provisioning and access provisioning Triage and execute inbound requests for new or changing vendor, BPO and contractor capacity Turn ad hoc or broken processes into scalable ones, with clear owners, service levels and a system of record Partner with IT and Security on access governance: least-privilege provisioning, timely revocation and regular access reviews Build and maintain capacity plans with Enforcement leads, translating review demand into workforce needs and adjusting as priorities shift Work with Safeguards vendor management to hold partners accountable to capacity and onboarding commitments Align practices with Human Data Operations and other teams running scaled human review, and help them streamline their own workflows Help define the long-term workforce strategy for Safeguards Enforcement Minimum qualifications Have personally run onboarding, offboarding, access and device provisioning for contractor, vendor or BPO workforces — doing the work, not only overseeing it Have operated scaled human review programs with vendors or BPOs, such as trust & safety, content moderation or data annotation operations Have taken a broken or ad hoc process, made it scalable, and brought other teams along in adopting it Understand the fundamentals of capacity planning: how volume, handle time, quality targets, ramp and attrition turn into workforce needs Exercise sound judgment on access and permissions, and know when to bring in IT or Security Move quickly and stay effective when priorities change and information is incomplete Build alignment through direct partnership with the teams you depend on Preferred qualifications Owned a vendor or BPO relationship directly, including service levels and business reviews Built formal capacity models for review or operations workforces Supported workforces across more than one enforcement or harm area Hands-on experience with device management and identity and access tooling Worked through a period of hypergrowth where programs had to mature alongside the organization The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Join Anthropic's Commercial Legal team as a Technical AI implementation specialist, where you'll be responsible for leveraging Claude and other technologies to scale and increase efficiency of legal operations. You'll drive AI adoption across team workflows, optimize internal tooling, and lead cross-functional initiatives to enhance productivity. This role offers the unique opportunity to shape the future of legal operations through technology while working with Claude and other business critical systems. Key responsibilities Implement AI-powered solutions to streamline contract review and redlining processes Manage integrations between existing legal systems and AI tools Develop automated self-service solutions for high-volume, low-touch contracting processes, including FAQ chatbots and guided workflows Create AI-based tools for handling commercial contract diligence requests Optimize contract management platforms with AI capabilities Create and manage comprehensive program plans, including timelines, budgets, and resource allocation, to guide project execution Build and maintain metrics dashboards to track efficiency improvements Establish practical governance processes for AI use in legal operations Coordinate with Engineering and Product teams on solution development Identify and mitigate potential risks and issues that could affect program success, ensuring proactive problem-solving Minimum qualifications Experience evaluating and implementing legal technology platforms such as contract management systems, workflow management systems, or document management tools Show genuine curiosity about AI/ML applications and hands-on experience with LLM tools (especially Claude!) Possess excellent problem-solving skills and can translate legal business needs into scalable technical solutions Excel at cross-functional collaboration and can communicate effectively with both technical and legal stakeholders Self-directed and can manage multiple technical projects simultaneously Preferred qualifications At least 5 years of relevant experience in legal operations, legal technology, or technical roles supporting legal teams Technical aptitude with system integration knowledge Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excellent verbal and written communication, analytical, collaboration, and interpersonal skills Proven project management skills, including the ability to prioritize tasks, meet deadlines, manage multiple projects simultaneously, and deliver quality results Collaborative team player mindset with genuine interest in technology development and AI, thriving in fast-paced environments Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: $170,000 — $220,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States 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 Capacity Deployment Lead within Anthropic's Data Center Operations (DCO) organization, you will support and scale how we bring new compute capacity online across a growing fleet of partner-operated data centers. Deployment runs from construction kickoff to ready for service (RFS). You are engaged during planning and construction, and on-site and hands-on from EFA through infrastructure delivery and receiving, integration QA, power-on and network turn-up, burn-in and validation, and acceptance. You work with hardware vendors and operations partners for completion of each CU (capacity unit) with a structured handover into production operations and the maintenance program. The scope is compute: accelerator systems, racks, and the infrastructure around them - at the sites in service today and the ones coming online behind them. This is a program and execution role. You will work with the Global Capacity Delivery Program Lead and the broader Data Center Operations organization, to extend its coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on via boots-on-the-ground for each site in preparation for and during delivery, deployment, QA, and close-out, and your authority comes from being there. Working with vendors and partners, you set direction, priorities, and standards for execution, and you prove results with Anthropic-owned data rather than self-reported status. What you learn at one site - what worked, what slipped, what should become standard - becomes the playbook for the next wave. If you have delivered data center hardware at scale, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: Own deployment outcomes for your assigned sites and data-hall waves: CUs and hall ready-for-service dates met, with exceptions closed out, or risk called early enough for leadership to act. Engage from construction kickoff and confirm deployment readiness ahead of each wave - floor access, power, network, receiving paths, and partner staffing - working the gaps with the site operations partner and facilities counterparts before racks arrive. Be on site at key points before and during delivery, deployment, QA, and close-out; verify the work with your own eyes rather than from a dashboard, and support the on-site teams with your direct expertise. Work with partner's site leadership to ensure success through rack delivery and receiving, integration QA, power-on and network turn-up, and burn-in and validation, setting daily priorities and quality gates and confirming results against Anthropic-owned ticket and telemetry data. Validate the handover gate for each CU and data hall: acceptance criteria met, burn-in complete, documentation delivered, spares positioned, ticketing live, and a structured handover into production operations and the maintenance program. Turn best practices, optimization, and lessons learned from each deployment into program-wide improvements: procedures, checklists, acceptance standards, and metrics, so the next wave runs faster and cleaner than the last. Extend the deployment program to new sites and platforms, adapting standards and acceptance criteria as the hardware changes. Communicate deployment status, dependencies, constraints, and risk to engineering, capacity planning, the team that owns the overall site schedule, and leadership. You may be a good fit if you: Have 8+ years of experience in data center operations or hardware deployment as a manager, technical lead or related role, including accountability for delivery milestones. Can demonstrate a proven track record leading compute or network hardware deployments at a large scale across multiple sites or data-hall waves, from early floor access through ready for service. Have managed vendors, OEMs, or contract workforces to measurable outcomes: milestones, quality gates, operational reviews, and corrective action. Possess hands-on technical depth in server, network, and rack-level hardware, enough to independently verify deployment quality and audit vendor claims. Have built or substantially improved operational processes. Are comfortable working with schedule, ticket, and telemetry data to drive decisions. Can travel heavily and work on site for extended stretches, including during delivery surges and turn-up windows. 50% Travel expected. Possess a bachelor's degree in relevant domain or equivalent practical experience. It’s a bonus if you have: Experience with GPU/accelerator or high-density liquid-cooled infrastructure, including bring-up of liquid-cooled racks. Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment. Experience deploying more than one accelerator platform, or introducing a new hardware platform into an existing deployment program. Experience delivering deployment outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties. Familiarity with dense accelerator network cabling, optics, and high-speed interconnect at rack and pod scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 Sales Enablement Trainer, Claude Products, you'll teach Anthropic's global sales team how to use our products, both to do their own work better and to position Claude credibly with customers. Anthropic ships quickly, and the surface area of what we build is growing faster than any individual seller can track. The job has two components. The first is enabling our own people to be power users of Claude so the field is the most sophisticated user of the product we sell. The second is enabling them to position it: to run a credible technical conversation with a customer, anticipate the hard questions, and hold their own with a technical buyer. In this role, you’ll help define what an AI-native sales team looks like. The best person in this role already uses Claude to help them excel in a sales or sales enablement role. You'll be embedded enough with Product and Applied AI to see around the corner and be opinionated enough to say which surfaces to invest enablement resources behind. You'll need enough technical credibility to earn the respect of engineers and enough commercial fluency to earn the respect of sellers. Key responsibilities Own product enablement for the global field organization, spanning new launches, existing capabilities, and the product roadmap ahead Build the programs that make Anthropic sellers genuinely expert users of Claude in their own daily work Create enablement that equips the field to position our products with technical and business buyers, including demo readiness, objection handling, and competitive framing Partner closely with Product, Product Marketing, and Applied AI to get early visibility into what is shipping and to shape how it reaches the field Anticipate which new product surfaces will require enablement investment, and make the case for that investment before launch Build and maintain the product certification path that credentials sellers on our core products Create high-quality enablement content including demo scripts, technical talk tracks, solution guides, and competitive positioning material Establish feedback loops that carry field and customer signal about product gaps back to Product and Product Marketing Minimum qualifications Experience in a sales or sales enablement role Experience building AI automations into sales workflows and tooling Hands-on, regular use of AI assistants and agentic tools (e.g., Claude, Claude Code) in your own real-world workflows Working technical knowledge of how LLM products work (e.g., prompting, context, tool use, APIs), enough to demo them live and field technical questions from engineering buyers Experience writing and presenting technical material for audiences with very different levels of technical depth Preferred qualifications Experience bridging sales and technical audiences in a role such as solutions engineering, sales engineering, technical enablement, product marketing, or technical account management Hands-on experience building with LLM APIs, agentic frameworks, or developer tooling Experience turning complex, fast-moving technical products into enablement content such as demo scripts, technical talk tracks, solution guides, or training curricula Experience owning launch readiness for a technical product across a global field organization Experience partnering with Product or Product Marketing to prepare a field team ahead of launch, not after it Experience building programs from 0 to 1 in fast-paced, ambiguous environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Frontier research runs on more than research alone. Behind every model launch, review, and cross-team program is a web of decisions, priorities, and follow-through that keeps hundreds of researchers moving in the same direction. Research Operations owns that work: we bring clarity to ambiguity, provide stability during change, and continually deepen our domain knowledge so that researchers can spend their time on the problems only they can solve. It is one of the highest-leverage functions at Anthropic. We are hiring an experienced operator to embed with the leadership of our reinforcement learning (RL) organization, the team responsible for training Claude to be more capable, more reliable, and more aligned. You will shape what leadership spends its time on, make sure priority decisions reach the right decision-makers and get made quickly, and clear the path so leaders can focus on the work that matters most. You will report to the Manager of Research Operations and work daily with RL org leaders and their teams. Key responsibilities Own leadership's time. Shape the week around the leaders' specific, most timely priorities, set agendas so meetings are spent on decisions that move the org forward, and cut what isn't critical so leaders stay focused on the areas that are highest-leverage for them. Triage what reaches leadership. Resolve what you can, route what belongs elsewhere, and thoughtfully escalate the rest. Enable wise decision-making and follow through. Give leaders what they need to decide quickly, communicate those decisions to collaborators, and track commitments through to completion. See problems coming. Surface resourcing gaps, technical bottlenecks, and stalled action-items before they become blockers. Scale leadership voice. Meetings are ephemeral; docs are forever. Draft materials for org-wide announcements, programming, and planning sessions. Protect leadership’s time for creating durable comms that set direction in turbulent times. Make the org run better. Find the friction that keeps recurring and find the people who can fix the process behind it. Be a thought partner. Offer honest, candid counsel to leaders, including crisp and kind disagreement. Minimum qualifications Care deeply about Anthropic's mission and let it underpin all judgment calls you make across the org. Technical fluency to engage substantively with researchers: you can follow a discussion about an RL training run, read a set of eval results and form reasonable hypotheses about what they mean, and hold your own in a technical conversation. You don't need to have trained a model yourself, but you should understand the model training process and have the depth to work closely with leading researchers. Clear writing: you turn dense, jargon-heavy material into summaries and plans that technical collaborators across the RL org and beyond can act on An eye for great dashboards: you can look at data visualizations and scope improvements that make lessons at-a-glance clearer and grounded. Strong follow-through and attention to detail; nothing falls through the cracks on your watch. Ability to push back on senior stakeholders to offer strategic guidance as needed, disagree without causing discord, and influence without direct authority. Comfort with ambiguity and a fast-changing environment; you stay steady when the pace is relentless and the stakes are as high as they can possibly be. Experience in an operations, chief of staff, program management, or comparable role supporting senior leaders in a fast-moving technical organization High integrity. This role sits close to decisions that execute on Anthropic’s mission, and you care about getting them right. Preferred qualifications Experience supporting a senior leader directly in a chief of staff or related function Time in a research institution, lab, or other research-heavy organization Track record of anticipating what colleagues and leaders will need and acting on it before being asked Comfort in an environment where the right answer changes hour to hour Experience moving routine operational work to AI agents, or the ability to script and build small tools Familiarity with AI safety or other existential risks. 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: $210,000 — $260,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As part of the Anthropic security department, the compliance team owns understanding security and AI safety expectations, as established by regulators, customers and (nascent) industry norms (which we also seek to influence). The compliance team uses this understanding to provide direction to internal partners on the priorities of security and safety requirements they must meet. The compliance team assures regulators and customers that those expectations are met by earning security credentials and responding to direct inquiry about Anthropics security program from auditors, customers and partners. This opportunity is unique, as we work to secure today’s most novel and valuable asset types, we must build a new kind of compliance program, assuring the safety of artificial intelligence capabilities. Key responsibilities Understand how Anthropic's security and privacy capabilities across major cloud platforms implement common frameworks (e.g., NIST 800-53, NIST 800-171, ISO 27001, ISO 27701, CSA CCM, and SOC 2). Build scalable data center and hyperscaler processes and documentation systems that will support future expansion to additional geographies and compliance frameworks. Assess and mitigate security and operational risks, implementing corrective actions, and managing vendor compliance. Coordinate engagements with independent assessors to earn security and privacy certifications and attestations important to Anthropic customers and enterprise partnerships, and to meet regulatory obligations. Write, update and enact policies capturing security, privacy, and AI safety requirements. Maintain and enhance Anthropic's system of security controls through audit readiness, recordkeeping, and cross-functional communication. Minimum qualifications Have 8+ years of progressive experience in audit and compliance roles, with direct ownership of certification/attestation or security compliance implementation projects Have worked in cloud-native environments and understand security and privacy considerations for multi-cloud and hybrid architectures Can translate complex compliance requirements into actionable workstreams for technical and non-technical stakeholders Have integrated with common controls frameworks or GRC systems that scaled with organizational growth Write clear and useful security and privacy documentation for both external and internal audiences. Thrive in ambiguous, fast-paced environments where you'll need to build processes from scratch Are comfortable organizing time-bounded task management of delegated work streams across a diverse organization Are energized by being the subject matter expert who educates the organization on new compliance requirements and auditors on current security practices Preferred qualifications Have worked in AI/ML companies and understand unique security considerations for model development and deployment Have worked with cloud companies and understand cloud security controls and physical security requirements Bring experience from high-growth technology companies managing rapid compliance expansion Have some experience implementing automated enforcement of security controls (i.e., compliance as code) Possess relevant certifications (CISA, CRISC, CISM, CISSP, or ISO 27001 Lead Auditor/Implementer) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for an Engineering Manager to lead and scale our Data Warehouse & Streaming Infra team. You'll own the data platform that Anthropic runs on: the foundation every team relies on to understand the business, make decisions, and keep our systems safe. Every org is your customer. As data volumes grow rapidly, and more of it arrives as real-time streams across multiple clouds, you'll help your team make that stack faster, more robust, and ready for what's next, and you'll shape the long-term vision for how data flows through one of the fastest-growing companies ever. This is a high-visibility, high-impact role that calls for both deep technical judgment and strong people skills. You'll partner with leaders across finance, data science, product, engineering, and research to uncover and meet their needs, and you'll grow a small, strong core into a large team. We're looking for someone who is comfortable with ambiguity, energized by both business and technical impact, and cares deeply about people. Responsibilities Lead, grow, and mentor the Data Warehouse & Streaming Infra team, fostering a culture of ownership, collaboration, engineering excellence, and execution at speed Own Anthropic's data warehousing, streaming, and processing capabilities end-to-end: "wow" user experience, ops, reliability/security/governance/cost, long-term strategic vision Support the team to scale and evolve our data ingestion, event streaming, change data capture, storage, orchestration, compute, query, and reporting systems at pace with business growth Collaborate to define and execute the roadmap for Anthropic's batch and streaming data infrastructure, balancing immediate business needs with durable, scalable design Lead key platform decisions for the streaming backbone, such as managed versus self-operated Kafka, grounded in clear models of throughput, cost, and operational burden Partner closely across Finance, Product, Research, and Engineering to ensure data systems directly support business-critical decisions and company growth Drive hiring for the team — sourcing, evaluating, and closing senior data infrastructure engineers who thrive in high-growth, high-trust environments Establish data quality standards, freshness and delivery SLAs, and operational processes that guide engineers and users through our high-change environment Ensure sound infrastructure investment decisions with clear awareness of cost, capacity, reliability, and long-term maintainability tradeoffs Align the broader Infrastructure org on a common direction for shared platforms, tooling, and best practices across Anthropic's data stack You may be a good fit if you Have 3+ years of engineering management experience, with a track record of building and leading high-performing data infrastructure teams Are a people-first leader who gives direct feedback, grows engineers' careers, and builds trust with technical and non-technical partners alike, while staying steady and principled as priorities shift, knowing when to move fast and when to do it right Bring deep, hands-on expertise in both batch and streaming data infrastructure, from warehousing, pipelines, and orchestration to event streaming and change data capture, including the fundamentals of distributed log systems such as partitioning, delivery guarantees, and backpressure Have owned systems with significant business or financial impact, and shipped at speed while improving reliability, scalability, security, and cost Excel at hiring — you've built teams from small to large, and have sharp instincts for identifying exceptional talent Strong candidates may also have experience with Warehouse and batch technologies such as BigQuery, Snowflake, Iceberg, Spark, dbt, or Airflow Streaming and change data capture technologies such as Kafka, Pub/Sub, Flink, or Debezium, ideally including running them at high scale Multi-cloud (GCP, AWS, Azure) or multi-region data platforms, including data-residency requirements Data infrastructure at AI or ML-intensive companies: you've served customer teams that build pipelines for financial/billing data, model training, evaluation, or safety workflows Building and operating observability or monitoring for data systems at scale Working in high-growth environments where data infrastructure had to evolve rapidly to keep pace with the business The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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 Design at Anthropic sits at the intersection of craft, research, and product intuition. Design systems is a growing team working on products that millions of people use daily, and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We care deeply about the details that make something feel polished, trustworthy and human. We ship fast and learn in the open. We'd rather get something in front of users and iterate than wait for perfection. The Design Systems team exists to define and elevate the language of our UI and core interactions. Every Claude product, from claude.ai to Claude Code, shares one system, including the guidance Claude itself follows when it generates UI. You would be joining an early-stage team, working with design engineers and product designers across the company. You may be a good fit if you: Are as comfortable designing on canvas tools as you are building and prototyping within the product, and prefer to ship in days, not months. Have worked on design systems that balance simplicity with creative flair to produce beautiful products out of the box. Care about the smallest details as much as the big picture, from a pixel to how the whole app fits together. Make the people around you better through sharp, kind feedback and low ego. Get up to speed quickly and can make an impact on projects already in motion. Key responsibilities Design and evolve the system, from foundations (colour, type, spacing, icons, tokens, theming) to components like menus, dialogs, sidebars and the chat composer. Design the expressive layer as a system, not one-offs: motion, illustration and icons that are brand and system at once. Make the system legible to Claude as well as people: the guidance, metadata and evals that show whether Claude uses it correctly. Partner with product teams: help designers and engineers apply the system well, and feed recurring gaps back into the system. Prototype in code and ship: land changes in the design-system package alongside engineers, using Claude Code in your own practice. Minimum qualifications Strong visual and interaction craft. Experience building or working on a design system. Experience with design tokens, theming and accessibility standards. Fluency in whichever tool gets an idea across fastest, from Figma to code. Preferred qualifications Experience building products at the highest level of craft. Has shipped voice or other beyond-the-screen work, with native mobile instincts. Has designed an icon set, illustration style or motion system used across products. Experience defining evals, lint rules or automated checks for UI quality. 8+ years of product design experience. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises in Korea understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers in Korea throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders, including global teams across time zones, to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to span the gamut from technical deep dives for engineering and development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases, including Korean language use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in people management for the technical sales roles. Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, including C-suite executives, engineering and IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Fluency in Korean and English Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced and strategic transactional attorney to join the IP team within our growing legal department. In this role, you will be responsible for the IP side of Anthropic's transactions, partnering with the M&A and commercial counsel who lead each deal. You will conduct IP diligence and negotiate IP terms for our acquisitions and investments, help advise on IP terms in our most complex commercial and research agreements, and drive the playbooks and processes that make our processes scalable. You will partner closely with the Head of IP (direct manager), our M&A and Commercial Legal teams, and Corporate Development on questions and issues that are very often new. Responsibilities Lead the IP workstream on acquisitions and strategic investments, from diligence through letters of intent, definitive agreements, closing, and integration, alongside our M&A counsel and outside counsel Partner with commercial counsel on the IP aspects of complex enterprise, partnership, research collaboration, and vendor agreements, advising on and negotiating IP terms Serve as the primary point of contact on IP terms for commercial legal and other colleagues, and help train them so they can resolve more IP questions on their own Drive the playbooks, templates, and processes that let a lean team handle IP terms across a high volume of deals Contribute to broader IP strategy, particularly where transactions intersect with open source, trade secrets, patents, or new business models Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Have substantial experience leading IP due diligence and negotiating IP terms in technology M&A Have first-chair experience negotiating IP provisions in complex commercial technology agreements, such as licenses, joint development agreements, and services agreements Have the ability to communicate IP risks and tradeoffs clearly to business leaders and non-specialist lawyers, and to exercise sound judgment about when to hold a position Have strong working knowledge of open source licensing, employee and contractor IP assignment obligations, and trade secret protection Preferred qualifications 10+ years of transactional IP experience at a nationally recognized law firm, a technology company, or both Experience building negotiation playbooks, templates, or diligence processes that other lawyers relied on Experience with AI, machine learning, data licensing, or other emerging technology Curiosity about AI and a commitment to its responsible development 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: $335,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Privacy Counsel to join our Legal team. You'll counsel on complex privacy issues and build the processes and programs that address privacy and data protection in a global context. This is a unique opportunity to join a dynamic and growing team, where you will have the chance to shape the company's privacy and data protection strategy and compliance program. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, partnering cross-functionally with Legal, Integrity & Compliance, Safeguards, Security, Policy, Research and Product. Key responsibilities Counsel product, research and engineering teams across the model and product lifecycles, applying laws written before frontier AI with clarity and fresh thinking Translate complex technical architecture into clear, actionable risk advice Deliver integrated guidance on safety, security and data protection Lead privacy on Anthropic's most strategic deals and partnerships, opening creative paths for novel technologies Negotiate privacy and data protection terms in enterprise, platform and partnership commercial agreements, including DPAs, BAAs, data sharing agreements and cross-border transfer terms Lead privacy diligence on mergers and acquisitions, and support corporate governance Collaborate closely with counsel and privacy colleagues on joint analysis, bringing competing views together into a single, well-reasoned position Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Hands-on experience advising a technology business (in-house or at a leading law firm) on privacy and data protection Experience drafting and negotiating data protection agreements, such as DPAs, BAAs and data sharing agreements Working knowledge of key global privacy laws, including those of the Americas, EEA and APAC Ability to read and engage with technical documentation, such as system designs and architecture diagrams Excellent legal writing, including clear, concise advice Preferred qualifications At least 8 years of privacy and data protection legal experience Deep familiarity with software and model development and architecture Proven ability to build privacy processes, playbooks and templates that scale with a fast-growing business Direct engagement with privacy regulators, including providing briefings and responding to inquiries Privacy and data protection work on mergers, acquisitions, and similar transactions Background advising safety, security or trust and safety teams, including on privacy incidents and notification decisions Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $335,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Legal team is looking for an experienced litigator to join our Litigation and Regulatory team. You'll manage a broad docket of litigation files and pre-litigation disputes with a high degree of autonomy, advise the business on litigation risk, and help build the systems and processes that let a growing litigation function operate well at scale. The matters you'll handle span intellectual property (particularly copyright), class actions, commercial disputes, and could include securities and shareholder disputes, in both first-party and third-party matters, in the U.S. and abroad. You'll partner closely with colleagues across Legal and teams throughout the company to resolve matters thoughtfully and with minimal disruption to the business. You may also support regulatory investigations and inquiries as needed. Key responsibilities Manage a broad range of litigation matters that could include intellectual property (particularly copyright) matters, class actions, regulatory and commercial disputes, and securities cases Direct outside counsel across all stages of litigation, from pre-suit response through discovery, dispositive briefing, trial or resolution and appeal, with a focus on strategic decision-making and filing excellent legal briefs Manage small disputes and escalations to limit business friction and minimize risk Advise company leadership and cross-functional partners on litigation risk, and develop appropriate strategic litigation plans, including matter-resolution proposals Design and implement processes, policies, and tools that help the litigation and regulatory team handle matters efficiently and at scale, such as matter intake, outside counsel budgeting, contingency reporting, and pre-litigation escalation run books Work cross-functionally to gather information efficiently and evaluate risk Support responses to regulatory investigations and inquiries as needed Stay up to date on relevant laws, litigation trends, and AI-related case law, and share developments with key stakeholders Mentor and develop team members through hands-on work on active matters Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Have litigated some combination of copyright, class action, securities, and regulatory matters Have broad experience handling complex civil litigation, with deep knowledge of litigation practice and procedure, discovery, and federal and/or CA state court rules Have managed litigation matters with significant independence, including setting case strategy, managing discovery, writing and improving legal briefs, and directing outside counsel Write and communicate clearly, with the ability to explain litigation risk and strategy, particularly for non-legal audiences at all levels of seniority Exhibit poise and judgment under pressure while balancing legal risk with business priorities Preferred qualifications At least 12 years of litigation experience with a combination of experience at a global-focused law firm and in-house Experience representing technology companies, particularly companies working in emerging technologies Experience building systems, processes, or tools for an in-house legal team, such as matter management, outside counsel budgeting, or litigation reporting Experience managing regulatory responses or investigations, including both first-party and third-party responses Creativity and openness to novel solutions when advancing business priorities while addressing legal risk Ability to think and work quickly, have a flexible risk tolerance, and a good sense of humor Low ego and a real willingness to roll up your sleeves to solve problems whether mundane or complex A thoughtful and empathetic colleague who works well with legal colleagues, outside counsel, and business partners A genuine interest in the development of AI that is both innovative and trustworthy, including the opportunities it creates and the risks and limitations that must be addressed Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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. 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: Riyadh, Saudi Arabia We are seeking an experienced Plant Tissue Culture Technician responsible for the laboratory-based propagation of rare, endangered, difficult-to-propagate, and high-value plant species using tissue culture and micropropagation techniques . The role will support living plant collections, plant conservation programmes, and specialised in-vitro propagation activities. The successful candidate will establish and maintain sterile laboratory conditions, prepare culture media, initiate and maintain plant cultures, monitor plant development, and support the acclimatisation of tissue-cultured plants. Key Responsibilities Propagate rare, endangered, difficult-to-propagate, and high-value plant species using tissue culture and micropropagation techniques. Initiate, establish, multiply, root, and maintain in-vitro plant cultures according to species-specific protocols. Select and prepare suitable explant material for tissue culture initiation. Perform surface sterilisation and maintain strict aseptic techniques to minimise contamination. Prepare and modify plant tissue culture media, including nutrients, vitamins, plant growth regulators, carbohydrates, and gelling agents. Monitor cultures for growth, development, contamination, physiological abnormalities, and overall performance. Conduct routine subculturing and transfer plant material under sterile conditions. Maintain appropriate temperature, photoperiod, light intensity, and other environmental conditions for tissue cultures. Operate, clean, sterilise, and maintain laboratory equipment including autoclaves, laminar-flow cabinets, growth chambers, balances, pH meters, and microscopes . Monitor equipment performance and coordinate maintenance and calibration requirements. Implement laboratory cleaning, sterilisation, contamination-control, and waste-management procedures. Identify sources of microbial contamination and implement corrective and preventive measures. Support the transfer and acclimatisation of tissue-cultured plants from in-vitro to ex-vitro conditions. Develop, refine, document, and standardise tissue culture protocols for priority plant species. Maintain detailed records covering explant sources, media formulations, culture dates, subcultures, treatments, contamination rates, multiplication rates, rooting success, and plant survival. Maintain laboratory inventories of culture media components, consumables, chemicals, glassware, and sterile materials. Support plant conservation and recovery programmes for endangered, threatened, rare, and difficult-to-propagate species. Assist with research and trials aimed at improving propagation success. Provide practical training and technical guidance to staff, interns, and students. Ensure laboratory activities comply with applicable health, safety, chemical handling, biological material, biosecurity, and laboratory operating requirements. Requirements Degree in Biology, Plant Biology, Botany, Biotechnology, Plant Sciences, Horticulture , or a related field. Formal training in plant tissue culture, micropropagation, plant biotechnology , or related laboratory techniques is preferred. Minimum 5+ years of relevant laboratory experience involving plant tissue culture and micropropagation. Demonstrated practical experience in culture initiation, multiplication, subculturing, rooting, and culture maintenance . Experience propagating rare, endangered, difficult-to-propagate, or high-value plant species is highly desirable. Strong practical experience in explant selection, preparation, surface sterilisation, and aseptic handling . Demonstrated experience preparing and modifying plant tissue culture media and working with plant growth regulators . Extensive experience maintaining sterile laboratory conditions and controlling contamination. Hands-on experience operating autoclaves, laminar-flow cabinets, growth chambers, pH meters, balances, microscopes , and related laboratory equipment. Experience identifying and troubleshooting contamination, culture decline, abnormal growth, poor multiplication, and rooting problems. Experience monitoring environmental conditions for in-vitro cultures. Experience with hardening and acclimatisation of tissue-cultured plants to greenhouse or nursery environments. Experience developing, testing, refining, or documenting species-specific micropropagation protocols. Strong laboratory record-keeping, data-management, inventory-management, and technical documentation skills. Experience supporting plant conservation, ex-situ conservation, or endangered species propagation projects is preferred. Ability to collaborate effectively with botanists, horticulturists, researchers, conservation specialists, and academic institutions . Demonstrated ability to train staff, interns, students, or laboratory personnel in tissue culture techniques. Strong troubleshooting, analytical, observational, and problem-solving skills. Strong attention to detail and ability to perform laboratory procedures consistently and precisely. Previous experience in a botanic garden, plant tissue culture laboratory, research institution, university, conservation facility, commercial micropropagation laboratory, or comparable plant-science environment is preferred

Location: Riyadh, Saudi Arabia The Plant Propagator is responsible for the propagation, establishment, and management of plant material required to support the Botanic Gardens’ living collections, displays, conservation programmes, and horticulture operations. The role applies a range of propagation methods, including seeds, cuttings, grafting, division, and other vegetative techniques, to produce healthy and genetically appropriate plant stock. The Plant Propagator will manage nursery areas and propagation stock, develop and refine propagation protocols for rare, endangered, and difficult-to-propagate species, and monitor plants through the different stages of establishment. The role will maintain detailed propagation records and evaluate success rates to continuously improve propagation techniques and support the long-term sustainability and conservation value of the Botanic Gardens' plant collections. Scope of Work Propagate plants using a range of techniques, including seeds, cuttings, grafting, budding, layering, division, and other appropriate vegetative propagation methods. Select appropriate propagation techniques according to species characteristics, seasonal requirements, plant condition, and collection objectives. Collect, prepare, process, and appropriately store seeds and vegetative propagation material. Assess the quality and viability of propagation material prior to use. Prepare appropriate propagation media and containers according to species-specific requirements. Apply appropriate seed treatments, including scarification, stratification, soaking, or other pre-germination treatments where required. Prepare and treat cuttings and other vegetative material to promote successful rooting and establishment. Undertake grafting, budding, division, and other specialist propagation activities where appropriate. Monitor germination, rooting, establishment, growth, and overall plant health throughout the propagation process. Propagate plants using a range of techniques, including seeds, cuttings, grafting, budding, layering, division, and other appropriate vegetative propagation methods. Select appropriate propagation techniques according to species characteristics, seasonal requirements, plant condition, and collection objectives. Collect, prepare, process, and appropriately store seeds and vegetative propagation material. Assess the quality and viability of propagation material prior to use. Prepare appropriate propagation media and containers according to species-specific requirements. Apply appropriate seed treatments, including scarification, stratification, soaking, or other pre-germination treatments where required. Prepare and treat cuttings and other vegetative material to promote successful rooting and establishment. Undertake grafting, budding, division, and other specialist propagation activities where appropriate. Monitor germination, rooting, establishment, growth, and overall plant health throughout the propagation process. Identify and address propagation problems, including poor germination, rooting failure, disease, pest infestation, nutrient deficiencies, and environmental stress. Manage and maintain nursery and propagation areas, ensuring appropriate growing conditions, hygiene, organisation, and plant-care standards. Manage nursery plant stock to meet the requirements of garden collections, seasonal displays, replacement planting, conservation programmes, and other horticulture activities. Monitor and manage irrigation, humidity, shade, temperature, growing media, fertilisation, and plant nutrition within propagation and nursery areas. Coordinate the movement of successfully propagated plants from propagation areas into nursery, greenhouse, indoor, or outdoor garden environments. Support appropriate hardening and acclimatisation of young plants prior to establishment within garden collections. Develop, test, document, and refine species-specific propagation protocols, particularly for rare, endangered, sensitive, and difficult-to-propagate plant species. Conduct propagation trials to identify methods that improve germination, rooting, survival, and establishment rates. Collaborate with curators, botanists, horticulturists, conservation specialists, and other technical staff to identify propagation priorities. Support ex situ conservation and collection-development programmes through propagation of priority plant species. Ensure propagation activities maintain appropriate provenance and collection information for conservation and scientifically important material. Maintain detailed records of propagation activities, methods, source material, dates, treatments, environmental conditions, quantities, germination rates, rooting rates, losses, and overall success rates. Maintain accurate nursery stock inventories and update relevant plant collection or propagation databases. Analyse propagation outcomes and use results to improve future propagation protocols and practices. Implement appropriate nursery hygiene, sanitation, plant-health, and biosecurity procedures. Support Integrated Pest Management (IPM) within nursery and propagation areas. Maintain propagation tools, equipment, facilities, and work areas in a clean, safe, and operational condition. Ensure propagation activities comply with applicable health and safety, environment, biosecurity, and horticulture operating procedures. Requirements Bachelor's degree in Horticulture, Botany, Plant Sciences, Plant Biology, or a related discipline. Specialist training or certification in plant propagation, nursery management, seed technology, grafting, or related horticulture disciplines is advantageous. Additional training in rare plant propagation, seed conservation, nursery biosecurity, or plant conservation is advantageous. Minimum 5+ years of relevant professional experience in plant propagation and nursery horticulture. Demonstrated experience propagating plants using multiple methods, including seeds and cuttings. Practical experience with grafting, budding, layering, division, and other vegetative propagation techniques is highly desirable. Experience selecting, collecting, preparing, and handling seed and vegetative propagation material. Demonstrated experience with seed germination, dormancy-breaking treatments, and seedling establishment. Practical experience preparing and rooting cuttings using appropriate growing media, environmental conditions, and rooting treatments. Experience managing nursery areas and plant stock for botanic, horticulture, landscape, conservation, or comparable plant collections. Experience monitoring and managing irrigation, humidity, temperature, shade, growing media, and plant nutrition within nursery and propagation environments. Experience monitoring plant health and addressing pests, diseases, nutrient deficiencies, and environmental stresses during propagation. Demonstrated experience developing, testing, or refining plant propagation protocols. Experience propagating rare, endangered, sensitive, or difficult-to-propagate species is preferred. Experience supporting ex situ conservation, botanical collection development, or conservation propagation programmes is advantageous. Experience with the hardening, acclimatisation, and establishment of propagated plants into nursery, greenhouse, or garden environments. Demonstrated experience maintaining detailed propagation records and monitoring germination, rooting, survival, and success rates. Experience maintaining nursery stock inventories and plant provenance or accession information. Experience implementing nursery hygiene, sanitation, biosecurity, and Integrated Pest Management practices. Experience collaborating with horticulturists, botanists, curators, researchers, and conservation specialists on propagation programmes. Previous experience within a botanic garden, nursery, arboretum, conservation facility, research institution, seed facility, or comparable horticulture environment is preferred.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity.  You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. Ability to write safety evals and communicate externally about safety. Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. Evidence of exercising judgment and decision making in ambiguous situations. Planning, building, launching and measuring new products / systems in a zero to one environment. Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. 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. 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 We are looking for a Director, IT SOX to join the Internal Audit team at Anthropic. In this role, you will be a hands-on technical contributor and key executor of our IT SOX compliance program, with deep focus on our IT General Controls, IT Application Controls, and system risk assessments. This role reports to the Head of IT SOX and is well-suited for someone who is comfortable with ambiguity, thrives in a high-pace environment, and enjoys solving problems that don't yet have industry-standard answers. This is a high-impact opportunity to collaborate with first and second lines of defense to help establish a control environment suitable for an AI-first company! You will act as a trusted advisor to Engineering, GRC, Security and Finance teams on the technology controls adapted to a fast growing and rapidly changing organization. You'll bring technical depth, a bias toward automation, and the ability to partner effectively with both technical teams and external auditors as the organization experiences scaling to public-company standards. Key responsibilities Advise on the design of a control environment fit for an AI-first company, including controls over highly automated DevOps pipelines and emerging agentic identity models Partner with Engineering, Security, IT, and DevOps teams to assess the design and implementation of scalable and sustainable controls Assess new system implementations and changes Identify automation and tooling opportunities to improve control efficiency and monitoring, and contribute to the development of continuous monitoring capabilities Assist in scoping and planning for annual SOX IT assessments Execute IT SOX testing across IT General Controls and IT Application Controls, including access management, change management, and computer operations Perform system and process risk assessments to identify control gaps and recommend remediation Own control documentation and ensure audit-ready evidence is current and complete Evaluate IT automated controls and support the shift from manual to automated control reliance Scale the IT SOX program as the company grows — rationalizing scope, standardizing testing approaches, and building repeatable processes that keep pace with new systems and entities Guide and direct the day-to-day work of internal team members and co-sourced partners: setting priorities, reviewing workpapers, and ensuring quality and consistency across the testing program Build strong working relationships with process and control owners across the organization Translate technical control requirements for non-technical stakeholders and vice versa Support SEC cybersecurity disclosure requirements and related risk monitoring efforts Coordinate with external auditors on IT SOX matters, including evidence requests, walkthroughs, and testing schedules Track and assist with remediation of audit findings; communicate status to the Head of IT SOX and relevant stakeholders Minimum qualifications Hands-on IT audit or IT SOX compliance experience, ideally in a fast-paced technology environment Deep working knowledge of ITGCs, ITACs, and IT risk assessment methodologies Experience auditing highly automated DevOps environments (CI/CD pipelines, infrastructure-as-code, automated deployments) and adapting traditional change-management and access controls to them Experience designing, testing, and documenting controls across access management, change management, and computer operations Demonstrated comfort with ambiguity and the ability to operate effectively in a high-pace, rapidly changing environment Ability to effectively guide and direct the work of internal team members and/or co-sourced partners Ability to work independently on complex, ambiguous workstreams while communicating proactively with senior stakeholders Strong project management and organizational skills with close attention to detail Clear, effective communicator — able to work across technical and non-technical audiences Preferred qualifications 12+ years of hands-on IT audit and SOX compliance experience, including time in a Big 4 or comparable environment Hands-on experience with cloud environments (GCP, AWS, and/or Azure) Experience scaling a compliance program to public-company standards Track record of scaling an audit or SOX program through periods of rapid growth Familiarity with enterprise systems such as Workday, Salesforce, or GitHub Experience evaluating SDLC controls in modern software development environments CISA, CIA, CISSP, CPA, or equivalent certification Genuine enthusiasm for working in an AI-first environment — applying AI to audit work itself and rethinking assumptions about how controls operate when AI is embedded in the processes being audited The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.