Anthropic

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 databases underpin every service the company runs: Claude, our APIs, and the internal systems behind them. We're hiring a Technical Program Manager to drive the strategy and execution that takes this infrastructure to the next level of availability and scale. The mandate centers on three interlocking strategies: - Cross-region: how our databases achieve resilience and locality across geographic regions - Multi-cloud: how we run and operate databases across multiple hyperscalers - Private, public, and hybrid cloud: how our database footprint spans owned, cloud, and mixed environments Success in this role is a highly available, 24x7x365 database infrastructure that every Anthropic service can depend on, across regions, clouds, and deployment models. Responsibilities - Own the roadmap and execution across all three strategy pillars, turning architectural direction into sequenced, deliverable programs - Coordinate across an unusually broad set of partners: database vendors, hyperscalers, internal platform teams, and infrastructure teams - Manage external vendor and hyperscaler relationships at the working level: commitments, escalations, and joint roadmaps - Drive the dependencies, risks, and tradeoffs that come with operating databases as critical infrastructure for every service at Anthropic - Create program documentation including roadmaps, status reports, risk assessments, and communication plans - Facilitate technical decision-making by bringing together stakeholders, driving consensus, and ensuring timely resolution of blocking issues You may be a good fit if you - Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs - Have experience with database, storage, or core infrastructure programs and can engage meaningfully with the engineers who design and operate them - Have managed external vendor or cloud provider relationships at the working level, including commitments, escalations, and joint roadmaps - Have experience with cross-region, multi-cloud, or hybrid cloud infrastructure (preferred but not required) - Are highly organized and can manage multiple parallel workstreams effectively across distributed teams - Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations - Have excellent written and verbal communication skills, with the ability to influence without authority - Are passionate about Anthropic's mission and interested in the challenges of operating AI infrastructure safely and reliably The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earning

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 Technical CBRN-E Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats. We are particularly interested in candidates with deep expertise in either chemical defense or biodefense. You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm. Your specialized domain expertise will be critical to protecting against some of the most serious potential misuses of AI systems. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities - Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment - Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors - Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns - Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems - Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs - Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions - Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities - Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes You may be a good fit if you - Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains - Have demonstrated proficiency in SQL and Python for data analysis and threat detection - Have experience with threat actor profiling and utilizing threat intelligence frameworks - Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats - Have excellent stakeholder management skills and ability to work with diverse teams including researchers,

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're seeking an experienced Policy Communications Manager to help drive external communications for our security, governance, and responsible scaling programs, and associated work. This role offers the opportunity to help shape how Anthropic communicates about our approach to developing secure AI systems and products, our work to uphold and iterate on our Responsible Scaling Policy framework, and the unique corporate structure that keeps the company accountable to its mission, including our Long-Term Benefit Trust (LTBT) and our status as a public benefit corporation. You'll partner closely with our security, product, legal, governance, and Responsible Scaling Policy (RSP) teams to communicate Anthropic's approach to building safe and secure AI models as the technology becomes increasingly capable across critical domains like cybersecurity. You'll also help lead communications about how Anthropic is governed: the role of the LTBT's independent trustees in overseeing the company and electing members of our board, the obligations that come with our public benefit corporation charter, and why we believe this structure matters as AI systems grow more powerful. As governments establish regulatory frameworks for frontier AI, you'll help articulate how Anthropic approaches its transparency obligations and public reporting commitments, translating evolving requirements into clear, credible external communications. This will include balancing proactive storytelling about product security updates and launches with thoughtful handling of reactive matters as they arise. We're charting new terrain communicating about fast-moving frontier model capabilities and threat surfaces, and about institutional structures few other companies have built. You'll bring strong communications fundamentals to the role but recognize that traditional approaches may not map cleanly to the novel issues we're tackling. The ideal candidate is an experienced issues handler with strong executive management skills, attention to detail, and the judgment to navigate sensitive topics with care. You should be able to move quickly under pressure and tight deadlines, write crisply, and distill complex security, governance, and technical topics for a broad audience while maintaining accuracy. This is a unique opportunity to help define how one of the world's leading AI safety companies communicates about the security and governance challenges that will shape the future of the technology. Key responsibilities: - Develop and execute communications strategies for Anthropic's approach to AI security, governance, and responsible scaling - Drive external communications about Anthropic's corporate governance, including the Long-Term Benefit Trust and our public benefit corporation status, explaining how these structures provide independent oversight and accountability to our mission - Serve as a trusted communications partner to security, product, legal, governance, and RSP leaders on sensitive, fast-moving matters - Develop proactive communications around emerging regulatory frameworks and transparency obligations, including public reporting commitments, disclosure requirements, and Anthropic's engagement with oversight bodies - Manage reactive inbound media requests on complex security and governance topics -

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 Research Engineers to help us redesign how Claude interacts with external data sources. Many of the paradigms for how data and knowledge bases are organized assume human consumers and constraints. This is no longer true in a world of LLMs! Your job will be to design new architectures for how information is organized, and train language models to optimally use those architectures. Responsibilities: - Designing and implementing from scratch new information architecture strategies - Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures - Building “hard” knowledge base eval sets to help identify failure modes of how language models work with external data - Designing and evaluating advanced agentic search capabilities. You may be a good fit if you: - Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using - Have good machine learning research experience - Have experience developing software that utilizes Large Language Models such as Claude - Are results-oriented, with a bias towards flexibility and impact - Pick up slack, even if it goes outside your job description - Enjoy pair programming (we love to pair!) - Want to partner with world-class ML researchers to develop new LLM capabilities - Care about the societal impacts of your work - Have clear written and verbal communication Strong candidates will also have experience with: - Collaborating with product teams to quickly prototype and deliver innovative solutions - Building complex agentic systems that utilize LLMs - Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 - $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of expe

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 researchers generate and depend on enormous amounts of data — training runs, evaluations, RL transcripts, annotations etc... The Research Data Platform team builds the systems that make that data easy to produce, find, query, and trust. We work in two modes: we build platform components that other systems plug into (for example, a metrics library that training frameworks integrate to record and retrieve run data), and we own core datasets end to end (for example, the data pipeline behind RL transcripts). As the team's tech lead, your job starts with our users. You'll work directly with researchers — and with the engineers who support them — to understand how they actually work, where managing data slows them down, and where a well-built platform component or a well-curated dataset would change what's possible. You'll turn what you learn into technical direction for the team, in partnership with the team's manager, who owns priorities and people. A central ambition you'll drive: a small set of canonical, well-documented datasets — starting with the core data model for RL — that researchers trust and standardize on, rather than every team managing its own copies. You'll spend your first few months close to the code and close to users: shipping improvements in our core systems, embedding with research teams, and building your own map of their workflows. As the team grows, this role has a natural path into formal people leadership for someone who wants it. Responsibilities - Work directly with researchers and the engineers supporting them to understand their workflows, identify the highest-leverage opportunities, and shape what the team builds next - Set the technical direction for the team across our platform and our datasets - Design and build platform components that other teams plug into — libraries, services, and interfaces such as the metrics library used by training frameworks - Own core datasets end to end: the pipelines that produce them, the schemas that define them, and the documentation and guarantees that make researchers trust them - Drive convergence toward canonical datasets — including the core data model for RL transcripts — that research teams standardize on - Lead complex, multi-quarter projects that span several systems and teams, staying hands-on in the code - Raise the team's technical bar through design reviews, mentorship, and the quality of your own work You may be a good fit if you: - Have built and operated data-intensive systems at scale — pipelines, storage layers, query systems — with strong instincts for data modeling and schema design that hold up as usage grows - Have set technical direction for a team, or owned the architecture of a data platform that other teams build on - Treat internal users as customers: you do the discovery work, iterate with users, and measure success by adoption rather than by shipping - Understand that researchers aren’t typical internal customers — the work is exploratory by nature, workflows differ from team to team, and requirements are discovered through experiments rather than specified up f

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring our first Singapore-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. Note: Specialists in this role will work Wednesday to Sunday Responsibilities: - Become an expert in all Anthropic products - Respond to user support cases with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses - Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace - Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical ‘pager duty’ during APAC hours to ensure 24/7 Support for Critical Queries. - Prioritize critically and comfortably adapt to an ever-evolving product landscape - Operate in ambiguity, making informed decisions even in never-before-seen situations - Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale - Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates - Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products You may be a good fit if you: - Have experience in providing technical product support within a second tier, escalated, or priority support team. - Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease - Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.) - Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution - Have crisp but kind written communication skills and a deep care for the details - Enjoy helping others learn about new features and complex concepts - Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward - Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work. And particularly key for this role due to it being among the first Support hires in APAC

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 Research Productivity organization builds the infrastructure and systems that accelerate research across Anthropic, including the tools that help our research process get faster and more effective over time. We're looking for an experienced software engineer to join us as we scale this infrastructure at a moment when both demand and scope are growing extremely quickly. This team operates like a startup within a startup. You'll be a strong fit if you like thinking from first principles, iterating fast on infrastructure, and tackling reliability and scalability challenges head-on as the products built on top of your systems evolve underneath you. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make the architectural decisions that shape how the infrastructure behind our research tooling gets built. You'll partner directly with research teams to understand their workflows, anticipate how their requirements will change, and design and scale infrastructure that can keep pace. Responsibilities - Design, build, and scale infrastructure and systems that support rapidly increasing usage, where requirements and workload continue to evolve as the products built on top of them evolve - Independently scope and lead complex, multi-month engineering projects, from an ambiguous starting point through to a production system - Drive cross-organizational alignment on technical direction, working through ambiguous problem spaces with multiple stakeholders and teams - Make architectural decisions that shape the foundation of research infrastructure and tooling across Anthropic - Partner directly with researchers to deeply understand their workflows, then anticipate and design for how those needs will change - Iterate quickly, favoring pragmatic, first-principles solutions and fast feedback loops over heavy upfront design - Take ownership of the reliability and scalability of critical systems as load, usage, and complexity increase - Help set technical standards and best practices for the team, and mentor other engineers Minimum Qualifications - Experience designing, building, and operating large-scale distributed systems or infrastructure in production - A track record of independently scoping and

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 an exceptional Legal Program Manager to serve as the operational backbone of contracting for the Compute and Infrastructure team. We'll rely on you to manage a high volume of procurement and vendor agreements — including datacenter colocation, lease, and build-to-suit agreements; hardware, chip, and network-equipment procurement; and construction, facilities, and operations-and-maintenance (O&M) contracts — along with the NDAs, order forms, SOWs, and amendments that surround them. You will build the scalable contracting processes — templates, playbooks, intake and approval workflows, and contract lifecycle management — that let the business move at the speed of Anthropic’s infrastructure buildout. This role owns the system, throughput, and visibility that move every agreement from intake through signature. Key responsibilities - Coordinate and shepherd a high volume of compute and infrastructure procurement transactions — datacenter colocation, lease, and build-to-suit agreements; hardware, chip, and network-equipment procurement; construction/EPC and facilities/O&M agreements; and the supporting NDAs, order forms, SOWs, and amendments — driving each from intake through signature - Own and administer the contract lifecycle management system: workflow design and configuration, templates, approval routing, signing and archive and integrity hygiene - Design and run intake and triage: how requests enter, how they are prioritized, and how they route to the right owner - Propose and develop scalable solutions to improve contracting efficiency and throughput across the infrastructure vendor base - Collaborate with business units and legal team members to streamline contract management processes, manage post-signature obligations and renewals across the infrastructure vendor portfolio, identify potential risks, and drive continuous improvement in contract handling efficiency - Partner closely with the Compute and Infrastructure, Product, Finance, Security, Business Operations, and Procurement Ops teams to achieve key business objectives and deliver strategic, business-minded, and solutions-focused counsel - Build reporting, dashboards, SLAs, and the metrics that surface turnaround times and bottlenecks across the infrastructure vendor portfolio - Deploy LLM and AI tooling to scale contracting throughput and reduce manual handling Minimum Qualifications - Experience operating in a fast-paced technology startup in which priorities shift rapidly and schedules "move to the left," thriving in this dynamic environment and priding yourself on your adaptability and ability to pivot with speed and grace - Initiative and autonomy in managing complex contractual matters, effectively prioritizing competing deadlines - An understanding of what's important in the context of a contract, the organization's mission, and enough contract fluency to triage and route requests, track obligations, and pull in relevant legal counsel - Excitement to grow with an organization and help shape the culture of the commercial function - A prefe

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. The Creative Studio is Anthropic's in-house creative team responsible for the brand expression across Anthropic and Claude. We care about craft, making things by hand and using AI when it makes sense. We're looking for a senior Design Engineer to join our Brand Web team, working at the intersection of design and engineering to shape how Anthropic's web properties get built. In this role, you'll own significant surfaces of anthropic.com and claude.com — from interactive marketing pages and data visualization systems to the internal tooling that keeps our content operations running at scale. You'll work as a peer to designers, engineers, and brand and content teams across the company, setting technical direction on the work you lead and partnering with platform and product engineering teams on the infrastructure that underpins it. We're actively growing the engineering function on the Web team, and you'll help shape how it operates as it scales. Rapid prototyping is core to how we work, and you'll be expected to move from concept to production with both speed and craft. Responsibilities - Own the architecture and implementation of significant surfaces of claude.com and/or anthropic.com , including design system code, page templates, interactive experiences, and data visualization systems. Set the technical direction, not just deliver against it. - Lead the technical side of major web initiatives end-to-end, such as migrations, redesigns, and new product surfaces, including scoping, architecture decisions, partner coordination, and shipping. - Define and evolve our headless CMS architecture, including content modeling, structured data workflows, editorial governance in code, and the systems that make the CMS usable by non-engineers across the company. - Build creative tooling and internal systems that change how the team works: Claude-powered design system tools, page generators, content workflows, and MCP integrations. This is where the team's leverage compounds, and we expect this role to actively grow it. - Partner directly with Web Platforms, Security, and Growth Product Engineering on the surfaces that span teams: deployments, performance, technical SEO, experimentation infrastructure, and incident response. Be the technical owner those teams partner with on our behalf. - Make and document architecture and technical standards decisions: framework choices, performance budgets, accessibility implementation, code quality, and frontend infrastructure. Raise the bar on craft for engineers across the team. - Build and evolve the localization infrastructure that supports our growing international presence, including content modeling for translation workflows, integration with translation vendors, and the patterns that make localized pages performant and maintainable across markets. - Mentor mid-level engineers and contribute to hiring. As the team grows, this role should be one of the technical leaders shaping how we work. You may be a good fit if you - Have deep experience building and shipping production web properties at scale, including ownership of architecture decisions and the consequences of them in production. - Are expe

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 Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic’s Data Center team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry. As a Data Center Electrical Engineer based in Japan, you’ll lead the electrical design of our facilities across our rapidly expanding Asia Pacific (APAC) portfolio — owning the architecture from the utility service entrance through to the rack. You’ll develop and maintain the reference designs and specifications our build partners work against, review their engineering submittals, and run the analysis needed to make confident decisions on topology, redundancy, and equipment selection. You’ll ensure the electrical architecture keeps pace with rapidly increasing rack densities and the unique load characteristics of large-scale ML training. This is a global role with a regional focus. You’ll bring fluency in the data center design conventions, codes, and supply markets of Japan, Korea, and the broader APAC region including Australia, and act as Anthropic’s on-the-ground electrical subject-matter expert with local utilities, agencies having jurisdiction, vendors, and contractors. It is also a highly cross-functional role: you’ll work with our hardware and compute teams to translate accelerator requirements into electrical design criteria, and with supply chain to qualify regional equipment vendors and create optionality in a constrained market. Strong candidates will bring deep mission-critical electrical design experience and the judgment to make sound trade-offs when the standard playbook doesn’t apply. Responsibilities Electrical design & engineering - Lead the electrical design of critical data center equipment across the APAC portfolio, including utility interface and substation, site-wide medium-voltage (MV) infrastructure, generators, uninterruptible power supplies (UPS), switchgear, transformers, and earthing/grounding systems. - Develop and maintain Anthropic’s electrical basis of design, reference architectures, and technical specifications for critical power distribution — covering switchgear, UPS systems, PDUs, busway, and rack power delivery — producing designs that meet or exceed our quality requirements while staying within budgetary targets. - Perform and validate engineering studies including short-circuit, coordination, arc flash, load flow, and power quality analysis; use findings to steer design decisions and equipment selection. - Read, interpret, and validate data center floor plans and technical drawings, and design and plan DC hall layouts for newly allocated spaces — including rack positioning, structured cabling, power distribution, and coordination with the cooling design. Partner, vendor & utility coordination - <p

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 Beneficial Deployments: Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor. About the role: We're looking for an Applied AI Engineer to join our Beneficial Deployments team. You’ll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships. Responsibilities: - Serve as a deep technical partner to mission-driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more - Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development - Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP’s, and Agent Skills - Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research - Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service - Help shape team processes and culture as we scale from 1 to N - Travel occasionally to customer sites for workshops, technical deep dives, and relationship building You might be a good fit if you have: - 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder - Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale - Builder credibility that earns trust with technical founders and engineering teams—you've shipped products and can speak from experience - Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organizations, understanding their unique challenges and constraints - A love of teaching, mentoring, and helping others succeed - A scrappy mentality - comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £240,000 - £255,000 GBP <div class="content-conclusion"&gt

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 ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. Responsibilities - Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on - Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts - Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks - Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse You may be a good fit if you - Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry - Have proficiency in Python and experience building ML systems - Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems - Are worried about misuse risks of AI systems, and want to work to mitigate them - Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also have experience with - Language modeling and transformers - Building classifiers, anomaly detection systems, or behavioral ML - Adversarial machine learning or red-teaming - Interpretability or probes - Reinforcement learning - High-performance, large-scale ML systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 - $500,000 USD Logistics Minimum education: Bac

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 publishes risk reports: long-form technical documents laying out our assessment of the most serious potential risks from our models in domains like CBRN, cyber operations, and AI autonomy, along with the evaluation results behind that assessment, the safeguards we've applied, and our reasoning for why a given model is safe to deploy under our Responsible Scaling Policy. Some risk reports are standalone periodic assessments; others are more targeted, produced when we release a specific frontier model. These are some of the most consequential documents we produce, and one of the main ways we hold ourselves publicly accountable for the safety claims we make. We're hiring a Research Operations Specialist to own risk report operations. You'll be embedded with safety and research teams through each report cycle: coordinating contributions from dozens of researchers, holding the schedule and the open-threads list, and making sure the document ships on time as a single, internally consistent whole. You'll also do substantive editorial work, turning evaluation results, threat models, and researcher notes into clear prose and pushing back when a safety argument doesn't hold together. Risk reports sit within a wider family of external safety artifacts, including system cards and Responsible Scaling Policy updates. Part of this role is keeping those documents consistent with each other so that what we commit to in one place matches what we commit to and deliver on everywhere else. This role sits in Research Operations and works closely with our Frontier Red Team, Safeguards, Alignment, and capabilities researchers. The job is part project management, part translation: keeping a complex, many-author, hard-deadline document on track while making frontier risk assessment legible to researchers, policymakers, journalists, and the public without losing precision. Key responsibilities - Drive risk report production end to end: own the timeline, the contributor list, and the open-threads tracker - Coordinate core contributors across Frontier Red Team, Safeguards, Alignment, Interpretability, and capabilities research; chase drafts, resolve disagreements, find ground truth, and run the final polish pass - Edit (and sometimes write) content; work with researchers and red-teamers to turn evaluation results, threat models, and plots into clear, non-marketing prose, and keep Anthropic's voice consistent across sections drafted by many different people - Guard accuracy and consistency: catch terminology drift, risk claims that subtly contradict each other, and gaps between internal findings and what the draft says - Keep the risk report aligned with system cards, RSP disclosures, and other safety documentation, and flag conflicts early - Improve the process between reports; build templates, style guidance, and contributor checklists so each cycle starts from a stronger baseline - Pick up other research-adjacent operations and writing work related to our external artifacts and Anthropic's RSP Minimum qualifications - Demonstrated technical writing ability: can take dense, jargon-heavy source

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 high-energy, results-driven Field Marketing Managers to own and scale our field marketing strategy across North America in various customer and partner segments - Startups, Enterprise, Partners, etc. In this role, you will be the driving force behind regional events and programs that build pipelines and accelerate revenue through in-person and virtual experiences. We are seeking self-starters who thrive in a fast-paced environment, can operate independently with minimal oversight, and have a proven track record of building and executing impactful field programs that move the needle for sales. You will be responsible for the full program lifecycle — from strategy and sales alignment through execution and pipeline attribution. Key responsibilities Field Event Strategy & Execution - Own the end-to-end strategy, planning, and execution of field events across North America — including executive dinners, roundtables, workshops, regional conferences, and roadshows - Build and manage a regional field marketing calendar in close coordination with sales leadership and demand generation - Identify and prioritize the markets, accounts, and formats that will have the greatest impact on pipeline and deal acceleration - Manage sponsorships, venue relationships, speakers, and third-party event investments end to end Pipeline Generation & Accountability - Drive measurable pipeline and revenue impact from every program — own pipeline targets tied to field marketing in North America - Develop pre-event, day-of, and post-event engagement strategies that maximize registration-to-attendance conversion and sales follow-up - Work hand-in-hand with sales and BDR teams to build targeted invite lists and ensure strong attendance from priority accounts - Track and report on program ROI, pipeline sourced and influenced, and attendee engagement metrics Cross-Functional Collaboration - Serve as the primary field marketing point of contact for North America sales leadership, ensuring programs align with territory plans and revenue goals - Coordinate with demand generation, content, product marketing, and brand teams to create compelling event collateral, messaging, and follow-up assets - Bring field insights back to the broader marketing team to inform campaign strategy and messaging Operational Excellence - Manage field marketing budgets with a bias toward efficiency and measurable outcomes - Maintain project plans, timelines, vendor relationships, and logistics with high attention to detail - Build scalable, repeatable playbooks for field programs that can be replicated across regions and segments Minimum qualifications - A proven track record of driving pipeline through field programs — you think in terms of pipeline an

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 Global Workplace & Real Estate team is delivering a rapidly expanding global portfolio — including full-building offices at the scale of ~450,000 SF that combine commercial kitchens, executive briefing centers and event space, high-end amenities, and the elevated power, cooling, and security infrastructure our work requires. We're hiring a Real Estate Construction Manager to lead the technical delivery of these projects from pre-construction through closeout and to serve as our primary technical counterpart to general contractors, design teams, and specialty vendors. This is a hands-on construction leadership role, not a design role. You will own how our projects get built: delivery method and contracting strategy, GC selection and oversight, MEP and specialty-systems coordination, cost and schedule control, and commissioning. Executing the design direction is set by the Global Head of Real Estate & Workplace and our architects. You will also lead and develop a team of project managers delivering across the global portfolio. This role reports to the Global Head of Real Estate & Workplace. Key responsibilities Pre-construction & technical delivery - Lead pre-construction on complex buildouts: constructibility and design/drawing reviews, MEP and structural coordination, estimating support, value engineering, and development of the GMP or bid package. - Recommend and own the delivery method and contracting strategy for each project (e.g., GMP, lump sum, CM-at-risk, design-assist), matching the approach to scope, schedule, and risk. - Read and interpret architectural, structural, and MEP drawings and specifications; surface gaps, conflicts, and risk before they reach the field. - Coordinate technically demanding scopes — commercial kitchens (Type I hoods, make-up air, grease and UL300 fire-suppression systems, utility upsizing), high-performance AV and acoustics for executive and event spaces, server/IDF rooms with redundant power and supplemental cooling, elevated power density, and integrated physical security. - Manage permitting and inspections with authorities having jurisdiction across multiple markets and labor environments. Construction execution, quality & closeout - Oversee construction from mobilization through closeout across multiple concurrent projects, holding general contractors accountable to schedule, budget, safety, and quality. - Run the technical processes that keep a job on track: RFIs, submittals and shop drawings, ASIs, and BIM/clash coordination across trades; lead owner-architect-contractor and trade-coordination meetings. - Conduct site visits to monitor progress, safety, and quality control; enforce inspection protocols and punch-list management. - Drive commissioning and closeout — systems commissioning (including kitchen exhaust/MUA balancing, BM

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 Technical Evangelist on the Startups team, you'll be the face of Anthropic in the startup ecosystem, driving awareness and activation among founders and their technical teams by showing them exactly what's possible with Claude and how to build it. Your focus is the startup developer community: getting builders from first API call to production, and turning early curiosity into committed platform adoption. This role sits at the intersection of technical depth and ecosystem development. Unlike a traditional DevRel or community role, this is built for someone who has shipped products, lived the early-stage grind, and can speak to a technical co-founder as a peer. Someone who builds live demos and writes real code, not just talks about what Claude can do. Your primary mandate is inspiring adoption across the startup funnel, turning ecosystem touchpoints into active, building developers on Anthropic's platform. You'll work closely with the Startups GTM team to convert relationships with VCs, accelerators, and founder communities into developers who are genuinely building. Key Responsibilities Drive Developer Adoption Through Hands-On Technical Activation - Lead live, hands-on developer sessions at ecosystem events that take startup founders from first API call to committed platform adoption — building in the room, not just presenting slides - Design and run build-a-thons, technical office hours, and workshops at VC and accelerator partner events that activate developers against their real use cases - Develop a repeatable playbook for turning ecosystem touchpoints into measurable developer sign-ups and active usage - Partner closely with the Startups GTM team to create clean handoffs from relationship → activation → retention Build Technical Content That Founders Actually Use - Create production-quality technical resources and products — working code samples, reference architectures, tutorial repos, and blog posts — that help a 2-person team ship with Claude in under a week - Build live demos and prototypes that showcase Claude's real capabilities for common startup use cases, not marketing-grade toy examples - Partner with the Product team to stay current on platform capabilities and ensure content reflects what's actually differentiated about Claude Own Developer Programming at Startup Events - Lead the technical track at Anthropic's builder summits and global startup activations - Design creative sessions that move developers from curious to building within a single event — with a bias toward live coding over slide decks - Identify and build relationships with key technical communities — open-source contributors, developer platforms, and accelerator cohorts — to grow Anthropic's developer mindshare - Be a trusted, credible technical resource in the startup ecosystem that founders come to for advice Partner Across GTM a

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the RL Teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.6 and Opus 4.6. Our work spans several key areas: - Developing systems that enable models to use computers effectively - Advancing code generation through reinforcement learning - Pioneering fundamental RL research for large language models - Building scalable RL infrastructure and training methodologies - Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to safely write correct, fast code for accelerators. You'll need to know accelerator performance well to turn it into tasks and signals models can learn from. Specifically, you will: - Invent, design and implement RL environments and evaluations. - Conduct experiments and shape our research roadmap. - Deliver your work into training runs. - Collaborate with other researchers, engineers, and performance engineering specialists across and outside Anthropic. You may be a good fit if you: - Have expertise with accelerators (CUDA, ROCm, Triton, Pallas), ML framework programming (JAX or PyTorch). - Have worked across the stack – kernels, model code, distributed systems. - Know how to balance research exploration with engineering implementation. - Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have: - Experience with reinforcement learning. - Experience porting ML workloads between different types of accelerators. - Familiarity with LLM training methodologies. The annual compensation range for this role is listed below. For sales roles, the range provided is th

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 Technical Program Manager for Product, you'll drive the programs that bring Anthropic’s AI capabilities to the world. You’ll work closely with research teams to understand new model capabilities, then orchestrate across engineering, product, infrastructure, and go-to-market teams to ensure we launch reliably and at pace. This role is essential in orchestrating the cross-functional effort required to launch successfully as Anthropic continues to scale. This role offers unique challenges in coordinating high-stakes technical programs while maintaining the quality and reliability our customers expect. This position requires deep technical fluency, the ability to earn trust with researchers and engineers, and a talent for driving alignment across teams with different priorities and working styles. Responsibilities - Lead end-to-end program management for model and product launches, coordinating between research, engineering, product, infrastructure, and partnership teams - Drive cross-functional alignment and decision-making across workstreams, ensuring teams are unblocked and launches stay on track - Partner closely with Research PMs and engineering leads to sequence work, manage dependencies, and navigate technical tradeoffs - Track and communicate program status, risks, and dependencies to leadership and stakeholders - Build strong relationships with technical stakeholders, earning trust through deep engagement with the details - Coordinate with research teams to understand upcoming model capabilities and prepare launch plans accordingly - Navigate tradeoffs between speed, quality, and scope, helping teams make informed decisions under pressure - Develop and improve launch processes, playbooks, and operational frameworks that scale with our growing complexity - Create and maintain documentation of launch processes, decision logs, and cross-functional dependencies You may be a good fit if you - Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs - Possess deep technical knowledge that allows you to engage meaningfully with ML researchers and engineers - Have experience managing programs with significant external dependencies and multiple stakeholder groups - Excel at translating between technical teams and stakeholders, making complex tradeoffs understandable - Can thrive in ambiguous situations, bringing structure to complex technical challenges - Have strong organizational skills and can manage multiple parallel workstreams effectively - Are comfortable operating at a fast pace where priorities shift and new challenges emerge quickly - Have excellent written and verbal communication skills, with the ability to influence without authority - Build trust quickly and maintain strong relationships even under pressure - Are passionate about Anthropic's miss

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You'll partner with Developer Productivity engineering leadership to define what "developer productivity" means in an AI-first org and to set the strategy for how Anthropic measures, understands, and improves it. This is a space where the playbook doesn't exist yet: AI-assisted development is reshaping how engineers work faster than anyone can measure, and last quarter's answer is already suspect. You'll decide which questions are worth asking, build the evidence to answer them, and stay ready to revise when the ground shifts again. You'll own the data strategy end-to-end: which metrics earn the org's trust, which investments to push for, which assumptions to challenge — including your own. The space rewards people who hold conclusions loosely, instrument early, and update fast when the data disagrees with the narrative. This role sits at the intersection of data science, developer experience, and frontier AI, with Anthropic's own teams as your users. Key responsibilities - Lead ambiguous, high-stakes investigations where the question isn't yet well-formed — from "is Claude making engineers faster?" to "what does 'faster' even mean here?" - Treat findings as provisional in a space that changes month to month. Bias toward instrumenting first, collecting evidence broadly, and revising the team's priors as the picture sharpens - Partner with Developer Productivity engineering leadership to set the team's measurement and research agenda — what to study, what to build, what to stop - Define the metrics framework for developer productivity in an AI-augmented org, and drive its adoption as the basis for tooling and infrastructure investment decisions - Design and run experiments on internal tooling and workflow changes; build the causal evidence base for what actually moves productivity - Influence engineering, infrastructure, and product leadership with data. Push back when the data doesn't support the prevailing narrative, and say so plainly when it doesn't support yours either <li class="font-claude-response-body whitespace-normal break-words pl-2" data-source

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 an experienced Corporate Legal Specialist to join Anthropic's Corporate Legal team. In this role, you will be a key partner to our team as well as cross-functional partners, supporting entity and board management, governance, and corporate transactions across Anthropic's growing portfolio of U.S. and international entities. This role is well-suited for someone who thrives in a fast-moving, high volume environment; enjoys building and developing procedures and processes; and is comfortable navigating the complexity of a rapidly scaling company. You will work closely with colleagues across Legal, Finance, Tax, People, and external counsel to ensure Anthropic's corporate records, filings, and governance practices are accurate, comprehensive, timely, and audit-ready. Responsibilities - Manage the full lifecycle of U.S. entity administration, including formations, qualifications, dissolutions, annual reports, assist with franchise tax filings, and obtain certificates of good standing, certified copies and coordinate notarizations and apostilles. - Maintain accurate and up-to-date corporate records for Anthropic PBC and its subsidiaries, including minute books, stock ledgers, org. charts, officer/director lists, and entity management databases. - Support board and shareholder governance matters, including organizing directors, officers and/or authorized signatories’ appointments and resignations, preparing board and shareholder meeting materials, drafting resolutions, written consents, secretary's certificates, and incumbency certificates. - Assist with new entity incorporations and structuring, including domestic and international subsidiary formations and post-incorporation operational matters (i.e. opening of bank accounts, obtaining tax registrations, injection of capitalizations, etc.), in coordination with outside counsel and cross functional teams. Also, will help with entity dissolutions, mergers, and post-integration of acquired entities. - Support Anthropic's international entities with board and shareholder meetings, corporate maintenance, local filings, KYC requests, apostilles, legalizations, and cross-border documentation. - Coordinate signatory authority, powers of attorney, and corporate approvals for commercial, financing, real estate, and employment matters. - Respond to diligence requests in connection with financings, acquisitions, audits, commercial transactions, and regulatory inquiries. - Be able to assist with in-house notarizations (if licensed as a State of California Notary Public). - Own and continuously improve entity management tools, workflows, and internal knowledge resources; help build scal

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 research organization works across the full model development lifecycle, from pre-training and post-training to alignment, interpretability, and safety, each operating at the frontier of AI development. As a Technical Program Manager for Research, you'll define and build the programs that research teams need most. You'll move across research areas like compute, evals, RL environments, and emerging research initiatives, going deep enough in each to understand how researchers work and what they need. You'll identify where the biggest opportunities for impact lie, find the highest-leverage gaps, and build the programs, processes, and tooling that allow researchers to focus on research. This is a 0-to-1 role: you'll explore new domains as priorities shift, determine what each one needs, and create lasting impact where none existed before. Note: This role may require responding to incidents on short-notice, including on weekends. Responsibilities - Embed deeply within a research domain to understand the technical landscape, build trust with researchers and technical leaders, and identify the highest-leverage problems to solve, knowing the surface area will shift over time as research priorities evolve - Move fluidly across research areas like compute, evals, RL environments, and emerging research initiatives, picking up new domains quickly and getting to depth fast - Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams, often without established playbooks or precedent - Establish processes and frameworks that bring structure to unstructured research environments without slowing researchers down - Lead efforts like large-scale compute resource planning, including allocation, efficiency, and prioritization across research and production workstreams - Drive eval readiness for model launches by standardizing results, shaping eval plans early, improving tooling, and ensuring honest, transparent reporting across research, product, and marketing - Own execution and operational health of RL environments across major training runs, coordinating cross-team trade-offs and feeding insights back into roadmap planning - Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations - Act as the connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution You May Be a Good Fit If You - Have a background in ML research or engineering with several years of experience building technical programs from scratch, ideally with hands-on exposure to training, evaluation, or large-scale distributed systems - Are a fast learner who can ramp on unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers - Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments - Have a track record of operational ownership of c

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. As the EMEA AE Lead, Beneficial Deployments at Anthropic, you'll build and lead a foundational sales team driving Claude adoption across mission-driven organisations in Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market. This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy. Our team and verticals are evolving rapidly—the ideal candidate thrives in ambiguity, is energised by building from scratch, and can flex across changing priorities as we learn what works. The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously. Role Focus This role will lead EMEA sales efforts across Beneficial Deployments verticals, which currently include: - Nonprofits & Foundations: INGOs, charitable trusts, foundations, and social enterprises across Europe, Middle East, and Africa. Navigate federated organisational structures, EU/UK regulatory requirements, and diverse funding mechanisms. - Education: Educational institutions, EdTech organisations, and learning-focused nonprofits working to expand access and improve outcomes. - Emerging Markets: Partnerships in Africa and India with organisations driving social impact at scale. Note: Verticals and priorities may evolve as the team learns and grows. We're looking for someone comfortable with a shifting remit who can help shape what this role becomes. Responsibilities - Win new business and drive revenue for Anthropic within EMEA mission-driven organisations. Navigate complex multi-stakeholder ecosystems to reach decision-makers, educate them about Claude, and help them succeed with Anthropic - Build and lead a regional team supporting EMEA customers, both inbound and outbound. Establish team structure, hiring priorities, and operational processes for scaling—while rolling up your sleeves to close deals yourself - Design and execute innovative sales strategies tailored to diverse EMEA contexts: nonprofit budget cycles and grant timelines, foundation giving patterns, and varying regulatory environments across jurisdictions - Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments to build consensus - Develop and maintain relationships with key EMEA ecosystem players: nonprofit networks (Bond,

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 Technical Program Manager to support our critical cloud deployments. In this role you will be an execution owner, driving coordination and collaboration across multiple engineering teams. You will also support the collaboration and technical execution between our internal engineering teams and our major cloud partners including Amazon Bedrock, Google Vertex, and Microsoft Foundry. Your primary focus will be on ensuring tight coordination on engineering deliverables both within our internal teams and between our partner teams, enabling repeatable and efficient product development and launch pipelines for our AI models on third-party platforms. You will be responsible for aligning a range of business and technical stakeholders to drive execution of technical roadmaps, with a particular emphasis on optimizing our presence and performance. This position offers the opportunity to make a significant impact on Anthropic's growth and success in the cloud AI market, while working at the forefront of AI development and innovation. Responsibilities - Partner with engineering leaders to define, scope, and sequence major technical initiatives for cloud partnerships and AI model deployment, and own the plans, timelines, and resourcing to land them. - Own launch readiness for Claude models on partner cloud platforms: checklist, blocker tracking, joint go/no-go with the partner, and post-launch stability follow-through. - Act as the primary technical interface to cloud partner engineering orgs — owning the relationship, the shared roadmap, and day-to-day coordination on deployment, capacity, and incidents. - Drive cross-functional alignment across internal engineering, product, and go-to-market teams to land joint deliverables with the partner. - Provide clear and transparent reporting on program status, issues, and risks to executives and stakeholders. You may be a good fit if you - Have several years of experience in technical program management, with a track record of successfully delivering complex technical programs, preferably involving cloud platforms and AI technologies. - Have strong understanding of cloud computing architectures, AI/ML deployment, and integration challenges. - Have exceptional interpersonal and communication skills, enabling you to influence without authority and build cross-organizational support. - Have a high threshold for navigating ambiguity and ability to balance strategic priorities with rapid, high-quality execution. - Thrive in fast-paced, scaling environments with the ability to bring order to chaos. - Are passionate about Anthropic's mission and committed to ensuring AI is developed safely. Strong candidates may also have - Direct experience with a hyperscaler's managed AI platform — Amazon Bedrock, Google Vertex AI, or Azure AI Foundry — including how partners list, launch, and onboard customers on it. - Background in ML inference, model serving i

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 team is responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. As the Incident Response Manager, you'll own the operational backbone of how Safeguards responds when things need attention fast. You'll run our on-call program, drive the automation that lets a small team cover a growing surface area, and manage the sensitive cross-functional escalations that cut across Policy, Legal, Safeguards, Product, and Comms. This role calls for someone who has managed scaled escalations and can build durable processes that hold up in fast-moving moments. It requires discernment, close coordination with cross-functional partners during high-stakes situations, and the ability to translate learnings from incidents into improvements to our safety systems. Key responsibilities On-call program ownership - Own the Enforcement On-Call program end-to-end: rotations, coverage models, and escalation paths - Establish and maintain on-call documentation, runbooks, and SOPs so that anyone stepping into the rotation has what they need to act quickly and consistently - Triage tooling issues affecting on-call operations and drive them to resolution with engineering partners - Report out regularly on inbound volume, response metrics, trend lines, and staffing needs to inform long-term investment Cross-functional escalations - Serve as the primary point of contact for sensitive enforcement escalations that require cross-functional coordination across Policy, Legal, Safeguards, Product, and Comms - Absorb information from multiple inputs quickly, frame the decision cleanly, and communicate clear updates, recommendations, and trade-offs to both operational and executive audiences - Drive processes that keep teams aligned and moving during fast-changing situations, including sensitive investigations, product mitigations, and coordinated responses - Manage escalation pathways to law enforcement and NCMEC based on established referral criteria, and track referral volume and trends over time Automation & program maturity - Identify the right repetitive operational work in the on-call and escalations pipeline and partner with engineering to automate it - Expand and mature our rapid response toolkit through hands-on investment in new tools, playbook development, and team adoption - Build dashboards and reporting that give the team and leadership a clear view of enforcement operational health - Continuously improve documentation, quality, and consistency as the program scales Minimum qualifications - <p&gt

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 team is responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. As a Safeguards Enforcement Analyst focused on Safety Evaluations, you'll play a central role in ensuring our models meet safety and policy standards before and after launch. You'll run and monitor evaluations, drive mitigations when issues surface, coordinate the creation of new evals, and help build the processes and documentation that allow the team to scale this work over time. This role requires someone who is detail-oriented, comfortable navigating ambiguity, and capable of coordinating across teams to break new ground and drive work to completion. This work is deeply cross-functional — you'll partner closely with policy experts, Safeguards engineering teams, and many other stakeholders throughout the organization to ensure our evaluations are comprehensive and current, and that findings translate into meaningful improvements to model behavior. Responsibilities - Support model launch readiness by running evaluations, monitoring and interpreting results, and surfacing regressions or unexpected behavior changes to relevant stakeholders - Partner closely with policy and domain experts throughout the evaluation lifecycle — from identifying risks and scoping the right evaluation approach, to coordinating creation of new evals and ensuring existing ones remain current with evolving policies, threat vectors, and model capabilities - Work with cross-functional stakeholders to help manage evaluation outcomes, including interpreting results and driving mitigations where needed - Think strategically about eval quality to build processes and eval paradigms that keep evaluations unsaturated, high-signal, and insightful as models improve - Build out processes and frameworks for creating product-specific evaluations as Anthropic's product surface area expands - Help design and scope tooling improvements that accommodate evolving eval needs and expand self-serve eval creation and iteration for non-technical users - Write and maintain rigorous documentation for evaluation creation, execution, and interpretation as the team builds out eval tooling and processes You may be a good fit if you: - Have experience in trust and safety, content operations, policy enforcement, or a related operational role at a technology company - Thrive in ambiguous, fast-moving environments — you're energized rather than frustrated when the path forward isn't clearly defined and you need to figure it out as you go - Have experience building processes, workflows, or programs from scratch (zero-to-one work), not just maintaining existing ones - Have strong program management instincts, naturally creating structure around complex, multi-stakeholder efforts by tracking timelines, dependencies, and deliverables to keep work on track - Are eager to expand your technical toolkit, including adopting internal tools and AI-assisted workflows (e.g., Claude Code) to accelerate your work - Can manage multiple concurrent workstreams across different domain areas without losing track of details — strong prioritization and cont

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. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pretraining team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: - Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development - Independently lead small research projects while collaborating with team members on larger initiatives - Design, run, and analyze scientific experiments to advance our understanding of large language models - Optimize and scale our training infrastructure to improve efficiency and reliability - Develop and improve dev tooling to enhance team productivity - Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: - Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field - Strong software engineering skills with a proven track record of building complex systems - Expertise in Python and experience with deep learning frameworks (PyTorch preferred) - Familiarity with large-scale machine learning, particularly in the context of language models - Ability to balance research goals with practical engineering constraints - Strong problem-solving skills and a results-oriented mindset - Excellent communication skills and ability to work in a collaborative environment - Care about the societal impacts of your work Preferred Experience: - Work on high-performance, large-scale ML systems - Familiarity with GPUs, Kubernetes, and OS internals - Experience with language modeling using transformer architectures - Knowledge of reinforcement learning techniques - Background in large-scale ETL processes You'll thrive in this role if you: - Have significant software engineering experience - Are results-oriented with a bias towards flexibility and impact - Willingly take on tasks outside your job description to support the team - Enjoy pair programming and collaborative work &l

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 Threat Intelligence Engineer to join our Threat Intelligence team. In this role, you will build the infrastructure that powers our threat discovery capabilities—integrating external data sources, developing detection systems for automated lead generation, and creating internal tooling that scales our investigators' impact. This is a foundational engineering role on a small, high-impact team. You will take projects from proof-of-concept to production, work closely with investigators to understand their needs, and help scale what may become a multi-person collections function. Responsibilities: - Build automated detection systems that use disparate signals to identify abusive behavior. - Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes - Develop and maintain YARA rule infrastructure, including tools for writing, validating, and testing rules against real data - Create integrations with external threat intelligence platforms (e.g. VirusTotal, Censys, Urlscan) via MCP servers to enable multi-source correlation during investigations - Build data pipelines that ingest intelligence from RSS feeds, CTI news sources, and partner sharing, using Claude to extract TTPs and generate targeted hunting queries - Develop behavioral analytics capabilities using DBT-based frameworks and create searchable audit logging infrastructure - Establish feedback loops with investigators to tune detection systems and reduce false positives - Scrape and normalize data from external sources to feed threat detection and enrichment workflows You may be a good fit if you: - Have strong coding proficiency in Python and SQL for building detection logic, data pipelines, and automation - Have experience with data pipeline orchestration tools (Airflow, DBT, or similar) - Have familiarity with threat intelligence concepts including IOCs, YARA rules, and threat correlation techniques - Have experience integrating external APIs and building data ingestion systems - Can translate investigator needs and workflows into technical requirements - Are comfortable building v0 systems and iterating based on user feedback - Have strong communication skills for working closely with non-engineering stakeholders Strong candidates may also have: - Experience with threat intelligence sharing frameworks (e.g. MISP, STIX/TAXII) - Background in cyber threat intelligence, security operations, or abuse detection - Experience building MCP servers or similar tool integrations for AI systems - Familiarity with web scraping and data extraction at scale - Experience with behavioral analytics or anomaly detection systems - Understanding of LLM capabilities and how to leverage them for automation - A Top Secret Clearance &l

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team We are seeking passionate Research Scientists and Engineers to join our growing Pre-training team in Zurich. We are involved in developing the next generation of large language models. The team primarily focuses on multimodal capabilities: giving LLMs the ability to understand and interact with modalities other than text. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Responsibilities In this role you will interact with many parts of the engineering and research stacks. - Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development - Independently lead small research projects while collaborating with team members on larger initiatives - Design, run, and analyze scientific experiments to advance our understanding of large language models - Optimize and scale our training infrastructure to improve efficiency and reliability - Develop and improve dev tooling to enhance team productivity - Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications & Experience We encourage you to apply even if you do not believe you meet every single criterion. Because we focus on so many areas, the team is looking for both experienced engineers and strong researchers, and encourage anyone along the researcher/engineer spectrum to apply. - Degree (BA required, MS or PhD preferred) in Computer Science, Machine Learning, or a related field - Strong software engineering skills with a proven track record of building complex systems - Expertise in Python and deep learning frameworks - Have worked on high-performance, large-scale ML systems, particularly in the context of language modeling - Familiarity with ML Accelerators, Kubernetes, and large-scale data processing - Strong problem-solving skills and a results-oriented mindset - Excellent communication skills and ability to work in a collaborative environment You'll thrive in this role if you - Have significant software engineering experience - Are able to balance research goals with practical engineering constraints - Are happy to take on tasks outside your job description to support the team - Enjoy pair programming and collaborative work - Are eager to learn more about machine learning research &l

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We are hiring Research Associates: early-career bench scientists who will join a small team to help establish our biology research program. This is an entry-level role, great for individuals who have done some research during an undergrad or masters program and may be considering pursuing a PhD in Life Sciences in the future. You'll work directly alongside senior scientists, executing and troubleshooting experiments at the bench while learning advanced techniques in a fast-moving, highly collaborative environment. We value curiosity, careful hands, and the willingness to take ownership of a result. Our scientists are eager to teach; we're hiring for motivation and trajectory as much as for existing skill. This is a fully hands-on bench role — while familiarity with computational biology and bioinformatics is welcome, the role does not involve AI/ML model development. Key responsibilities - Execute molecular biology and biochemistry experiments at the bench under the direction of senior scientists - Maintain meticulous, reproducible records and contribute to shared protocols - Troubleshoot experiments, propose adjustments, and present results clearly in group meetings - Maintain mammalian and bacterial cell lines, materials stocks, and reagent inventories - Learn and adopt new techniques rapidly as projects evolve, with training provided Minimum qualifications - Have hands-on research experience in molecular biology, biochemistry, or a closely related field - Are proficient with foundational molecular biology techniques: PCR, gel electrophoresis, molecular cloning, and plasmid preparation &l

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. Responsibilities - Become an expert in all Anthropic products - Respond to user support cases with a variety of complexity, from questions for individuals to complex API debugging for large businesses - Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace - Manage on-call tasks for high-urgency user issues with extreme ownership - Prioritize critically and comfortably adapt to an ever-evolving product landscape - Operate in ambiguity, making informed decisions even in never-before-seen situations - Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale - Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates - Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products Minimum qualifications - Several years of relevant experience in technical product support in a high growth tech company, including API debugging, preferably in a second tier, escalated, or priority support team - Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease - Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.) - Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution - Have crisp but kind written communication skills and a deep care for the details - Enjoy helping others learn about new features and complex concepts - Experience troubleshooting SSO, SAML, and OAuth authentication flows - Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward - Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work <li clas

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 investing in shared platform capabilities that power Claude across our consumer and developer products: the common foundation that Claude, Cowork, Claude Code, and future surfaces are built on. We're hiring a Technical Program Manager to be the connective tissue for this effort, someone who ensures we're building the platform the rest of Anthropic's products are built on, and that product teams actually get leverage from it. This is not a single-team TPM role. You'll work across the platform engineering teams and every product team that consumes the platform, driving one cohesive roadmap rather than a collection of disconnected workstreams. Success looks like products at Anthropic shipping more easily, faster, and more reliably because they're built on a common foundation, with developer velocity increasing measurably across the company, not just within one team. Responsibilities - Own the cross-Apps platform roadmap end to end: sequencing, dependencies, and tradeoffs across platform teams and the apps teams that depend on them - Drive alignment between platform engineering and apps teams so platform investments map to real consumer needs and adoption actually happens (leverage only exists if teams build on the platform) - Identify duplication across surfaces and convert it into shared platform capabilities - Establish the operating rhythm: planning, status, escalation paths, and launch coordination across orgs - Create program documentation including roadmaps, status reports, risk assessments, and communication plans - Facilitate technical decision-making by bringing together stakeholders, driving consensus, and ensuring timely resolution of blocking issues You may be a good fit if you - Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs - Have experience with platform engineering efforts (shared services, developer platforms, or common capabilities consumed by multiple product teams) and can engage meaningfully with the engineers building them - Have driven platform adoption across consuming teams, where success depended on other teams choosing to build on what you shipped - Have experience coordinating across multiple engineering teams and organizations simultaneously - Are highly organized and can manage multiple parallel workstreams effectively across distributed teams - Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations - Have excellent written and verbal communication skills, with the ability to influence without authority - Are passionate about Anthropic's mission and interested in the challenges of bringing AI capabilities to users safely and reliably The annual compensation range for this role is listed below.

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 services change constantly. Application code, infrastructure, and runtime configuration all move to production many times a day. Our Safe Change team builds the continuous-deployment and feature-flagging systems that make those changes safe and reliable. The continuous-deployment platform moves a change through staged promotion, runs health checks at each phase of deployment, and gives service owners the levers to respond the moment something regresses. We provide the tools to modify runtime behavior, roll out configuration safely, and test changes. This team provides the paved path that lets everyone at Anthropic ship frequently without trading away reliability or security. We're looking for an engineering manager to lead this team. The continuous-deployment platform is already widely adopted across Anthropic, and the mandate is expanding quickly: bringing configuration changes onto the same safe path as code, supporting additional deployment surfaces, building progressive rollouts, and establishing the golden path for safe deployments that every team across the company will rely on. You'll lead a team building infrastructure that nearly every other engineer at Anthropic depends on, and you'll partner closely with product, inference, security, and infrastructure teams to make deployment safety a standard property of the platform rather than something each team reinvents. Key responsibilities - Lead and grow a team of engineers building Anthropic's continuous-deployment, configuration, and feature-flagging platforms, owning planning, execution, and delivery against key milestones - Set technical direction for the safe deployment of code, infrastructure, and configuration across Anthropic's services - Partner with product, inference, security, and infrastructure teams to migrate services onto the paved path and make safe deployment the default - Drive the roadmap for progressive rollouts, health-check automation, first-class configuration deployment, and expansion to new deployment surfaces - Define and track the metrics that measure deployment safety and speed and hold the team accountable to them - Create clarity for the team and stakeholders in an ambiguous, fast-moving environment where the platform is still being built out - Take an inclusive, equitable approach to hiring, coaching, and career development, and sustain a high-performing, healthy team - Represent the team across the engineering organization and contribute to engineering-wide initiatives as a member of Anthropic's engineering management group Minimum qualifications - Experience managing and growing a team of software engineers - A hands-on software engineering background as an individual contributor prior to moving into management - Experience building or operating backend, distributed, or infrastructure systems in production - <

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 Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship for claude.ai , Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. We're looking for an experienced engineering leader to lead a team of Connectivity engineers based in London. The Connectivity team spans San Francisco and London, and you'll work closely with engineering leadership and partner teams in San Francisco to set direction and deliver together across both sites. You'll lead a team working on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that stays up when partner servers don't. Key responsibilities - Lead a team of engineers building the connectivity infrastructure that powers tool use across Anthropic's product suite, from the MCP proxy to OAuth and token management - Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team - Coach, mentor, and provide career development guidance to your direct reports, helping them set and achieve their professional goals - Partner with Connectivity engineering leadership in San Francisco, along with product, security, and platform teams, to define the team's roadmap and create clarity for the team in an ambiguous and evolving environment - Drive cross-team and cross-org alignment to ship work that spans claude.ai , Claude Code, Cowork, and the API, working effectively with teams primarily based in the US - Establish and drive adoption of engineering best practices within your team, including the operational rigor (on-call, incident response, postmortems) required for infrastructure that other teams and external partners depend on - Contribute to engineering-wide initiatives as a member of Anthropic's engineering management team Minimum qualifications - Experience managing software engineering teams, including hiring, coaching, and performance management - A technical background in backend or platform engineering, with the depth to guide architectural decisions and engage credibly in technical discussions - Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale - Excellent communication skills, with the ability to build consensus across teams and ti

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 teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: - Developing systems that enable models to use computers effectively - Advancing code generation through reinforcement learning - Pioneering fundamental RL research for large language models - Building scalable RL infrastructure and training methodologies - Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative projects: - Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. - Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. - Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. - Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You may be a good fit if you: - Are proficient in Python and async/concurrent programming with frameworks like Trio - Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) - Have industry experience in machine learning research - Can balance research exploration with engineering implementation&lt

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. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: - Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development - Independently lead small research projects while collaborating with team members on larger initiatives - Design, run, and analyze scientific experiments to advance our understanding of large language models - Optimize and scale our training infrastructure to improve efficiency and reliability - Develop and improve dev tooling to enhance team productivity - Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: - Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field - Strong software engineering skills with a proven track record of building complex systems - Expertise in Python and experience with deep learning frameworks (PyTorch preferred) - Familiarity with large-scale machine learning, particularly in the context of language models - Ability to balance research goals with practical engineering constraints - Strong problem-solving skills and a results-oriented mindset - Excellent communication skills and ability to work in a collaborative environment - Care about the societal impacts of your work Preferred Experience: - Work on high-performance, large-scale ML systems - Familiarity with GPUs, Kubernetes, and OS internals - Experience with language modeling using transformer architectures - Knowledge of reinforcement learning techniques - Background in large-scale ETL processes You'll thrive in this role if you: - Have significant software engineering experience - Are results-oriented with a bias towards flexibility and impact - Willingly take on tasks outside your job description to support the team - Enjoy pair programming and collaborative work - Are eager to learn more about machine learning research - Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects - Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research - View research and engineering as

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. You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important. Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year. We may also put up separate, team-specific job postings . In those cases, the teams will give preference to candidates who apply to the team-specific postings, so if you are interested in a specific team please make sure to check for team-specific job postings! You may be a good fit if you: - Have significant software engineering experience - Are results-oriented, with a bias towards flexibility and impact - Pick up slack, even if it goes outside your job description - Enjoy pair programming (we love to pair!) - Want to learn more about machine learning research - Care about the societal impacts of your work Strong candidates may also have experience with: - High performance, large-scale ML systems - GPUs, Kubernetes, Pytorch, or OS internals - Language modeling with transformers - Reinforcement learning - Large-scale ETL Representative projects: - Optimizing the throughput of a new attention mechanism - Comparing the compute efficiency of two Transformer variants - Making a Wikipedia dataset in a format models can easily consume - Scaling a distributed training job to thousands of GPUs - Writing a design doc for fault tolerance strategies - Creating an interactive visualization of attention between tokens in a language model 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

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 Finance Analytics & Business Intelligence team is hiring a senior individual contributor to own how we measure the value of our models and our position in the market. These are open questions without an established playbook: how much value do our models deliver per dollar and per token, how is that changing with every launch, how do we compare to the rest of the frontier? You’ll own how Finance quantifies relative model value and market position: maturing our cross-product benchmark suite, building task-cost and price-elasticity estimates that inform live pricing and packaging decisions, sourcing and running capability and market analysis around every model launch, and standing up forecasting on third-party and survey data. The work is open-ended and technical, and you’ll operate as an analytical lead, partnering closely with Product Finance and our model performance Data Science teams. Key responsibilities - Build the relative-value measurement system: evolve our cross-product benchmark into a durable, trusted read on model and product value, spanning coding, agentic, and product-shaped tasks - Inform pricing and packaging: construct task-cost approximations and price-elasticity estimates across differently priced products, and carry them into decisions - Own launch and market analytics: run analytics around model launches, including capability-based revenue analyses and views of the broader market - Deepen our market understanding: evaluate and integrate external datasets and research to strengthen our read on the market and how it's evolving - Partner with Product Finance: take open-ended pricing, packaging, and positioning questions from vague ask to decision-grade answer - Raise the bar: land narratives in executive forums and uplevel the team’s product-finance analytics practice by example Minimum qualifications - Put shape around ambiguity: you’ve personally defined the measurement approach for questions nobody knew how to answer, without waiting for a fully specified ask - Land narratives with executives: your analyses have changed pricing, product, or competitive decisions, and you can simplify for senior leaders without losing rigor - Stay hands-on at senior scope: you still write the SQL and Python yourself, and you’d rather ship a defensible v1 with honest error bars than wait for perfect data - Are inherently curious: you go one level deeper than asked and are energized by how fast models, products, and the market are moving - Thrive amid shifting priorities: you juggle multiple fast-moving workstreams and stay effective when the plan changes weekly - Work fluently with modern tooling: you’re strong at data visualization,

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will be the finance partner to Anthropic's Enterprise sales team responsible for our largest technology and AI-native customers. In this role, you will be a key partner to our go-to-market teams, providing financial expertise and guidance to support strategic decision-making for a book of business scaling faster than almost any in software history, and you'll sit in the room where segment strategy gets decided. GTM Finance & Strategy sits at the epicenter of Anthropic's go-to-market decisions and you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. You'll be the person segment leaders turn to when they need to know where to invest, how to set targets, and whether a deal makes sense. Key responsibilities - Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials - Own revenue forecasting and target-setting for a consumption-based business: build the models that translate usage dynamics, deal commitments, and model launches into credible plans - Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations - Design and pressure-test sales capacity plans and variable compensation structures as the sales team scales - Deliver clear, decision-ready analysis to executives: what happened, why, and what we should do about it - Build the reporting infrastructure (dashboards, scorecards, self-serve metrics) that lets the business run itself; we work hands-on with data and use Claude to do finance in ways that don't exist anywhere else Minimum qualifications - Experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking - Experience with consumption/usage-based revenue models (cloud infrastructure, API, or usage-priced products) — forecasting, unit economics, and deal structuring - Built operating models that executives actually used to make headcount, target, or investment decisions - Comfort pulling and shaping your own data (SQL or equivalent) and genuine enthusiasm for using AI tools to multiply your output - Ability to bring structure to ambiguous, zero-to-one problems and drive them to a conclusion under tight timelines - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models - Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences - Excitement about working in a fast paced, dynamic environment and adapt well to change - Possess a bias towards action, strong work ethic,

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 Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude are often the most demanding buyers, with rigorous requirements around security, compliance, and control. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for an engineering manager for our Enterprise pillar —the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible. You'll build the foundational systems that large organizations require before they can deploy AI at scale. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. This role sits at the intersection of enterprise product, platform infrastructure, and go-to-market. You'll partner closely with product, design, sales, and customer success to understand what our largest customers need, then translate those requirements into scalable technical solutions that work across Claude.ai , Claude Code, and API. Responsibilities - Lead and develop a team of engineers building out features and foundations that make Claude enterprise-ready at scale - Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response - Partner with engineering teams throughout the company to ensure that the platforms we build are extensible and easy to adopt - Partner with sales and customer success on enterprise deals—understanding requirements, representing engineering in key conversations, and turning what you learn into priorities - Shape the roadmap with product and design, not just execute against it - Drive the compliance and platform-readiness work your customers require, partnering with security and legal - Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team Minimum qualifications - 4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools - Are comfortable executing at a fast pace to meet the expectations of our customers - Are detail-oriented and quality-focused - our customers are using Claude for critical workflows and our product needs to stay robust and reliable - Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations - Are a skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth <

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 Enforcement Analyst focused on Chem & Explosives Harms, you will play a critical role in protecting against the misuse of AI systems for chemical and explosives harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating these risks, investigating potential violations, and help continuously strengthen our safeguards. The work sits at the intersection of chemical and explosives threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm. This role is a fit for someone who understands the dual-use nature of chemistry and explosives technologies well enough to separate the benign from the malicious — and who acts decisively under ambiguity. You will own and continuously improve the enforcement monitoring workflows for this harm area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering matrix partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems from AI-facilitated weapons harm. Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams. Key responsibilities - Enforce Usage Policies with a specific focus on detecting and mitigating potential chemical and explosives risks and harmful use of AI systems. - Take ownership of enforcement monitoring workflows for the chemical and explosives harm area, improving end-to-end detection, investigation, triage, and escalation processes. - Monitor and analyze platform activity to identify emerging patterns related to chemical and explosives threats (within the broader CBRNE landscape) that may require policy updates or enforcement action. - Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface. - Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions. - Proactively surface trends and propose improvements to detection methods and review workflows without waiting to be directed. - Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for policy violations. - Partner with Policy and Threat Intelligence teams to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems. - Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to chemical and explosives policy violations. Minimum qualifications - Hold a degree in a chemistry-related field (e.g., chemistry, chemical engineering, materials science) and/or relevant professional experience in a relate

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 Enforcement Analyst, you will be responsible for reviewing content and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your initial focus will center on reviewing flagged activity related to cyberattacks, malware development, and offensive exploitation; however, this position may later expand to include broader areas of enforcement. Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities - Review flagged content and accounts to make accurate, well-documented enforcement decisions in line with our usage policies - Detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations - Triage and escalate novel, ambiguous, or high-severity cases to appropriate stakeholders - Provide detailed feedback to the Safeguards policy design team on policy gaps surfaced through real enforcement scenarios - Partner with Engineering and Data Science teams by surfacing detection model errors and quality signals from review to improve precision and recall - Maintain high accuracy and consistency standards across review queues - Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions Minimum Qualifications - Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research - Experience performing content review, abuse investigations, or policy enforcement at volume - Proficiency in SQL and/or Python for data analysis and threat detection - Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams - Experience working with generative AI products, including writing effective prompts for content review and enforcement Preferred qualifications - Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company - Experience with large language models and an understanding of how AI technology could be misused for cyber operations - Experience operating within abuse monitoring programs or enforcement review systems - Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space - Experience working with government agencies,

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 Contracts Manager to join our team in Singapore as one of the founding members of our Commercial Legal team in the region. Embedded within our in-region commercial and legal operations, you'll work closely with local in-region counsel and lead counsel to support commercial and technology transactions across the region. We'll rely on you to help review, draft, and negotiate commercial and procurement contracts that support our cutting-edge AI systems. You'll also serve as a key partner in translating global legal strategy into regional execution, including supporting the triage of regional matters, rolling out process improvements and initiatives driven from global headquarters, and running local enablement sessions to keep business teams informed and aligned. As one of our first commercial legal hires in Singapore, you'll help establish how we build and scale the contracting function across Southeast Asia and the wider APAC region, building scalable processes and collaborating across Product, Sales, Finance, Business Operations, Research, and Procurement teams. Key responsibilities - Draft, analyze, negotiate, and complete complex commercial transactions with our enterprise customers, vendors, and strategic partners, including IP licensing agreements - Propose and develop scalable solutions to improve contracting efficiency - Collaborate with business units and legal team members to streamline contract management processes, identify potential risks, and drive continuous improvement in contract handling efficiency - Work cross-functionally with the Product, Sales, Business Operations, Research, and Procurement teams to achieve key business objectives and deliver strategic, business-minded and creative solutions - Partner closely with in-region counsel and lead counsel on day-to-day triage of regional legal matters, ensuring workload is prioritized effectively and seamlessly coordinated between regional and global teams - Drive the regional rollout of process improvements, policy updates, and programs initiated from global headquarters, including planning and facilitating local enablement sessions to keep commercial and cross-functional stakeholders informed and ready to execute - Pitch in across other areas of the legal function — as a small team supporting big things, each of us practices across multiple areas, and we'd love to hear where else your experience or interests could contribute Minimum qualifications - Substantive knowledge of software and SaaS agreements, reseller agreements, services agreements, strategic partnerships, and general commercial contract terms - Ability to independently draft, review, and negotiate complex commercial and procurement contracts - Experience managing the full contract lifecycle for technology transactions, sales organizations, and/or partnerships <s

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. Note: we don't have open Research Manager positions on the Interpretability team at this time. However, we're actively growing our team of Research Engineers and Research Scientists . If you're excited about interpretability research and open to an individual contributor role, we encourage you to apply. About the Interpretability team When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team’s mission is to reverse engineer how trained models work, and Interpretability research is one of Anthropic’s core research bets on AI safety. We believe that a mechanistic understanding is the most robust way to make advanced systems safe. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer". We aim to create a solid scientific foundation for mechanistically understanding neural networks and making them safe (see our vision post ). We have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work which found millions of features in Claude 3.0 Sonnet, one of our production language models, represents progress in this direction. In our most recent work , we developed methods that allow us to build circuits using features and use these circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Claude Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. A few places to learn more about our work and team are this introduction to Interpretability from our research lead, Chris Olah, Stanford CS25 lecture given by Josh Batson, and TWIML AI podcast with E

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 Anthropic Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible. About the Role We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery. As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio. This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally. What You'll Do - Own the civil, structural, and architectural reference design standards for Anthropic's data center portfolio, establishing repeatable design elements deployable across multiple sites and jurisdictions - Lead front-end test fits and site feasibility studies, evaluating structural approaches, site constraints, utility interfaces, and code compliance to inform site selection and design direction - Review and approve CSA deliverables from design-build partners and AE firms at each design stage (SD, DD, CD, IFC), including drawings, structural calculations, specifications, and geotechnical reports - Integrate CSA design with mechanical, electrical, plumbing, fire protection, and IT infrastructure teams to produce coordinated designs that support high-density AI compute and direct liquid-cooling systems - Drive site and campus planning to maximize compute density, optimize construction phasing, and align physical layout with IT and operational requirements - Partner with the construction and delivery team to provide technical oversight during construction, resolve field issues, and support commissioning activities - Evaluate and develop relationships with design partners, structural engineering subconsultants, and prefabrication / modular vendors; define qualification and performance standards <

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 builder-minded Startup Partnerships lead to drive the adoption of Claude within India's dynamic and rapidly scaling startup ecosystem. This is a 0-to-1 opportunity — you'll be designing and executing innovative programs that enable startups to access and build with Claude across India's major tech hubs, from Bengaluru and Mumbai to Delhi-NCR, Hyderabad, and Pune. You will partner directly with leading Indian VCs, accelerators, and top startup customers to scale Anthropic's reach and impact. You'll define how Anthropic engages with one of the world's fastest-growing AI ecosystems and become a trusted AI advisor to founders and the VC community. India has emerged as a major global AI hub — home to a rapidly expanding cohort of AI-native startups, deep engineering talent, and world-class technical founders, and this role will put you at the centre of it. This role is for builders — someone founders see as a peer and trusted technical partner, not a traditional partnerships hire. You'll be hands-on with data, building your own dashboards, and shaping strategy through rigorous analysis. What You'll Do Drive Net New Logo Acquisition Through Developer Enablement - Develop and execute Anthropic's startup GTM strategy for India, identifying and prioritising top AI-native startups and building tiered engagement programmes that balance personalisation with scale. - Build strategic partnerships with leading Indian VCs that drive portfolio engagement. Design and launch strategic programmes with tier-1 VCs, own relationships end-to-end, negotiate partnership terms, and create exclusive benefits for portfolio companies. - Create compelling startup-focused offerings, pricing models, and growth initiatives in partnership with Indian accelerators and entrepreneurial communities - Build and maintain your own analytics infrastructure — design Hex dashboards, write SQL queries, and use data to drive programme optimisation and measure ROI. - Drive cross-functional coordination: Lead internal collaboration across Product, Engineering, Finance, Sales, and Corporate Development to ensure alignment on activation and penetration of accounts across the Indian startup ecosystem. Ecosystem Events & Community Building - In partnership with marketing, design and execute targeted events including builder summits, founder salons, hackathons, and demo days across key Indian tech hubs (Bengaluru, Mumbai, Delhi-NCR, Hyderabad, Pune, Chennai). - Partner with Indian accelerators and incubators to identify and engage the next wave of AI builders. - Build local developer communities around Claude through meetups, technical workshops, and content creation tailored to India's diverse and technically sophisticated builder community. VC & Ecosystem Partner Management &

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 Safeguards Enforcement Analyst on the Child Safety team, you will be responsible for our child safety enforcement workflows, responsible for scaling, maintaining, and continuously improving the systems and processes we use to detect and respond to child sexual abuse material (CSAM) and child sexual exploitation material (CSEM) generated or facilitated through Anthropic's products. This is a deeply operational role. You will serve as the central point of contact for those who conduct content review, managing day-to-day workflows, quality assurance, and escalation processes to ensure reviews are accurate, consistent, and conducted with appropriate support structures in place. You will also work closely with internal Engineering, Policy, and Legal teams to scale detection systems and close enforcement gaps as the threat landscape evolves. This work is essential to Anthropic's mission. Child safety is one of our highest-priority harm areas, and the person in this role will have a direct and meaningful impact on protecting children from AI-facilitated exploitation and abuse. Important context for this role: In this position you will regularly be exposed to and engage with explicit content of a sexual nature involving minors, as well as content that may be violent or psychologically disturbing. Anthropic takes the wellbeing of team members working in this area seriously and provides access to wellness resources and support. Candidates should carefully consider this aspect of the role before applying. Key responsibilities - Own the day-to-day operational management of child safety content review workflows, including task routing, queue management, escalation handling, and SLA monitoring - Serve as the primary point of contact for review partners conducting child safety content review, including onboarding, training, quality assurance, and ongoing relationship management - Design and improve enforcement workflows to scale effectively as volume grows, while maintaining high accuracy and consistency across review decisions - Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for CSAM, CSEM, and related child safety policy violations - Review novel or ambiguous flagged content to drive enforcement decisions and surface policy gaps to the Safeguards policy design team - Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate and consistent enforcement at scale - Keep up to date with emerging AI policy enforcement best practices, evolving legal frameworks, and developments in child safety technology, and use these to inform our workflows - Identify and report trends in misuse patterns to internal stakeholders, including Policy, Legal, and Trust & Safety leadership - Coordinate reporting obligations to relevant external bodies (e.g., NCMEC) in accordance with applicable law and Anthropic policy Minimum qualifications - Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to child safety, CSAM/CSEM, or related child protection harm areas &

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 Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your focus will be driving a number of enforcement areas including access controls and identity verification. You'll own the policy layer of these systems: what we ask users for, when, on what grounds, and what passes. The work sits at the intersection of policy, operations, and regulatory exposure. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities - Set collection policy for identity signals: what we request, in which enforcement states, and what evidence reinstates access - Improve verification program health — accuracy, appeal coverage, and consistency of outcomes - Own access policy for hard cases, including geographic restrictions and reseller arrangements - Run the operational queue for access-control cases alongside contractor support, authoring playbooks and QA'ing scaled review output - Work with Legal, Public Policy, and Privacy stakeholders to keep our approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape - Coordinate enforcement consistency with third-party platform partners - Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows - Stand up graduated enforcement in practice — verification requests, conditional reinstatement, and appeal pathways that satisfy regulatory requirements for automated decisions Minimum qualifications - Experience in trust & safety, integrity, or risk policy work - Hands-on operational experience — you've owned or quality-checked live enforcement queues, not only authored policy - Subject matter expertise in one or more of: KYC, identity verification, age or identity assurance, or verification program operations - Experience navigating evolving regulatory landscapes (including frameworks like the DSA and GDPR) as design constraints rather than blockers - Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability tradeoffs need to be navigated together - Comfort using data (SQL or similar tools) to measure what's working and inform decisions - Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders - Excellent judgment and the ability to make consistent, defensible calls on ambiguous cases Preferred qualifications - Experience with graduated/tiered enforcement systems rather than binary ban models - Experience with geographic access restrictions, sanctions screening, or