Currently tracking 124 active AI roles, with 106 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $46k–$850k (avg $405k).
Anthropic has 145 active AI-related job listings. The majority of these roles are focused on agents, comprising 28% of the total. Engineering is the most frequent function, with 74 listings, followed by Research with 51. The company is primarily hiring in the United States, with 118 positions, and the United Kingdom, with 22. Frequent tech tags include model_serving, evals, and agent_orchestration, suggesting a focus on deployment and evaluation of AI systems. In the last 30 days, Anthropic posted 16 new AI roles, a 47% decrease compared to the previous 30-day period.
Anthropic currently has 132 active AI-related roles in our index. The most common open titles are: Applied AI Architect, Industries (2), Regional Research Economist, Economic Research (2), Research Engineer, Machine Learning (RL Velocity) (2), Research Engineer, Production Model Post-Training (2), Staff Software Engineer, AI Reliability Engineering (2). Most positions are in Engineering and Research.
Anthropic's active AI hiring is concentrated in: agents (28%), serving infrastructure (17%), post-training (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Anthropic is hiring AI talent in: United States (106 roles), United Kingdom (20 roles), Canada (6 roles), Ireland (5 roles).
Job postings at Anthropic most frequently reference: model serving, evals, llm observability, agent orchestration, inference infra.
In the past 30 days, Anthropic has posted 29 new AI-related roles. That is a +61% change versus the prior 30 days (18 → 29).
| Title | Stage | AI score |
|---|---|---|
| Technical Program Manager, Inference Performance Technical Program Manager focused on inference performance and efficiency for AI models, coordinating launches, managing dependencies, and optimizing runtime and accelerator performance across multiple hardware targets. | Serve | 7 |
| Staff Software Engineer, AI Reliability Engineering Staff Software Engineer, AI Reliability Engineering at Anthropic. This role focuses on improving the reliability, robustness, and resilience of AI serving systems, specifically for large language models like Claude. Responsibilities include developing SLOs, designing monitoring and observability, assisting with high-availability infrastructure, leading incident response for critical AI services, and supporting the reliability of safeguard model serving. | Serve |
| 7 |
| Research Economist, Economic Research Research Economist role focused on measuring and understanding the economic impact of AI systems, developing methodologies for the Anthropic Economic Index, and using frontier econometrics and machine learning methods. The role involves analyzing AI interactions, labor market impacts, and productivity, and translating insights into policy and product recommendations. | Data | 7 |
| Software Engineer, Safeguards Infrastructure Software Engineer focused on building foundational systems for AI safety, including infrastructure for data management, metric and evaluation systems, and tooling for human and agentic review. The role involves ensuring the day-to-day running of Safeguards systems and building robust, reliable multi-layered defenses for real-time improvement of safety mechanisms at scale. | Eval GateAgent | 7 |
| Applied AI Architect, Enterprise Tech This role is a Pre-Sales Applied AI Architect for enterprise clients, focusing on guiding them to integrate and deploy Anthropic's Claude LLM into their technology stacks. The architect will act as a trusted technical advisor, translating customer requirements into LLM solutions, assisting with architecture decisions, and helping customers develop evaluation frameworks for Claude's performance. The role involves close collaboration with Sales, Product, and Engineering teams. | Agent | 7 |
| Software Engineer, Cybersecurity Products Software Engineer focused on building AI-powered cybersecurity products. This role involves prototyping, iterating based on customer feedback, collaborating with research teams on model capabilities, and engaging with customers to inform product direction. It sits at the intersection of research, product, and go-to-market. | Agent | 7 |
| Applied AI Architect, Industries This role is an Applied AI Architect focused on pre-sales for large enterprises, acting as a trusted technical advisor to help them understand and integrate Anthropic's Claude LLM into their technology stack. The architect will design innovative LLM solutions, guide customers through the adoption journey, and help them develop evaluation frameworks. | Agent | 7 |
| Software Engineer, Safeguards Software Engineer focused on building safety and oversight mechanisms for AI systems, including monitoring, misuse prevention, and abuse detection. The role involves developing systems to detect unwanted model behaviors, enforce policies, and build scalable defenses. | Agent | 7 |
| Staff Software Engineer, Developer Productivity (CI/CD) - Claude Code Staff Software Engineer on the Developer Productivity team at Anthropic, focusing on the CI/CD pipeline and integrating AI-assisted code review to improve developer velocity and code quality for the Claude AI system. | — | 5 |
| Staff Software Engineer, Developer Productivity (Dev Environments) - Claude Code This role focuses on improving the developer productivity and inner development loop for engineers at Anthropic, including those working on Claude. The engineer will own the end-to-end development environment, focusing on speed, isolation, and pre-push validation. A key aspect is the integration and use of AI coding assistants and agentic coding practices within the development workflow. | — | 5 |
| Customer Success Manager, Beneficial Deployments - Global Development Customer Success Manager role focused on helping mission-driven organizations adopt and scale Anthropic's AI products (Claude API, Claude for Enterprise, Claude Code) to amplify their social impact. This role involves building strategic relationships, understanding customer needs, guiding them on product usage, developing enablement resources, and quantifying the value realized. The insights gathered will inform product development and research priorities. | — | 5 |
| Software Engineer, Identity & Access Controls Software Engineer role focused on building identity, vetting, and access management infrastructure for Anthropic's AI systems. This includes systems for verifying customers, granting/revoking access to advanced capabilities, and monitoring for misuse and account takeover. The role also involves integrating with third-party vendors and creating monitoring dashboards and admin tooling. While the company builds AI, this specific role focuses on the operational and security infrastructure around access to those AI capabilities, rather than building the AI models themselves. | — | 5 |
| Enterprise Account Executive, Industries Generalist This role is for an Enterprise Account Executive at Anthropic, focusing on selling their AI productivity SaaS solution to large enterprise organizations in the DACH region. The primary responsibility is to drive revenue growth by securing strategic deals, understanding customer needs, and collaborating with internal teams to refine the value proposition. While the role is within an AI company and involves selling AI solutions, the core craft is sales, not building or researching AI. | — | 5 |
| Head of Social Communications This role is responsible for developing and executing social communications strategies for Anthropic and its AI product, Claude. It involves managing proactive and reactive social media, translating complex technical information for diverse audiences, and engaging with the AI community. The role operates at the intersection of Communications and Marketing, focusing on building brand affinity, managing crises, and measuring social media impact. | — | 5 |
| Customer Success Manager, Public Sector Customer Success Manager for Public Sector at Anthropic, focusing on helping government agencies adopt and leverage AI products like Claude. This role involves strategic partnership, understanding customer needs, driving adoption, and demonstrating value, while also informing product development. | — | 5 |
| People Research Scientist, Recruiting Research Scientist focused on People Data Solutions for the Recruiting organization, using scientific methods to improve recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity. This role involves designing and executing research studies, analyzing data using statistical and ML techniques, and communicating findings to stakeholders to drive evidence-based decisions within an AI safety company. | — | 5 |
| People Research Scientist, People Research Scientist role focused on organizational science and people analytics within an AI safety company. The role involves designing and executing studies on employee experience, manager effectiveness, and organizational health, utilizing rigorous scientific methods and statistical analysis. It requires expertise in survey design, psychometric methods, and translating research findings into actionable recommendations for people strategy and decision-making. While the company is in AI, the core function of this role is people research, not direct AI/ML model development. | — | 5 |
| Engineering Manager, Enterprise Engineering Manager for Anthropic's Enterprise pillar, responsible for making Claude enterprise-ready at scale. This role focuses on building foundational systems for large organizations, removing deployment blockers, and ensuring security, compliance, and control. The manager will lead a team, own engineering execution, partner with product, design, sales, and customer success, and shape the roadmap. | — | 5 |
| Manager, Startup Partnerships Manager, Startup Partnerships at Anthropic, leading a team to drive adoption of AI solutions and expand customer base within the startup ecosystem. Focuses on building pipeline, establishing presence in new markets, and ensuring responsible AI deployment. | — | 5 |
| Technical Program Manager, API Platform Technical Program Manager to drive scaling and core efficiency programs for Anthropic's API platform, focusing on the intersection of the API and its underlying infrastructure (compute, databases, networking, inference). The role involves connecting isolated workstreams, managing cross-org dependencies, and creating clarity on decision-making to ensure the API stack scales efficiently and predictably. | — | 5 |
| Field Reporting Insights Manager This role focuses on building and owning the reporting foundation for Anthropic's go-to-market organization, translating leadership needs into durable reporting, driving analytical innovation, and scaling the function. It involves designing, building, and certifying core reporting suites across various GTM performance metrics, partnering with data teams, and leveraging AI tools to surface insights from unstructured data. | — | 5 |
| Policy Communications Manager This role is for a Policy Communications Manager at Anthropic, an AI company. The manager will be responsible for external communications regarding the company's security, governance, and responsible scaling programs. This includes communicating about the development of secure AI systems, the Responsible Scaling Policy framework, and the company's corporate structure. The role requires partnering with security, product, legal, governance, and RSP teams to articulate Anthropic's approach to building safe and secure AI models, and to communicate about the company's governance structures, including the Long-Term Benefit Trust and public benefit corporation status. The manager will also develop communications around emerging regulatory frameworks and transparency obligations, manage reactive media requests, build media relationships, and prepare executives for public appearances. The role emphasizes experience in policy communications, managing complex security or governance topics, distilling technical information, issues management, and working across teams. A strong commitment to AI safety is also highlighted. | — | 5 |
| Applied AI Security Architect This role is for an Applied AI Security Architect who will act as a trusted security expert for enterprise customers, focusing on security, compliance, networking, and data architecture for AI deployments in regulated industries across EMEA. The role involves engaging with CISOs and technical leaders to address concerns about deploying AI models safely and securely, ensuring compliance with European regulations like GDPR and the EU AI Act. | Ship | 5 |
| Senior Manager, Accounts Receivable, Credit & Collections Senior Manager for Accounts Receivable, Credit & Collections in EMEA, focusing on end-to-end lifecycle management and driving automation through AI and modern tooling. This role involves people leadership, strategic direction, and managing the credit and collections roadmap for the region, with a strong emphasis on scaling operations efficiently. | — | 5 |
| Technical Program Manager, Apps Platform Technical Program Manager for Anthropic's Apps Platform, focusing on building and scaling the common foundation for Claude and other AI products. The role involves owning the roadmap, driving alignment between platform and product teams, identifying duplication, establishing operating rhythms, and facilitating technical decision-making to increase developer velocity and ensure reliable product shipping. | — | 5 |
| Security Controls Assurance Lead This role focuses on defining and validating security controls for AI systems and autonomous operators within Anthropic. It involves translating regulatory and compliance obligations into actionable requirements for engineering teams, assessing implementations, and ensuring AI-performed controls meet external audit and regulatory scrutiny. The role requires strong collaboration between security, engineering, and GRC teams, with a focus on integrating compliance into the AI development lifecycle. | — | 5 |
| Staff+ Security Engineer, Risk Engineering This role focuses on building AI-native platforms and automation for security risk management. The engineer will identify, prioritize, and drive treatment of security risks, working across various security domains. Key responsibilities include building systems for risk measurement, quantification tooling, automated intake, and observability. The role also involves designing and building AI-native risk tooling that uses Claude to classify risks, augment triage, and sense changes in the risk landscape. Experience with LLM or agent-powered tooling for security automation is preferred. | AgentServe | 5 |
| Engineering Manager, Safeguards Data Infrastructure Engineering Manager for Safeguards Data Infrastructure at Anthropic, focusing on building and managing the offline data stack that supports AI safeguards. Responsibilities include data portability, privacy-safe data APIs for ML/training, compliance with regulations like HIPAA, and managing a team of engineers. | — | 5 |
| Engineering Manager - Privacy Infrastructure Engineering Manager to lead the Privacy Engineering team, responsible for designing and operating privacy infrastructure for user data across AI systems, including training and inference. The role involves building foundational privacy infrastructure, translating regulations into engineering reality, and enabling privacy by default for engineers. This is a management role focused on scaling the team and its charter. | ServeData | 5 |
| Communications Lead, Infrastructure and Engineering Communications Lead for Anthropic's Claude infrastructure and engineering, focusing on external storytelling for inference and reliability. This role will craft narratives, develop messaging frameworks for technical topics, lead comms responses to engineering issues, and coach spokespeople. | — | 5 |
| Applied AI Architect (Public Sector) Pre-sales architect for Anthropic's Claude LLM, focusing on UK and Northern Europe public sector clients. The role involves understanding customer needs, architecting LLM solutions, guiding integration, and ensuring compliance with public sector constraints. It requires strong technical and customer-facing skills, with an emphasis on safety and reliability. | Agent | 5 |
| Engineering Manager, Platform Foundations Engineering Manager for Platform Foundations at Anthropic, leading teams to scale product infrastructure across multiple cloud providers to meet rapidly growing customer demand. Focuses on compute, networking, API serving systems, and developer productivity tooling. | — | 5 |
| Partner Solutions Architect, Applied AI This role is a Pre-Sales Solutions Architect focused on building technical relationships with Anthropic's Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS, GCP). The goal is to accelerate indirect revenue, enable partner AI practices, and execute Go-To-Market strategy. Responsibilities include acting as a technical thought partner, developing joint solutions, supporting customer deals, representing Anthropic at partner events, and gathering product feedback. | — | 5 |
| Communications Manager, Enterprise This role focuses on communicating Anthropic's AI products and capabilities to enterprise customers, partners, and buyers. It involves shaping product launch narratives for business audiences, crafting industry-specific stories, managing partnership and customer announcements, developing executive thought leadership, and defining competitive positioning. The role requires strong writing, project management, and cross-functional collaboration skills to translate technical AI concepts into business value. | — | 5 |
| Engineering Manager, API Core Capabilities Engineering Manager for Anthropic's API Core team, responsible for the critical request lifecycle preceding every inference call. This role focuses on optimizing service efficiency, throughput scaling, and managing rate limiting/fairness systems to maximize Claude API's capacity and reliability. It involves setting technical direction, driving delivery, and collaborating across infrastructure, inference, and product teams. | — | 5 |
| Support Engineer This role serves as a dedicated Product Support point of contact for Anthropic's strategic enterprise customers, providing high-touch, deeply contextual support. The Support Engineer will investigate, diagnose, and resolve complex technical needs, partnering with Sales, Customer Success, and Applied AI teams. Responsibilities include owning customer technical needs end-to-end, building deep context on customer architectures, capturing technical feedback, managing high-urgency issues, and contributing to the foundations of the Support Engineer function. The role requires expertise in APIs, technical SaaS products, and troubleshooting enterprise authentication flows, with a strong emphasis on user empathy and crisp communication. Familiarity with LLM capabilities is a plus. | — | 5 |
| Customer Success Programs Manager This role is for a Customer Success Programs Manager at Anthropic, focusing on building and scaling AI-native customer engagement programs using Claude. The role involves designing and shipping programmatic plays, leveraging AI agents and automated journeys to drive customer adoption and value realization. It requires a blend of customer success program expertise and hands-on experience with AI tools to create repeatable, self-serve solutions. | — | 5 |
| Applied AI Architect, Applied AI (Digital Natives Business) Applied AI Architect role focused on pre-sales, acting as a technical advisor to large enterprises for integrating and deploying Claude (LLM). Responsibilities include understanding customer requirements, architecting LLM solutions, guiding customers through adoption, creating technical content, and helping customers develop evaluation frameworks. Requires experience in technical customer-facing roles, cloud architectures, and familiarity with LLM frameworks. | Agent | 5 |
| Strategic Partner Development, Product Partnerships - Cybersecurity This role focuses on building strategic partnerships within the cybersecurity industry to support Anthropic's product strategy. The individual will act as a domain expert, identify and engage with key partners, and facilitate collaborations that may involve product integrations. While technical fluency in AI/ML is required for credible engagement, the core function is product partnerships and business development within the security sector, not direct AI/ML model development or deployment. | — | 5 |
| Beneficial Deployments Customer Success Manager, Scaled Partnerships This role focuses on customer success for AI products, specifically Claude Enterprise, Claude Code, and the API, targeting a broad segment of customers through scalable, digital-first approaches. The CSM will guide organizations through onboarding, adoption, and change management, ensuring responsible and safe AI integration. The role involves collaborating with internal teams (Product, Customer Success, Beneficial Deployments) and external partners to develop content, engagement plans, and gather customer insights to influence product roadmaps and improve customer experience. A key aspect is working with a cohort of nonprofit partners to tailor support and build lasting internal capacity. | — | 5 |
| Product Manager, Developer Productivity Product Manager for Developer Productivity at Anthropic, focusing on building systems that enable engineers and researchers to develop, build, test, and ship code. This role involves partnering with engineering teams to own the end-to-end developer experience, from source control and build infrastructure to AI-integrated tooling that accelerates workflows. The position emphasizes defining developer productivity in an AI-native environment where agents contribute significantly to code development and shipping. | — | 5 |
| Applied AI Architect, Partnerships This role is a Pre-Sales Solutions Architect focused on building technical relationships with System Integrators and cloud partners (AWS, GCP) to accelerate indirect revenue and enable their AI practices. Responsibilities include strategic technical partnership, joint solution development, assisting with customer deals, and representing Anthropic at partner events. The role requires strong client-facing technical experience, cloud architecture skills, and familiarity with LLM frameworks or ML/data science. | Ship | 5 |
| Head of Enterprise Sales - Industries, ANZ Head of Enterprise Sales for Anthropic in ANZ, responsible for developing and executing go-to-market strategies, building and leading a sales team, establishing strategic partnerships, and adapting AI product offerings for the regional market. This role requires extensive enterprise sales leadership experience, preferably with exposure to AI technologies, and the ability to navigate complex sales processes and market challenges. | — | 5 |
| Staff Software Engineer, Node Infra Staff Software Engineer, Node Infra at Anthropic. This role focuses on owning the technical strategy and roadmap for node lifecycle management (ingestion, bring-up, health checking, automated repair) for AI clusters. It involves driving cross-team initiatives to scale AI clusters across multiple clouds and accelerator families, designing systems for hardware health and remediation, and defining infrastructure architecture. The role also requires close collaboration with cloud providers and internal teams on compute and infrastructure strategy, and establishing operational excellence practices. Requires deep expertise in distributed systems, reliability, cloud platforms, systems languages, and hands-on experience with ML accelerators. | — | 5 |
| Senior Staff+ Software Engineer, Kubernetes Platform Staff Software Engineer on the Kubernetes Platform team at Anthropic, responsible for owning, operating, and extending large-scale Kubernetes clusters (hundreds of thousands of nodes) used for training, research, and serving frontier AI models. This includes custom scheduling plugins, scaling the control plane, and building core cluster services. The role requires deep Kubernetes experience and a track record in production distributed systems. | Serve | 5 |
| Research Operations, External Artifacts This role focuses on the operational and editorial aspects of producing Anthropic's external AI system cards and other safety artifacts. It involves project management, coordinating with research and safety teams, editing technical content, and ensuring consistency across various safety documentation. While it works closely with AI research, the core function is not building or researching AI models themselves, but rather communicating about them and their safety properties. | — | 5 |
| Policy Counsel, EMEA This role focuses on supporting public policy and legal initiatives at the intersection of AI technology and regulation. The Policy Counsel will work cross-functionally to navigate emerging policy challenges and advocate for frameworks that promote responsible AI development. Responsibilities include supporting the development of AI governance frameworks, monitoring regulatory developments, providing legal analysis, and partnering with technical teams on policy guidance. | — | 5 |
| AI Compliance Officer This role is responsible for designing, building, and running Anthropic's compliance program for frontier AI regulation, including the EU AI Act and other global regimes. The officer will own policies, controls, documentation, and engage with regulators, auditors, and leadership. | — | 5 |
| Technical Program Manager, Launches This role is a Technical Program Manager responsible for orchestrating the launch of Anthropic's AI capabilities to the world. It involves coordinating between research, engineering, product, infrastructure, and go-to-market teams to ensure reliable and timely launches. The role requires deep technical fluency, the ability to drive alignment across diverse teams, and experience managing complex, cross-functional programs in a fast-paced, ambiguous environment. | — | 5 |
| Staff Infrastructure Engineer, Cluster Infrastructure Staff Infrastructure Engineer focused on the full lifecycle of compute clusters, including agent-driven automation for provisioning, updates, and decommissioning. The role involves ensuring high-bandwidth, secure, and fault-tolerant clusters to support AI model training and inference at scale. | — | 5 |