Anthropic
AI Frontier · AI lab
- HQ
- San Francisco, US
- Founded
- 2021
- Size
- 1,500+
- Website
- anthropic.com
- Blog
- anthropic.com
Products
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.
AI Frontier · AI lab
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 |
|---|---|---|
| Data Operations Manager This role focuses on building and scaling data operations for AI research teams, managing the entire data pipeline from requirements to production. It involves partnering with researchers, managing vendors, and ensuring high-quality training data for frontier AI capabilities like RLHF, safety, tool use, and agentic workflows. The role requires operational excellence, technical depth in understanding training data, and strong project management skills. | DataPost-train | 7 |
| Staff Software Engineer, Systems Staff Software Engineer, Systems role at Anthropic focused on building and maintaining the infrastructure that supports AI clusters at massive scale. This includes compute uptime, resilience, networking, and reliability challenges, enabling frontier AI research and safe deployment to millions of users. The role requires deep knowledge of distributed systems, reliability, and cloud platforms, with experience in systems languages and leading infrastructure projects. |
| Serve |
| 7 |
| Principal Capacity Engineer, Compute This role focuses on capacity engineering for AI workloads, involving planning, forecasting, and optimization of global infrastructure. The engineer will design and deliver capacity management systems, build usage attribution, oversee planning tools and guardrails, model costs for research and training, identify efficiency opportunities, and partner with Finance and leadership for strategic decision-making. Experience with AI workload capacity, cross-functional projects, LLMs, and observability is preferred. | ServeData | 7 |
| Anthropic Fellows Program Lead, Alignment Science This role leads and scales Anthropic's Fellows Program, a two-to-six-month initiative designed to accelerate AI safety research and foster research talent by providing funding, mentorship, and support for fellows to work on AI safety research projects. The lead will manage program operations, recruiting, research coordination, and people support, aiming to build a premier pipeline for AI safety research and talent development. | Post-train | 7 |
| Data Scientist, Claude Code Data Scientist role focused on analyzing developer interactions with Claude Code, a command-line AI coding assistant. The role involves defining metrics, designing experiments, and identifying insights to improve the product and developer experience, aiming to scale this AI-assisted development tool. | Ship | 7 |
| Technical Documentation & Content Engineer, Claude Code This role focuses on creating comprehensive documentation and content for Claude Code, an AI agentic coding system. The engineer will lead documentation strategy, develop best practices, create resources for various development environments, design onboarding experiences, and collaborate with engineering teams to document new features. The role requires deep expertise in Claude Code, AI-powered development tools, and strong full-stack development skills. | Agent | 7 |
| Product Research Engineer, Education Labs Product Research Engineer on the Education Labs team, focused on studying AI's impact on education and improving AI products using learning principles. Combines technical prototyping, research, and product thinking to enhance user learning with Claude. Collaborates with product, design, and engineering teams to translate learning science insights into shipped features. Analyzes product metrics and user behavior to understand learning patterns and identify improvement opportunities. Partners with Societal Impacts team to study AI's effects on education and human learning. | Ship | 7 |
| Senior / Staff Software Engineer, Search This role involves building Anthropic's search platform from scratch, focusing on scalable and efficient information retrieval for Claude. The engineer will establish metrics, improve search algorithms, and enhance indexing mechanisms, requiring strong distributed systems experience and search fundamentals. | AgentServe | 7 |
| Engineering Manager, Claude Code Engineering Manager for Anthropic's Claude Code team, focusing on scaling the team, building core features for an AI-driven development tool, and managing engineers. The role requires a blend of technical expertise in web technologies and distributed systems, leadership experience, and a deep understanding of developer productivity and enterprise customer needs. | Ship | 7 |
| Technical Partner Enablement Lead This role focuses on technical education and enablement for strategic cloud and technology partners, empowering them to build solutions with Anthropic's Claude models. The Technical Partner Enablement Lead will create and deliver technical content, lead hackathons, workshops, and presentations, and serve as a technical expert to partner engineering teams. The goal is to showcase Claude's advanced capabilities and drive developer adoption and technical adoption of Anthropic's AI models. | Ship | 7 |
| Technical Curriculum Engineering Lead This role focuses on creating technical educational content and demos for Anthropic's AI models, translating complex AI concepts into practical learning experiences for developers. It involves partnering with research and product teams to showcase Claude's capabilities and influence user education strategy. | Post-train | 7 |
| Staff Software Engineer, AI Reliability Engineering Staff Software Engineer focused on AI Reliability Engineering, responsible for defining and achieving reliability metrics for Anthropic's AI products and services, including LLM serving and training systems. This involves designing monitoring, implementing high-availability infrastructure, leading incident response, and optimizing costs for large-scale AI infrastructure. | Serve | 7 |