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 |
|---|---|---|
| Manager of Applied AI Architecture, Industries Manager of Applied AI Architecture for DACH Industries at Anthropic, responsible for driving the adoption of AI products (Claude for Enterprise, Claude Code, API) across large enterprises in Germany, Switzerland, and Austria. The role involves leading and growing a team of Applied AI Architects, focusing on pre-sales engagements, technical GTM strategies, and ensuring AI solutions meet customer business needs, technical requirements, reliability, and safety standards, while adhering to local regulatory requirements. | Ship | 8 |
| 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 |
| 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 |
| Enterprise Account Executive, Industries Generalist Enterprise Account Executive responsible for driving adoption and revenue of Anthropic's AI productivity SaaS solution within the DACH region. This role involves full sales cycle ownership, strategic sales planning, market expansion, stakeholder management, and providing product feedback from enterprise users. | — | 5 |
| Customer Success Manager, DACH Customer Success Manager for Anthropic's AI products (API, Claude for Enterprise, Claude Code) in the DACH region. Focuses on driving adoption, optimizing usage, and maximizing customer value by understanding business objectives and providing strategic guidance. Acts as a liaison between customers and product teams, informing product development and go-to-market strategies. | — | 5 |
| [Munich] Enterprise Account Executive, Industries Enterprise Account Executive focused on selling Anthropic's AI productivity SaaS solution to large enterprise organizations in the DACH region. The role involves driving adoption, securing strategic deals, and collaborating with internal teams to refine market positioning. Requires extensive B2B enterprise sales experience, particularly in SaaS or emerging technologies, with a strong understanding of complex sales cycles and enterprise procurement. | — | 5 |
| GTM Strategy & Operations (Enterprise), DACH This role focuses on Go-to-Market (GTM) Strategy and Operations for the Enterprise segment, specifically within the DACH region. The primary responsibility is to drive revenue growth by developing and executing industry-specific GTM strategies, partnering with sales leadership, and acting as an operational force multiplier. The role involves identifying customer needs, building value propositions, analyzing sales metrics, and ensuring cross-functional alignment across product, engineering, marketing, and sales teams. While the company develops AI systems, this role is focused on the business and operational aspects of bringing those solutions to enterprise customers, rather than direct AI/ML development. | — | 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. The architect will collaborate on joint GenAI solutions, support customer deals, represent Anthropic at partner events, and gather product feedback. | — | 5 |
| Applied AI Architect, Industries This role is a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and how they can successfully integrate and deploy Claude into their technology stack. The architect will combine technical expertise with customer-facing skills to architect LLM solutions, guide customers from discovery through deployment, help customers develop evaluation frameworks, and identify common integration patterns. | — | 5 |