The Head of Amazon GTM Partnership will lead Anthropic's strategic partnership with AWS, driving revenue growth through comprehensive go-to-market strategies. This role involves team leadership, stakeholder engagement, and developing scalable partnership processes to maximize the partnership's potential in AI technology commercialization.

The Developer and Technical Communications Lead at Anthropic is responsible for shaping communication strategies for technical audiences. This role involves developing narratives for AI innovations, managing crisis communications, and building relationships with developer communities. The position requires strong technical writing and project management skills, along with a deep understanding of AI technologies.

The Economist at Anthropic will lead the development of the AI Economic Index, conducting empirical research on AI's economic effects. Responsibilities include designing studies, producing reports, and collaborating with teams and external partners to translate research into actionable insights.

The role involves developing and executing recruiting strategies, collaborating with various teams to understand hiring needs, enhancing the employer brand, and ensuring a positive candidate experience. The recruiter will need to thrive in a fast-paced environment and demonstrate a strong understanding of technical qualifications.

The Software Engineer, Platform role at Anthropic involves building and scaling backend platform components to support rapid growth and technology development across the organization. The engineer will collaborate with product teams, set technical direction for products, and deliver robust solutions while maintaining a focus on AI safety.

As an Enterprise Account Executive at Anthropic, you will drive revenue growth by securing strategic deals with top enterprises, implementing innovative sales strategies, and collaborating with cross-functional teams. Your role involves managing complex sales cycles, providing tailored solutions, and refining the sales methodology to enhance customer experiences and the company's market positioning.

The Research Manager for Applied Finetuning will lead a team focused on training production models using innovative techniques. Responsibilities include managing projects, conducting experiments, and improving training pipelines while fostering professional growth among team members.

As a Strategic Account Executive, you'll deepen partnerships with AI-native customers, manage complex negotiations, and align customer needs with Anthropic's product vision. You'll also identify market trends and develop account strategies to support customer growth stages.

As a Software Engineer at Anthropic, you'll design and improve large-scale machine learning systems, enhancing reliability and efficiency while engaging in diverse code and infrastructure tasks. Collaboration through pair programming and a commitment to impactful AI research are key aspects of the role.

The role involves creating comprehensive technical content to aid developers in mastering Claude's capabilities. Responsibilities include developing code-heavy tutorials, maintaining technical documentation, and leveraging AI to enhance educational experiences.

The Technical Program Manager for Incident Operations at Anthropic will oversee the incident response program, act as an on-call incident commander, manage communications during incidents, and foster a culture of learning from incidents. The role involves collaboration with technical and non-technical teams to ensure effective incident management processes are in place.

Design and implement new information architecture strategies, train language models, build knowledge base eval sets, extend traditional ideas, collaborate with ML researchers, conduct research, and develop innovative solutions.

The Software Engineer will develop monitoring systems to detect and prevent abuse in AI models, build robust defenses, analyze user reports, and collaborate with research teams to enhance safety mechanisms.

The Startup Account Executive will lead business development efforts for Anthropic in EMEA by securing strategic partnerships focused on safe AI. Responsibilities include driving revenue growth, designing sales strategies, executing market expansion, and informing product roadmaps based on customer feedback.

The Staff Software Engineer will focus on building and maintaining high-availability AI infrastructures, establishing reliability metrics, and leading incident responses to ensure service stability. They will design monitoring systems and optimize costs related to large-scale AI deployments while collaborating with ML engineers to enhance the reliability of AI services.

This role involves driving strategic initiatives for revenue operations within the EMEA region, focusing on process improvement for the sales team, ensuring data hygiene in Salesforce, and analyzing sales performance metrics to optimize operations and strategies in alignment with company revenue targets.

The Senior Privacy Counsel will develop EU privacy and data protection strategies, provide legal guidance on privacy laws, and collaborate with teams to implement privacy measures, particularly concerning AI. The role entails managing relationships with regulators, ensuring GDPR compliance, and staying updated on legislative changes.

The Research Scientist will develop and implement advanced autonomy evaluations to assess AI Safety Levels, lead the design of experiments, provide technical leadership to engineers, and communicate outcomes to stakeholders. The role involves collaboration across teams and requires a strong background in machine learning and experimental research.

Anthropic is seeking a Research Engineer for their Multimodal team. The role involves developing architectures for modeling multimodal data, building infrastructure projects, and working on data ingestion for large-scale experiments. Candidates should have software engineering experience, be results-oriented, and care about societal impacts of their work. Strong candidates may also have experience with high-performance ML systems, GPUs, transformers, and reinforcement learning.

The Research Engineer / Research Scientist will develop and research cutting-edge AI systems focusing on multimodal capabilities. The role involves building infrastructure for large-scale language models, running experiments, and contributing to deep learning projects. Collaboration and flexibility are key, as well as a commitment to understanding the societal impacts of AI.