Anthropic Jobs

Anthropic

As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's economic effects and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index, establish new methodologies to measure AI's usage, diffusion, and impact, and broaden access to the insights generated. This role involves using frontier methods in econometrics, machine learning, and structural estimation to drive impact and inform both external policy discussions and Anthropic's internal business and product decisions. The team combines rigorous empirical methods with novel measurement approaches, building datasets that track AI's impact on labor markets, productivity, and economic transformation using a privacy-preserving measurement system.

Anthropic

Anthropic's Product Engineering organization is seeking experienced full-stack engineers to lead teams focused on current and emergent products. You will be a technical leader responsible for the end-to-end user experience across various platforms like Claude.ai, the Anthropic API, and enterprise deployments. This role involves partnering with product leaders, designers, and researchers to translate new AI capabilities into user-facing products, with a focus on technical quality, scalability, and a passion for AI's potential.

Anthropic

Anthropic is seeking a Senior Manager for Accounts Receivable, Credit & Collections to oversee the end-to-end credit and collections lifecycle for customers in the Americas. This leadership role is crucial as the company's commercial business expands. You will manage a team, define the credit and collections strategy, and drive an automation roadmap to scale cash collection efficiently. The position involves partnering with Sales, Legal, Deal Desk, and Customer Success to establish responsible credit extension and efficient collection processes. The ideal candidate will have a strong background in building operational rigor, scaling credit and collections functions through automation and AI, and a commitment to balancing customer relationships with business protection.

Anthropic

Anthropic is seeking an exceptional Detection and Response engineer to build solutions for monitoring threats, investigating incidents, and coordinating response efforts. This role offers the opportunity to shape security capabilities from the ground up alongside world-class research and security teams. The ideal candidate will be at the forefront of safeguarding advanced AI systems.

Anthropic

Anthropic is seeking a Research Operations Specialist to manage the production of risk reports, which are long-form technical documents detailing potential risks from AI models. This role involves coordinating contributions from numerous researchers, managing timelines, and ensuring the final document is cohesive and accurate. You will also perform substantive editorial work, transforming technical findings and threat models into clear prose, and ensuring consistency across various safety artifacts like system cards and Responsible Scaling Policy updates. This position requires a blend of project management and communication skills to make complex AI safety assessments accessible to a broad audience while maintaining precision.

Anthropic

As a Research Lead on the Training Insights team, you will develop the strategy for, and lead execution on, how we measure and characterize model capabilities across training and deployment. This is a hands-on leadership role where you will drive original research into new evaluation methodologies while leading a small team of researchers and research engineers. Your work will span the full lifecycle of model development, from researching and building new long-horizon evaluations to developing novel approaches for measuring emerging capabilities and deepening our understanding of how those capabilities develop. You will also take a cross-organizational view, working across various teams to map the landscape of model evaluations and identify critical gaps. This role carries significant visibility and impact, helping to shape the evaluation narrative for model releases and contributing directly to how Anthropic communicates about its models. Done well, you will change how the industry measures and understands model capabilities, significantly furthering our safety mission.

Anthropic

The Domain Scaling team aims to make Claude world-class at real-world knowledge work in domains like finance, healthcare, and legal. This role combines direct applied research with data sourcing (real-world and synthetic) to improve our models. You will own the end-to-end process of creating RL environments for new capabilities, which includes identifying high-value tasks, designing reward signals, managing vendor relationships, and measuring impact on model performance.

Anthropic

As an Economist at Anthropic, you will play a crucial role in measuring and understanding the profound effects of AI on the global economy. You will lead the development of the Anthropic Economic Index, establishing innovative methodologies to track AI's usage, diffusion, and impact using privacy-preserving tools and unique data sources. This role requires applying frontier methods in econometrics, machine learning, and structural estimation to drive significant impact, influencing both external policy discussions and Anthropic's internal business and product strategies. Our team focuses on rigorous empirical methods and novel measurement approaches, building datasets that analyze AI's influence on labor markets, productivity, and economic transformation.

Anthropic

Pioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency. Working at the intersection of hardware and software, you'll implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack—from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization. Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.

Anthropic

As a Regional Research Economist, you will collaborate with governments, academia, industry, and civil society to measure and understand AI's economic effects and explore policy interventions. You will contribute to the Anthropic Economic Index, developing new methodologies to assess AI's usage, diffusion, and impact, and broadening access to these insights. This role involves using advanced econometrics, machine learning, and structural estimation to drive impact on policy discussions and inform Anthropic's business and product strategies. The team focuses on rigorous empirical methods and novel measurement approaches, building datasets to track AI's impact on labor markets, productivity, and economic transformation using a privacy-preserving system to analyze real-world AI interactions.

Anthropic

Anthropic's Platform Org is dedicated to empowering builders through AI. Our vision is to establish the premier platform for businesses seeking to transform themselves and their products with AI. This organization is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure, serving a diverse user base from startups to large enterprises. The platform team focuses on three key areas: enterprise fabric for multi-cloud integrations at scale, frontier capabilities for advanced developer experiences, and agentic platform for next-generation agentic infrastructure and products.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As a Product Manager focused on Developer Productivity, you will partner with Infrastructure, Inference, Research, and Product Engineering teams to develop the systems that enable thousands of engineers and researchers to build, test, and ship code. Your work will directly impact engineering velocity by defining abstractions for code development, establishing metrics to identify friction, and making trade-offs to ensure a rapidly scaling organization ships with confidence. You will drive the evolution of our developer platform as AI agents become autonomous collaborators, redefining developer productivity in an AI-native world.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As a Product Manager focused on Compute Platform, you will partner with Infrastructure, Compute Operations, Engineering, Finance & Strategy, and Research teams. Your role will be to build the scheduling, orchestration, and capacity management systems that power Anthropic’s compute infrastructure, which is essential for all model training, evaluation, and inference workloads.

Anthropic

As a Product Manager on Claude Code's model performance team, you will drive model launches end-to-end, build evals that measure what matters, and partner directly with researchers and product engineers to translate model improvements into developer-facing outcomes. Claude Code is the most capable coding agent in the world, and this role is crucial for extracting its maximum performance. You will act as the connective tissue between frontier research and the millions of developers who depend on Claude Code.

Anthropic

Anthropic's Human Data Platform team is responsible for building systems that enhance our AI models by collecting crucial data. This involves creating infrastructure for simulating real-world environments and tasks, developing innovative interfaces for data vendors, and establishing pipelines for researchers to acquire high-quality data efficiently. As the real-world application of Claude expands, so does the need for sophisticated data collection tools. This role will collaborate closely with a fast-paced engineering team, contribute to strategic decision-making, and ensure investments are made in scalable tooling. The position requires working across research teams, data operations, and external vendors to translate insights into actionable product direction.

Anthropic

Anthropic's inference fleet serves Claude to millions of users across its own products and major cloud platforms. The stack supporting this is complex, involving accelerator kernels, model servers, distributed routing, autoscaling, and capacity management, where each layer's performance impacts the others. The Inference System Dynamics team is tasked with understanding this entire system and ensuring high performance across throughput, latency, reliability, and correctness. This involves measuring fleet performance against theoretical limits, investigating performance gaps, and owning correctness checks to ensure Claude's outputs are accurate across various hardware and serving configurations. The team focuses on identifying high-leverage optimization opportunities across components and collaborating with owning teams to implement them, treating correctness as an integral part of performance.

Anthropic

As part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy. You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth.

Anthropic

The Computer Use team focuses on teaching Claude to see, use, and understand computer interfaces. As a Research Engineer on the team, you'll work on advancing our models' ability to reliably and safely operate real software. We're looking for someone who's genuinely excited about both the research and the product sides of computer use. Your work will translate directly into model improvements in our own and our customers' products. You can try Claude's computer use capabilities today through the Claude in Chrome extension and Claude Cowork.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial for users and society. The Security Engineering team is crucial in protecting these AI systems and maintaining user trust. This role involves defining authentication architecture, designing cryptographic foundations for model weights and training data, and leading the developer security program. The team collaborates across identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks, with opportunities to contribute across these areas based on strengths and priorities.

Anthropic

We are seeking research engineers with a strong computer vision background to enhance the visual and spatial reasoning capabilities of our state-of-the-art Claude models. This role involves research, development, and evaluation, taking a full-stack approach across pretraining, RL, and runtime techniques. You will collaborate closely with the product organization to ensure that vision improvements directly impact Claude's performance on real-world tasks and address customer challenges.