Anthropic

Anthropic

Anthropic is seeking an experienced Global Senior Equity Program Manager to oversee and manage the company's equity compensation strategy and operations across all global markets. This role is crucial for designing, implementing, and managing comprehensive equity programs aimed at attracting, retaining, and motivating top talent, while aligning with the company's mission to develop safe and beneficial AI systems. The position involves close collaboration with People, Legal, Finance, and Tax teams to ensure programs are competitive, compliant, and reflect the company's values. As Anthropic expands internationally, this role will be instrumental in building equity frameworks that support global growth and maintain consistency with the overall compensation philosophy, offering a unique opportunity to shape equity compensation practices during a significant growth phase.

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

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. As a Performance Engineer, you will identify and solve novel systems problems that arise from running machine learning (ML) algorithms at scale. You will develop systems to optimize the throughput and robustness of our largest distributed systems. This role requires a strong track record of solving large-scale systems problems and a desire to become an expert in ML.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role will manage the broad sourcing operations essential for Anthropic's global data center infrastructure, encompassing compute, networking, racks, mechanical components, cabling, and the associated supplier ecosystem. The successful candidate will ensure timely delivery of hardware to the correct sites under favorable terms, acting as the operational owner for these critical infrastructure elements.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. We are a growing team of researchers, engineers, policy experts, and business leaders dedicated to this mission. We are seeking a Staff Software Engineer to lead technical direction at the intersection of engineering and research for the Claude Code team. In this role, you will collaborate with researchers and engineering leadership to define how we measure, understand, and enhance Claude's coding abilities. You will architect the systems, tooling, and evaluation infrastructure that accelerate our research progress and be responsible for technical decisions impacting the team and beyond. This senior individual contributor position is for someone with a proven track record of building and owning large-scale systems, ready to take on a technical leadership role by driving architecture, mentoring engineers, and influencing the future of Claude Code.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. We are seeking a Machine Learning Infrastructure Engineer to join our Safeguards organization. In this role, you will build and scale the critical infrastructure that powers our AI safety systems, working at the intersection of machine learning, large-scale distributed systems, and AI safety. You will develop the platforms and tools that enable our safeguards to operate reliably at scale and directly contribute to making AI systems more trustworthy and aligned with human values.

Anthropic

As part of our growing Data Science and Analytics team, you will play a key role in Anthropic's mission of building safe and beneficial AI by driving data-informed decision-making across the organization. You'll be embedded with teams supporting our Developer Platform — the infrastructure that enables developers and enterprise customers to build on Claude via our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. In this role, you'll partner closely with product, engineering, and go-to-market teams to understand how AI agents are being built and deployed at scale. You'll identify growth opportunities, surface insights about platform adoption, and drive data-informed decisions that shape our platform roadmap. You'll also help establish the analytical foundations and best practices of a data science team that is still defining itself — bringing rigor and clarity to a fast-moving environment.

Anthropic

Anthropic is making significant, sustained investment in compute infrastructure to support its AI safety mission. The company is seeking an Infrastructure Tax Lead to manage tax end-to-end across this portfolio. This role will be integrated with the Infrastructure team, involved from the initial deal flow, and will coordinate with various departments including Legal, Technical Accounting, FP&A, International Tax, Transfer Pricing, Provision, and Incentives. The Infrastructure Tax Lead will be responsible for shaping deals from a tax perspective, leading incentive workstreams, and ensuring tax implications are accurately reflected in economic analyses and deal approvals.

Anthropic

Anthropic is seeking a Head of Consolidations & Intercompany to lead and expand its consolidation program and group-level intercompany framework. This is a hands-on, builder's role where you will design, document, codify, and scale processes, starting as a player-coach before building out a team. You will partner closely with the Head of Corporate Accounting on strategic direction and work across departments to ensure efficient and accurate financial operations as the company grows.

Anthropic

Anthropic is seeking a senior Design Engineer to join their Brand Web team. This role sits at the intersection of design and engineering, focusing on shaping the development of Anthropic's web properties, including significant portions of anthropic.com and claude.com. You will be responsible for interactive marketing pages, data visualization systems, and internal tooling for content operations. The position involves working collaboratively with designers, engineers, and brand/content teams, setting technical direction, and partnering with platform and product engineering on underlying infrastructure. Rapid prototyping and moving from concept to production with speed and craft are key aspects of this role.

Anthropic

As a Full-Stack Software Engineer in Reinforcement Learning (RL), you will be instrumental in building the platforms, tools, and interfaces essential for environment creation, data collection, and training observability. Your work will directly impact the quality of data used to train Anthropic's next-generation AI models. You will own product surfaces from end-to-end, encompassing backend services, APIs, and web UIs used by researchers, external vendors, and data labelers. The role emphasizes shipping polished, reliable products quickly, even when faced with ambiguous, high-stakes problems. This team operates at a rapid pace, focusing on judgment and taste to meet researcher needs, iterating on data collection strategies to distill expert knowledge into models within short feedback loops.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Interpretability team focuses on mechanistic interpretability, aiming to reverse engineer how trained models work by discovering how neural network parameters map to meaningful algorithms. This role supports a team of expert researchers and engineers dedicated to understanding the internal workings of large language models at a deep, mechanistic level. The manager will play a critical role in ensuring the team meets its ambitious safety research goals by partnering with an individual contributor research lead to drive team success, translate research ideas into tangible goals, and oversee execution. Responsibilities include managing team execution, careers, performance, facilitating inter-team relationships, and driving the hiring pipeline.

Anthropic

Anthropic is seeking an Engineering Manager to lead their Review Tooling team, which is responsible for building systems that help humans and AI investigate potential harms and take enforcement actions across Anthropic's products. This foundational role involves owning the tools safety investigators rely on, including analytics, privacy-preserving primitives, and a sandbox environment for rapid iteration. The manager will also drive the strategy for scaling review through automation, enabling Claude to extend human reviewer capabilities while keeping people in the loop for critical judgment. This position requires close collaboration with policy, operations, data science, and legal teams to ensure effective, accurate, and trustworthy enforcement systems.

Anthropic

Anthropic's Research Tools team builds systems that support large-scale, distributed finetuning runs and improve researcher productivity. As a manager, you will lead a team of machine learning and distributed systems experts to enhance the efficiency of these systems and tools, facilitate rapid iteration on model development and research, and continuously evolve the infrastructure to integrate new research advancements. This role is central to Anthropic's technical operations, requiring collaboration with research teams to integrate their innovations into the production finetuning pipeline, product teams for customer-oriented model improvements, and infrastructure teams to optimize training runs and data pipelines.

Anthropic

Anthropic's performance and scaling teams are dedicated to optimizing compute resources for both inference and training. As an Engineering Manager on these teams, you will lead efforts to identify and eliminate bottlenecks, develop resilient and scalable solutions, and enhance system efficiency. You will also provide clear direction, focus, and context to your team within a fast-paced, evolving environment. This role requires a leader who can guide engineering initiatives to improve model performance and scale inference and training systems, while also contributing technically to the team's stack.

Anthropic

Anthropic's performance and scaling teams focus on making the most efficient and impactful use of our compute resources for inference and training. As an Engineering Manager on these teams, you will be responsible for identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems. You will also help bring clarity, focus, and context to your teams in a fast-paced, dynamic environment.

Anthropic

We are hiring an Engineering Manager to lead a team of engineers building AI-powered cybersecurity products. The work spans research, product, and go-to-market. Your team will prototype and ship products that use frontier models to defend code and infrastructure. You will set technical direction, partner with research to turn new model capabilities into products, and stay close to customers so the team builds the right things. This is a builder's role where you should expect to be in the code, in customer calls, and in research reviews the same week. You also need to scale the team without losing the prototyping energy that got the product here.

Anthropic

Anthropic is building AI systems that are safe, beneficial, and transformative, aiming to develop AI that benefits humanity. Applied AI is a new exploration within Anthropic Labs, focused on bringing frontier AI capabilities to professionals in less software-native roles. This role involves taking advanced AI and turning it into user-friendly applications, rapidly prototyping new experiences, and partnering with researchers, domain experts, and users to shape the direction of this exploration. The ideal candidate is an entrepreneurial engineer comfortable with ambiguity, willing to iterate quickly, and energized by building in uncharted territory.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Beneficial Deployments team ensures AI reaches and benefits communities in need by partnering with nonprofits, governments, and mission-driven organizations. This role will drive the clinical AI research agenda for Anthropic's global health work, informing tools and generating evidence for their effectiveness. You will define how clinical AI tools are validated for low- and middle-income countries (LMICs) and shape tools and safeguards for Claude's safe and usable clinical application. This is a hands-on role requiring close collaboration with research, evals, and product teams to translate real-world care delivery knowledge into evaluations, safeguards, and product improvements.

Anthropic

We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. You'll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives. As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development. You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve. You'll work alongside teams building frontier AI systems while directly applying that technology to solve real financial operations challenges.