Anthropic Jobs

Cloudflare is seeking an Automation Specialist to revolutionize the operations of its global Data Center Security Compliance (DCSC) team. This role is integral to the Infrastructure Operations organization, which is responsible for the development, scaling, and management of Cloudflare's data center and network infrastructure across over 700 global sites. The DCSC team currently handles physical access control and compliance auditing for a highly complex and distributed infrastructure, involving numerous vendor portals and multiple regulatory frameworks. Much of this work is manual, including data extraction, access control reconciliation, and evidence assembly. This position is designed to automate these time-consuming tasks, enabling compliance coordinators to focus on higher-level activities like exception handling and regulatory judgment.

Customer Engineers on the Digital Native Enterprise team work with Cloudflare's most innovative and high-growth accounts, focusing on both the acquisition of new Digital Native accounts and the expansion of existing ones. This role is for a builder with a deep technical foundation and a commercial mindset, capable of engaging with engineers and executives alike across Application Development, Performance, Security, and Infrastructure. As a Customer Engineer, you are a technologist embedded within the GTM organization, owning the technical relationship from initial discovery through onboarding, adoption, renewal, and expansion, delivering architectural value and measurable business outcomes across the entire customer lifecycle. You will report to the Regional Customer Engineering Leader and partner closely with your aligned Account Executives.

$231k - $275k

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems, believing that powerful AI can accelerate scientific progress. The Claude Science team is building an AI workbench that integrates tools for researchers, enabling them to perform tasks spanning literature review, database interaction, scientific computing, analysis, and publication. This role offers the opportunity to shape both the product and architecture of a novel category of AI tools, with a focus on accelerating scientific discovery across various disciplines. The technical leader will focus on the end-to-end researcher experience, collaborate with internal research teams to deploy model capabilities, and take ownership of future product development.

Anthropic

Anthropic is seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Our mission is to ensure that transformative AI systems are aligned with human interests.

Anthropic

Anthropic is establishing a Forward Deployed Engineering team to assist major organizations in adopting Claude for transformative, safe, and enduring applications. This team embeds Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) with strategic clients to deploy AI applications that address significant business challenges. The TDLs manage the client engagement from start to finish, while FDEs focus on the technical aspects. As the Manager of Technical Deployment for Financial Services, you will oversee the health of engagement portfolios within this sector. You will define delivery quality standards, develop scalable playbooks, and create evaluation frameworks. Your contributions will significantly shape Anthropic's product strategy and solidify its position as a leading partner for AI transformation among Fortune 100 companies. This is a player-coach role requiring both technical credibility in architectural discussions and comfort in executive sales conversations. You will lead the most critical engagements personally when necessary, but your primary impact will be through hiring, developing, and setting high standards for your team. While you won't write production code, you will rigorously assess the technical decisions made by your TDL team.

$25k - $50k

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide, managing the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team's dual mandate is to maximize compute efficiency for explosive customer growth while enabling breakthrough research by providing scientists with high-performance inference infrastructure for next-generation models. This involves tackling complex, distributed systems challenges across multiple accelerator families and emerging AI hardware on various cloud platforms.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial for society. The Interpretability team focuses on understanding the inner workings of trained models and applying techniques to enhance AI safety. This role is an early hire on a new infrastructure effort within the Interpretability team, focused on defining and building the systems that enable secure, private, and low-friction access to frontier models for researchers. The work involves designing and implementing solutions across security, privacy, data and compute management, and developer experience to support cutting-edge AI research and its application to safety decisions.

Anthropic

As an Applied AI team member focused on cybersecurity, you will collaborate with enterprise account teams to assist the world's largest organizations in leveraging Claude for securing their systems and software. You will combine deep security expertise with customer-facing skills to guide clients through their cybersecurity journey with Claude, regardless of their current stage or future aspirations. You'll meet customers where they are, identify opportunities for Claude to perform meaningful security tasks, and guide them from initial pilots to sustained production workloads. You will also help security leaders articulate the value of this work to their executives.

Anthropic

This role offers the opportunity to help shape how Anthropic communicates about its approach to developing secure AI systems and products, its work to uphold its Responsible Scaling Policy framework, and its unique corporate structure that keeps the company accountable to its mission. You will partner closely with security, product, legal, governance, and Responsible Scaling Policy (RSP) teams to communicate Anthropic's approach to building safe and secure AI models. You will also help lead communications about how Anthropic is governed, including the role of the Long-Term Benefit Trust's independent trustees and its public benefit corporation charter. As governments establish regulatory frameworks for frontier AI, you will help articulate Anthropic's transparency obligations and public reporting commitments, translating evolving requirements into clear, credible external communications. This role requires strong communications fundamentals to navigate novel issues in a fast-moving field.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Safeguards team is crucial in ensuring our models and products are developed and deployed safely. We are seeking an Engineering Manager to lead the Review Tooling team. This team develops the systems that both humans and AI, like Claude, use to investigate potential harms and take enforcement actions across Anthropic's products and third-party platforms. This is a foundational role where you will own the tools that safety investigators rely on, including analytics, privacy-preserving primitives, and a sandbox for rapid iteration. You will also drive the scaling of review through automation, integrating Claude to extend human reviewer capabilities while ensuring human judgment remains central where needed. Close collaboration with policy, operations, data science, and legal teams is essential to ensure effective, accurate, and trustworthy enforcement systems.

Anthropic

Anthropic is seeking Software Engineers to join its Observability team within the Infrastructure organization. This team is responsible for the monitoring and telemetry infrastructure used by all engineers and researchers at Anthropic, encompassing metrics, logging pipelines, distributed tracing, profiling, error analytics, alerting, and actionable dashboards. As Anthropic's infrastructure scales across massive GPU, TPU, and Trainium clusters, the complexity of operational data is increasing significantly. The team is building next-generation observability systems, including high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing, and agentic diagnostic tools, to enable faster issue detection and resolution.

Anthropic

As a member of the Applied AI team, you will drive the adoption of frontier AI by developing bespoke LLM solutions for top enterprises across Japan. You'll leverage your customer-facing experience and technical skills to architect innovative solutions that address our customers' business needs, meet their technical requirements, and provide a high degree of reliability and safety. In collaboration with Sales, Product, and Engineering teams, you'll help enterprise partners incorporate leading-edge AI systems into their products. You will employ excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.

Anthropic

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Anthropic

As an Applied AI team member, you will be 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 it into their technology stack. You'll combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining high standards for safety and reliability. Working closely with Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment, leveraging your expertise to help them understand Claude's capabilities, develop evals, and design scalable architectures.

Anthropic

Anthropic's Safeguards organization is seeking a manager to lead the research engineering team focused on biological safety. This team is responsible for developing evaluations, datasets, and classifiers to govern how AI models handle biological knowledge, ensuring they do not contribute to catastrophic harm. The role involves leading a team of research scientists and engineers in designing and running capability evaluations, curating training data for safety classifiers, and iterating on these classifiers. The manager will set the technical direction, make investment decisions, and own the team's results, while maintaining technical depth to review designs and represent the work to various partners. The core challenge is balancing robust safeguards against sophisticated actors with enabling legitimate researchers in the life sciences.

Anthropic

Anthropic is experiencing rapid growth in its enterprise business, with increasing adoption of Claude across various product surfaces. To facilitate this, a robust foundation of security and compliance controls, identity and access management, data governance, admin controls, and cost management is essential. This is particularly crucial for customers in regulated industries like financial services, healthcare, and the public sector, where stringent security, privacy, and resilience requirements set the standard. We are seeking a Technical Program Manager to collaborate with teams responsible for these enterprise foundations. You will manage the planning and execution rhythm to ensure these capabilities are integrated across all product surfaces and contribute to a comprehensive leadership view of coverage, gaps, and progress. This is a senior role where product, engineering, and go-to-market leaders will rely on your insights regarding enterprise readiness and your plans to address any shortcomings.

Anthropic

Anthropic is seeking a Senior Manager, IT SOX to join the Internal Audit team. This role is a hands-on technical contributor responsible for executing the IT SOX compliance program, with a strong emphasis on IT General Controls, IT Application Controls, and system risk assessments. The ideal candidate is comfortable with ambiguity, thrives in a fast-paced environment, and enjoys solving complex problems. This is a high-impact opportunity to collaborate with various teams to establish a robust control environment for an AI-first company, acting as a trusted advisor on technology controls for Engineering, GRC, Security, and Finance teams as the organization scales towards pre-IPO readiness. You will bring technical depth, a focus on automation, and the ability to partner effectively with both technical teams and external auditors.

Anthropic

We are seeking Cyber Evaluations Engineers to develop and execute evaluations that assess the cyber-relevant capabilities and robustness of our AI models. In this role, you will design new evaluation methodologies, conduct per-release robustness testing, and analyze data related to jailbreaks and prompt bypasses to identify areas where our safeguards are effective and where they need improvement. You will also be responsible for designing probes to detect cyber abuse in production and collaborating with the policy team to shape the overall detection architecture.

Anthropic

Anthropic is at the forefront of AI development, making it a prime target for sophisticated adversaries. The Threat Intelligence function within the Detection & Response team is crucial for anticipating and mitigating these threats. As a Threat Intelligence Engineer, you will be a hands-on practitioner responsible for generating actionable intelligence that guides our detection strategies, threat hunts, and defensive priorities. You will track adversaries targeting frontier AI labs, develop tools and pipelines to transform raw indicators into operational defenses, and collaborate closely with detection engineers and incident responders to ensure intelligence effectively influences security outcomes. This is a high-impact, builder-oriented role within a small team, offering significant autonomy to shape the collection, analysis, and operationalization of threat intelligence at Anthropic.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. This involves managing the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators, with a dual mandate of maximizing compute efficiency for customer growth and enabling breakthrough research by providing high-performance inference infrastructure. The team tackles complex, distributed systems challenges across multiple accelerator families and emerging AI hardware on various cloud platforms.