Anthropic

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.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role leads a team of ML platform, infrastructure, and distributed-systems engineers responsible for the critical control plane that manages Anthropic's inference fleet. This involves making key decisions about request routing, capacity allocation, and system performance to meet throughput, reliability, and latency constraints. The team designs placement and load-balancing algorithms, builds quantitative models for demand and capacity, and optimizes latency across various system boundaries. The Engineering Manager will own the technical roadmap, drive quantitative modeling habits, set technical strategy for evolving the control plane, and ensure the operational health of the inference request path.

Anthropic

Anthropic is seeking a BDR Enablement Lead to develop the curriculum and craft for their business development organization. This role is crucial in shaping how new BDRs, many of whom are in their first serious sales role, learn and grow. You will be responsible for onboarding, sales foundations, ongoing skill development, and creating pipeline generation playbooks. A unique aspect of this position is the opportunity to make Anthropic's BDRs the most AI-native prospecting team in the industry by building workflows that leverage plugins, account research skills, and agentic tooling to enhance productivity. The ideal candidate is passionate about the art of prospecting and eager to reimagine it with the possibilities of AI.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems, believing that powerful AI can accelerate scientific progress. Claude Science is an AI workbench designed to provide researchers with a unified environment for tasks that currently span numerous disconnected tools, including literature review, specialized database access, scientific computing, analysis, and publication preparation. It already supports native rendering of protein structures, genome tracks, and chemical structures, and coordinates multi-agent workflows with built-in error checking for citations and calculations. The team is expanding the Claude Science product group, seeking individuals to own significant roadmap areas end-to-end, such as expanding into new scientific fields, integrating new model capabilities with researchers, or preparing the workbench for enterprise R&D. This role involves direct engagement with researchers in academic labs, biotech, and pharma R&D to understand scientific workflows from hypothesis to publication, translating these insights into product features. Collaboration with research teams will focus on enhancing the models' scientific capabilities, identifying target fields and workflows, and ensuring Claude Science is trusted in enterprise and regulated research settings.

Anthropic

As an Applied AI team member, you will serve as a pre-sales architect, acting as a trusted technical advisor to large enterprises. Your role involves helping them understand the value of Claude and envisioning how to integrate and deploy it into their technology stacks. You will combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while upholding high standards for safety and reliability. Working closely with Sales, Product, and Engineering teams, you will guide customers from initial technical discovery through successful deployment, leveraging your expertise to help them understand Claude's capabilities, develop evaluations, and design scalable architectures.

Anthropic

As a Product Manager, Growth, you will play a crucial role in driving growth for Claude, a rapidly expanding AI product with millions of users. You will focus on key growth metrics such as acquisition, activation, retention, and monetization. Working within a cross-functional team of engineers, designers, marketers, and data scientists, you will develop and implement strategies to accelerate growth while upholding Anthropic's commitment to safety and beneficial AI.

Anthropic

Anthropic is seeking an experienced Revenue Systems Engineering Director to lead the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as the company scales globally. This role will serve as the technical lead for revenue systems within the ERP ecosystem, focusing on automating revenue recognition processes and integrating billing, sales, and financial systems. The ideal candidate will drive innovation, including the integration of AI for revenue operations, while ensuring system reliability and adherence to best practices.

Anthropic

As an AV Engineer based in our London office, you'll design and implement the systems that enable world-class collaboration and communication across offices in the EMEA region. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years. You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology. This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants.

Anthropic

As an AV Engineer based in our NYC office, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years. You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology. This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants.