Anthropic

Anthropic

The People Products team at Anthropic is dedicated to supporting the company's mission by shaping the future of AI in the workplace. This involves optimizing hiring processes, enhancing manager effectiveness, facilitating successful onboarding, and applying first-principles thinking to Anthropic's culture through built tools. The team covers the entire employee lifecycle, from recruitment to promotions. In this role, you will work directly with Claude, leveraging unique internal capabilities to tackle unsolved problems. You will operate in a fast-paced environment, moving from prototype to production within days or weeks. We seek individuals who can think cross-functionally across product, design, and engineering, and who thrive with high autonomy, ownership, and consistent shipping. If you are passionate about fixing flawed people practices within a leading AI company, this is an exceptional opportunity.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As a Product Manager for the Research team, you will be responsible for the ideation and deployment of new models and products, working closely with research teams to productize applied research and identify customer-driven use cases. We are looking for individuals passionate about developing safe and beneficial AI technologies, who thrive in ambiguous environments and can uncover non-obvious use cases for nascent technologies, connecting advanced technology to products that deliver real-world value. The ideal candidate will bridge research and ambitious product experimentation, with the ability to create and grow new product categories enabled by AI.

Anthropic

Anthropic is seeking an Applied AI Claude Evangelist to represent the company within the startup ecosystem. This role focuses on increasing awareness and driving adoption of the Claude Developer Platform among founders and their technical teams. You will be instrumental in engaging the startup developer community, guiding them through onboarding and encouraging active building on Anthropic's platform. This position blends startup ecosystem development with hands-on technical activation, working closely with the Startups Go-To-Market team to convert relationships with VCs, accelerators, and founder communities into active developers.

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 seeking talented and experienced Staff+ Software Engineers to join the Developer Acceleration team within the Developer Productivity organization. This team is responsible for the infrastructure that enables thousands of employees to be productive via agents, directly impacting the velocity and quality of Anthropic's research and engineering development. You will define how AI transforms work and build the future of agentic productivity, owning areas like the Agent Runtime Platform and Knowledge systems for providing context to agents and humans.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The AI Reliability Engineering (AIRE) team partners with other teams across Anthropic to enhance the reliability of critical serving paths, from SDKs through API layers, serving infrastructure, and accelerators. This role offers a unique, cross-cutting exposure to the most important systems at Anthropic, requiring a holistic view of system composition and reliability.

Anthropic

Anthropic's Infrastructure organization is the engine that powers our mission, building and operating massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms. As a Technical Program Manager for Infrastructure, you will coordinate complex programs with broad organizational impact, solving novel scaling challenges while maintaining security and reliability. This role is ideal for someone who thrives in ambiguity, makes others more effective, and partners closely with engineering leadership to drive strategic initiatives and ensure seamless coordination between research, engineering, and product teams.

Anthropic

Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production, including classifiers, detection pipelines, evaluation platforms, and monitoring systems. This infrastructure must be reliable, as failures in safety-critical pipelines can have serious and often invisible consequences. As a Technical Program Manager for Safeguards Infrastructure and Evals, you will own the operational health and progress of this stack. Your main focus will be driving reliability through incident response, post-mortem processes, ensuring Service Level Objectives (SLOs) are met, and managing platform investments like migrations and evaluation platform improvements.

Anthropic

Education Labs builds paradigms to help people become genuinely more capable. This role is a blend of researcher, product builder, and interaction designer, focused on studying how AI transforms human capability and shipping features based on discoveries. You will have significant creative license to define "good" experiences, exploring new interaction patterns rather than optimizing existing ones. The focus is on experiences that make users progressively more capable, curious, and empowered over time, integrating skill development into product design and measuring success by user growth. You will operate as a one-person technical shop, prototyping ideas, establishing technical direction, and shipping production-quality features to millions of users, requiring strong product instincts and clean interface design sensibilities balanced with comfort in ambiguity and frontier thinking.

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 is seeking a Senior Partner Account Manager (PAM) to manage relationships with one to two of the world's largest global systems integrators. This role involves setting multi-year joint strategies with partner C-suites, negotiating strategic agreements, and building the go-to-market, solution co-development, delivery readiness, and enablement necessary to establish Claude as a major practice for the partner. Success will be measured by the growth and health of the joint business, including progress against a significant Claude practice plan, Anthropic ARR sourced through the partner, certified practitioners, co-developed solutions, and executive alignment.

Anthropic

Anthropic is seeking a Commercial Counsel, GTM to join their legal team and play a key role in bringing cutting-edge AI technology to users, researchers, and enterprises globally. This position involves close collaboration with experienced colleagues, focusing on supporting Go-to-Market teams, managing enterprise agreements, and handling customer negotiations. The role also offers exposure to commercial work such as research collaborations, product partnerships, and procurement, as well as opportunities to engage with AI safety and research agreements, including threat-sharing frameworks and responsible AI development standards. This is an ideal opportunity for a motivated attorney to deepen their expertise in commercial transactions while contributing to responsible AI development.

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.

Anthropic

Anthropic is seeking a Threat Collections Engineer to join its Threat Intelligence team. This foundational engineering role involves building the infrastructure critical for threat discovery. You will integrate external data sources, develop automated detection systems for lead generation, and create internal tooling to enhance investigator impact. The position offers the opportunity to take projects from initial concept through to production, collaborating closely with investigators to understand their needs and scale the collections function.

Anthropic

Anthropic is seeking a Technical CBRN-E Threat Investigator to join its Threat Intelligence team. This role focuses on detecting, investigating, and disrupting the misuse of Anthropic's AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats. The position requires deep expertise in areas like chemical or biodefense, operating at the intersection of AI safety and CBRN security. You will conduct investigations into potential misuse, develop new detection techniques, and build defenses against threat actors seeking to leverage AI for harmful purposes. This role may involve exposure to sensitive content and require responding to escalations during weekends and holidays.

Anthropic

Anthropic is seeking a Technical Cyber Threat Investigator to join its Threat Intelligence team. This role is crucial for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. You will operate at the intersection of AI safety and cybersecurity, developing novel detection techniques and building defenses against emerging AI-enabled cyber threats. Your work will directly contribute to protecting the broader ecosystem from sophisticated threat actors leveraging AI for harm. Please note, this role may involve exposure to sensitive content and require responding to escalations during weekends and holidays.

Anthropic

Claude App Infrastructure owns the reliability, experience, and agentic capabilities of claude.ai. We are the platform team for Anthropic's flagship consumer product, responsible for the serving architecture that keeps Claude available at scale, the conversation experience, and the infrastructure that allows product teams to ship into claude.ai safely and quickly. We are building the agentic layer that transforms claude.ai from a chat surface into an execution surface, enabling task execution, personalization, browser use, and server-side tools. Our goal is to build systems that ensure both reliability and velocity.

$181k - $198k

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As a Safeguards Biological Safety Research Scientist, you will apply your technical skills to design and develop safety systems that detect harmful AI behaviors and prevent misuse by sophisticated threat actors. This role is at the forefront of defining responsible AI safety in the biological domain, translating complex biosecurity concepts into technical safeguards and balancing AI's potential for life sciences research with preventing misuse.

Anthropic

As a Research Engineer on the Economic Research Data Platform team, you will design, build, and maintain critical infrastructure that powers Anthropic's research on AI's economic impact. You will work with data systems from across Anthropic, including our research tools for privacy-preserving analysis. The Economic Research team studies the economic implications of AI on individual, firm, and economy-wide outcomes, building scalable systems to monitor AI usage patterns and measure the impact of AI adoption on real-world outcomes. You will collaborate closely with teams across Anthropic, including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy, to build scalable and robust data systems supporting high-leverage, high-impact research.

Anthropic

The Universes team within Research is responsible for training AI models to perform complex, difficult, long-horizon agentic tasks in ultra-realistic settings. We design and implement novel training environments that go far beyond what models can do today — environments where models learn to navigate ambiguity, handle interruptions, maintain context over extended interactions, and exercise judgment in open-ended scenarios. We're looking for Research Engineers to help us build the next generation of training environments for capable and safe agentic AI. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to research direction. You'll work on fundamental research in reinforcement learning, designing training environments and methodologies that push the state of the art, and building evaluations that measure genuine capability.