Anthropic Jobs
320 open roles mentioning Anthropic
Warehouse and Logistics Manager - North America
Anthropic
Anthropic's Infrastructure organization is responsible for building and operating the compute that trains and serves their frontier AI models. This involves a complex physical supply chain of servers, accelerators, networking equipment, and more. The Warehousing and Logistics team owns this flow, and this role will manage its day-to-day operations in North America. You will be responsible for the operational management of inbound receiving, storage, inventory control, kitting, and outbound shipments to data center sites and partners, working with both direct and third-party logistics providers. This is a hands-on role where you will balance running daily operations with building scalable processes, controls, and metrics. You should be comfortable making decisions with incomplete information, communicating effectively with diverse teams, and maintaining a high standard for accuracy and chain of custody for high-value, security-sensitive equipment.
Warehouse and Logistics Manager - International
Anthropic
Anthropic's Infrastructure organization is responsible for building and operating the compute infrastructure that powers their frontier AI models. This involves managing a complex physical supply chain of servers, accelerators, networking equipment, and other hardware. The Warehousing and Logistics team plays a critical role in this process, ensuring that all necessary components are received, inspected, secured, tracked, and delivered to the right locations at the right time. This role will focus on managing the day-to-day operations of this supply chain outside of North America as the company expands globally.
Research Engineer, Takeoff Intel
Anthropic
Anthropic is dedicated to creating AI systems that are reliable, interpretable, and steerable, aiming for AI to be safe and beneficial for users and society. The Takeoff Intel team specifically focuses on measuring the increasing delegation of AI development to AI systems themselves. This involves designing evaluations of AI R&D capabilities, building internal telemetry to track AI-assisted model development, and developing quantitative methods to understand AI capability growth. The team's work informs internal research priorities and safety planning, as well as external reporting on AI progress. As a Research Engineer on this team, you will build and operate the evaluation and measurement instruments essential for this research, working across infrastructure, data processing, and analysis tooling with a focus on delivering impactful prototypes.
Applied AI Architect
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.
Applied AI Architect
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.
Applied AI Engineer, Enterprise
Anthropic
As an Applied AI Engineer within the Enterprise team, your role is to guide some of France's largest companies to the forefront of AI and help them deploy Claude in their operations, products, and ways of working. You will become the go-to specialist for the Claude platform and the trusted technical advisor to your clients. You will advise their engineering teams on architecture, agent design, and evaluation, and work with executives and senior leaders sponsoring these programs to demonstrate Claude's value and aid in informed adoption decisions. Enterprise engagements differ from typical transactions, involving longer procurement cycles, more stakeholders, and success contingent on linking technical work to board-level outcomes. You will be equally comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, carrying the technical thread through multi-quarter engagements.
Lead Technical Instructor
Anthropic
Anthropic is seeking a Lead Technical Instructor in New York to build and elevate its technical instruction function. This role involves delivering hands-on technical training to engineers, architects, and practitioners, both in person and remotely. A significant portion of your time will be dedicated to developing other instructors, running train-the-trainer programs, and ensuring a high, consistent standard for technical instruction across Anthropic's programs. You will be an engineer who teaches and a teacher who develops others, capable of adapting lessons on the fly and providing constructive feedback to improve teaching quality. This is not primarily an instructional design role, but requires comfort with coding, debugging, and engaging with experienced practitioners.
Head of Technical Training
Anthropic
Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As demand for understanding and utilizing Claude grows, Anthropic needs to formalize its technical instruction function. This role is the first dedicated technical instruction position, responsible for building and scaling this function. The individual will initially focus on teaching engineers, architects, and technical practitioners, and then develop the people, standards, and systems to expand instruction capabilities significantly. This player-coach role involves leading training sessions, managing a team of technical instructors, defining and certifying teaching standards, and ensuring the quality of technical instruction across various programs.
Research Engineer, Cybersecurity RL (Reinforcement Learning)
Anthropic
The Security team at Anthropic is dedicated to protecting AI systems and maintaining user trust. As a Research Engineer on this team, you will play a crucial role in advancing the capabilities of our models in areas such as secure coding, vulnerability remediation, and other defensive cybersecurity measures. This position uniquely combines research and engineering, requiring you to develop novel approaches and implement them in code. Your responsibilities will include designing and building Reinforcement Learning (RL) environments, conducting experiments and evaluations, integrating your work into production training runs, and collaborating with researchers, engineers, and cybersecurity specialists both internally and externally.
Staff Software Engineer, Model Infrastructure
Harvey
Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This is a unique opportunity to help build a generational company at an inflection point, with strong product-market fit and investor support. The team moves fast, takes ownership, and is deeply committed to the mission, valuing decisiveness, simplicity, and continuous improvement. As a Staff Software Engineer on the Model Infrastructure team, you will lead the design and development of the systems powering all AI requests at Harvey, partnering with AI Research, Product Engineering, and external model providers to build a highly reliable, scalable, observable, and efficient platform.
$231k - $340k
Senior Software Engineer, Model Infrastructure
Harvey
Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role offers a chance to help build a generational company at an inflection point, with strong product-market fit and investor support. The team moves fast, takes ownership, and is deeply committed to the mission, operating with intensity and pushing for excellence. As a Staff Software Engineer on the Model Infrastructure team, you will lead the design and development of the systems that power every AI request at Harvey, partnering closely with AI Research, Product Engineering, and Infrastructure to build a highly reliable, scalable, observable, and efficient platform.
$193k - $290k
IT Support Engineer
Anthropic
Anthropic is seeking an IT Support Engineer to join their IT Operations team. This role focuses on ensuring every employee can perform their best work without friction by providing comprehensive technical support. The IT Support Engineer will handle a variety of support challenges, primarily within a macOS environment, while also contributing to operational improvements and automation efforts. This position offers the opportunity to work closely with IT Engineering and Security teams, with potential for growth into more technical infrastructure responsibilities.
Agent Reliability Engineer, GTM Engineering
Langchain
LangChain is seeking an Agent Reliability Engineer to own the health, cost, performance, and business impact of the GTM Agent. You will build feedback loops to ensure continuous improvement and operate the agent on LangSmith, creating a reference story for enterprise customers. This role involves working across a modern tech stack to monitor production health, triage issues, and track key metrics. You will also be responsible for building business metrics to demonstrate the agent's value and developing internal monitoring and alerting systems.
$150k - $190k
Anthropic Fellows Program, AI Safety & Security
Anthropic
Anthropic is seeking talented individuals for its Fellows Program, focusing on AI Safety. This program aims to foster AI research and engineering talent by providing funding and mentorship to promising individuals, regardless of prior experience. Fellows will engage in empirical projects using external infrastructure and open-source models, with the goal of producing public outputs like research papers. The program offers a structured 4-month full-time research period, direct mentorship from Anthropic researchers, access to shared workspaces in Berkeley or London, and connections to the AI safety community. The program is designed to encourage diverse perspectives and applications, even from those who may not meet every single qualification.
$25k - $50k
Product Designer, Evals & Prompts
Anthropic
Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role is a foundational member of the Product Prompt and Eval Design team, focusing on the 'evals' side of defining Claude's behavior. You will build the systems that check prompts, the harness that runs them, and the tools that empower designers to perform this work. This position involves close collaboration with surface owners, product teams, and prompt engineering teams to ensure Claude aligns with user expectations, product strategy, and safety requirements across all product launches.
$50k - $100k
Corporate Development Lead, Life Sciences
Anthropic
Anthropic is seeking an experienced Corporate Development leader to drive strategic transactions in life sciences and biotech. This role will focus on sourcing and executing acquisitions, investments, and strategic partnerships with AI-native life sciences companies. You will partner directly with Anthropic's leadership, research, and product teams to shape our strategy in the sector, grounded in Anthropic's strategic priorities. The ideal candidate will combine deep life sciences domain knowledge with technical fluency in AI and a proven track record of closing complex transactions, understanding R&D, clinical, and regulatory workflows, and assessing targets rigorously. You will join us in shaping how AI accelerates science and medicine while ensuring it remains safe and beneficial for humanity.
Partner Manager, Global Health
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.
Staff+ Software Engineer, Safeguards Human Review Tooling
Anthropic
The Safeguards team is seeking engineers to build the Review Tooling team, which develops systems used by humans and AI to investigate potential harms and take enforcement actions across Anthropic's products and cloud platforms. This foundational role involves owning the tools safety investigators rely on, including analytics, privacy-preserving primitives, and a sandbox environment for rapid iteration. You will also drive the scaling of review through automation, enabling AI to augment human capabilities while keeping human judgment central where it matters most. The speed, clarity, and reliability of this tooling are critical for identifying harmful behavior, making sound enforcement decisions, and feeding signal back into model training. You will collaborate closely with policy, operations, data science, legal, and privacy teams to ensure effective, accurate, and trustworthy enforcement systems.
Staff+ Site Reliability Engineer, Safeguards ML Infra
Anthropic
The Safeguards ML Infra team is responsible for designing, building, and operating the production infrastructure that ensures the safety of Claude's AI systems. This role is central to ensuring safeguards are correctly configured and deployed for model launches and managing the rollout of new safety classifiers. You will be responsible for verifying that the correct safeguards are active across all platforms, detecting and resolving configuration drift, and automating manual processes to improve efficiency and reliability. The team plays a critical role in every frontier model release, owning the operational aspects of deploying and verifying safety measures across various platforms and leading incident response when issues arise.
Applied AI, Research Engineer
Anthropic
As an Applied AI Research Engineer, you will explore the capabilities of Anthropic's models and products, validate them with real customers, and empower the Applied AI team to effectively sell and deliver these solutions. You will work closely with product teams to gain in-depth knowledge of developing capabilities and act as a crucial feedback loop, relaying field insights back to Product and Research to ensure future development aligns with customer needs. This role involves collaborating with Sales, Product, and Research teams, bridging the gap between product development and customer adoption. You will manage the technical go-to-market strategy for model and product launches, including testing new models, creating demonstrations and evaluations, and preparing field teams. When strategic customers encounter unique challenges, you will provide hands-on solutions. You will also synthesize learnings from customer interactions and product usage to inform the product roadmap, working with Product, Engineering, and Research to identify what is effective, what is not, and what is most important.