Find your next AI Engineering role

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.

Clay is seeking a Manager, GTM Engineering - Seller Efficiency to build and lead a team dedicated to making our sales operations faster, smarter, and more effective. This role involves managing a team of GTM Engineers while remaining hands-on with complex technical challenges, setting strategic direction, and ensuring all automations measurably enhance sales processes. You will collaborate closely with the Head of Sales to transform intricate business problems into sophisticated technical solutions and foster the development of engineers who approach challenges as builders rather than order-takers.

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.

Anthropic

Anthropic is seeking a Regulatory Counsel to lead our legal work on AI regulation in the United States and to support our global AI regulatory posture. In this role, you will be an in-house regulatory lawyer for Anthropic's US AI regulation and a key contributor to our global frontier AI compliance strategy. You will provide regulatory-readiness counseling as new laws are developed, day-to-day advice once they are in force, and legal support for Anthropic's non-contentious engagement with US regulators and standards bodies. While the role is US-focused, AI regulation is inherently global, and you will help ensure a consistent worldwide compliance posture, coordinate closely with colleagues leading our EU and international workstreams, and contribute to EU AI Act and other international work where it overlaps with your areas. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, cross-functionally with Legal, Compliance, Safeguards, Security, Policy, Research, and product teams.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. This role focuses on managing Anthropic's model safeguards, fraud defenses, and compliance posture across major cloud partners like Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. You will own the strategy and roadmap for how these critical aspects are integrated and presented on third-party distribution platforms, ensuring a consistent and secure experience for enterprise customers.

Anthropic

As a Technical Deployment Lead on the Forward Deployed Engineering team, you will lead the delivery of custom AI agent solutions for enterprise customers in regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes, from SOW through production deployment. You will work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to navigate architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors. Additionally, you will help build playbooks and define processes for scaling this emerging motion, championing Anthropic's mission and bringing field insights back to product and research teams.

$25k - $50k

Anthropic

Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends.

Anthropic

The IT Operations team at Anthropic is seeking an IT Support Engineer to ensure every employee can do their best work without friction. As Anthropic grows rapidly, this role will be crucial in scaling IT operations, onboarding new employees, automating repetitive processes, and continuously improving the employee experience. You will handle support challenges primarily within a macOS environment, contributing to operational improvements and working closely with IT Engineering and Security teams. This position offers opportunities to grow into more technical infrastructure work over time.

Anthropic

As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's economic effects and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index, establish new methodologies to measure AI's usage, diffusion, and impact, and broaden access to the insights generated. This role involves using frontier methods in econometrics, machine learning, and structural estimation to drive impact and inform both external policy discussions and Anthropic's internal business and product decisions. The team combines rigorous empirical methods with novel measurement approaches, building datasets that track AI's impact on labor markets, productivity, and economic transformation using a privacy-preserving measurement system.

Anthropic

Anthropic is seeking an AWS Partnerships Lead to spearhead and expand our AWS co-sell strategy throughout Southern Europe. This is a unique opportunity to establish the commercial collaboration model between Anthropic and AWS in the region from the ground up. You will represent Anthropic to AWS sales teams in Southern Europe, develop joint opportunity pipelines, lead co-selling efforts with enterprise clients, and shape how cutting-edge AI technology reaches the market through one of our most strategic partnerships. This role is ideal for someone who thrives in ambiguity, possesses a strong background in cloud partnerships, and is eager to contribute to the safe and responsible commercialization of advanced AI.

Anthropic

As a Forward Deployed Engineer (FDE) on the Applied AI team, you will embed directly with strategic customers to drive the adoption of transformational AI. You will collaborate closely with customer teams to ship advanced AI applications that solve real-world business problems, accelerating the adoption of existing products and creating new applications built on Anthropic's models. This role combines engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand workflows and develop innovative solutions for complex business challenges, while upholding high standards for safety and reliability. You will be at the forefront of enterprise AI deployments and play a key role in championing Anthropic's mission within client organizations.

$25k - $50k

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. As an Applied AI Architect on the Partnerships team, you will serve as a pre-sales architect, cultivating technical relationships with Global and Regional System Integrators (GSIs/RSIs) and cloud partners like AWS and GCP. Your role will be crucial in strengthening these partnerships to accelerate indirect revenue, enable their AI practices, and execute long-term go-to-market strategies.

Anthropic

The Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. This role involves 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 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

As an Applied AI Engineer on our Enterprise team, you will guide major German businesses in adopting cutting-edge AI, specifically deploying Claude into their operations and products. You will serve as the primary Claude Platform specialist and trusted technical advisor, assisting customer engineering teams with architecture, agent design, and evaluation. Simultaneously, you will engage with C-level executives to demonstrate Claude's business value and facilitate confident adoption decisions. This role requires navigating complex, multi-stakeholder enterprise sales cycles, connecting technical work to boardroom-level outcomes, and presenting compelling value cases to CIOs and CTOs. Fluency in German is essential for daily interactions with German executives and engineering teams.

Anthropic

As a Forward Deployed Engineer (FDE) on the Applied AI team, you will embed directly with Anthropic's most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real-world business problems, accelerating the adoption of existing products and creating new applications built on our models. Working with Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to develop innovative solutions for complex business challenges while maintaining high standards for safety and reliability. You will operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments, playing a key role in championing our mission in the enterprise.

$25k - $50k

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

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

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 responsible for developing policies, evaluations, and enforcement systems to define and manage the limits of Claude's usage. In this leadership role, you will manage the policy design team, overseeing areas such as radicalization, child safety, user well-being, harmful manipulation, and election integrity. Your team will focus on understanding and defining the risks associated with Claude, how they manifest in the real world, and the necessary mitigations. You will collaborate with research, product, and engineering teams to establish boundaries and implement interventions, ensuring safety measures evolve with model capabilities and user behaviors. This role requires a blend of expertise in harm areas and an understanding of frontier AI model development and deployment, with a strong emphasis on cross-functional collaboration and team development.

Anthropic

As a Business Systems Analyst on Anthropic's BizTech team, you will play a crucial role in bridging the gap between business needs and technical solutions. You will translate complex business requirements into technical specifications and architectural decisions, ensuring engineering teams build solutions that scale with our rapid growth. You will work closely with stakeholders across the organization to understand their requirements, configure systems, and ensure our business technology ecosystem operates efficiently and effectively. This role combines analytical thinking with technical expertise to design, implement, and maintain systems that drive operational excellence. You will be responsible for analyzing business processes, gathering requirements, and translating them into technical solutions. As we continue to scale rapidly, you will help ensure our systems and processes evolve to meet the growing demands of our organization while maintaining the high standards of efficiency and reliability that Anthropic requires.

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 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

Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship for claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. We're looking for an experienced engineering leader to lead a team of Connectivity engineers based in London. The Connectivity team spans San Francisco and London, and you'll work closely with engineering leadership and partner teams in San Francisco to set direction and deliver together across both sites. You'll lead a team working on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that stays up when partner servers don't.

Anthropic

As a Regional Research Economist, you will collaborate with governments, academia, industry, and civil society to measure and understand AI's economic effects and explore policy interventions. You will contribute to the Anthropic Economic Index, developing new methodologies to assess AI's usage, diffusion, and impact, and broadening access to these insights. This role involves using advanced econometrics, machine learning, and structural estimation to drive impact on policy discussions and inform Anthropic's business and product strategies. The team focuses on rigorous empirical methods and novel measurement approaches, building datasets to track AI's impact on labor markets, productivity, and economic transformation using a privacy-preserving system to analyze real-world AI interactions.

Anthropic

Anthropic is seeking a Research Engineer to join its Pretraining team, focusing on developing the next generation of large language models. This role operates at the intersection of cutting-edge research and practical engineering, aiming to build safe, steerable, and trustworthy AI systems. The mission is to ensure that transformative AI systems are aligned with human interests and are beneficial for society. The team is dedicated to pushing the boundaries of AI while prioritizing safety and ethics.

Anthropic

As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.

Anthropic

Anthropic's ML Performance and Scaling team is responsible for training our production pretrained models, a critical function that directly shapes the company's future and its mission to build safe, beneficial AI systems. As a Research Engineer on this team, you will ensure our frontier models train reliably, efficiently, and at scale. This demanding, high-impact role requires deep technical expertise and a passion for large-scale ML systems, operating at the boundary between research and engineering. You will work across the entire production training stack, including performance optimization, hardware debugging, experimental design, and launch coordination, responding to critical production issues during launches.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial for society. As a Research Engineer on the Alignment Science team in London, you will design and execute machine learning experiments to understand and steer the behavior of advanced AI systems. You will focus on AI safety, particularly risks from future human-level AI systems, collaborating with teams like Interpretability and Frontier Red Team. The role involves exploratory research in areas such as AI Control and Alignment Stress-testing, aiming to make AI helpful, honest, and harmless.

Anthropic

AI Reliability Engineering (AIRE) partners with teams across Anthropic to improve reliability across our most critical serving paths, from SDKs through our network, API layers, serving infrastructure, and accelerators. This role involves jumping into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, whether during an incident or collaborating on projects. Reliability is viewed as an emergent phenomenon that transcends single team boundaries, requiring a holistic perspective across the entire system.

Anthropic

Anthropic is seeking software engineers to build foundational systems for AI safety, oversight, and intervention mechanisms. In this role, you will focus on monitoring models, preventing misuse, and ensuring user well-being by developing systems to detect unwanted model behaviors and disallowed use cases. You will apply your technical expertise to uphold principles of safety, transparency, and oversight, contributing to the development of reliable, interpretable, and steerable AI systems.

Anthropic

AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths, from the SDK through our network, API layers, serving infrastructure, and accelerators. This role involves jumping into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, requiring someone to zoom out and look at the whole picture, offering dynamic, cross-cutting exposure to the systems that matter most.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Anthropic

Anthropic is seeking an experienced VAT/GST professional to join its growing Tax team in Dublin. This role will manage and advise on all indirect tax matters outside the United States, covering Europe, the UK, APAC, and other international markets. You will collaborate with the Global Indirect Tax team, compliance Lead, and the broader tax team to develop and execute the international VAT/GST strategy as AI products scale globally. This is an opportunity to build out the international indirect tax function from the ground up, partnering cross-functionally with Finance, Accounting, Legal, Product, and Go-to-Market teams to integrate tax considerations into global operations.