Find your next AI Engineering role

Anthropic

As a Full-Stack Software Engineer in Reinforcement Learning (RL), you will be instrumental in building the platforms, tools, and interfaces essential for environment creation, data collection, and training observability. Your work will directly impact the quality of data used to train Anthropic's next-generation AI models. You will own product surfaces from end-to-end, encompassing backend services, APIs, and web UIs used by researchers, external vendors, and data labelers. The role emphasizes shipping polished, reliable products quickly, even when faced with ambiguous, high-stakes problems. This team operates at a rapid pace, focusing on judgment and taste to meet researcher needs, iterating on data collection strategies to distill expert knowledge into models within short feedback loops.

Anthropic

Anthropic is seeking several Product Operations Managers to embed within its core product teams, contributing to key components of its AI stack. The Product Operations team acts as the connective tissue between Research, Product, and the market, shortening the distance between AI capabilities and user adoption. In this role, you will manage launch readiness, run early access programs, and triage customer feedback. You will also build systems to enable faster product shipping and learning, leveraging Claude to fill gaps and deliver significant value.

Anthropic

Anthropic is seeking experienced full-stack engineers to join teams focused on current and emergent AI products. You will be a technical leader, taking end-to-end ownership of the user experience for products like Claude.ai, the Anthropic API, and enterprise deployments. This role involves partnering with product leaders, designers, and researchers to translate new model capabilities into user-facing features. You will own technical quality across the stack, including performance, accessibility, reliability, and developer experience, with the goal of scaling solutions to millions of global users. The teams are focused on various areas including developer tools, beneficial deployments for non-profits and educational institutions, vertical AI products for finance and life sciences, enterprise AI solutions, and public sector applications.

Anthropic

Anthropic's Product Engineering organization is seeking experienced full-stack engineers to lead teams focused on current and emergent products. You will be a technical leader responsible for the end-to-end user experience across various platforms like Claude.ai, the Anthropic API, and enterprise deployments. This role involves partnering with product leaders, designers, and researchers to translate new AI capabilities into user-facing products, with a focus on technical quality, scalability, and a passion for AI's potential.

Anthropic

Anthropic is seeking an experienced Global Senior Equity Program Manager to oversee and manage the company's equity compensation strategy and operations across all global markets. This role is crucial for designing, implementing, and managing comprehensive equity programs aimed at attracting, retaining, and motivating top talent, while aligning with the company's mission to develop safe and beneficial AI systems. The position involves close collaboration with People, Legal, Finance, and Tax teams to ensure programs are competitive, compliant, and reflect the company's values. As Anthropic expands internationally, this role will be instrumental in building equity frameworks that support global growth and maintain consistency with the overall compensation philosophy, offering a unique opportunity to shape equity compensation practices during a significant growth phase.

Anthropic

Anthropic is seeking experienced backend and distributed systems engineers to join the Agentic Systems team. This team builds Claude Managed Agents, a hosted platform for creating, running, and scaling production agents on Claude. The platform provides essential functionalities like agent loops, sandboxed execution, state management, credential handling, and error recovery, exposed through stable APIs. This role involves driving new features from ideation to general availability, owning systems end-to-end, and collaborating with product, research, developer experience, and go-to-market teams. The ideal candidate will be comfortable tackling complex distributed systems challenges, have a strong product sense for API design, and be motivated by transforming ambiguous ideas into high-quality platform capabilities.

Anthropic

The Auth & Identity team at Anthropic builds the core authentication, authorization, and identity platform that powers all Anthropic products, including the API, Claude Code, Claude.ai, and enterprise offerings. This platform handles every login, API key, OAuth token, access decision, and organization record. As Claude evolves into an agentic platform, this team is defining the future of identity and access for human users, service accounts, and autonomous agents acting on behalf of users. The role involves owning critical, high-traffic systems end-to-end, from design to iteration, and shaping the technical strategy for identity and access across Anthropic. This includes designing credentials for agents, routing access decisions through a unified authorization system, building a first-class identity model for service accounts and agents, ensuring global distribution and multi-region resilience, and deepening enterprise integrations.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role is at the intersection of systems engineering and security, focusing on the secure execution environment for Claude's agentic capabilities. The team owns the infrastructure that enables Claude to write code, browse the web, and use a computer, ensuring untrusted code execution is safe, fast, and reliable at scale for all Anthropic products. The goal is to create a seamless experience for product teams by providing a robust layer between the model and the outside world.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Connectivity team is focused on making Claude the most connected AI, defining how agents safely access external systems with the right permissions for enterprise trust. This involves shipping standards and services for various Anthropic products, owning the MCP proxy for tool call routing, and managing OAuth and token authentication. The team is also a core contributor to the MCP spec and maintains official Python and TypeScript SDKs. We are seeking experienced software engineers to join this team, which spans San Francisco and London, to work on critical reliability and enterprise trust challenges, including large-scale OAuth, admin controls for agent permissions, and robust proxy infrastructure.

Anthropic

Anthropic is seeking experienced software engineers to join its Platform organization. This team builds the foundational primitives that accelerate product development and owns the infrastructure and systems that enable reliable, scaled product shipping for internal and external users. You will independently scope complex, multi-month projects, drive cross-organizational alignment, and make architectural decisions that shape how Anthropic builds and scales its products. You will partner directly with research to productize cutting-edge capabilities, impacting the platform used by hundreds of thousands of companies and engineers daily.

Anthropic

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the RL Teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.6 and Opus 4.6. Our work spans several key areas: - Developing systems that enable models to use computers effectively - Advancing code generation through reinforcement learning - Pioneering fundamental RL research for large language models - Building scalable RL infrastructure and training methodologies - Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to safely write correct, fast code for accelerators. You'll need to know accelerator performance well to turn it into tasks and signals models can learn from. Specifically, you will: - Invent, design and implement RL environments and evaluations. - Conduct experiments and shape our research roadmap. - Deliver your work into training runs. - Collaborate with other researchers, engineers, and performance engineering specialists across and outside Anthropic. You may be a good fit if you: - Have expertise with accelerators (CUDA, ROCm, Triton, Pallas), ML framework programming (JAX or PyTorch). - Have worked across the stack – kernels, model code, distributed systems. - Know how to balance research exploration with engineering implementation. - Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have: - Experience with reinforcement learning. - Experience porting ML workloads between different types of accelerators. - Familiarity with LLM training methodologies. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000—$850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Anthropic

As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop scenario-based forecasting tools to quantitatively reason about economic trajectories with no historical precedent. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously. You will ground projections in microeconomic signals from the Anthropic Economic Index, using usage patterns across millions of real-world AI interactions surfaced through privacy-preserving measurement, so that scenario forecasts are disciplined by observed task transformation and productivity. You will use frontier methods in growth theory, computational macro, and structural estimation, and contribute to AI-powered tools that expand what economic research can do.

Anthropic

Anthropic is building safe and beneficial AI systems, and the Billing Platform is critical to funding this mission by managing all commercial revenue. This role involves building and operating the infrastructure that processes product usage into revenue for services like Claude.ai and the Developer Platform. You will work on systems that handle pricing, charging, and revenue accounting, ensuring correctness and scalability. This is a production-critical role requiring close collaboration with Finance, Product, Sales, and Accounting teams to build robust financial infrastructure.

Anthropic

Anthropic's Platform Org is dedicated to empowering builders through AI. Our vision is to establish the premier platform for businesses seeking to transform themselves and their products with AI. This organization is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure, serving a diverse user base from startups to large enterprises. The platform team focuses on three key areas: enterprise fabric for multi-cloud integrations at scale, frontier capabilities for advanced developer experiences, and agentic platform for next-generation agentic infrastructure and products.

Anthropic

Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions. This is a high-agency role that spans all API Engineering teams, including API Core, API Capabilities, API Knowledge, API Distributability, and API Agents.

Anthropic

Anthropic is making significant, sustained investment in compute infrastructure to support its AI safety mission. The company is seeking an Infrastructure Tax Lead to manage tax end-to-end across this portfolio. This role will be integrated with the Infrastructure team, involved from the initial deal flow, and will coordinate with various departments including Legal, Technical Accounting, FP&A, International Tax, Transfer Pricing, Provision, and Incentives. The Infrastructure Tax Lead will be responsible for shaping deals from a tax perspective, leading incentive workstreams, and ensuring tax implications are accurately reflected in economic analyses and deal approvals.

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 building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Security Engineering team is crucial in protecting these AI systems and maintaining user trust. This role involves owning and contributing to key areas such as identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will have the opportunity to define architecture in largely greenfield work, collaborating closely with various teams to ensure the security and integrity of Anthropic's AI development and deployment processes.

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

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 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

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 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

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

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

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

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 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

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 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

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

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

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

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.

Anthropic

The Cybersecurity RL team within Anthropic is seeking a Research Engineer to advance the capabilities of AI models in secure coding, vulnerability remediation, and defensive cybersecurity. This role combines research and engineering, requiring the design and implementation of RL environments, conducting experiments, delivering work into production training runs, and collaborating with cross-functional teams. The ideal candidate will have domain expertise in cybersecurity and an interest or experience in training safe AI models, potentially coming from backgrounds like white hat hacking, security engineering, or detection and response.

Anthropic

As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly 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. This is a founding team role where you will help build technical playbooks and define processes for scaling this emerging motion. You will champion our mission, ensure world-class delivery, and bring insights back to our product and research teams. You'll own engagements end-to-end, from SOW through production deployment, working alongside Forward Deployed Engineers while owning product scoping, stakeholder management, value measurement, and the organizational complexity of deploying AI agents in enterprise environments. You need to be technical enough for architecture conversations and polished enough for executive briefings.

$25k - $50k

Anthropic

As an Economist at Anthropic, you will play a crucial role in measuring and understanding the profound effects of AI on the global economy. You will lead the development of the Anthropic Economic Index, establishing innovative methodologies to track AI's usage, diffusion, and impact using privacy-preserving tools and unique data sources. This role requires applying frontier methods in econometrics, machine learning, and structural estimation to drive significant impact, influencing both external policy discussions and Anthropic's internal business and product strategies. Our team focuses on rigorous empirical methods and novel measurement approaches, building datasets that analyze AI's influence on labor markets, productivity, and economic transformation.

Anthropic

Anthropic is seeking an Engineering Manager to lead their Review Tooling team, which is responsible for building systems that help humans and AI investigate potential harms and take enforcement actions across Anthropic's products. This foundational role involves owning the tools safety investigators rely on, including analytics, privacy-preserving primitives, and a sandbox environment for rapid iteration. The manager will also drive the strategy for scaling review through automation, enabling Claude to extend human reviewer capabilities while keeping people in the loop for critical judgment. This position requires close collaboration with policy, operations, data science, and legal teams to ensure effective, accurate, and trustworthy enforcement systems.