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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 Role As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop the scenario-based forecasting tools that let us reason quantitatively 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 — usage patterns across millions of real-world AI interactions, surfaced through privacy-preserving measurement — so that scenario forecasts are disciplined by what we actually observe about 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. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system , we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Responsibilities Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation Analyze questions of income distribution and economic governance under transformative-AI scenarios Contribute to the development of AI-powered research tools for economics Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise Build and maintain relationships with academic institutions, policy think tanks, and other research partners Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders You May Be a Good Fit If You Have PhD in Economics, or an exceptional candidate close to completion Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics A research record that engages seriously with the possibility of transformative AI — you treat the scenarios in this posting as live questions worth modeling rigorously, not speculation to be hedged against Relevant experience in some of: Macroeconomic modeling and structural estimation Scenario-based and time-series forecasting Task-based approaches to technological change Computational methods, agent-based modeling, or large-scale simulation Income distribution and inequality Using large language models in the research workflow Technical skills including: Proficiency in Python, Julia, or similar for computational economics Facility with AI coding agents as part of a research workflow Comfort learning new technical tools and frameworks Demonstrated ability to: Lead research projects from conception to publication Ship on tight timelines and revise in public as new data arrives Communicate technical findings to diverse audiences Strong interest in ensuring AI development benefits humanity Some Examples of Our Recent Work Labor market impacts of AI: A new measure and early evidence Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional Information For this role, we're looking for candidates who combine rigorous macroeconomic theory with computational fluency, and who are willing to model economic scenarios that fall outside the profession's usual range. The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI. Deadline to apply: None. Applications are reviewed on a rolling basis 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: $320,000 — $405,000 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.
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 role The Anthropic Platform Org’s mission is to help builders build. Our vision is to be the premier platform for businesses to transform themselves and their products with AI. This org is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure. We serve a wide array of users from startups to large scale enterprises. The platform team is comprised of three key areas: Enterprise fabric – where we are building multi-cloud integrations at extreme scale across our entire stack to meet businesses wherever they are and in the most demanding of requirements. Frontier capabilities – where we are building developer experiences and features that enable users to get the most out of the model and build at the very frontier of intelligence. Agentic platform – where we are inventing the next generation of agentic infrastructure for production-grade use and building new products to enable businesses to solve problems with agents. Responsibilities: Customer Understanding & Advocacy Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points Run regular feedback sessions and technical reviews with key enterprise customers Build strong relationships with enterprise development teams to understand their workflows and challenges Transform customer insights into actionable product requirements and priorities Product Strategy & Vision Define and execute the enterprise API strategy, balancing security requirements with developer experience Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities Identify and prioritize key enterprise integration patterns that drive organizational value Enterprise API Development Partner with engineering to build enterprise-grade API features, security controls, and deployment tools Design and implement enterprise integration frameworks and SDKs for common enterprise systems Drive development of industry-specific API features and compliance capabilities Cross-functional Leadership Partner with sales and customer success to understand enterprise requirements and support technical evaluations Work closely with security and compliance teams to meet enterprise standards Collaborate with platform teams on API architecture and scalability Engage with marketing to develop enterprise API positioning and technical materials Minimum Qualifications You may be a good fit if you: Have built or shipped products with a hyperscaler as a partner — you know how to align goals and deliver impact across that boundary. Have owned a revenue number, a margin target, or a channel P&L — not just a product roadmap. Operate with high autonomy in ambiguous, fast-moving environments. Are an excellent written communicator and able to drive clarity out of complexity. Excel at cross-company stakeholder management and can build trusted relationships at every layer of an organization. Preferred Qualifications Strong candidates may also have: Have 10+ years of experience in high-scale, high-reliability developer-facing software. Have 5+ years of product management experience. Experience as a founder, GM, or early-stage operator where you owned commercial outcomes, not just product outputs. Direct experience as a PM at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces. 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: $305,000 — $460,000 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.
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 role Anthropic is investing $50 billion in American computing infrastructure, including datacenters custom-built for our workloads, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair. This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability. A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling. Key responsibilities Build automation to support datacenter fleets at scale. Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations). Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle. Work closely with our Networking team to ensure end-to-end connectivity across all sites. Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet. Minimum qualifications Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale. End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices. Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java). Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP). Ability to communicate clearly and build consensus with a wide range of stakeholders. Comfort navigating ambiguity and making progress on complex, cross-functional problems. Willingness to travel occasionally to datacenter sites across North America. Preferred qualifications 8+ years of experience in datacenter infrastructure management, or a closely related discipline. Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, Google TPUs, or AWS Trainium) and an understanding of their operational demands. Familiarity with modern provisioning and OS tooling such as LinuxBoot and NixOS Experience building or contributing to datacenter automation or fleet management platforms. Experience building and deploying server operating system distributions across large server fleets. Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider. Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area. 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: $320,000 — $405,000 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.
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 Role As a Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic's compute infrastructure running efficiently at scale. Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams. The exact focus will depend on your strengths and the team's evolving needs. You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment. Responsibilities: Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity You may be a good fit if you: Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements Have experience working with research or ML teams and translating their needs into operational plans and technical requirements Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership Have a track record of building trust with engineering teams and driving changes through influence rather than authority Strong candidates may also have: Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers) Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments Deadline to Apply: None, applications will be received on a rolling basis. 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: $290,000 — $365,000 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.
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 role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities: Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. Ability to write safety evals and communicate externally about safety. Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. Evidence of exercising judgment and decision making in ambiguous situations. Planning, building, launching and measuring new products / systems in a zero to one environment. Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. 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: $305,000 — $385,000 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.
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 role 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. Since launch, the Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. The API serves as the primary channel for safely and broadly distributing AI's benefits across all sectors of the economy. 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: API Core owns the foundational reliability and performance of the Claude API; API Capabilities ships frontier model capabilities—vision, tool use, computer use—directly to developers; API Knowledge builds retrieval and grounding systems that let Claude reason over external data; API Distributability ensures Claude reaches customers wherever they need it, with the enterprise-ready infrastructure to support it; and API Agents builds the infrastructure for long-horizon agentic workflows in production. Responsibilities Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents. Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams. Serve as the primary technical decision-maker for major architectural decisions with org-wide scope. Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment. Mentor and develop Staff-level engineers across the org. Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks. You may be a good fit if you: Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level. Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms. Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust. Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths. Are highly effective across org boundaries—you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike. Bring strong product instincts and a craftsperson's approach to API design; you communicate clearly with both technical and non-technical audiences. Technical Stack Languages: Python, Golang, Rust Infrastructure: GCP, AWS, Azure, Kubernetes Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore, Spanner Tools: Feature Flagging, Prometheus, Grafana, Datadog, Claude Code Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based team. 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: $405,000 — $485,000 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.
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 Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will own one or two of these areas and contribute to others, with your focus shaped by your strengths and the team's priorities. This is largely greenfield work, and you will help define the architecture. About the role: Scope, design, and build complex security systems end to end, maintaining them through production and driving through ambiguous technical challenges with minimal oversight Identify systematic risks through threat modeling and risk assessment, then build the controls and infrastructure that address them Mentor engineers across the security team and broader engineering organization, contribute to hiring, and grow security engineering culture at Anthropic Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond the security team Developer security and supply chain Build and advance our developer security program by embedding security practices into the software development lifecycle and developer workflows Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement Identity and secrets management Architect systems that protect sensitive assets including model weights, customer data, and training datasets Build and operate credential issuance, rotation, and workload authentication across our multi-cloud environments Infrastructure security Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation Secure frameworks Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities and empower engineering teams to work securely without becoming security experts themselves Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls You may be a good fit if you have: At least 8 years of software engineering experience with deep security expertise, including leading complex security initiatives independently Bachelor's degree in Computer Science or equivalent industry experience Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++ Deep understanding of identity systems, cryptographic primitives, and secrets management Working knowledge of Kubernetes security primitives including RBAC, namespaces, network policies, and service accounts Experience leading cross-functional security initiatives and navigating complex organizational dynamics Outstanding communication skills, translating technical concepts effectively across all levels of the organization A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams Passion for AI safety and the role security engineering plays in building trustworthy AI systems Strong candidates may also have: Designed or operated identity and secrets management systems for large-scale AI or cloud infrastructure Built security frameworks or libraries adopted across an engineering organization Led a developer security program including supply chain security, secure build infrastructure, and SDLC integrations Built or secured CI infrastructure using Nix, Bazel, or Kubernetes-based deploy systems, with depth in toolchain issues, CI/CD pipelines, and developer workflow optimization Implemented machine identity or workload authentication systems using SPIFFE/SPIRE, mTLS, or equivalent Understanding of Linux systems internals including namespaces, cgroups, and seccomp, and how these underpin container and workload isolation Contributed to the security architecture of multi-cloud environments including network segmentation, data protection, and access governance Experience with network security controls including admission controllers, CNI-level policy, service mesh security, and east-west traffic enforcement Experience building runtime security monitoring using eBPF or kernel security policies Deadline to apply: None, applications will be received on a rolling basis. 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: $405,000 — $485,000 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.
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 role The Account Abuse team is tasked with ensuring Anthropic’s computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build systems that gather and analyze signals at scale, balancing tradeoffs and coordinating closely with stakeholder teams throughout the company. The ideal candidate can see things from opponents’ perspectives, understand their means and motives, and anticipate their responses to countermeasures. Responsibilities: Ability to think and respond quickly in a rapidly-changing greenfield environment Jumping into other teams’ code to identify key points to gather signals or introduce interventions with minimal impact on their systems’ stability, complexity, or overall architecture Integration with third-party data-enrichment vendors Creating monitoring dashboards, alerts, and internal admin UX Working closely with our data scientists to maintain situational awareness of our current usage patterns and trends, and with our Policy & Enforcement team to maximize the impact of their human-review availability Building robust and reliable multi-layered defenses Lead root cause analyses and deep-dive investigations into account activity to identify abuse patterns, uncover emerging attack vectors, and inform both immediate enforcement actions and longer-term systemic defenses You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python, SQL, and data analysis tools. Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of industry software engineering experience (not including internships and co-ops), preferably with a focus on integrity, spam, fraud, or abuse detection. Have experience building trust and safety mechanisms for and using AI/ML systems, such as fraud-detection models or security monitoring tools or the infrastructure to support these systems at scale Have worked closely with operational teams to build custom internal tooling 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: $320,000 — $485,000 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.
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 role As a Product Manager for the Research team at Anthropic, you will own the ideation and deployment of new models and products as we advance frontier, safe AI technology. You will work closely with our research teams to help productize credible applied research and identify high-potential use cases grounded in customer needs. We are looking for someone passionate about developing safe and beneficial artificial intelligence technologies. You thrive in ambiguous environments and can uncover latent, non-obvious use cases for nascent technologies, bringing these insights back to research. Your curiosity about user needs enables you to connect advanced technology to products that deliver real-world value. We seek experienced founders and product managers who can bridge research and ambitious product experimentation, with the ability to create and grow entirely new product categories enabled by AI. Responsibilities: Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems Partner with research to define, improve, and ship model capabilities within a research area Identify nascent research that could become transformative products Synthesize user insights into actionable requirements and evaluations Understand the AI landscape and ecosystem, ensuring we have an objective view of market capabilities and our position Work with and influence a diverse set of stakeholders, including research, product engineering, and platform engineering teams Minimum Qualifications You might be a good fit if you: Have a deep passion and curiosity for AI and LLMs. Use AI regularly. Are a first-principles thinker with the ability to navigate and execute amidst ambiguity, flexing into different domains based on the business problem at hand and finding simple, easy-to-understand solutions Possess a deep technical background with a strong grasp of AI/ML concepts and are willing to go deep on technical solutions; have a data-driven mindset with working proficiency in Python and SQL Have strong user empathy and the ability to synthesize vague or contradictory feedback into actionable priorities Have a track record of launching ambitious products that have achieved distribution or commercial success Have intellectual curiosity without ego—comfortable asking questions and learning independently Think creatively about the risks and benefits of new technologies, moving beyond past checklists and playbooks Have a creative, hacker spirit and love solving puzzles Preferred Qualifications Have 5+ years in product management, with experience launching new products and scaling existing ones (founder background is a plus) 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: $305,000 — $385,000 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.
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 role Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use. We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives. Responsibilities: Within Data Infra, you may be matched to critical business areas including: Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems. Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics. Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery. Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization. You might be a good fit if you: Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead Can set technical direction for a team, not just execute within it Have deep experience with at least one of: Strong proficiency in programming languages like Python, Go, Java, or similar Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS) Can navigate complex technical tradeoffs between performance, cost, security, and maintainability Have excellent collaboration skills - you work well with both technical and non-technical stakeholders Strong candidates may also have: Experience with security and compliance requirements (ITGC, GDPR, financial controls) Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure Experience with Kubernetes, containerization, and cloud-native architectures Track record of improving data reliability, availability, or cost efficiency at scale Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks Experience working in fintech, financial services, or highly regulated environments Security engineering background with focus on data protection and access controls Technologies We Use: Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran Storage: GCS, S3 Infrastructure: Terraform, Kubernetes, GCP, AWS Languages: Python, Go, SQL Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $405,000 — $485,000 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.
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 role 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. Key responsibilities Define key metrics, build measurement frameworks, and maintain core reporting to evaluate platform success Conduct deep dives into product and usage data to surface actionable insights, size opportunities, and influence roadmaps across product, engineering, and go-to-market teams Develop hypotheses and apply rigorous causal inference methods — including controlled experiments and synthetic controls — to evaluate platform changes and make actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions Build statistical models, optimization frameworks, and simulations to support and automate operational and decision-making processes Present complex analyses and recommendations clearly to both technical and non-technical stakeholders Help establish foundational data practices and scale analytics infrastructure to support rapid iteration as the platform grows Minimum qualifications Proficiency in Python, SQL, and data visualization tools Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments Experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy Effective written communication and presentation skills, with the ability to translate complex analyses into clear, actionable recommendations for both technical and business audiences Preferred qualifications 6+ years of experience in data science or analytics roles Experience supporting B2B sales teams with data insights Strong instincts for what drives product adoption, engagement, and retention in developer or enterprise contexts Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Comfort operating in ambiguous, fast-moving environments where creating clarity is part of the role A genuine interest in Anthropic's mission of building safe and beneficial AI 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: $285,000 — $380,000 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.
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 Role AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump 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, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities: Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity Design and implement monitoring and observability systems across the token path Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud provider Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you: Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet Think holistically about how systems compose and where the seams are Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions Care about users and feel ownership over outcomes, even for systems you don't own Have excellent communication and collaboration skills -- you'll be partnering across the entire company Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also: Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems Have experience operating large-scale model serving or training infrastructure (>1000 GPUs) Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium) Understand ML-specific networking optimizations like RDMA and InfiniBand Have expertise in AI-specific observability tools and frameworks Have experience with chaos engineering and systematic resilience testing Have contributed to open-source infrastructure or ML tooling. 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: $325,000 — $485,000 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.