Find your next AI Engineering role

Anthropic

Anthropic's Tax Technology team, within Finance Systems, is seeking a Tax Technologist to build and own the systems that ensure all revenue and purchasing transactions are bookable, taxable, and auditable. This role involves writing integrations, tooling, and production code to connect tax systems with Anthropic's billing, ERP, and data warehouse. You will work across various tax domains including indirect tax, corporate income tax, withholding tax, R&D credits, and transfer pricing. As a foundational hire, you will collaborate closely with the Tax Technology Lead and cross-functional partners in Tax, Data Science, Billing Engineering, and Product. A key aspect of this role will be developing and hardening tax-specific tooling and audit-ready evidence pipelines to support business growth. Future opportunities include leveraging Claude to automate tax processes end-to-end and building impactful internal products for the Tax team.

Anthropic

Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries by combining cutting-edge AI with hands-on biological research. We are seeking an exceptional Research Scientist to join this high-impact team, operating at the intersection of computational and experimental biology. This role offers a unique opportunity to shape how AI transforms biological research, working with leading AI researchers on problems that matter deeply for scientific understanding and biomedicine. You will have substantial access to Claude and will help establish how computational biology operates at Anthropic, guiding the development of transformative AI systems.

Anthropic

Anthropic is seeking a Director of Investor Relations to manage the company's engagement with investors and the financial community. This role involves building the investor engagement and investment narrative, informing investors about Anthropic's mission, strategy, financial performance, and competitive advantages. The ideal candidate will possess analytical rigor, a background in capital markets, and a keen interest in technology and AI developments. They will be responsible for understanding investor perspectives and the broader industry, providing strategic insights to leadership, and distilling complex financial and technical concepts into clear investor narratives. This position requires comfort operating autonomously and building new processes.

Anthropic

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.

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 looking for a Security Engineering Manager to lead our Secure Frameworks Research team. This team develops high-leverage security frameworks and libraries that ensure secure model development and prevent vulnerabilities through thoughtful design. You will collaborate across Anthropic to own critical security foundations, including cryptographic frameworks and secure serialization and authorization systems, enabling teams to work securely without needing to be security experts.

Anthropic

Anthropic's Safeguards team is looking for a Red Team Engineer to ensure the safety of deployed AI systems and products. This role involves taking an adversarial approach to identify vulnerabilities before they can be exploited, covering technical infrastructure and emergent risks from advanced AI capabilities. While drawing on traditional security practices, the focus is on AI-specific safety implications and novel abuse scenarios. You will investigate potential misuse, from account manipulation to exploiting product features, and simulate sophisticated threat actors using multiple attack vectors.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial. The Capacity Engineering team plays a crucial role in managing one of the industry's largest and fastest-growing infrastructure fleets. This team is responsible for ensuring all infrastructure resources are accounted for, well-utilized, and efficiently allocated. As an engineer on this team, you will develop the production systems that power these efforts, including data pipelines for telemetry ingestion, observability tools for real-time fleet health visibility, and performance instrumentation to measure hardware utilization across various workloads. You will write production-quality code, operate at scale with Kubernetes-native infrastructure, and significantly influence decisions regarding Anthropic's substantial infrastructure spend. This role involves close collaboration with research engineering, infrastructure, inference, and finance teams, requiring comfort across data engineering, systems engineering, and observability in a high-autonomy environment.

Anthropic

Anthropic's Application Security team is responsible for securing the systems that build, serve, and operate Claude. This role will establish and lead the security due diligence and integration function for Anthropic's acquisitions. You will assess target companies' security postures pre-close, provide security risk assessments to leadership, and ensure acquired systems meet Anthropic's security standards post-close. This is a dedicated role to formalize the M&A security playbook, risk model, and tooling, making the process repeatable and scalable. While the primary focus is M&A security, you will also be an active member of the Application Security team, participating in team rituals, on-call rotations, and contributing to core AppSec projects when deal flow is quiet. The role requires comfort with ambiguity, time-sensitive work, and the ability to quickly assess unfamiliar systems under pressure.

Anthropic

Anthropic is seeking a vulnerability assessment candidate for platform security. This role involves cross-functional collaboration with internal teams and external partners to assess security features across hardware, firmware, bootloaders, operating systems, and attestation systems. The primary goal is to identify and eliminate vulnerabilities from the ground up, requiring deep expertise in low-level systems security and a hands-on approach to ensure that identified issues are fully and correctly resolved in production, preventing reintroduction.

Anthropic

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

Anthropic

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2><strong>About the role</strong></h2> <p>We are looking for a threat intel manager to build and run our Model Exploitation &amp; Fraud team within Threat Intelligence. This team detects, investigates, and disrupts the large-scale exploitation of Anthropic's AI systems. Model distillation,&nbsp; unauthorized access, account farming and reseller abuse, and fraud and scam operations.</p> <p>You will set the strategy for the mission area, hire and lead a small team of technical investigators, and build the systems, processes, and partnerships that let the team scale. The team includes established senior investigators who own our deepest technical casework,&nbsp; tracing distillation networks, reseller and proxy ecosystems, and financially motivated actors across first-party surfaces and third-party platforms; your job is to direct, resource, and amplify that work, not duplicate it. This area carries regular U.S. government engagement and requires deeply understanding external black market ecosystems and how they interact with our systems.</p> <p><em>Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.</em></p> <h2><strong>Key responsibilities</strong></h2> <ul> <li>Own strategy, priorities, and outcomes for the Model Exploitation &amp; Fraud mission area; define what we detect, investigate, action, and share</li> <li>Hire, manage, and develop a team of technical threat investigators; set the quality bar for casework and intelligence reporting</li> <li>Design clear lanes between this role and the team's senior individual contributors: strategy, people leadership, and program ownership sit with you, while ownership of the deepest technical investigations and tradecraft stays with the senior experts closest to the work</li> <li>Capable of independently leading complex investigations.&nbsp;</li> <li>Direct, prioritize, and resource complex investigations into model distillation, unauthorized AI R&amp;D usage, unauthorized access, coordinated account abuse, and fraud/scam networks, partnering with the senior investigators who lead the deepest technical casework and clearing blockers from their path</li> <li>Drive the redesign of triage for a very high-volume detection pipeline: partner with investigators and engineering to build abuse signals, clustering, and agentic investigation workflows that separate sophisticated actors from noise</li> <li>Expand the team's coverage into fraud and scams, building the detection and investigation playbooks from the ground up</li> <li>Own the external engagement program for the area, including regular intelligence sharing with U.S. government partners and industry peers, ensuring the investigators driving the work are visible in those channels</li> <li>Anticipate how resellers, proxies, and third-party platforms change the abuse surface, and shape coverage accordingly</li> <li>Work with policy, enforcement, and engineering to convert findings into bans, product mitigations, and safety-by-design improvements</li> <li>Define and report the team's metrics; brief Safeguards and company leadership on the threat landscape</li> </ul> <h2><strong>Minimum qualifications</strong></h2> <ul> <li>Have led and managed investigative, fraud, platform integrity, or threat intelligence teams, ideally ones built around senior, deeply specialized individual contributors</li> <li>Have strong domain fluency in scaled abuse — fraud patterns, account abuse, unauthorized access, or platform exploitation economics — sufficient to set priorities, pressure-test findings, and earn the confidence of expert investigators</li> <li>Are proficient enough in SQL and Python to review data-heavy casework, pressure-test conclusions, and provide surge capacity when the team needs it</li> <li>Have experience overseeing investigations that track threat actors across surface, deep, and dark web environments, including reseller and access-broker communities</li> <li>Have working familiarity with large language models and a strong grasp of how models can be distilled, extracted, or exploited at scale</li> <li>Have built processes, detection systems, or programs from scratch and can show what changed because of them</li> <li>Communicate crisply with executives, engineers, and external partners alike</li> </ul> <h2><strong>Preferred qualifications</strong></h2> <ul> <li>Experience at a major technology platform on trust and safety, fraud, or abuse investigations at scale</li> <li>Background in financial crime investigation or fraud analytics</li> <li>Experience working directly with U.S. government stakeholders on threat reporting</li> <li>A track record of partnering with, growing, and retaining senior technical specialists, including defining clear scope between management and senior IC tracks</li> <li>Fluency in Mandarin Chinese and/or Russian with nuanced regional and geopolitical context</li> <li>Active Top Secret security clearance</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p> <p>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.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$375,000</span><span class="divider">&mdash;</span><span>$455,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2> <p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p> <p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p> <p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p> <p><strong>Location-based hybrid policy:</strong> 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.</p> <p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nbsp;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.</p> <p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.&nbsp; 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.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;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&nbsp;<u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u>&nbsp;directly for confirmed position openings.</p> <h2><strong>How we're different</strong></h2> <p>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.</p> <p>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 &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p> <h2><strong>Come work with us!</strong></h2> <p>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. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong>&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

Anthropic

Anthropic is seeking a Threat Intel Manager to establish and lead their Influence Operations & Surveillance team. This role is crucial for detecting, investigating, and disrupting the misuse of Anthropic's AI systems by authoritarian states and commercial spyware for influence operations, coordinated inauthentic behavior, and surveillance. This is a foundational leadership position where you will develop the team's detection capabilities, define the strategy for countering state-linked information manipulation and surveillance misuse, and handle complex investigations. Please note, this role may involve exposure to sensitive content and require weekend/holiday availability.

Anthropic

Anthropic is seeking a Threat Intel Manager to establish and lead a new team focused on Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats and advanced weapons. This role involves maturing the team from its current stage into a robust investigative program, hiring specialized investigators, and enhancing threat detection capabilities. The manager will personally lead critical investigations, assess potential misuse of AI systems for weapon development, and engage with government, biosecurity, and scientific stakeholders. This position may involve exposure to sensitive content and require weekend/holiday on-call responsibilities.

Anthropic

Anthropic's Enterprise AI Products team is responsible for developing the features that make Claude a daily-use tool for enterprise customers. This involves focusing on organizational context and workflows, such as plugins, skills, connectors, and webhook-triggered processes or agents. The team aims to understand and address adoption barriers by building new capabilities. This role offers the opportunity to shape the product and architecture in a nascent market, acting as a technical leader who considers the end-to-end customer experience, collaborates with research to productionize model advancements, and takes ownership of shipped products.

Anthropic

We are seeking experienced engineers to build and scale the database infrastructure that powers Claude's products and Anthropic's research. As a Software Engineer on the Databases team, you will architect and operate systems that enable millions of users to interact with Claude, while also supporting frontier AI research workloads. You will help define Anthropic's database strategy by designing systems capable of handling billions of API requests, building storage solutions that operate seamlessly across GCP, AWS, and various deployment models, and creating a reliable data layer to accelerate research velocity. The team focuses on the core database platform, data movement, and caching infrastructure.

Anthropic

As a Partners Solutions Architect on the Applied AI team, you will be a Pre-Sales architect focused on cultivating technical relationships with Global and Regional System Integrators (GSIs/RSIs), and cloud partners (AWS and GCP). Your role will be to strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term Go-To-Market strategy. You will act as a technical thought partner, providing expertise to understand the partner landscape, drive strategic programs, and identify opportunities to deepen partner technical capabilities. You will also collaborate with partners to develop joint solutions and codify reference architectures, and intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle.

Anthropic

Anthropic's Verticals team is building AI products tailored for specific industries like financial services, science, and healthcare, as well as broader enterprise applications. Many of these teams are in their early stages, offering a unique opportunity to shape both the product and its architecture. For established products, they are already in use by enterprise customers and experiencing rapid growth. As a Staff+ Software Engineer, you will be a technical leader responsible for the end-to-end customer experience, collaborating with research to productionize model capabilities, and taking ownership of product development.

Anthropic

The Computer Use team focuses on teaching Claude to see, use, and understand computer interfaces. As a Research Engineer on the team, you'll work on advancing our models' ability to reliably and safely operate real software. We're looking for someone who's genuinely excited about both the research and the product sides of computer use. Your work will translate directly into model improvements in our own and our customers' products. You can try Claude's computer use capabilities today through the Claude in Chrome extension and Claude Cowork.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role focuses on accelerating biological discovery and drug development through AI. As the Applied AI Engineering Manager for Life Sciences, you will lead a team of engineers who deploy AI solutions for scientific organizations. You will work closely with customers to understand their workflows and build prototypes, integrations, and agents that enable AI to perform meaningful work in labs and clinics. This is a hands-on leadership position requiring you to grow and manage the team, ensure technical success with strategic accounts, and translate field learnings into product improvements. The role involves building robust infrastructure to make messy biological data reliably accessible to AI agents, ensuring correctness, reproducibility, and auditability of results.

Anthropic

Anthropic is seeking a Commercial Counsel, SPARC (Safety, Policy, and Research Contracts) to join its legal team. This role will be instrumental in shaping how advanced AI technology is delivered to users, researchers, and enterprises globally. You will collaborate with experienced colleagues as strategic partners, focusing on cutting-edge AI safety and research agreements, including threat-sharing frameworks and collaborations that advance responsible AI development standards. Additionally, you will support Go-to-Market teams by handling enterprise agreements and customer negotiations. This is a prime opportunity for a driven attorney to gain deep expertise in commercial transactions while directly contributing to the development of responsible AI.

Anthropic

Anthropic is seeking an exceptional Legal Program Manager to serve as the operational backbone of contracting for the Compute and Infrastructure team. This role will manage a high volume of procurement and vendor agreements, including datacenter colocation, lease, and build-to-suit agreements; hardware, chip, and network-equipment procurement; and construction, facilities, and operations-and-maintenance (O&M) contracts. You will build scalable contracting processes, including templates, playbooks, intake and approval workflows, and contract lifecycle management, to support the company's infrastructure buildout. This position owns the system, throughput, and visibility for all agreements from intake through signature.

Anthropic

The Domain Scaling team aims to make Claude world-class at real-world knowledge work in domains like finance, healthcare, and legal. This role combines direct applied research with data sourcing (real-world and synthetic) to improve our models. You will own the end-to-end process of creating RL environments for new capabilities, which includes identifying high-value tasks, designing reward signals, managing vendor relationships, and measuring impact on model performance.

Anthropic

Anthropic is seeking an exceptional Research Engineer to join its Life Sciences team. This role focuses on accelerating progress in life sciences through AI, from early discovery to translation. You will leverage deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies, pushing the boundaries of AI in biology. Working at the intersection of AI and biological sciences, you will develop rigorous methods to measure and improve model performance on complex scientific tasks, collaborating with researchers and engineers to build AI systems for all phases of research and development, while upholding Anthropic's commitment to safety and beneficial impact. Previous experience in life sciences is welcome but not required.

Anthropic

We are seeking a Research Engineer for our Code RL team, focused on advancing AI models' capabilities in writing, editing, testing, debugging, and shipping real software. This role involves designing RL environments, coding tasks, and reward signals, as well as running training experiments on frontier models. You will diagnose model performance, improve pipeline speed and reliability, and contribute to areas like agentic coding behaviors, code correctness, and autonomous engineering. The position blends cutting-edge research with practical engineering to build high-quality, scalable AI systems.

Anthropic

Anthropic is seeking an experienced software engineer to build the platform for governance, risk, and compliance (GRC). This role involves consolidating compliance information from various systems into a unified platform. You will develop pipelines, integrations, and services to automate checks, create real-time dashboards, and generate evidence for decision-making and market expansion. As an early team member, you will collaborate with stakeholders across multiple departments to transform manual compliance processes into scalable, reliable systems. You will lead projects end-to-end and leverage Claude through agentic workflows for tasks like evidence collection and monitoring. Experience building internal platforms, data pipelines, or privacy systems is beneficial, and a compliance background is not required.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial. The Security Risk team is rebuilding risk management as an engineering function, leveraging automation and AI-native platforms. This role involves identifying, prioritizing, and treating the company's most critical security risks across a broad spectrum of systems, from authorization to cryptography. You will help define the future of risk management for frontier AI companies, with a direct impact on CISO-level decisions and the opportunity to build the underlying AI-native platform. The work is largely greenfield, allowing you to shape the architecture and discipline.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. Our growing team of researchers, engineers, and policy experts collaborates to create these advanced AI systems. The Inference team is central to this mission, responsible for building and maintaining the critical systems that serve Claude to millions of users globally. We manage the entire stack, from intelligent request routing to fleet-wide orchestration across diverse AI accelerators, ensuring Claude is brought to life efficiently and reliably.

Anthropic

Anthropic is seeking an exceptional Research Scientist to join its Life Sciences team. This role focuses on making Claude a superhuman life sciences research assistant, operating at the intersection of machine learning, software engineering, and biology. You will directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development. As a core member, you will translate deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows, helping establish Anthropic as a leader in AI-accelerated biology and shaping how frontier models reason about computational biology tasks. This is a unique opportunity to shape how frontier AI models learn biology, working alongside top AI researchers on problems crucial for human health and scientific understanding.

Anthropic

We are hiring an Engineering Manager to lead a team of engineers building AI-powered cybersecurity products. The work spans research, product, and go-to-market. Your team will prototype and ship products that use frontier models to defend code and infrastructure. You will set technical direction, partner with research to turn new model capabilities into products, and stay close to customers so the team builds the right things. This is a builder's role where you should expect to be in the code, in customer calls, and in research reviews the same week. You also need to scale the team without losing the prototyping energy that got the product here.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences across AWS, GCP, Azure, and other cloud providers. This involves end-to-end ownership of Claude on each platform, from API integration and request routing to inference execution and capacity management. The model & inference launch team specifically focuses on the validation pipeline for the inference server and load balancer, ensuring every inference change, including model launches and performance improvements, is deployed with correctness, performance, and reliability. This high-leverage infrastructure work is critical for fast and cost-effective deployment of frontier models and features, directly impacting compute capacity and the speed at which innovations reach production.

Anthropic

Anthropic is seeking a Research Engineer for its Code RL team to advance AI models' ability to design silicon. This role involves leveraging chip design expertise to create tasks and signals for models, focusing on hardware design domains. The position is at the intersection of cutting-edge research and engineering excellence, with a commitment to building high-quality, scalable systems that push the boundaries of AI capabilities.

Anthropic

The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences of developers and enterprise companies across AWS, GCP, Azure, and other cloud service providers. This role involves owning the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and daily operations. Engineers on this team have a high leverage impact, driving multiple revenue streams while optimizing compute resources. The complexity of managing inference efficiently across diverse providers with different hardware, networking, and operational models is growing significantly. We are seeking product-minded backend engineers who can navigate these platform differences, design cross-provider services and abstractions, and make architectural decisions to ensure reliability and cost-effectiveness at massive scale. Your work will directly contribute to increasing service scale, accelerating the launch of new models and features, and ensuring LLMs meet rigorous safety, performance, and security standards.

Anthropic

We are hiring Support Engineers to serve as the named, dedicated Product Support point of contact for Anthropic's most strategic enterprise customers. As a Support Engineer, you'll be providing high-touch, deeply contextual support to a defined book of accounts — embedded in your customers' shared channels, known by name to their stakeholders, and partnering closely with Sales, Customer Success, and Applied AI as the technical support voice on the account team. You'll bring deep knowledge of how each of your customers is built on Claude to every interaction, so you can investigate, diagnose, and resolve their most complex technical needs with nuance and speed — and ensure the right internal teams are engaged when needed.

Anthropic

Anthropic's inference fleet serves Claude to millions of users across its own products and major cloud platforms. The stack supporting this is complex, involving accelerator kernels, model servers, distributed routing, autoscaling, and capacity management, where each layer's performance impacts the others. The Inference System Dynamics team is tasked with understanding this entire system and ensuring high performance across throughput, latency, reliability, and correctness. This involves measuring fleet performance against theoretical limits, investigating performance gaps, and owning correctness checks to ensure Claude's outputs are accurate across various hardware and serving configurations. The team focuses on identifying high-leverage optimization opportunities across components and collaborating with owning teams to implement them, treating correctness as an integral part of performance.

Anthropic

Anthropic's Research Tools team builds systems that support large-scale, distributed finetuning runs and improve researcher productivity. As a manager, you will lead a team of machine learning and distributed systems experts to enhance the efficiency of these systems and tools, facilitate rapid iteration on model development and research, and continuously evolve the infrastructure to integrate new research advancements. This role is central to Anthropic's technical operations, requiring collaboration with research teams to integrate their innovations into the production finetuning pipeline, product teams for customer-oriented model improvements, and infrastructure teams to optimize training runs and data pipelines.

Anthropic

We are seeking Research Engineers to develop evaluations that will define and measure Claude's capabilities and personality. Your work will translate abstract concepts of intelligence into concrete, verifiable metrics for researchers, leadership, and the public. You will design and implement evaluations across Claude's full spectrum of abilities and build the scalable infrastructure to run them. This role involves close collaboration with researchers throughout the development of new capabilities, from defining measurement criteria to interpreting results against live training checkpoints. The ultimate goal is to establish Anthropic as the leader in highly characterized AI systems, with performance rigorously measured and validated across critical tasks.

$40k - $57k

Anthropic

As part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy. You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth.

Anthropic

Anthropic is seeking a talented and driven Workday Business Systems Analyst to join our People Systems team. This role will own the technical configuration, testing, and operational excellence of our Workday HRIS across Payroll, Absence, and Time Tracking (PATT) and Core Human Capital Management (HCM) domains. The ideal candidate is passionate about leveraging AI and internal tooling to enhance People Systems effectiveness, questioning traditional approaches to find innovative solutions. You will be a system expert, providing both strategic guidance and hands-on delivery in a fast-paced, high-growth environment, partnering with various departments to ensure the HRIS is secure, scalable, and a business enabler.

Anthropic

Anthropic's Human Data Platform team is responsible for building systems that enhance our AI models by collecting crucial data. This involves creating infrastructure for simulating real-world environments and tasks, developing innovative interfaces for data vendors, and establishing pipelines for researchers to acquire high-quality data efficiently. As the real-world application of Claude expands, so does the need for sophisticated data collection tools. This role will collaborate closely with a fast-paced engineering team, contribute to strategic decision-making, and ensure investments are made in scalable tooling. The position requires working across research teams, data operations, and external vendors to translate insights into actionable product direction.

Anthropic

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.