Anthropic Jobs

Anthropic

Anthropic's performance and scaling teams are dedicated to optimizing compute resources for both inference and training. As an Engineering Manager on these teams, you will lead efforts to identify and eliminate bottlenecks, develop resilient and scalable solutions, and enhance system efficiency. You will also provide clear direction, focus, and context to your team within a fast-paced, evolving environment. This role requires a leader who can guide engineering initiatives to improve model performance and scale inference and training systems, while also contributing technically to the team's stack.

Anthropic

Anthropic's performance and scaling teams focus on making the most efficient and impactful use of our compute resources for inference and training. As an Engineering Manager on these teams, you will be responsible for identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems. You will also help bring clarity, focus, and context to your teams in a fast-paced, dynamic environment.

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 seeking a senior Design Engineer to join their Brand Web team. This role sits at the intersection of design and engineering, focusing on shaping the development of Anthropic's web properties, including significant portions of anthropic.com and claude.com. You will be responsible for interactive marketing pages, data visualization systems, and internal tooling for content operations. The position involves working collaboratively with designers, engineers, and brand/content teams, setting technical direction, and partnering with platform and product engineering on underlying infrastructure. Rapid prototyping and moving from concept to production with speed and craft are key aspects of this role.

Anthropic

Education Labs studies how people learn and build capability with AI, aiming to close the loop between discoveries and accessible learning tools. As the first dedicated education researcher, you will strengthen the team's measurement of learning and AI fluency to ensure trustworthy evidence from experiments. You will design instruments, build tools, run studies, and translate findings into product experiments and action research in real learning settings. This hands-on research role is embedded in a small team where you will publish, influence thinking across Anthropic, and help decide on scaling, handoff, or discontinuation of initiatives. The focus is on learning experiences that progressively enhance capability, curiosity, and empowerment.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Safeguards team ensures our models and products are developed and deployed safely. This role manages the Interventions team, which is responsible for the systems that operate between our detection stack and the user across all Anthropic surfaces. The team's work is crucial for enabling products to grow safely by evolving and driving the quality of interventions for areas like bio, cyber, acceptable usage, child safety, and copyright.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As the Data Operations Manager, you will be instrumental in building and scaling data operations for research teams focused on frontier AI capabilities. This role involves partnering with researchers to define and execute data strategies, managing vendor relationships, and overseeing the entire data pipeline from inception to production. While a strong understanding of what constitutes high-quality training data is important, the primary focus will be on strategic planning and execution to ensure the data operations directly contribute to model performance in critical areas like tool use accuracy, prompt injection robustness, and safety alignment.

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 is building AI systems that are safe, beneficial, and transformative, aiming to develop AI that benefits humanity. Applied AI is a new exploration within Anthropic Labs, focused on bringing frontier AI capabilities to professionals in less software-native roles. This role involves taking advanced AI and turning it into user-friendly applications, rapidly prototyping new experiences, and partnering with researchers, domain experts, and users to shape the direction of this exploration. The ideal candidate is an entrepreneurial engineer comfortable with ambiguity, willing to iterate quickly, and energized by building in uncharted territory.

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 building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As a Product Manager for the Research team, you will be responsible for the ideation and deployment of new models and products, working closely with research teams to productize applied research and identify customer-driven use cases. We are looking for individuals passionate about developing safe and beneficial AI technologies, who thrive in ambiguous environments and can uncover non-obvious use cases for nascent technologies, connecting advanced technology to products that deliver real-world value. The ideal candidate will bridge research and ambitious product experimentation, with the ability to create and grow new product categories enabled by AI.

Anthropic

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 is seeking a Life Sciences Industry Advisor to be the technical and scientific representative for Claude to leading pharmaceutical companies, biotechs, and research institutions. This role involves combining deep life sciences domain expertise with technical credibility to help customers develop transformative AI solutions across the drug discovery and development lifecycle. You will engage directly with senior leaders at customer organizations to address critical challenges, from literature synthesis and hypothesis generation to bioinformatics, clinical trial design, and regulatory submission. Your insights will directly influence Anthropic's product roadmap and research, while also enabling the go-to-market teams with essential domain expertise and thought leadership.

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

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

Anthropic is seeking talented and experienced Staff+ Software Engineers to join the Developer Acceleration team within the Developer Productivity organization. This team is responsible for the infrastructure that enables thousands of employees to be productive via agents, directly impacting the velocity and quality of Anthropic's research and engineering development. You will define how AI transforms work and build the future of agentic productivity, owning areas like the Agent Runtime Platform and Knowledge systems for providing context to agents and humans.

Anthropic

Anthropic's Infrastructure organization is the engine that powers our mission, building and operating massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms. As a Technical Program Manager for Infrastructure, you will coordinate complex programs with broad organizational impact, solving novel scaling challenges while maintaining security and reliability. This role is ideal for someone who thrives in ambiguity, makes others more effective, and partners closely with engineering leadership to drive strategic initiatives and ensure seamless coordination between research, engineering, and product teams.