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You will lead your team to scale and optimize Claude to serve the massive audiences of developers and enterprise companies using AWS.</p>\n<p>As an Engineering Manager, you will own the end-to-end product of Claude on AWS, including API, load balancing, inference, capacity and operations. Your team will ensure our LLMs meet rigorous performance, safety and security standards and enhance our core infrastructure for packaging, testing, and deploying inference technology across the globe.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Set technical strategy and oversee development of Claude on AWS across all layers of the technical stack.</li>\n<li>Collaborate across teams and companies to deeply understand product, infrastructure, operations and capacity needs, identifying potential solutions to support frontier LLM serving</li>\n<li>Work closely with cross-functional stakeholders across companies to align on goals and drive outcomes</li>\n<li>Create clarity for the team and stakeholders in an ambiguous and evolving environment</li>\n<li>Take an inclusive approach to hiring and coaching top technical talent, and support a high performing team</li>\n<li>Design and run processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>10+ years of experience in high-scale, high-reliability software development, particularly infrastructure or capacity management</li>\n<li>5+ years of engineering management experience</li>\n<li>Experience recruiting, scaling, and retaining engineering talent in a high growth environment</li>\n<li>Have experience scaling products, resources and operations to accommodate rapid growth</li>\n<li>Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development</li>\n<li>Excel at building strong relationships and strategy with stakeholders across engineering, product, finance, and sales</li>\n<li>Have experience working with external partners to align goals and deliver impact</li>\n<li>Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space</li>\n<li>Have excellent written and verbal communication skills</li>\n<li>Demonstrated success building a culture of belonging and engineering excellence</li>\n<li>Are motivated by developing AI responsibly and safely</li>\n<li>Are willing and able to travel frequently between Seattle and the SF Bay Area</li>\n</ul>\n<p>Strong candidates may also have experience with:</p>\n<ul>\n<li>Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL</li>\n<li>Experience as a Product Manager</li>\n<li>Experience with deployment and capacity management automation</li>\n<li>Security and privacy best practice expertise</li>\n</ul>\n<p>Annual compensation range for this role is $405,000-$485,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0a872d93-7f6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5141377008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$405,000-$485,000 USD","x-skills-required":["Cloud Inference","AWS","Machine Learning","Infrastructure Management","Capacity Planning","Security and Privacy","Leadership","Communication","Collaboration"],"x-skills-preferred":["GPU","TPU","Trainium","NCCL","Product Management","Deployment Automation","Security Best Practices"],"datePosted":"2026-04-18T15:37:12.539Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Cloud Inference, AWS, Machine Learning, Infrastructure Management, Capacity Planning, Security and Privacy, Leadership, Communication, Collaboration, GPU, TPU, Trainium, NCCL, Product Management, Deployment Automation, Security Best Practices","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0a4da217-86e"},"title":"Software Engineer, UI Platform","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;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>\n<p><strong>About the role:</strong></p>\n<p>Claude.ai is Anthropic&#39;s flagship consumer product, spanning web, mobile, desktop, and browser extensions—and it&#39;s growing fast. The UI Platform team owns the foundational layer that makes all of this possible: the shared infrastructure, components, APIs, and tooling that let every other product team at Anthropic ship quickly, reliably, and with confidence.</p>\n<p>As a Software Engineer on this team, you&#39;ll be hands-on building the platform that other engineers depend on every day. 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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&#39;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&#39;re interested in this work. 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. 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