Engineering Manager, Secure Frameworks

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About Anthropic Anthropic is an AI safety and research company whose mission is to create reliable, interpretable, and steerable AI systems. We aim to ensure artificial intelligence benefits all of humanity and offer an opportunity to shape the future of AI while doing important work. The Role Engineering Manager, Secure Frameworks. You will lead the Secure Frameworks team, building high-leverage security frameworks and libraries to make secure development easy and prevent classes of vulnerabilities through design. You will collaborate with teams across Anthropic to own critical security foundations, including cryptographic frameworks and secure serialization and authorization systems that empower teams to work securely without being security experts. Responsibilities Design frameworks and libraries that enable secure handling of sensitive data including model weights, customer data, and training datasets Own what you build completely; ensure outstanding user experience, proactive monitoring, and responsive support Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond your team Partner with product, research, infrastructure, and other Security teams to ensure frameworks integrate smoothly with lower-layer security controls Make strategic decisions about which frameworks to build based on security risk and translate into prioritized roadmaps Scale the team’s impact from supporting researchers to enabling the broader product engineering organization as Anthropic grows Define success metrics around framework adoption and impact You may be a good fit if you 5+ years managing security engineering teams with a proven track record of team productivity 5+ years hands-on security and software engineering experience Deep expertise in securing complex architectures, threat modeling, and risk assessment with ability to evaluate security tradeoffs Strong cross-functional collaboration skills balancing security requirements with developer experience and velocity Clear and persuasive communicator in writing and verbal settings Passionate about building diverse, high-performing teams and growing engineers in a fast-paced environment Low ego, high empathy, and a track record as a talent magnet Experience working with technical internal customers Familiarity with AI safety concepts and frameworks Deadline Deadline to apply: None. Applications will be reviewed on a rolling basis. Annual Salary USD 320,000 - 485,000 Logistics Education requirements: At least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Employees are expected to be in one of our offices at least 25% of the time; some roles may require more time in office. Visa sponsorship: We sponsor visas where possible; if we make you an offer, we will make reasonable efforts with immigration support. Additional notes We encourage you to apply even if you do not meet every qualification. We value diverse perspectives and aim to include a wide range of candidates on our team.
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Location:
San Francisco, CA, United States
Salary:
$200,000 - $250,000
Job Type:
FullTime
Category:
Engineering