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.
Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. Our mission is to ensure that artificial intelligence benefits all of humanity. We have a staggering amount of work ahead, which means you have an unprecedented opportunity to shape the future of AI while doing the most important work of your career.
About the RoleWe are seeking a Security Engineering Manager to lead our Secure Frameworks team, which builds high-leverage security frameworks and libraries that make secure development easy and prevent entire classes of vulnerabilities through careful design. You'll collaborate closely with teams and leaders across Anthropic to own critical security foundations, including cryptographic frameworks and secure serialization and authorization systems that empower teams to work securely without becoming security experts themselves.
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; ensuring 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, and infrastructure teams, as well as 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 primarily supporting researchers today to enabling the broader product engineering organization as Anthropic grows
- Define success metrics around framework adoption and impact - the team succeeds when engineers naturally reach for Secure Frameworks' tools rather than building security solutions from scratch
- Manage and grow a team of engineers to deliver high-impact projects that balance security rigor with development velocity
- 5+ years managing security engineering teams with 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 and make risk-based decisions
- Strong cross-functional collaboration skills, balancing security requirements with developer experience and velocity
- Clear and persuasive communicator in both writing and verbal settings
- Passionate about building diverse, high-performing teams and growing engineers in a fast-paced environment
- Low ego, high empathy, and have a track record as a talent magnet
- Experience working with technical internal customers
- Familiarity with AI safety concepts and frameworks
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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.
How we're differentWe 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
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What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
