Application Security Engineer Manager

About Anthropic

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.

About Anthropic

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. As we rapidly advance foundational language models, application security is paramount. 

About the role:

We are seeking a Security Engineering Manager to lead our Application Security team in ensuring the security and integrity of our products and third-party software used across all of Anthropic. You will collaborate closely with teams and leaders across Anthropic, providing guidance on security risks and mitigation, and secure development architecture.

What you'll do:

• Oversee “shift left" security efforts to build security into the software development lifecycle, with a focus on automation and scalability
• Ensure your team has the right processes and procedures to assist with threat modeling, secure design reviews, risk acceptance and security code reviews 
• Operate our vulnerability management, security partnerships, and bug bounty / vulnerability disclosure programs
• Help to develop security policies, standards, playbooks and secure coding training content
• Encourage automation of applicable security-specific workloads and building tools that enable Anthropic teams to self-serve
• Build partnerships and collaborate with product and research teams to instill security best practices
• Manage and grow a team of Application Security engineers to deliver high-impact projects and experiences to our internal users

Who you are:

• 5+ years hands-on application and infrastructure security experience 
• 3+ years of engineering management experience
• Possesses a deep understanding of security best practices, threat modeling, risk assessment
• Experienced in securing complex cloud environments (Kubernetes, Docker, AWS/GCP)
• Knowledgeable in AI/ML security risks and mitigations
• Strong in verbal and written communication and can distill complex security topics 
• Skilled at collaborating cross-functionally and effectively balancing security requirements with business objectives
• Able to drive high-impact work while incorporating feedback
• 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

The expected salary range for this position is:

Annual Salary:$405,000—$405,000 USD

Logistics

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 different

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.

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.