Engineering Manager, Security
Security
hybrid: San Francisco, CA
Salary range $375,000 - $450,000
added Sun Jun 25, 2023
Apply to AnthropicAt Anthropic, we believe new AI capabilities are best achieved through secure foundations, not in spite of them. As capabilities grow more advanced, it is critical that progress moves forward safely and for the benefit of all society. It is the reason why security sits at the center of our work, and not as an afterthought.
Anthropic’s Security team is looking for a Security Engineering Manager to direct our security engineering team and ensure their success. In this role, you’ll be responsible for ensuring our security policies & infrastructure are manifested in products and employee practices. You will build the foundation for how the team operates and delivers value to the rest of Anthropic.
Responsibilities
- Build and maintain infrastructure related to hardening systems against attacks against frontier AI models.
- Identify and assess systematic risk, and translate them into actionable tasks for the organization.
- Shape policies and procedures to embed security into product design, infrastructure, and employee practices.
- Lead our small but growing security engineering team to successfully deliver on team goals.
- Develop and track metrics to ensure security objectives are being met.
- Represent the security engineering team and build credibility for Anthropic's security posture.
- Collaborate with product, research, and infrastructure teams to integrate secure-by-default into their workflows and processes.
You might be a great fit if you have the following experience
- 15 years in the industry working on security, privacy, and/or engineering
- 4 years of management experience
- Enforcing security policies in an organization
- Communicating critical updates to organizational leaders
- Coordinating change management and company-wide announcements
Strong candidates may also
- Have experience in all three areas of security, privacy, and engineering
- Have experience supporting medium or large tech organizations
- Care about AI safety risk scenarios
- Have driven a new security program from beginning to live
- Have 8 years of management experience
Candidates need not have
- 100% of the skills needed to perform the job
- Formal certifications or education credentials
Annual Salary (USD)
- The expected salary range for this position is $375k - $450k
Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
Benefits - Benefits we offer include:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.
* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
Logistics
Company-wide hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time. However, different roles may have different requirements - if this role has a different preference, it will be noted above.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
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.
Come work with us! Anthropic is a public benefit corporation based 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.
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole.
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.