Anthropic에서 프라이버시 엔지니어링 팀을 이끌며 AI 시스템 전반의 데이터 보호 인프라를 구축할 엔지니어링 매니저를 채용합니다. 프라이버시 설계, 데이터 거버넌스, 규제 대응 경험이 필수이며, 대규모 시스템 환경에서 팀을 성장시킨 경험이 있는 분을 찾습니다. AI 안전을 위한 핵심 인프라를 설계하고 기술 전략을 주도하는 중요한 역할을 수행하게 됩니다.
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.
We're looking for an Engineering Manager to build and lead our Privacy Engineering team:a small, high-leverage group responsible for designing and operating the privacy infrastructure that protects user data across our AI systems. You'll have an outsized impact in shaping how Anthropic builds world-class privacy into Claude from the ground up.
This is a role with extraordinary scope and leverage. You'll own privacy engineering for Anthropic end-to-end.The work that spans privacy-preserving architectures for AI training and inference, foundational data governance and lifecycle systems, and the automated controls that turn complex regulation into engineering reality. You'll lead a team of talented privacy engineers that builds and operates the platform and infra frameworks underpinning Anthropic's privacy and compliance posture. Your job is to scale the team and its charter as Anthropic grows. .
Working at the intersection of privacy engineering, AI safety, and distributed systems, your team will solve novel challenges in protecting user data at scale, handling billions of conversations while maintaining model quality and research velocity. If owning the whole problem and having an outsized impact on how a frontier AI lab protects its users sounds compelling, this role might be for you.
We're looking for a technical leader who thinks of themselves as a problem-solver and team-builder first. The ideal candidate has:
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000—$485,000 USD
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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.
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. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
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.
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.
