Description
Anthropic is working on frontier AI systems that handle sensitive information at enormous scale. As a Principal Engineer, Privacy, you will set technical strategy for handling personal data across products, research, and infrastructure, and execute the hardest parts of delivering it.
Key Responsibilities
- Define and drive technical strategy and architecture for major areas of privacy
- Identify and lead high-complexity, company-critical privacy initiatives
- Architect primitives for privacy, including data discovery, classification, and access control
- Turn regulatory obligations into enforced technical controls
- Anticipate AI capabilities, regulation, and customer expectations
- Mentor and develop staff and senior staff engineers
- Represent Anthropic's privacy engineering to customers, regulators, and the research community
Minimum Qualifications
- Track record of operating as a Principal engineer or equivalent
- Deep experience applying privacy engineering principles in production systems
- Experience architecting data governance infrastructure
- Proficiency in Python, Go, or similar languages
- Understanding of privacy regulations such as GDPR and CCPA
- Strong written and verbal communication skills
Preferred Qualifications
- Experience building privacy infrastructure for machine learning or AI systems
- Hands-on experience with privacy-enhancing technologies
- Experience establishing or re-architecting a privacy engineering practice
- Experience briefing executives, auditors, regulators, or enterprise customers
- History of growing engineers into Staff-level and more senior roles
The annual compensation range for this role is $485,000-$625,000 USD.
For more fresh new jobs, check out yubhub.co.