Staff+ Software Engineer, Privacy

Highlights

• Architect privacy-preserving systems for AI training and inference at scale.
• Establish Anthropic's privacy engineering function from the ground up.
• Embed privacy controls into Claude's inference systems and data pipelines.

What they offer

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours

Ideal candidate

A senior privacy-minded engineer excited to define privacy from first principles in frontier AI. You thrive with autonomy, collaborate across research and product, and care deeply about building safe, trustworthy AI systems.

Requirements

• Experience applying privacy engineering principles in production systems, including privacy by design, data minimization, and purpose limitation
• Proficiency in Python, Go, or similar languages, with experience building and operating production systems at scale
• Experience designing and implementing privacy infrastructure for systems with a large user base
• Experience with data governance, classification, or data lifecycle management systems
• Understanding of privacy regulations such as GDPR and CCPA, and ability to translate legal requirements into technical designs
• Experience conducting privacy reviews, threat modeling, or risk assessments
• Communication skills to build alignment across engineering, research, legal, and product teams
• Bachelor's degree or equivalent combination of education, training and/or experience