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Anthropic

Principal Engineer, Privacy

Anthropic

. Define and drive technical strategy and architecture for major privacy areas across product surfaces, research and training data, internal tooling, and multiple clouds .

Posted 11/10/2026full-timeUnited StatesLead💰 $485,000 - $625,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in privacy engineering principles, including data governance and regulatory compliance, while effectively leading cross-functional teams and mentoring engineers. Proficient in architecting privacy solutions and translating complex regulatory requirements into actionable technical designs.

Highest-signal resume keywords
Privacy Engineering PrinciplesData Governance InfrastructurePython ProgrammingGDPR CompliancePrivacy-Enhancing Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Privacy By DesignData MinimizationPurpose LimitationArchitecting Distributed SystemsDesign DocumentationCritical Path CodingDifferential PrivacyHomomorphic EncryptionSecure EnclavesSecure Multi-Party Computation
Soft Skills
Written CommunicationVerbal CommunicationMentoringCollaboration
Industry Keywords
GDPRCCPAHIPAAEU AI ActPrivacy RiskPrivacy StandardsOpen-Source Privacy ToolingPrivacy Research

Tech Stack

Tools & technologies
CloudDistributed SystemsPythonGo

About the role

Key responsibilities & impact
  • Define and drive technical strategy and architecture for major privacy areas across product surfaces, research and training data, internal tooling, and multiple clouds
  • Identify and lead the highest-complexity, company-critical privacy initiatives across many teams
  • Build the most difficult technical components when needed
  • Architect privacy primitives including data discovery, classification, lineage, purpose-based access control, audit, retention, deletion, and export
  • Turn regulatory, contractual, and consent obligations such as GDPR, CCPA, HIPAA, and the EU AI Act into continuously verified technical controls
  • Anticipate developments in AI capabilities, regulation, and customer expectations and position systems accordingly
  • Mentor and develop staff and senior staff engineers
  • Raise privacy design standards across engineering
  • Help hire senior privacy talent
  • Represent Anthropic's privacy engineering to customers, regulators, standards bodies, and the research community

Requirements

What you’ll need
  • A track record of operating as a Principal engineer or equivalent, setting technical direction adopted by multiple teams and delivering company-critical, multi-year initiatives
  • Deep experience applying privacy engineering principles in production systems with a large user base, including privacy by design, data minimization, and purpose limitation
  • Experience architecting data governance infrastructure across distributed systems and cloud infrastructure at scale
  • Proficiency in Python, Go, or similar languages
  • Effectiveness writing design docs, making architectural calls, and coding in critical paths
  • Understanding of privacy regulations such as GDPR and CCPA
  • Ability to work as a peer with legal and policy experts to turn requirements into technical designs
  • Written and verbal communication that builds alignment across engineering, research, legal, and product teams up to senior leadership
  • Bachelor's degree or an equivalent combination of education, training, and/or experience
  • Field relevant to the role, demonstrated through coursework, training, or professional experience
  • Experience building privacy infrastructure or controls for machine learning or AI systems, including training data governance or AI agents
  • Hands-on experience with privacy-enhancing technologies such as differential privacy, homomorphic encryption, secure enclaves, or secure multi-party computation
  • Experience establishing or re-architecting a privacy engineering practice under enterprise-customer or regulatory scrutiny
  • Experience briefing executives, auditors, regulators, or enterprise customers on privacy risk
  • History of growing engineers into Staff-level and more senior roles
  • Contributions to open-source privacy tooling, privacy research, or industry standards

Benefits

Comp & perks
  • Visa sponsorship support and immigration lawyer assistance
  • Competitive compensation
  • Optional equity donation matching
  • Generous vacation
  • Generous parental leave
  • Flexible working hours
  • Lovely office space for collaboration
  • Collaborative research environment
  • Frequent research discussions