1 day ago
Base Salary
$485k - $625k/yr
Responsibilities
- Define and drive privacy engineering technical strategy and architecture across products, research, training data, internal tooling, and multiple clouds.
- Lead complex, company-critical privacy initiatives while personally building difficult system components when needed.
- Architect privacy primitives for data discovery, classification, lineage, purpose-based access control, auditing, retention, deletion, and export.
- Translate regulatory, contractual, and consent obligations into enforced and continuously verified technical controls.
- Anticipate changes in AI capabilities, regulation, and customer expectations and position systems accordingly.
- Mentor staff and senior staff engineers, improve privacy design practices, and help hire senior privacy talent.
- Represent Anthropic’s privacy engineering work to customers, regulators, standards bodies, and the research community.
Requirements
- Principal-level or equivalent experience setting technical direction adopted by multiple teams and delivering company-critical, multi-year initiatives.
- Deep production experience applying privacy engineering principles, including privacy by design, data minimization, and purpose limitation, at large scale.
- Experience architecting data governance infrastructure across distributed systems and cloud infrastructure.
- Proficiency in Python, Go, or similar programming languages, with the ability to code in critical paths and make architectural decisions.
- Understanding of privacy regulations including GDPR and CCPA, with the ability to collaborate as a peer with legal and policy experts.
- Strong written and verbal communication skills across engineering, research, legal, product, and senior leadership.
- Experience with privacy infrastructure or controls for machine learning or AI systems is preferred.
- Hands-on experience with privacy-enhancing technologies such as differential privacy, homomorphic encryption, secure enclaves, or secure multi-party computation is preferred.
- Experience establishing or re-architecting privacy engineering practices under enterprise-customer or regulatory scrutiny is preferred.
- Experience briefing executives, auditors, regulators, or enterprise customers on privacy risk is preferred.
- Experience growing engineers into Staff-level and more senior roles is preferred.
- Contributions to open-source privacy tooling, privacy research, or industry standards are preferred.
Benefits
- Annual salary range of $485,000—$625,000 USD.
- Visa sponsorship is offered, with the qualification that Anthropic cannot successfully sponsor every role or candidate and will make every reasonable effort if an offer is made.
- Hybrid work policy requiring staff to be in an Anthropic office at least 25% of the time, with some roles requiring more office time.
- Bachelor’s degree or equivalent combination of education, training, and/or experience accepted.
- Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.