# Principal Engineer, Privacy

**Company**: Anthropic
**Location**: Friendly (Travel-Required
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $485,000-$625,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5477753008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/principal-engineer-privacy-7f997d5d-17b/

## Description

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.

As a Principal Engineer, Privacy, you will be among Anthropic's most senior individual contributors on privacy, setting technical strategy for handling personal data across products, research, and infrastructure, and executing the most challenging parts of delivering it.

## Key Responsibilities

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

- Identify and lead high-complexity, company-critical privacy initiatives, guiding engineers across many teams

- Architect primitives that make privacy the default and the safe path the fastest one: data discovery, classification, lineage, purpose-based access control, audit, retention, deletion, and export

- Turn regulatory, contractual, and consent obligations into enforced, continuously verified technical controls in partnership with Legal, Policy, and Compliance teams

- Anticipate where AI capabilities, regulation, and customer expectations are heading, and position Anthropic's systems ahead of them

- Mentor and develop staff and senior staff engineers, raising the bar for privacy design across engineering, and helping hire senior privacy talent

- Represent Anthropic's privacy engineering to customers, regulators, standards bodies, 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 with a large user base

- Experience architecting data governance infrastructure across distributed systems and cloud infrastructure at scale

- 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 or controls for machine learning or AI systems

- Hands-on experience with privacy-enhancing technologies

- 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

The annual compensation range for this role is $485,000-$625,000 USD.

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## Skills

### Required
- Python
- Go
- privacy engineering
- data governance
- GDPR
- CCPA

### Nice to have
- machine learning
- AI systems
- privacy-enhancing technologies
- secure enclaves
- differential privacy

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5477753008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)