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Anthropic

Staff+ Software Engineer, Privacy

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA

Posted about 2 months ago

or apply directly on Anthropic's site. We never take the application ourselves.

Is this posting real?

This role has been open
61 days
Anthropic's roles stay open a median of 62 days
Reposted
No
Salary listed
No
0% of Anthropic's roles list one
Ghost-job risk at Anthropic
high
449 stale, 19 reposted of 603 open
Hiring momentum
795 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Anthropic's own greenhouse board since 2026-08-03. Full hiring picture for Anthropic.

About this role

As a Staff+ Software Engineer focused on privacy at Anthropic, you will play a critical role in establishing the privacy engineering function within the Data Infrastructure team. Your responsibilities will include designing privacy-preserving architectures for AI systems, implementing privacy-enhancing technologies, and ensuring compliance with privacy regulations. You will work collaboratively with researchers and product teams to integrate privacy controls into AI systems, while also leading privacy reviews and developing foundational privacy infrastructure.

Our read on this posting2.8out of 5
benefits
3/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anthropic as an employer.

What you need

  • 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 the ability to translate legal requirements into technical designs
  • Experience conducting privacy reviews, threat modeling, or risk assessments

Nice to have

  • Hands-on experience with privacy-enhancing technologies (e.g., differential privacy, homomorphic encryption, secure enclaves, secure multi-party computation)
  • Experience building privacy infrastructure or controls for machine learning or AI systems
  • Experience establishing a privacy engineering practice, or being an early hire in a function
  • Experience with distributed systems and cloud infrastructure at scale
  • Experience serving as a technical lead on complex, multi-quarter projects

What you get

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space for collaboration

Worth weighing

  • High autonomy and broad influence in a foundational role
  • No salary listed for non-sales roles
  • Location-based hybrid policy requires at least 25% in-office presence
  • Visa sponsorship available but not guaranteed for every role

Summarised from Anthropic's posting. Read the full original.

Listed by Anthropic on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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