Staff+ Software Engineer, Privacy at Anthropic
Confirmed open
Anthropic is hiring a staff-plus software engineer focused on privacy engineering and data protection.
- Location
- Remote
- Work arrangement
- remote
- Technologies
- Python, Go
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Role overview
The Staff+ Software Engineer, Privacy opening at Anthropic is centered on Set technical direction and deliver systems for privacy engineering and data protection. The employer also lists Design scalable, reliable architecture and guide implementation across teams. and Partner with research, product, security, policy or infrastructure groups to solve complex problems. These responsibilities define the practical scope more clearly than the job title: applicants should be ready to explain what they have built, supported or delivered that relates directly to this work. The listing summary says: Anthropic is hiring a staff-plus software engineer focused on privacy engineering and data protection. The named technologies include Python, Go.
The posting identifies Experience applying privacy engineering principles in production systems, including privacy by design, data minimization, and purpose limitation and Proficiency in Python, Go, or similar languages, with experience building and operating production systems at scale as relevant qualifications. Candidates should connect these requirements to evidence from their own work, including their individual contribution, technical decisions and outcomes. The listing describes the work arrangement as remote and gives the location as Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY / New York, New York, United States / San Francisco, California, United States / Seattle, Washington, United States. Confirm country eligibility, travel, employment terms and any details absent from this summary directly with Anthropic before applying. This overview is based on the employer-provided posting; it does not infer team structure or expectations that the source does not state.
Responsibilities
- Set technical direction and deliver systems for privacy engineering and data protection.
- Design scalable, reliable architecture and guide implementation across teams.
- Partner with research, product, security, policy or infrastructure groups to solve complex problems.
- Raise engineering quality through reviews, documentation, observability and operational practice.
Qualifications
- 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
- Written and verbal communication skills sufficient to build alignment across engineering, research, legal, and product teams
- 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
- Contributions to open-source privacy tooling, privacy research, or industry standards
- 12+ years of experience in a software engineering role, including building and operating large-scale infrastructure
- 3+ years of experience leading large, complex projects as a technical lead
- The annual compensation range for this role is listed below.
Technology in this role
- Python: The named technologies include Python, .
- Go: The named technologies include Python, .
Role-specific candidate guide
Preparation notes based on the employer’s stated responsibilities and qualifications.
Understanding the scope. This Staff+ Software Engineer, Privacy position at Anthropic is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “The Staff+ Software Engineer, Privacy opening at Anthropic is centered on Set technical direction and deliver systems for privacy engineering and data protection. The employer also lists Design scalable, reliable…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the software engineering area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.
What the responsibilities signal. The posting specifically names “Set technical direction and deliver systems for privacy engineering and data protection.”; “Design scalable, reliable architecture and guide implementation across teams.”; “Partner with research, product, security, policy or infrastructure groups to solve complex problems.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from the group’s contribution. Avoid presenting a technology keyword as proof by itself: connect it to the problem you solved, the scale or complexity involved, and what changed after your work. The source may contain additional duties; review it.
Benefits
- Remote-friendly United States arrangement as stated; travel or office requirements vary by role.
- Opportunity to support Anthropic’s frontier AI mission.
About Anthropic
Anthropic develops advanced AI systems with a focus on reliability, interpretability and safety.
Employer websiteHow to apply
Review the original posting and apply through the employer’s careers page.
View source and applySource checked: 2026-10-13