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Jobs/San Francisco/Staff+ Software Engineer, Public Sector
San Francisco, CA

Staff+ Software Engineer, Public Sector

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

Company
Anthropic
Compensation
Not listed
Schedule
Full-Time
Role overview

What this role actually needs.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Responsibilities: - Build specialized AI applications and products for governments by developing deep understanding of their processes and workflows - Take ownership of architecting new deployments and designing public sector specific features - Collaborate closely with research on AI models for government applications and workflows - Partner directly with government customers and internal go-to-market teams to translate requirements into technical and product roadmaps - Design and build scalable systems for deployment, user management, and administrative controls - Create clarity and technical direction in a fast-moving environment with unique constraints Requirements: - Design and build scalable systems for deployment, user management, and administrative controls - Create clarity and technical direction in a fast-moving environment with unique constraints Company context: Anthropic is an AI safety company building Claude, a frontier-model assistant for developers, enterprises, and consumers.

Responsibilities

Day-to-day expectations

Anthropic lists these responsibilities for the Staff+ Software Engineer, Public Sector role.

  • Build specialized AI applications and products for governments by developing deep understanding of their processes and workflows
  • Take ownership of architecting new deployments and designing public sector specific features
  • Collaborate closely with research on AI models for government applications and workflows
  • Partner directly with government customers and internal go-to-market teams to translate requirements into technical and product roadmaps
  • Design and build scalable systems for deployment, user management, and administrative controls
  • Create clarity and technical direction in a fast-moving environment with unique constraints
Requirements

What a strong candidate brings

These requirements are extracted from the source listing and normalized for UpJobz readers.

  • Design and build scalable systems for deployment, user management, and administrative controls
  • Create clarity and technical direction in a fast-moving environment with unique constraints
UpJobz market context

Why this listing is more than a copied job post.

Staff+ Software Engineer, Public Sector is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

United States roles on UpJobz are filtered for high-tech relevance, source freshness, and actionable employer detail before they are allowed into SEO surfaces.

Compensation read

The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.

Work authorization read

Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

Location read

On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.

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Turn this listing into an application plan.

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Next moves

  • Tailor your resume around ai and llm instead of sending a generic application.
  • Use the first two bullets of your application to connect your background directly to staff+ software engineer, public sector is a high-signal on-site role in san francisco, and it is most realistic for open to tn, h-1b, and opt candidates already in the united states.
  • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

Interview themes

Software EngineeringOn-siteaillmmachine-learningresearch

Watchouts

  • Compensation is hidden, so get range clarity in the first recruiter conversation.
  • Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
  • Show concrete examples of succeeding in on-site environments.
Role signals

Keywords to match against your background

Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.

aillmmachine-learningresearchawssecurityapisafetypython
Next step

Apply through the employer source

Open the source listing from job-boards.greenhouse.io, confirm the role is still active, then apply on the employer or ATS page.

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Source: job-boards.greenhouse.io · Source ID: 5205704008 · Confidence: 97/100 · Last checked: May 7, 2026

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