H
San Francisco, California, United States· Full-time· Remote
$231K – $340K/yr
● Strong current hiring demand for this role
A
Active6mo ago
Staff+ Software Engineer, Backend
Pay vs market · Top quarter
This job's pay ($445,000 a year at the midpoint) is higher than over 90% of 1,227 salary-listed Software Engineer jobs in United States in the last 12 months; their median is $232,500.
Role overview
Job description
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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai. You'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products. You'll make architectural decisions that affect the reliability and sca
…About this listing
- Source: Anthropic's official careers site (via Greenhouse) · last confirmed on the source 1 Nov 2026
- Posted 8 Apr 2026
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Role market pulse
How Software Engineer demand looks in United States
Live jobs
1,574
Posted 30d
616
30d movement
+34.8%
Remote share
29%
Salary listed
78%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
ailogistics
Qualification
Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of
Department · Engineering & Design - Product
Hiring company
Anthropic
Technology
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
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