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Anthropic is seeking an Applied AI Research Engineer to bridge the gap between product development and customer adoption. In this hybrid role based in San Francisco or New York, you'll embed with product teams to build deep technical expertise on new AI capabilities as they develop, becoming the field's go-to expert in your domain.
You'll own the technical go-to-market handshake for model and product launches, including early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle. Your responsibilities include building demos, evaluations, and prototypes that showcase customer-relevant capabilities; developing enablement materials like playbooks and reference architectures; and engaging hands-on with strategic customers facing novel technical challenges.
A critical part of your role is synthesizing insights from customer engagements and translating them back to Product and Research teams. You'll identify adoption patterns, common blockers, and capability gaps that should inform the company's research and product roadmaps. You'll partner with Sales and Applied AI teams to support high-value accounts and occasionally travel to customer sites for workshops and implementation support.
This role sits at the intersection of research, field expertise, and product development. You'll need the technical depth to push the boundaries of what Anthropic's models can do, strong communication skills to make complex capabilities clear to diverse audiences, and the instinct to turn field learnings into product signal. The ideal candidate has 6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, or similar technical role, with meaningful experience building with large language models and a track record of translating technical insights into enablement materials and tools.
