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Manager, Applied AI Engineering

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

On-site Manager
MCPPythonTypeScriptAnthropic APILLM-as-judgeEval harnessesObservabilityOrchestrationTool useMulti-agentRAGDeep learningNLPComputer visionGPULatency +7 more

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 As a Manager of Applied AI Engineers at Anthropic, you will lead a team of deeply technical engineers who serve as trusted technical advisors to our Enterprise Tech customers — tech-forward companies, including those in verticals such as fintech and cybersecurity, that are adopting the Claude API into the core of their products. Your team works hands-on with customer product and engineering teams as they ship new products powered by Claude: advising on architecture decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs.   You will hire, coach, and grow this team while staying close enough to the technology to set a high bar for engineering judgment. Working closely with our Sales, Product, and Engineering teams, you'll guide your team's portfolio of customers from technical discovery through successful deployment, turn one-off wins into repeatable playbooks and reference architectures, and channel field insight back into Anthropic's product roadmap — all while maintaining our high standards for safety and reliability. This is a fast-moving space at the frontier of what's possible with LLMs, and you'll help define how we scale technical impact across the segment. Responsibilities Build, coach, and grow a team of Applied AI Engineers serving Enterprise Tech customers — hiring strong technical builders, developing them through structured feedback and clear competency expectations, and creating scalable onboarding for a customer-facing technical role. Set collaborative performance goals aligned with the segment's sales and consumption objectives

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