Manager, Applied AI Engineering at Anthropic

On-site - San Francisco, CA | New York City, NY

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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. 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, and partner closely with Sales, Product, and Engineering to deliver technical solutions, shape the roadmap, and drive customer success.

Salary

USD 300,000 - 405,000

Requirements

Skills

  • 7+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer, Solutions/Sales Engineer, or Technical Product Manager, including experience leading and developing technical teams
  • Demonstrated success hiring, coaching, and scaling customer-facing technical teams, ideally in a fast-moving or hypergrowth environment
  • Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
  • Strong programming skills with proficiency in Python or TypeScript and experience building production applications
  • A track record engaging senior technical stakeholders — founders, CTOs, and engineering leaders — and influencing technical architecture and product strategy
  • The ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
  • A high-cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
  • Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach
  • Passion for advancing safe, beneficial AI systems through creative technical applications

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, and establish the metrics, reporting cadence, and dashboards that keep cross-functional stakeholders informed on team health and impact
  • Serve as a senior technical advisor to strategic customers as they deploy new products and workflows on Claude — guiding architecture design, evaluation strategy, and the most advanced prompting, agentic, and implementation patterns from discovery through deployment
  • Partner with account executives and solutions architects to translate customer business requirements into technical solutions, sequencing technical work to maximize value and orchestrating across teams to drive customer success
  • Identify the design patterns, pilots, prototypes, and evaluation suites that recur across engagements, and scale them from individual accounts into segment-wide assets your team can reuse
  • Collaborate with Product and Engineering teams to surface field signal, advocate for high-impact product changes, and help shape the roadmap based on what enterprise builders need
  • Champion the creation of scalable public and internal assets documenting the latest LLM prompting, evaluation, agentic, and architecture techniques; contribute thought leadership through talks, blog posts, and white papers
  • Maintain strong, current knowledge of LLM capabilities, implementation patterns, and the AI product development stack, and translate it into practical guidance for your team and customers
  • Travel occasionally to customer sites for workshops, implementation support, and relationship building, and represent Anthropic at conferences and speaking engagements

Technologies

PythonTypeScriptLLMsAdvanced promptingAgent developmentEvaluation frameworksMCPClaude API

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