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Manager, Applied AI Engineering

Lead and grow a team of Applied AI Engineers advising Enterprise Tech customers on Claude API deployments, architecture, evaluations, and advanced LLM patterns while partnering with Sales, Product, and Engineering.

300k – 405kSan Francisco, CANew York, NYEngineering ManagementHybrid7+ YOE

About the role

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.

Requirements

  • 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 — with the technical depth to set engineering standards and review your team's work credibly.
  • 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.

Nice-to-Haves

  • Experience leading technical teams through periods of rapid scale, balancing immediate execution with durable, long-term architectural and platform decisions.
  • Experience selling or delivering complex technical solutions to large enterprise customers, including engaging C-level stakeholders in significant technical evaluations.
  • Experience partnering closely with Product and Engineering organizations to turn field signal into shipped product.
  • Experience coaching engineers from purely technical roles into customer-facing, advisory work.

Compensation & Benefits

  • Annual Salary: $300,000—$405,000 USD
  • Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
  • Visa sponsorship available.

Skills

PythonTypeScriptLLMsPrompt EngineeringAgent DevelopmentEvaluation FrameworksProduction ApplicationsTechnical ArchitectureCustomer-Facing Technical RolesTeam LeadershipHiringCoaching

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