Manager of Applied AI Engineering

• 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
• 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

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office- Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach
• 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
• 7+ years of exper…