Manager, Applied AI Engineering

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.

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.

You may be a good fit if you have

• 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. Former technical founders are also encouraged to apply.

• 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.

Strong candidates may also have

• 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.