Anthropic
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, 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
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.
What does a Manager, Applied AI Engineering earn in the UAE?
See the full Michael Page salary benchmark — ranges, skills, and career progression.
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