Manager, Applied AI Engineering (Megas)

The role

You will lead a team of technical engineers embedded with large strategic partner-customers. You will guide these engineers in co-designing technical solutions, advising on architecture, and developing evaluation frameworks for LLM implementation.

What you will do

• Build, coach, and grow a team of Applied AI Engineers
• Staff engineers into account-aligned pods
• Set performance goals aligned with technical account plans and consumption objectives
• Serve as a senior technical advisor to Mega product and engineering leaders
• Lead hands-on co-build initiatives from prototypes to production
• Navigate the partner-customer duality for direct consumption and distribution
• Act as a technical escalation point for accounts
• Build shared assets like reference architectures and eval frameworks
• Collaborate with Product and Research to surface requirements
• Champion scalable public and internal assets and contribute thought leadership

Required qualifications

• 6+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer, Solutions/Sales Engineer, or Technical Product Manager
• 4+ years of experience operating in a formal leadership capacity
• Demonstrated success hiring, coaching, and scaling customer-facing technical teams
• Experience supporting large, named strategic accounts at a platform, infrastructure, or model company
• 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
• Experience building production applications
• Track record engaging senior technical stakeholders
• Experience working in or running mixed pre-sales and hands-on engineering teams
• Ability to navigate ambiguity and execute across domains
• High-cooperation mindset for cross-organizational collaboration
• Exceptional communication skills

Nice to have

• Background at a hyperscaler, foundation model lab, or large ISV in a strategic-accounts or alliances technical role
• Experience with marketplace, embed/OEM, or co-sell motions
• Prior forward-deployed engineering leadership
• Experience leading technical teams through periods of rapid scale
• Experience coaching engineers from purely technical roles into customer-facing, advisory work
• Executive briefing and public speaking presence

Benefits

• Competitive compensation
• Optional equity donation matching
• Generous vacation
• Parental leave
• Flexible working hours
• Office space

Before you apply

• We do sponsor visas

About the company

Anthropic is a public benefit corporation headquartered in San Francisco. Its mission is to create reliable, interpretable, and steerable AI systems.