Manager of Applied AI Engineering (Megas)

Join Anthropic, a leading AI safety and research company, as the Manager of Applied AI Engineering for our Megas segment. In this role, you will lead a team of technical engineers embedded with our largest and most strategic accounts. You will guide your team from technical discovery through production deployment, and help define how we scale technical impact across our most important relationships. This is a fast-moving space at the frontier of what's possible with LLMs, and you'll have the opportunity to make a significant impact.

- Construire, encadrer et développer une équipe d'ingénieurs en IA appliquée pour servir les comptes Mega. - Agir en tant que conseiller technique senior pour les leaders de produits et d'ingénierie Mega lors du déploiement de charges de travail de production Claude. - Diriger des initiatives de co-construction pratiques avec les équipes d'ingénierie Mega, des prototypes et pilotes aux déploiements de production.

- A track record engaging senior technical stakeholders (CTOs, CPOs, and engineering leaders) and influencing technical architecture and partner product roadmaps - Experience working in or running mixed pre-sales and hands-on engineering teams (for example, SA + FDE or SE + delivery) - A high-cooperation mindset for cross-organizational collaboration across Sales, Partnerships, Product, and Research, balancing competing priorities with integrity - 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 - Demonstrated success hiring, coaching, and scaling customer-facing technical teams, ideally in a fast-moving or hypergrowth environment - Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach - Strong programming skills with proficiency in Python or TypeScript and experience building production applications - The ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems - 4+ years of experience operating in a formal leadership capacity, ideally with some tenure as a manager of managers/multiple teams. Former technical founders are also encouraged to apply - Passion for advancing safe, beneficial AI systems through creative technical applications - Experience supporting large, named strategic accounts at a platform, infrastructure, or model company, ideally where the account was both a customer and a partner - 6+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer, Solutions/Sales Engineer, or Technical Product Manager - We encourage you to apply even if you do not believe you meet every single qualification - 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, balancing immediate execution with durable, long-term architectural and platform decisions - Experience coaching engineers from purely technical roles into customer-facing, advisory work - Executive briefing and public speaking presence