Data Engineering Manager (Product)

Join Anthropic, a leading AI safety and research company, as a Data Engineering Manager focused on Product. In this role, you will build and lead the analytics engineering team responsible for creating the data foundations that enable data-driven decision making across Anthropic’s Product organization. You will oversee the development of scalable data solutions, manage a team of analytics engineers, and work closely with stakeholders across Data Science, Product, and Engineering. This position offers a comprehensive benefits package, including health insurance, paid parental leave, flexible paid time off, and competitive salary and equity packages.

• Construire et diriger l'équipe d'ingénierie analytique responsable de la création des bases de données qui permettent une prise de décision basée sur les données.
• Superviser le développement de solutions de données évolutives pour les différents piliers du produit, en gérant une équipe d'ingénieurs d'analyse et en travaillant en étroite collaboration avec les parties prenantes.
• Définir et exécuter la feuille de route stratégique pour les fondations de données du produit et les capacités d'analyse.
• Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights
• Deep expertise in data modeling, ETL pipelines, and data warehouse architecture
• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end
• Track record of establishing data governance, quality standards, and best practices
• Demonstrated ability to balance strategic thinking with hands-on technical leadership
• Strong communication skills with the ability to translate complex technical concepts for diverse audiences
• A passion for Anthropic’s mission of building helpful, honest, and harmless AI
• A bias for action and urgency, not letting perfect be the enemy of the effective
• Proven track record of building and leading high-performing teams
• Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools
• Experience scaling analytics functions from early stage to maturity in rapidly changing environments
• We require at least a Bachelor's degree in a related field or equivalent experience
• We encourage you to apply even if you do not believe you meet every single qualification
• 8+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment
• 10+ years of total experience in analytics engineering, data engineering, or similar data-focused roles