Data Engineering Manager, Product

Details

As a Data Engineering Manager focused on Product, 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 scalable data solutions for Product pillars including Consumer, Claude Code, Enterprise & Verticals, Growth, and Platform Product.

Responsibilities

• Build and scale the Product Analytics Engineering team, including hiring and mentoring high-performing analytics engineers embedded with Product pillars.
• Define and execute the strategic roadmap for product data foundations and analytics capabilities.
• Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions that transform raw product event logs into canonical datasets and insightful data marts.
• Partner with Data Science, Product, and Engineering leadership to understand data needs and translate them into technical requirements.
• Establish and maintain high data integrity standards, SLAs, alerting, and team best practices.
• Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics.
• Partner with the Data Science team to build innovative data tools using Claude to scale data-driven decisions across Product teams.
• Foster a culture of technical excellence, continuous learning, and data-driven decision-making.
• Serve as a technical thought leader for data modeling, ETL processes, and product analytics infrastructure.

Requirements

• 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.
• Deep expertise in data modeling, ETL pipelines, and data warehouse architecture.
• Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools.
• Proven track record of building and leading high-performing teams.
• Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights.
• Ability to balance strategic thinking with hands-on technical leadership.
• Strong communication skills and the ability to translate complex technical concepts for diverse audiences.
• Experience scaling analytics functions from early stage to maturity in rapidly changing environments.
• Track record of establishing data governance, quality standards, and best practices.
• A bias for action and urgency, with a full-stack mindset and willingness to solve problems end-to-end.
• Passion for Anthropic’s mission of building helpful, honest, and harmless AI.
• Bachelor’s degree or equivalent combination of education, training, and experience. The field of study must be relevant to the role through coursework, training, or professional experience.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office space for collaboration. The location-based hybrid policy expects staff to be in one of the company’s offices at least 25% of the time, although some roles may require more office time. Anthropic sponsors visas where possible and makes every reasonable effort to obtain a visa for candidates who receive an offer, with support from an immigration lawyer.