Analytics Data Engineering Manager - Remote

About the Role

We're hiring an Analytics Data Engineering Manager to join our team remotely. In this role, you'll lead the analytics engineering team responsible for creating the data foundations that enable data-driven decision making across Anthropic’s Product organization.

What You'll Do

• Build and scale the Product Analytics Engineering team, including hiring and mentoring a team of 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 best practices for the team.
• 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.
• Serve as a technical thought leader for data modeling, ETL processes, and product analytics infrastructure.

Requirements

• 5+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment.
• 8+ 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.
• Strong communication skills with the ability to translate complex technical concepts for diverse audiences.

Nice to Have

• 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, not letting perfect be the enemy of the effective.

What We Offer

• Competitive compensation ranging from $370,000 to $450,000 annually.
• Visa sponsorship opportunities for international candidates.
• Generous vacation and parental leave policies.
• Flexible working hours and a collaborative office space.
• A culture that values communication and diverse perspectives.