Data Engineering Manager, Product

The shape of it

In the posting’s own words

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 the development of scalable data solutions for Product pillars – including Consumer, Claude Code, Enterprise & Verticals, Growth, Platform Product – managing a team of analytics engineers and working closely with stakeholders across Data Science, Product, and Engineering to ensure teams have access to reliable, accurate metrics that can scale with our company’s growth.

What it asks for · 8

• 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
• 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
• Track record of establishing data governance, quality standards, and best practices

What the job covers

• 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
• 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

Tools and skills named

Words the posting leans on

• data43×
• product31×
• analytics20×
• engineering17×
• technical13×
• experience8×
• analytics engineering7×
• data science7×
• decision6×
• tools6×
• build5×
• data engineering5×
• partner5×
• scale5×
• science product5×
• strategic5×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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