Data Engineering Manager, Growth & Revenue

📋 Description

• Build, manage, and grow a high-performing, inclusive team across the Growth & Revenue data
• Define the data strategy for all the data subject areas you own.
• Deliver durable, well-modeled data products that connect product behavior, subscription state
• Establish trusted metric definitions and data quality standards so product, growth, finance, and
• Partner with Data Science and Product teams to support experimentation, causal measurement, funnel
• Partner with Finance and Financial Engineering to ensure analytical revenue views reconcile to

🎯 Requirements

• Deep experience leading and scaling data engineering teams in a fast-moving product or technology
• Strong technical judgment across modern data systems, including SQL, Python or Scala, Spark
• Experience building trusted growth, lifecycle, attribution, subscription, billing, payments
• Ability to turn ambiguous business questions into durable data contracts, metric definitions, and
• Strong partnership building with teams such as Data Science, Product, Finance, Financial
• Care deeply about data quality, privacy, security, and the operational health of systems used for

🎁 Benefits

• Competitive base salary and equity package
• Relocation assistance for new employees moving to San Francisco
• Opportunity to work in a collaborative, high-impact environment
• Benefits typical of a leading AI research and deployment company