Analytics Data Engineering Manager, Product

Responsibilities

• 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

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
• 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
• Experience scaling analytics functions from early stage to maturity in rapidly changing environments
• Track record of establishing data governance, quality standards, and best practices

Compensation

Annual Salary: $370,000—$450,000 USD