Analytics Data Engineering Manager, Product
$370,000 – $450,000
Apply now (opens in a new tab)Analytics Data Engineering Manager, Product
L7
$370,000 – $450,000
- Build and scale the Product Analytics Engineering team, including hiring and mentoring a high‐performing analytics engineering team embedded with Product pillars.
- Define and execute the strategic roadmap for product data foundations and analytics capabilities.
- Oversee 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.
- Drive development of foundational data products, dashboards, and tools to enable self‐serve analytics; partner with Data Science 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.
- You might be a good fit if you have 5+ years of experience managing analytics or data engineering teams, preferably in a scaling startup.8+ years 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 and 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, not letting perfect be the enemy of effectiveness.
- A full‐stack mindset, not hesitating to do what it takes to solve a problem end‐to‐end.
- A passion for Anthropic's mission of building helpful, honest, and harmless AI.Compensation
- Annual base salary range: $370,000 – $450,000 USD.Logistics
Level
ManagerL7
Salary
$370,000 – $450,000
Location
Millbrae, CA
Occupation
Data Warehousing Specialists
Industry
Software Publishers
Posted
yesterday
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