🛠 Tech Stack

💼 About This Role

You'll own data pipelines and analytics infrastructure from product sources to dashboards, partnering with product, engineering, and AI teams. Your work drives decisions from feature bets to CEO-level questions. This end-to-end role spans ideation, engineering, analytics, and production deployment.

🎯 What You'll Do

• Design and deploy scalable data pipelines with Python and Airflow
• Build semantic data models using SQL and dbt
• Create dashboards and reporting layers in Looker or Metabase
• Support product experimentation with A/B testing and funnel analysis

📋 Requirements

• 5+ years in data engineering or analytics
• Strong SQL with cloud data warehouse experience
• Production Python for data pipelines
• Experience with product metrics and user behavior analysis

✨ Nice to Have

• Streaming or event-driven data systems
• Product instrumentation and tracking design
• AI/ML or LLM experience

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min