🛠 Tech Stack

💼 About This Role

You'll build robust data pipelines and enable self-serve analytics, working closely with Product teams to solve business problems. Your work will structure a Single Source of Truth optimized for both human and AI consumption. You'll be part of a highly talented team pioneering context engineering for modern AI workflows.

🎯 What You'll Do

• Collaborate with PMs to own end-to-end data lifecycle for business problems
• Own event data instrumentation, taxonomy design, and transformation pipelines
• Build a DRY, modular Databricks warehouse to prevent sprawl
• Enable product teams to independently answer questions using Amplitude and Claude Code

📋 Requirements

• Expertise in SQL and Python
• Experience with data warehousing, cloud warehouses, and BI tools
• Experience with dimensional modeling and semantic layers
• Proven ability to influence and ship with product and engineering teams in B2B SaaS

✨ Nice to Have

• Experience with context engineering or AI/agentic workflows
• Experience with Hex or Glean
• Background in product analytics scaling solutions

🎁 Benefits & Perks

• 💰 Equity included
• 🏠 Remote work flexibility
• 🚀 High-growth startup environment