🛠 Tech Stack

💼 About This Role

You'll own end-to-end product analytics across the data stack, from pipeline work in a data lakehouse to insight delivery. You'll conduct deep AI trace analysis and build funnel analysis across the customer lifecycle. This role stands out for its impact on AI-powered features and product roadmap decisions.

🎯 What You'll Do

• Own end-to-end product analytics across the data stack.
• Conduct deep AI trace analysis using observability tooling.
• Build and own funnel analysis across the customer lifecycle.
• Define, track, and report core product and revenue metrics.

📋 Requirements

• 3+ years in product analytics in a SaaS environment.
• Solid grounding in SQL and Python.
• Hands-on experience with data lakehouse platforms (Microsoft Fabric, Databricks, Snowflake).
• Familiarity with product analytics platforms (Pendo, Amplitude, Mixpanel).

✨ Nice to Have

• Experience with AI observability tools such as Langfuse.
• Familiarity with Power BI and Microsoft Fabric.
• Proven ability to build funnel analyses and retention models.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min