Staff Engineer, Experimentation

Responsibilities

• Build the experimentation statistical engine — hypothesis testing, sequential analysis, variance reduction (CUPED, Winsorization), power analysis. Ensure statistical correctness across all experiment types.
• Design warehouse-native experimentation that runs analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery).
• Build modular, warehouse-agnostic abstractions for rapid new backend support.
• Lead adaptive experimentation — contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests.
• Drive the platform roadmap with product, design, and data science. Shape what we build, not just how.
• Collaborate cross-functionally with Warehouse Integrations, SDK, Platform, and Data Science teams.
• Mentor engineers and raise the team's bar for statistical rigor and system design.
• Own operational excellence — monitoring, observability, incident response, on-call. Robust telemetry and alerting.

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