Engineering Manager

What you'll do

• Lead and grow a multidisciplinary team responsible for data ingestion, experiment computation, and the stats engine.
• Set technical and scientific strategy for experimentation across Statsig Cloud and warehouse-native deployments.
• Turn statistical and causal inference methods into reliable, scalable product capabilities, incorporating customer needs.

What they ask for

• Experience leading teams of 5–10 building and productionizing statistically rigorous, data-intensive products.
• Familiarity with experimentation methods such as variance reduction, sequential testing, Bayesian inference, causal effects modeling, or heterogeneous treatment effects.
• Experience building large-scale data ingestion and distributed computation systems across cloud and data warehouse environments.
• Ability to connect statistical innovation, data architecture, and customer needs to define an experimentation roadmap.

Nice to have

• Advanced degree in statistics, mathematics, computer science, or another quantitative field.
• Experience with experimentation platforms, feature management, product analytics, machine learning infrastructure, or warehouse-native products.

Pay

$227,000 - $341,000 USD total target cash (inclusive of bonus or commission) (Colorado); $254,000 - $381,000 USD total target cash (inclusive of bonus or commission) (New York City); $254,000 - $381,000 USD total target cash (inclusive of bonus or commission) (San Francisco Bay Area of California); $227,000 - $341,000 USD total target cash (inclusive of bonus or commission) (California outside of the San Francisco Bay Area); $227,000 - $341,000 USD total target cash (inclusive of bonus or commission) (Washington state)

Tools

OpenTelemetry, Snowflake, BigQuery, Databricks