Engineering Manager (Experimentation Data Infrastructure)
$254,000–$381,000 year
HybridSan Francisco, California, United States
Job Summary
Lead and grow the multidisciplinary team responsible for Statsig's data ingestion, experiment computation, and stats engine. Define technical and scientific strategy to advance experimentation across cloud and warehouse-native deployments. Partner with data scientists and engineers to translate new statistical and causal inference methods into scalable, reliable product capabilities. Evolve data and computation architectures to support complex experiment designs and engage with customers to translate challenges into platform improvements. This role bridges statistical innovation with production systems to build the foundation for Statsig while moving data science innovations from research to production.
Required Qualifications
- A strong data science background, with hands-on experience in experimentation, statistics, or causal inference
- Experience leading teams (10-15 team members) that build and productionize 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
- The ability to connect statistical innovation, data architecture, and customer needs to define a compelling experimentation roadmap
- An advanced degree in statistics, mathematics, computer science, economics, or another quantitative field
- Experience with experimentation platforms, feature management systems, product analytics, or machine learning infrastructure
- Experience building warehouse-native products or executing computation within Snowflake, BigQuery, Databricks, or similar environments
- Experience supporting experimentation for large-scale consumer products, B2B products, marketplaces, social networks, or other settings with complex units of analysis
Desired Qualifications
- Experience solely in data engineering is not sufficient for this role
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