Engineering Manager (Experimentation Data Infrastructure)
Core
Lead the Data Infrastructure team for Statsig Experiment, building scalable systems for data ingestion, computation, and statistical engines to power experimentation at scale.
Role type
Engineering Manager (Experimentation Data Infrastructure)
Builds
Data ingestion pipelines, distributed computation systems, and production statistical engines for experimentation platforms.
Domain
Product Analytics / Experimentation Infrastructure / Data Science
Deliverable
production ML models | product features | infrastructure
Required skills
Data science background, experimentation methodology, causal inference, statistical power analysis, distributed computation architecture, team leadership (10-15 members), technical strategy definition, customer partnership
Preferred skills
Advanced degree in statistics/math/CS/economics, experimentation platform experience, warehouse-native product experience (Snowflake/BigQuery/Databricks), large-scale consumer/B2B product experience
Technologies
OpenTelemetry, Snowflake, BigQuery, Databricks, Cloud storage, Streaming systems
Responsibilities
Lead and grow the multidisciplinary team; Define technical and scientific strategy for experimentation; Partner with data scientists to translate statistical methods into product capabilities; Evolve data/computation architecture for complex experiment designs; Engage with customers to drive platform improvements
Seniority
Manager, hands-on technical leadership
