Engineering Manager of Experimentation Data Infrastructure (Experimentation)

Location: San Francisco, California, United States; hybrid role

Salary: $254,000–$381,000 total target cash annually for the San Francisco Bay Area of California, inclusive of bonus or commission.

Company

hirify.global is an AI analytics platform that helps thousands of customers build, analyze, test, and optimize digital products and experiences.

What you will do

• Lead and grow a multidisciplinary team of software engineers, data engineers, and data scientists.
• Own data ingestion for experiment exposures, custom events, OpenTelemetry data, real user monitoring data, SDKs, streaming systems, cloud storage, and customer warehouses.
• Develop distributed computation systems that transform raw data into accurate and timely experiment results.
• Advance the statistical engine and productionize rigorous experimentation and causal inference methods.
• Define the technical and scientific strategy for experimentation across Statsig Cloud and warehouse-native deployments.
• Partner with data scientists, engineers, product managers, and customers to improve experimentation capabilities and address customer challenges.

Requirements

• Strong hands-on data science background in experimentation, statistics, or causal inference; data engineering experience alone is insufficient.
• Experience leading teams of 10–15 people building and productionizing statistically rigorous, data-intensive products.
• Familiarity with 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 into an experimentation roadmap.

Nice to have

• 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, B2B, marketplace, or social products with complex units of analysis.

Culture & Benefits

• Medical, dental, and vision coverage, with employer-paid premiums on select plans.
• 401(k) retirement plan with employer matching.
• Flexible time off and paid holidays.
• Wellness, commuter, learning and development, and home-office equipment stipends.
• Paid parental leave, fertility, adoption, surrogacy, backup childcare, and mental health benefits.
• Employee Stock Purchase Program, mentorship, management training, charitable giving grants, and paid volunteer time off.