Engineering Manager (Data Infrastructure)

Location: San Francisco, California; hybrid role. The position is also associated with U.S. locations including Colorado, New York City, California, and Washington state.

Salary range: $254,000–$381,000 total target cash for the San Francisco Bay Area; other U.S. ranges are listed for Colorado, New York City, California outside the Bay Area, and Washington.

Company

hirify.global is an AI analytics platform used by more than 5,200 customers to analyze, test, and optimize digital products and user experiences.

What you will do

• Lead and grow a multidisciplinary team of software engineers, data engineers, and data scientists responsible for Statsig's data ingestion, experiment computation, and statistical engine.
• Define the technical and scientific strategy for experimentation across Statsig Cloud and warehouse-native deployments.
• Partner with data scientists and engineers to productionize statistical and causal inference methods as scalable, reliable product capabilities.
• Evolve data and computation architecture for complex experiment designs, metrics, and customer datasets.
• Engage with customers to understand experimentation challenges and translate them into platform and methodology improvements.

Requirements

• Experience leading teams of 5–10 people building and productionizing statistically rigorous, data-intensive products.
• Familiarity with experimentation methods including 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.
• Advanced degree in statistics, mathematics, computer science, or another quantitative field.

Nice to have

• 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.

Culture & Benefits

• Values include humility, ownership, growth mindset, and customer centricity.
• Medical, dental, and vision insurance, including employer-paid premiums on select plans.
• 401(k) plan with employer match, flexible time off, and paid holidays.
• Stipends for wellness, commuting, learning and development, and home office equipment.
• Paid parental leave, fertility and adoption support, backup childcare, mental health services, and an employee stock purchase program.
• Mentorship, management training, wellness initiatives, charitable giving grants, and paid volunteer time off.