Engineering Manager (Experimentation Data Infrastructure)New San Francisco, CA

About the role

We are seeking an Engineering Manager to lead the Data Infrastructure team within Statsig Experiment at Amplitude. The role involves leading a multidisciplinary team of software engineers, data engineers, and data scientists responsible for the systems that power experimentation at scale.

Responsibilities

• Lead and grow the team responsible for Statsig’s data ingestion, experiment computation, and stats engine.
• Define the technical and scientific strategy for advancing experimentation across both Statsig Cloud and warehouse-native deployments.
• Partner with data scientists and engineers to turn new statistical and causal inference methods into scalable, reliable product capabilities.
• Evolve our data and computation architecture to support increasingly complex experiment designs, metrics, and customer datasets.
• Engage with customers to understand their experimentation challenges and translate them into platform and methodology improvements.

Requirements

The ideal candidate should have 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 is required. Familiarity with experimentation methods such as variance reduction, sequential testing, Bayesian inference, causal effects modeling, or heterogeneous treatment effects is also essential. Experience building large-scale data ingestion and distributed computation systems across cloud and data warehouse environments is valuable.

Qualifications

• Absolutely must have 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 is highly desirable.
• Familiarity with warehouse-native products or executing computation within Snowflake, BigQuery, Databricks, or similar environments is beneficial.
• Experience supporting experimentation for large-scale consumer products, B2B products, marketplaces, social networks, or other settings with complex units of analysis is advantageous.

Skills

• 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.

Benefits

At Amplitude, we offer competitive pay and benefits packages that reflect our commitment to the health and well-being of our employees. Some of our benefit programs include excellent medical, dental, and vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans. We also offer a 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually. Flexible time off, paid holidays, and more are also provided. Additionally, we provide generous stipends to spend on what matters most to you, whether that's wellness, commuter transit/parking, learning and development, new hire home office equipment, and much more. Mental health and wellness benefits include no-cost employee access to Modern Health coaching & therapy sessions. We also offer parental benefits, including 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, and Back-up Child Care support.

Pay

Based on legislation in various locations, the total target cash range for this role is as follows:

• Colorado: $227,000 - $341,000
• New York City: $254,000 - $381,000
• San Francisco Bay Area of California: $254,000 - $381,000
• California outside of the San Francisco Bay Area: $227,000 - $341,000
• Washington state: $227,000 - $341,000

Schedule

Our schedule is flexible and accommodates remote work options.