Engineering Manager (Experimentation Data Infrastructure)

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 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

• 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.

Qualifications

• 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.

Skills

• Strong communication skills to collaborate with data scientists, engineers, product managers, and customers.
• Ability to translate statistical innovation into scalable, reliable product capabilities.
• Experience with distributed computing and data pipelines.
• Understanding of statistical methods and machine learning techniques relevant to experimentation.

Benefits

Amplitude offers competitive pay and benefits packages that reflect our commitment to the health and well-being of our Ampliteers. 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; 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; 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; excellent parental benefits including 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, and Back-up Child Care support; mental health and wellness benefits including no-cost employee access to Modern Health coaching & therapy sessions; and an Employee Stock Purchase Program (ESPP).

Pay

Based on legislation in various regions, the total target cash range for this role varies from $227,000 to $341,000, inclusive of bonus or commission.

Schedule

Amplitude operates on a standard full-time schedule.