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Amplitude is seeking an Engineering Manager to lead the Data Infrastructure team within Statsig Experiment, the company's experimentation platform. You will manage a multidisciplinary team of 10-15 software engineers, data engineers, and data scientists responsible for building systems that power experimentation at scale.
The team owns three critical areas: (1) Data ingestion—collecting and importing experiment exposures, custom events, OpenTelemetry data, and real user monitoring data across SDKs, streaming systems, cloud storage, and customer data warehouses; (2) Data computation—building distributed computation systems that transform raw data into accurate, timely experiment results; and (3) Stats engine—developing and productionizing statistical methods that help customers make trustworthy decisions from experiments.
This role uniquely bridges data science, statistics, and engineering. You will define technical and scientific strategy for advancing experimentation across both Statsig Cloud and warehouse-native deployments. You'll partner with data scientists and engineers to translate new statistical and causal inference methods into scalable, reliable product capabilities. You'll evolve data and computation architecture to support increasingly complex experiment designs, metrics, and customer datasets, and engage directly with customers to understand their experimentation challenges.
Ideal candidates have a strong data science background with hands-on experience in experimentation, statistics, or causal inference (data engineering experience alone is insufficient). You should have proven experience leading teams that build and productionize statistically rigorous, data-intensive products. Familiarity with advanced experimentation methods—variance reduction, sequential testing, Bayesian inference, causal effects modeling, heterogeneous treatment effects—is essential. Experience building large-scale data ingestion and distributed computation systems across cloud and data warehouse environments is required.
Particularly valuable: advanced degree in statistics, mathematics, computer science, economics, or quantitative field; experience with experimentation platforms, feature management systems, product analytics, or ML infrastructure; warehouse-native product experience with Snowflake, BigQuery, Databricks, or similar; experience supporting experimentation for large-scale consumer products, B2B products, marketplaces, or social networks with complex units of analysis.
Amplitude is the leading AI analytics platform serving over 4,700 customers including Atlassian, Burger King, NBCUniversal, and Square. The company ranked #1 across multiple categories in G2's Winter 2026 Report.
