Engineering Manager

Amplitude is seeking an Engineering Manager to lead the Data Infrastructure team within Statsig Experiment. The leader will manage a multidisciplinary team of software engineers, data engineers, and data scientists responsible for the systems that power experimentation at scale. The team owns data ingestion, data computation, and the stats engine, and the role helps set technical and scientific direction by translating new statistical methods and machine learning research into capabilities customers can use reliably at scale. The role is hybrid.

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

Experience leading teams (5-10 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

Nice to have

An advanced degree in statistics, mathematics, computer science, 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

Benefits

Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans; 401(k) retirement plan with an employer match of up to 1% of eligible pay each pay period up to $2,000 annually; Flexible time off and paid holidays; Generous stipends for wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), and new hire home office equipment; 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support; Mental health and wellness benefits including no cost access to Modern Health coaching & therapy sessions; Employee Stock Purchase Program (ESPP); Mentorship programs, management training, and wellness initiatives; Charitable giving grant and paid volunteer time off