Engineering Manager, Experimentation Data Infrastructure

A strong data science background, with

Experience solely in data engineering is not sufficient for this role.

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.

Excellent ​M​edical, ​D​ental and ​V​ision 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 your eligible pay each pay period up to $2,000 annually

Flexible time off, ​p​aid holidays, and more

Generous stipends to spend on what matters most to you, whether that’s wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), new hire home office equipment, and much more

Excellent Parental benefits including​:​ 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 employee access to Modern Health coaching & therapy sessions

We’re looking for an Engineering Manager to lead the Data Infrastructure team within Statsig Experiment at Amplitude.

You will lead a multidisciplinary team of software engineers, data engineers, and data scientists responsible for the systems that power experimentation at scale.

Collecting and importing experiment exposures, custom events, OpenTelemetry data, and real user monitoring data across SDKs, streaming systems, cloud storage, and customer data warehouses.

Building distributed computation systems that transform raw data into accurate, timely experiment results.

Developing and productionizing the statistical methods that help customers make trustworthy decisions from their experiments.

This is not a traditional data engineering management role.

We offer competitive pay and benefits packages that reflect our commitment to the health and well-being of our Ampliteers.

Our customers love us! They've said we're the

#1 product analytics solution

for 23 quarters in a row on G2.

We care a lot about product innovation. We've made significant investments in talent and infrastructure to build the most powerful AI analytics platform on the market.

We invest in our people. We offer mentorship programs, management training, and wellness initiatives.

We give back to our communities. We give every Ampliteer a charitable giving grant and paid volunteer time off.