Engineering Manager

Job--cb3e-473b-a593-637def
813587

Location:

San Francisco, California, United States

Employment type:

FULL TIME Posted:
Amplitude is the leading AI analytics platform, helping over 5,200 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams.

Learn more at  an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.

We’re looking for an Engineering Manager to lead the Data Infrastructure team within Statsig Experiment  will lead a multidisciplinary team of software engineers, data engineers, and data scientists responsible for the systems that power experimentation  team owns three critical areas:

Data ingestion:
Collecting and importing experiment exposures, custom events, Open Telemetry data, and real user monitoring data across SDKs, streaming systems, cloud storage, and customer data warehouses.

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

Stats engine:
Developing and product ionizing the statistical methods that help customers make trustworthy decisions from their experiments.

You will help set our technical and scientific direction, translating new statistical methods and machine learning research into capabilities that customers can use reliably ’ll partner closely with data scientists, engineers, product managers, and customers to advance the state of experimentation. The ideal candidate is well versed in distributed computation architectures with familiarity using or building experimentation platforms.

What You’ll DoLead 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.

You’ll Be a Great Addition to the Team If You Have Experience leading teams (5-10 team members) that build and product ionize 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.

Particularly Valuable Experience 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, Big Query, Databricks, or similar environments.

Experience supporting experimentation for large-scale consumer products, B2B…