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← Amplitude

Engineering Manager, Experimentation Data Infrastructure

Amplitude
Location
San Francisco, CA
Posted
2 months ago
Department
Engineering : Blades
Salary
$227,000 - $341,000
What they actually want (must-haves)
  • Strong data science background with hands-on experience in experimentation, statistics, or causal inference
  • Experience leading teams of 10-15 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
  • 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, 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
What the job really is

As an Engineering Manager at Amplitude, you will lead the Data Infrastructure team responsible for powering experimentation at scale. Your role involves overseeing data ingestion, computation, and statistical methods, ensuring that new methodologies are effectively implemented and reliable for customers. You will collaborate with data scientists, engineers, and product managers to advance experimentation strategies and improve platform capabilities.

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 your eligible pay each pay period up to $2,000 annually
  • Flexible time off, paid holidays, and more
  • Generous stipends for wellness, commuter transit/parking, learning and development, and home office equipment
  • 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
Things to weigh
  • This role is not a traditional data engineering management position; a strong data science background is essential.
  • The position requires a blend of statistical knowledge and engineering leadership, which may not suit candidates focused solely on data engineering.
  • The salary range is provided but varies based on location, which may affect candidates from different regions.
Job score3.8/5
Benefits4/5
Freshness1/5
Career value4/5
Role clarity5/5
Pay transparency5/5

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