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Engineering Manager of Experimentation Data Infrastructure

Amplitude · San Francisco · $227k–$381k

The role

Amplitude is hiring an Engineering Manager to lead the Data Infrastructure team within Statsig Experiment. The role involves managing a multidisciplinary team responsible for data ingestion, distributed computation, and the stats engine that powers experimentation at scale. The ideal candidate has a strong data science background and experience connecting statistical methods with production systems.

Pay
$227k–$381k
Location
San Francisco
Work mode
Hybrid
Employment
Volunteer
Level
Manager

What we know that the posting doesn’t say

  • Seen 1 day agostill listed on the employer’s careers page
  • Posted 47 days agothe first time we saw it
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About Amplitude

Amplitude is an AI analytics platform that helps companies build better products and digital experiences. It serves over 4,700 customers including Atlassian, Burger King, NBCUniversal, and Square.

What you would do

  • Lead and grow the team responsible for data ingestion, experiment computation, and stats engine
  • Define technical and scientific strategy for advancing experimentation across cloud and warehouse-native deployments
  • Partner with data scientists and engineers to turn new statistical methods into scalable product capabilities
  • Evolve data and computation architecture to support complex experiment designs and customer datasets
  • Engage with customers to understand experimentation challenges and translate them into platform improvements

Must have

  • Strong data science background with hands-on experimentation, statistics, or causal inference experience
  • Experience leading teams of 10-15 members building statistically rigorous data-intensive products
  • Familiarity with experimentation methods like variance reduction, sequential testing, Bayesian inference
  • Experience building large-scale data ingestion and distributed computation systems across cloud and data warehouses
  • Ability to connect statistical innovation, data architecture, and customer needs to define a roadmap

Nice to have

  • Advanced degree in statistics, mathematics, computer science, economics, or quantitative field
  • Experience with experimentation platforms, feature management, product analytics, or ML infrastructure
  • Experience building warehouse-native products or computation within Snowflake, BigQuery, or Databricks
  • Experience supporting experimentation for large-scale consumer or B2B products, marketplaces, or social networks

What you get

  • 100% employer-paid medical, dental, and vision premiums on select plans
  • 401(k) retirement plan with employer match up to $2,000 annually
  • Flexible time off and paid holidays
  • Monthly wellness and commuter stipends, quarterly learning and development stipend
  • 12 weeks paid parental leave, fertility benefits, adoption support, and backup child care
  • Employee Stock Purchase Program (ESPP)

Key skills

  • experimentation
  • statistics
  • causal inference
  • data ingestion
  • distributed computation
  • snowflake
  • bigquery
  • databricks
  • machine learning
  • product analytics
  • feature management

Amplitude is the leading AI analytics platform, helping over 4,700 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…

Extracted from the employer’s posting. Read it in full on Amplitude’s careers page

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