Amplitude
Engineering Manager of Experimentation Data Infrastructure
San Francisco, CA
Sponsorship not specified$10k-$15kDetected 2 days ago
BigQuerySnowflakeDatabricksMachine LearningData EngineeringData ScienceAgentic AIStatisticsA/B TestingResearchMentoring
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role82
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70
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About the role
- Ranked #1 across multiple categories in G2's Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams.
- This is not a traditional data engineering management role.
Responsibilities
- Lead and grow the team responsible for Statsig's data ingestion, experiment computation, and stats engine.
- 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.
- Experience leading teams (10-15 team members) that build and productionize statistically rigorous, data-intensive products.
- Experience building large-scale data ingestion and distributed computation systems across cloud and data warehouse environments.
- Experience building warehouse-native products or executing computation within Snowflake, BigQuery, Databricks, or similar environments.
- You will help build the data and computation foundation for Statsig while creating an environment where new data science innovations can move from research and prototypes into production-advancing both our product and the broader field of experimentation.
- Ownership: We take the initiative to solve problems that drive our shared company success.
- 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 than ever.
Requirements
- An advanced degree in statistics, mathematics, computer science, economics, or another quantitative field.
- You'll Be a Great Addition to the Team If You Have - A strong data science background, with hands-on experience in experimentation, statistics, or causal inference.
- You'll Be a Great Addition to the Team If You Have
Compensation
- $254,000 - $381,000 total target cash (inclusive of bonus or commission)
- Based on legislation in California, the following details are for individuals who will work for Amplitude in California outside of the San Francisco Bay Area. California salary range: $227,000 - $341,000 total target cash (inclusive of bonus or commission)
- Based on legislation in Washington state, the following details are for individuals who will work for Amplitude in Washington state. Washington salary range: $227,000 - $341,000 total target cash (inclusive of bonus or commission)
- 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually
Benefits
- Amplitude's Commitment to Diversity Equity & Inclusion (DEI):
Company info
- Data ingestion:
- Collecting and importing experiment exposures, custom events, OpenTelemetry 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 productionizing the statistical methods that help customers make trustworthy decisions from their experiments.
- We are looking for a leader with a solid data science and statistical foundation who can connect advances in experimentation methodology with scalable production systems.
- You will help set our technical and scientific direction, translating new statistical methods and machine learning research into capabilities that customers can use reliably at scale.
- You'll partner closely with data scientists, engineers, product managers, and customers to advance the state of experimentation.
- The ideal candidate is equally comfortable discussing causal inference and statistical power with data scientists, distributed computation architectures with engineers, and experimentation strategy with customers.
- 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
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This listing is sourced directly from Amplitude's careers page and normalized into a canonical job model.