Engineering Manager, Experimentation Data Infrastructure

Amplitude
San Francisco
Workplace: HybridFull timeUSD 254,000 - 381,000 annuallyFunction: Software EngineeringSkills: ["Leadership","Communication","Problem-solving"]

Lead the Data Infrastructure team within Statsig Experiment, responsible for experimentation at scale. You’ll drive data ingestion, distributed computation, and the statistical “stats engine” that turns raw data into trustworthy experiment results. Partner with data scientists, engineers, product managers, and customers to translate causal inference and experimentation methodology into scalable, reliable production systems across Statsig Cloud and warehouse-native deployments.

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Amplitude
Amplitude
1 month ago

Engineering Manager, Experimentation Data Infrastructure

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Last checked: 1 hour agoStatus: Live

Job Summary

Lead the Data Infrastructure team within Statsig Experiment, responsible for experimentation at scale. You’ll drive data ingestion, distributed computation, and the statistical “stats engine” that turns raw data into trustworthy experiment results. Partner with data scientists, engineers, product managers, and customers to translate causal inference and experimentation methodology into scalable, reliable production systems across Statsig Cloud and warehouse-native deployments.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Lead 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 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 data and computation architecture to support increasingly complex experiment designs, metrics, and datasets.
  • •Engage with customers to understand experimentation challenges and translate them into platform and methodology improvements.

Pay and Benefits

Salary: USD 254,000 - 381,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401k

Key Requirements

  • •Hands-on data science foundation in experimentation, statistics, and/or causal inference (experience solely in data engineering is not sufficient).
  • •Experience leading teams (10–15 members) building and productionizing 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 an experimentation roadmap.
Experience:ExperimentationStatisticsCausal inferenceData ingestionDistributed computation
Skills:LeadershipCommunicationProblem-solving
Languages:English
Tech Stack:OpenTelemetrySnowflakeBigQueryDatabricks

Company Brief

Amplitude
Provides a product analytics platform that helps teams understand user behavior, optimize digital products, and drive growth through event-based analytics, experimentation, and data-driven insights.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 100M to 250M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2012
WebsiteLinkedIn