Amplitude

Engineering Manager, Experimentation Data Infrastructure

Amplitude$254K — $381K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data science, statistics, or causal inference, with hands-on experimentation expertise.
  • Proven leadership experience managing teams of 10-15 with a focus on data-intensive products.
  • Familiarity with statistical methods like Bayesian inference and causal effects modeling.
  • Expertise in building large-scale data ingestion and distributed computation systems, particularly in cloud environments.
  • Ability to connect customer needs with statistical innovations to drive experimentation strategies.

Responsibilities

  • Lead and develop the Data Infrastructure team focused on data ingestion and computation.
  • Define the technical strategy for advancing experimentation across various deployments.
  • Collaborate with data scientists to implement new statistical methods into scalable products.
  • Evolve architecture to support complex experiment designs and customer datasets.
  • Engage directly with customers to address their experimentation challenges and improve methodologies.

Benefits

  • Comprehensive Medical, Dental, and Vision insurance with 100% employer-paid premiums.
  • 401(k) retirement plan with up to 1% employer match.
  • Flexible time off, including paid holidays and generous stipends for wellness and development.
  • Extensive parental benefits, including 12 weeks of paid leave and fertility support.
  • Mental health resources including access to coaching and therapy sessions.
Full Job Description
About the Role & Team

We're looking for an Engineering Manager to lead the Data Infrastructure team within Statsig Experiment at Amplitude. You will lead a multidisciplinary team of software engineers, data engineers, and data scientists responsible for the systems that power experimentation at scale.

The team owns three critical areas:
  • 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.

This is not a traditional data engineering management role. 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.
What You'll Do
  • 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 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
  • A strong data science background, with hands-on experience in experimentation, statistics, or causal inference. Experience solely in data engineering is not sufficient for this role.
  • Experience leading teams (10-15 team 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.
  • 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, 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.
Why This Role Matters

Experimentation platforms cannot advance through infrastructure work or statistical research alone. New methodologies only create value when they can be implemented correctly, computed efficiently, and delivered through systems customers can trust.

This leader will bring those disciplines together. 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.

We care about the well-being of our team: We offer competitive pay and benefits packages that reflect our commitment to the health and well-being of our Ampliteers.

Some of our benefit programs include:
  • 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 to spend on what matters most to you, whether that's wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), new hire home office equipment, and much more
  • 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
  • Employee Stock Purchase Program (ESPP)


This role is eligible for equity, benefits and other forms of compensation.

Based on Colorado law, the following details are for individuals who will work for Amplitude in Colorado. Colorado range: $227,000 - $341,000 total target cash (inclusive of bonus or commission)

Based on legislation in New York City, the following details are for individuals who will work for Amplitude in New York City. New York City salary range: $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 San Francisco Bay Area of California. Salary range: $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)

Based on legislation in Washington state, the following details are for individuals who will work for Amplitude in Washington only: unlimited PTO, 10 to 13 holidays annually (will vary), medical dental and vision PPO and CDHP plans. Finally, a company sponsored 401(k) retirement plan.

#LI-Hybrid

About Amplitude

Amplitude is a San Francisco-based technology company that provides analytics software for businesses. The company's platform allows businesses to track user behavior and analyze data to improve their products and services. Amplitude was founded in 2012 and has since grown to serve over 1,000 customers, including Microsoft, Twitter, and HubSpot. The company has been recognized for its innovative approach to analytics, including its use of machine learning and other advanced technologies. Amplitude has also been praised for its commitment to diversity and inclusion, including its efforts to increase the representation of women and underrepresented minorities in the tech industry.
Learn more about Amplitude
Size
500 employees
Market Cap
$1.2 billion
Industry
Founded
2012
NASDAQ

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