Engineering Manager, Experimentation Data… at Amplitude · San…

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. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at http://amplitude.com.

As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.

Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive.

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.

Our values:

At Amplitude, our values guide how we show up for one another and for our customers:

• Humility: We operate from a place of empathy and openness, seeking to understand many points of view.
• Ownership: We take the initiative to solve problems that drive our shared company success.
• Growth Mindset: We’re tenacious in the face of challenges and seek feedback in order to grow ourselves and others.
• Customer Centricity: We put the customer at the center of everything we do and are deeply committed to their success.

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 ​M​edical, ​D​ental and ​V​ision 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, ​p​aid 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)

Other fun facts about Amplitude:

• Our customers love us! They've said we're the #1 product analytics solution for 23 quarters in a row on G2.
• We care a lot about product innovation. We've made significant investments in talent and infrastructure to build the most powerful AI analytics platform on the market.
• We invest in our people. We offer mentorship programs, management training, and wellness initiatives.
• We give back to our communities. We give every Ampliteer a charitable giving grant and paid volunteer time off.
• We were founded in 2012, went public via a direct listing in September 2021, and are now trading under the ticker $AMPL.
• We’re a global and fast-growing team! We have employees around the world and offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo.
• Our mascot is Data Monster, who loves to chow down on numbers, charts, and graphs. Nom nom.

Amplitude provides equal employment opportunities (EEO). All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.

SF ROLES ONLY: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Amplitude provides equal employment opportunities (EEO). All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

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