Senior Engineering Manager, Data Platform

Duolingo•Pittsburgh, PA

3d•$204,000 - $306,000

About The Position

Duolingo is hiring a Senior Engineering Manager to lead the Experiments Team and oversee the A/B testing system that powers the product development lifecycle. The role manages Duolingo’s in-house Experiment Platform, which defines experiments, executes them in the app, and measures their outcomes. Although platform-focused, the position stays closely connected to product teams across Duolingo and helps shape how A/B testing is used to improve the learner experience. The manager will expand the platform to support more sophisticated A/B tests and statistical methods, help teams evaluate metrics and gate access to new functionality, and enable faster feature shipping through experiment automation and backend-based control of the learner experience. The role will also scale the platform to support significantly increased experiment velocity in a statistically sound and cost-efficient way, and partner with product teams on measurement approaches and experiment strategy. The position can be based in or relocated to Pittsburgh, PA, or New York, NY. Base salary is supplemented by equity compensation. The posted base salary range is $204,000–$306,000 USD, and the actual offer depends on factors including work experience, skills, and internal peer comparisons.

Requirements

Experience leading, managing, and building a team of software engineers.
Demonstrated ability to hire, develop, and retain talent.
Track record of building scalable infrastructure and working with large datasets.
Experience with A/B testing, either through supporting experiment infrastructure or using A/B tests in product development.
Strong cross-functional leadership and communication skills, especially between product and platform teams.
Ability to work from or relocate to Pittsburgh, PA, or New York, NY.

Nice To Haves

Prior experience building an experimentation platform or A/B testing-related tooling.
Experience operating in a high-speed product development environment.
Comfort with the statistical methods behind hypothesis testing.

Responsibilities

Lead and manage the Experiments Team.
Oversee Duolingo’s in-house Experiment Platform for defining, executing, and measuring experiments.
Expand platform capabilities to support more sophisticated A/B tests and statistical methods.
Enable teams to evaluate key metrics confidently and gate access to new functionality.
Improve experiment automation and backend-based control of the learner experience to support accelerated feature shipping.
Scale the platform to handle substantially higher experiment velocity in a statistically sound and cost-efficient manner.
Partner with product teams to develop approaches for measuring complex product scenarios and advise on experiment strategy.
Shape how A/B testing informs Duolingo’s product lifecycle.