About the role...As the manager and team lead of the Experiments Team, you will oversee the A/B testing system that powers Duolingo's product development lifecycle. Experiments play an essential role at Duolingo, with almost all product changes going through some form of test. You will manage our in-house Experiment Platform that is responsible for defining experiments, executing them in the app, and measuring their outcome. While the role is platform-focused, you will remain highly connected to the product in all parts of Duolingo, shaping how we use A/B testing to build the best possible experience for our learners.
You will...- Expand the capabilities on our Experiment Platform to support more sophisticated types of A/B tests and statistical methods.
- Empower teams to confidently evaluate their key metrics and easily gate access to new functionality.
- Help shape the future of the accelerated feature shipping at Duolingo by enabling improved experiment automation and backend-based control of the learner experience.
- Scale the Experiment Platform to be able to handle dramatically increased experiment velocity in a statistically sound and cost-efficient manner.
- Partner with product teams to devise unique approaches to measuring complex product scenarios and to advise on experiment strategy.
- Shape the future of the Duolingo product lifecycle through A/B testing.
You have...- Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent.
- A track record of building scalable infrastructure and working with large datasets.
- Experience with A/B testing, either via supporting experiment infrastructure or using A/B tests in product development.
- Strong cross-functional leadership and communication skills, especially between product and platform teams.
- The ability to work from or relocate to Pittsburgh, PA or New York, NY.
☆ Exceptional candidates will have...- 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.
The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!
Salary Range:
$204,000-$306,000 USD
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Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact [redacted].
