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Marketing Technology Manager
Company | Duolingo |
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Location | New York, NY, USA |
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Salary | $93500 – $284000 |
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Type | Full-Time |
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Degrees | Bachelor’s |
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Experience Level | Mid Level |
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Requirements
- Minimum of a Bachelor’s degree in a related field
- At least 2 years of experience working in the app marketing technology or app marketing data space
- Experience with digital privacy policies such as Apple’s App Tracking Transparency Framework
- Strong expertise using SQL to extract, clean, and transform data in large, complex, nested, databases
- Proficiency with data visualization tools such as Tableau or Data Studio for data analysis, insight synthesis and presentation
- Strong ability to translate technical details into digestible summaries for a non-technical audience
- Excellent written and verbal communication skills with meticulous attention to detail
- Demonstrated strong intellectual curiosity
- Able to work from or relocate to our New York office
Responsibilities
- Be the thought leader and business owner for all MarTech related topics for Duolingo
- Manage data integrations for our mobile attribution platforms (Mobile Measurement Partners, Google Firebase SDK, etc.)
- Collaborate with engineering on SDK implementations, privacy regulation compliance, and data sharing and backend integration for our performance marketing campaigns
- Own existing marketing reporting, data, and dashboards
- Lead root cause investigations to diagnose data issues and implement fixes
- Partner with marketers to develop new dashboards and metrics as needed
- Keep up to date with industry trends such as evolving data privacy policies, and propose internal solutions to mitigate impact
- Serve as the main point of contact for agency and ad platform analytics teams, and lead joint data projects
- Act as the main point of contact with our Growth Infrastructure engineering team by translating business needs to define technical project requirements
Preferred Qualifications
- Bachelor’s Degree in Statistics, Mathematics, Economics, Computer Science, or another related STEM degree field
- Expertise working with R, Python, or other statistical software
- Experience querying large data warehouses (e.g. AWS/Redshift and Google Cloud)
- An impressive Duolingo XP or streak!