Coursera can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. Our interviews and onboarding are conducted virtually, a part of being a remote-first company.
Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 92 million registered learners as of Sept. 30, 2021. Coursera partners with over 250 leading university and industry partners to offer a broad catalog of content and credentials, including Guided Projects, courses, Specializations, certificates, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in many high-demand fields, including data science, technology, and business. Coursera became a B Corp in February 2021.
Job Overview:
We are looking for a Product Manager to join our Revenue Growth product team. In this role, you will lead the efforts to build a personalized and delightful discovery experience where learners can find products to meet their learning, with a specific emphasis on our premium credentials, such as Degrees.
You will have a direct impact on increasing consumer revenue and degree recruitment goals by setting the vision for how each consumer segment discovers content throughout their lifetime; and scaling the discovery and nurture experience for high consideration products, such as Degrees.
The growth and personalization Product Manager will own the user-facing consumer discovery experience including search, recommendations, onboarding, develop new discovery levers for retention, and scale discovery mechanisms for merchandising stackable credentials to nurture degree seeking learners.
Responsibilities:
Basic Qualifications:
4+ years of product management experience; some familiarity with ML, recommender systems, architecture and experience working with data scientists.
Preferred Qualifications:
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