We're a small team with a big mission - to improve lives through learning. We're looking for folks who are incredibly hungry, passionate, smart, fun, scrappy, (we could go on :-)) to help us achieve that mission. With our vast catalog of courses created by instructors teaching in different languages, styles, and topics, your job is to help students navigate our catalog and find the perfect course via our on-site search engine (the primary way students on Udemy explore our catalog today).
The person in this role will be working closely with a team of machine learning engineers and backend engineers, but will also interact and collaborate with other product managers and data analysts remotely, to optimize and innovate on our on-site search engine.
With a mission to improve lives through learning, Udemy is a global marketplace for learning and teaching online. More than 24 million students learn from an extensive library of over 80,000 courses taught by 35,000 instructors in over 50 languages. Whether learning for professional development or personal enrichment, students can master new skills through self-paced, on-demand courses, while instructors have a way to share their knowledge with the world. For companies, Udemy for Business offers subscription access to a collection of business-relevant courses as well as a simple platform to host and distribute their own content in one central place.
We’re a close-knit bunch that enjoys problem-solving and collaboration, and we share a serious commitment to delivering the best possible learning and teaching experiences. Udemy’s culture encourages innovation, creativity, passion, and teamwork. We also celebrate our milestones and support each other every day.
Founded in 2010, Udemy is privately owned and headquartered in San Francisco’s SOMA neighborhood with offices in Dublin, Ireland, Sao Paulo, Brazil, and Ankara, Turkey. Compensation includes full-time salary, equity compensation plan, and competitive benefits including healthcare, commuter benefits, parental leave, and a discretionary time off policy.
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