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.
Decision scientists draw on a combination of quantitative methods and product intuition to find actionable insights that drive key product decisions at Udemy, answering questions such as: what makes a course great? are ratings a reliable signal of course quality in a two-sided marketplace? how should courses be priced to reflect their value? what are the drivers of long-term customer satisfaction? what bottlenecks exist in the course creation process?
As a decision science manager at Udemy, you’ll be responsible for growing and leading a team of decision scientists to partner directly with product, marketing, design, and engineering teams throughout the company. This role isn’t about working in a single well-scoped area. Rather, we’re looking for a sharp, independent data leader with a talent for drawing structure out of ambiguity, a relentless focus on driving meaningful business impact, and a passion for improving lives through learning!