Senior Product Manager, Paper Recommendations - Academia
San Francisco, CA
About the Job
About Us
Academia.edu is the world’s leading platform for researchers and scholars to share their work, discover research and connect with fellow academics globally. Our bold vision: to democratize and accelerate the world's research, enhancing the speed of scientific discovery and technological progress for the benefit of everyone. We imagine a world where accessing academic papers is effortless, keeping track of cutting-edge research is seamless and collaborating with researchers is easier than ever before. Our platform empowers hundreds of millions of scholars worldwide to push the boundaries of human understanding. We believe in the power of knowledge to change lives and the world, and our commitment to this mission drives everything we do.
Join us as we continue to redefine what's possible in the world of research. Discover careers that challenge, inspire and propel you toward a future where your ideas can truly change the world. At Academia.edu, we're not just shaping the future of research—we're shaping the future of possibilities.
Please note that this role is in the San Francisco Bay Area.
We're excited to have a packed and lively office on Tuesdays and Thursdays. Twice a week those of us in the Bay Area come to our office located in the Financial District for All Hands, intense collaboration, brainstorming activities, and fun events. There are small rooms for 1-1 mentoring sessions or heads down work, and larger rooms for team activities. We continue to support a flexible work environment for all of life’s surprises and needs with generous time off and flexible daily work schedules.
The Role
We are seeking a Senior Product Manager for our Paper Recommendations team. In this pivotal role, you will lead a newly formed team focused on optimizing our recommendation algorithms to ensure users receive the most relevant and high-quality research. As a subject matter expert in ranking systems, you will bring best practices and techniques to the team, guiding and mentoring both colleagues and the organization. You will collaborate with cross-functional teams, including data science, engineering, and UX, to enhance our recommendation system and improve the user experience.
Source : Academia
