Senior Product Manager, Paper Recommendations

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.

Key Responsibilities

• Build out the first product roadmap for this newly formed team
• Define and navigate the explore-exploit trade-off in recommendation systems and how to balance user exploration with personalized content exploitation
• Educate the product organization on ranking/recommendations best practices
• Lead and coordinate cross-functional teams across engineering and data
• Manage product lifecycle from ideation to launch and post-launch optimization
• Drive business impact (i.e. more engagement with research through better recommendations)

Requirements

• Bachelor's degree in a related field; advanced degree preferred
• 5+ years of experience in product management, preferably in edtech or media-tech
• Strong understanding of recommendation systems, machine learning, and data science principles
• Proven track record of successfully launching and managing recommendation products
• Excellent analytical and problem-solving skills
• Exceptional communication skills, both written and oral
• Customer-centric approach with a knack for data-driven validation
• Self-starter with a proactive approach to identifying and solving problems
• Demonstrated ability to make a significant business impact
• Previous startup experience is essential

Nice to Haves

• A stint in growth-stage tech companies during a ‘high-growth’ period, particularly with a subscription model
• Background in working with Large Language Models (LLMs)
• Passion for education and academic research

We value diversity and are committed to creating an inclusive environment for all employees. We encourage applications from individuals of all backgrounds and experiences.

Benefits

Comprehensive Healthcare Coverage: 100% employer-paid medical, dental, and vision insurance for you and your dependents

Generous Time Off: 21 paid vacation days, 12 paid company holidays, and unlimited sick days; paid parental leave and other leaves for life’s needs; 6-week paid sabbatical every 4 years

Flexible Work Arrangements: Flexible daily schedules within a hybrid work environment, annual remote-office budget, and monthly WFH internet stipend

Competitive Compensation: Competitive salary, 401k plan, and stock options

Mission-Driven Company: Join a mission-driven company to accelerate and democratize the world’s research

Learn more on our Careers Page!

Academia is a proud equal-opportunity employer and we are committed to hiring and supporting a diverse workforce. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.