About Us
Academia.eduis a venture-backed, for-profit, and profitable company based in San Francisco. We are recognized as the world's leading platform for researchers and scholars to share work, discover research, and connect with academics globally. Our bold vision is 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 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.
Our office comes alive on Mondays, Tuesdays, and Thursdays! Three times a week, our Bay Area team gathers in our office located in San Francisco's Financial District (580 California St) for All Hands meetings, collaborative sessions, innovation-driven brainstorming, and events that bring us closer together. Our space has everything we need—from cozy rooms for 1:1 mentoring and focused work to larger rooms designed for team activities.
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
$190,000 - $240,000 a year
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 ourCareers 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.