Academia.edu
Senior Product Manager, Paper Recommendations
Academia.edu, San Francisco, California, United States, 94199
Company Overview
Academia.edu is a venture-backed, for-profit business based in San Francisco whose mission is to accelerate the world’s research. Our platform enables researchers worldwide to effortlessly find and access academic papers, stay current with peers and relevant research areas, and enhance their ability to publish and distribute their work. With over 100 million academic papers, a vast user base of over 250 million and adoption by over half of the academic community, we're at the forefront of transforming the $25 billion academic publishing industry.
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 teamDefine and navigate the explore-exploit trade-off in recommendation systems and how to balance user exploration with personalized content exploitationEducate the product organization on ranking/recommendations best practicesLead and coordinate cross-functional teams across engineering and dataManage product lifecycle from ideation to launch and post-launch optimizationDrive business impact (i.e. more engagement with research through better recommendations)
Requirements
Bachelor's degree in a related field; advanced degree preferred5+ years of experience in product management, preferably in edtech or media-techStrong understanding of recommendation systems, machine learning, and data science principlesProven track record of successfully launching and managing recommendation productsExcellent analytical and problem-solving skillsExceptional communication skills, both written and oralCustomer-centric approach with a knack for data-driven validationSelf-starter with a proactive approach to identifying and solving problemsDemonstrated ability to make a significant business impactPrevious startup experience is essential
Nice to Haves
A stint in growth-stage tech companies during a ‘high-growth’ period, particularly with a subscription modelBackground in working with Large Language Models (LLMs)Passion for education and academic research
$190,000 - $230,000 a yearEnjoy a competitive salary and comprehensive benefits package - including 100% employer-paid medical, dental, and vision insurance for you and your dependents, Generous Paid Time Off and Flexible Work Arrangements.
Diversity and Inclusion
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.
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Academia.edu is a venture-backed, for-profit business based in San Francisco whose mission is to accelerate the world’s research. Our platform enables researchers worldwide to effortlessly find and access academic papers, stay current with peers and relevant research areas, and enhance their ability to publish and distribute their work. With over 100 million academic papers, a vast user base of over 250 million and adoption by over half of the academic community, we're at the forefront of transforming the $25 billion academic publishing industry.
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 teamDefine and navigate the explore-exploit trade-off in recommendation systems and how to balance user exploration with personalized content exploitationEducate the product organization on ranking/recommendations best practicesLead and coordinate cross-functional teams across engineering and dataManage product lifecycle from ideation to launch and post-launch optimizationDrive business impact (i.e. more engagement with research through better recommendations)
Requirements
Bachelor's degree in a related field; advanced degree preferred5+ years of experience in product management, preferably in edtech or media-techStrong understanding of recommendation systems, machine learning, and data science principlesProven track record of successfully launching and managing recommendation productsExcellent analytical and problem-solving skillsExceptional communication skills, both written and oralCustomer-centric approach with a knack for data-driven validationSelf-starter with a proactive approach to identifying and solving problemsDemonstrated ability to make a significant business impactPrevious startup experience is essential
Nice to Haves
A stint in growth-stage tech companies during a ‘high-growth’ period, particularly with a subscription modelBackground in working with Large Language Models (LLMs)Passion for education and academic research
$190,000 - $230,000 a yearEnjoy a competitive salary and comprehensive benefits package - including 100% employer-paid medical, dental, and vision insurance for you and your dependents, Generous Paid Time Off and Flexible Work Arrangements.
Diversity and Inclusion
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.
#J-18808-Ljbffr