Large A

Academia.edu

HQ
San Francisco, California, USA
110 Total Employees
55 Product + Tech Employees
Year Founded: 2008

Offices at Academia.edu

Academia.edu is headquartered in San Francisco, California, USA.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Three times a week, those of us in the Bay Area work from our office located in the Financial District for collaboration, brainstorming activities, and fun events. We support a work/life balance with generous time off and flexible daily work schedule

Typical time on-site: 3 days a week

U.S. Office Locations

HQ
San Francisco, California, USA

The Financial District in San Francisco is a urban hub, synonymous with skyscrapers, historic landmarks, and innovation. It's a vibrant neighborhood where finance meets technology, offering a dynamic work environment, and stunning waterfront views, creating an ideal atmosphere for creativity.

Search the 10 jobs at Academia.edu

Recently posted jobs

2 Days Ago
San Francisco, CA, USA
Hybrid
Consumer Web • Digital Media • Edtech • Information Technology • Social Impact • Software
The Director of People Operations will lead Human Resources and Employee Engagement initiatives at Academia.edu. This role involves aligning department strategies with business objectives, managing people operations metrics, overseeing headcount planning, and collaborating with cross-functional leaders to support the organization's growth and development.
8 Days Ago
San Francisco, CA, USA
Hybrid
Consumer Web • Digital Media • Edtech • Information Technology • Social Impact • Software
The Senior Product Manager for the Discovery Hub will strategize and prioritize the product roadmap, lead cross-functional teams, oversee new feature development, and leverage user data for decision-making, all while driving user engagement and business impact.
Consumer Web • Digital Media • Edtech • Information Technology • Social Impact • Software
The Senior Product Manager will lead the Paper Recommendations team to enhance recommendation algorithms, manage the product lifecycle from ideation to launch, and drive business impact by increasing user engagement with improved recommendations.