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Sphere

Academic content management platform

Sphere logo
21-100 employees
  • B2B
  • Education
  • SaaS
  • Media
Lower Nob Hill, San Francisco, CA

Company mission

To democratize access to elite education.

Our take

Many workers no longer have access to elite knowledge. Believing that true experts shouldn't be confined to leading academic institutions and companies, San Francisco-based Sphere, originally called ScholarSite, provides an alternative education service focusing on software engineering skills, such as machine learning and data science.

The platform provides access to vetted leading experts who lead live, cohort-based courses for professionals around the globe. Each course teaches functional skills to be applied to a user’s work. Whilst prices varies, the costs are often covered by employer learning and development budgets

Already, the company, who ultimately wants to become the largest decentralized corporate university, has upskilled learners from around 1,000 businesses and have secured contracts with companies like Stripe and Tinder. Following Y Combinator backing, the company made connections with several VCs, and has now secured seed funding to accelerate growth

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Benefits

  • Strong culture - At Sphere we hire people not roles. Which means that we want you to bring your unique ideas and approaches to work and break (not fit into) the corporate mold
  • Early employee equity - We want people who join us to feel vested into the future of Sphere. We offer early joiners equity packages to align interests to the success of the platform
  • Unlimited PTO, no strings attached - We know that employees do their best work when they’re well-rested, energized, and have the time to recharge

Company values

  • Fearlessness - Whether you are one of our employees, a client or an instructor, we value people who have the audacity to speak their mind and effect change
  • Uplift your team - We are conscientious and support each other through the ups and the downs. We work as a team and give each other autonomy and responsibility
  • Run Fast, Iterate Faster - We like to move fast and iterate to success. We believe fast decisions generate valuable learnings and are far better than slow or no decisions

Leadership

Previously served as an Investment Banking Analyst and, later, Associate for Macquarie Group, and as a Technology Consultant for PwC.

Previously served as a Software Engineer for StockLight and as a Machine Learning Engineer for Florey Institute of Neuroscience and Mental Health.