Emily Forbes, founder of Seenit, first discovered the potential of collaborative storytelling in South Africa whilst making a film about rhino conservation protesters.
She noticed during a protest how everyone, not just the professionals, were capturing what was happening around them and their personal experiences on their phones. This raw authenticity inspired Emily to incorporate the wider views into her film.
At first having to manually collecting clips from willing protesters, Emily realised that it would be far more efficient if people could upload their videos instantly to a central online platform for her to view and edit.
With that, Seenit was born, a video collaboration tool with the potential to connect budding filmmakers and broadcasters with advertisers, news organisations and employers that want to source video from their audience.
Our interview process begins with an introduction call to help you learn more about the role, learn more about your interests, and help decide if Seenit is a mutual fit. If we move forward, for some technical roles, we'll ask you to complete a small technical exercise, followed by a 30mins video call to go through the results. Finally, the onsite interview can always work around your schedule's flexibility, but we like to have you meet several key stakeholders on the team, as well as our Founder. If it is a mutual fit, we'll send you the offer with all the required details.
Our apps are at the core of our business.
Our iOS app is built with the MVC architecture in mind, using CoreData and NSOperations to keep the flow of data and communication with the APIs. We use libraries such as MagicalRecord, AFNetwork and Facebook SDK. Our UI is done with Auto-Layout and its responsive to any device size, and we are working on moving the app to Swift.
We build our Android app on top of our own SDK using, focusing on camera integration, background upload functionality and a simple user experience, using libraries such as OkHttp, Exoplayer, Facebook SDK, Play Services and so on. We are currently working on improving our architecture to utilise the benefits of RxJava and MVP approach.
For everything else we run on Google’s Cloud Platform, using Python, Couchbase, TensorFlow, and RabbitMQ, and ReactJS.