We hire smart, ambitious and humble people.
At Mentimeter, we want to make it easy to listen and be heard. Our interactive presentation platform is built for exactly that.
Do you want to help plan, build or sell Mentimeter? Join our team of talented and ambitious people! Read about open positions below or send an open application to email@example.com.
Build powerful and fun products with our tech team.
Engage with customers around the world in our sales team.
Join our marketing team to help users fall in love with Mentimeter.
Help and maximise output for all Menti colleagues in their work.
Mentimeter offers paid internships for those interested in technology, design, marketing or in building startups. It is a great start for your career.
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Do you want to write your Master's or Bachelor's thesis at Mentimeter? We have listed several thesis ideas below, but if you have your own idea you can also contact us at firstname.lastname@example.org.
At Mentimeter each thesis student is assigned a supervisor. The supervisor will help you with planning and will follow-up on the set goals of the thesis.
Mentimeter sells subscription services online - a sales process which is possible to optimize in many ways. We would like you to help us further develop our business model by analyzing different go-to-market strategies and hopefully optimize it even further.
This title could simply say Big Data, but this is so much more. We want to help our users gain new insights from their own data and global trends. We want your help to mine this data by finding related questions and find the trends hidden. Join us in making the world smarter!
Technologies: Trend analysis, language detection, text clustering.
Creating global scalable web solutions are challenging and one of the things that are constantly on our mind is the latency of all aspects of our service. As the service grows in amount of users and data, serving every part of the world at quick load times becomes increasingly difficult. Here we would like you to help us achieving the fastest service possible!
Technologies: Cloud based services.
Being used in front of an audience every minute of the day in a global world makes Mentimeter a very demanding service when thinking in availability terms. Unlike services like email and Facebook it is not possible to check it later, making our system very demanding. We would like your help analysing and optimizing the availability, using e.g. points-of-failure analysis, SLA measurements and risk mitigation.
Technologies: Cloud based services, cloud-ready programming platforms, SLA definitions and measurements.
Ever dreamt about making the perfect data visualization blowing your users brains out? For us at Mentimeter data visualization is top priority. We use the latest web technologies as D3 and HTML5 to bring new experiences to our users. Come and join us and we will make it happen together.
Mentimeter uses web programming to provide a device-agnostic online service to be able to have good maintanability and to be able to put efforts into developing the product rather than developing native code for specific devices. We still want to optimize the experience of the application and this is where we would like you to come in. With user experience analysis through panels and surveys be able to find the key pain-points of the current experience and optimize them using technologies and features, e.g. html app caches, pre-caches and design elements.
Technologies: Web analytics, User Experience analysis, HTML app caching.
With over 40 million users and 2 million presenters worldwide, Mentimeter has a substantial user base. As we grow, so does the number of questions regarding the security of our service. While we openly share this information, we know that navigating through it can be cumbersome for our users and we still spend a lot of time answering many of them manually. Recent advances in Natural Language Processing has shown the potential of answering such questions to a level that is comparable to humans. Although impressive, practical question answering systems are generally highly domain specific and require adaptation in order to adequately fulfill their purpose. Recent work using transfer learning has also shown promising results for overcoming this problem. Let’s solve it with machine learning!
Technologies: Machine Learning, Natural Language Processing, Domain Adaptation.