Don't apply if
- Your first thought is how to make things pretty
- You don't say anything when you see things that don't make sense or are not good enough
- You are happy if your boss or client is happy; even if the project does not meet your own standards
- You'd rather not to talk to users
- You have never created your own project (i.e. something where you didn't have a client or a boss)
- You are scared of math and statistics
- You are looking for a UX designer job; UX is just one component of a much broader set of skills and interests that's necessary for this role
Do apply if
- You are good at explaining complicated things in an easy way
- Coming up with a simple explanation of something complicated gives you a lot of satisfaction
- You spend a lot of time thinking about such questions as "what is interface" or "what is color"
- You love data visualization
- The biggest compliment for you is to see a user 'forget' about the interface you designed because it is so clear and intuitive
- You've told stories 'through numbers' before (either as an interface, an article or something else)
- You get bored when work is too easy
- You obsess over simplicity
- You often ask "is this necessary?" and you insist on getting an answer or getting rid of that thing
- You say plainly when something doesn't make sense or is not good enough
Why - our Mission
We are working on decentralizing information and credibility distribution.
Society suffers when small groups control what others get to know and believe. Be it through controlling the broadcasting (tv, radio, newspapers, access to social media platforms) or credibility signaling (who should be trusted and who shouldn’t).
What We're Working On
We are building an influence algorithm. In other words, we are trying to find ways to describe groups of people mathematically. Many tried and failed before. But we think we can make it work.
Our core hypothesis is that influence can be quantified by tracking attention flows. In order to do that, we ingest data streams from multiple sources (we started with Twitter and are now indexing podcasts and soon more). We then cross-reference these datasets in an attempt to continuously improve the accuracy.
The accuracy of our work is being verified by members of the groups that we aim to describe. We publish our results in real-time and there are thousands of people already using our scores. It is hard to verify when we are right. But it is very easy to tell when we are wrong. This short feedback loop puts us in a unique position to work on problems that might be much harder or impossible to solve somewhere else.
We are a small, VC-funded startup. We are a remote-first team. Most of the team is based in Europe (Berlin, London, Barcelona). You can make your own hours, but everybody is expected to be online during office hours in CET. We try to meet in person and work together for several days at least every 3 months. Other than that the company ‘lives’ in Slack, Notion and other tools enabling effective communication.
The job is full time permanent. If you work from Germany, you will need a German work permit and you will get an employment contract, if you work from somewhere else in the world, you will work as a freelancer, and need to fulfill the legal requirements for freelancing in your country.
If you work from Berlin, you can work from our Berlin office, located in Mitte.
About this role
You will be responsible for designing interfaces to interact with our graph. We are organizing information in a new way — through a graph of identifiers. Similarly to how Google's graph of URLs led to invention of several new types of interfaces this too will require inventing new ways of interacting with information.
Think about it this way: imagine you have data about a tribe. if you had the data about a tribe. It consists of type and strength of relationship between each member member of the tribe. You also have data about their relationships to other tribes nearby. How would you design a tool for the tribe members to explore their networks so that it's the most useful to them? This is the kind of data we have and these are the kinds of questions you will need to answer.
Your responsibility will be finding ways of enabling users to better interact and enrich this dataset. This means that a big part of your job is going to be talking to our users, testing and so on. You will need to build a deep understanding of how they are using the product and what they are using it for.
Your job is not to make the product beautiful. Your job is to help our users understand and use the information with minimum attention investment. This means cutting out all the fluff. If beauty comes as a side product of simplicity — great, but that's not the goal in itself. If you want to make pretty things, this is not the role for you. If you think of designing interfaces as an intellectual puzzle, then this might be the right role for you. You will find plenty of challenges and you will have an opportunity to work on problems nobody has solved before.
Examples of what you will be working on
- Help the user navigate thousands/millions of groups in our database. This will require developing approaches for reducing the information overload.
- Our website offered one list of people when we started. We added several sub-lists (sub-clusters) later on. Now we have mapped dozens of various groups with multiple sub-clusters. We are holding off with publishing them out of fear of cluttering the website too much. We need to re-design the interface to be able to accommodate these clusters, but a far bigger challenge is right around the corner.
- The next version of the algorithm is going to allow for indexing thousands, and soon millions of clusters. Nobody can comprehend this much information. The interface has to give users an ability to identify groups relevant to them and view the web from these groups' perspective. This is something that has not been done before and it has to be intuitive from day one.
- Help users understand how our algorithm works. Its important that people who use our scores understand, at least in principle, how they are calculated. This is a harder problem than it may seem. We need to explain rather complex mathematical ideas (specific algorithms) to the general public. We don't want to fool them into thinking that they understand. We do want them to understand the logic so that they can decide for themselves if our approach makes sense. This requires distilling the essence and representing it in an easy to digest form.
- Condensing large amounts of content into a single profile. We have in principle at least an order of magnitude more content about an average user than any single social media platform. That is because we index them.
- It is a challenge to fit all content at the profile and not overwhelm the user
- You'll have a super power at your disposal — our importance algorithm, which quantifies how much attention a given piece of content has accumulated over time. This allows for organizing content by it's importance from the point of view of a particular group.
- Designing a new type of a stream. The stream is going to offer a cross-platform content feed in the context of interests of a given group or topic instead of platform-native content. For example, instead of following accounts from "Bitcoin Twitter" on Twitter, and several Bitcoin-dedicated subreddits on Reddit, subscribing to several Bitcoin podcasts etc., you simply follow this cluster and get the most important content across all these platforms.
- This is a new type of a feed that will require reconciling various types of content, frequencies etc. There are no good practices in this regard because nobody has done it before. So we are sure to run into plenty of challenges.
- Excellent design skills
- Coding proficiency
- Proficiency with prototyping tools
- Proven track record of designing excellent interfaces
- Experience conducting UX research (interviewing users, designing tests etc.)
- Skilled at data visualization
Great to have
- Maker and/or Open Source development track record
- Deep familiarity with social media platforms (especially Twitter, Reddit etc.)
- Being part of some niche online communities
- Familiarity with Bitcoin Twitter
- Successful submissions to reddit.com/r/dataisbeautiful
EUR 50,000 - 70,000 per year
Equity 0.14 - 0.19 %