Careers
Why working with us will be fulfilling
We are searching for engaged personnel who strives with us to remove the frustration and uncertainty out of the analysis of complex datasets. We firmly believe that data analysis processes should be (more) centered around the person who does the analysis or makes the business decisions. A human-centered approach will inevitably lead to more, better, and more sustainable innovations in business and societal settings.
How and What
In GraphPolaris, we combine the creativity and common knowledge of the human with the number-crunching capabilities of the machine and make insights visible, explainable, and auditable through visual interactive interfaces.
Our main product, the Graph Database Explorer, is the logical first manifestation of this credo: We are building a visual graph analytics system that focuses on easy, explainable, and efficient access to (multivariate) graph databases with better visualization support and a ready-to-use graph ML toolbox. Our unique selling points are:
- A full-fledged, dedicated graph analysis workflow that starts with questions around data quality and schema consistency.
- An intuitive query formulation in a visual query editor.
- The ability to loop effortlessly through query-refinement and interactive exploration of better visualization techniques than just node-link diagrams.
What we search for:
GraphPolaris is always on the look-out for talent who can breath our vision and understand its impact.
Consider applying if:
- ... you have excellent coding skills (must haves: web or full stack skills) and love solving challenging and societally impactful problems.
- ... you have (software) architecture skills (nice to haves: understanding of Kubernetes and microservice patterns) to improve our scalable infrastructure even further.
- ... you are interested in visual data analytics (e.g., with mapbox, deck.gl, pixi.js, d3.js) to improve or design state-of-the-art visual solutions and workflows.
- ... you have worked with graph databases (e.g., with Neo4j's cypher, Tigergraph's GSQL, or SPARQL) to store and retrieve multivalue property graph data.
Excited to join?
Feel free to share your open applications to [email protected] or reach out to the Founders team via LinkedIn messaging if you have further questions or want to connect.