Layer

To make data-driven decisions, you need to trust your data. And to trust your data, you need SSoT (Single Source of Truth) practice in your data organization. Implementing this practice is only possible in a collaborative data platform. Collaboration in data is essential to build reliable and uniform reusable pipelines. These pipelines can be used to extract insights and manage training and prediction data at scale. Layer is designed to provide the collaboration the organizations need by introducing a smart way of defining company wide SSoTs. The vision is not just to solve these pain points, but also grow as the organization grows in an extensible way. We are founded by a serial entrepreneur, who most recently sold his startup ($100M+ EBITDA run rate) and a partner at a top European VC. We are a team of ex-Google/Improbable/Palantir/Lightbend/Hazelcast engineers. We are at a very early stage with some pilot customers lined up and are well-funded. We have an all-remote culture as we aspire to work with the best talent, no matter where they live. We hope to assemble a world-class team and hire about ~15 people in the next few months. Initially, we are looking to hire within the UTC to UTC+5 time zones but we are happy to make exceptions for truly exceptional candidates (if you are a Spark guru/committer, for instance). Prior startup experience, being a prolific open source contributor, working at a data related software company (ETL/visualization/integration) are big pluses. No recruiters/agencies/outstaffing or outsourcing companies please.