Be part of a brilliant team who is developing the next generation of technology, a product that is already being used by fortune 100 companies and designed to tackle the challenge of connecting and enriching diverse data at scale, quickly and cost effectively. Unlike traditional data solutions that are focused on top-down, rules-based method for managing data, this product is focused on bottom-up, machine learning approach with a tremendous positive impact.
As a Software Engineering Manager you will explore and identify technical solutions to the business's most complex challenges and coordinate small teams to manage priorities, plan solutions, and deliver results on schedule. You must be able to identify potential areas of weakness in process and implement improvements within the team. We look for engineers who can be leaders in a fast-paced, early-stage environment where requirements and code move forward quickly.
- Previous experience managing engineers preferably in an Agile environment.
- Expertise in Spark, Hadoop, or similar Big Data computational infrastructure.
- Additional experience with cluster and cloud technologies such as Mesos, Docker, AWS, and GCE is helpful.
- Prior start-up experience and interest in machine learning is a plus.