nPario delivers a consumer intelligence platform and big data applications for digital marketing that enable the world’s largest brands to combine existing, new and emerging channels of information to segment consumers, understand consumer behaviour and commercial intent, and drive customer engagement. Unlike other data management platforms (DMPs), which can choke on the sheer scale of data needed to provide comprehensive consumer intelligence in real-time, nPario provides easy-to-use visual applications to segment audiences, predict consumer intent and provide campaign intelligence at scale in real-time.
Brands, publishers and agencies combine 1st party, 2nd party and 3rd party data using nPario's patent-pending Real-time Data Science™ to access deep consumer insight. They use this aggregated and connected data to segment consumers without the need for complex queries or programming, enabling the identification of high-value segments and the predictive modeling of consumers. This lets them answer such questions as:
· Who are our customers?
· How many potential customers are similar to them?
· What sites are they most likely to frequent?
nPario integrates these real-time insights with key business processes such as customer loyalty, churn analysis and digital marketing.
nPario solutions are available as either public or private clouds, and are already in use at leading brands, publishers and agencies such as Reuters, Electronic Arts and GroupM. In fact, nPario also powers several of the data management platforms (DMPs) used by brands today.
nPario is looking for a star Sales Engineer to support pre and post sales for the West Coast. The Sales Engineer is the technical support for the sales force to sell our nParios consumer intelligence platform and big data applications. This roles is actively involved in the technology evaluation for prospective customers. The Sales Engineer is also the primary liaison between the sales force, project management and the engineering team.for deployment of nPario’s technology. The Sales Engineer is also responsible for assessing and gathering requirements for future releases and translating those to the project management and engineering team.
The ideal candidate has the vision, structured thinking and business savvy to see how online data can lead to understanding audiences and how that understanding can help advertisers develop high-impact, efficient branding and direct-response campaigns and the ability to translate complex technology into an easy to digest customer solution.
Candidates should be at ease analyzing and deriving actionable insights from large data sets. Successful candidates will have the ability to manage projects, produce results in a non-hierarchical environment. Excellent communications skills and client management experience are required.
Moreover, successful candidates will be able to synthesize results across a series of engagements into clear, succinct and actionable recommendations for clients.