Sales Engineer (US)

This customer-facing role is a key part of the Sales organization working directly with Sales, Marketing and Engineering. Activities include identifying and understanding prospects’ key business and technical requirements through a process of guided discovery, translating those requirements into a solution that highlights our unique technical value propositions, and designing, coordinating, and delivering a tailored PoC to demonstrate key technical use cases.

 

You can expect to:

  • Be the customer’s trusted advisor on how our product can address their needs and recommend the best solution
  • Own the POC process with prospect customers, leading the project end to end
  • Lead a technical and business discussions addressing comparison to alternative/s and perform a technical deep dive on solution architecture
  • Support sales executives; work directly with product management and R&D feeding requirements and priorities
  • Evangelize the GigaSpaces platform solutions

 

Requirements:

  • 2+ years in customer-driven roles – pre-sale, solutions architect etc.
  • 7+ years of experience in building enterprise solutions with Middleware, Big Data tools and frameworks such as Spark, Hadoop, Cassandra, NoSQL etc. as well as ETL like processing
  • Previous experience with In-Memory Data Grids / Distributed Systems
  • Proven experience working with various Databases: Relational and NOSQL
  • Hands on coding/scripting experience: Python / Java – Must
  • Experience working on/with Machine Learning / Data Science products such as Apache Spark and Tensorflow
  • Graduate in computer science or engineering
  • High availability and commitment to customers at any time

 

Advantage:

  • Experience with Docker, Kubernetes
  • Experience with Cloud-Native and Cloud Data Services such as – S3, RedShift, DynamoDB, Kinesis, EMR, etc
  • Scala / .Net
  • Web development or JavaScript programming skills
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New York, NY

Address

U.S. Headquarters
GigaSpaces Technologies Inc.
420 Lexington Avenue, Suite 2640
New York, NY 10170
New York, NY