TigerGraph is a platform for advanced analytics and machine learning on connected data. TigerGraph's core technology is the only scalable graph database for the enterprise. Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning. 
Fortune 500 organizations and the most innovative mid-size and startup companies choose TigerGraph to accelerate their analytics, AI, and machine learning: Seven out of the top ten global banks use TigerGraph for real-time fraud detection.  Over 50 million patients receive care path recommendations to assist them on their wellness journey.  300 million consumers receive personalized offers with recommendation engines powered by TigerGraph.  TigerGraph reduces power outages by optimizing the energy infrastructure for 1 billion people. 

The Sales Engineer at TigerGraph is an integral part of the sales cycle  to demonstrate, educate and persuade prospective customers to adopt the TigerGraph platform. The Sales Engineer will take ownership of the prime technical relationship with our prospects proactively managing the technical relationship onsite, online, and via phone calls.

Responsibilities

Master the TigerGraph product line, prepare product and live software demonstrations. Deliver presentations to express Tigergraph's competitive differentiation to different audiences.  Participate in functional and technical discovery sessions with our customers. Lead white-boarding sessions and work independently to map requirements to valid use cases that are addressed by TigerGraph's product capabilities. Propose solutions and develop prototypes that address customer requirements. Facilitate solution knowledge transfer to TigerGraph consulting and industry partners. Support local marketing events, Meet-ups and Webinars. Other duties as assigned.

Required Education and Experience

Bachelor’s degree in computer science,engineering or related fields, or equivalent experience  5+ years of prior software pre-sales, or other software client-facing experience.

Skills and Knowledge

Knowledgeable in one advanced programming language Python, SQL and any ETL tools. Virtualization and Cloud knowledge. (Azure, AWS,GCP) Relational or NoSQL database experience, Big Data, Business Intelligence, Analytics and Integration technologies and architectures. SQL querying writing experience. Experience managing Services Experience, SaaS based Cloud products Excellent consultative skills including data requirements gathering and data modeling, white boarding and developing/validating proposed solution architectures. The ability to communicate complex information and concepts to prospective users in a clear and effective way. Ability and willingness to travel up to 30%