Sales Engineer, TigerGraph
EMEA
More information about location
Scalable graph analytics platform
Job no longer available
Scalable graph analytics platform
201-500 employees
Job no longer available
More information about location
201-500 employees
Company mission
To uncover meaningful, actionable, real-time insights from data.
Role
Who you are
- 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
- 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%
What the job involves
- 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
- 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
Salary benchmarks
Our take
TigerGraph specialises in graph databases, powerful databases that can connect multiple data points at once. Purpose-built to manage large amounts of highly connected data, it's flexible and easily scalable, and widely preferred over traditional relational databases.
TigerGraph's substantial funding has enabled its expansion, and it now supports Google Cloud Platform workloads. This has uniquely positioned TigerGraph as the only distributed graph database available as SaaS on all major cloud platforms. Additionally, TigerGraph now integrates connectors for Snowflake and Salesforce Tableau, further enhancing customer options. GraphStudio, a graphical user interface for TigerGraph DB, brings together all aspects of graph database analysis into one application specifically created for ease of use.
TigerGraph is currently the fastest graph database in the world, ahead of competitors such as Neo4j, ArangoDB and Redis, a position the business will no doubt be eager to maintain as it is a key differentiator.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-55% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Feb 2021
$105m
SERIES C
Sep 2019
$32m
SERIES B
Total funding: $194.2m
Company benefits
- Putting money in your bank with competitive pay and attractive equity
- The best health, dental and vision insurance to keep you healthy
- Catered lunches and a well-stocked kitchen
- Take time off when you want and recharge your batteries
- Fun environment with team outings and a recreation lounge, including ping-pong and foosball
Company HQ
Redwood Shores, Redwood City, CA
Leadership
Yu Xu
(Founder & CTO)Dr. Xu received their Ph.D in Computer Science and Engineering from the University of California San Diego. Prior to founding TigerGraph, Dr. Xu worked on Twitter’s data infrastructure for massive data analytics. Before that, they worked as Teradata’s Hadoop architect where they led the company’s big data initiatives.
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