Solution Engineer, TigerGraph
$110-130k
More information about location
Scalable graph analytics platform
Be an early applicant
Scalable graph analytics platform
201-500 employees
Be an early applicant
$110-130k
More information about location
201-500 employees
Company mission
To uncover meaningful, actionable, real-time insights from data.
Role
Who you are
- B.S. in Computer science with 4 years' experience or M.S. in Computer Science with 2 year's experience
- Industry experience in software development (C++ and/or big data engineering a plus)
- Linux OS and command-line experience
- Talent for algorithm design and problem solving
- Enthusiasm for graph algorithms and graph data structure design
- Ability to work independently, manage deadlines and set priorities
- Innovative entrepreneurial spirit to develop new business opportunities
- Passion for the start-up environment
- Customer service and communication skills
- Experienced with implementing solutions in enterprise production environments
- Occasional travel may be required
What the job involves
- The Solutions Team at TigerGraph strives to continuously develop and improve the world's fastest real-time Graph Analytics platform
- One key aspect of this continuous improvement is to push this high-performance engine to its limits
- Members of the Solutions Team are tasked with developing cutting edge data products for real-world applications and customers using the core TigerGraph platform tools
- An ideal candidate is a passionate problem solver who fearlessly approaches a customer's "impossible" problems and designs exceptional, high-performance solutions that instantly become the cutting edge in real-time data analytics applications
- Lead architecture initiatives from inception to completion
- Collaborate with business users to create solutions aligned with business needs
- Technical subject matter expert
- Help drive and create reusable assets to improve the efficiency
- Work on mid-range to large projects
- Documentation to aid in the understanding of the solution offerings
- Customer health checks
- Engage with pre-sales PoC/PoV to help achieve the technical win
- Contribute to a growing body of graph design and graph algorithm methodology
- Other duties as assigned
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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