Sales Engineer - EMEA at TigerGraph

United Kingdom

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AnalyticsIndustries

Requirements

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%

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

Skills

TigerGraph

Graph Database

Product Demonstrations

Technical Presentations

Whiteboarding

Prototyping

Solution Architecture

Customer Discovery

Fraud Detection

Machine Learning

TigerGraph

Graph database for data analytics solutions

About TigerGraph

TigerGraph focuses on graph-powered analytics and machine learning, providing a graph database that helps businesses analyze complex data sets by showing how different pieces of information are connected. This technology is especially useful for industries like healthcare and insurance, allowing for real-time data management and collaboration across departments. TigerGraph's graph database reduces infrastructure operating costs, as demonstrated by Intuit's 77% cost reduction after implementation. The company's goal is to offer an efficient solution for data management that supports informed decision-making.

Redwood City, CaliforniaHeadquarters

2012Year Founded

$188.9MTotal Funding

SERIES_CCompany Stage

Data & Analytics, AI & Machine LearningIndustries

51-200Employees

Benefits

Flexible Work Hours

Risks

Competition from Microsoft and Cisco may impact TigerGraph's market share.

Rapid cyber threat escalation pressures TigerGraph to innovate security features.

Early-stage CoPilot release may face software bugs, affecting user trust.

Differentiation

TigerGraph offers the only distributed native graph database for advanced analytics.

Its graph database model efficiently integrates and analyzes complex data sets.

TigerGraph's technology reduces infrastructure costs, as demonstrated by Intuit's 77% savings.

Upsides

Rising demand for graph databases in cybersecurity boosts TigerGraph's market potential.

TigerGraph's CoPilot, QueryAI, simplifies data queries, enhancing user engagement.

Version 3.9.3's Kubernetes support positions TigerGraph for complex enterprise needs.

Land your dream remote job 3x faster with AI

Try Jobo Free