Senior Sales Engineer

February 20

Apply Now

Receive Emails with Similar Jobs

Yellowbrick Data

WebsiteLinkedInAll Job Openings

Yellowbrick is a SQL data platform built on Kubernetes for enterprise data warehousing, ad-hoc and streaming analytics, AI and BI workloads. Yellowbrick offers unparalleled speed and scalability with minimal infrastructure, deployable across public and private clouds, data centers, laptops and the edge – providing a private data cloud experience that ensures data stays under your control to meet residency and sovereignty needs.

Cloud Data Warehousing • Analytics • Data Lakes • Distributed Data Cloud • Marketing Analytics

201 - 500 employees

💰 Series C on 2021-11

📋 Description

• Yellowbrick Data is a Silicon Valley based startup that invented a Kubernetes based cloud-native data platform for the hybrid multi-cloud world. • Our company vision is laser-focused on giving customers back full control of their data, associated costs, risk, and infrastructure flexibility. • The Yellowbrick Solutions Engineer will act as a trusted advisor to our prospects and customers working in tandem with hard working teams including Sales, Business Development, Product Management, Customer Success and Support. • This individual is ultimately responsible for managing and delivering on all activities related to the technical presales cycle. • These include RFPs, presentations, demonstrations, POCs, tradeshows and customer events.

🎯 Requirements

• 4+ years of relevant experience in a sales engineering or consulting role for a SaaS company, with a deep understanding of the data analytic ecosystem • Outstanding presentation skills for both technical and executive audiences • Exceptional self-motivation, problem solving, organizational, and decision making, collaboration skills, and ability to multitask in a fast-paced startup environment • Strong understanding of cloud database concepts and architecture and excellent SQL skills including writing, debugging and optimizing • Comprehensive experience in architecting data models for Cloud Data Warehouses • University degree in computer science, engineering, mathematics or related field, or equivalent experience • Ability to travel 25-50% of the time • AWS, Azure, or GCP Certifications a plus • Working knowledge of Unix, Kubernetes, and Docker a plus • Programming and scripting skills: shell, Python, etc. a plus • Infrastructure as Code (IaC) technologies such as Terraform or Cloud formation a plus • Ability to tie technical solutions to a business problem (understanding MEDDPICC is a distinct advantage)