Senior Sales Engineer - US
US - Remote
At StarTree we're a group of passionate individuals that desire to improve the lives of many by developing tools and technologies that support availability and speed in the world of real-time analytics.Â
Our aim is to make it simple for every company to delight their users - external and internal - and create new revenue streams from their data, by building the worldâs most comprehensive and accessible cloud analytics system.
About the Role:
A rare opportunity to be part of a growing sales team in a well-funded SaaS startup with great customer traction. You will work closely with sales as their technical partner in all the phases of the sales process â from evangelizing and demonstrating the technology to prospects, to defining and executing Proof of Concepts (POCs) and answering technical questions around StarTree's service and how it solves customer's real time analytics problems. Sales Engineers are also relied upon for various post-sales tasks, including implementations, optimizations, and helping ensure a high level of service for our customers. StarTree offers a fast-moving, dynamic, and challenging work environment, with the opportunity to make a direct impact on customers. This role is remote, but candidates should be working primarily from US Eastern Time.
Responsibilities
- Provide technical leadership in sales opportunities with existing customers and prospectsÂ
- Research customerâs key requirements and execute Proof of ConceptsÂ
- Help customers in post sales implementations and support them through their use of the StarTree service
- Evangelize best practices, architecture patterns, and use cases internally and externallyÂ
- Advance expertise and technical excellence in Apache Pinot
- Collaborate with Product and Engineering teams by providing customer feedback to help shape the product roadmap
- Liaison with Marketing to help build customer case studies and reference materials
Qualifications
- Minimum 5 years of experience in Pre/Post-Sales or Customer facing roles
- Experience with big data technologies such as Spark, Hadoop and Presto is a plus
- Experience with distributed software applications architectures
- Excellent communication, presentation, and demonstration skills, as well as a good understanding of the sales and post sales processes
- Strong grasp of cloud infrastructure patterns and services in at least one of the three pubic clouds - Amazon AWS, Google Cloud, Microsoft Azure
- Good understanding of OLAP technologies as well as SQL
- Bonus points: Certification in Solutions Architecture in one or more of âŚ
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Comprehensive benefits Equity grants
Tasks- Collaborate with product and engineering
- Collaborate with product and engineering teams
- Provide technical leadership
Amazon AWS AWS Azure Big Data Cloud Infrastructure Communication Google Cloud Hadoop Microsoft Azure OLAP Presto SaaS Sales Engineering Spark SQL
Experience5 years
EducationComputer Science Data Analytics Data Science Master's Related Field Software Engineering
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9