About 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 partners in all the phases of the sales process – from evangelizing and demonstrating the technology to prospects, to defining and executing Proof of Concepts (POCs) and answering technical questions around StarTree's Cloud Platform 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. 

Responsibilities

• Provide technical leadership in sales opportunities with existing customers and prospects 
• Research customer’s key requirements and execute Proof of Concepts 
• Help customers in post sales implementations and support them through their use of the StarTree Cloud platform
• Evangelize best practices, architecture patterns, and use cases internally and externally 
• 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

• 10+ yr experience in the domain
• Experience with Data lake technologies such as Spark, Hadoop and Presto is a plus as well as concepts like medallion architecture
• Experience with distributed software applications architectures
• Experience developing or using open-source technologies
• Strong familiarity with Streaming technologies such as Kafka/Kinesis/Pulsar as well as steam processing engines like Flink
• Excellent communication, presentation, and demonstration skills, as well as a good understanding of the sales and post sales processes
• Strong problem solving and troubleshooting skills 
• Strong grasp of cloud infrastructure patterns and services in at least one of the three public clouds - Amazon AWS, Google Cloud, Microsoft Azure
• Good understanding of OLAP/DWH technologies as well as advanced SQL concepts
• Bonus points: Certification in Solutions Architecture in one or more of the three public clouds - Amazon AWS, Google Cloud, Microsoft Azure
• Bonus points: Masters degree in Computer Science with a major in Data related field (Data Science, Data Engineering, or Data Analytics)

What it Takes to Thrive

• A desire to learn and adapt in a rapidly growing and changing environment
• You must be a self-starter who thrives on complexity and independence
• Being highly organized and detail-oriented 
• Strong written and oral communication skills
• Ability to learn quickly 
• Strong team player