Found.dev
Role Highlights
Languages used
Key skills
Big Data
Customer Success
Cloud
SAAS
AI
Tools, Libraries and Frameworks
DataBricks
MLFlow
Apache Spark
Description
The role involves driving business growth and managing relationships with key enterprise customers. The individual will prospect for new sales opportunities and manage the evaluation and buying process with business and technical decision-makers. Responsibilities include evangelizing the company's analytics platform and launching the brand across strategic accounts. The position requires creating territory strategies and collaborating with local partners to drive business. Additionally, the role focuses on achieving revenue targets and managing upsell opportunities within existing accounts.
Required Qualifications and Skills
Candidates must possess a Bachelor's degree and at least five years of experience selling SaaS solutions to enterprise customers. The role requires a proven track record in enterprise or strategic sales, specifically within the big data, cloud, or SaaS technology sectors. Applicants should demonstrate a solution-oriented sales approach and the ability to articulate complex technologies clearly. Extensive experience in the Korean financial services industry is preferred.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Databricks
Size
8632
HQ
San Francisco, US
Public/Private
Privately HeldDescription
Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. --- Attention: Databricks applicants Due to reports of phishing, were requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
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