Found.dev
Role Highlights
Languages used
Key skills
Big Data
Open Source
Cloud
SAAS
AI
Tools, Libraries and Frameworks
DataBricks
MLFlow
Apache Spark
Description
The role involves selling to high-growth, venture-backed companies and managing strategic accounts. The individual will be responsible for closing new business and driving consumption within existing accounts. Responsibilities include communicating account strategy to senior leadership and coordinating internal resources to penetrate new markets. The position requires meeting with stakeholders ranging from practitioners to C-level executives to align business outcomes with product value. Success is measured by exceeding activity, pipeline, and revenue targets through a creative and iterative sales approach.
Required Qualifications and Skills
Candidates must possess six to eight years of experience with value selling methodologies and six or more years of experience working with open source technologies and build versus buy decision-making. The role requires a proven track record of exceeding sales quotas and success in closing new accounts. Applicants should have specific sales experience within the big data, cloud, or SaaS sectors. No specific degree or professional certifications are explicitly mandated in the posting.
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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