Found.dev
Role Highlights
Languages used
Python
SQL
Objective-C
Key skills
Computer Science
Information Systems
Project Management
Customer Success
Solution Architect
Business Analysis
Cloud
Optimization
KPI
AI
Architecture
Tools, Libraries and Frameworks
DataBricks
MLFlow
Apache Spark
Description
The role involves collaborating with sales and field engineering teams to accelerate the adoption and growth of the company platform within customer organizations. The individual will serve as a technical lead for post-sale activities, ensuring customer success by guiding the implementation of complex workloads. Responsibilities include building executive relationships, orchestrating specialized internal teams, and creating strategic plans to drive platform usage. The position requires navigating product and engineering teams to facilitate innovations and upgrades while managing technical account strategies. Additionally, the role entails providing regular reporting on key performance indicators, customer health, and risk assessments to management.
Required Qualifications and Skills
Candidates must possess at least seven years of experience in technical project or program delivery within the data and AI domain. Proficiency in Python, SQL, or Scala is required, along with a background in customer-facing roles such as consulting, pre-sales, or technical architecture. Applicants must hold a bachelor’s degree in Computer Science, Information Systems, Engineering, or demonstrate equivalent work experience. Furthermore, U.S. citizenship is mandatory due to federal contract requirements.
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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