Develop advanced techniques, solutions, and methodologies for customer core business process adoption.
Assist domain experts, scientists, data scientists, and technical engineers to develop AI Solutions.
Work with clients to define objectives, curate data, algorithms, and outcomes; setup training pipelines, large-scale customer experiments, and evaluate models for production deployment.
Consult with research scientists on the art of the possible and practical applications of theories.
Drive the technical sales process from introductory meetings and discovery through to post-sales success.
Design comprehensive solutions for customer needs using Cloudera technologies.
Present Cloudera’s product roadmap and vision to C-level executives.
Create and deliver inspiring technical presentations and demonstrations.

A minimum of 8 years of experience in a customer-facing role, ideally in a pre-sales or solutions engineering context.
Deep experience with Data Engineering, Data Science, or Machine Learning.
Proficiency with one or more major cloud service providers (AWS, Azure, or GCP).
Well-versed in the problems of Operations, Security, and Data Governance required to make AI safe for the enterprise.
Experience with Big Data, Data Warehousing (e.g., Iceberg), or Relational Databases, as well as familiarity with Unix/Linux environments.
Excellent written and verbal communication skills, with the ability to whiteboard complex architectures and gather business requirements effectively.
A willingness to learn, a curiosity to discover new use cases for Cloudera technology, and a drive to make your customers successful.

Solutions Engineer – Artificial Intelligence

Key skills