Principal Solutions Engineer – Artificial Intelligence

Cloudera

**
8+ years customer-facing pre-sales experience
Deep data engineering and machine learning expertise
Proficiency with aws azure or gcp cloud platforms
** Cloudera is seeking a Principal Solutions Engineer specializing in Artificial Intelligence to enhance technical sales strategies and bridge complex data architectures with actionable AI outcomes. The role demands extensive experience in customer-facing positions, particularly in AI and data engineering, and offers a hybrid work environment with robust benefits. **

Job Summary

  • This role serves as a technical authority bridging complex data architectures with actionable AI business outcomes for Cloudera's Enterprise AI portfolio.
  • The position requires owning the technical sales lifecycle from discovery through post-sales success while designing comprehensive solutions using Cloudera AI technologies.
  • Cloudera offers generous PTO, flexible work-from-home policies, and comprehensive benefits including mental wellness programs and paid volunteer time.

Matching Summary

Match Score: 75

** Cloudera is seeking a Principal Solutions Engineer specializing in Artificial Intelligence to enhance technical sales strategies and bridge complex data architectures with actionable AI outcomes. The role demands extensive experience in customer-facing positions, particularly in AI and data engineering, and offers a hybrid work environment with robust benefits. **

Skills & Requirements

Must-have

  • 8+ years customer-facing pre-sales experience
  • Deep Data Engineering and Machine Learning expertise
  • Proficiency with AWS Azure or GCP cloud platforms
  • Experience with Enterprise Data Governance and Security
  • Ability to present to C-level executives

Nice-to-have

  • Passion for open source community innovation
  • Willingness to learn new AI use cases
  • Experience speaking at industry conferences
  • Strong written communication skills for blogs
  • Drive to make customers successful

Key Requirements

  • Minimum 8 years of senior experience in solutions engineering
  • Deep proficiency in Data Science and Computational Engineering
  • Understanding of hybrid deployment factors between public and private clouds

Work Rights

Not specified

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