Solutions Engineer – Artificial Intelligence

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Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $4.1M Venture Round on 2013-01

Enterprise • SaaS • Artificial Intelligence

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

📋 Description

• 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 to meet organizational objectives • work with clients to define objectives to 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 invention of new theoretical ideas, and or the practical application of theories to drive a computational engineering solution pipeline • Drive the technical sales process from introductory meetings and discovery through to post-sales success, upselling, and subscription renewals. • Design comprehensive solutions for customer needs using Cloudera technologies—specifically Cloudera AI, AI Inference, AI Studios, and AI Workbench —based on reference architectures and common patterns. • Present Cloudera’s product roadmap and vision to C-level executives (CIO, CTO, CDO), demonstrating how AI Agents and Cloud Bursting accelerate enterprise AI adoption. • Create and deliver inspiring technical presentations and demonstrations that compel customers to say “yes” to Cloudera. • Interface with Product Management and Engineering to advocate for your customers' needs, transforming feedback from the field into actionable roadmap items. • Participate in external publicity and evangelism, including speaking at conferences, writing blogs, and leading webinars to drive the narrative around trusted Enterprise AI.

🎯 Requirements

• 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) and an understanding of hybrid deployment factors (public vs. private cloud). • You understand that a Data Lake is more than just a storage dump. You are 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.

🏖️ Benefits

• Generous PTO Policy • Support work life balance with Unplugged Days • Flexible WFH Policy • Mental & Physical Wellness programs • Phone and Internet Reimbursement program • Access to Continued Career Development • Comprehensive Benefits and Competitive Packages • Paid Volunteer Time • Employee Resource Groups