Senior Solutions Engineer – AI

Job description

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Job Description: 

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry.  Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

This position  will serve as a customer-facing, hands-on technologist with a track record of success. You will be the technical authority for Cloudera’s Enterprise AI portfolio, bridging the gap between complex data architectures and actionable AI business outcomes.

In this senior individual contributor role, you will own the technical sales strategy for the industry’s only platform bringing AI to data anywhere. You will not only demonstrate technology but also inspire customers to think bigger about their AI roadmap, ensuring they understand the value of the Open Data Lakehouse and Unified Data Fabric.

As a Senior Solutions Engineer AI, you will:

• Own the Technical Sales Lifecycle: Drive the technical sales process from introductory meetings and discovery through to post-sales success, upselling, and subscription renewals.

• Architect AI Solutions: 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.

• Strategic Evangelism: 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.

• Demonstrate Value: Create and deliver inspiring technical presentations and demonstrations that compel customers to say “yes” to Cloudera. Partner with Account Managers to articulate the true business value of our solutions.

• Voice of the Customer: Interface with Product Management and Engineering to advocate for your customers' needs, transforming feedback from the field into actionable roadmap items.

• Community Leadership: Participate in external publicity and evangelism, including speaking at conferences, writing blogs, and leading webinars to drive the narrative around trusted Enterprise AI.

We’re Excited About You If You Have:

• Senior Experience: A minimum of 8 years of experience in a customer-facing role, ideally in a pre-sales or solutions engineering context.

• AI & Data Proficiency: Deep experience with Data Engineering, Data Science, or Machine Learning. You understand the difference between Data Engineering and Data Science and can navigate the technical nuances of AI Assistants and Data Services.

• Cloud Architecture Skills: Proficiency with one or more major cloud service providers (AWS, Azure, or GCP) and an understanding of hybrid deployment factors (public vs. private cloud).

• Enterprise Governance: 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.

• Technical Versatility: Experience with Big Data, Data Warehousing (e.g., Iceberg), or Relational Databases, as well as familiarity with Unix/Linux environments.

• Communication Mastery: Excellent written and verbal communication skills, with the ability to whiteboard complex architectures and gather business requirements effectively.

• Passion & Curiosity: A willingness to learn, a curiosity to discover new use cases for Cloudera technology, and a drive to make your customers successful.

What you can expect from us:

• 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

EEO/VEVRAA