Solutions Engineer – Artificial Intelligence at Cloudera in Singapore-Remote

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.
• About Cloudera
• We are on a mission to make data and analytics easy and accessible to everyone. The work we do empowers any organization—from the world's largest enterprises to small nonprofits—to use data to solve some of the most complex challenges that impact businesses, communities, and lives.
• At Cloudera, we are Customer Driven & People First. We believe in the power of our people because when we bring together bold ideas, collaboration, and purpose, we do not just imagine the future—we help build it.
• 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.

Responsibilities

• Innovation Lifecycle - develop advanced techniques, solutions, and methodologies for customer core business process adoption
• Research Engineering - assist domain experts, scientists, data scientists and technical engineers to develop AI Solutions to meet organizational objectives to include
• Computational Engineering - 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
• Research Consultation - 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
• 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.

Requirements

• 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.

Skills

Required

• Data Engineering
• Data Science
• Machine Learning
• Cloud Architecture (AWS, Azure, or GCP)
• Big Data
• Data Warehousing (e.g., Iceberg)
• Relational Databases
• Unix/Linux environments
• Whiteboarding complex architectures
• Gathering business requirements

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