Solutions Engineer – Artificial Intelligence

Cloudera
Singapore
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Communication","Presentation","Collaboration","Leadership","Problem-solving"]

Senior, customer-facing Solutions Engineer for Cloudera’s Enterprise AI portfolio. Owns technical sales lifecycle, designs AI solutions using Cloudera tools, and influences enterprise AI roadmaps with C-level stakeholders while collaborating with product, engineering, and account teams.

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Cloudera
Cloudera
2 months ago

Solutions Engineer – Artificial Intelligence

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Last checked: 8 days agoStatus: Live

Job Summary

Senior, customer-facing Solutions Engineer for Cloudera’s Enterprise AI portfolio. Owns technical sales lifecycle, designs AI solutions using Cloudera tools, and influences enterprise AI roadmaps with C-level stakeholders while collaborating with product, engineering, and account teams.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •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.

Pay and Benefits

Perks:Paid LeaveRemote WorkWellness StipendPaid Volunteer

Key Requirements

  • •8+ years of customer-facing experience (pre-sales or solutions engineering)
  • •Deep experience with Data Engineering, Data Science, or Machine Learning
  • •Proficiency with one or more cloud providers (AWS, Azure, or GCP) and understanding of hybrid deployment
  • •Experience with Big Data, Data Warehousing (e.g., Iceberg), or Relational Databases, and Unix/Linux environments
  • •Excellent written and verbal communication skills, with ability to whiteboard complex architectures and gather business requirements
Experience:8+ yearsEnterprise AIData engineeringMachine learning
Skills:CommunicationPresentationCollaborationLeadershipProblem-solving
Tech Stack:IcebergUnixLinuxAWSAzureGCPData WarehousingCloudera AIAI InferenceAI StudiosAI Workbench

Company Brief

Cloudera
Provides a hybrid data platform for managing, analyzing, and securing enterprise data across cloud and on-premises environments, enabling machine learning, analytics, and data engineering at scale.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 500M to 1B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 2008
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn