Cloudera

1 month ago

Solutions Engineer – Artificial Intelligence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours 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: 3.8

Website LinkedIn

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Cloudera

1 month ago

Solutions Engineer – Artificial Intelligence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

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: 3.8

Website LinkedIn