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Solutions Engineer, Indonesia

Verta

Verta

Jakarta, Indonesia
Posted on Oct 22, 2025
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Business Area:

Sales Engineering

Seniority Level:

Mid-Senior level

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.

A Cloudera Solutions Engineer is a customer-facing technical expert responsible for designing and architecting data and AI solutions using Cloudera's platform, working with customers on technical wins, and driving adoption through demos and proof-of-concepts. Key responsibilities include understanding customer needs, creating end-to-end machine learning and Generative AI (GenAI) solutions, delivering technical presentations, and collaborating with sales, product, and other internal teams.
Key Responsibilities
  • Customer Engagement:
    Partner with customers to understand their business and technical requirements for data and AI solutions.
  • Solution Design:
    Architect end-to-end solutions leveraging Cloudera technologies, covering data ingestion, transformation, governance, and machine learning.
  • Technical Leadership:
    Lead technical conversations and provide expertise in areas like MLOps, data science workflows, and GenAI integration.
  • Sales Process Ownership:
    Drive the technical aspects of the sales process from initial engagement to post-sales success.
  • Technical Demonstrations:
    Deliver engaging demonstrations, whiteboarding sessions, and proof-of-concepts to showcase the value of Cloudera's platform.
  • Cross-Functional Collaboration:
    Work closely with sales, product, R&D, marketing, and customer success teams to ensure customer success and strategic growth.
  • Evangelism:
    Evangelize Cloudera's data and AI platform vision to various stakeholders, including data analyst, data scientists, ML engineers, and business leaders.
Required Skills & Experience
  • Technical Expertise:
    Strong hands-on experience in AI/ML, including model development, deployment, and MLOps pipelines.
  • Generative AI:
    Experience with GenAI models, frameworks, prompt engineering, and RAG (Retrieval-Augmented Generation) pipelines.
  • Customer-Facing Experience:
    A minimum of 5 years of experience in a customer-facing technical role, preferably in a pre-sales environment.
  • Cloud & Big Data Experience:
    Experience with major cloud providers (AWS, Azure, GCP) and big data technologies.
  • Communication Skills:
    Excellent verbal and written communication skills to explain complex technical concepts to both technical and business audiences.
  • Problem-Solving & Curiosity:
    Strong problem-solving abilities and a willingness to learn and stay curious.
  • Education:
    A Bachelor's degree or higher in Computer Science, Engineering, or a related field is typically required.

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

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