Senior Solutions Engineer

🔥 0 minutes ago

🇨🇭 Switzerland – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $4.1M Venture Round on 2013-01

Consulting • Healthcare • Logistics

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

📋 Description

• Own the technical sales process from introductory net-new-sales meetings through post-sales customer satisfaction, upselling, and subscription renewals • Support customers by discovering use cases for Cloudera technology, especially Generative AI, predictive analytics, and enterprise MLOps • Design customer solutions using Cloudera technologies, reference architectures, and common patterns such as Open Data Lakehouse, RAG, and end-to-end ML pipelines • Demonstrate Cloudera products, including data engineering pipelines, model training/deployment workflows, and Generative AI features • Partner with Account Managers to communicate the business and technical value of Cloudera solutions and drive sales • Present product roadmap and vision, including AI capabilities, hybrid MLOps, and secure data access • Interface with Cloudera teams to provide a consistent customer experience • Advocate customer needs to Product Management and Engineering • Participate in conferences, meetups, webinars, blogs, and other external evangelism • Achieve annual sales expectations aligned to a team target • Participate in knowledge exchange with peers and the wider community

🎯 Requirements

• Minimum of 8 years of experience in a customer-facing role, ideally in a pre-sales context focused on big data platforms, enterprise software, or advanced analytics platforms • Ability to create and give technical presentations and demonstrations translating complex data and AI concepts into strategic business value • Experience with Big Data, Data Warehousing, or Relational Databases, including Apache Iceberg, Apache Spark, Hive, or the Hadoop ecosystem • Hands-on experience building, integrating, and deploying AI solutions using PyTorch, Hugging Face, LangChain/LlamaIndex, vector databases, and MLOps tooling • Deep understanding of Generative AI architectures, including RAG, fine-tuning, and model serving • Experience with AWS, Azure, or GCP • Experience with enterprise operations, security, and data governance, including data privacy, compliance, and AI model/data asset governance • Experience with Unix or Linux environments and shell scripting • Experience gathering and understanding customer business requirements across traditional data engineering and modern AI applications • Excellent written and verbal communication skills • Strong problem-solving skills and an analytical mindset • Four-year degree (Bachelor's) from an accredited university required; Computer Science, Data Science, Engineering, or related quantitative field preferred • Ability to travel domestically and internationally

🏖️ Benefits

• Generous PTO Policy • Unplugged Days supporting work-life balance • 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