Senior Solutions Engineer

This is a fully remote position, open to applicants in Switzerland.

📋 Description

• Manage the technical sales process from initial net-new sales meetings to post-sales customer satisfaction, including upselling and subscription renewals.

• Assist customers in identifying use cases for Cloudera technology, with a focus on Generative AI, predictive analytics, and enterprise MLOps.

• Create customer solutions utilizing Cloudera technologies, reference architectures, and common frameworks such as Open Data Lakehouse, RAG, and end-to-end ML pipelines.

• Showcase Cloudera products, which encompass data engineering pipelines, model training and deployment workflows, and features related to Generative AI.

• Collaborate with Account Managers to articulate the business and technical advantages of Cloudera solutions and facilitate sales efforts.

• Present the product roadmap and vision, highlighting AI capabilities, hybrid MLOps, and secure data access.

• Engage with Cloudera teams to ensure a seamless customer experience.

• Represent customer needs to Product Management and Engineering teams.

• Participate in conferences, meetups, webinars, blogs, and other forms of external advocacy.

• Meet annual sales goals in alignment with team objectives.

• Engage in knowledge sharing with colleagues and the broader community.

⛳️ Requirements

• At least 8 years of experience in a customer-facing role, preferably in a pre-sales context focusing on big data platforms, enterprise software, or advanced analytics platforms.

• Proficient in creating and delivering technical presentations and demonstrations that translate 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 in building, integrating, and deploying AI solutions using PyTorch, Hugging Face, LangChain/LlamaIndex, vector databases, and MLOps tools.

• In-depth understanding of Generative AI architectures, including RAG, fine-tuning, and model serving.

• Familiarity with AWS, Azure, or GCP.

• Knowledge of enterprise operations, security, and data governance, including data privacy, compliance, and AI model/data asset governance.

• Experience working in Unix or Linux environments and with shell scripting.

• Ability to gather and comprehend customer business requirements across traditional data engineering and modern AI applications.

• Excellent verbal and written communication skills.

• Strong analytical mindset and problem-solving abilities.

• A Bachelor's degree from an accredited university is required; a degree in Computer Science, Data Science, Engineering, or a related quantitative field is preferred.

• Willingness to travel domestically and internationally.

🏝️ Benefits

• Generous PTO Policy

• Unplugged Days to promote work-life balance

• Flexible Work From Home Policy

• Programs for Mental & Physical Wellness

• Phone and Internet Reimbursement program

• Opportunities for Continued Career Development

• Comprehensive Benefits and Competitive Packages

• Paid Volunteer Time

• Employee Resource Groups