Sales Engineer – Data

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November 24

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Spiritual Data

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Artificial Intelligence • SaaS • Productivity

Spiritual Data is an advanced analytics platform that empowers data teams through the use of artificial intelligence to enhance productivity and efficiency. Their tools, such as DataPilot, aim to automate and optimize data management tasks, revolutionizing how data engineering teams operate. By providing AI-driven insights and recommendations, Spiritual Data enables teams to improve their data documentation, quality testing, and query handling, resulting in significant cost savings and operational improvements. The company focuses on aiding analytics, platform, and data engineers by integrating their solutions seamlessly into daily workflows and popular platforms like VSCode, Python, and Slack, offering tools that auto-generate models, conduct tests, and provide documentation. Spiritual Data is a trusted solution among leading enterprises, offering robust security features without compromising on AI functionality.

- employees

🤖 Artificial Intelligence

☁️ SaaS

⚡ Productivity

📋 Description

• Lead the technical discovery and qualification process, presenting Altimate AI's platform capabilities and value proposition to prospective customers. • Serve as the primary technical point of contact for key accounts during the sales cycle, translating customer needs into clear, technical solutions and proof-of-concept requirements. • Develop custom scripts, integrations, and demos to showcase the capabilities of our platform and ensure seamless operation within customer ecosystems. • Troubleshoot, diagnose, and resolve technical issues during evaluations and proofs-of-concept related to data connectivity, performance, and workflow integration. • Contribute to the core product by identifying common sales blockers and integration patterns to provide feedback to the product and engineering teams. • Conduct technical workshops and provide expert guidance on data best practices, leveraging tools like Snowflake, Databricks, and dbt.

🎯 Requirements

• 4+ years of relevant technical Sales Engineering experience • Deep understanding and experience with the modern data stack, including: • Data Warehouses/Lakes (Snowflake, Databricks, or similar) • Data Transformation/Modeling (DBT) • Workflow Orchestration (Airflow or similar) • Experience running product pre-sale product demos and POCs.

🏖️ Benefits

• Professional development opportunities