סקירה כללית
The Company We are a high-growth data intelligence startup redefining how enterprise organizations interact with their internal knowledge. By leveraging a proprietary semantic fusion engine and advanced agentic interfaces, we enable teams to transform raw data into actionable insights through seamless, conversational AI research tools. The Role As a Solutions Engineer, you will serve as the primary technical partner for our most strategic enterprise accounts. You will bridge the gap between complex data strategy and hands-on execution, ensuring customers successfully scale their AI agents and optimize their semantic models to achieve long-term business value. Description * Serve as the dedicated technical advisor and primary point of contact for a portfolio of strategic enterprise customers. * Triage, investigate, and resolve deep technical hurdles to ensure a seamless platform experience. * Monitor customer data models and performance metrics proactively to identify optimization opportunities and prevent bottlenecks. * Partner with users to refine bespoke implementations and ensure their data stacks are optimized for platform performance. * Act as a high-level customer advocate by translating complex field requirements into structured product feedback. * Collaborate closely with internal Engineering and Product squads to prioritize long-term technical enhancements and features. * Guide customers through the architectural requirements of deploying agentic AI capabilities at scale. Requirements * 7+ years of hands-on experience building and optimizing Cloud Data Warehouses such as Snowflake, BigQuery, or Databricks. * Expertise in performance-tuning complex SQL queries and managing both relational and NoSQL database systems. * Advanced proficiency in writing and refactoring production-grade Python code for automated data workflows. * Proven track record of building scalable data models and semantic layers from the ground up. * Deep understanding of AI-driven applications, prompt engineering, and the architecture of agentic systems. * Experience deploying BI platforms like Looker, Sigma, or Tableau to demonstrate ROI to executive stakeholders. * Strong background in technical troubleshooting and root-cause analysis for enterprise-grade software. * Background in managing MongoDB or similar non-relational systems
– advantage.
דרישות המשרה
into structured product feedback. * Collaborate closely with internal Engineering and Product squads to prioritize long-term technical enhancements and features. * Guide customers through the architectural requirements of deploying agentic AI capabilities at scale. Requirements * 7+ years of hands-on experience building and optimizing Cloud Data Warehouses such as Snowflake, BigQuery, or Databrick
