Solution Engineer

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.