You have opted out of job matches in .
To undo this, go to the 'Skills and Interests' section of your preferences.
Shared by 
2 days ago
Requirements and responsibilities
The MissionAtScale is the semantic layer for modern data and AI. We bridge the gap between complex cloud data platforms, like Snowflake, Databricks, and Google BigQuery, and the business users who need consistent, AI-ready analytics. We are looking for an EMEA based Solutions Engineer to help us redefine how the world handles business intelligence and AI.The Impact You’ll MakeDrive the Technical Sales Cycle: Act as a trusted technical advisor from discovery through PoC, translating business and AI requirements into clear, compelling solutions.Execute High-Impact PoCs: Set up, create semantic models, and validate outcomes across Generative AI, Agents, or BI tools to ensure technical alignment and executive buy-in.Influence Product Innovation: Use field feedback to steer product development and stay ahead of the competitive landscape to ensure superior technical positioning.Why You’ll Love It HereOwnership & Autonomy: You thrive as an individual contributor, owning your outcomes and driving real change within a flat hierarchy that enables fast decision-making.Innovation-First: Work at the intersection of AI and data at a company hitting its next major inflection point, leading the next wave of analytics innovation.Culture of Trust: Enjoy a flexible, remote-friendly environment built on transparency, professional growth, and strong collaboration.Who You AreYou are comfortable in fast-paced environments where priorities can shift quickly.You value quality over speed and are curious about using AI to improve efficiency.You have 5+ years of experience in pre-sales/solutions engineering within the AI/BI space, with hands-on knowledge of SQL, Cloud Data Warehouses, and Generative/Agentic AI.The PerksCompetitive salary + equity.Unlimited PTO and comprehensive benefits.The chance to shape the future of a global leader in AI-ready analytics.Ready to build the future of data? Visit www.atscale.com to learn more.