Solutions Engineer

7-10+ years in technical pre-sales, data engineering, solutions architecture, or similar customer-facing technical roles Strong expertise in data modeling, data platforms, and ETL/data pipelines Experience with knowledge graphs, ontologies, or semantic technologies strongly preferred Proficiency in scripting and automation (Python preferred) Hands-on experience with AI coding tools (Claude Code, Cursor, GitHub Copilot, etc.) Deep understanding of enterprise data platforms and cloud architectures (AWS, Azure, GCP) Proven track record in customer-facing technical roles with demonstrated sales impact Exceptional presentation and communication skills with technical and business audiences Bachelor's degree in Computer Science, Engineering, Data Science, or related field Experience in B2B SaaS, AI/ML, or data quality solutions preferred

Lead independent POV engagements with enterprise prospects, designing custom ontologies and configuring solutions within 3-5 day cycles Conduct technical discovery and present solutions to Data Engineers, Enterprise Architects, and AI/ML Engineers Support Account Executives throughout sales cycles with primary ownership during technical evaluation and POV phases Work directly with Engineering on technical challenges and custom implementations during POVs Continue engagement through deal closing and initial customer onboarding alongside Customer Success Support existing customer expansion opportunities as part of land-and-expand strategy Collaborate with Field CTO to build reusable ontology templates and POV best practices