Solutions Engineer

• Map unfamiliar client technology stacks, including CRM, ERP, finance tools, spreadsheets, and undocumented automations
• Run technical deep dives during paid Leadership Intensives
• Conduct screen-share walkthroughs, probe data structures, and map integration surfaces
• Design interview guides, screen-share protocols, and process inventories
• Synthesize findings from client interviews
• Safely handle regulated or sensitive data using de-identified exports or synthetic datasets when appropriate
• Prepare executive use cases and technical scaffolding for live build sessions
• Debug live technical issues during executive build sessions
• Calibrate demos honestly and explain gaps between prototypes and production solutions
• Author 90-day technical roadmaps covering outcomes, effort sizing, sequencing, data prerequisites, and team composition
• Consult delivery engineers on feasibility and pass internal feasibility-and-margin review
• Create roadmaps that balance foundation-layer and client-specific work
• Build rapid proofs of concept using client data and AI tooling
• Maintain the opportunity library of reusable patterns
• Maintain schemas and knowledge for the AI diagnosis system
• Support engineering hiring by observing and co-scoring technical assessments
• Participate in feasibility reviews and improve roadmap turnaround