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ai prompt engineering apis llms vector databases📋 Description
- Own Presales end-to-end: pipeline, solution strategy, POC governance, and win/loss review
- Lead on complex enterprise AI deals from first discovery through technical sign-off
- Design and oversee POCs — including data requirements, model evaluation, integration architecture, and results framing
- Coach Solutions Consultants on AI solutioning, technical storytelling, and commercial positioning
- Build repeatable playbooks, demo frameworks, and discovery guides specific to AI/ML products
- Feed structured field intelligence back into Product and GTM strategy
🎯 Requirements
- 12–16 years in Pre-Sales, Solution Consulting, or Sales Engineering — 3+ years leading a team
- Last 2+ years hands-on in AI product Pre-Sales — not adjacent to it, in it
- AI stack knowledge: LLMs, embeddings, vector DBs, token costs, prompt engineering, RAG, APIs
- Able to scope and run technically rigorous POCs without needing an engineer to translate
- Commercial fluency around AI pricing models — tokens, compute, licensing, and total cost of ownership discussions
- Deep experience with complex, multi-stakeholder enterprise sales cycles
- A hands-on coach who leads discovery, demos, and debriefs with the team
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