Current state, future state, and the cost of inaction—turned into a case for change.
ALEX BEAUCHAMP / SR. MID-MARKET ACCOUNT EXECUTIVE
Hi, I’m Alex.
I’m a methodical SaaS seller with nearly a decade of experience across Oracle, Toast, Celigo, and Route.My approach is grounded in Gap Selling: understand the current state, define the future state, quantify the gap, and build a business case for change.
I’m also deeply technical and focused on AI, APIs, MCPs, databases, agents, and applications. I use that knowledge to sell technical products more credibly and build better GTM systems.
Sales discipline, technical fluency, and GTM creativity.
I use the same approach across the work below: understand the commercial problem, understand the technical constraints, then build the clearest path to a useful outcome.
Enough depth to have real conversations with product, data, and engineering teams.
Account plans, ROI tools, and GTM automations that make the sales motion more efficient.
I build GTM automations that give sellers more leverage.
I have spent years doing the manual work behind pipeline: researching accounts, deciding where to spend time, preparing for discovery, and building the business case. When that work repeats, I look for a way to automate it.
The workspace on the right is one example—an account-prioritization automation I built for myself. The same approach can help a team focus on higher-quality accounts, prepare faster, and enter conversations with better context.
One workspace for the company changes that shape outreach, discovery, and account priority.
Firmographic, growth, hiring, funding, traffic, and buyer data in one view.
Interprets changes, ranks the strongest signals, and surfaces the accounts worth focusing on first.
Turns signals into an outreach thesis, discovery questions, and a path to a business case.
I build AI products and understand the architecture behind them.
For an AI company, that means I can work with product, engineering, and technical buyers without a translation layer. I understand and build with MCPs, APIs, tool integrations, data, agent workflows, structured outputs, and ChatGPT/Claude interfaces.
Tyra on the right is one example: an AI decision app built around inventory, tool-backed responses, and a recommendation a user can act on.
CHATGPT APP STOREOpen Tyra in ChatGPT↗One of the first 500 apps in ChatGPT
Hardcoded product demo · no live recommendations
I turn GTM ideas into products that create pipeline.
I think about GTM beyond the sequence and the call. Where there is a broken buyer experience or wasted manual work, I see a product opportunity.
Gist is one example: a personalized video and voice platform that lets a seller record once, tailor each opening with AI, distribute through LinkedIn and Gmail, and use engagement signals to guide follow-up.

REVENUE RECORD
Nearly a decade of quota-carrying sales experience.
27 self-sourced opportunities · $80K qualified pipeline · $19K closed-won MRR · 114% quota
$1.7M ARR closed · 127% quota · top 10% performer · $10K → $90K ARR expansion
60+ net-new accounts · 200% market growth · $800K cloud opportunity sourced
AI AE, mid-market or enterprise AE, and GTM opportunities.
alexander.awb@gmail.com