Map the current state, define the future state, and quantify the cost of inaction.
ALEX BEAUCHAMP / AI-NATIVE SAAS SELLER
Hi, I’m Alex.
I’m a methodical SaaS seller with 8+ years 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 a GTM builder with hands-on experience across AI products, APIs, MCPs, databases, agents, and applications. That technical fluency helps me sell complex products more credibly and build systems that give commercial teams more leverage.
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.
The tools behind the products.
Hands-on building across the AI, data, and product systems that support modern commercial teams.
OpenAI Apps SDKI 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 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.
Firmographic, growth, hiring, funding, traffic, and buyer data in one view.
Uses verified company changes to surface the accounts worth focusing on first.
Turns signals into an outreach thesis, discovery questions, and a path to a business case.
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.
One example is an AI video outreach automation: a seller records once, tailors each opening with AI, distributes through LinkedIn and Gmail, and uses engagement signals to guide follow-up.

REVENUE RECORD
A proven record across 8+ years of SaaS sales.
Q4FY25: 27 self-sourced opportunities, $80K qualified pipeline, and $19K closed-won MRR. Separately reported: one complex $17K MRR deal. Q3FY25: 114% of quota.
$1.7M ARR closed over two years. Achieved 127% of quota in 2022, ranked in the top 10% of AEs, and expanded Brooklyn Bedding from $10K to $90K ARR in nine months.
Grew Toast’s West Hollywood footprint by 200% in 10 months, closed 60+ net-new restaurant accounts, and achieved 115% of quota in Q3 and Q4 2019.
Sourced and qualified an $800K cloud opportunity at Ryerson University, earned MVP for Q1 2018, and qualified 70+ public-sector opportunities in FY17 contributing to $950K in closed-won revenue.
Looking for an AI-native seller who can understand the product, build the business case, and create GTM leverage?
I’m exploring mid-market, enterprise, and founding AE roles at AI, data, infrastructure, and technical-product companies, along with select GTM builder opportunities.
alexander.awb@gmail.com