Open to Mid-Market & Enterprise AE Roles

I run the process.
I build the tools.

Enterprise-grade sales portfolio demonstrating full-cycle deal execution, revenue intelligence, and AI-powered account strategy — built to perform from day one.

99th
Percentile — All KPIs
$1M+
Closed in First 6 Months
140+
Deals Managed Simultaneously
Here's what I've been building.
I wanted to show how I think about sales, not just talk about it. So I built the playbook, the analytics engine, and the AI tools — the same way I built and trained my own team from scratch at my last company.
🎯

I can run the deal

A complete enterprise sales sequence from discovery through executive business case — demonstrating multi-stakeholder selling, MEDDPICC qualification, and the consultative approach that closes six-figure deals.

📊

I understand the metrics

An interactive revenue intelligence dashboard built on realistic enterprise data — pipeline coverage, forecast accuracy, multi-thread depth, and the KPIs that separate top performers from the rest.

I build AI to work smarter

An AI-powered account planning engine that generates comprehensive enterprise account plans in minutes — stakeholder mapping, pain hypotheses, MEDDPICC discovery questions, and multi-touch sequences.

Portfolio
The work
Each project stands alone and works together. Click through to see walkthroughs, methodology, and how I'd use each one on day one.
Project 01
Highest Priority

Enterprise Discovery-to-Demo Sales Sequence

The Scenario

A live mock demo selling ATLAS — an enterprise AI platform — into Meridian Capital Group, a $48B global financial services firm with 85,000 employees across 40 countries.

The setup: Discovery has already been run with David Park, Meridian's CTO. The wealth management division is burning 12,000 hours per quarter on manual research and client reporting — roughly $30M annually in unrealized revenue. Six business units are requesting AI independently with no unified strategy, and after a competitor's data incident, every AI vendor faces heightened regulatory scrutiny.

The room: The CTO, Chief AI Officer, VP of Wealth Management, and CISO.

What you're watching: A consultative enterprise demo built on loss aversion, various proven sales methodologies, and MEDDPICC qualification — addressing exactly what the buyer said they needed, nothing more. Every feature is framed around what the prospect is losing today, anchored with a real customer story, and closed with a specific next step.

↕ Scroll for full scenario
Multi-stakeholder discovery with natural MEDDPICC qualification
Demo structured for CTO, AI Officer, VP, and CISO audiences
Executive business case with ROI model and implementation roadmap
Product-agnostic framework — maps to any enterprise AI platform
Project 02
High Priority

Enterprise Revenue Intelligence Dashboard

An interactive four-page dashboard built on realistic enterprise sales data — pipeline health, revenue performance, multi-thread analytics, and AI product impact. The same views a VP of Sales reviews in Monday forecast calls.

Pipeline coverage, forecast accuracy, and deal velocity by segment
Multi-thread depth correlated with win rates
Rep analytics with quota attainment and loss reason analysis
Built on mock data — ready to rebuild with real CRM data on day one
View Dashboard
Project 03
AI-Powered

Enterprise Account Planning Engine

An AI-powered workflow that takes a company name and produces a comprehensive account plan in minutes — organizational mapping, pain hypotheses, MEDDPICC discovery questions, and personalized multi-touch outreach for 3-5 stakeholders.

Automated company intelligence and strategic signal detection
Stakeholder mapping with engagement priority and likely concerns
Hyper-personalized outreach sequences per decision-maker
Competitive positioning and objection handling tailored per account
Background
Who I am

I'm Ajla Botic — a sales professional who operates at the intersection of consultative selling, business intelligence, and AI.

I currently work in licensed financial sales at a Fortune 100 financial services firm, where I rank in the 99th percentile across all KPIs out of thousands of reps. I handle 100+ consultative activities per day and earned my SIE, Series 7, and Series 63 licenses in 2.5 months.

Before that, I was an Account Manager at the largest personal injury firm in the country, where I closed over $1M in settlements in my first six months, managed 140+ active cases in Salesforce, and built pipeline through cold outreach and referral networks. I also built and ran my own team — recruited, trained, and managed reps while reporting directly to the Managing Partner of the #1 team nationally. Individual deal values ranged from $10K to $250K — complex, multi-stakeholder deals with sophisticated buyers on the other side.

On the side, I build and deploy AI agents for an AI tech startup — data integration, conversational AI, workflow automation, and campaign execution. I'm not just using AI tools. I'm building them.

I hold a B.S. in Business Intelligence from the University of North Florida, with coursework in data analytics, database management, CRM systems, and business statistics.

SQL Tableau Power BI Salesforce Outreach LinkedIn Sales Navigator ZoomInfo Excel (Advanced) AI Agent Development MEDDPICC Enterprise Sales Data Analytics
Current Focus
Mid-Market & Enterprise AE
AI & SaaS platforms — Growth through Enterprise segment
Education
B.S. Business Intelligence
University of North Florida — Dec 2024
Licenses
Series 7, 63, SIE
Earned in 2.5 months
Let's Talk
Let's build something that hasn't been done yet.

I'm looking for a team that challenges norms, moves fast, and isn't afraid of new ideas. If you're building the future of AI and want an AE who brings strategy, technical fluency, and a builder's mindset — I'd love to talk.