Served as the onlySales Engineer
for nearly my entire EdgeTier tenure. Personally connecting the commercial and technical sides through continuous customer-facing action while diagnosing issues and directly implementing code changes myself.
I'm at my bestbetween customers& technical teams.
My former CEO at EdgeTier, Shane Lynn , described me as “particularly effective at understanding customer requirements” and connecting customer feedback with product and technical implementation.
01
Selected impact
Ranked#1of110+
Energy Advisors in both gross sales and qualified-lead-to-sale conversion rate.
Discovered a flawaffecting750k+
AWS CloudWatch customer models. Quantified the impact, presented findings and possible solutions to senior leadership, and led worldwide implementation of the fix.
Achieved0.95mAP
as the sole Machine Learning Engineer at PaceFactory, improving model performance by ~90% over the existing product.
Led Migrationof5 000+
AWS CloudWatch-wide KPI alarms to coordinate developer execution and improve service-wide operational consistency.
02
Experience
Customer-facing by instinct and experience.Technical by training.
My path spans consultative sales, AI SaaS sales engineering, cloud engineering, and production machine learning.
Across each role, I have done my best work by understanding the real problem, explaining it clearly, and working with the right people to solve it.
EdgeTier
Sales Engineer
Connected customer requirements with product and technical implementation
across sales, customer success, engineering, and data science.
- Led technical discovery, tailored demos, solution-design discussions, and POC evaluations with Account Executives.
- Translated customer workflows, operational pain points, and data requirements into solutions, implementing code changes directly when possible.
- Turned broader customer requirements into product feedback, customer-specific features, and reusable platform improvements across Sales, Product, and Engineering.
EnergyPal
Solar Energy Advisor
Turned homeowner financial and power needs into clear, individually tailored residential solar proposals.
- Conducted an average of 30 inbound consultations each week.
- Became the second-fastest Energy Advisor in company history to reach 10 sales.
- Ranked 1st across 110+ advisors in gross sales & qualified-lead-to-sale conversion rate in active markets.
Amazon Web Services · CloudWatch
Software Development Engineer
Combined quantitative investigation, technical leadership, and customer communication on a global cloud service.
- Found a longstanding statistical-model flaw affecting 750,000+ customer models.
- Led a four-month migration of 5,000+ KPI alarms across the service.
- Spearheaded an operational improvement initiative that saved ~5 hours per developer each week, improved estimation accuracy by ~33%, and increased sprint output by ~10% across a ~1,300-person sub-organization.
- Represented the service at AWS DevCon Madrid.
PaceFactory
Machine Learning Engineer
Combined customer discovery with sole ownership of production machine-learning systems.
- Participated in client discovery and feature-request calls while supporting new-client acquisition and account expansion as the ML solution engineer, translating customer needs into product and technical requirements.
- Led productionization of machine-learned perception and tracking modules as the sole ML engineer.
- Trained and implemented a real-time object detection and tracking pipeline using YOLOv4 and DeepSORT.
- Achieved 0.95 mAP, improving model performance by approximately 90% over the existing product.
“Jack has a relatively rare combination of enough technical skill to diagnose and test an API error while also being able to speak with customers about their business goals and trial success criteria—ideal for the sales engineering role.”
“Jack was without a doubt one of the brightest young professionals I ever had the privilege to hire, train and work with.I wrote a glaring letter to help him secure the job over in Europe, even though I knew it meant we'd lose one of our best young talents.Jack is amazing.”
04
What I bring
Technical depth. Customer focus.
Customer-facing technical work
Technical discovery, onboarding, demos, diagnosis, solution design, and clear explanations of product value.
I enjoy talking through a problem with a customer, understanding what they actually need, and making the technical path clear.
Engineering foundation and analytical training
AWS cloud systems, Python, Java, JavaScript, REST APIs and system integration, SQL/PostgreSQL, Docker, Linux.
B.A.Sc. in Computer Engineering and Applied Mathematics from Queen’s University; 3.7 GPA and Dean’s List scholar.
05
Beyond the work
A few things that keep me moving.
Basketball, travel, skiing, golf, personal training / nutrition coaching and time outside are all important parts of my life.
Open to the right next role
Have a customer problem that needs technical clarity?
I'd be glad to hear about Solutions Engineering, Sales Engineering, FDE, or adjacent product-facing technical opportunities.