About

I like working where marketing meets the actual problem.

My work has moved across retail, education, and digital products, often in environments serving customers from different cultural backgrounds. In each setting, I’ve tended to work the same way: figure out what the problem actually is, learn whatever I’m missing, and stay involved long enough to see what happens in practice.

Career context

How I got here

Three different environments shaped how I approach the work now.

Retail taught me how marketing operates

BabySquare was my first job in Canada, and I progressed from Marketing Coordinator to Marketing Manager. Retail taught me to work from annual and quarterly plans while responding to the questions, inventory changes, vendor requirements, and sales needs that arrived each day. The website, e-commerce, and physical stores all affected one another. Working in Greater Vancouver also meant paying attention to how customer needs, shopping occasions, and channels could differ across communities. That was where many of my working habits formed: check the details, respect the rules around the work, and turn recurring tasks into processes other people can actually use.

Customer conversations changed how I understood marketing

Working in education put me close to parents and students trying to make decisions in an unfamiliar system. I had to learn the domain quickly, and AI helped me research, compare information, and structure questions faster. It did not remove the need to check credible sources or understand the context behind an answer. Repeated customer questions began to shape the content I made, the questions I asked in consultations, and the program ideas and positioning I worked on. Over time, I paid less attention to the request at face value and more to the decision behind it, including what someone needed after they first became interested.

AI changed how much of an idea I could build myself

Tap to Share began with friction I kept noticing in how local businesses ask customers to share their experiences. I moved from framing the problem to making product decisions, working on the interface, and implementing the product. AI and Codex lowered the technical barriers enough for me to stay much closer to the build than I could on earlier website projects. The product is still being built, but I can now test ideas and turn more of them into something usable myself. AI helps me do more of the work, but it does not replace judgment, verification, product decisions, or understanding the customer.

Working principles

How I work

The environments changed, but a few habits kept proving useful.

Start with the real question

The first request is not always the actual problem. I try to understand what the customer, colleague, or business is really trying to accomplish before choosing the marketing response.

Verify before using

Information being easy to find does not make it reliable or usable. Before I use it, I want to know where it came from, whether it holds up in context, and whether I’m allowed to use it.

Build a repeatable way to do it

When work repeats, I tend to turn the checks, rules, and sequence into a reusable workflow. That makes the next round faster without lowering the standard of the work.

Stay close to execution

I prefer not to stop at recommendations. I like staying close enough to the actual work to see what changes once an idea has to function in the real world.

Next direction

What I’m moving toward

I’m interested in marketing roles that sit closer to product, growth, and customer insight, where I can stay involved in digital execution and marketing has some influence on what gets built. I want to keep doing work where I can understand the customer, help make decisions, and stay involved as those decisions are put into practice.

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