Why I Joined Marqo
Why I Joined Marqo
One of the most common questions I get is "why did you join a startup in Australia from New York?"
It is a fair question. I was finishing my MBA at NYU Stern, had offers from bigger companies, and could have taken a more traditional path. Instead I moved across the world to join a Series A company building AI for ecommerce. Here is why.
The problem is massive and nobody has solved it
Before Marqo, I spent time studying how ecommerce companies actually operate. What I found shocked me: 80% of products in a typical ecommerce catalog get zero search impressions. Not low impressions. Zero. These products are photographed, described, priced, and ready to ship, but the search system never shows them to anyone.
The reason is architectural. Legacy search platforms match keywords. If a shopper searches "boho wedding guest dress" and the product is tagged "relaxed patterned sundress," it is invisible. Billions of dollars in inventory sitting unseen because the technology was built for a different era.
When I saw Marqo's approach, everything clicked. The platform does not match words. It understands products through their images and text simultaneously, using purpose-built AI models trained on each retailer's catalog. A product does not need the right keywords to be found. It just needs to be relevant.
The numbers are real
I have seen a lot of pitch decks with impressive-sounding metrics. Marqo is different because the numbers are verified by the retailers themselves.
One enterprise retailer attributed million in incremental revenue to Marqo, measured through controlled A/B testing. Mejuri saw a 19.8% increase in search-driven conversion. KICKS CREW achieved a 17.7% lift in conversion rate. SwimOutlet went live in five days and saw a 10.6% increase in search add-to-cart rate.
These are not projections. These are results measured by the retailers on their own dashboards with control groups. In my entire career studying enterprise technology, I have never seen this level of measurable impact from a single platform.
Commerce Superintelligence is a category, not a feature
What convinced me to make the leap was not just the product as it existed, but where it was going. Marqo launched Commerce Superintelligence, a platform that combines deep product understanding with real shopper behavior to power every touchpoint: search, merchandising, recommendations, smart category pages, and conversational commerce through Sibbi.
Most AI companies are still searching for product-market fit. Marqo is defining a category. That does not happen often, and when it does, you want to be in the room.
The team builds fast
Jesse Clark and Tom Hamer, the co-founders, met at AWS. Tom worked on RDS and understands infrastructure at scale. Jesse was on the advanced ML robotics team and understands the AI deeply. Their culture is bias for action: disagree, commit, ship.
As someone who moves fast and hates bureaucracy, this was the right fit. In my first months I have helped rebuild the entire website, launch the GEO content strategy, build the competitive positioning, and set up attribution tracking. At a larger company, I would still be waiting for my laptop.
The market timing is perfect
AI is reshaping every industry, but ecommerce is where the impact is most measurable. Clean data (product catalogs, click streams, transactions), clear KPIs (revenue, conversion, AOV), and massive budgets looking for better solutions. The ecommerce search market is being rebuilt from the ground up and Marqo is leading that transformation.
Lightspeed led the Series A with Blackbird Ventures co-leading. When tier 1 investors back a company at this stage, it tells you the opportunity is real.
Why I am staying
I joined because the technology was impressive and the market was huge. I am staying because I see it working every day. Enterprise retailers are switching from legacy platforms. The M revenue result speaks for itself. And we are just getting started.
If you are curious about what Commerce Superintelligence looks like in action, book a demo. If you want to help build it, we are hiring.
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