Seven reasons
to hire Yamine Gluchow

The AI transformation is delivered, not planned

At Lightspeed Commerce I rebuilt a customer organization of 1,000+ agents around AI. Governed AI agents now resolve 43,000+ requests a month autonomously — and the organization runs at under 400 people, with no impact to satisfaction scores.

The hard part came first: 11 acquisitions, one platform

AI at scale was only possible because of what came first — consolidating the CRM, ERP, and cloud data infrastructure of 11 acquisitions onto a single, modernized architecture. Clean data, unified processes, retired technical debt.

Delivered with a 7-figure OpEx reduction, without slowing revenue or adding headcount.

I run technology like a product organization

I led a 120-person org spanning engineering, enterprise product management, systems, and data — with 15 enterprise PMs owning roadmaps and adoption KPIs across ERP, CRM, data, and internal AI tooling. Outcomes over tickets.

It's the structural answer to the oldest problem in the function: infrastructure losing to growth, every planning cycle.

Technology spend shows up as revenue, not overhead

Predictive churn and expansion models, built with the CRO and CFO, cut churn 20%. Re-engineered onboarding cut time-to-value 30% and captured 20% more revenue through orchestration.

I own the estate end to end — business case to board outcome

A $25M+ technology P&L, the enterprise vendor portfolio, IT operations and end-user computing, and the SOX IT general controls — for a 3,000+ employee public company.

I've built at hyper-growth, not just at maturity

At Airbnb during hyper-growth, I built the analytics and data foundation for the luxury business — propensity models and testing frameworks driving a 15% uplift in global bookings.

At DAVIDsTEA, I launched the e-commerce business inside a 250-store legacy retailer and took digital from zero to 40% of company revenue in 12 months.

I work both lanes

Mature, post-acquisition estate? Consolidate and modernize until AI and scale are possible. Earlier-stage? Build the architecture, data foundation, and operating model before infrastructure starts losing to growth — because it almost always does.

Either way: one owner, end to end.

And don't take my word for it — when Google Cloud, Salesforce, Intercom, and Zendesk want someone to show their customers what enterprise AI transformation looks like in practice, they hand me the stage.