About the role
<p><em>Dental workflows still run on manual processes. Build the intelligence that changes that.&nbsp;</em></p> <p><em><span data-contrast="none">On-site | Vancouver Office – 675 W Hastings St.</span></em><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240}">&nbsp;</span></p> <p><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240}">&nbsp;</span></p> <p><strong>The Problem We're Solving</strong></p> <p>Dental labs and clinics run on fragmented, manual processes — case handoffs, data entry, workflow tracking, quality checks — none of it automated, most of it repeated daily. EviSmart's platform exists to replace that. The AI and automation infrastructure is the engine underneath everything: routing decisions, predictive analytics, intelligent process orchestration. The obstacle isn't ambition — it's execution. Someone needs to own the automation layer end-to-end, from identifying the right processes to deploying production-grade solutions that hold up at scale. That's what this role does.</p> <p>&nbsp;</p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">Why EviSmart</span></span></strong></p> <ul> <li style="line-height: 2;">300 people. Two hubs: Vancouver HQ and Manila operations.</li> <li style="line-height: 2;">145% year-over-year SaaS growth — the market is responding.</li> <li style="line-height: 2;">28 countries. One platform. The dental industry's Autopilot.</li> <li style="line-height: 2;">An in-house AI model research and development team building proprietary intelligence.</li> </ul> <p>&nbsp;</p> <p><strong>Why This Role, Right Now</strong></p> <p>EviSmart isn't experimenting with AI — it's already embedded in the product and the roadmap depends on it going deeper. The automation layer needs an engineer who can move from strategy to shipped solution: identifying high-value process targets, integrating LLMs and ML models into real workflows, and building the data discipline that makes all of it reliable over time. The 2026 roadmap is aggressive. The opportunity to shape EviSmart's automation foundation — not inherit it — is open right now.</p> <p>&nbsp;</p> <p><strong>A Note from the Team&nbsp;</str