Product Manager, AI Products

Responsibilities

• Own The product roadmap for EviSmart's AI Design module - automated crown design targeting production scale, and the preference engine that learns each dentist's clinical specifications over time.
• Define The customer-facing product requirements for AI Crown: case submission flow, 3D design viewer, acceptance and rejection workflow, and the integration entry point with the dashboard platform.
• Instrument Every feature before it ships - adoption funnels, cohort analysis, usage patterns. Product decisions here are backed by evidence, not intuition or loudest-customer-wins.
• Own Competitive positioning against primary market challengers - know where EviSmart's differentiation is real, where it's at parity, and where it needs to close ground.
• Drive User validation continuously: conduct interviews, observe workflows, and build a user insight library the entire squad references for every product decision.
• Coordinate With the design operations team on the product side of the transition as AI handles more commodity casework and the team shifts toward complex cases.
• Expand Over time into product leadership for the dashboard platform - PLG hooks, self-serve signup, conversion funnels, and in-product upsell triggers.
• Nurture The existing platform PM - develop their product rigor, user validation practice, and roadmap prioritization while sharing accountability for platform outcomes.
• What You'll Get
• A seat where AI model decisions and product decisions meet.
• A two-in-a-box partnership with an ML lead: they own model accuracy, speed, and reliability - you own usability, adoption, and commercial performance.
• Direct customer access across 2,000+ labs - the feedback loop is fast, the stakes are real, and user research here isn't a quarterly exercise.
• A category-defining problem in a $40B industry where the incumbent software hasn't been rebuilt in a generation.
• Production AI tooling from day one: Claude, Cursor, and LLM-powered workflows built in-house - not a sandbox, not a pilot.
• Competitive compensation with salary range disclosed at offer.
• How We Work
• The Question You're Probably Asking

Benefits

Additional Information

The AI is proven. Now build the product that turns capability into a category. On-site | Vancouver Office - 675 W Hastings St. The Problem We're Solving Dental crown design is still largely manual and dependent on individual designer skill. EviSmart has built the AI that automates it. The models are in production, the accuracy is there, and the scale is coming. What doesn't exist yet is the product layer that makes that capability feel effortless to the labs and dentists who interact with it every day. The gap between a working AI model and a product customers love is exactly where this role lives. Why EviSmart 300 people. Two hubs: Vancouver HQ and Manila operations. 145% year-over-year SaaS growth - the market is responding. 28 countries. One platform. The dental industry's Autopilot. An in-house AI model research and development team building proprietary intelligence. Why This Role, Right Now EviSmart's AI design capability represents the majority of company revenue and the core of its margin expansion strategy. The ML team is building models that automate crown design and learn each dentist's clinical preferences over time. What's missing is the product leader who translates that capability into something customers understand, adopt, and advocate for. At the same time, the unified dashboard platform is coming online - and the end-to-end experience from platform entry to AI-powered output needs a single product mind running across both. The competitive window is real. The AI is ready. The product leader who defines what customers experience is the missing piece. A Note from the Team "We're not looking for someone who writes tickets based on what engineers tell them is possible. We need someone who spends time with labs and dentists, understands the workflow deeply enough to make real product tradeoffs, and can earn credibility with an ML team by knowing what they're actually building. If you've been the person who brings customer clarity and commercial rigor to an AI product - and made both the research team and the business better for it - that's the conversation we want to have." - Paolo Kalaw, CEO, EviSmart

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