The AI is proven. Now build the product that turns capability into a category.

The Problem Were Solving

EviSmart has built AI that automates the core of dental lab work. The unsolved problem is product: taking that capability and shaping it, from the labs real needs outward, into something labs adopt, rely on, and build their operations around.

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 industrys Autopilot.
• An in-house AI model research and development team building proprietary intelligence.

A Note from the Team

"Were 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 theyre actually building. If youve 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 — thats the conversation we want to have."

What You’ll Own

• Own the strategy and roadmap across the breadth of EviSmarts AI portfolio.
• Define the product itself: the problem it solves, the core workflows it owns, and the moments the AI has to earn a users trust.
• 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 EviSmarts differentiation is real, where its 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.
• Direct customer access across 2,000+ labs — the feedback loop is fast, the stakes are real, and user research here isnt a quarterly exercise.
• A category-defining problem in a $40B industry where the incumbent software hasnt 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

We ship before we’re 100% certain. We write things down because we have two offices and memory is lossy. We debate loudly and move without resentment.



We treat the customer’s real problem as more significant than an elegant internal process. If you’ve spent time waiting for permission to try something obvious — you’ll notice the difference here immediately.

The Question Youre Probably Asking

"Dental sounds niche. Is this really a space where a strong AI product background translates? The strongest AI PMs work in verticals where the problem is hard, the data is rich, and the workflow hasnt been reimagined in decades. Dental fits all three. Youre not managing a feature on a roadmap that fifty other PMs are also working on at adjacent companies. Youre defining what it looks like when AI genuinely automates a complex process — with a real ML team, real customer data, and a product that directly impacts margin for every lab that uses it."

— EviSmart Talent Team

What We Need

• 6–8 years product management experience spanning both AI or ML-powered products and frontend-driven SaaS platforms — youve shipped in both contexts, not just one.

You have product taste and judgment — you can look at a product and see whats done well and what needs to improve without needing all the context first, and you define what "good" looks like before building.

Youve turned an AI capability into a commercial outcome and you can walk through the decisions that got it there.

Your product instincts come from direct customer contact — interviews, workflow observation, not feedback reports. You start from the labs real problem, see the problem underneath the symptom, and never start from a solution hunting for data to justify it.

You own outcomes, not activity and you make the hard tradeoffs.

SaaS or B2B platform experience preferred; dental or healthcare background not required.