On-site | Vancouver Office – 675 W Hastings St.
Our MissionOur mission is to amplify human success with AI automation.
In a dental lab, that means technicians spend less time on repetitive casework and more on the complex cases that need real skill, and labs take on volume they used to turn away. We automate the parts of the job nobody wants. We don’t pretend that’s the whole job.
Our vision is to become the operating system of the dental industry. Not a tool a lab logs into. The system a lab runs on.
The Problem We’re SolvingEviSmart has built AI that automates the core of dental lab work. The unsolved problem is product: taking that capability and shaping it, from the lab’s 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.
28 countries. One platform. The dental industry’s Autopilot.
An in-house AI model research and development team building proprietary intelligence.
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.”
What You’ll Own
Own the strategy and roadmap across the breadth of EviSmart’s AI portfolio.
Define the product itself
: the problem it solves, the core workflows it owns, and the moments the AI has to earn a user’s 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 the commercial case, not just the build.
Before anything ships: who pays, what the problem costs them, and what the value is worth in their terms. After it ships: whether they actually paid. You won’t set the price, but you’ll own the argument for what we’re charging for, what’s bundled, and what’s worth paying more for. A product nobody pays for isn’t a product.
Drive user validation
continuously: conduct interviews, observe workflows, and build a user insight library the entire squad references for every product decision.
Own the record of how decisions got made
— the problem statement, the acceptance criteria, and what was decided and why. We have two offices and memory is lossy. What you write outlives the conversation.
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.
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 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 WorkWe 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 You’re 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 hasn’t been reimagined in decades. Dental fits all three. You’re not managing a feature on a roadmap that fifty other PMs are also working on at adjacent companies. You’re 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
You find the real problem that matters most.
When a customer says “it’s too slow,” you work out what they’re actually losing before you scope anything. You ask what they do when the thing goes wrong, and you put a cost on it. You challenge the premise rather than executing the request — and y

📌 Senior Product Manager (Winnipeg)
🏢 EviSmart
📍 Winnipeg