Product Manager, AI Products

Evismart • Vancouver, BC

3h • Onsite

About The Position

EviSmart has developed AI that automates the core of dental lab work. The company is seeking a Product Manager to take this capability and shape it into a product that labs will adopt, rely on, and build their operations around. This role involves understanding the real needs of the lab, making product tradeoffs, and earning credibility with the ML team. The ideal candidate will bring customer clarity and commercial rigor to an AI product, improving both the research team and the business.

Requirements

• 6–8 years product management experience spanning both AI or ML-powered products and frontend-driven SaaS platforms — you've shipped in both contexts, not just one.
• Product taste and judgment — you can look at a product and see what's done well and what needs to improve without needing all the context first, and you define what "good" looks like before building.
• Experience turning an AI capability into a commercial outcome and can walk through the decisions that got it there.
• Product instincts come from direct customer contact — interviews, workflow observation, not feedback reports. You start from the lab's real problem, see the problem underneath the symptom, and never start from a solution hunting for data to justify it.
• Own outcomes, not activity and make the hard tradeoffs.
• SaaS or B2B platform experience preferred.

Nice To Haves

• Dental or healthcare background not required.

Responsibilities

• 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 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed