Senior Product Manager

On-site | Vancouver Office – 675 W Hastings St.

Our Mission

Our 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.

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 Solving

A dental lab loses hours every week to a question that shouldn't need asking: where is that case? Orders arrive from a dozen different manufacturer portals, and chasing them down has always been somebody's job. The Command Center ends that. It gives a lab full visibility of every case — what arrived, what stage it's at, what's stuck and why — updating continuously, in one place. Your job is to build the next generation of it around the way a lab actually works.

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 operating system. An in‑house AI model research and development team building proprietary intelligence.

Why This Role Exists

A lab isn't one job. It's designers, technicians, quality control, case managers, shipping, the owner — each with a different week and a different definition of what matters today. Full visibility means something different to each of them. The next generation of Command Centers has to be built around how those roles actually work. No written definition exists yet of what the next version of the Command Center must contain, what's optional, or what disqualifies one from shipping. You write that definition, and you write it from inside dental labs. Then you hold it, while everything else gets built against it.

What You'll Own

• Define the product itself: what each Command Center must contain, what is optional, and what disqualifies one from shipping. Write the spec early and ship the first version.
• Own the moments the AI has to earn a user's trust.
• Instrument every feature before it ships— adoption funnels, cohort analysis, usage patterns. Baselines captured before launch, not after.
• Own the commercial case, not just the build.
• 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.
• Lead and manage a team of product managers and engineers.

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.
• 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 important than an elegant internal process.

What We're Looking For

• 8+ years in product, in B2B SaaS — workflow, automation, or platform.
• You have been accountable for whether code ships.
• You were an engineer before you were a PM, or you've had engineers report to you, or you still write code as part of your job.
• You've shipped an AI or ML product to production and can describe the mechanics.
• You've owned a product surface end to end, discovery through ship, with a named outcome.
• You've measured whether people kept using what you built— retention, weekly actives, adoption by user type.
• You've done customer discovery in person, in the place the work happens.