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Senior Product Manager - Build Auto Review

Job in Fredericton, New Brunswick, A3A, Canada
Listing for: CoLab Software
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Product Engineer, Product Designer, AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 CAD Yearly CAD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Senior Product Manager - Build Auto Review

North America, Remote

About Co Lab

At CoLab, we help mechanical engineering teams bring life-changing products to market years sooner.

CoLab is the AI platform for driving stronger engineering decisions. Every design review in CoLab builds a knowledge repository of design feedback, decisions, and lessons learned – which AI agents draw from to flag issues on future designs before they compound. The more your team works in CoLab, the smarter it gets and the faster you arrive at the ideal design.

Companies like Ford, Komatsu, and Johnson Controls use CoLab to catch issues earlier, eliminate rework cycles, and bring products to market faster.

Founded in St. John's, Newfoundland, CoLab has grown quickly from our first customer in 2019 to a rapidly scaling company. We have recently been recognized on Deloitte’s Fast 50 and Fast 500, and named a Canadian company to watch by The Globe and Mail and Financial Post.

About the Role

We're hiring a Senior Product Manager to lead one of the most ambitious bets at CoLab: building AI-powered review systems that help engineering teams identify issues before they become expensive downstream problems.

This team owns Auto Review — the capabilities that proactively surface risks, patterns, missing context, and engineering concerns across complex design workflows. The goal isn't to replace engineers. It's to help them make better decisions, faster, using the collective knowledge generated across every review inside CoLab.

This is a difficult product problem.

You'll be operating at the intersection of AI, engineering workflows, enterprise trust, and product usability. The hard part isn't simply building AI features – it's building products that technical teams actually trust enough to use in high-stakes environments.

You'll work closely with Engineering, Design, ML/AI teams, and customers to determine how to create tools that deliver real customer value. Some weeks you'll be deep in workflow discovery with customers. Other weeks you'll be making prioritization calls across model capabilities, UX tradeoffs, and platform constraints.

This role requires strong product judgment. There's no playbook for this category yet.

You won't thrive here if you're looking for highly predictable roadmaps, lightweight consumer problems, or environments where Product simply coordinates delivery. We need someone who can bring structure to ambiguity, challenge assumptions, and help the team make hard decisions quickly.

The average person might think this role sounds overwhelming. If it sounds energizing, you'll probably fit right in.

Our Ideal Candidate

You're deeply curious about how complex systems work – both technical systems and human ones.

You know how to navigate ambiguity without creating chaos. You can hold a strong product perspective while staying highly collaborative with technical teams. You ask thoughtful questions, seek signals quickly, and care deeply about whether customers genuinely trust and adopt what you build.

You likely have experience building technical B2B SaaS products, especially products involving AI-assisted workflows, automation, recommendations, or decision support systems.

You probably won't enjoy this role if:

  • You need fully defined requirements before moving work forward
  • You treat AI as a branding exercise instead of a product problem
  • You avoid technical complexity
  • You optimize for shipping volume, customer trust and product quality
Job Responsibilities
  • Own product strategy and execution for CoLab's Auto Review capabilities
  • Partner closely with AI/ML teams, Engineering, and Design to define and ship intelligent workflow experiences
  • Identify high‑value opportunities for automation and AI‑assisted decision making within engineering reviews
  • Conduct deep customer research to understand workflow pain points, trust barriers, and adoption patterns
  • Define product requirements and make prioritization trade‑offs across UX, technical feasibility, and business impact
  • Use qualitative and quantitative data to evaluate product effectiveness and customer outcomes
  • Collaborate cross‑functionally with GTM teams to support launches, positioning, and…
Position Requirements
10+ Years work experience
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