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Portfolio Product Manager

Job in Toronto, Ontario, A3C, Canada
Listing for: Recognized
Full Time position
Listed on 2026-06-18
Job specializations:
  • Business
    Business Analyst, Product Specialist, Business Management & Consulting, Business Development
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Portfolio Product Manager  )

Key Responsibilities

  • Lead quarterly and annual planning sessions, helping teams set product visions and translate them into achievable goals.
  • Build and maintain product roadmaps that balance customer needs, business goals, and technical constraints.
  • Guide sprint planning and execution, improving team velocity and predictability over time.
  • Develop prioritization frameworks that help CEOs and teams make better product decisions.
  • Set up customer feedback systems that turn qualitative inputs into actionable roadmap decisions.
  • Help teams collect and analyze product usage data.
  • Review feature specifications for clarity, completeness, and strategic fit.
  • Coordinate feature launches across engineering, sales, marketing, and support teams.
  • Coach team members (developers, designers, early PMs) to think like product managers and improve their ability to write specs, talk to customers, and make prioritization trade‑offs.
  • Configure and optimize project management tools (Jira, Linear, Asana).
What We're Looking For
  • 4+ years of product management experience, ideally in B2B SaaS.
  • Solid product fundamentals: road mapping, sprint planning, spec writing, prioritization frameworks.
  • Strong customer discovery skills and ability to identify high‑impact opportunities.
  • Comfortable managing multiple projects and stakeholders simultaneously.
  • Strong communication skills and ability to influence founders and executives.
  • Entrepreneurial mindset and comfort with ambiguity.
  • Has the ability to thrive with a high level of autonomy and responsibility.

All hiring decisions are made by humans. We use AI to support efficiency and consistency in the hiring process.

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