Sr. Product Manager - Toronto

Posted One Month Ago
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Toronto, ON, CAN
Hybrid
125K-230K Annually
Senior level
Artificial Intelligence
The Role
First product manager for an AI-native company focused on AI-detection. Own discovery, validate user problems, define requirements and success metrics, make product decisions amid model uncertainty, and drive execution from concept to launch while iterating on user feedback. Collaborate closely with design, engineering, and research teams to build structure and product processes.
Summary Generated by Built In

GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity.


Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute.

What we’re looking for
  • Strong product judgment with 3-5 years of experience owning B2C/prosumer products end to end

  • Comfort working without established PM processes and building structure that meaningfully improves outcomes. You will be GPTZero’s first product manager.

  • Deep understanding of AI-powered products, including model limitations, tradeoffs, and user trust implications

  • Strong collaboration skills with designers, engineers, and researchers to drive alignment and execution.

  • High ownership mindset with a bias toward action, learning, and iteration

    Bonus

    • Experience as an early or first PM at a startup

    • Experience working closely with ML or research teams

What you’ll do
  • Own discovery by identifying and validating user problems through research, data analysis, and direct user engagement

  • Define product requirements and success metrics in close partnership with design and engineering teams

  • Make product decisions in areas with uncertainty, incomplete data, and evolving model behavior

  • Drive execution from concept to launch and iterate based on user feedback

Who you’ll be joining

We’re a small team. We value ownership, transparency, and listening to each other.

Everyone works and interacts with everyone. Everyone is free to attend meetings across product functions, whether it's diving into designs or dropping into our ML learning groups.

Here are some people you’ll work closely with. You’ll be meeting everyone.

  • Edward (CEO), data-powered investigative journalism at BBC and Bellingcat, threat intelligence at Microsoft, ML researcher at Princeton

  • Alex (CTO), Ph.D. dropout, R&D at Uber self-driving division and Facebook, 3 patents in ML, 2021 and 2019 Best ML Hack at Stanford

  • Jacob (Sr. Founding Eng), top of class at Waterloo, ex-Affirm, Lime, Level and Zynga

At GPTZero, our recruiting team is involved in every step of the hiring process. We use AI-based tools to help us to accelerate candidates at the resume review stage by marking when candidates met certain key criteria. These tools are never the final say in a hiring decision - humans are.

Skills Required

  • 3-5 years owning B2C/prosumer products end to end
  • Comfort working without established PM processes and building structure to improve outcomes
  • Deep understanding of AI-powered products, including model limitations, tradeoffs, and user trust implications
  • Strong collaboration skills with designers, engineers, and researchers to drive alignment and execution
  • High ownership mindset with a bias toward action, learning, and iteration
  • Experience as an early or first PM at a startup
  • Experience working closely with ML or research teams
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The Company
HQ: Princeton, NJ

What We Do

GPTZero is the world's leading AI-text identification platform. Our mission is to restore information quality and transparency on the internet. We give millions of users the ability to see the origin, reliability, and quality of information, and enable responsible adoption of AI.

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