Sr. Product Manager - Toronto
- Remote, Canada
Remote
$125,000 to $230,000 CAD / year · Full-time
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Job details
- Pay
- $125,000 to $230,000 CAD / year
- Job type
- Full-time
- Workplace
- Remote
- Experience
- Strong product judgment with 3-5 years of experience owning B2C/prosumer products end to end
- Posting language
- English
- Posted
Original job description
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.
More about this job
Responsibilities
You will own the product discovery process by identifying user problems through research and data analysis. Additionally, you will define product requirements and drive execution from concept to launch in collaboration with design and engineering teams.
Requirements
The role requires 3-5 years of experience owning B2C or prosumer products end-to-end. Candidates must possess a deep understanding of AI-powered products and the ability to work effectively in an unstructured startup environment.
Skills
- Product Management
- AI Detection
- B2C Product Strategy
- Prosumer Product Management
- Data Analysis
- User Research
- Product Discovery
- Cross-functional Collaboration
- Machine Learning
- Strategic Planning
- User Trust
- Execution
- Iteration
Benefits
- Equity
Visa sponsorship
Not detected in the job text
Hiring contact
Edward
Categories
- Technology
- Software
- Management & Leadership
- Data & Analytics
- Engineering
Keywords
- Product Management
- AI
- B2C
- Prosumer
- Machine Learning
- Data Analysis
- User Research
- Startup
- Product Discovery
- Product Strategy
- Transparency
- Trust
- Information Integrity
- Cross-functional Collaboration
- Product Lifecycle
- Model Limitations
- User Feedback
- Execution