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Founding Product Manager
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-08-02
Listing for:
Jobtailor
Full Time
position Listed on 2026-08-02
Job specializations:
-
Business
Product Manager, AI Business & Operations
Job Description & How to Apply Below
Responsibilities
- 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
- 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 - Bonus:
Experience working closely with ML or research teams
Demonstrates strong product judgment and ownership in managing B2C/prosumer products, with a focus on AI-powered solutions and user engagement. Capable of defining product requirements and success metrics while collaborating effectively with cross‑functional teams.
Highest‑signal resume keywords- B2C Product Management
- AI‑Powered Product Understanding
- User Engagement Research
- Collaboration with Designers and Engineers
- Startup Experience
- Product Requirements Definition
- Data Analysis
- User Feedback Iteration
- Success Metrics Development
- Execution from Concept to Launch
- Strong Product Judgment
- High Ownership Mindset
- Bias Toward Action
- Learning and Iteration
- User Trust Implications
- Model Limitations
- Product Management Processes
- Prosumer Products
- Machine Learning Collaboration
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