Sr. Product Manager

What We're Looking ForStrong product judgment with 3-5 years of experience owning B2C/prosumer products end to endComfort 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 implicationsStrong collaboration skills with designers, engineers, and researchers to drive alignment and execution.High ownership mindset with a bias toward action, learning, and iterationBonus:Experience as an early or first PM at a startupExperience working closely with ML or research teamsWhat You'll DoOwn discovery by identifying and validating user problems through research, data analysis, and direct user engagementDefine product requirements and success metrics in close partnership with design and engineering teamsMake product decisions in areas with uncertainty, incomplete data, and evolving model behaviorDrive execution from concept to launch and iterate based on user feedbackWho You'll Be JoiningWe'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 PrincetonAlex (CTO), Ph.D. dropout, R&D at Uber self-driving division and Facebook, 3 patents in ML, 2021 and 2019 Best ML Hack at StanfordHriday (Head of Growth), expert on taking products viral. Founded Wildfire, raised $3M, scaled it to 1M users and exited to Opendoor. Most recently, he worked on growth at Perplexity.Jacob (Sr. Founding Eng), top of class at Waterloo, ex-Affirm, Lime, Level and ZyngaAt GPTZero, our recruiting team is involved in every step of the hiring process. We use AI-based tools (such as Endorsed.ai and Juicebox.ai) 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.