About GPTZero 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 Uber, Meta, Perplexity, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, MILA, and Vector.

What We're Looking For As a staff product engineer, you’ll build and ship responsible AI-powered products to millions of users, both as a player and a coach. You'll help expand our AI-detection and verification platform and create new products. You'll help define an incredible engineering culture annd partner closely with our ML and design teams to create delightful user experiences.

What You'll Contribute

• Ship intuitive, industry-defining, AI-powered products to our millions of users
• Own your work end-to-end while leading an elite engineering team
• Operate throughout the product lifecycle, from user discovery, analytics, triage, and experimentation
• Collaborate on defining the product roadmap with our ML, design, and business teams
• Design robust software and a robust engineering organization in partnership with the CTO

Qualifications

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, 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
• Nazar (ML), employee #2 and head of ML at the profitable a16z-backed generative media company Reface, taking them to 250M+ downloads and 200+ headcount
• Jonathan (Strategy & Operations), former Director of Product at YipitData, led and scaled corporate business arm from 250K to 20M+ ARR, and from Series B to Series E

Together, we are committed to making a permanent impact on the future of the internet, and on humanity.

Our Perks

  
  
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Compensation Range: $210K - $250K