Product Engineer

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, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, Vector, and MILA.

What we're looking for

As a product engineer, you’ll build and ship responsible AI-powered products to millions of users. You'll help expand our AI-detection and verification platform and create new products. You'll build new features, UIs, and APIs, and partner closely with our ML and design teams to create delightful user experiences.

What you'll contribute

• Ship intuitive, industry-defining products
• Build secure and well-tested APIs, authentication, and payment flows on our Node.js and Python backend
• Improve our product-led conversion funnel using analytics, user discovery, and latest methods
• Collaborate on defining the product roadmap with our ML, design, and business teams
• Establish a deep understanding of our users by meeting with clients and power users from academia, marketing, publishing, and data labeling
• Design robust software with comprehensive test suites and monitoring
  
  

Qualifications

• Led a significant product building end-to-end experiences from backend to UI
• Experienced with modern JS web frameworks (React.js, Next.js, and Typescript)
• Experienced with databases (SQL, NoSQL, and text search)
• Highly motivated to make impact in a fast-moving workplace
• Wear multiple hats and be a leader as our team grows
• Bachelors degree in computer science or related field
• Canada/US work eligibility or visa
• Bonus:
• strong open-source portfolio
• experience working in an early-stage startup environment
  

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.

• 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

• 🏥 Health, dental, and vision coverage
• 💻 Hybrid work in Downtown Office with lunch
• 🚀 Competitive salary
• 🍰 Competitive equity for a founding team member
• We are a cash-flow positive/profitable company experiencing exponential growth in multiple industries. We are open to sharing our growth metrics with applicants.
• 🎉 Quarterly team retreats and offsites
• 🏝 Flexible PTO
• 💡Learning stipend, mentorship, and time with world-class advisors, including:
• Tom Glocer (former CEO of Reuters, who recently reviewed the beta and is advising our product team on launching hallucination detection)
• Russ Heddleston (CEO Docsend, our favorite GTM advisor who recently dropped into all-hands to share additional strategies for growing our self-serve GTM motion)
• Ruslan Salakhutdinov (former director of AI at Apple, and current VP of Research for LLama, who meets monthly with our team to advise on AI model development)
• Amy Saper (founding product marketer at Stripe, who offers time with our team on growth strategies)
• Jack Altman (CEO of Lattice, brother of Sam Altman) on building great product culture
• Mike Smith (COO Walmart.com, COO StitchFix) and Jeff Barrett CTO StitchFix, on scaling a great engineering team.
  

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Compensation Range: $140K - $210K