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.
We’re seeking a talented Product Designer who’s passionate about AI transparency, understanding human needs in this AI world, and creating cutting-edge AI products. You’ll collaborate closely with ML research, engineering and business teams to create a more-human internet. Join the team that’s restoring trust and transparency.
Conduct user research across our diverse users and customers, including students, educators, journalists, content creators, and more
Design consumer-facing experiences for new and existing features, from early concepts and user flows to high-fidelity mockups and shipped product
Partner closely with engineers to scope, iterate, and deliver high-quality experiences quickly
Help shape how design operates at GPTZero as the product and team scale
2+ years of experience owning product design end-to-end.
A strong portfolio demonstrating end-to-end, user-centered design work, from research and problem framing to iteration and polished, production-ready interfaces.
Proven ability to translate complex or technical systems into clear, intuitive user experiences.
High ownership mentality. You move quickly, make decisions with imperfect information, and iterate based on real user feedback.
Strong interest in AI-powered products. Experience designing AI systems is a plus.
Experience working at an early-stage or fast-scaling startup.
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
Ei Thazin (product designer), with experience at several high-growth B2C startups. She graduated from Stanford and instructed at the renown [d.school] at Stanford.
Olivia (product designer). She’s also an artist, with her work previously shown in the Metropolitan Museum of Art in New York and graduated from Princeton.
🏥 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.
At 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.
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