Senior Product Designer

GPTZero; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

GPTZero seeks a Senior Product Designer who is passionate about AI transparency and understanding human needs in this AI world. You will design cutting-edge AI products and translate complex systems into clear user experiences.

You'll own end-to-end design with a strong portfolio, working across product, ML research, engineering, and business teams. Hybrid work supports teams in Toronto and NYC as the company scales.

Qualifications

• 5+ years of experience owning product design end-to-end.
• Strong portfolio demonstrating user-centered design work from research to polished interfaces.
• Ability to translate complex or technical systems into clear, intuitive experiences.
• Experience at an early-stage or fast-scaling startup.
• Strong interest in AI-powered products; design of AI systems is a plus.

Responsibilities

• Design consumer-facing experiences for new and existing features, from concept to high-fidelity mockups and shipped interfaces.
• Collaborate with ML research, engineering and business teams to deliver high-quality experiences quickly.
• Help shape how design operates at GPTZero as the product and team scale.
• Own the end-to-end design process, advocate for user needs, and iterate based on feedback.

Skills

User research

End-to-end design

User-centered design

Job description

• Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute
• 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
• 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

Benefits

• Health, dental, and mental health benefits
• Hybrid work in Toronto and NYC offices
• Mentorship opportunities with our world-class advisors and investors
• Flexible PTO
• Wellness and learning stipend
• Regular company retreats
• Equity

We’re seeking a talented Senior Product Designer who’s passionate about AI transparency, understanding human needs in this AI world, and creating cutting-edge AI products

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

Experience working at an early-stage or fast-scaling startup

Strong interest in AI-powered products. Experience designing AI systems is a plus

5+ years of experience owning product design end-to-end

High ownership mentality. You move quickly, make decisions with imperfect information, and iterate based on real user feedback