Partly's mission is to connect the world's parts and we're doing that by building the first global platform for replacement parts, starting with auto parts. Our big vision is to accelerate the world towards a sustainable future where waste is eliminated and all replacement parts are universally searchable, accessible and available to all. Founded by ex-Rocket Lab engineers, we utilise bleeding-edge technology to solve challenging but exciting problems that make a huge impact in a $1.9 trillion industry. We've more than tripled our team over the last 12 months and expect to double in size again over the coming 12 months. We're a global team spanning both Europe and Australasia. We provide a scalable digital infrastructure solution to some of the world's largest businesses and the most exciting startups. Partly's solutions are integrated across hundreds of companies globally, providing the backbone for cataloguing and managing parts online. Our investors in Blackbird Ventures (Canva, CultureAmp etc.), Square Peg, Octopus Ventures, Icehouse, Peter Beck (Rocket Lab), Akshay Kothari (Notion Co-Founder) and Dylan Field (Figma Co-Founder). We're continuing to build a world-class team and ensuring Partly is a place where people can do the best work of their lives. We're proud of the culture we've built at Partly, and our values are lived throughout every experience. The opportunity Repairers train for years to be on the tools, then spend half their day on quotes, paperwork and finding parts. Partly's product aims to automate the admin so repairers can focus on their craft. The products we've launched this year start with a conversation, and behind it a system generates the interface the moment needs. So we no longer design a set of pages. We design components, and then we design the brain the AI uses to assemble them. Very few designers have done this yet. That's the opportunity: to work out what product design becomes at an AI company, in a domain where a wrong answer is a $1,000 part that can't be returned. The problems are real and unsolved. How does someone who's never used a chat interface know what to ask when they land on an empty box between phone calls? How does a task you do forty times a day become one tap, not one more sentence to type, with the same result every time? How much of the agent's reasoning do you show before trust turns into a wall of text? Where should the interface be opinionated, and where should it be generated? We don't have the answers yet. You'll own finding Partly's.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed