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Join to apply for the Auto Parts Data Specialist role at Partly - Digital Parts Infrastructure
Join to apply for the Auto Parts Data Specialist role at Partly - Digital Parts Infrastructure
Note: Partly is headquartered in the UK, with a Product and Engineering base in Christchurch, and an early presence in San Francisco. If you are not based in Christchurch, we will fly you to meet the PH team members in the Philippines per quarter for our “Season Openers” (we pay for your travel and accommodation).
Our story
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 cutting-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.
️ This role
As an Auto Parts Data Specialist at Partly, you will play a crucial role in ensuring the accuracy and integrity of vehicle data across our organisation. Your primary responsibility will be to conduct comprehensive research, manage our automotive parts data standard, and correct any errors or inconsistencies. This role reports to the Data Quality Lead and offers an exciting opportunity to contribute to maintaining the highest standards of automotive data quality in a fast-paced and evolving industry.
What Will You Do
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