Auto Parts Data Specialist, PH
Note: Partly is headquartered in Austin, TX with offices in London, UK, Christchurch, NZ and Auckland, NZ. Wherever you're based, we'll connect you with your nearest office for onboarding, and fly you to join the full team for our quarterly "Season Openers" (we cover travel and accommodation). If you're relocating to join us, we can also assist with relocation costs.
🚀 Our story
Partly is connecting the world's parts, and we're doing that by building the AI infrastructure layer for the global repair industry, starting with the $2tn automotive market. Our frontier model, Interpreter, is the world's first AI purpose-built to understand vehicle damage and the parts needed to fix it. Thousands of businesses across the global repair supply chain already rely on it.
Founded by ex-Rocket Lab engineers, we've tripled in size in the last 18 months and have recently raised a $50m Series B led by DST Global (Anthropic, Airbnb, Meta, TikTok, Spotify) and including Blackbird Ventures (Canva, CultureAmp etc.), WNDR, Activant Capital, Icehouse Ventures, Square Peg, Airtree, and Ecliptic Venture Capital. We're headquartered in Austin, with offices in New Zealand and London.
We're continuing to build a world-class team ensuring Partly is a place where people can do the best work of their lives. We're proud of the culture we've built, and our values are lived throughout every experience.
Want to learn more about the problems we're solving and the culture we're building at Partly ? Hear directly from our team here:
Note: This position is remote-based in the Philippines.
🖍️ 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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Become an expert at understanding, interpreting, and standardising automotive manufacturer parts catalog information.
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Identify and correct errors, inconsistencies, and inaccuracies in vehicle and parts data, collaborating with cross-functional teams to ensure data quality and integrity.
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Conduct thorough data validation and verification processes to ensure compliance with established standards, resolving any discrepancies or issues promptly.
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Collaborate with engineering and development teams to define and implement data quality assurance procedures and workflows, incorporating feedback from internal and external sources.
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Continuously monitor and evaluate the effectiveness of data management processes, recommending and implementing improvements to enhance efficiency, accuracy, and scalability.
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Work alongside other team members and stakeholders on data management best practices, ensuring a consistent understanding and application of data standards and quality control procedures.
🥷 Your skills
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Strong knowledge of automotive systems, components, and specifications, with a focus on auto parts data research and management.
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Proven experience in a similar role within the automotive industry, with a track record of successfully managing parts data and ensuring data quality.
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Attention to detail and a systematic approach to data research and validation, ensuring accuracy and completeness.
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Strong problem-solving and analytical skills, with the ability to identify data inconsistencies, diagnose root causes, and propose effective solutions.
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Excellent communication and collaboration skills, enabling effective engagement with cross-functional teams and external stakeholders.
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Ability to prioritise tasks, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment.
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A passion