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 building the infrastructure for anyone to repair anything. We believe everything built should be repairable, and we're building frontier AI to put repair knowledge to work, starting with the $2tn automotive market.

Our model, Interpreter, is the first AI purpose-built to understand repair. Trained on 1M+ car models and 1B+ parts, it reads a repair job the way an estimator does, resolves damage into the exact purchasable part, and shows its reasoning with a confidence score. On real production jobs, an estimator working with Interpreter reaches 98.8% parts-list accuracy, against 92.1% with today's tools. It powers PartlyRepair, used by collision shops, workshops and suppliers to take the admin off the job; PartlyLabs, the agentic infrastructure enterprises use to deploy Interpreter across their own workflows; and a developer API.

Founded by ex-Rocket Lab engineers, we've raised a $50m Series B led by DST Global (Anthropic, Airbnb, Meta, TikTok, Spotify), with Blackbird Ventures, WNDR, Activant Capital, Icehouse Ventures, Square Peg, Airtree and Ecliptic Venture Capital. Hear it from the team: Why Partly exists and AI at Partly.

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

• Become an expert at understanding, interpreting, and standardising automotive manufacturer parts catalog information.

• Identify and correct errors, inconsistencies, and inaccuracies in vehicle and parts data, collaborating with cross-functional teams to ensure data quality and integrity.

• Conduct thorough data validation and verification processes to ensure compliance with established standards, resolving any discrepancies or issues promptly.

• Collaborate with engineering and development teams to define and implement data quality assurance procedures and workflows, incorporating feedback from internal and external sources.

• Continuously monitor and evaluate the effectiveness of data management processes, recommending and implementing improvements to enhance efficiency, accuracy, and scalability.

• 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

• Strong knowledge of automotive systems, components, and specifications, with a focus on auto parts data research and management.

• Proven experience in a similar role within the automotive industry, with a track record of successfully managing parts data and ensuring data quality.

• Attention to detail and a systematic approach to data research and validation, ensuring accuracy and completeness.

• Strong problem-solving and analytical skills, with the ability to identify data inconsistencies, diagnose root causes, and propose effective solutions.

• Excellent communication and collaboration skills, enabling effective engagement with cross-functional teams and external stakeholders.

• Ability to prioritise tasks, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment.

• A passion for data accuracy, integrity, and continuous improvement, with a commitment to maintaining high standards of parts data quality.

Please note: if you don't have all the skills or experience listed above but believe you could be outstanding in this role, please still consider applying. Many people count themselves out. We'd love the chance to learn more about you and why you're exceptional.

Benefits

• Healthy, Catered Lunches - Enjoy fresh, healthy lunches every workday in our Auckland, Christchurch, London, and Austin offices. With no meal prep needed, you can eat, connect, and refuel with your team. (And yes, snacks and drinks are always on hand.)

• Healthy Body, Healthy Mind - We care about performing at our peak. Every team member gets a $1,500 annual wellness allowance (or local equivalent) on a Partly-branded card. Use it on things such as gym memberships, rock climbing, physical therapy, massage, doctor visits, prescriptions-anything that you or your family need!

• Family Comes First - Primary caregivers receive 3 months of fully paid parental leave, plus a flexible return-to-work plan (four days a week at full pay for your first three months back).

• Getting Here Is On Us - If you commute to a Partly office or coworking space, choose from a paid 24/7 parking spot or a commuting allowance. One less thing to think about!

• Workspaces That Inspire - Our brand-new, architecturally designed offices are built for collaboration and creativity, with great coffee, social spaces, and some of the best cafes just a few steps away.

• Office-First with Flexibility - In cities where we have an office (Christchurch, Auckland, London, and San Francisco), we default to working from the office every day. This lets us move faster, make better decisions, and build strong relationships. We also operate with a high-trust environment, so you can manage your time around your life and flex your schedule to do your best work.

• We Celebrate Together - From weekly happy hours and monthly lunches to quarterly season openers and an annual global offsite, we make time to connect, celebrate, and have fun as one team.