Full-Time

Technical Solutions Engineer

Partly

Partly

51-200 employees

Automotive parts data platform enabling marketplace

No salary listed

London, UK

In Person

Relocation costs available; quarterly travel to onboarding/offsites with the nearest UK/EU office.

Category
Sales & Solution Engineering
Required Skills
Microsoft Azure
Python
SQL
AWS
REST APIs
Google Cloud Platform
Requirements
  • Proficiency in SQL and Python, with working knowledge of APIs, cloud platforms (Amazon Web Services, Google Cloud Platform, or Microsoft Azure), and data workflows
  • Experience designing or deploying AI-powered products, including evaluation metrics and integration patterns
  • Ability to explain technical concepts clearly to both engineers and non-technical stakeholders, and to know which mode you're in
  • A hands-on builder mentality: comfortable prototyping quickly and finding pragmatic solutions under ambiguity
  • Genuine customer obsession β€” you measure your success by theirs
Responsibilities
  • Work with enterprise automotive customers to understand their data and business goals, then apply Partly's AI platform to solve their most complex challenges
  • Partner with Account Executives on evaluations and pilots β€” defining success metrics, leading technical conversations, and delivering outcomes customers talk about
  • Build and demo solutions for real customer use cases that make the platform's value impossible to ignore
  • Become the technical authority customers trust β€” providing clear architecture and integration guidance to engineering and data teams
  • Feed insights back to Product and Engineering, turning what you learn in the field into roadmap influence
  • Identify emerging patterns across customers and codify them into repeatable playbooks for the next deal
Desired Qualifications
  • Bonus: experience in automotive parts, supply chain, or manufacturing

Partly connects buyers and sellers of automotive parts through a B2B platform that serves as an online marketplace. It builds a global data infrastructure for the automotive parts industry, enabling manufacturers and retailers to organize, manage, and distribute parts data. The company uses data science and algorithms to process and standardize parts information from multiple sources, making it easier to find the right parts. Its platform treats data as the backbone of the ecosystem, supporting parts catalogs, data management, and supply chain transparency. Partly operates in New Zealand, Australia, and Europe with a global team and has attracted significant investor funding, helping it grow into a fast-growing startup in its region. The goal is to simplify the process of locating and acquiring automotive parts by improving data quality, interoperability, and connectivity across the parts ecosystem.

Company Size

51-200

Company Stage

Series B

Total Funding

$118M

Headquarters

Christchurch, New Zealand

Founded

2020

Your Connections

People at Partly who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • The $1.9 trillion auto-parts market remains fragmented and offline-heavy.
  • Enterprise trust and global traction support deeper OEM and marketplace integrations.
  • AI-driven fitment tools can reduce mismatches and improve conversion rates.

What critics are saying

  • Large ERP vendors can bundle similar normalization features into existing contracts.
  • OEMs and distributors can adopt closed standards, weakening network effects.
  • Long enterprise sales cycles delay revenue conversion and slow geographic expansion.

What makes Partly unique

  • Partly standardizes auto-parts data with a common protocol across the supply chain.
  • Its platform combines AI matching, fitment management, and inventory infrastructure.
  • Founded in 2020 by Levi Fawcett, an ex-Rocket Lab engineer.

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Benefits

Flexible Working Hours

Parental Leave

CycleSaver

Quarterly season openers across the UK and EU

Annual global offsite in New Zealand

Payroll Giving

Growth & Insights and Company News

Headcount

6 month growth

↑ 0%

1 year growth

↑ 0%

2 year growth

↓ -1%
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