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Partly

Automotive parts data platform enabling marketplace

Product Engineer - Workshop

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeChristchurch, New Zealand

About the Job

Requirements

  • A track record of taking features from idea to production, including writing code and being accountable for outcomes, with roughly 3+ years building and shipping production software.
  • A demonstrated habit of spending time with users in their work context and using that understanding to shape what is built.
  • Product judgment and craft in creating effortless experiences for time-pressured, non-technical users across fragmented, high-stakes workflows.
  • A point of view on agentic product design, including moving from manual operation to supervised delegation and earning user trust gradually.
  • Ability to build rapid prototypes independently, using AI-assisted tools as a first instinct for testing ideas.
  • Solid full-stack engineering skills with a frontend lean, production-quality coding, and sound fundamentals; systems-specialist depth is not required.
  • Ability to weigh product impact against engineering effort and identify lower-cost routes to results.
  • Analytical ability to define and build metrics views, interpret the data, and act on findings without waiting for a data team.
  • Ability to operate with ambiguity and autonomy and shape problems without waiting for a specification.

Responsibilities

  • Build product iterations by prototyping with AI-assisted and large language model-assisted tools, putting prototypes in front of customers before writing specifications, shipping production code, instrumenting it, and observing usage.
  • Spend time with customers in their work settings to understand the tasks, sources of wasted time, and what improvements would mean to them as a regular weekly activity.
  • Combine customer observations with data, reconcile conflicting signals, and use the resulting understanding to guide what to build next.
  • Own the product surface’s outcomes and metrics, including adoption and value delivered; prioritize work, explain decisions, diagnose issues, and fix them.
  • Balance product impact against engineering effort and identify efficient ways to achieve the desired outcome.
  • Move the product surface from manual operation toward supervised delegation by capturing user intent, determining where human oversight is needed, and building trust incrementally.
  • Maintain a high standard of product craft so the surface feels fast, clear, and considered, and challenge designs that do not feel right even when they function technically.
  • Pair with software engineers on more complex systems work and contribute to shared components, product craft, and team building practices.

Desired Qualifications

  • Experience shipping AI-assisted or agent-driven features in production, particularly where humans remain in the loop.
  • Experience building multi-persona, operational, or workflow-heavy business-to-business products.
  • Founder experience or experience as an early employee at a startup that scaled materially.
  • Experience abandoning or substantially changing a product or idea one personally believed in, with the ability to explain why.
  • Knowledge of automotive, the parts aftermarket, repair, or insurance claims.
  • Marketplace or network experience on the demand or supply side.
  • Rust experience or genuine eagerness to learn Rust.

About the Company

Partly

Automotive parts data platform enabling marketplace

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
$86.3M
Headquarters
Christchurch, New Zealand
Founded
2020

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