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Partly

Automotive parts data platform enabling marketplace

Product Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • A track record of taking features from idea to production, including writing code, with roughly 3+ years building and shipping software in production.
  • A genuine habit of spending time with users in their work context, with examples of that understanding influencing what is built.
  • Product judgment and craft for creating effortless experiences for time-pressured, non-technical users across fragmented, high-stakes workflows.
  • A point of view on agentic product design, including moving experiences from manual operation to supervised delegation and gradually earning user trust.
  • Ability to build rapid prototypes independently, using AI-assisted tools as a first choice for testing ideas.
  • Solid full-stack engineering skills with a frontend lean, including production-quality code and sound fundamentals.
  • Ability to weigh product impact against engineering effort and find lower-cost paths to outcomes.
  • Strong analytical skills to define metrics, build analytical views, interpret results, and act without waiting for a data team.
  • Ability to work autonomously in ambiguity and shape problems without waiting for a specification.

Responsibilities

  • Build and prototype product iterations using AI-assisted and LLM-assisted tools, put prototypes in front of customers before writing specifications, ship production code, instrument it, and observe actual usage.
  • Spend time with customers in their work context to understand their tasks, sources of lost time, and opportunities for improvement.
  • Combine customer observations with data, reconcile discrepancies, and use the findings to determine what to build next.
  • Own the product surface's outcomes and metrics, including adoption and value delivered; prioritize work, explain decisions, diagnose problems, and fix them.
  • Balance product impact against engineering effort and identify more efficient ways to achieve outcomes.
  • Develop agentic experiences that capture user intent, determine where human oversight is needed, and build trust through supervised delegation.
  • Ensure the product surface is fast, clear, and well-crafted, and address quality issues even when the software technically works.
  • Pair with software engineers on 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 with a human remaining 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 having killed or substantially changed a product or idea the candidate personally believed in, and being able 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 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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