Senior Product Manager – Parts Data

South AfricaRemotefull-timesenior

Product ManagementSenior Product Manager

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Overview

About the Role We're looking for a Product Manager with a deep understanding of data architecture, a sharp technical mind, and a passion for leveraging AI to structure, standardize,

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Product ManagementSenior Product Manager

About the Role

~1 min read

We're looking for a Product Manager with a deep understanding of data architecture, a sharp technical mind, and a passion for leveraging AI to structure, standardize, and surface complex information. This role sits at the heart of our data platform and will shape how the heavy machinery-parts world connects.

This is a fully remote role open to candidates globally. Strong English proficiency is essential, and the role pays approximately €1800 - €2400 per month depending on experience.

Responsibilities

~1 min read

Design flexible, scalable data schemas to represent agricultural parts, equipment, and compatibility (fitment) relationships
Work closely with data engineers to refine taxonomies and part hierarchies
Ensure models support both human usability and AI-readability

Design rule-based and ML-enhanced systems for cleaning and standardizing messy supplier and OEM data
Prioritize approaches that improve matching accuracy and part deduplication
Define KPIs and test frameworks to measure normalization effectiveness

Partner with ML engineers to identify where AI can improve categorization, entity extraction, and compatibility inference
Guide AI product strategy—from training dataset definition to UX for AI-powered features
Stay current with generative and traditional AI techniques relevant to structured data

Specify APIs and internal tooling interfaces to power product search, part selection, and fitment validation workflows
Collaborate with frontend and backend teams to ensure seamless integration and performance
Champion developer experience and documentation standards

4+ years in product management, ideally in a data-heavy domain (e.g., eCommerce, B2B marketplaces, catalog platforms, or supply chain tech)
Experience working on schema definition, data pipelines, or data platforms
Proven ability to partner cross-functionally with engineers, data scientists, and operations teams
Familiarity with data normalization, entity resolution, or catalog management problems
Understanding of how to evaluate and integrate AI/ML systems into product workflows
A builder’s mindset: willing to dive deep, write specs, draw schemas, and iterate quickly
Excellent written communication and a high bar for clarity and detail
University degree, ideally in a science, technical or business domain

Nice to Have

~1 min read

Experience with agricultural equipment, industrial parts, or automotive catalogs
Exposure to LLMs, embeddings, or vector search applied to structured data
Prior work in remote-first or distributed teams
Proficiency in at least one additional European language (e.g., German, French, Spanish, Italian, Polish)