Senior Product Manager - Parts Data

Role Description

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.

What You’ll Do

• Define Data Models
  • 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
• Drive Data Normalization Algorithms
  • 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
• Leverage AI and Automation
  • 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
• Define Interfaces
  • 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

Qualifications

• 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

Bonus Points

• 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)

Benefits

• Opportunity to be a thought leader with a wide span of control in a fast-growing startup with experienced mentors
• A challenging and rewarding environment where you can directly impact the future of the company and the industry