Senior Product Manager – Parts Data
Read straight from Partao's careers page, verified 1d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
Salary€2k/mo
LocationSouth Africa, India, Armenia, South Africa - Remote
Work moderemote
Typefull-time
SenioritySenior
Experience4+ yrs
DepartmentProduct
Company size5+ people
PostedAug 31, 2025 · 1y ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Aug 31, 202580% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
4+ years in product management, ideally in a data-heavy domain
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
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
Skills
AI
ML
API
LLMs
embeddings
vector search
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, 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
What You Bring
•
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)
Why Join Us?
•
Shape the data backbone of a fast-scaling B2B platform
•
Work with real-world data that matters to customers every day
•
Join a small, sharp, and globally distributed team
•
Own critical decisions and make an impact from Day 1
What We Offer
•
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