polopan is building consumer ai where taste, context, and judgment matter more than raw scale.
our models are only as good as the truthfulness of the data beneath them.
this role exists to make sure our catalog and product data pipelines are:
• clean
• explainable
• trustworthy
• hard to lie to
we care less about how fast things move, and more about whether they ever need to be questioned again.
what you’ll be responsible for
• building catalog data pipelines
• design and maintain pipelines that ingest, normalize, enrich, and version product/catalog data
• define schemas that age well as the product evolves
• handle messy, incomplete, and inconsistent data without hiding the mess
• make catalog data usable for downstream systems (search, recommendations, personalization)
• owning data clarity end-to-end
• decide what should be logged and what should not
• ensure every dataset has a clear purpose and owner
• detect and debug silent failures, drift, and data pollution
• make pipelines observable, debuggable, and boring in the best way
• making decisions irreversible
• build systems that allow the team to confidently:
• trust metrics
• kill features
• iterate without second-guessing the data
• reduce ambiguity for product and machine learning decisions, not add to it
• setting engineering standards early
• establish patterns for data hygiene, versioning, and validation
• write documentation that explains why something exists, not just how
• push back on over-engineering and under-thinking equally
What We Care About (more Than Speed)
we don’t measure this role by:
• number of tickets closed
• lines of code written
• how quick you ship
We Measure It By:
• how much confusion disappears after your work exists
• how rarely your systems need revisiting
• how confidently others can build on top of wh
📌 founding data pipeline engineer (Gurugram)
🏢 polopan
📍 Gurugram
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.