Description
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from general and regional investors, and is now valued at $6,5 billion.
Tabby Marketplace is where our users discover what to buy. The Content Quality & Personalisation team owns the data that makes the marketplace work:
a catalogue of 25M+ products from thousands of merchants, ingested through feeds and e-commerce plugins (Shopify, Salla, Zid, Amazon and more), then categorised, enriched, translated, moderated and published, largely by ML.
You will lead a cross-functional team of ML engineers, backend and frontend engineers, QA and a product analyst. The team runs the LLM-based enrichment pipeline (categorisation, attribute extraction, translation), the item representation model and embeddings that power search and recommendations, ML-assisted moderation that is replacing manual review, and the labeling and evaluation platform behind all of it.
You will work closely with the Shopping, Offers and Monetisation teams, as well as catalogue operations and partner support.
What you’ll bring:
- 6+ years of engineering experience, including 3+ years building production ML systems (NLP, LLM applications, embeddings, or classification at scale)
- 2+ years as an
📌 Engineering Manager (España)
🏢 Tabby
📍 España