Engineering Manager (ML)
Department: Marketplace, Engineering
Employment Type: Full Time
Location: Remote/Spain
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 adaptable 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 global and regional investors, and is now valued at $6,5 billion.
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. 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 or ML Team Lead at a fast-growing e-commerce, marketplace or fintech company
~ Experience building and operating large-scale data and ML pipelines (batch and streaming), and making them observable, reproducible and reliable




~ Solid backend fundamentals; you are comfortable reviewing Go and Python services and reasoning about distributed systems
~ Python, Go, PostgreSQL, Pub/Sub, BigQuery, GCS, Kubernetes, Google Cloud Platform, Airflow, and a microservices architecture
~ A strong grasp of ML evaluation: golden datasets, labeling workflows, offline metrics, and A/B testing tied to business outcomes
~ Product sense: you connect catalogue quality to conversion, discovery and merchant growth, and you can prioritise accordingly
~ Strong communication skills in English (B2 level or higher)

Experience with product catalogues, PIM systems, or marketplace content moderation
Experience with Arabic-language content
Familiarity with data residency and regulated-data requirements
Own the end-to-end product data pipeline: ingestion from feeds and plugins, ML enrichment, moderation and publication, with clear SLAs for freshness, coverage and quality
Lead the ML roadmap for catalogue intelligence: category tree and attribute coverage, translation quality, ML-assisted moderation, item embeddings and recommendations
Lead large cross-team projects and drive them to production
Contribute to quarterly planning and roadmap definition; define and report OKRs for catalogue quality and personalisation
Review feature designs and ensure non-functional requirements are met, including ML evaluation, inference cost, latency and data residency
Oversee technical debt management and incident handling across ML and backend services
Monitor key team performance indicators
Full-time B2B contract
~ Fully remote setup
~ Up to 20% tax allowance
~Work alongside a high-performing, international engineering team in a global fintech unicorn

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📌 Backend Engineering Manager /Remote/ (España)
🏢 تابي
📍 España