engineering manager for catalogue intelligence

Tabby is a global fintech company that provides shopping, payment, and financial services through a marketplace-oriented platform.

• Own the end-to-end product data pipeline, including 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, including 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;
• Build and maintain evaluation and labeling infrastructure for measuring model changes before production;
• Oversee technical debt management and incident handling across ML and backend services;
• Hire, evaluate, and motivate team members;
• Grow ML engineers into owners of business outcomes;
• Build cross-team and cross-functional collaboration with Shopping, Offers, Monetisation, catalogue operations, and partner support;
• Foster a results- and business-oriented culture;
• Monitor key team performance indicators;
• Ensure process and delivery transparency for stakeholders and partner functions;
• Optimise processes to improve productivity.

• 6+ Years of engineering experience, including 3+ years building production ML systems in 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;
• Hands-on experience shipping LLM-based products, including prompt and pipeline design, fine-tuning, evaluation, cost and latency control, and self-hosted and API-based models;
• Experience building and operating large-scale batch and streaming data and ML pipelines that are observable, reproducible, and reliable;
• Solid backend fundamentals and ability to review Go and Python services and reason about distributed systems;
• Strong grasp of ML evaluation, including golden datasets, labeling workflows, offline metrics, and A/B testing tied to business outcomes;
• Product sense with the ability to connect catalogue quality to conversion, discovery, and merchant growth and prioritise accordingly;
• Proactive mindset and ability to work independently;
• Strong English communication skills at B2 level or higher;
• Nice to have: Experience with product catalogues, PIM systems, or marketplace content moderation, experience with Arabic-language content, familiarity with data residency and regulated-data requirements.

• Full-time B2B contract;
• Fully remote setup;
• Up to 20% tax allowance;
• 22 Paid leave days annually;
• Stock options (ESOP) in a fast-scaling, pre-IPO company;
• Flexi benefits for wellness, travel, or learning;
• Work alongside an international engineering team in a global fintech unicorn.