Engineering Manager (ML)

Tabby
Spain
Workplace: RemoteFull timeFunction: Software EngineeringExperience: 6+ yearsSkills: ["Communication","Leadership","Independence","Collaboration","Proactive mindset"]

Lead Tabby Marketplace’s Content Quality & Personalisation team to run the LLM-based enrichment pipeline—from feed ingestion through categorisation, attribute extraction, translation, moderation, and publication. Own the roadmap for catalogue intelligence using item representations, embeddings, and evaluation to power search and recommendations. Manage cross-functional execution across ML, backend, frontend, QA, and product analytics, ensuring scalable, observable production ML systems with strong SLAs and business outcomes.

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FursaFursa
Tabby
Tabby
23 hours ago

Engineering Manager (ML)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Lead Tabby Marketplace’s Content Quality & Personalisation team to run the LLM-based enrichment pipeline—from feed ingestion through categorisation, attribute extraction, translation, moderation, and publication. Own the roadmap for catalogue intelligence using item representations, embeddings, and evaluation to power search and recommendations. Manage cross-functional execution across ML, backend, frontend, QA, and product analytics, ensuring scalable, observable production ML systems with strong SLAs and business outcomes.
Location: Spain
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Own the end-to-end product data pipeline: ingestion from feeds and plugins, ML enrichment, moderation, and publication with SLAs for freshness, coverage, and quality.
  • •Lead the ML roadmap for catalogue intelligence, including category tree/attribute coverage, translation quality, ML-assisted moderation, item embeddings, and recommendations.
  • •Lead large cross-team projects and drive them into production, aligning with Shopping, Offers, Monetisation, catalogue operations, and partner support.
  • •Ensure ML evaluation and non-functional requirements are met, including inference cost, latency, and data residency.
  • •Hire, evaluate, motivate, and grow the team, overseeing technical debt management and incident handling across ML and backend services.

Pay and Benefits

Perks:Remote WorkPaid LeaveEquityLearning BudgetWellness Stipend

Key Requirements

  • •6+ years of engineering experience, including 3+ years building production ML systems at scale (NLP, LLM applications, embeddings, or classification).
  • •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/pipeline design, fine-tuning, evaluation, and cost/latency control.
  • •Experience building and operating large-scale data and ML pipelines (batch and streaming) with observability, reproducibility, and reliability.
  • •Strong backend fundamentals; able to review Go and Python services and reason about distributed systems.
Experience:6+ yearsFintechE-commerceMarketplaceNLPLLMMachine learning
Skills:CommunicationLeadershipIndependenceCollaborationProactive mindset
Languages:English
Tech Stack:PythonGoPostgreSQLPub/SubBigQueryGCSKubernetesGoogle Cloud PlatformAirflowMicroservices architectureLLMNLPEmbeddingsClassificationA/B testingAPI-based modelsSelf-hosted models

Company Brief

Tabby
Tabby is a MENA buy‑now‑pay‑later and fintech platform that enables customers to split purchases into installments, offers in‑store and online payment products, a consumer app, and merchant services across Saudi Arabia, UAE, Kuwait and the wider region.
Industry: Lending
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Riyadh, Saudi Arabia
Founded: 2019
Glassdoor
Glassdoor: 4.0
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