Engineering Manager (ML)

Tabby
Poland
Workplace: RemoteFull timeFunction: Software EngineeringExperience: 6+ yearsSkills: ["Leadership","Collaboration","Communication","Independent work","Proactive mindset"]

Lead the ML team powering Tabby Marketplace’s content quality and personalization. Own an end-to-end pipeline for ingestion, ML enrichment (categorization, attributes, translation), and LLM-based moderation, plus item representations and embeddings that drive search and recommendations. Manage cross-functional delivery across ML, backend/frontend, QA, and product analytics—building scalable data/ML systems with strong evaluation, observability, reliability, and measurable business outcomes.

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FursaFursa
Tabby
Tabby
2 days ago

Engineering Manager (ML)

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

Job Summary

Lead the ML team powering Tabby Marketplace’s content quality and personalization. Own an end-to-end pipeline for ingestion, ML enrichment (categorization, attributes, translation), and LLM-based moderation, plus item representations and embeddings that drive search and recommendations. Manage cross-functional delivery across ML, backend/frontend, QA, and product analytics—building scalable data/ML systems with strong evaluation, observability, reliability, and measurable business outcomes.
Location: Poland
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/plugins, ML enrichment, moderation, and publication with clear SLAs for freshness, coverage, and quality.
  • •Lead the ML roadmap for catalogue intelligence, including category/attribute coverage, translation quality, ML-assisted moderation, and item embeddings driving recommendations.
  • •Lead large cross-team projects to production and define/track OKRs for catalogue quality and personalization.
  • •Oversee evaluation and labeling infrastructure (golden datasets, labeling workflows, offline metrics, A/B testing) and ensure non-functional requirements like inference cost, latency, and data residency.
  • •Hire, evaluate, motivate, and grow team members; manage technical debt and handle incidents across ML and backend services.

Pay and Benefits

Perks:Remote WorkPaid LeaveEquityLearning Budget

Key Requirements

  • •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.
  • •Hands-on experience shipping LLM-based products, including prompt/pipeline design, fine-tuning, evaluation, and cost/latency control.
  • •Experience building and operating large-scale batch and streaming data/ML pipelines that are observable and reliable.
  • •Comfort reviewing Go and Python services and reasoning about distributed systems; strong communication in English (B2+).
Experience:6+ yearsFintechE-commerceMarketplace
Skills:LeadershipCollaborationCommunicationIndependent workProactive mindset
Languages:English
Tech Stack:PythonGoPostgreSQLPub/SubBigQueryGCSKubernetesGoogle Cloud PlatformAirflowMicroservices

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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