Engineering Manager, ML

This is a fully remote position, open to applicants in Serbia.

📋 Description

• Manage the complete product data pipeline: from ingestion via feeds and plugins to ML enrichment, moderation, and publication, ensuring clear SLAs for freshness, coverage, and quality.

• Direct the ML roadmap for catalog intelligence, focusing on category tree and attribute coverage, translation quality, ML-assisted moderation, item embeddings, and recommendations.

• Spearhead significant cross-team initiatives and guide them through to production.

• Participate in quarterly planning and roadmap establishment; define and track OKRs for catalog quality and personalization.

• Evaluate feature designs to confirm compliance with non-functional requirements, including ML evaluation, inference cost, latency, and data residency.

• Develop and maintain evaluation and labeling infrastructure to assess every model modification prior to production.

• Manage technical debt and incident response across ML and backend services.

• Recruit, assess, and inspire team members; empower ML engineers to take ownership of business outcomes.

• Cultivate collaboration across teams and functions, including Shopping, Offers, Monetization, catalog operations, and partner support.

• Promote a results-driven and business-centric culture.

• Track key performance indicators for the team.

• Ensure transparency in processes and deliveries for stakeholders and partner functions.

• Enhance processes to boost productivity.

• Lead a cross-functional team comprising ML engineers, backend and frontend engineers, QA, and a product analyst.

• Collaborate closely with teams in Shopping, Offers, and Monetization, as well as catalog operations and partner support.

⛳️ Requirements

• Over 6 years of engineering experience, with at least 3 years in developing production ML systems (NLP, LLM applications, embeddings, or classification at scale).

• A minimum of 2 years experience as an Engineering Manager or ML Team Lead in a rapidly growing e-commerce, marketplace, or fintech organization.

• Practical experience in delivering LLM-based products, including prompt and pipeline design, fine-tuning, evaluation, cost and latency management, as well as self-hosted and API-based models.

• Experience in constructing and managing large-scale data and ML pipelines (both batch and streaming), ensuring they are observable, reproducible, and reliable.

• Strong backend knowledge; adept at reviewing Go and Python services and analyzing distributed systems.

• Comprehensive understanding of ML evaluation, including golden datasets, labeling workflows, offline metrics, and A/B testing linked to business outcomes.

• Product intuition that connects catalog quality to conversion, discovery, and merchant growth.

• Proactive attitude and capability to work autonomously.

• Excellent communication skills in English (B2 level or higher).

• Preferred: Experience with product catalogs, PIM systems, or marketplace content moderation.

• Preferred: Experience with Arabic-language content.

• Preferred: Familiarity with data residency and regulated data requirements.

🏝️ Benefits

• Full-time B2B contract.

• Fully remote work setup.

• Up to 20% tax allowance.

• 22 paid leave days each year.

• Stock options (ESOP) in a rapidly growing, pre-IPO company.

• Flexible benefits applicable for wellness, travel, or learning purposes.

• Collaborate with a high-performing, international engineering team within a global fintech unicorn.