Engineering Manager, ML

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

📋 Description

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

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

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

• Participate in quarterly planning and roadmap formulation; define and communicate OKRs for catalog quality and personalization.

• Evaluate feature designs and verify that non-functional requirements are met, including ML evaluation, inference cost, latency, and data residency.

• Develop and sustain evaluation and labeling infrastructure to assess model changes prior to production.

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

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

• Facilitate cross-team collaboration with Shopping, Offers, Monetization, catalog operations, and partner support.

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

• Track key performance indicators for the team.

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

• Streamline processes to boost productivity.

• Lead a multidisciplinary team of ML engineers, backend and frontend engineers, QA, and a product analyst.

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

⛳️ Requirements

• Over 6 years of engineering experience, including more than 3 years developing production ML systems (NLP, LLM applications, embeddings, or large-scale classification).

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

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

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

• Strong backend fundamentals; capable of reviewing Go and Python services and understanding distributed systems.

• In-depth understanding of ML evaluation: golden datasets, labeling workflows, offline metrics, and A/B testing linked to business outcomes.

• Product acumen relating catalog quality to conversion, discovery, and merchant growth.

• A proactive attitude and the ability to work autonomously.

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

• 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 working environment.

• Up to 20% tax allowance.

• 22 paid vacation days per year.

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

• Flexible benefits for wellness, travel, or educational purposes.

• Collaborate with a high-achieving, international engineering team in a global fintech unicorn.