Engineering Director - Product (Large Language Models and Machine Learning)

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AI Summary

Lead multiple engineering teams on Large Language Models and advanced machine learning systems. Shape technical strategy, influence product direction, and work with research, platform, and business stakeholders. Deliver robust, production-ready ML solutions.

Key Highlights
Lead multiple engineering teams
Shape technical strategy
Work with research, platform, and business stakeholders
Key Responsibilities
Lead and mentor engineering managers and senior technical leaders
Own strategy and execution for ML and LLM model development and evaluation
Drive cross-functional collaboration across Product, Research, Platform, and Leadership
Technical Skills Required
LLMs Machine Learning
Benefits & Perks
Hybrid working model
Visa sponsorship supported globally
English-speaking environment

Job Description


Engineering Director (Product) - LLMs / Machine Learning


We are partnering with a fast-growing deep tech organization building next-generation AI products at scale. They are seeking an experienced Engineering Director to lead multiple teams working on Large Language Models and advanced machine learning systems that directly power real-world products.


The role

You will lead several engineering teams focused on model development, experimentation, and evaluation. You will shape technical strategy, influence product direction, and work closely with research, platform, and business stakeholders to deliver robust, production-ready ML solutions.


Key responsibilities

  • Lead and mentor engineering managers and senior technical leaders across multiple teams
  • Own strategy and execution for ML and LLM model development and evaluation
  • Define best practices for experimentation, benchmarking, and reproducibility
  • Drive cross-functional collaboration across Product, Research, Platform, and Leadership
  • Oversee delivery timelines, technical risks, and resource planning
  • Communicate technical progress and insights clearly to senior stakeholders
  • Make high-impact technical trade-offs balancing performance, scalability, and efficiency


Essential requirements

  • Strong, hands-on experience with LLMs and Machine Learning. No exceptions
  • Master’s degree minimum in Computer Science, Engineering, Data Science, Physics, or similar
  • Senior leadership experience managing multiple engineering or data teams
  • Deep understanding of ML pipelines, model evaluation, and analytics frameworks
  • Product-oriented mindset with experience delivering ML-powered products
  • Excellent English communication skills


Additional details

  • Hybrid working model in the San Sebastian area
  • Visa sponsorship supported globally
  • English-speaking environment. Spanish not required


If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on smouland@eu-recruit.com


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