Engineering Director - Product (LLMs & Machine Learning) - Remote
About the Role
We are seeking an experienced Engineering Director - Product (LLMs & Machine Learning) remote to join a fast-growing deep tech organization that is building next-generation AI products at scale. In this role, you will lead multiple teams focused on Large Language Models (LLMs) and advanced machine learning systems that directly power real-world products.
What You'll Do
- 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.
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.
Nice to Have
- Experience in a hybrid working model.
- Familiarity with Spanish language (not required).
What We Offer
- Competitive salary range of $180,000 - $220,000 per year.
- Visa sponsorship supported globally.
- Opportunity to work in an English-speaking environment.
- Flexible working arrangements.
- Engaging and innovative work culture.
This role offers an exciting opportunity to lead teams in a cutting-edge AI environment, with a competitive salary and global visa sponsorship.
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Who Will Succeed Here
Proven expertise in machine learning frameworks such as TensorFlow and PyTorch, with hands-on experience in deploying Large Language Models (LLMs) in production environments.
A strategic thinker with a strong background in engineering management, capable of balancing technical depth with high-level strategy in a fully remote work environment, fostering a culture of collaboration and innovation.
Demonstrated experience in leading cross-functional teams through complex technical challenges, with a mindset focused on continuous improvement and scalability in product development.
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