about 5 hours ago
Responsibilities
- Own technical delivery across multiple deployments from first prototype to stable production.
- Build full-stack systems that deliver customer value and enhance learning.
- Embed closely with customer teams to understand their needs and guide adoption.
- Scope work, sequence delivery, and proactively remove blockers.
- Make trade-offs between scope, speed, and quality while adjusting plans as needed.
- Contribute directly in the code when necessary for clarity and progress.
- Codify working patterns into tools and playbooks for team use.
- Share field feedback to inform Research and Product improvements.
- Maintain team momentum through clarity and follow-through.
Requirements
- 5+ years of engineering or technical deployment experience with customer-facing work.
- Experience in scoping and delivering complex systems in fast-paced environments.
- Proficient in writing and reviewing production-grade code in Python, JavaScript, or similar stacks.
- Experience with systems powered by LLMs or generative models.
- Ability to simplify complexity and make sound decisions under pressure.
- Strong communication skills with engineers, product teams, and customer stakeholders.
- Ability to identify risks early and adjust plans without slowing down.
- Demonstrated calmness and judgment in high-stakes situations.
Benefits
- Hybrid work model with 3 days in the office per week.
- Relocation assistance for candidates moving to Madrid.
- Opportunity to work at the intersection of AI research and customer deployment.