Technical Project Manager

Technical Project Manager

A fantastic career opportunity for an experienced Technical Project Manager to join an leading Quantum AI company, overseeing the management of projects within their AI and LLM Services department.

***This is initially a Fixed Term Contract until the end of June 2026 – Hybrid from a new site in Zaragoza***

Responsibilities

• Lead cross-functional teams of engineers and machine learning practitioners to deliver impactful LLM and AI solutions for top-tier industry clients.
• Drive the full project lifecycle for advanced ML projects: from scoping and planning to deployment, ensuring successful, timely, and high-quality delivery.
• Translate complex business requirements into actionable technical plans and roadmaps tailored to machine learning and LLM-based initiatives.
• Oversee project progress, resource allocation, and milestone achievement, making data-driven adjustments and risk mitigations as needed.
• Facilitate solution design discussions and ensure technical feasibility of LLM/ML approaches, collaborating closely with research and product stakeholders.
• Proactively resolve blockers, manage team dependencies, and champion best engineering practices for scalable AI systems.
• Prepare and track project KPIs, ensuring a transparent view of status, risks, and deliverables to leadership and client stakeholders.
• Foster a culture of collaboration and continuous improvement, working with other project managers to align on cross-team initiatives for LLM/ML excellence.
• Communicate technical ideas and project status clearly across engineering and non-technical leadership, tailoring detail as required.

Required Qualifications

• Master’s degree in Computer Science, Data Science, Physics, Engineering, or a related field.
• 4+ years’ experience delivering ML or data-driven software projects in industry, including planning, execution, and delivery.
• 2+ years’ experience managing end-to-end engineering projects; experience specifically with LLMs or NLP projects is a strong plus.
• Hands-on familiarity with contemporary ML and software engineering tools (Python, git, Docker); comfortable discussing technical tradeoffs.
• Experience with agile/scrum methodologies in software or ML-focused teams.
• Good communication and stakeholder management abilities, including with non-technical audiences
• Working proficiency in English; Spanish is a plus.