Technical Project Manager | AI Start-up | Fixed-term ContractJoin a European deep-tech leader in quantum and AI.
A well-funded, fast-growing company backed by major general investors with its groundbreaking technology is already transforming AI, compressing large language models by up to 95% and cutting inference costs by *****%.
This is your chance to be part of a team often described as a "quantum-AI unicorn in the making."This is a Hybrid opportunity in Barcelona.
It is a fixed-term contract to work until 30th June ****ResponsibilitiesLead 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 QualificationsMaster'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.Interested?
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