Technical Project Manager

Multiverse Computing; Barcelona; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading quantum software company in Barcelona seeks an experienced project manager to lead cross-functional teams in delivering innovative LLM and AI solutions. The ideal candidate will have significant experience in machine learning projects and project management, with the ability to communicate effectively across technical and non-technical audiences. The role offers a hybrid work environment and a comprehensive benefits package.

Servicios

Indefinite contract

Equal pay guaranteed

Variable performance bonus

Signing bonus

Work visa sponsorship

Relocation package

Private health insurance

Educational budget

Flexible working hours

Language classes

Career plan

Formación

• 4+ years’ experience delivering ML or data-driven software projects.
• 2+ years’ experience managing end-to-end engineering projects.
• Hands-on familiarity with contemporary ML and software engineering tools.

Responsabilidades

• Lead cross-functional teams to deliver impactful LLM and AI solutions.
• Drive the full project lifecycle for advanced ML projects.
• Translate complex business requirements into actionable plans.

Conocimientos

Machine learning experience

Project management

Communication skills

Educación

Master’s degree in Computer Science, Data Science, Physics, Engineering

Herramientas

Python

Docker

git

Descripción del empleo

Overview

Come and join our multicultural team!

5 locations

• 27 languages

Multiverse Computing

Multiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.

With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.

Our flagship products, CompactifAI and Singularity, address critical needs across various industries :

• CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable.
• Singularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.

You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity.

We’re committed to building a truly inclusive culture—come and join us.

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.

Preferred Qualifications

• PhD in a relevant technical discipline.
• Experience directly managing LLM, NLP, or generative AI projects.
• Familiarity with cloud ML workflows (AWS, GCP, Azure).
• Exposure to quantum / quantum-inspired technologies or advanced model compression technique.

Perks & Benefits

• Indefinite contract.
• Equal pay guaranteed.
• Variable performance bonus.
• Signing bonus.
• We offer work visa sponsorship (If applicable).
• Relocation package (if applicable).
• Private health insurance.
• Eligibility for educational budget according to internal policy.
• Hybrid opportunity.
• Flexible working hours.
• Flexible remuneration: hospitality and public transportation.
• Language classes and discounted lunch options
• Working in a high paced environment, working on cutting edge technologies.
• Career plan. Opportunity to learn and teach.
• Progressive Company. Happy people culture.

As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.