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Technical Project Manager - Tech Consulting

RemoteStar

Madrid

Híbrido

EUR 60.000 - 80.000

Jornada completa

Hoy
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A leading deep-tech company in Madrid is seeking a Technical Project Manager to lead cross-functional teams delivering AI solutions for industry clients. The role requires strong leadership in ML projects, excellent communication skills, and the ability to manage project lifecycles effectively. This position offers an indefinite contract, variable performance bonus, and a hybrid working model.

Servicios

Work visa sponsorship
Relocation package
Private health insurance
Educational budget eligibility
Flexible working hours

Formación

  • 4+ years’ experience delivering ML or data-driven software projects.
  • 2+ years’ experience managing end-to-end engineering projects.
  • Familiarity with cloud ML workflows.

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 technical plans.

Conocimientos

Machine Learning
Stakeholder Management
Project Leadership
Communication Skills
Python
Agile/Scrum

Educación

Master’s degree in Computer Science, Data Science, Physics, Engineering, or related field
PhD in a relevant technical discipline

Herramientas

Docker
AWS
GCP
Azure
Descripción del empleo

Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international.

They provide hyper-efficient software to companies seeking to gain an edge with quantum computing and artificial intelligence. 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); 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.

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

As a

Technical Project Manager, you will

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.

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.

Indefinite contract.

Variable performance 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.

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