Technical Project Manager

RemoteStar; Santiago de Compostela; Híbrido; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

A leading deep-tech company in Spain is seeking an experienced Technical Project Manager to lead cross-functional teams in delivering impactful ML and AI solutions. You will manage the full project lifecycle, translating complex business needs into actionable technical plans. The role requires a Master's degree and significant experience in project management, particularly in ML. Flexible working hours and hybrid opportunities are offered.

Servicios

Indefinite contract

Equal pay guaranteed

Variable performance bonus

Signing bonus

Work visa sponsorship

Relocation package

Private health insurance

Educational budget

Flexible working hours

Career plan

Formación

• 4+ years’ experience delivering ML or data-driven software projects.
• 2+ years’ experience managing end-to-end engineering projects.
• Good communication and stakeholder management abilities.

Responsabilidades

• Lead cross-functional teams of engineers and ML practitioners.
• Drive the full project lifecycle for advanced ML projects.
• Translate complex business requirements into actionable technical plans.

Conocimientos

Machine Learning (ML)

Project Management

Stakeholder Management

Python

Docker

English

Agile Methodologies

Educación

Master’s degree in Computer Science or related field

Herramientas

git

AWS

GCP

Azure

Descripción del empleo

At RemoteStar , we're currently hiring for one of our client based in Spain

About client

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. Their main products, Singularity and CompactifAI, address critical needs across various industries.

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.

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.
• 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.

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