Technical Project Manager

RemoteStar; Donostia/San Sebastián; Híbrido; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

A fast-growing deep-tech company in Spain is seeking a Technical Project Manager to lead projects involving LLM and AI solutions. The ideal candidate will possess a master's degree and relevant experience in managing machine learning projects. This position offers an indefinite contract, hybrid working opportunities, and various employee benefits including bonuses and health insurance.

Servicios

Indefinite contract

Equal pay guaranteed

Variable performance bonus

Signing bonus

Work visa sponsorship available

Relocation package if applicable

Private health insurance

Educational budget eligibility

Flexible working hours

Discounted lunch options

Career development opportunities

Formación

• 4+ years’ experience delivering ML or data-driven software projects.
• 2+ years’ experience managing engineering projects, especially LLM or NLP.
• Experience with cloud ML workflows.

Responsabilidades

• Lead cross-functional teams to deliver LLM and AI solutions.
• Drive project lifecycle from scoping to deployment.
• Translate complex business requirements into technical plans.

Conocimientos

Machine Learning

Python

Project Management

Communication

Agile/Scrum

Stakeholder Management

Educación

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

PhD in a relevant technical discipline

Herramientas

Docker

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