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A leading deep-tech company at the forefront of advanced computing and next-generation optimization technologies is expanding its engineering leadership team. Operating at the intersection of cloud, data, and highly sophisticated computational methods, the organization delivers cutting-edge solutions to internal stakeholders and world-class external clients across multiple industries. The team blends research-grade innovation with production-grade engineering to solve problems that traditional systems cannot. About the role We are looking for an experienced DevOps Manager to lead an international team of DevOps engineers and drive the development of scalable, secure, and high-performance cloud solutions. This role combines hands-on technical leadership with strong project management, ensuring the successful delivery of complex cloud and platform initiatives from concept through production. You will play a key role in shaping cloud architecture, improving engineering velocity through best-in-class DevOps and SRE practices, and fostering a collaborative, results-driven team environment. What you will do • Guide and grow a globally distributed DevOps/Platform team, setting technical direction while staying close to architecture and delivery., • Orchestrate cloud and platform initiatives from discovery to production, balancing priorities, timelines, capacity, and risk., • Elevate reliability, scalability, and security standards through strong SRE and DevOps culture across engineering teams., • Design and evolve multi-cloud infrastructure patterns that support high-availability SaaS workloads., • Champion automation across infrastructure, deployment, monitoring, and operations to improve engineering velocity and resilience., • Establish measurable KPIs, track progress, and continuously optimize delivery performance and quality., • Act as the primary bridge between engineering, stakeholders, and leadership—ensuring alignment, clarity, and transparency., • Standardize documentation, operational practices, and knowledge sharing across projects and teams., • Translate business and user needs into robust, production-ready platform solutions. Required qualifications • Advanced degree in a technical field such as Computer Science, Engineering, Physics, Data Science, Operations Research, or similar., • Extensive professional background (8+ years) spanning software engineering, cloud infrastructure, DevOps, or related disciplines, with at least 5 years leading platform or DevOps teams., • Strong command of DevOps, SRE principles, and Agile delivery in fast-paced, technology-centric environments., • Hands-on expertise with multi-cloud SaaS infrastructure (AWS, Azure, and/or GCP), including Kubernetes orchestration and Helm-based deployments., • Solid experience implementing infrastructure as code and automation frameworks (e.g., Terraform) for scalable and secure systems., • Practical knowledge of CI/CD ecosystem tools (e.g., GitLab CI, ArgoCD) and containerization practices using Docker., • Experience with both relational and NoSQL databases such as PostgreSQL, DynamoDB, or MongoDB., • Proficiency in Python and version control workflows using Git., • Demonstrated leadership, organizational ability, and excellent communication skills in English. If your skills match this profile—or you are highly motivated to step into a role like this—apply now or email .

Technical Engineering Director (Services) A fantastic opportunity for a driven Technical Engineering Director to join an International Quantum Computing Leader, overseeing their Services Team based in San Sebastian, Spain. Responsibilities: • Drives end-to-end delivery on customer projects: from technical scoping to execution and delivery., • Transforms client needs into innovation: identifies opportunities to derive new intellectual property, with a strong focus on transferring innovations into scalable company products., • Builds and curates a high-performance team: responsible for recruitment, mentorship, career development, and fostering an open and collaborative environment., • Allocates and optimizes talent across projects: ensures that resources are aligned effectively with department priorities while maintaining workload balance., • Brings unique technical expertise: leverages deep domain knowledge in machine learning, LLMs, and/or quantum computing to act as a technical authority and trusted advisor., • Coordinates with other directors: identifies cross-project synergies and ensures alignment with other department teams to maximize company-wide impact., • Represents the department externally: acts as a technical and strategic point of contact for customers, managing relationships and aligning client success with company objectives., • Reports directly to VP of Services and CTO. Required Qualifications • Master’s or PhD in Machine Learning, Physics, Computer Science, or related STEM field., • Minimum 3 years’ industry experience working on applied machine learning solutions, with emphasis on NLP, Large Language Models, or Deep Learning., • Minimum 2 years’ experience in project management with hands-on responsibility for delivering end-to-end client engagements., • Demonstrated team management experience, ideally managing managers and multi-project pipelines, • Experience with Python and applied ML frameworks., • Ability to collaborate with diverse and distributed teams, across both technical and non-technical functions., • Fluent Spanish Speaking is required. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ().

A Quantum Computing & AI software company based in San Sebastian are seeking to bolster their team with a talented Director of Engineering. Responsibilities: • Lead and scale multiple engineering teams focused on machine learning model development, evaluation, and delivery, fostering high performance, collaboration, and accountability., • Own the strategic planning and execution of model development and evaluation initiatives, ensuring alignment with product vision, customer impact, and company objectives., • Define, implement, and evolve best practices for model experimentation, benchmarking, and evaluation to ensure results are scalable, reproducible, and production-ready., • Partner cross-functionally with Research, Platform, Product, Marketing, and Leadership teams to drive integrated execution across the full model lifecycle and downstream product use cases., • Provide technical leadership and visibility to senior decision-makers by communicating modelling trends, research insights, risks, and trade-offs (e.g., model complexity vs. efficiency, experimental vs. production approaches). Requirements: • Master’s degree in Computer Science, Engineering, Data Science, Physics, Operations Research, or a related field (or equivalent industry experience)., • 8+ years of hands-on experience in software engineering, data science, or ML-focused roles, including model development, analytics, or evaluation systems., • 2+ years of proven leadership experience managing engineering or data teams in a technology-driven environment., • Strong experience with Large Language Models and modern ML architectures, including fine-tuning, evaluation methodologies, and benchmark design., • Solid understanding of ML development pipelines, model evaluation frameworks, and product-oriented delivery, with excellent communication and organizational skills. If this role is of interest please apply directly on LinkedIn or send a copy of your CV to . By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (

Engineering Director (Product) A fantastic opportunity for a driven Engineering Director to join an International Quantum Computing Leader, overseeing the Product Team based in San Sebastian, Spain. As an Engineering Director you will • Lead and manage multiple engineering teams focused on model development, evaluation, and related activities, ensuring high performance, collaboration, and delivery excellence., • Drive strategic planning and execution of machine learning model development and evaluation initiatives, aligning outcomes with company goals and product vision., • Influence and provide visibility to decision makers on modelling trends, research directions, and data-driven insights to help define strategic product priorities., • Coordinate cross-functionally with Research, Platform, Marketing, Leadership, and other collaborators to ensure integrated execution across model lifecycles and downstream product applications., • Define and implement best practices in model experimentation and evaluation methodologies to ensure scalable and reproducible results., • Develop comprehensive project plans, including milestones for model releases, evaluation benchmarks, resource allocations, and risk assessments., • Monitor project timelines, technical risks, and resource allocation across teams to maintain delivery excellence., • Establish, maintain, and evolve evaluation and analytics systems that measure and improve model accuracy, reliability, throughput, and fairness., • Report on engineering progress, research insights, and strategic needs to senior leadership; communicate technical findings clearly to both technical and non-technical stakeholders., • Demonstrate a data-driven and customer-centric focus in decision making, ensuring solutions are grounded in measurable outcomes and user impact., • Evaluate and make key technical decisions, including trade-offs between model complexity vs. efficiency, internal vs. external datasets, and experimental vs. production-ready approaches to align with company objectives., • Mentor engineering managers, technical leads, and other developers, fostering professional growth, technical depth, and cross-team collaboration. Required Qualifications • Master’s degree in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field; or equivalent industry experience., • 8+ years of hands-on experience in software engineering, data science, or other relevant engineering domains, including model development or analytics., • 2+ years of successful leadership experience managing engineering or data-focused teams in a technology-driven environment., • Experience with Large Language Models and other advanced ML architectures; techniques including fine-tuning, evaluation, or benchmark design., • Solid understanding of modern ML development pipelines, data science practices, and model evaluation frameworks., • Exposure to product management, with a strong understanding of lifecycle planning and cross-functional coordination., • Demonstrated experience delivering high-quality analytical or model-based products on time and within scope., • Excellent leadership skills with the ability to motivate, guide, and develop diverse technical teams effectively., • Strong organizational and time-management skills, coupled with a keen eye for analytical and technical detail., • Exceptional communication and Fluent in English. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ().

A Quantum Computing & AI software company based in San Sebastian are seeking to bolster their team with a talented Technical Engineering Director. Responsibilities: • Lead end-to-end delivery of client projects, from technical scoping and planning to execution and successful deployment., • Translate client needs into innovation by identifying opportunities for new intellectual property and scaling solutions into company products., • Build and maintain a high-performance team through recruitment, mentorship, career development, and fostering a collaborative culture., • Strategically allocate resources across projects to optimize team effectiveness while balancing workloads and priorities., • Serve as a technical authority in areas such as machine learning, LLMs, or quantum computing, providing guidance and trusted advice to teams and clients., • Coordinate with other directors to identify cross-project synergies and align initiatives with broader departmental and company goals., • Represent the department externally, managing client relationships and ensuring technical and strategic alignment with company objectives. Requirements: • Master’s or PhD in Machine Learning, Physics, Computer Science, or a related STEM field., • Minimum of 5 years’ industry experience delivering applied machine learning solutions, with expertise in NLP, Large Language Models, or deep learning., • At least 4 years of project management experience, including hands-on responsibility for end-to-end client engagements., • Proven experience managing teams, ideally including managers and multiple concurrent project pipelines., • Proficiency in Python and applied machine learning frameworks., • Strong collaboration skills with the ability to work across distributed, technical, and non-technical teams. If this role is of interest please apply directly on LinkedIn or send a copy of your CV to . By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (

Senior Strategic Account Executive (Public Sector) We are looking for a Senior Strategic Account Executive for the Public Sector in Spain, responsible for developing and closing large-scale commercial AI contracts across national, regional, and institutional public administrations. This role is purely business-driven and focused on commercial execution. The successful candidate will act as a trusted strategic partner to public institutions, capable of engaging at executive and political levels and closing high-value, multi-year AI contracts (7–8 figures). Key Responsibilities Strategic Business Development • Define and execute the commercial growth strategy for the public sector in Spain., • Identify, develop, and close large AI contracts with public administrations and public institutions., • Establish and maintain senior-level relationships with:, • Ministries and Secretariats of State, • Regional governments and public agencies, • CIOs, CTOs, Chief Data / AI Officers, and executive leadership, • Position the company as a long-term AI partner for public institutions., • Work closely with product, technical, legal, and delivery teams to ensure successful contract execution., • Provide market and customer feedback to support product and go-to-market evolution. Required Experience, • 10–15+ years of experience in strategic sales, business development, or account management within the public sector., • Proven track record of closing large, complex commercial contracts with public administrations., • Strong understanding of public procurement and contracting processes in Spain. • Experience selling complex technology or infrastructure-backed solutions. In accordance with local employment laws, applicants must have current, valid authorisation to work in Spain at the time of application. We are unable to sponsor employment visas for this role. Applications from individuals without existing work authorisation for Germany cannot be considered. If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ()

Technical Engineering Director - LLMs / Machine Learning / NLP / Natural Language Processing / Spanish speaking We are working with an innovative AI-focused technology company looking for a Technical Engineering Director to lead complex customer-facing ML and LLM projects while building scalable, product-ready solutions. The role This position blends technical leadership, delivery ownership, and people management. You will oversee end-to-end execution of advanced machine learning projects, act as a technical authority for clients, and help transform applied research into long-term company products. Key responsibilities • Lead delivery of complex ML and LLM projects from scoping through deployment, • Translate customer needs into scalable technical solutions and new IP, • Build, mentor, and retain high-performing engineering teams, • Allocate talent across multiple projects to meet business priorities, • Act as a senior technical advisor to customers and internal stakeholders, • Collaborate closely with other directors, Product, and Platform teams, • Represent the department in strategic and technical discussions with clients Essential requirements • Strong experience with LLMs and applied Machine Learning. No exceptions, • Master’s degree minimum in Machine Learning, Computer Science, Physics, or related field, • Proven experience delivering applied ML or NLP solutions in industry, • Hands-on leadership experience managing teams and multi-project pipelines, • Strong Python and ML framework experience, • Excellent English and Spanish communication skills Additional details • Hybrid working model in the San Sebastian area, • Visa sponsorship supported from anywhere If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (___)

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PHD pioneered communications planning over 25 years ago and has since become the most awarded media network, recently named ADWEEKs Global Media Agency of the Year 2024. PHD Global Business strives to represent the best of PHD, collaborating closely with more than 80 offices across 70 countries within the global PHD network. We are part of Omnicom Media Group, the media division of Omnicom Group, Inc. The team operates without a designated home market. The work arrangement for this role will be determined based on various factors, and it may be remote or based in one of PHDs EMEA offices. Role Operations & Engagement Manager This role will collaborate closely with the wider Operations & Engagement team and report directly to the Global Operations & Engagement Lead. Key Responsibilities • Role & Responsibilities: You will manage automated campaign optimization across Programmatic, Search, and soon Social channels, leveraging advanced machine learning. In this role, you will collaborate with hubs and local teams across selected EU-5 and North American markets. Your focus will be on ensuring the successful performance of algorithms and driving adoption across all viable channels., • Campaign Management and Adoption: Execute, manage, and optimize campaigns on platforms such as DV360, TTD (Programmatic), and Google Ads, SA360 (Search), ensuring efficiency thresholds are met. Regularly report on performance and manage campaign briefs, track adoption, conduct feasibility analyses, and troubleshoot issues., • Data Accuracy and Validation: Conduct regular audits of tracking elements, including Floodlights, universal pixels, static pixels, and variables, ensuring data precision for effective functionality and performance measurement. Flag issues promptly and coordinate with relevant teams to resolve tracking discrepancies., • Algorithm Management: Oversee algorithm requests, working closely with Data Science teams to troubleshoot, assess feasibility, and apply AI mechanisms effectively. Manage and validate algorithm syntax for platforms like DV360, Google Ads, SA360, and TTD. Enhance AI targeting & budget allocation and conduct real-time checks to ensure robust performance., • Reporting & Insights: Manage automated reporting tools and update trackers for adoption, efficiency, billing, and forecasting. Perform monthly performance reviews at critical campaign stages (e.g., 50% and 70% completion) and provide insights on benchmarks, edge cases, and efficiencies across brands and markets., • Collaboration and Communication: Participate in regular and ad hoc meetings with stakeholders, providing performance updates, progress reports, and addressing challenges. Collaborate closely with the Operations and Engagement teams to ensure alignment and seamless execution., • Continuous Evolution: This is a dynamic role requiring ongoing iteration and problem-solving. While core tasks will focus on digital and analytics, responsibilities will adapt as the project evolves, with an emphasis on innovation and improvement. Profile • Experience 2-3+ years of programmatic advertising experience, particularly with platforms like DV360 and The Trade Desk. Exposure to Search (Google Ads, Microsoft Ads/Bing, Search Ads 360) and Social platforms (Meta Ads Manager, TikTok Ads, etc.) is highly recommended., • Proven Expertise: Demonstrated success in managing performance campaigns across biddable channels., • Cross-Channel Insight: Strong understanding of cross-channel performance analysis, ensuring cohesive strategies and optimal measurement across Search, Social, and Programmatic channels., • Tracking and Troubleshooting: Hands-on experience in tracking setup, implementation, and validation, including Floodlights, universal pixels, static pixels, and dynamic creative variables. Familiarity with debugging tools such as Google Tag Assistant, Pixel Helper, or Omnibug is highly desirable., • Platform Integration Knowledge: Comprehensive understanding of how DSPs, ad servers, and analytics platforms (e.g., Google Analytics, Adobe Analytics) integrate and interact., • Analytical Mindset: Proficient in analyzing performance metrics across multiple channels, identifying trends, and providing actionable data-driven recommendations., • Detail-Oriented: Exceptional attention to detail and capability to manage multiple priorities effectively in a fast-paced environment., • Technical Aptitude: Passionate about technology, analytics, measurement, and digital advertising, with a forward-thinking, proactive approach to innovation., • Collaboration and Communication: Proven ability to work effectively with cross-functional teams, including media, creative, and analytics professionals, ensuring smooth operations and efficient issue resolution., • Language Requirements: A good level of English is mandatory as the primary language for communication. Join us!

Technical Engineering Director - LLMs / Machine Learning / NLP / Natural Language Processing / Spanish speaking We are working with an innovative AI-focused technology company looking for a Technical Engineering Director to lead complex customer-facing ML and LLM projects while building scalable, product-ready solutions.The roleThis position blends technical leadership, delivery ownership, and people management. You will oversee end-to-end execution of advanced machine learning projects, act as a technical authority for clients, and help transform applied research into long-term company products.Key responsibilitiesLead delivery of complex ML and LLM projects from scoping through deploymentTranslate customer needs into scalable technical solutions and new IPBuild, mentor, and retain high-performing engineering teamsAllocate talent across multiple projects to meet business prioritiesAct as a senior technical advisor to customers and internal stakeholdersCollaborate closely with other directors, Product, and Platform teamsRepresent the department in strategic and technical discussions with clientsEssential requirementsStrong experience with LLMs and applied Machine Learning. No exceptionsMaster’s degree minimum in Machine Learning, Computer Science, Physics, or related fieldProven experience delivering applied ML or NLP solutions in industryHands-on leadership experience managing teams and multi-project pipelinesStrong Python and ML framework experienceExcellent English and Spanish communication skillsAdditional detailsHybrid working model in the San Sebastian areaVisa sponsorship supported from anywhereIf this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ()

Established in 1973, EU Business School (EU) is an international, professionally accredited, high-ranking business school with campuses in Barcelona, Geneva, Munich and Digital. At EU Business School we prioritize your personal and professional development, offering a supportive environment to help

Freelance End-to-End & Integration Business Analyst (CPQ – Oracle) - 100% Remote in EU Location: Barcelona (Hybrid / Remote options considered) Contract: Freelance / Contract (6 months contract with extension) The Opportunity: A leading global services organisation is executing a large-scale end-t

Educational Psychologist, Learning Specialist (Psychopedagogy or Neuropsychologist), or Clinical Psychologist with relevant experience in educational settings and/or student wellbeing. Knowledge of neuropsychology is a strong asset, though candidates without it will also be considered. At EU Busines

Freelance End-to-End & Integration Business Analyst (CPQ – Oracle) - 100% Remote in EU.

Established in 1973, EU Business School (EU) is an international, professionally accredited, high-ranking business school with campuses in Barcelona, Geneva, Munich and Digital. The IT support will be in charge of assisting students, staff, faculty members and other EU stakeholders; with their IT re

Department: Sales & Retail Operations | veSync Europe.

You’ll have the excellent interpersonal skills and international mindset to work with multicultural teams across all our European campuses to bring the EU Business School story to life. EU Business School is looking for a content writer and editor to join its dynamic, international communications

Freelance End-to-End & Integration Business Analyst (CPQ – Oracle) - 100% Remote in EU.

Established in 1973, EU Business School (EU) is an international, professionally accredited, high-ranking business school with campuses in Barcelona, Geneva, Munich and Digital. At EU Business School, we are committed to fostering an inclusive and diverse work environment where everyone is valued an