Top Remote Jobs in Spain

Develops and expands commercial partnerships across the DACH region. Responsibilities include identifying and prospecting new agency partners, managing existing relationships, conducting outbound outreach, negotiating agreements, coordinating with internal teams, training partners, and supporting referral growth. The role requires strong sales, communication, negotiation, networking, organization, and relationship-management skills, along with fluent German and professional English.

Develop and enhance Java desktop software controlling mass spectrometry and other laboratory instruments. Collaborate with scientists and engineers, test software with physical instruments, troubleshoot system issues, improve performance and maintainability, participate in code reviews, and support development process automation.

Provide second- and third-line technical support to global customers and partners through email, telephone, live chat, and remote sessions. Troubleshoot network, security, Windows, and Linux environments; resolve escalated incidents; replicate customer configurations; manage high-priority issues; and develop expertise through training and vendor certifications. Strong networking knowledge, communication skills, English fluency, and Spanish proficiency are required.

Lead business development strategy across Europe, identifying and executing M&A, commercial joint ventures, strategic partnerships, and portfolio optimization opportunities. Responsibilities include pipeline development, valuation, financial modeling, due diligence coordination, transaction negotiation, executive presentations, and post-transaction integration. The role requires strong knowledge of the dialysis market, financial acumen, stakeholder management, and experience combining clinical and business considerations in complex cross-functional environments.

Own new-logo sales and client growth for a global mobility professional services firm. Responsibilities include market mapping, systematic prospecting, qualifying opportunities, closing deals, coordinating RFPs and pitches, developing target accounts with senior partners, managing CRM and pipeline reviews, attending industry events, and building referral networks. The role requires quota ownership, complex B2B services sales experience, relationship development, and collaboration with senior professionals.

Advise managers and leadership on organizational design, workforce planning, employee relations, performance management, succession, engagement, and talent retention. Lead the people side of the Kolsquare-Storyclash integration, establish foundational HR processes, support the Austrian Works Council, analyze people data, and coordinate limited hiring support for helloCash. The role requires strong Austrian labor-law knowledge, conflict-navigation skills, and fluent German and English.

Own and grow railway accounts in Spain, develop new business across Iberia, and manage opportunities from prospecting through contract negotiation. Build strategic partnerships with rolling stock, signalling, and engineering companies; attend industry events; create market propositions, proposals, and RFP responses; and present software, AI, cybersecurity, systems, and safety capabilities. Collaborate with engineering and product teams to develop client-specific solutions.

Provides product support and appears to support sales activities for the Levante region. The limited description does not specify detailed responsibilities, required qualifications, technologies, travel, or work conditions.

Provides strategic leadership for data-related programs, overseeing multiple project areas, budgets, resources, risks, performance, and cross-departmental collaboration. The role aligns initiatives with business objectives, develops project management frameworks, monitors outcomes, and reports to executive leadership. It requires approximately eight years of relevant experience, strong analytical and communication skills, business metrics expertise, and a degree in computer science, data science, or a related engineering field.

Build and productionize machine learning systems for classification, retrieval, ranking, personalization, and evaluation. Develop models and datasets, optimize accuracy, latency, cost, and reliability, and maintain training, inference, and deployment pipelines. Monitor production performance, debug issues, and ship improvements based on real-world feedback. Collaborate with engineering and product teams to deliver reliable AI-powered features.