Top Tech Jobs & Startup Jobs in Madrid

Lead and develop a global technical support team to resolve customer issues, manage escalations, analyze field failures, improve support processes, and liaise with Quality, Engineering, Product, and Operations to ensure service excellence and compliance with ISO and company standards.

Owns US B2B partner acquisition for a homeowner seller-referral marketplace. Responsibilities include prospecting, negotiating referral terms, launching partner workflows, measuring channel performance, improving partner economics, documenting acquisition playbooks, and coaching a small partnerships team.

Designs and scales enterprise AI platforms, NLP and LLM workflows, agentic solutions, data pipelines, and quality-insights products. Owns architecture and product direction while ensuring GxP, FDA, ISO, and computerized system validation compliance. Oversees Dataiku, Azure ML, Snowflake, AWS, BI, Git, Jira, and Confluence workflows; governs AI use cases; partners with global quality stakeholders; and mentors teams through a community of practice.

Leads the Salesforce administration team and owns the reliability, security, governance, integrations, releases, data quality, licensing, and roadmap of Salesforce Sales, Service, and Experience Cloud. The role combines hands-on configuration and troubleshooting with people leadership, DevOps, API monitoring, access governance, audit support, stakeholder management, and responsible adoption of Agentforce and enterprise AI capabilities.

Lead and scale the Project Management function, manage multiple technical projects from inception to delivery, mentor Digital Project Managers, standardize PM practices, oversee portfolio and resource allocation, drive cross-functional collaboration, report to senior leadership, and improve delivery KPIs and processes.

Own product direction, roadmap, prioritization, discovery, delivery, launches, and performance outcomes across manufacturing technology products. Collaborate with firmware, cloud, UX, engineering, operators, and business stakeholders to translate customer needs into shipped products. Focus areas include production insights, scalable platforms and integrations, or hardware, firmware, and IoT data capture. Use customer research, analytics, and continuous iteration to improve factory-floor outcomes.

Build and evolve backend services and APIs for an AI-driven networking product. Design and deliver product functionality end-to-end, improve existing microservices, collaborate on product decisions, and own solutions through deployment with minimal supervision. The role uses Node.js with NestJS, Go, PostgreSQL, gRPC, Docker, GCP, and AI developer tooling in a fully remote startup environment.

Own and execute Decoda's content and inbound growth strategy across social, blog, SEO, and paid channels. Produce short-form video and written content, design experiments to optimize engagement and cost-per-lead, manage paid and organic performance, implement analytics and attribution (GA4, UTM), track funnel metrics, and collaborate with leadership to align content with sales and brand priorities.

Owns revenue enablement programs for EMEA field teams from design through rollout, measurement, and iteration. Responsibilities include creating sales resources, implementing MEDDPICC, building certifications, managing enablement platforms, coaching sellers, partnering with GTM teams, using analytics and AI workflows, and reporting program impact through metrics such as ramp time, win rates, pipeline generation, and deal velocity.

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.