Top Tech Jobs & Startup Jobs in Madrid

Drives sales pipeline development and closes complex software, services, and outsourcing opportunities for mid-to-large accounts. Builds executive-level client relationships, develops account and quota plans, positions solutions against competitors, coordinates supporting sales activities, manages renewals, forecasts revenue, and collaborates with account managers and partners. Requires advanced consultative selling expertise, product knowledge, project management skills, and experience selling high-value IT solutions.

Owns enterprise customer relationships and revenue across assigned accounts. Responsibilities include prospecting, qualifying, and closing new business; driving cross-sell, upsell, product adoption, renewals, and retention; developing account plans; forecasting revenue; engaging executive stakeholders; and collaborating with Customer Success, Sales Engineering, Marketing, Finance, Support, and channel partners. The role sells cybersecurity software and flexible licensing models to mid-market and large enterprise customers.

Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.

Serve as a senior technical advisor for Cloudflare One, partnering with sales and customers to design, demonstrate, and validate SASE and Zero Trust security solutions. Analyze customer environments, address network and security requirements, guide proof-of-value engagements, explain competitive advantages, support revenue goals, and relay customer feedback to product and engineering teams. The role also focuses on enterprise AI security, including Shadow AI visibility, DLP, MCP access controls, and agentic AI governance.

Manage a portfolio of life sciences customer accounts, driving adoption, utilization, operational digitization, measurable ROI, renewals, and commercial expansion. Serve as the internal customer champion and trusted advisor while coordinating Sales, Product, Engineering, Support, Professional Services, and partners. Build executive relationships, lead stakeholder presentations, guide GxP manufacturing change management, and improve Customer Success processes. The role requires life sciences industry experience, enterprise collaboration, and up to 15% travel across the EMEA region.

Drive net-new revenue across assigned EMEA territories by prospecting, acquiring customers, managing the full sales cycle, exceeding quota, and closing complex SaaS platform deals. Build relationships with C-level decision-makers, position solutions addressing data and AI challenges, generate pipeline through outbound activity, collaborate with SDRs, marketing, pre-sales, and channel partners, and represent Boomi at industry events.

Manages a Europe-based team of Professional Services Engineers delivering GitLab implementations, migrations, advisory services, training, and customer engagements. Responsibilities include coaching and performance management, overseeing delivery outcomes, monitoring project health and utilization, resolving escalations, partnering with Sales, Customer Success, and Technical Architects, and improving professional services processes and standards in a remote, asynchronous environment.

Support prospects and customers evaluating, testing, and implementing Apryse document SDKs. Responsibilities include product demonstrations, requirements discovery, technical scoping, debugging customer code, supporting trials and implementations, managing pre-sales technical tickets, and advising on client-side and server-side architectures. The role partners with sales and product engineering, communicates customer feedback, and occasionally supports on-site workshops. Fluent Spanish and professional English are required.

Lead the technical direction and evolution of Affirm’s Recoveries platform. Design and operate scalable, correctness-sensitive backend systems supporting loan recoveries, partner integrations, payments, reconciliation, bankruptcy workflows, and customer experiences. Drive cross-team initiatives, improve reliability and observability, establish engineering standards, participate in on-call operations, and mentor engineers while ensuring regulatory compliance and strong data integrity.

Build and ship AI-native product capabilities, including models, tools, retrieval, and evaluation. Lead technical delivery for product areas, design and review code, partner with product owners, support CI/CD and production readiness, instrument features, improve shared engineering patterns, and mentor AI Product Engineers. The role requires strong software engineering fundamentals, production systems experience, and hands-on AI/ML or generative AI integration.