Top Tech Jobs & Startup Jobs in Madrid

Owns and optimizes Revlon’s Amazon product detail pages across European marketplaces. Responsibilities include improving content quality, imagery, A+ content, SEO, localization, ratings and reviews, launch readiness, and conversion performance. The role establishes quality standards, monitors KPIs, identifies content gaps, coordinates product launches, and collaborates with commercial, brand, regulatory, legal, advertising, content, and master data teams.

Owns the design and delivery of payment risk systems covering underwriting, exposure, reserves, payout controls, disputes, verification, and transaction monitoring. Leads projects from discovery through rollout and reliability monitoring while balancing fraud protection with organizer experience. Collaborates closely with Product, Payment Operations, and KYC teams, participates in on-call and incident response, mentors engineers, and helps automate manual risk decisions for a growing merchant-of-record platform.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Design, build and operate backend services in AWS for a multi-service hospitality platform. Implement new features, payment and EPOS integrations, improve performance, monitoring and deployment automation using TypeScript/Node.js and databases like Mongo Atlas, Postgres RDS or DynamoDB. Collaborate in a UK development team and automate infrastructure, CI/CD and QA.

Manages complex enterprise sales deals before contract signature, ensuring pricing, scope, timelines, resourcing, and delivery commitments are feasible. Coordinates Sales, Solutions, Product, Delivery, Finance, and Legal; maintains deal plans, RAID logs, governance, risk tracking, and executive reporting. Contributes to commercial proposals, business cases, SOWs, and estimates while improving deal-readiness processes and playbooks. The role requires strong project management, commercial judgment, stakeholder leadership, and knowledge of enterprise technology sales, preferably automotive retail or B2B SaaS.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.

Own product positioning, messaging, launches, customer feedback loops, case studies, sales materials, and cross-sell campaigns for an AI-powered B2B SaaS platform. Build the product marketing function from scratch, partner closely with Product, Sales, Customer Success, Growth, and leadership, and measure adoption, pipeline, and expansion outcomes. Maintain the company’s internal product knowledge base and serve as the product’s public-facing marketing representative.

Owns diagnosis and resolution of complex customer issues across a distributed database platform. Responsibilities include SQL and query performance troubleshooting, Linux administration, customer onboarding and deployments, managed database monitoring, root-cause analysis, documentation, technical escalation, and collaboration with Engineering. The role provides customer support through tickets, email, and phone, participates in on-call rotations, and uses AI-assisted troubleshooting.

Design, build, and operate distributed backend systems in Rust; develop scalable ingestion pipelines, optimize columnar storage on object storage at petabyte scale, and manage Kubernetes clusters across AWS, Azure, and GCP. The role also involves building automation for provisioning, monitoring, scaling, and maintaining managed customer clusters.

Build cloud security training labs and technical content using YAML, Markdown, Bash, and Python. Support training-platform troubleshooting, deliver technical demos and workshops, write courseware, and apply instructional design principles. Use AI coding agents to accelerate lab and script development while validating outputs. Collaborate with senior instructors and cross-functional teams while developing technical depth, teaching ability, and presentation confidence.