Top Remote Jobs in Madrid

Leads performance engineering and automation for Akamai’s cloud compute infrastructure. Designs distributed testing and benchmarking frameworks, establishes performance standards, optimizes CI/CD pipelines, analyzes telemetry, resolves bottlenecks, and mentors engineers. The role requires expertise in Python, Linux, Bash, Jenkins, Git, automated testing, and performance validation across hardware and software platforms.

Design user interfaces and experiences for Action1’s SaaS platform, including user flows, wireframes, mockups, prototypes, and consistent design patterns. Simplify complex IT management workflows, improve usability through feedback and insights, and collaborate with Product Managers and R&D teams. The role may also support website, HR, and marketing visual design initiatives.

Support the Sales Team with key customer account management, sales performance tracking, forecasts, order books, customer data, presentations, reports, and seasonal go-to-market activities. Collaborate with Marketing, Merchandising, Supply Chain, Customer Service, and Finance while contributing to process improvements and commercial initiatives.

Provides legal and regulatory support for Starr’s UK and European insurance operations. Responsibilities include drafting and negotiating commercial agreements, advising on corporate transactions and governance, supporting insurance underwriting, coverage, product development, claims, regulatory compliance, and employment matters. The role researches legal developments, develops risk mitigation strategies, collaborates with compliance and business teams, and may supervise employees.

Produces global experiential marketing events from concept through recap, managing venues, vendors, agencies, budgets, programming, guest experiences, staffing, and on-site execution. Partners with creative, product, marketing, and business development teams to connect events to business goals. Oversees multi-city activations, VIP experiences, co-branded events, community programming, performance reporting, and repeatable event processes. Requires international travel of up to 20%.

Leads end-to-end architecture for enterprise data, analytics, and AI solutions in a Microsoft-first environment. Translates business requirements into secure, scalable designs and guides prototyping, implementation, architecture reviews, troubleshooting, governance, and production readiness. Requires deep hands-on experience with Azure data platforms, Power BI, enterprise security, Azure OpenAI, and retrieval-augmented generation patterns.

Develop and maintain scalable, fault-tolerant backend services for a high-load gaming platform. Improve performance, reliability, and system architecture; integrate external APIs; optimize existing systems; participate in technical decisions, code reviews, and engineering best practices; and produce clear technical documentation.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

Designs and delivers production credit analytics and machine learning platforms for regulated financial-services clients. Responsibilities include architecture, Python and SQL development, reproducible ML workflows, MLOps, data quality, model governance, Snowflake application reliability, monitoring, access control, and technical leadership. The role works directly with clients and modelling specialists to productionize credit-risk models, support multiple portfolios, and evaluate responsible uses of LLM-assisted analytics.

Lead the strategy and roadmap for Wrike’s AI Platform and Ecosystem, including MCP, Skills, and GraphQL. Direct the core MCP team, establish standards for agent-facing tools, guide GraphQL product evolution, and manage plugin distribution across AI marketplaces. Partner with engineering, architecture, security, customers, and product teams to improve reliability, governance, permissions, documentation, developer experience, and agent workflows. Use customer research, adoption data, experiments, and ecosystem feedback to prioritize outcomes.