Top Tech Jobs & Startup Jobs in Madrid

Drive enterprise sales growth for unstructured data infrastructure across AI, analytics, cyber resilience, recovery, and file/object modernization. Create pipeline, identify new use cases, lead consultative discovery, engage executive and technical stakeholders, translate technology into business value, develop competitive displacement strategies, and close complex opportunities. Partner with account teams, architects, technology partners, marketing, and product teams while representing HPE in customer and industry engagements.

Lead end-to-end product design for Circle’s AI-powered Discover marketplace. Own design direction, discovery and ranking experiences, trust signals, creator and consumer workflows, rapid AI-assisted prototyping, and shipped product outcomes. Mentor designers, collaborate closely with engineers and product leadership, and shape a two-sided marketplace experience in an ambiguous environment.

Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.

Leads GitLab’s distributed EMEA Deal Desk team and owns regional quoting, pricing, order management, and sales-booking operations. The role manages hiring and enablement, handles complex transactions and escalations, advises Sales leadership on pricing and commercial strategy, and ensures alignment with global policies. It also develops executive insights on deal quality, discounts, cycle times, exceptions, and pricing effectiveness while coordinating downstream billing, fulfillment, revenue recognition, and customer execution.

Analyze large-scale security telemetry, threat intelligence, endpoint, and detection data to identify trends, anomalies, and emerging threats. Build dashboards, reports, data pipelines, and KPI frameworks using SQL, Python, LogScale, or similar tools. Collaborate with data engineering, product, and engineering teams to ensure data quality and translate complex findings into actionable insights for technical and non-technical stakeholders.

Leads the strategy, delivery, scaling, governance, and adoption of agentic AI products across Pfizer’s regulated manufacturing network. Owns product roadmaps, agent lifecycles, evaluation frameworks, responsible AI controls, value realization, and stakeholder engagement. Partners with manufacturing, engineering, data, quality, cybersecurity, and site leadership teams to transform operational knowledge into intelligent digital products and scale successful capabilities globally.

Serve as a strategic People Business Partner for Data and Product leaders, owning organizational design, workforce planning, talent reviews, performance management, change management, and employee relations. Advise leaders on complex performance cases, exits, investigations, and employment matters across multiple EMEA jurisdictions. Drive people processes, partner with Centers of Excellence, support employee relations initiatives, and use AI-enabled tools to improve productivity and scalability in a fully remote environment.

Own strategy, roadmap, and execution for Enverus Trading & Risk products across EMEA. Gather customer and market feedback, prioritize capabilities, conduct competitive analysis, and partner with engineering, sales, marketing, and customers. Lead product launches, demos, training, advisory boards, and commercial initiatives. Serve as a subject matter expert in commodities, market risk, forward curves, trade optimization, compliance workflows, and enterprise market-data distribution.

Build and maintain dbt models and finance datasets supporting accounting reporting and automation. Improve data pipeline reliability through testing, alerting, documentation, and runbooks; troubleshoot production issues; optimize Snowflake and dbt performance and costs; maintain lineage; and collaborate with engineering and business stakeholders using GitHub-based development workflows.

Designs, develops, deploys, and operates SailPoint IdentityIQ solutions across enterprise environments. Responsibilities include IAM workflows, connectors, role engineering, access certifications, Joiner-Mover-Leaver automation, privileged access governance, platform troubleshooting, integrations, audit readiness, and compliance with security standards. The role partners with application owners, HR, IT security, and business teams while reporting platform maturity KPIs.