Top Tech Jobs & Startup Jobs in Madrid

Lead and own Agent0: co-own roadmap with Product, hire and grow a senior AI engineering team, drive delivery of production-grade agentic AI, set evaluation and monitoring standards, prototype innovations, and provide thought leadership on AI production excellence.

Design and implement execution primitives for AI/agent workflows in Kestra's Java core, build and maintain plugins to connect LLM providers and agent frameworks, convert agent use cases into reusable blueprints with product, and ensure AI executions are observable, debuggable, correct, and reliable.

Build end-to-end AI features and prototypes across backend and frontend, prototype AI agent use cases, create UI/blueprints/examples to make AI workflows usable, and ship features quickly in collaboration with product and backend teams.

Own AI workflows product: discover and validate AI use cases with customers, define roadmap and specs, create reusable blueprints with engineering, and prioritize what not to build.

Drive and standardize installation procedures and best-known methods for AGS products. Coordinate certification templates, I&W spending, CE productivity analysis, and design-for-installation. Lead adoption of digital tools and AI for predictive planning and quality. Partner with Quality & Reliability, Engineering, and Manufacturing to resolve issues, participate in build & test, and manage CAPA and productivity improvements.

Lead design and delivery of leadership, manager, and talent development programs at a scaling AI company. Partner with HRBPs and senior leaders to build onboarding, succession, high-potential, and manager enablement frameworks from the ground up, balancing strategy and execution and driving organizational capability.

Lead the European Strategic Accounts portfolio for pure player key accounts, driving sales, margin, and profitability. Translate sell-through and market insights into assortment, inventory, and in-season actions. Own seasonal Go-To-Market processes and collaborate cross-functionally (Sales, Planning, Supply Chain, Marketing). Build, develop, and inspire a high-performing team while ensuring operational efficiency and data-driven decision making.

Lead design and delivery of reliability and platform engineering work: operate and scale Kubernetes clusters, build cloud infrastructure, implement IaC, define SLO/SLI/error budgets, improve observability, automate CI/CD, embed AI-driven workflows, mentor engineers, collaborate with Security, and participate in incident response and on-call rotations.

Execute outbound prospecting to generate qualified meetings and pipeline within target enterprise accounts. Manage account lists, qualify marketing leads, maintain high daily activity (calls, email, LinkedIn), track activity in CRM, and collaborate with Field Sales and Marketing while staying current on product, industry, and competitors.

Design, build, and operate high-frequency, event-driven data pipelines into Snowflake; implement reverse ETL; model data with dbt; deploy cloud infra as code; monitor and improve production reliability, latency, quality, and cost; mentor teammates and establish data engineering standards.

Lead data science projects end-to-end: define high-impact problems, build and productionize models (recommendations, uplift, forecasting), own experimentation and measurement, operate reliable pipelines, and mentor the team to drive business metric improvements.

Provide phone and email support to beneficiaries and healthcare professionals, explaining policy coverage, reimbursements, and administrative procedures. Manage contract and claims administration including registering/canceling contracts, monitoring payments, entering reimbursements, preparing cost estimates, issuing guarantees, and updating beneficiary records. Ensure high-quality, timely responses and meet service, quality, and volume objectives. No sales prospecting required.

Lead and scale the global Procure-to-Pay function across NA and Europe, overseeing vendor onboarding, purchasing, invoice processing, payments, month-end AP close, internal controls, NetSuite P2P workflows, automation, stakeholder partnerships, audits, and a distributed Finance Operations team.