Top Remote Jobs in Madrid

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead the design for a critical product area, collaborating with teams to craft effective user experiences while leveraging AI tools for prototyping and testing. Influence product strategy and uphold design standards while mentoring junior designers.

You will lead engineering efforts for backend system development, collaborate with global teams, ensure operational availability, and develop talent on your team.

The Senior Account Director will drive growth by prospecting and closing opportunities within strategic accounts, engaging with C-level executives, and fostering trusted relationships to expand Coupa's market presence and revenue.

Smartling is seeking talented individuals to join their team and invites candidates to submit their resumes for future opportunities.

Serve as Finance's single DRI for product launches with financial impact: evaluate new trade strategies, document fund flows and accounting treatments, design and implement financial controls, coordinate cross-functional stakeholders (accounting, tax, treasury, legal, operations), and partner with IT/vendors to automate and scale workflows for audit and regulatory readiness.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Manage a Professional Services team delivering SailPoint solutions: oversee engagement scoping, delivery, profitability, resourcing, escalations, client relationships, and staff development while partnering with Sales and Customer Success.

The Account Executive will build a sales pipeline in the German markets, work with cross-functional teams, and maintain stakeholder relationships to drive sales and manage accounts for Deepgram's voice AI platform.

Design and build a canonical knowledge graph and ingestion framework: implement connectors, parsers, schema-to-model transforms, code generators, and entity-resolution systems. Lead cross-functional teams, ensure data quality and validation across a multi-backend graph architecture, mentor engineers and taxonomists, and support broader CTO organization with briefings and product demonstrations.