Top Remote Jobs in Madrid

Manages and grows customer accounts by acquiring new business, expanding existing relationships, increasing sales and margins, managing tenders and quotations, launching products, forecasting sales, maintaining CRM data, and gathering customer and market insights. The role also organizes promotional events and collaborates with clinical sales, product management, customer service, and tender teams.

Leads analytics for operational, financial, and compliance audits within ABB Robotics’ internal audit function. Prepares and validates complex datasets, develops repeatable analytics to identify anomalies and control weaknesses, documents methods and results, validates findings, and communicates insights through dashboards and reports. Supports AI-enabled audit processes and automation. Requires extensive data analytics or data science experience, strong Python and SQL skills, statistical expertise, cloud data platform experience, and the ability to translate audit risks into analytical requirements.

Own new-logo enterprise sales across EMEA, from territory planning and executive prospecting through complex, multi-stakeholder deals and global expansion. Build pipeline independently, lead MEDDPICC-qualified pursuits, develop financially credible business cases, manage pilots and procurement, negotiate commercial terms, and convert initial deployments into multi-site programs. As an early enterprise hire, help establish Factbird’s EMEA enterprise sales playbook for account planning, forecasting, qualification, and expansion.

Lead end-to-end annotation projects: define workflows, coordinate teams (annotators, reviewers, experts), track progress and quality via dashboards, manage launches and phase transitions, pilot tooling and methodology improvements, and build scalable operational systems and documentation to support annotator community and cross-functional alignment.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Guide customers through onboarding, deployment, and optimization of Microsoft cloud, security, endpoint, productivity, identity, data protection, Copilot, and agent-based solutions. Remove deployment barriers, provide consultative technical guidance, coordinate with engineering, partners, and customer success teams, and accelerate adoption and business value. The role also contributes reusable delivery guidance, operational improvements, and product feedback while specializing deeply in Security or Copilot workloads.

Develop privacy, anti-tracking, and phishing protections for Firefox and improve the Gecko browser engine. Build performant, low-latency, maintainable software in C++, JavaScript, and Rust while collaborating asynchronously with a distributed team. The role requires independently scoping and delivering complex features, with emphasis on memory safety, multithreaded architecture, data streams, web privacy, and browser security.

Build and operate Azure platforms using Terraform, hub-and-spoke networking, AKS, containers, and GitOps. Maintain CI/CD pipelines, observability, security baselines, private connectivity, ingress, and infrastructure automation. Support PHP and React application delivery, Docker workflows, shared-environment troubleshooting, architecture reviews, operational risk management, runbooks, and design records. The role requires production Azure experience, Kubernetes operations, networking expertise, and proficiency with Linux, scripting, and CI/CD tools.

Owns end-to-end product and operational analytics for AI-powered and conventional automation features. Responsibilities include experiment design, funnel and adoption analysis, AI output evaluation, hallucination and failure investigation, monitoring, dashboards, and measuring business impact. The role partners with Product, Engineering, Clinical, MedOps, and Legal, using SQL and Python to analyze messy production data and translate findings into decisions.