Top Remote Jobs in Madrid

Own a high-volume inbound sales pipeline from discovery to close. Run frequent discovery calls with C-level/Director prospects, qualify needs, establish urgency, close deals, and hand off onboarding. Maintain CRM hygiene, collaborate with Support/Ops, follow a structured playbook, and continuously improve closing performance.

Own inbound sales cycle from discovery to close for U.S. businesses. Run high-volume discovery calls, manage pipeline in HubSpot, hit quota, collaborate with Support/Ops, and onboard clients while continuously improving close rates.

Own the full inbound sales cycle for SMB/Mid-Market clients: run 15+ discovery calls/week with exec-level prospects, qualify and close deals, onboard clients, maintain HubSpot pipeline, collaborate with Sales/Support/Ops, and continuously iterate to hit quota and grow revenue.

Own the end-to-end integration journey for developer customers and SIs, improving SDKs, tracking, validation tooling, and docs to reduce time-to-value, defects, and escalations while partnering cross-functionally and defining CDX+CDI KPIs.

Design, build, deploy, and maintain high-load, real-time ML-based ranking services and a Ranking Platform. Improve performance, feature delivery (feature store), CI/CD, and collaborate with DS, MLEs, and stakeholders.

Provide first-level technical support and onboarding for e-commerce customers integrating Constructor's platform. Guide API and library integration, troubleshoot issues, configure product index settings, communicate between customers and internal teams, and document processes to improve onboarding and integration resources.

Open application for a remote, high-ownership role at a B2B agency focused on AI-era organic search. Responsibilities include running experiments, optimising content for LLMs and AI visibility, documenting learnings, using proprietary tools, collaborating async with clients and teammates, and improving processes to drive measurable search and content outcomes.

Own design and front-end implementation of PandaDoc's API and integrations, partner with product and research to set strategy, prototype AI-native patterns, build production-grade React components, and establish the Design Engineer function for the Embedded Agreements track.

Deploy, operate, and scale Kubernetes-based microservices across cloud and on-prem; run GPU ML inference services; build Docker images and Helm charts; design CI/CD pipelines; implement IaC with Terraform and Ansible; build observability (Grafana/Prometheus/ELK/Loki); ensure SOC 2 compliance and secure cluster access.

Lead SRE responsible for reliability, observability, incident management, SLIs/SLOs, dashboards, load testing, capacity planning, on-call rotations, Kubernetes-based infra across cloud and on-prem, CI/CD and IaC automation, and mentoring teammates.

Design, modernize, and operate large-scale VoIP telephony infrastructure (FreeSWITCH/Asterisk/Kamailio). Integrate carriers, build call handling for inbound/outbound, optimize costs and resources, develop integrations with AI, ensure reliability/scalability, and participate in 2nd/3rd-level support and on-call rotation.

Design and maintain dashboards and real-time operational views for Customer Success and Support; produce executive reports on trends, churn, and ROI; implement AI-driven analytics (anomaly detection, predictive churn, sentiment analysis); ensure data accuracy and pipeline integrations with CRM/support tools; perform deep-dive analyses and present recommendations to global stakeholders.

Design, build, and scale ETL/ELT and real-time data pipelines for AI workloads (RAG, fine-tuning, batch inference). Transform unstructured data into vectorized formats, manage feature stores and vector databases, enforce data quality/governance, integrate event systems (Kafka), and collaborate with ML and engineering teams.

Lead end-to-end development and integration of AI features (LLMs/ML) into web/mobile apps and APIs. Design AI-first UX, craft and optimize system prompts, build agentic workflows (LangChain/CrewAI/AutoGen), implement error-handling and hybrid cloud/on-prem deployments, and collaborate within product squads using Agile/Scrum.

Drive performance and scale characterization for NVIDIA DGX Cloud across Kubernetes and NVIDIA components. Build automated tests, monitoring, and CI/CD for large-scale GPU-accelerated workloads. Triage and resolve distributed systems performance issues, collaborate with researchers and upstream open-source communities, and present findings at conferences.

Support global procurement by delivering analytics, dashboards, and should-cost models; track savings and value delivery; enable data-driven sourcing strategies and business cases; maintain reporting frameworks; support digital procurement tools and partner with Procurement, Finance, and Supply Chain to drive performance and continuous improvement.

Lead design and implementation of scalable, real-time data infrastructure. Build and optimize production-grade streaming pipelines, employ spec-driven development and agentic AI workflows, implement testing/monitoring, take ownership of systems, and mentor junior engineers.