Top Remote Jobs in Barcelona

Hunt and close new enterprise and mid-market B2B SaaS opportunities in Spain for tax and compliance solutions. Build pipeline, run full sales cycles, engage C-level finance/tax/IT stakeholders, develop territory plans, collaborate with pre-sales/consulting/partners, and drive European expansion and revenue targets.

Lead architecture and reliability for cloud infrastructure and Kubernetes, improve observability and IaC, drive resilience and incident response, mentor engineers, and shape the platform roadmap.

Lead EMEA sales for mediasmart's CTV and omnichannel solutions. Build and manage multi-market pipelines, close complex deals, develop agency and advertiser relationships, shape go-to-market messaging with Product and Marketing, represent the company at industry events, and collaborate with Customer Success and AdOps to ensure campaign execution and product adoption.

Design and operate governed, AI-ready data products, semantic layers, and natural-language analytics experiences on Snowflake and/or Databricks. Build ETL/ELT pipelines with dbt, Airflow, Snowpark, and PySpark; deploy Cortex or Genie capabilities; develop RAG applications; implement governance, security, lineage, and metadata controls; optimize platform and LLM costs; and partner with Finance stakeholders on trusted data products.

Own and grow a large agricultural enterprise territory, generating pipeline through relationships, outbound prospecting, events, and field demonstrations. Lead the full sales cycle from discovery and ROI development through negotiation, closing, and account expansion. Build relationships with growers, agronomists, executives, and technical stakeholders; maintain forecasts and CRM accuracy; support pricing and market positioning; and coordinate customer handoffs and deployments.

Lead end-to-end product design for Jimdo's web and mobile SaaS products: conduct user research and testing, create accessible responsive designs and prototypes, collaborate with cross-functional teams, design AI-powered experiences, and contribute to design systems and design operations.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

Lead the company’s ML/AI platform from experimentation through production, including SageMaker training infrastructure, model serving, inference pipelines, MLOps, and Java microservice integrations. Set AI/ML technical direction, develop GenAI and LLM retrieval and agent architectures, establish evaluation and safety guardrails, and partner with data science, DevOps, product, and engineering leadership on scalable ML roadmaps.

Design and implement scalable backend services and APIs with tight AI/LLM integration. Collaborate with product and data science teams to operationalize models, deploy microservices (Docker/Kubernetes), maintain CI/CD and reliability, mentor junior engineers, drive technical best practices, ensure security and compliance, and lead feature development and documentation.