Top Tech Jobs & Startup Jobs in Valencia

Design, build, and improve ML models and production pipelines; collaborate with engineers, data scientists, and PMs; develop experimentation roadmaps; set up reproducible environments; monitor and maintain production models; document models and processes; propose and apply new AI/ML solutions.

Build and maintain trusted domain models from raw data to semantic layer. Define analytics engineering standards, extend dbt/warehouse and semantic tooling, integrate new data sources, partner cross-functionally, and deliver models that power commercial, financial, risk, and operational decisions.

Design app-store assets (icons, screenshots, banners, videos), ad creatives and branding for mobile apps. Collaborate with Product, Marketing, and Content to produce in-app graphics, logos, and style guides to boost downloads, conversion, and user engagement. Use AI creative tools and support product launches and growth.

Own product areas as the client-facing interface: identify and validate customer problems, collaborate across teams, and drive commercial success. Learn from seniors, take responsibility for tasks, and grow quickly toward senior-level product management.

Manage and scale revenue operations across Sales, Finance, Customer Success, and Partnerships. Own CRM administration, sales compensation, MRR reporting, dashboards, enablement training, process automation, and cross-functional operational initiatives to improve efficiency and revenue visibility.

Build and ship production features across a TypeScript stack, owning backend services, APIs, integrations, and serverless AWS infrastructure. Work directly with enterprise customers to translate needs into maintainable product features, contribute to frontend with Next.js, and use AI coding agents while ensuring code quality and reliability. Shape engineering practices and scale the platform.

Support lead generation and prospect research across European markets; generate outbound opportunities via email, LinkedIn, and calls; assist conference and account management activities; manage CRM, reporting and proposals; progress self-generated deals with coaching; learn enterprise and transactional sales approaches while sharing market feedback to improve product and commercial strategy.

Review and validate text transcripts for accuracy, completeness, and linguistic consistency across multiple languages. Follow project-specific quality guidelines, complete required training and assessments, and work independently to maintain high transcription standards.

Lead and execute global media and offline campaign actions, build media relationships, draft messaging (releases/op-eds), support logistics and on-the-ground campaign delivery, monitor events for opportunities, and coordinate legal and partner engagement to convert petitions into impactful outcomes.

Design, build, and own scalable data platforms across Azure, AWS, and Snowflake. Architect warehouses, semantic layers, ELT/ETL pipelines, and AI/ML data infrastructure (feature stores, vector DBs, RAG/LLM-ready). Lead standards for modeling, observability, CI/CD, automation, governance, and mentor teams while partnering cross-functionally to drive data strategy.