Top Artificial Intelligence Jobs in Barcelona

Serve as the technical bridge between CrowdStrike and prospective corporate customers across the SEUR region. Partner with Account Executives to acquire new customers, demonstrate endpoint security solutions, conduct proof-of-value engagements, explain security concepts to technical and executive audiences, and identify architecture gaps or opportunities. The role requires cybersecurity expertise, strong communication, fluent English and French, independent work, and collaboration with Sales, Marketing, Support, and Engineering.

Enterprise Account Executive role focused on building new business across EMEA. Responsibilities include developing territory sales strategies, acquiring enterprise customers, exceeding new-logo quotas, managing complex consultative sales cycles, engaging C-level decision-makers, negotiating contracts, partnering with marketing and pre-sales, and developing partner go-to-market strategies. The role requires enterprise SaaS sales experience, technical platform selling expertise, and proficiency with Salesforce, Clari, and MEDDPICC.

Drive enterprise sales growth for unstructured data infrastructure across AI, analytics, cyber resilience, recovery, and file/object modernization. Create pipeline, identify new use cases, lead consultative discovery, engage executive and technical stakeholders, translate technology into business value, develop competitive displacement strategies, and close complex opportunities. Partner with account teams, architects, technology partners, marketing, and product teams while representing HPE in customer and industry engagements.

Acquire new Commercial DACH customers by selling Boomi’s platform solutions for business process, data management, and AI governance. Build territories, generate pipeline, manage account plans, engage C-level stakeholders, collaborate with partners and internal teams, forecast sales, and drive bookings growth. The role requires consultative selling, strategic platform positioning, onsite executive meetings, and tailored solution development.

Generate qualified enterprise sales pipeline in the French region through outbound prospecting, account mapping, contact research, and MEDDPICC-based discovery. Create and execute campaigns, engage target personas, introduce Boomi’s integration solutions, qualify opportunities, and collaborate with Account Executives. Meet monthly sourced-opportunity quotas while developing a career in technology sales.

Leads digital innovation for a major international brand partnership, identifying opportunities, shaping concepts into proposals, defining MVPs, coordinating prototypes, and establishing success metrics. The role connects client strategy with UX, technology, production, and data teams, facilitates workshops, and provides feasibility and ROI recommendations. It also supports client presentations and future product evolution while balancing creative ambition with realistic delivery constraints.

Lead ABB Robotics’ enterprise AI strategy by developing the AI roadmap, prioritizing high-value use cases, establishing governance, and driving adoption across business lines and functions. The role translates emerging AI capabilities into measurable business outcomes, redesigns processes and operating models, connects external innovation to business needs, and builds organizational capabilities for AI-enabled ways of working.

Deliver strategic people and organization consulting across workforce transformation, organizational design, HR transformation, talent, and rewards. Responsibilities include analyzing workforce data, developing business cases, presenting client-ready insights, creating AI-enabled delivery assets, participating in client engagements, and progressively owning project modules. The role includes structured consulting training, coaching, and collaboration with Oliver Wyman on strategic engagements across Europe.

Own the full sales engagement cycle for AI-powered business process solutions. Build executive relationships, identify opportunities, maintain qualified pipeline, develop value propositions, deliver business and technical demos, lead pilots, coordinate account plans, manage renewals, and drive adoption of Dynamics 365, Power Platform, and Copilot. The role requires consultative technology sales expertise, ERP or CRM selling experience, and fluent German with professional English proficiency.

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.

Own the UK territory and quota for strategic hospitality accounts, managing complex, multi-stakeholder SaaS sales cycles from prospecting through close. Responsibilities include building pipeline, applying MEDDPICC, forecasting, selling Lighthouse’s AI platform on business value, identifying expansion opportunities, representing the company at industry events, partnering with Product, and mentoring newer sales representatives.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Design experiments across prompts and models, improve quality, latency, and cost, diagnose agent failures, and partner with AI Core engineering. Manage team priorities while contributing directly to Ruby on Rails and Python code.

Lead the AI Quality engineering team while building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for production AI agents. Responsibilities include measuring agent quality, diagnosing failures, evaluating models, improving cost and latency, managing team priorities, and partnering with AI Core engineering. The role is hands-on and requires production software development experience with complex tool-using AI systems.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for AI agents. Responsibilities include designing CI/CD pipelines and scorers, diagnosing agent failures, evaluating models, optimizing cost and latency, and partnering with AI Core engineering to improve production AI quality. The role also includes team leadership and management.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for production AI agents. The role evaluates models, prompts, tools, and agent behavior while improving quality, latency, and cost. Responsibilities include leading technical direction, managing team priorities, coding, and partnering with AI Core engineering. Experience with production software, LLM agents, evaluation infrastructure, Ruby on Rails, Python, and ML/AI datasets is required.

Lead the AI Quality engineering team while building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Design experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering, manage priorities, and remain hands-on with implementation.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tools, diagnostic systems, datasets, annotation workflows, and experiment frameworks for production AI agents. Responsibilities include measuring agent quality, tracing failures, evaluating models, improving cost and latency, managing team priorities, and partnering with AI Core engineering. The role requires substantial production software experience, AI/ML evaluation expertise, and proficiency or adaptability in Ruby on Rails and Python.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Own the vision, strategy, roadmap, and full lifecycle of a new AI-native clinical research product. Lead cross-functional engineering, design, data science, and commercial teams through influence, validate customer needs, launch products, and drive adoption and commercial outcomes. Apply AI/ML to clinical development and operations while balancing usability, connectivity, regulatory compliance, and data standards. Engage executive stakeholders, enterprise customers, data providers, and standards bodies.

Leads Tether’s global technology expansion strategy, commercial partnerships, market entry, and deployment of AI, decentralized infrastructure, peer-to-peer systems, and digital finance technologies. Builds relationships with enterprise, institutional, and government leaders; originates and closes major partnerships; coordinates product, engineering, legal, regulatory, and implementation teams; and develops scalable expansion playbooks. Oversees global senior teams, talent development, KPIs, execution, and strategic representation. International travel is required.

Own the vision, strategy, roadmap, and full lifecycle of a zero-to-one AI-native product for clinical development and operations. Lead cross-functional engineering, design, data science, and commercial teams without direct reports. Validate customer needs, launch and scale products, define success metrics, and drive adoption and commercial outcomes. Apply AI/ML responsibly within regulated environments while integrating clinical workflows, data standards, and Evinova modules. Engage executives, enterprise customers, partners, and standards bodies to achieve product-market fit.

Manages medium-enterprise accounts across Greece and Malta, building executive relationships, generating pipeline, forecasting revenue, and driving cloud and AI solution adoption. Coordinates Microsoft teams and partners, develops territory plans, manages customer satisfaction and escalations, supports upsell and renewals, and advocates for customer needs. The role requires Greek-language communication and strong sales, negotiation, account management, partner collaboration, and technology expertise.

Develop and maintain production-grade computer vision software for AI-enabled parcel management and automated logistics systems. Responsibilities include processing camera data for real-time decisions, integrating AI models and frameworks, designing scalable architectures, optimizing and deploying solutions, and contributing to technology roadmaps. The role also involves collaboration with product and engineering teams, technical leadership, mentoring junior engineers, and establishing software engineering best practices.

Leads a multinational BDR organization of approximately 18 representatives through team leaders. Owns BDR strategy, playbook development, performance management, metrics, sales technology adoption, process optimization, and cross-functional alignment with Sales, Marketing, and senior leadership. The role combines strategic planning with hands-on operational leadership across European and US markets, driving scalable prospecting, qualification, conversion, and team development.

Supports global procurement activities including sourcing, category management, supplier onboarding, due diligence, risk monitoring, KPI reporting, and process compliance. Develops Power BI dashboards and contributes to AI, automation, and Microsoft Power Platform initiatives across Source-to-Contract and Procure-to-Pay processes. Collaborates with procurement, IT, suppliers, and global stakeholders to improve efficiency, simplify processes, and enhance user experience.