Top Artificial Intelligence Jobs in Valencia

Drive new business and revenue growth across the Nordic territory by generating pipeline, managing complex SaaS sales cycles, forecasting accurately, presenting solutions, negotiating with technical and executive stakeholders, and closing strategic accounts. The role also involves account relationship management, collaboration with marketing, product, customer success, and channel teams, Salesforce data integrity, and use of structured sales methodologies such as MEDDICC.

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.

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.

Graduate engineering opportunities at Analog Devices in Valencia, Spain, supporting semiconductor and mixed-signal technology development. Graduates may work in IC design, embedded software, design verification, RF design, machine learning, process engineering, testing, packaging, quality, reliability, research, and supply chain. The program offers rotation opportunities, learning access, cutting-edge facilities, and collaboration across hardware and software teams. Positions begin recruiting from September 2026 on a rolling basis.

Senior Commercial Counsel will negotiate enterprise sales, partnership, vendor, services, data licensing, and marketing agreements. The role advises on privacy, intellectual property, data security, AI law, and cross-border data transfers across the UK/EU and APAC. Responsibilities include building scalable legal processes, supporting sales and business development, managing international regulatory issues, and translating evolving AI legal developments into practical guidance for a fast-growing company.

Own post-deployment value, adoption, and expansion for strategic Private Cloud AI customers. Advise customers on enterprise AI, GenAI, agentic AI architectures, roadmaps, use cases, and platform scaling. Lead value reviews, workshops, and onsite engagements; identify expansion opportunities; build technical and commercial value cases; and collaborate with Sales, Product, Engineering, and Support. Develop reusable global playbooks, governance, metrics, and customer engagement processes.

Develop AI and computer vision solutions from prototypes into reliable, maintainable software. Responsibilities include experimenting with models and techniques, solving ambiguous technical problems, building and testing applications, applying software engineering practices, productionizing solutions, collaborating in Agile teams, documenting technical decisions, and sharing knowledge. The role focuses on Python, PyTorch, machine learning, computer vision tasks, and moving beyond notebooks toward deployable products.

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. Run experiments across prompts, models, caching, and routing to improve quality, latency, and cost. Partner with AI Core engineering and remain hands-on in Ruby on Rails and Python development.

Design, develop, train, deploy, optimize, and monitor production AI and machine learning solutions. Responsibilities include data cleaning and transformation, scalable ML pipeline development, MLOps automation, model testing, infrastructure deployment, and applied work in NLP and computer vision. The role involves end-to-end software product development, cloud platforms such as Azure, agile collaboration, and delivering customized AI solutions for clients.

Leads Cast AI’s global marketing strategy, organization, budget, and operating model. Owns positioning, demand generation, pipeline, customer acquisition, product adoption, marketing efficiency, and revenue contribution. Builds an accountable, AI-enabled marketing organization spanning product marketing, digital, content, field, partner, lifecycle, customer, and marketing operations. Partners closely with executives, Product, Sales, Customer Success, and Revenue Operations across global markets.

Supports immigration matters by preparing and filing petitions, assisting with U.S. talent visa processes, researching immigration laws and regulations, and collaborating with cross-functional teams on legal compliance. The role suits an organized, adaptable paralegal with immigration documentation experience who is interested in contributing to an AI-driven startup law firm serving international teams.

Work closely with company founders to execute go-to-market strategies, improve operational processes, grow client and partner communities, and implement AI-driven solutions. The role involves managing go-to-market pipelines end to end, coordinating cross-functional initiatives, and adapting within a fast-paced startup environment.

Owns full-cycle recruiting for commercial, operational, and technical roles across global markets. Responsibilities include sourcing passive candidates, building pipelines for hard-to-fill positions, advising hiring leaders, coordinating interviews and offers, maintaining accurate Greenhouse data, and improving hiring processes through systems thinking, data, AI, and automation.

Build BLP’s core software across infrastructure, backend, machine learning, and product extension platforms. Responsibilities include operating secure and observable cloud infrastructure, developing performant distributed systems, applying AI to business problems, and enabling customer process automation. The role emphasizes formal reasoning, correctness by construction, maintainable systems, type systems, and functional programming. Work is available onsite in Zurich or remotely within Europe.

Conduct research, market sizing, forecasting, competitive analysis, and thought leadership on enterprise AI services. Develop actionable insights for technology providers and senior executives through published research, presentations, conferences, and client engagements. Assess market trends, demand drivers, customer behavior, and growth opportunities while advising clients, supporting sales, reviewing content, mentoring analysts, and improving research processes.

Manage influencer campaigns end to end across multiple brands and markets. Responsibilities include creator casting, briefing, negotiation, contracting, campaign timelines, budgets, approvals, client communications, performance tracking, reporting, and optimization. The role requires using CPV and campaign KPIs to manage commercial outcomes, ensuring content meets brand and compliance requirements, and operating as a power user of Kyra’s platform and AI tools.

Own and deliver product features across trading, investing, crypto, accounts, and payments. Responsibilities include prioritizing features, interpreting regulations and API documentation, writing detailed specifications, coordinating with Engineering, Design, Legal, Compliance, and Operations, leading testing and launches, and monitoring performance after release. Candidates must have shipped products or features, understand technical systems and data flows, query and explain product data, and regularly use AI in product work.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

Leads social media and content strategy across markets, owning editorial planning, content distribution, creator programs, community management, and performance analytics. Builds and operates AI-enabled content workflows, coordinates agencies and creators, and turns audience and channel data into measurable demand-generation decisions. Partners with brand, product marketing, performance, and country teams to scale platform-native content across TikTok, YouTube, Meta, and LinkedIn.

Build agentic generative AI workflows using RAG, vector databases, and LLM APIs to automate cloud configuration baselines, drift detection, compliance analysis, and remediation. Develop and validate Terraform modules, Rego policies, and Regula tests for CI/CD pipelines. Collaborate with globally distributed engineering teams on cloud security automation across AWS, Azure, and GCP.

Designs secure, scalable, governed Generative AI and agentic architectures for enterprise environments. Responsibilities include defining reference architectures, selecting AI patterns, implementing RAG and vector retrieval, securing data and system access, establishing evaluation and observability frameworks, integrating AI with APIs, backend systems and cloud platforms, and guiding technical stakeholders and development teams toward production-ready solutions.

Designs and owns global digital marketing strategies across acquisition and customer expansion. Responsibilities include campaign architecture, paid media, ABM, nurture, conversion optimization, regional localization, budget allocation, performance analysis, marketing technology improvements, data hygiene, and AI-enabled campaign operations. The role makes commercial trade-off decisions to maximize pipeline and expansion revenue, collaborates with sales and creative teams, and defines account-level measurement frameworks.

Leads the GTM Systems function, owning the commercial technology stack, AI operating model, vendor lifecycle, systems roadmap, and adoption strategy. Manages five senior individual contributors across Salesforce, marketing/BDR, customer success systems, and web operations. Partners with executive stakeholders to identify automation opportunities, build reliable AI agents, measure business impact, and drive cross-functional change across the revenue organization.