Top Artificial Intelligence Jobs in the Netherlands

Leads regional enterprise sales growth by building and managing a team of Sales Executives, developing go-to-market strategy, setting territories and quotas, forecasting pipeline, and achieving revenue goals. The role requires recruiting, coaching, customer and C-level engagement, partner development, cross-functional collaboration, and retention of existing accounts. Candidates should have extensive enterprise sales leadership experience, strong financial and strategic acumen, CRM forecasting expertise, AI awareness, and knowledge of the retail sector.

Leads the Customer Support technology team responsible for Salesforce Service Cloud, telephony, messaging, workforce management, quality assurance, and AI integrations. Owns the support technology strategy and roadmap, guides architecture and integrations, manages releases and delivery practices, develops technical staff, partners with global stakeholders, and establishes KPIs for continuous improvement.

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.

As a Senior AI Research Engineer, you will drive Adyen's AI strategy, build production-grade applications, optimize AI interactions in finance, mentor teams, and engage with the AI community.

Design, deploy, and optimize agentic AI workflows for enterprise customers. Lead technical implementations from scoping through adoption, integrating APIs, data sources, and business systems. Serve as the primary technical customer partner, coordinate internal engineering and product teams, define requirements and success metrics, and manage delivery roadmaps. Build reliable prompts, evaluations, orchestration, and human-in-the-loop safeguards while monitoring production accuracy, cost, and latency.

Conduct foundational research on latent space models for voice AI, including neural audio codecs, generative speech models, interpretable embeddings, synthetic audio generation, multimodal speech-to-speech systems, and hardware-efficient training and inference. The role requires mathematical rigor, algorithmic innovation, scalable data pipelines, systems optimization, and controlled experimentation to advance speech and audio foundation models.

Develop technology strategies and roadmaps for strategic Dutch central government accounts. Advise senior stakeholders on cloud, AI, security, digital sovereignty, and data protection. Coordinate Microsoft teams and partners, guide digital transformation, manage technical account planning, and identify technology opportunities and risks. Build trusted relationships with CIOs, CTOs, and other government technology leaders while aligning Microsoft platforms with public-sector priorities.

Lead Adyen’s global in-person payments product strategy, overseeing hardware, software, payments, loyalty, and AI/ML initiatives. Build and scale a world-class product organization, align engineering and cross-functional partners, define measurable roadmaps, and engage strategic enterprise customers. The role requires executive-level product leadership, deep technical fluency, hardware-software experience, payments expertise, and experience delivering AI-powered products. It is based in Amsterdam and is office-first.

Build scalable software, data pipelines, and AI solutions for vegetable R&D analytics. Integrate scientific data, models, and workflows into intuitive applications; deploy and monitor production systems in cloud environments; collaborate with scientists and analytics teams; and evaluate agentic AI and automation responsibly. Ensure solutions are explainable, reliable, scientifically valid, and compliant with governance and security standards.

Oversee sales operations planning and execution, using AI, analytics, and automation to monitor pipelines, quotas, segmentation, KPIs, and sales performance. Partner with stakeholders across regions to improve processes, reporting, productivity, and business outcomes. Identify performance gaps, recommend corrective actions, drive standardized tools and processes, and enable sales teams through change management, training, and stakeholder engagement.

Leads Signify’s global trade compliance strategy across export controls, sanctions, customs, dangerous goods, and international logistics. Establishes governance, policies, processes, controls, and risk frameworks across regions; manages compliance specialists; advises senior stakeholders; translates regulatory changes into business solutions; and drives transformation through SAP S/4HANA, automation, analytics, and AI. Partners with Supply Chain, Legal, Tax, Finance, Logistics, IT, Sales, brokers, advisors, and authorities.

Own the strategy, roadmap, and measurable outcomes for Catawiki’s search, ranking, recommendations, and personalization products. Lead cross-functional initiatives from discovery through experimentation and scale, using customer research, behavioral data, AI, machine learning, and A/B testing to improve relevance, engagement, and buyer conversion. Partner with engineering, design, data science, marketing, and commercial teams while communicating strategy and results to senior stakeholders.

Design, implement, and optimize scalable AI software solutions. Research and integrate open-source AI models into modular components and multi-model pipelines. Develop and maintain Python software, document technical decisions, and perform unit and integration testing. Diagnose defects, verify system behavior, and support AI model evaluation, accuracy measurement, and regression detection.

Own a portfolio of audit-focused B2B SaaS accounts, driving onboarding, adoption, health monitoring, success planning, QBRs, renewals, and expansion. Use audit expertise to advise stakeholders, design workflow-based enablement, communicate ROI, identify growth opportunities, and provide audit insights to Product, Sales, and Solutions Engineering. Maintain accurate portfolio data and contribute audit knowledge to the broader Customer Success team.

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.

Develop a pro-human strategy for AI emphasizing controllable, verifiable, human-centered systems. Track efficient models, open-source AI, robotics, and industrial applications; engage international policymakers and stakeholders; build coalitions; and translate technical strategy into policy recommendations. The role requires strong AI technical fluency, policy engagement experience outside the US and China, excellent communication, stakeholder management, and independent strategic leadership.

Supports innovation projects, legal technology pilots, and implementation initiatives within a law and tax firm. Coordinates planning, stakeholder alignment, progress tracking, evaluation, user feedback, training, and adoption activities. Analyzes business needs, processes, requirements, and success criteria, translating insights into recommendations. Collaborates with legal and business teams while monitoring developments in legal technology, AI, innovation, and digital transformation.

Develop and optimize scalable AI software solutions using Python. Integrate and evaluate open-source AI models into modular components, applications, and processing pipelines. Contribute to architecture, testing, troubleshooting, documentation, and technical design while collaborating with international teams. The role requires expertise in AI software development, Python, APIs, microservices, Docker, software architecture, and Agile methodologies.

Supports the design, development, integration, validation, deployment, and monitoring of AI and data science solutions for ESA space programs. Responsibilities include data collection and preprocessing, exploratory analysis, predictive modeling, machine learning, image processing, anomaly detection, data visualization, and use of HPC-based information factory environments. The role also contributes to AI standards, technology development plans, knowledge sharing, and digital innovation initiatives.

Design, implement, test, and improve AI solutions for legal and business teams. Translate user and business needs into scalable workflows, solution designs, and knowledge structures. Collaborate with legal, technical, and business stakeholders, manage AI initiatives, gather feedback and performance insights, support adoption, and identify opportunities to expand the firm's AI portfolio.

Support the configuration, optimization, testing, rollout, and adoption of AI solutions across legal and business teams. Translate user needs into practical AI improvements, gather feedback and usage insights, create documentation and training materials, monitor solution performance, and collaborate with engineers, IT colleagues, vendors, and business stakeholders on continuous improvement.

Own product strategy, roadmap, discovery, execution, launches, and performance metrics for manufacturing-focused products. Collaborate across product, firmware, cloud, UX, engineering, and business teams to translate customer and shop-floor needs into impactful solutions. Focus areas include production insights or hardware, firmware, data capture, and IoT connectivity. The role requires strong product management, customer discovery, analytics, communication, and cross-functional leadership skills, with relocation to Copenhagen and eligibility for a Danish work permit.

Designs scalable ServiceNow architectures, roadmaps, integrations, governance frameworks, and platform strategies across ITSM, HRSD, SPM, IRM, CMDB, and CSM. Advises enterprise stakeholders, leads complex transformation programs, supports presales estimation and scoping, improves platform health, reduces technical debt, and identifies AI and automation opportunities. The role is a four-month engagement based in Amsterdam.

Lead Datadog’s EMEA Field Enablement team, managing and developing enablement managers while setting regional strategy and quality standards. Partner with Sales, SDR, and Customer Success leadership to identify performance gaps, deliver targeted programs, and measure impact. Own workforce planning, hiring, coaching, stakeholder alignment, and global enablement collaboration across EMEA. Travel approximately 30% across the region.

Senior Consultant delivering management consulting projects for insurance clients, focusing on strategic positioning, new business models, organizational redesign, business re-engineering, and operational excellence. The role also supports consulting offer development and business development initiatives, with an emphasis on data and AI opportunities. Candidates need consulting experience, insurance-sector knowledge, strong analytical and communication skills, and Dutch and English fluency.