Top Artificial Intelligence Jobs in the Netherlands

Individual contributor responsible for managing ServiceNow’s strategic Wipro partnership, including joint business planning, go-to-market execution, pipeline development, co-selling, partner enablement, governance, and performance tracking. The role collaborates with sales, product, marketing, enablement, technical advisors, and customer success teams to expand revenue, activate partner teams, pursue new logos, and drive AI-enabled, scalable execution.

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.

Serves as the technical authority for a GitLab product group across complex enterprise pre-sales opportunities. Leads technical discovery, architecture, workshops, demonstrations, Proof of Value evaluations, executive briefings, competitive positioning, and customer handoffs. Builds reference architectures, demo environments, playbooks, battlecards, and enablement content while mentoring Account Solutions Architects. Partners with Product, Engineering, Marketing, and post-sales teams to deliver customer feedback, adoption, and production outcomes.

Build and operate secure, scalable multi-cloud platform infrastructure supporting AI and agentic AI workloads. Develop Terraform modules, CI/CD pipelines, GitOps workflows, Kubernetes platforms, autoscaling, observability, access controls, and self-healing automation across AWS, Azure, and GCP. Maintain platform services, enforce compliance guardrails, improve reliability and cost efficiency, contribute to architecture, and mentor engineering teams in regulated environments.

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.

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.

Provides privacy and data protection legal advice across the EMEA region. Responsibilities include interpreting GDPR and related regulations, negotiating data processing and transfer agreements, conducting privacy and transfer impact assessments, advising on digital health and AI initiatives, supporting incident investigations, and developing global privacy governance resources. The role collaborates with Legal, IT, Security, HR, Clinical, R&D, and technology teams in a global healthcare environment.

Conducts AI and data science research in healthcare, analyzing wearable sensor, neuroimaging, physiological, behavioral, and clinical data. Develops and validates machine learning models for digital biomarkers, health endpoints, disease progression, severity prediction, and disease subtype discovery. Requires advanced Python or R, predictive modeling, statistical analysis, large-dataset expertise, and current PhD study in a quantitative discipline.

Supports clients across industries with AI and data strategy, operating model design, investment and value cases, and AI product roadmaps. The role involves analyzing business opportunities, advising on artificial intelligence and machine learning applications, presenting insights, building client relationships, and contributing to innovation and internal initiatives. Candidates should have a relevant master’s degree, strong analytical and communication skills, and fluency in Dutch and English.

Manages end-to-end investigator and clinical site payments, including payment processing, invoice review, reconciliations, accruals, forecasting, reporting, risk management, and issue resolution. The role reviews data from study budgets, EDC, and CTMS systems; improves payment processes and systems; evaluates AI opportunities; and collaborates with global internal and external stakeholders.

Leads Centrient’s global procurement function and transformation agenda, including procurement strategy, strategic sourcing, category management, supplier relationships, governance, risk management, digital enablement, and enterprise change. Advises the CFO and senior leadership on spend, supplier strategy, resilience, and value creation. Builds high-performing teams, drives sustainable savings and operational improvements, and strengthens supply continuity across regions, categories, and business functions.

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.