Top Remote Jobs in Amsterdam

Lead Anago’s commercial growth in the Netherlands and United Kingdom, managing a two-person sales team while personally closing deals and developing strategic client relationships. Set commercial direction, expand public-sector revenue, professionalize sales processes, and collaborate with marketing and product teams to translate market insights into product improvements. Use AI tools for prospecting, pipeline analysis, and forecasting, while balancing strategic leadership with hands-on execution.

Research, fine-tune, train, and deploy large language models for real-time commentary and interactive avatar applications. Build RAG systems, agentic workflows, multimodal solutions, and production-grade inference services with monitoring and tool integration. Collaborate with ML engineers, product developers, and domain experts to create reliable, observable AI systems.

Manage day-to-day delivery for a global portfolio of approximately 30 Lean and Operational Excellence applications. Responsibilities include incident, change, release, lifecycle, compliance, budget, vendor, and service-level management. The role leads internal and contracted resources, scopes enhancement demand, coordinates delivery, supports audits, and works with global business stakeholders to execute the application roadmap in a regulated manufacturing environment.

Own end-to-end global customer implementation projects from kickoff through go-live and handover. Build project plans, establish governance, manage RAID logs, milestones, dependencies, risks, and escalations, and coordinate clients and internal teams across countries and time zones. Lead status and governance meetings, drive accountability, ensure go-live readiness, maintain documentation, and support continuous process improvement.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Lead the company’s Physical AI research and engineering function as a hands-on technical leader. Define research priorities, design and train Transformer-based models, establish rigorous offline and real-world evaluations, integrate systems with physical robots, and analyze failures across data, models, hardware, and environments. Build a focused team, guide technical architecture and experiments, translate customer needs into requirements, and deliver measurable improvements through deployed models, benchmarks, evaluation systems, or data products.

Serve as a senior presales technical expert for tax software. Conduct product demonstrations, design tailored solutions, deliver proofs of concept, support proposals and RFPs, enable partners, and advise prospects on tax provision, transfer pricing, and BEPS requirements. Collaborate with sales, prospects, and product teams while providing webinars and videos. The role is remote and requires up to 10% travel.

Design intuitive B2B product experiences from discovery through delivery, including user flows, prototypes, usability testing, and design system contributions. Collaborate with product managers and engineers while also creating marketing, sales, branding, landing page, advertising, and campaign assets. The role is remote, part-time, and contract-based, with a $1,500 monthly retainer plus project-based compensation.

Designs, builds, operates, and scales AWS and Kubernetes infrastructure for a high-availability fintech platform. Responsibilities include performance and capacity engineering, Aurora database optimization, reliability improvements, observability, disaster recovery, infrastructure-as-code, incident response, cost optimization, safe migrations, and AI-assisted operational tooling. The role owns complex initiatives from architecture through production operation, participates in on-call rotations, and partners across engineering, security, compliance, and application teams.

Owns the design and delivery of payment risk systems covering underwriting, exposure, reserves, payout controls, disputes, verification, and transaction monitoring. Leads projects from discovery through rollout and reliability monitoring while balancing fraud protection with organizer experience. Collaborates closely with Product, Payment Operations, and KYC teams, participates in on-call and incident response, mentors engineers, and helps automate manual risk decisions for a growing merchant-of-record platform.