Top Tech Jobs & Startup Jobs in Amsterdam

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.

Drives AI marketing strategy and transformation for enterprise customers. Owns AI Decisioning use cases from discovery through launch and expansion, leads customer design sessions, documents requirements, manages technical projects, mitigates risks, builds stakeholder relationships, and identifies campaigns or optimizations that improve outcomes. Partners closely with engineers, product teams, marketers, executives, and IT stakeholders while contributing to AI Decisioning product strategy.

Develop and architect features for Malwarebytes Browser Guard, serving millions of users. Write high-quality, tested code; design integrations; collaborate with Product, UX, and QA; review code; mentor engineers; and support delivery of the product roadmap. The role emphasizes React, JavaScript/TypeScript, Go, debugging, system architecture, AI workflows, user-centric design, and strong communication.

Design and deploy AI microservices and LLM-powered applications using Python, REST/gRPC, Docker, and Kubernetes. Build RAG, hybrid search, agent, fine-tuning, quantization, evaluation, and prompt-guardrail systems. Monitor model quality, latency, cost, and security while integrating databases and SIEM/SOC platforms. Establish MLOps, testing, observability, and compliance standards for high-security public-safety environments. Collaborate with security teams on CJIS and FedRAMP audits, with optional travel to Japan and the United States.

Leads a team of 5–6 Sales Engineers across Benelux, France, and the Nordics. Provides hands-on support for strategic deals, technical demos, discovery calls, RFPs, events, lead generation, thought leadership, customer success upsells, and competitive analysis. Coaches team members, prioritizes activities, manages stakeholders, supports market penetration, and connects AI capabilities to customer requirements, experience, and ROI.

Lead and grow a team of six Account Executives focused on German law firms. Drive commercial execution, recruit and coach sales talent, support field selling, build GTM playbooks, collaborate cross-functionally, and commute flexibly between Germany and Paris to meet business needs.

Drive revenue growth and territory expansion across the UK and Western Europe. Own the complete enterprise sales cycle, from prospecting and qualification through presentations, negotiation, and close. Build territory plans, develop partnerships, manage pipelines and forecasts, and identify cross-sell opportunities. Engage public safety and government stakeholders, collaborate with Marketing, Solutions Engineering, Product, and Customer Success, and represent Versaterm at regional events. International travel of 40–60% is required.

Lead enterprise customer onboarding and SaaS implementations, translating business requirements into system designs and guiding projects through launch milestones. Train customers and colleagues, manage executive stakeholders, coordinate cross-functional teams, and drive continuous improvements. The role requires expertise in QMS, CFW software, regulated-industry standards, complex project delivery, change management, and demonstrating customer ROI.

Corti is seeking passionate individuals to join their talent community, shaping the future of healthcare through AI technologies. Opportunities include roles in AI technology, machine learning, and software development, focusing on reducing errors and improving patient outcomes.

Lead research and production development of LLMs and transformer models for machine translation and language quality. Design evaluation frameworks, agentic NLP workflows, training pipelines, and model-provider strategies. Own flagship model programs from data curation through production integration, mentor researchers, review technical work, and collaborate with Product and Engineering to ship capabilities. The role requires deep NLP and LLM expertise, rigorous experimentation, strong Python and ML library skills, and technical leadership.