Top Product Manager Jobs in Amsterdam

Lead enterprise product marketing strategy and execution for n8n. Define segmentation, positioning, GTM, and sales enablement; craft messaging for technical and business audiences; run launches and enable Sales, Product, and Customer Success; prioritize high-impact enterprise initiatives while doing hands-on execution.

Own the end-to-end Kotlin-in-IDE experience for the IntelliJ Kotlin plugin: define vision and roadmap, dogfood and prototype features (including AI agents), maintain reference projects, run user interviews, coordinate with compiler and IDE release cycles, and represent the product externally.

Design, build, ship, and own high-scale, user-facing product features across frontend, backend, and data systems. Define problems, scope and prioritize work, collaborate with Product, monitor production usage, debug incidents, improve reliability, review code, and mentor engineers. The role requires strong backend expertise alongside React proficiency and ownership from product discovery through long-term maintenance.

Own product initiatives end to end, from opportunity discovery and AI-assisted prototyping through coding, experimentation, launch, measurement, and iteration. Partner directly with the CTO, designers, and engineers on a large-scale AI companionship web product. Use user behavior data, product metrics, A/B tests, and research to prioritize opportunities and make evidence-based decisions. Work autonomously in a fast-moving remote team, challenge assumptions, remove blockers, and improve user experience.

Own end-to-end product design across conversational AI, character creation, monetization, growth, and interactive experiences. Translate complex challenges into intuitive user experiences, create visual content, prototype with design tools or code, and collaborate closely with Product, Engineering, and leadership. Contribute original ideas, experiment rapidly, and optimize engagement, retention, and conversion. The role requires strong consumer product judgment, technical fluency, communication, visual craft, independent ownership, and comfort with AI and NSFW product experiences.

Own product direction for Soperator, a Slurm-on-Kubernetes control plane for GPU clusters. Drive discovery, design, delivery and adoption; lead customer research; prioritize roadmap and metrics; coordinate across compute, storage, networking, observability and IAM teams; lead open-source strategy and community adoption.

Define and lead the VCS product strategy to evolve version control and code-change workflows into a standalone ecosystem across JetBrains IDEs. Identify workflow gaps, set roadmaps, explore cross-IDE and AI-native review opportunities, align stakeholders, and work with engineering and QA to deliver scalable, platform-friendly solutions while representing the product externally.

Own and optimize end-to-end logistics and fulfillment product processes. Define success metrics, manage product backlogs, synthesize stakeholder feedback, partner with engineering and operations to deliver and launch features, and use data, AI, and automation to drive continuous improvements across global operations.

Lead and deliver assigned projects end-to-end, managing scope, schedule, budget, risks, governance, stakeholders and cross-functional teams to realize business benefits and ensure on-time, on-budget, quality delivery.

Lead and deliver complex projects end-to-end: define scope, schedule, budget and governance; manage multi-workstream teams, stakeholders and dependencies; track costs, benefits and risks; ensure outcomes meet quality and business requirements.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while aligning cross-functional teams across compliance, operations, treasury, finance, and design.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, security, scalability, and failure handling. Integrate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI responsibly with evaluation and safeguards while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own the roadmap, live operations, performance, monetization, and growth strategy for mobile puzzle games in Lion Studios’ Word or Sort subpod. Plan events, updates, and promotions; use analytics and market trends to guide product decisions; collaborate with development, marketing, and design teams; and support new titles from development through launch and global scaling.

Build and maintain product measurement systems, event taxonomies, dashboards, metric definitions, dbt models, and data-quality processes. Analyze product usage, customer feedback, adoption, engagement, retention, revenue, and churn signals. Deliver actionable reporting to product and executive stakeholders, automate insight workflows, and apply AI responsibly to improve analytics, documentation, and decision-making across Product, Design, and Engineering.

Lead product vision and roadmap for agentic AI solutions, own the backlog, translate business needs into user stories, partner with data scientists and engineers, manage Agile delivery cycles, ensure responsible AI practices, and monitor model performance and continuous improvement.

Owns an AI neobank product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partners with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Builds in regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Applies AI with evaluation, safeguards, oversight, and reliability controls while aligning engineering, compliance, operations, treasury, finance, and design.

Owns an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partners with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Integrates KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Applies AI with evaluation, safeguards, human oversight, and reliability controls while coordinating engineering, design, compliance, operations, treasury, and finance.

Owns an AI finance product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. The role coordinates engineering, compliance, operations, finance, and design while ensuring reliable money movement, regulatory compliance, security, scalability, and trustworthy AI usage. Responsibilities include managing APIs, data flows, ledgering, reconciliation, failure handling, financial rails, third-party dependencies, and evaluation safeguards for AI-powered features.

Own a technical product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own a financial product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI-native fintech product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, regulatory requirements, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Apply AI with evaluation, safeguards, and human oversight while coordinating Engineering, Compliance, Operations, Treasury, Finance, and Design.

Own an AI neobank product vertical end-to-end, including strategy, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Integrate regulatory requirements such as KYC, transaction monitoring, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while aligning engineering, compliance, operations, finance, and external partners.

Own an AI investing product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Embed regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating engineering, design, compliance, operations, treasury, and finance.

Own an AI neobank product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate KYC, transaction monitoring, privacy, limits, and licensing requirements. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.