Top Remote Jobs in Amsterdam

Serve as a senior technical advisor for Cloudflare One, partnering with sales and customers to design, demonstrate, and validate SASE and Zero Trust security solutions. Analyze customer environments, address network and security requirements, guide proof-of-value engagements, explain competitive advantages, support revenue goals, and relay customer feedback to product and engineering teams. The role also focuses on enterprise AI security, including Shadow AI visibility, DLP, MCP access controls, and agentic AI governance.

Drives complex, net-new enterprise sales opportunities for Cisco ThousandEyes. Advises senior customer stakeholders on digital experience assurance architectures, competitive positioning, security, scalability, and long-term technology strategy. Coordinates cross-functional teams throughout complex sales cycles, develops account strategies, leads technical solution discussions, and positions Cisco as the preferred solution while contributing to significant revenue growth.

Lead and grow monday.com’s enterprise sales organization across the Benelux. Recruit, coach, and develop Enterprise Account Executives and Account Managers; achieve ARR, cross-sell, and retention targets; improve sales methodologies and account planning; drive upmarket expansion; and collaborate with regional and cross-functional leaders on long-term growth strategy. Requires SaaS enterprise sales leadership, MEDDPICC proficiency, talent development experience, and native-level Dutch fluency.

Develop and evolve data, privacy, and AI governance frameworks; translate regulatory and policy requirements into practical guidance; establish stewardship models, governance forums, and supporting tooling; deliver data and AI literacy programs; and advise cross-functional teams on responsible AI, bias, transparency, explainability, data quality, lineage, and regulatory compliance.

Leads APAC merchant risk operations for payments, owning team performance, service levels, quality, fraud and chargeback metrics, investigations, monitoring, and escalation workflows. Partners with Legal, Risk, Compliance, Product, and Engineering to implement controls and improve risk tooling. Drives automation and AI adoption, manages senior staff across locations, influences stakeholders, and ensures portfolio risk aligns with enterprise risk appetite.

Supports the enterprise data governance program by developing policies, enabling data ownership and stewardship, governing metadata and data quality, coordinating compliance activities, facilitating stakeholder engagement, tracking governance initiatives, and reporting KPIs. The role promotes adoption of data catalogs, business glossaries, data standards, privacy requirements, retention controls, and governance best practices across business and technology teams.

Lead complex, concurrent enterprise customer implementations from kickoff through sign-off. Manage scope, milestones, budgets, resources, risks, dependencies, quality, and executive stakeholder alignment. Serve as the primary customer escalation owner while driving successful deployment and business value realization. Contribute to PMO governance, standard operating procedures, project methodologies, KPI reporting, resource utilization, and continuous process improvement across the Professional Services portfolio.

Drive collections and AR activities for assigned regions, oversee BPO collections, resolve disputes, manage cash forecasts and variance analysis, support process improvement, automation and SAP S/4HANA transformation initiatives while collaborating with Finance, Sales, Legal and cross-functional teams.

Develop and improve MongoDB’s distributed query execution engine. Responsibilities include implementing execution algorithms, developing query language features, optimizing database performance, diagnosing query issues, writing and reviewing high-quality C++ code, testing features, and supporting large-scale software. The engineer will collaborate with peers, deliver complex functionality, lead major feature development, and mentor newer engineers.

Partner with sales to discover customer needs, solve technical challenges, demonstrate Atlassian solutions, identify expansion opportunities, guide implementation strategies, and provide customer and competitive insights to product teams.