Top Remote Jobs in Amsterdam

Support lead generation and prospect research across European markets; generate outbound opportunities via email, LinkedIn, and calls; assist conference and account management activities; manage CRM, reporting and proposals; progress self-generated deals with coaching; learn enterprise and transactional sales approaches while sharing market feedback to improve product and commercial strategy.

Lead EMEA High Speed (100G–1.6T) sales growth by developing go-to-market plans, driving revenue in datacenter transceiver testing, DCI, submarine, NEM field services and rental channels, coordinating with regional teams and partners, supporting demos/workshops, and maintaining accurate CRM pipeline and forecasts to meet FY27 objectives.

As an AI/ML Engineer, you will develop and optimize AI solutions for renewable energy assets, collaborating with a skilled team to deploy algorithms in real-world projects.

As a Product Manager at Rydoo, you'll lead product development, collaborate with engineers and designers, analyze customer feedback, and enhance product practices to improve user experiences and drive company growth.

The role involves optimizing mobile telecommunications networks using proprietary tools and conducting KPI analysis, troubleshooting, and customer collaboration to enhance network performance and efficiency.

As a Backend Software Engineer, you'll design scalable backend systems, optimize database performance, and collaborate with front-end and DevOps teams.

The Technical Sales Development Representative identifies and qualifies automation opportunities in manufacturing, facilitating connections with vision-guided robotics solutions. Responsibilities include outreach, conducting discovery conversations, and preparing opportunity briefs for the sales team.

Lead end-to-end data analysis and data product delivery: shape data releases, perform SQL-based transformations, build Power BI dashboards, derive product and business insights, collaborate across data teams, and mentor junior analysts to improve operations and data quality.

Partner with Account Executives to present Arize's GenAI observability platform, lead technical demos and discovery, design and run PoCs, advise on GenAI/LLM best practices, handle technical objections, and build relationships with technical and business stakeholders across prospective customers.

Design, build, and scale high-performance data pipelines and infrastructure (ingestion, transformation, storage, modeling, serving) using ClickHouse, Postgres, Python and dbt. Manage data quality, reliability, and observability at terabyte and 500M+ address scale, collaborate with researchers and product, mentor engineers, and leverage AI tools to accelerate work.