DDN
DDN is a global leader in AI data intelligence platforms, providing high-performance data management solutions designed to optimize and accelerate AI and computing tasks. With over two decades of experience, DDN specializes in delivering cutting-edge technology for data-intensive applications across various industries, including healthcare, financial services, and telecommunications. Their comprehensive solutions include state-of-the-art hardware and software systems that empower enterprises to effectively manage complex datasets and drive innovation through artificial intelligence.
Artificial Intelligence • Data Storage • Machine Learning • Analytics • Enterprise AI
GTM Engineer - AI & Automation
April 13
DDN
DDN is a global leader in AI data intelligence platforms, providing high-performance data management solutions designed to optimize and accelerate AI and computing tasks. With over two decades of experience, DDN specializes in delivering cutting-edge technology for data-intensive applications across various industries, including healthcare, financial services, and telecommunications. Their comprehensive solutions include state-of-the-art hardware and software systems that empower enterprises to effectively manage complex datasets and drive innovation through artificial intelligence.
Artificial Intelligence • Data Storage • Machine Learning • Analytics • Enterprise AI
📋 Description
• As a GTM Engineer at DDN, you will be at the forefront of embedding AI technologies and automation into our GTM operations. • Your role involves maintaining and optimizing data infrastructure, developing intelligent automations, and providing actionable insights by combining internal and external data sources. • This position requires a blend of technical expertise, data analysis, and business acumen to build a scalable and efficient revenue engine.
🎯 Requirements
• Experience: 4+ years in roles such as Sales Operations, Marketing Operations, Data Engineering, or similar, preferably in B2B technology environments. • Technical Skills: Proficiency in managing data warehouses (BigQuery, Snowflake, Redshift), strong coding skills in Python and SQL, and experience with AI integration and predictive modeling. • Analytical Abilities: Demonstrated capability in data analysis, developing insights, and translating them into strategic actions. • Business Acumen: Understanding of sales and marketing processes, with the ability to align technical solutions with business objectives. • Communication Skills: Excellent ability to convey complex technical concepts to non-technical stakeholders and collaborate across departments.
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