Senior Product Marketing Manager and Evangelist
Ort: KR-Seoul · Bereich: Marketing & Growth · Level: Senior · Veröffentlicht: 28. September 2026 · Geprüft: 29. Sept. 2026
Rollenübersicht & Beschreibung
Über das Unternehmen
Snowflake
snowflake.comManaged enterprise data cloud for analytics, sharing, AI, and clean rooms.
Ähnliche Positionen im DACH-Ökosystem
Verwandte Rollen und Profile aus dem AdTech-, Media- und Datenmarkt
Supports podcast production and editorial tasks within Acast Creative Studios Germany, providing hands-on experience in the podcast editorial department during a 3-month internship.
This internship supports the planning and execution of events and experiential marketing campaigns, assisting with logistics, coordination, and on-site support for live marketing initiatives.
This growth manager role at URVI focuses on driving growth strategies and execution, requiring an entrepreneurial mindset and data-driven approaches. The role involves developing and implementing growth initiatives to achieve business objectives.
This is a part-time working student role providing marketing support, involving content creation, social media management, and campaign assistance. It requires less than 20 hours per week and is based in Hamburg or remote.
Weitere Positionen bei Snowflake
3 weitere offene Stellen
This senior role leads the development of the orchestration layer and control-plane for Snowflake's new large-scale, multi-cloud Postgres OLTP service. The engineer will build High Availability and Disaster Recovery solutions, tune Postgres for massive datasets, and work with AWS, Azure, and GCP APIs. Requires 7+ years of experience building large-scale distributed systems with deep Postgres knowledge and expertise in Java, Python/Ruby, and Go.
This internship focuses on democratizing insights from massive structured and unstructured data using AI and natural language, from batch analysis to interactive question answering. The intern will work on AI/ML projects involving language models, predictive and generative modeling, and information retrieval. Requires Masters or PhD enrollment in a related field with coursework in AI, ML, deep learning, or NLP.
This Cloud Support Engineer role specializes in AI/ML and programmability, supporting Snowflake Cortex and ML product lines. The engineer resolves complex technical issues via email, web, and phone, adhering to SLAs and investigating issues using Snowflake environment and connectors. The role requires hands-on experience with operating systems, database technologies, big data, data integration, and networking.
