Cloud Support Engineer, AI/ML (Night Shift)

Manages a portfolio of client accounts, ensuring high satisfaction and retention. Drives account growth through strategic partnerships and proactive support.

Leads customer success initiatives for key accounts, developing strategies to maximize client value and retention. Mentors junior team members and drives process improvements.

Manages client relationships to ensure satisfaction and retention, acting as a liaison between clients and internal teams. Supports account growth and retention initiatives.

This role serves as the central link between the agency, clients, and partners, managing projects from classic and digital campaigns to TVC productions and website projects. Responsibilities include independent project management, budget control, client meetings, and process optimization. Requires at least 3 years of agency experience, strong communication skills, and proficiency in project management tools and MS Office/Keynote.

This role leads product marketing and evangelism for Snowflake's AI Data Cloud in the Korea market, sitting at the intersection of product marketing, technical evangelism, and go-to-market strategy. The manager will build and execute GTM strategies, develop messaging and sales enablement assets, and own end-to-end product launches for Korea. This includes evangelizing through speaking engagements, social media, and community engagement with customers, partners, and analysts.

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.