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Own commercial structuring and economics for large international deals. Lead regional pricing, multi-product and multi-currency deal design, drive cross-functional execution, coach field sellers, enforce concession discipline, and feed learnings into the Strategic Engagements playbook. Communicate deal recommendations and risks to executives and the CFO.

Lead pre-sales engagements by presenting Snowflake to execs and technical audiences, delivering demos and proofs-of-concept, designing solutions, collaborating with product and engineering, maintaining competitive knowledge, supporting large deals and channel partners, and traveling (~30%).

Lead and scale a global AI Solutions engineering organization; define technical vision; design, build, and deliver enterprise-grade AI/ML solutions using Snowflake Cortex and Snowflake ML; partner with Fortune 100 customers and GTM teams; recruit and mentor managers; influence product roadmaps and budgets; drive best practices and continuous improvement across AI methodologies.

Identify and qualify new business opportunities in Korea by collaborating with sales and marketing, using AI research tools and data signals to analyze prospects, designing outreach sequences across phone, email, and social, and booking qualified meetings to grow Snowflake's pipeline and market share.

Support sales and senior SEs with presentations, demos, and technical explanations; understand customer requirements and map Snowflake solutions; assist PoC and technical validations; learn cloud, data, and AI technologies; collaborate cross-functionally and progressively develop technical, presentation, and customer-facing skills.

In this role, you will lead the AI engineering lifecycle for Snowflake Database Engineering products, enhancing workflows and collaborating to address customer needs.

Lead design and implementation of Snowflake's core streaming and transformation primitives. Drive multi-quarter technical investments for performance, scalability, correctness, and reliability. Partner across product, research, and engineering, run architectural reviews, mentor engineers, and work with customers to prioritize real-world needs. Publish and represent Snowflake's technical work externally.

Customer-facing Solution Engineer partnering with Sales to design and demo scalable data and AI solutions, lead AI strategy conversations, run enterprise POCs, translate technical concepts into business outcomes, and influence stakeholders across technical and executive audiences.

Partner with Marketing leadership to translate data into business outcomes: build and maintain GTM data models and pipelines (SQL, dbt, Snowflake), influence pipeline and ROI decisions, implement AI-driven analytics and automation, ensure data quality across Salesforce/Marketo, and represent analytics work externally.

Lead and scale a high-performing Sales Development team (8 SDRs) to hit new-business pipeline goals, recruit and develop SDR talent into AEs, partner cross-functionally to optimize campaigns and ramp time, and use data-driven analysis to improve top-of-funnel metrics and pipeline quality.