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Leads Snowflake’s AI Developer Experience engineering team, setting the roadmap for transforming software development and delivery through AI. Responsibilities include managing and developing engineers, improving code review latency, enabling access to modern AI tools and models, establishing agentic development pathways, and maintaining operational excellence through on-call management, incident response, postmortems, and support prioritization. The role requires strong technical judgment, cross-functional communication, measurable customer impact, and experience modernizing developer productivity and CI/test workflows.

Lead and grow the Cost Intelligence engineering team while setting technical strategy for scalable backend systems, data pipelines, APIs, and customer-facing cost optimization products. Own multi-quarter roadmaps covering cost allocation, budgeting, anomaly detection, and optimization recommendations. Partner with Product, Design, Data Science, and engineering teams to deliver reliable features, support integrations, and drive technical excellence, talent development, and end-to-end execution.

Build, deploy, and productionize enterprise-grade AI solutions and agents using Snowflake AI Platform. Architect scalable ML pipelines, data models, ETL/ELT processes, and observability. Partner with customer data science and engineering teams to translate business needs into production systems, iterate rapidly, and ensure operational excellence and performance at scale.

Lead high-stakes value advisory engagements for strategic customers in Japan, including executive workshops, board presentations, business cases, and deal strategy. Develop financial models using NPV, ROI, TCO, and IRR; create scalable value methodologies, benchmarking tools, and ROI assets; integrate value engineering with sales processes; publish thought leadership; mentor advisors; and influence organizational strategy. The role requires fluent Japanese and English, strong enterprise cloud and FinOps expertise, executive presence, and 25%–35% travel.

The AI Product Sales Specialist drives sales execution for AI/ML workloads, achieves revenue targets, works with customers, and aligns with product insights. Requires expertise in AI/ML sales and managing client relationships.

Lead presales engagement by presenting Snowflake to executives and technical buyers, delivering demos and PoCs, collaborating with sales, partners, and product teams to drive deal closure and inform product/marketing.

Lead and hands-on manage a product Data Science team focused on app experience and data marketplace. Drive AI-native deliverables (agentic services, semantic views), validate AI/ML and LLM outputs, build POCs, mentor teammates on DS and governed generative AI usage, partner with product and engineering stakeholders, and grow team impact and hiring.

Design, develop, and support Snowflake's petabyte-scale, highly parallel, fault-tolerant cloud database. Analyze performance and scalability bottlenecks, implement query optimization and distributed data-processing algorithms, instrument and debug system components, and build tools to surface customer workload insights.

Seeking a Senior Data Scientist to collaborate with Product and Engineering teams, develop data models and analytics frameworks, and influence product enhancements using SQL and Python.

The Senior PS Sales Solutions Architect will sell and deliver Snowflake Professional Services by acting as a trusted advisor to clients, leading technical engagements, and creating impactful solutions to drive customer success.