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Leads a global engineering organization responsible for Snowflake Horizon Catalog, data governance, metadata, collaboration, secure data sharing, Native Apps, Data Clean Rooms, and Marketplace platforms. The role combines distributed-systems architecture, enterprise administration, data quality, cross-cloud scalability, product strategy, customer leadership, and organizational development while driving security, operational excellence, and high availability.

Designs and delivers Snowflake-centric data engineering architectures for customers, including pipelines, migrations, modernization, governance, performance tuning, and cost optimization. Develops AI-assisted and agentic data engineering workflows using SQL, Python, Snowpark, dbt, and related technologies. Leads technical discovery, proofs of concept, customer enablement, systems integrator collaboration, and knowledge transfer while advising on cloud data platforms and best practices.

Manages customer technical cases from triage through resolution, using AI-assisted diagnostics, SQL, logs, scripting, and troubleshooting across Snowflake and cloud environments. Communicates with customers, owns incidents, documents solutions, reports bugs, collaborates with Engineering and Product, and improves knowledge bases and support workflows. Provides coverage through weekend, holiday, and on-call rotations while troubleshooting MLOps pipelines, model performance, APIs, and infrastructure.

Drive enterprise sales of Snowflake’s AI and machine learning solutions by generating pipeline, achieving revenue targets, developing territory strategies, and executing tailored sales plays. Engage executives and technical decision-makers, manage complex sales cycles, collaborate with account executives, sales engineers, field CTOs, and cross-functional teams, and provide customer insights to inform product strategy. Track sales performance and guide customers through AI/ML solution adoption, implementation, and deployment.

Lead qualitative and quantitative user research at Snowflake, partnering with product, design, engineering, and marketing leaders. Translate customer needs, product usage data, and research findings into product and go-to-market decisions. Build alignment through complex tradeoffs, identify opportunities, and support launch and adoption. Apply AI thoughtfully to research while maintaining rigorous standards for evidence, confidentiality, and data security.

Build scalable backend services, distributed systems, APIs, and platform infrastructure for production AI and agentic applications. Develop reusable agent frameworks, evaluation pipelines, SDKs, and Python libraries while improving CI/CD, testing, observability, security, reliability, and cost efficiency. Use Snowflake’s AI ecosystem to deliver intelligent internal products, collaborate with cross-functional stakeholders, and establish engineering best practices for enterprise AI systems.

Pursue and close new enterprise business for Snowflake among media and entertainment accounts. Responsibilities include prospecting, discovery calls, customized demonstrations, solution-based selling, account expansion, quota attainment, territory planning, and managing complex sales cycles. The role requires partnering with sales engineering, professional services, marketing, legal, and finance while building executive-level customer relationships and securing new logos.

Build and ship production-quality mobile features for Snowflake’s AI products using React Native and TypeScript. Own features from design through App Store and Play Store release, contribute to mobile and web architecture, integrate APIs and backend services, and collaborate with product managers, designers, and engineering teams. Use AI coding assistants in daily development while supporting scalable, maintainable user experiences.

Leads a global team of Sales Engineering Enablement Business Partners supporting technical sales organizations. Defines enablement strategy, operating mechanisms, curricula, workshops, communications, and measurement programs. Partners with Sales Engineering, Product, Marketing, and Solutions Architecture leaders to improve technical readiness, ramp time, win rates, and field impact. Requires extensive experience in sales engineering or technical enablement, people management, enterprise SaaS, data analytics, executive stakeholder influence, and global program execution.

Own Snowsight’s web performance strategy and infrastructure. Build monitoring, regression detection, dashboards, performance budgets, and CI/CD guardrails. Diagnose and resolve performance issues involving React rendering, data fetching, caching, large dataset visualization, build tooling, and delivery optimization. Partner with product and platform teams on performance-aware architecture, mentor engineers, and drive organization-wide performance practices.