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Sell Snowflakes enterprise data platform by prospecting, conducting discovery and demos, qualifying opportunities, closing net-new and expansion deals, and collaborating with sales engineering and cross-functional teams to meet multi-million dollar quotas.

Own the end-to-end roadmap for database and SaaS connectors on Snowflake's Openflow platform. Lead discovery through GA, collaborate with engineering, design, sales, and support, prioritize using telemetry and AI/SQL insights, and drive connector strategy, observability, pricing, and field enablement to optimize reliability, performance, and TCO.

Lead Snowflake's premier co-marketing program for Tier 1 customers: source and qualify customer stories, design integrated campaigns (films, keynotes, paid/social, web), manage cross-functional execution, secure customer approvals, support sales through executive engagement, and report on campaign performance and pipeline.

Design and build AI-first developer platforms and tooling to boost engineer productivity. Improve reliability via observability, alerting, SLOs, and automated remediation. Drive enterprise-grade build systems, CI pipelines, testing/validation, and shared frontend infrastructure. Collaborate across product, architecture, and engineering teams and mentor junior engineers to deliver scalable, maintainable user-experience features.

Provide proactive executive support to Observe leadership by managing complex calendars, travel, and expenses; organize events, communications, and office operations; track meeting action items; coordinate customer and partner engagements; drive small projects and operational improvements to increase team efficiency.

Lead the strategy and execution of Snowflake’s unified transactional portfolio, including Snowflake Postgres and Unistore. Drive OLTP product vision, partnerships, cross-functional alignment, AI integration, market adoption, and growth toward a $1B+ business. Build and develop a high-performing product management team while scaling transactional data products across enterprise software markets.

Design and build Snowflake’s multi-cloud capacity platform for CPU and GPU resources across AWS, Azure, and GCP. Own canonical capacity data, demand forecasting, procurement, reservations, allocation, utilization, supply-risk visibility, and cost optimization systems. Collaborate with cloud providers and core services, AI/ML, warehouse, and finance teams. Ensure high availability, reliability, and performance through production support, troubleshooting, on-call participation, and incident management.

Design scalable enterprise AI/ML solutions using Snowflake and partner technologies, conduct root-cause and predictive failure analysis, manage data governance and security, and align technical roadmaps with customer ROI. The role mentors architects on MLOps and architectural design, communicates with technical and executive audiences, and supports robust deployments across distributed cloud systems. Responsibilities span the full data science lifecycle, including feature engineering, model development, deployment, and management.

Design and optimize Snowflake’s marketing data architecture and MarTech ecosystem across Salesforce, Marketo, Snowflake, Hightouch, Clay, and related platforms. Own Marketo-to-Snowflake synchronization, segmentation, lead routing, lifecycle workflows, integrations, data quality, governance, and stack rationalization. Partner with GTM and Data Engineering teams to troubleshoot complex systems issues and implement scalable technical standards supporting automation and AI-powered marketing.

Lead end-to-end technical benchmarking for Snowflake Analytics: design methodologies, build and run repeatable tests, validate and analyze results, translate findings into market-facing content, monitor competitors, and enable cross-functional teams with benchmark-driven insights.