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Snowflake is seeking a Regional VP of Solution Engineering to lead a multi-layered pre-sales organization focused on financial services accounts. This is a second-line leadership role managing SE managers and partnering with sales leadership to drive expansion and consumption within premier banking, insurance, and capital markets customers.
You will own revenue and consumption targets for your team while translating Snowflake's technical capabilities—particularly around the AI Data Cloud, Cortex AI, and agentic workflows—into value-based scenarios for highly regulated financial institutions. Key responsibilities include building and developing a high-caliber team of solution engineers, setting vision for AI-led transformation in financial services, coordinating cross-functional resources, and providing strategic guidance to revenue leaders on sales strategy and industry-specific product gaps.
You will act as a player-coach, working with your leadership team on compelling C-suite presentations and customer engagements. You'll collaborate closely with product, engineering, sales, marketing, and services to ensure the roadmap addresses governance, security, latency, and scale requirements unique to financial services. You'll also play an active role in recruiting top-tier talent and developing the leadership bench.
Required: 15+ years in sales or pre-sales, strong technical understanding of cloud data platforms and financial services workloads (data warehousing, data sharing, AI across banking, risk, ERP, CRM), experience guiding organizations through AI/GenAI transformation with governance and security considerations for regulated industries, exceptional communication skills for both technical and executive audiences, consultative sales approach, strategic thinking on enterprise sales cycles, and a Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent.
Bonus: hands-on Snowflake or comparable cloud data platform experience, experience scaling AI/GenAI/agentic workflows with governed AI in production, prior technical GTM leadership for large financial institutions, and understanding of data collaboration and marketplace ecosystems.
