5 days ago
Base Salary
$264k - $347k/yr
Responsibilities
- Build and lead a multi-layered organization of Solution Engineering managers serving global financial institutions.
- Partner with Sales leadership to achieve regional quota and consumption targets across complex banking, insurance, and capital markets sales cycles.
- Guide customers through AI-led transformation using Cortex AI, agentic workflows, and governed enterprise AI in regulated environments.
- Coordinate cross-functional resources and ensure technical alignment with regional and regulatory requirements.
- Advise revenue leaders on sales strategy, industry-specific product gaps, and financial services trends including real-time risk, fraud detection, and AI-driven customer 360.
- Collaborate with product, engineering, sales, marketing, and services on governance, security, latency, scale, and roadmap requirements.
- Recruit industry talent, develop the leadership bench, and coach leaders on executive presentations, consultative selling, AI-native workflows, and technical architecture.
Requirements
- 15+ years of industry experience in a sales or pre-sales capacity.
- Strong technical understanding of cloud data platforms, data warehousing, data sharing, and AI applications across banking, risk, ERP, and CRM sources.
- Experience guiding organizations through AI and GenAI transformation, including governance, security, and risk considerations for regulated industries.
- Exceptional communication and presentation skills for technical and executive stakeholders, including whiteboards, live demos, and formal presentations.
- Consultative sales approach and ability to map complex business challenges to cloud data platform and AI solutions.
- Strategic understanding of enterprise sales cycles and ability to manage complex deals from discovery through close.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience.
- Hands-on familiarity with Snowflake or comparable cloud data platforms is preferred.
- Experience scaling AI, GenAI, and agentic workflows across teams, prior technical go-to-market leadership for large financial institutions, and understanding of data collaboration and marketplace ecosystems are preferred.
Benefits
- Opportunity to shape financial services data modernization and responsible AI adoption while building and mentoring industry leadership.
- Employees are expected to follow Snowflake’s confidentiality and security standards and data security plan.
- Salary and benefits information is provided through the Snowflake Careers Site for United States jobs.
Tech Stack
Snowflake
Categories
Solutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.