Высокоуровневая руководящая роль в одном из лидеров рынка AI и данных с зарплатой выше рынка и фокусом на самые свежие AI-тренды в финтехе.
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TL;DR
RVP, Solution Engineering (Financial Services) (Snowflake AI Data Cloud): Leading a multi-layered pre-sales organization that drives adoption of cloud data and AI platforms across banking, insurance, and capital markets with an accent on regulated-industry governance, security, and strategic enterprise sales. Focus on developing SE leaders, guiding AI and GenAI transformation, and aligning technical solutions with complex financial-services workloads and customer requirements.
Location: New York, United States
Salary: $264,000–$346,500 per year
Company
Snowflake provides the AI Data Cloud, helping enterprises manage data, analytics, and AI workloads.
What you will do
Lead a multi-layered Solution Engineering organization serving global financial institutions.
Partner with Sales leadership to achieve regional quota and consumption targets.
Guide customers through AI, GenAI, Cortex AI, and agentic workflow transformation in regulated environments.
Coordinate cross-functional resources and align solutions with governance, security, latency, and scale requirements.
Advise revenue and executive leaders on sales strategy, product gaps, and financial-services market trends.
Recruit industry talent, develop directors and managers, and coach leaders on executive presentations and consultative selling.
Requirements
15+ years of experience in sales or pre-sales.
Strong understanding of cloud data platforms, data warehousing, data sharing, and AI for financial-services workloads.
Experience leading AI and GenAI transformation, including governance, security, and risk management in regulated industries.
Excellent communication, presentation, consultative selling, and complex enterprise sales skills.
Experience with Snowflake or comparable cloud data platforms.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience.
Nice to have
Experience scaling governed AI and agentic workflows in production.
Technical go-to-market leadership for large financial institutions.
Understanding of data collaboration and marketplace ecosystems in Financial Services.
Culture & Benefits
Culture focused on impact, innovation, collaboration, transparency, and integrity.
Customer-obsessed environment supporting data accessibility, usability, and value.
Expectation to follow confidentiality and data-security standards when handling sensitive information.
Opportunity to shape financial-services modernization and responsible AI adoption while developing senior leaders.
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