4 дня назад
RVP, Solution Engineering (Financial Services)
264 000 - 346 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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