Назад
4 дня назад

RVP, Solution Engineering (Financial Services)

264 000 - 346 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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