RVP, SOLUTION ENGINEERING, FINANCIAL SERVICES

We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.

Our Solution Engineering organization is seeking a RVP, Solution Engineering to lead a high-caliber pre-sales team focused on driving expansion within our premier Financial Services accounts. In this second-line leadership role, you will lead through a team of SE managers, partner with Sales leadership to navigate complex banking, insurance, and capital markets sales cycles, and own the revenue and consumption responsibilities for the group. Your team translates technical capabilities into value-based financial services scenarios, using demonstrations, POCs, and pilots to accelerate adoption on the Snowflake AI Data Cloud.

AS A RVP, SOLUTION ENGINEERING, FINANCIAL SERVICES AT SNOWFLAKE, YOU WILL:

• Build and lead a multi-layered organization of SE managers who serve as our core product introduction, evaluation, and education experts for global financial institutions
• Partner with Sales leadership to achieve regional quota and consumption targets, ensuring our platform becomes the backbone of the customer's financial services data and AI stack
• Set the vision for AI-led transformation in Financial Services, guiding customers on how to operationalize Cortex AI, agentic workflows, and governed enterprise AI in highly regulated environments
• Coordinate cross-functional, dotted-line resources to achieve team goals while ensuring technical alignment with regional and regulatory requirements
• Provide guidance to revenue leaders on sales strategy and industry-specific product gaps, representing the team's needs to executive staff on market trends like real-time risk, fraud detection, and AI-driven customer 360
• Collaborate closely with product, engineering, sales, marketing, and services to ensure the roadmap addresses the unique governance, security, latency, and scale requirements of Financial Services
• Play an active role in bringing in top-tier industry talent and developing the leadership bench across directors and managers
• Act as a player/coach, working with your leaders on delivering compelling presentations to C-suite financial services stakeholders and prospects
• Innovate and implement strategies that uplevel your team's skills in consultative selling, AI-native workflows, and industry-specific technical architecture

ON DAY ONE WE WILL EXPECT YOU TO HAVE:

• 15+ years of industry experience in a sales or pre-sales capacity
• Strong technical understanding of cloud data platforms and how they power financial services workloads, including data warehousing, data sharing, and AI across core banking, risk, ERP, and CRM sources
• Experience guiding organizations through AI and GenAI transformation, including the governance, security, and risk considerations specific to regulated industries
• Exceptional communication skills, with the ability to deliver compelling presentations to both technical and executive stakeholders, whether on a whiteboard, through live demos, or formal presentations
• A consultative sales approach, with the ability to understand complex business challenges and map them to cloud data platform and AI solutions
• Strong strategic thinking, with a deep understanding of enterprise sales cycles and the ability to manage complex deals from initial discovery to close
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience

BONUS POINTS FOR THE FOLLOWING:

• Hands-on familiarity with Snowflake or comparable cloud data platforms
• Experience scaling AI, GenAI, and agentic workflows across teams, including governed AI deployments in production environments
• Prior experience leading technical GTM for large financial institutions
• Understanding of data collaboration and marketplace ecosystems relevant to Financial Services

WHY JOIN OUR TEAM AT SNOWFLAKE?

Our Solution Engineers are customer-obsessed, and we believe in the unique business value we add. We value both transparency and uncompromising integrity. We love to learn, are open to giving and receiving feedback, and are passionate about making our clients successful.

Our team works to ensure data is accessible, usable, and valuable to everyone, from the trading floor to the corporate boardroom. As a senior leader in this organization, you will shape how an entire industry modernizes its data strategy and adopts AI responsibly, while building and mentoring the leaders who will carry that work forward.

Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com