Enterprise Sales Engineer (Fintech)

TL;DR

Enterprise Sales Engineer (Fintech/AI): Leading technical sales processes for a global data and AI platform for investment professionals with an accent on AI-driven workflows and data integration. Focus on conducting technical discovery, designing tailored demo environments, and delivering platform value to C-suite stakeholders.

Location: New York, NY. Must be legally authorized to work in the United States without visa sponsorship.

Salary: $122,000 - $153,000 (base salary)

Company

Global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence.

What you will do

• Lead technical presentations and discovery sessions with C-suite and other key stakeholders.
• Design and build tailored demo environments and run end-to-end proof-of-concepts, including client data ingestion.
• Guide clients through the adoption of AI-powered insights and the modernization of their workflows.
• Manage the technical portions of the sales cycle, including responding to RFPs and RFIs.
• Collaborate with internal product and engineering teams to keep prospects informed on development and use cases.
• Lead technical executive reviews for large enterprise accounts to drive incremental ARR growth.

Requirements

• 3+ years of experience in Sales Engineering or Solutions Architecture.
• Strong proficiency in AI-driven software and data ecosystems.
• Robust understanding of global financial markets and various asset classes.
• Experience leading high-stakes technical engagements for multi-billion dollar firms.
• Bachelor’s Degree.
• Flexibility to travel 10-20%.

Nice to have

• CFA, CFP, or a Master's Degree.
• Understanding of Data Lakehouse workflows and complex data set integration.

Culture & Benefits

• Market-based competitive base salary with additional bonus and equity.
• Comprehensive benefits package.
• Opportunity to work at a scale managing nearly $9 trillion in assets.
• Commitment to an inclusive, welcoming environment and equal opportunity employment.
• Strong focus on ownership, collaboration, and continuous learning.