Partnerships Solutions Engineer (Fintech)

TL;DR

Partnerships Solutions Engineer (Fintech): Leading technical strategy for partnership-driven deals by integrating market data and fintech platforms into AI-powered workflows with an accent on complex enterprise environments. Focus on designing high-impact solution narratives, validating value for sophisticated financial buyers, and accelerating deal cycles through technical pre-sales leadership.

Location: Must be based in New York City (On-site in SoHo)

Company

Hebbia is an AI platform for investors and bankers that transforms how capital is deployed and risk is managed by turning unstructured data into actionable intelligence.

What you will do

• Own the technical strategy for partnership-driven deals from discovery through close.
• Lead joint pre-sales motions, activating integrations with market data providers and fintech systems.
• Design and configure integrated AI-powered workflows that combine Hebbia with partner data.
• Deliver high-stakes integrated demos and solution narratives to senior stakeholders.
• Identify gaps in integrations and drive feedback loops to product and partnerships teams.
• Enable internal Sales and Partnerships teams with frameworks and best practices for ecosystem value.

Requirements

• 5+ years in a customer-facing technical role (Solutions Engineering, Sales Engineering, or Consulting) in complex enterprise environments.
• Experience working with market data, financial datasets, or fintech platforms.
• Strong understanding of the financial technology ecosystem and system integration.
• Proven ability to drive partnership or ecosystem-led pre-sales motions.
• Ability to translate complex, multi-system environments into clear solution strategies.
• Strong executive presence and bias for ownership in high-ambiguity environments.

Culture & Benefits

• Work at the intersection of AI and finance with top-tier institutional clients.
• Direct impact on revenue and product credibility as a core driver of growth.
• Collaborative environment working with sophisticated buyers and high-stakes financial data.
• Opportunity to shape the technical strategy for a rapidly scaling AI platform.