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This is not a typical post-sales role: you’ll drive the strategic deployment and measurable value creation of Hebbia’s platform across top global financial institutions, shaping how AI transforms the enterprise. Our AI Strategists bring curiosity, critical thinking, commercial edge, and executive polish - they move seamlessly between strategic conversations and hands-on execution in a fast-moving environment.
Job Responsibility:
Apply cutting-edge AI: Develop expertise with leading LLMs (GPT-4.5, Claude 3.7, Gemini, etc.), become a SME in Hebbia’s product and features, and apply to complex professional settings and workflows
Build domain expertise: Develop an intimate understanding of the complex banking, financial and legal workflows of our users (e.g., credit agreements, lease documents, etc.)
Become a core advisor: Deeply understand our customer stakeholders, drive value and growth as a trusted AI advisor
Drive value-backed growth: Identify and capture value with customers, serving as a key driver of our land-and-expand commercial strategy
Optimize processes for scale: Define and constantly enhance internal processes and workflows to shape the post-sales team and improve our customer experience
Own in ambiguity: Operate with autonomy and clarity in fast-moving, unstructured environments - quickly distill complex problems, learn on the fly, and drive toward actionable solutions across customer and product needs
Requirements:
Bachelor’s degree, preferably in Finance, Economics, or Pre-Law
Minimum 1-3 years of client-facing experience in top-tier investment banking, finance, or consulting roles
Strong ownership mindset with a demonstrated track record of outperformance, value creation, and expanded responsibilities
Experience and comfort with leading LLM models
Nice to have:
5+ years of client-facing experience with an emphasis on relationship-building
Strong commercial acumen and experience driving revenue expansion
Technical startup and/or founder experience, building systems and processes for scale
LLM technical knowledge and practical experience implementing into professional workflows