About the job
Our AI Strategists are deep domain experts and problem-solvers who bridge product, commercial strategy, and customer impact. They understand deeply the manual drain of our users’ workflows and the myriad ways Hebbia provides value, and are focused on embedding and expanding Hebbia use cases within customer environments to maximize ROI and transform how work gets done.
Responsibilities
- Apply cutting-edge AI: Develop expertise with leading LLMs (Opus 4.6, GPT-5.2, Gemini 3, 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
Qualifications
Minimum
- Bachelor’s degree, preferably in Finance, Economics, Computer Engineering, or Pre-Law
- 1-5 years of client-facing experience in investment banking, institutional investments (private credit, private equity, hedge funds, asset management, investment research), professional services (accounting, consulting, insurance, corporate law), or Fortune 500 corporate finance roles with significant client-facing and leadership responsibilities.; relevant internship experience can be considered for recent grads
- Strong ownership mindset with a demonstrated track record of outperformance, value creation, and expanded responsibilities
- Experience and comfort with leading LLM models and tools; we want to hear about what you’ve built/tested/researched
Preferred
- 5-10 years of client-facing experience with an emphasis on relationship-building
- Strong commercial acumen and experience driving revenue expansion, particularly deploying AI/SaaS into enterprise organizations
- Technical startup and/or founder experience, building systems and processes for scale
- LLM technical knowledge and practical experience implementing into professional workflows