# AI Strategist, Corporate Law

**Company:** [Hebbia](https://hotfix.jobs/companies/hebbia)
**Location:** New York, NY
**Role:** Solutions Architecture
**Experience:** 7+ years
**Skills:** LLMs, Gpt, Gemini, Legal Workflows, M&A, Private Equity, Leveraged Finance, Debt Capital Markets, Investment Funds, Ai Implementation
**Posted:** 2026-06-12

> AI Strategist bridging legal expertise with AI deployment at financial institutions. Requires law degree and 5-7+ years commercial legal experience (PE/M&A preferred); drives LLM adoption, value creation, and post-sales growth for Hebbia's platform.

## Job Description

## 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.

## Requirements
- A law degree (LLB, JD, or equivalent) is required.
- At least 5–7 years of commercial legal experience required, with a strong preference for candidates trained in private equity, M&A, leveraged finance, debt capital markets (DCM), investment funds, or comparable transactional practices at a leading law firm.
- Strong ownership mindset with a demonstrated track record of outperformance, value creation, and expanded responsibilities.
- Experience and comfort with leading LLM models and tools.

## Nice-to-Haves
- 8+ 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.

## Compensation
The combined base + bonus compensation range (OTE) for this role is £170,000 - £215,000, with 80:20 split between base and performance bonus. This role is also eligible for a competitive equity package with unmatched upside potential.

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