Engagement Associate, Credit at Hebbia

New York, New York, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, CreditIndustries

Requirements

Bachelor’s degree in Finance, Economics, or Pre-Law
Preference for 1-4 years of experience in front-office roles: leveraged finance, restructuring, private credit / direct lending, public credit, or a related buyside credit role - with proven ability to bring together customer-facing, analytical, strategic, and cross-functional work
Curiosity around the applications of AI in professional services, and a strong desire to learn

Responsibilities

Develop expertise with large language models (LLMs) including Open-AI (GPT-4), Anthropic (Claude-3), and/or Gemini. Apply to complex professional settings and workflows
Define internal processes and workflows to uplift the engagement team and improve our customer experience
A focus on detail, and an ability to understand the basics of complex financial and legal workflows (e.g., credit agreements, lease documents, etc.)
Deeply understand our users and drive value in partnership with them – creatively engage with new teams and support existing users to get the most out of Hebbia
Tackle ambiguous, complex customer and product questions - bringing together a deep understanding of user needs and technical capabilities

Skills

Leveraged Finance

Restructuring

Private Credit

Direct Lending

Public Credit

Buyside Credit

Financial Analysis

Customer Engagement

AI Applications

Critical Thinking

Hebbia

AI-powered browser extension for efficient information retrieval

About Hebbia

Hebbia.ai offers an AI-powered browser extension that enhances the traditional search function by understanding the context of user queries. This tool quickly highlights the most relevant information in lengthy documents, making it easier for users to find what they need. It is particularly useful for professionals such as researchers, financial analysts, legal experts, and software engineers who often work with extensive documentation. Unlike standard search tools, Hebbia's extension provides a more efficient way to sift through large amounts of text, improving information retrieval speed significantly. The company is currently in private beta, allowing early users to test the product, with plans to monetize through subscription fees or licensing agreements in the future. Hebbia aims to optimize workflows for its users by providing a solution that is 20 times faster than traditional methods.

New York City, New YorkHeadquarters

2020Year Founded

$155.3MTotal Funding

SERIES_BCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Risks

High development costs could strain Hebbia's financial resources as it scales operations.

Increased competition from established AI players may overshadow Hebbia's offerings.

Shifting focus to the legal sector may pose challenges in product adaptation.

Differentiation

Hebbia offers AI search with transparent processes, unlike black-box competitors.

The platform enhances traditional search with AI, improving document comprehension significantly.

Hebbia's AI tool is tailored for professionals in finance, law, and pharma sectors.

Upsides

Hebbia raised $130M, indicating strong investor confidence in its AI search platform.

The legal sector expansion offers new market opportunities for Hebbia's AI solutions.

Partnerships with financial firms validate Hebbia's market fit in AI-driven document search.

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