Engagement Manager, Public Equities 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, Investment Management, Artificial IntelligenceIndustries

Requirements

2-6+ years of total work experience with at least 2 years in front-office public equity roles: equity research, public equities investing (mutual funds, hedge funds, family offices, or endowments/foundations)
Passion for shaping the future of AI (preferred)
Experience in high stakes, client-facing roles (preferred)
Entrepreneurial mindset or direct experience in early stage startups (preferred)
Excellent relationship management skills with senior-level stakeholders
Strong ownership mindset - you see problems or white space and make it yours

Responsibilities

Customer-centricity: Deeply understand what makes an investment opportunity attractive to public equities investors and knowledge of their workflows for researching and executing their investment decisions – creatively engage with users to get the most out of Hebbia
Relationship orientation: Build strong relationships (including at the executive level of large asset managers) and serve as a trusted advisor and go-to leader in AI
Structured approach: Tackle ambiguous, complex customer and product questions - bringing together a deep understanding of user needs and technical capabilities
Define roadmap: Shape the future of the product - bring the voice of the customer to our product and engineering teams and strategically advise on the product roadmap
Grow our team: Help to build the Engagement team - with potential opportunity to manage a dedicated team in the near future

Skills

Equity Research

Public Equities Investing

Hedge Funds

Mutual Funds

Asset Management

Relationship Management

Client-Facing

Product Roadmap

Customer Engagement

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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