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Full-Time

Engagement Operations

Confirmed live in the last 24 hours

Hebbia

Hebbia

51-200 employees

AI-powered browser extension for efficient information retrieval

Consulting
Enterprise Software
Fintech
AI & Machine Learning
Financial Services

Compensation Overview

$100k - $220kAnnually

+ Bonus + Equity Plan

Junior, Mid

New York, NY, USA

Category
Project Management
Business & Strategy
Required Skills
Communications
Data Analysis
Requirements
  • 1+ years of investment banking or legal experience
  • 2+ years of consulting experience
  • Focus on any of: Financial Services, Legal, Consulting (experience with product deployments preferred)
  • Excellent communication skills
  • Strong ownership mindset - you see problems or white space and make it yours
  • Distinctive analytical and problem solving capabilities: structure ambiguous, open-ended problems, and quickly iterate on solutions
  • Innate bias towards action and impact, while working in a nimble and fast-paced environment
Responsibilities
  • Cross-functional execution: Understand client needs across verticals and assist with creating workflows to drive value for them. Be able to take ideas from a customer and build in Hebbia
  • Process development and optimization: Define internal processes and workflows to uplift the broader engagement and operations function
  • Knowledge management: Share / replicate learnings from accounts to tackle ambiguous customer requests – bringing together an understanding of what does / does not resonate well
  • Data Analysis and reporting: Analyze engagement metrics to identify trends, insights, and areas for improvement, both in process and in product

Hebbia.ai enhances online information retrieval with its AI-powered browser extension that improves the traditional "Ctrl F" function. This tool understands the context of user queries and quickly highlights relevant information in lengthy documents, making it especially useful for professionals like researchers, financial analysts, legal experts, and software engineers who often work with extensive documentation. Unlike standard search features, Hebbia's approach allows for faster and more accurate information processing. Currently in private beta, the company plans to monetize its product through subscription fees or licensing agreements, aiming to provide significant value to users by optimizing their workflow. Hebbia.ai's goal is to transform how professionals access and comprehend information, making retrieval up to 20 times faster than conventional methods.

Company Stage

Series B

Total Funding

$124.1M

Headquarters

New York City, New York

Founded

2020

Growth & Insights
Headcount

6 month growth

53%

1 year growth

176%

2 year growth

590%
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Simplify's Take

What believers are saying

  • Hebbia's $130 million Series B funding round positions it for aggressive growth and product development, enhancing its market presence.
  • The company's partnerships with major financial firms and plans to expand into the legal sector indicate a broadening market reach and diversified revenue streams.
  • Hebbia's AI-driven document search tool has already proven its value in critical situations, such as during the Silicon Valley Bank crisis, showcasing its practical utility and reliability.

What critics are saying

  • The competitive landscape for AI-powered search tools is intensifying, with significant players like Guru and Degreed also vying for market share.
  • Hebbia's focus on specialized sectors may limit its scalability and ability to attract a broader user base.

What makes Hebbia unique

  • Hebbia's AI-powered search tool offers context-aware information retrieval, making it significantly more efficient than traditional search functions.
  • The company's focus on specialized sectors like finance and law allows it to tailor its solutions to meet the unique needs of these industries, unlike more generalized AI search tools.
  • Hebbia's rapid growth and substantial funding from top-tier investors like Andreessen Horowitz and Peter Thiel highlight its strong market potential and investor confidence.