Full-Time

Engagement Manager

Legal

Posted on 2/19/2025

Hebbia

Hebbia

51-200 employees

AI-powered browser extension for efficient information retrieval

Enterprise Software
AI & Machine Learning

Compensation Overview

$100k - $220kAnnually

+ Equity Plan

Mid, Senior

New York, NY, USA

Category
Legal
Legal & Compliance
Required Skills
Product Management

You match the following Hebbia's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Juris Doctor (JD) degree from an accredited law school
  • Minimum of 3 years of professional experience in a legal setting, with a preference for some portion in larger corporate law firm (e.g., M&A, securities, intellectual property, finance)
  • Strong grasp on AI and the different applications of AI in the legal space
  • Excellent relationship management skills – including with senior-level stakeholders
  • Strong ownership mindset – you see problems or white space and make it yours
  • Excitement to own problems and white space: from blue sky ideation to driving in-the-weeds success with individual users
  • Innate bias towards action and impact, while working in a nimble and fast-paced environment
Responsibilities
  • Deeply understand various law practices and their most pressing needs for Hebbia – creatively engage the application and support existing users
  • Own and build relationships with senior counsel and law firm executives; serve as a trusted advisor in AI adoption and risk mitigation
  • Synthesize complicated and ambiguous legal use cases into structured applications and processes for users
  • Shape the future of the product – bring the voice of the lawyer to our product and engineering teams and strategically advise on the future of the product
  • Help to build the Engagement team – with potential opportunity to manage a dedicated law engagement team in the near future
Desired Qualifications
  • Experience in larger corporate law firm (e.g., M&A, securities, intellectual property, finance)

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 professionals like researchers, financial analysts, legal experts, and software engineers to find what they need efficiently. Unlike standard search features, Hebbia's technology allows for faster information retrieval, claiming to be 20 times quicker than traditional methods. The company is currently in private beta, allowing early users to test the product, with plans to monetize through subscription fees or licensing agreements. Hebbia aims to optimize workflows for its users, setting itself apart from competitors in the AI productivity tools market.

Company Size

51-200

Company Stage

Series B

Total Funding

$155.3M

Headquarters

New York City, New York

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • Hebbia raised $130 million in Series B funding, indicating strong investor confidence.
  • The platform is used by major financial firms, showing its effectiveness in complex workflows.
  • Growing demand for AI-driven tools in legal and financial sectors boosts Hebbia's market potential.

What critics are saying

  • High development costs could strain Hebbia's financial resources as they expand into new sectors.
  • Increased competition from established players like Guru and Degreed may limit market share.
  • Reliance on venture capital funding pressures Hebbia to deliver quick returns, affecting long-term strategy.

What makes Hebbia unique

  • Hebbia offers AI tools that show their work, enhancing user trust and collaboration.
  • Their AI platform, Matrix, allows querying complex documents with unlimited context windows.
  • Hebbia's browser extension enhances traditional search by understanding context and highlighting relevant information.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Unlimited Paid Time Off

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

4%

2 year growth

-9%
Hebbia
Jan 17th, 2025
Matrix and OpenAI o1: Smarter AI Agents

Earlier this year, Hebbia Inc. launched the first multi-agent AI platform, Matrix.

Entrepreneur
Oct 21st, 2024
Hebbia Raises $130M for AI Search

AI startups in the U.S. raised $2.9 billion in Q3 2024, with Magic, Glean, and Hebbia receiving significant funding. Magic raised $320 million, Glean $260 million, and Hebbia $130 million. AI accounted for 41% of U.S. VC deals in the first half of 2024, totaling $38.6 billion. Despite challenges like high development costs, AI continues to grow, with the number of AI unicorns increasing by 22.9% last year.

The Bridge
Jul 12th, 2024
Hebbia secures $100M for AI search

Title: "a16z Backs Enterprise AI Search Potential with Hebbia" Hebbia, an AI document analysis and search service, announced a $100 million funding round led by Andreessen Horowitz (a16z). Hebbia targets specialized firms in finance and law, offering precise answers to specific queries. The enterprise knowledge search market, which predates ChatGPT, is rapidly expanding due to the AI trend. Other notable players include Guru and Degreed. Globally, investors are keen on AI search, with SoftBank partnering with Perplexity in June.

The Bridge
Jul 8th, 2024
Hebbia raises $130M for AI search

Hebbia, a New York-based startup, has raised $130 million in a Series B round from Andreessen Horowitz, Index Ventures, Peter Thiel, and GV. The company simplifies information retrieval using LLM-native productivity interfaces, partnering with major financial firms. Hebbia's "Matrix" platform allows knowledge workers to query complex internal documents with unlimited context windows. Founded in 2020, Hebbia has seen significant growth, with revenue increasing 15x and staff 5x in the past 18 months.

VentureBeat
Jul 8th, 2024
Hebbia Nets $130M To Build The Go-To Ai Platform For Knowledge Retrieval

We want to hear from you! Take our quick AI survey and share your insights on the current state of AI, how you’re implementing it, and what you expect to see in the future. Learn More. In the age of AI, enterprises want to drive critical internal functions with large language models (LLMs). They are investing millions, but bringing those use cases to life – with ROI – is far from easy. Today, New York-based Hebbia, a startup simplifying this approach with a focus on information retrieval, announced it had raised $130 million in series B funding from Andreessen Horowitz, Index Ventures, Peter Thiel and the venture capital arm of Google.What Hebbia is building is quite simple: an LLM-native productivity interface that makes driving value from data easier, regardless of its type or size. The company is already working with some large firms in the financial services industry, including hedge funds and investment banks, and is planning to take the technology to more enterprises in the coming days.“AI is undoubtedly the most important technology of our lives