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トレンド企業

トレンド企業

採用

求人

Hebbia

Hebbia

Hebbia

Develops artificial intelligence and automation tools for financial and legal research.

Natural Language Processing

Machine Learning

Document Analysis

Information Retrieval

Enterprise AI

New York, NY

51-200

2020年設立(6年目)

ハイブリッド

Private

企業価値

$1.3B

累計調達額

$130M

直近ラウンド

Series B

募集中のポジション

32件のポジション

Solutions Engineer - Partnerships

Sales Engineering

New York City

On-site

Mid-Level

Full-time

Post-Sales Strategy & Operations Lead

Operations

New York City

On-site

Lead

Full-time

詳細を見る

1週間前

Forward Deployed Investor (AI Strategist)

Consulting

London, UK; New York City

On-site

Mid-Level

Full-time

詳細を見る

1週間前

Forward Deployed Banker (AI Strategist)

Consulting

London, UK; New York City

On-site

Mid-Level

Full-time

詳細を見る

1週間前

Business Operations Manager, Post-Sales

Operations

New York City

On-site

Lead

Full-time

詳細を見る

1週間前

Account Development Representative

Sales

New York City

On-site

Mid-Level

Full-time

詳細を見る

1週間前

Solutions Engineer

Sales Engineering

London, UK

On-site

Mid-Level

Full-time

詳細を見る

2週間前

GTM Systems Lead

DevOps

New York City

On-site

Lead

Full-time

詳細を見る

2週間前

GTM Engineer

Engineering

New York City

On-site

Mid-Level

Full-time

詳細を見る

2週間前

Forward Deployed Engineer

Sales Engineering

New York City; San Francisco, CA

On-site

Mid-Level

Full-time

詳細を見る

2週間前

Engineering Manager

Engineering Manager

New York City; San Francisco, CA

On-site

Lead

Full-time

詳細を見る

2週間前

Data Scientist, Product

Data Science

New York City; San Francisco, CA

On-site

Mid-Level

Full-time

詳細を見る

2週間前

Integrations Engineer

Engineering

New York City; San Francisco, CA

On-site

Mid-Level

Full-time

詳細を見る

4週間前

Account Executive, Enterprise

Sales

London, UK

On-site

Mid-Level

Full-time

詳細を見る

4週間前

Account Development Representative

Operations

London, UK

On-site

Mid-Level

Full-time

詳細を見る

4週間前

Senior Motion Designer

Design

New York City

On-site

Senior

Full-time

詳細を見る

1ヶ月前

Client Partner

Sales

New York City

On-site

Mid-Level

Full-time

詳細を見る

1ヶ月前

AI Strategist, Strategic Accounts

Sales Engineering

New York City

On-site

Mid-Level

Full-time

詳細を見る

1ヶ月前

Software Engineer, Site Reliability

DevOps

New York City; San Francisco, CA

On-site

Mid-Level

Full-time

詳細を見る

1ヶ月前

Solutions Engineer

Engineering

New York City

On-site

Mid-Level

Full-time

$150,000 - $200,000

無制限休暇

健康保険

401k

ストックオプション

詳細を見る

1ヶ月前

終了したポジション

8件のポジション

Frontend Engineer, Growth and Data

New York City; San Francisco, CA

Mid-Level

終了 3日前

Frontend Engineer, Agents

New York City; San Francisco, CA

Mid-Level

終了 3日前

Frontend Engineer, Agent Collaboration Platform

New York City; San Francisco, CA

Mid-Level

終了 3日前

Frontend Engineer, Document Intelligence

New York City; San Francisco, CA

Mid-Level

終了 3日前

Product Designer

New York City; San Francisco, CA

Mid-Level

終了 2週間前

製品・サービス

Hebbia AI

Hebbia AI

AI Research Platform

HE

Hebbia AI Platform

AI Research Platform

Document Intelligence

Document Intelligence

Document Processing

DO

Document Intelligence

Document Processing

Knowledge Search

Knowledge Search

Search Technology

MA

Matrix

AI Agent

FI

Financial Research Tools

Financial Services

Research Automation

Research Automation

Workflow Automation

Data Analysis

Data Analysis

Analytics

LE

Legal Research Assistant

Legal Technology

CO

Consulting Analytics

Consulting

API Integration

API Integration

Integration Services

経営陣

GS

George Sivulka

Founder

ニュース&話題

All

Reddit

X

News

HN

LinkedIn

YouTube

Show HN: An unstructured data workspace for data transformations with LLM

hi HN!<p>a couple of months ago I had to analyze a few thousand audio recordings to help identify issues with customer support. i was able to get some raw high-level initial results with python scripts invoking LLM APIs, but they were too general and unhelpful. writing basic prompts is easy, but tuning them and making them specific enough to ensure no faint signal is missed is hard. you need to iterate through the data with an initial prompt, segment the data into different buckets, chain anothe

HN

·

3週間前

·

4

Official Reddit Home of Hebbia | A New Era of Institutional Intelligence

Founded in 2020 by George Sivulka, Hebbia was purpose-built to meet the demands of finance. Today, Hebbia is the leading AI platform for institutional finance—backed by Andreessen Horowitz, Peter Thiel, and Index Ventures. We are trusted by investment banks and over 40% of the largest asset managers by AUM trust Hebbia to work the way they do: fast, accurate, and collaborative across the full deal cycle.  We have joined Reddit to connect with the financial professionals who use Hebbia to move f

Reddit

·

3週間前

·

1

·

1

Seyfarth Leads Next Phase of Deal Execution and Diligence Through AI Partnership with Hebbia - Business Wire

Business Wire

News

·

1ヶ月前

Neuromorphic sphere topology Hebbian learning as a path to grounded intelligence

I&#x27;ve been working on a hypothesis and want to get feedback from people who know more than I do. The hypothesis Intelligence might be a phase transition at scale, not an algorithmic problem. Fly: 100k neurons — no generalization Mouse: 70M — basic associative learning Human: 86B — abstract reasoning This doesn&#x27;t look like a smooth curve. It looks like thresholds. If that&#x27;s true, then no amount of architectural cleverness crosses it — only scale + grounding does. The grounding probl

HN

·

1ヶ月前

·

1

What does your tech stack/ software stack look like (Hebbia, Grata, Capsa, OpenClaw)

With the recent emergence of OpenClaw, I am wondering what is your firm actually using in terms of specific AI tools other than a ChatGPT or Gemini. X/ Twitter creates the feeling of being left behind, yet across the board - smallest small cap to largest large cap, none of my friends report significant AI impact in their daily doings that one would consider as a gamechanger. Thus the question which tools and for what are you using them? Many thanks!

Reddit

·

1ヶ月前

·

5

·

4

もっと見る (残り15件)

総閲覧数

24

応募クリック数

0

模擬応募者数

0

スクラップ

0

レビュー

4.0

10件のレビュー

ワークライフバランス

3.2

報酬

3.8

企業文化

4.1

キャリア

4.2

経営陣

3.5

75%

友人に勧める

良い点

Flexible work hours and remote options

Great team culture and supportive environment

Good benefits and perks

改善点

Heavy workload and overwhelming demands

Long hours during peak projects

Compensation could be better

給与レンジ

12件のデータ

Junior/L3

Junior/L3

1件のレポート

$156,000

年収総額

基本給

$120,000

ストック

-

$156,000

$156,000

面接体験

62件の面接

難易度

3.4

/ 5

期間

2-5w

内定率

37%

体験

ポジティブ 66%

普通 20%

ネガティブ 14%

面接プロセス

1

Phone Screen

2

Technical Interview

3

System Design

4

Behavioral

5

Team Fit

連絡先・所在地