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트렌딩 기업

트렌딩 기업

채용

채용

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

2020년 설립 (6년차)

하이브리드

Private

기업가치

$1.3B

총 투자유치

$130M

최근 라운드

Series B

채용 중인 포지션

32개 포지션

Solutions Engineer - Partnerships

Sales Engineering

New York City

On-site

Mid-Level

Full-time

확인하기

3일 전

Post-Sales Strategy & Operations Lead

Operations

New York City

On-site

Lead

Full-time

확인하기

1주 전

Forward Deployed Investor (AI Strategist)

Consulting

London, UK; New York City

On-site

Mid-Level

Full-time

확인하기

1주 전

Forward Deployed Banker (AI Strategist)

Consulting

London, UK; New York City

On-site

Mid-Level

Full-time

확인하기

1주 전

Business Operations Manager, Post-Sales

Operations

New York City

On-site

Lead

Full-time

확인하기

1주 전

Account Development Representative

Sales

New York City

On-site

Mid-Level

Full-time

확인하기

1주 전

Solutions Engineer

Sales Engineering

London, UK

On-site

Mid-Level

Full-time

확인하기

2주 전

GTM Systems Lead

DevOps

New York City

On-site

Lead

Full-time

확인하기

2주 전

GTM Engineer

Engineering

New York City

On-site

Mid-Level

Full-time

확인하기

2주 전

Forward Deployed Engineer

Sales Engineering

New York City; San Francisco, CA

On-site

Mid-Level

Full-time

확인하기

2주 전

Engineering Manager

Engineering Manager

New York City; San Francisco, CA

On-site

Lead

Full-time

확인하기

2주 전

Data Scientist, Product

Data Science

New York City; San Francisco, CA

On-site

Mid-Level

Full-time

확인하기

2주 전

Integrations Engineer

Engineering

New York City; San Francisco, CA

On-site

Mid-Level

Full-time

확인하기

4주 전

Account Executive, Enterprise

Sales

London, UK

On-site

Mid-Level

Full-time

확인하기

4주 전

Account Development Representative

Operations

London, UK

On-site

Mid-Level

Full-time

확인하기

4주 전

Senior Motion Designer

Design

New York City

On-site

Senior

Full-time

확인하기

1개월 전

Client Partner

Sales

New York City

On-site

Mid-Level

Full-time

확인하기

1개월 전

AI Strategist, Strategic Accounts

Sales Engineering

New York City

On-site

Mid-Level

Full-time

확인하기

1개월 전

Software Engineer, Site Reliability

DevOps

New York City; San Francisco, CA

On-site

Mid-Level

Full-time

확인하기

1개월 전

Solutions Engineer

Engineering

New York City

On-site

Mid-Level

Full-time

$150,000 - $200,000

무제한 휴가

의료보험

401k

스톡옵션

확인하기

1개월 전

마감된 포지션

8개 포지션

Frontend Engineer, Growth and Data

New York City; San Francisco, CA

Mid-Level

마감 3일 전

Frontend Engineer, Agents

New York City; San Francisco, CA

Mid-Level

마감 3일 전

Frontend Engineer, Agent Collaboration Platform

New York City; San Francisco, CA

Mid-Level

마감 3일 전

Frontend Engineer, Document Intelligence

New York City; San Francisco, CA

Mid-Level

마감 3일 전

Product Designer

New York City; San Francisco, CA

Mid-Level

마감 2주 전

제품 및 서비스

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

MA

Matrix

AI Agent

Knowledge Search

Knowledge Search

Search Technology

FI

Financial Research Tools

Financial Services

Research Automation

Research Automation

Workflow Automation

Data Analysis

Data Analysis

Analytics

LE

Legal Research Assistant

Legal Technology

API Integration

API Integration

Integration Services

CO

Consulting Analytics

Consulting

리더십

GS

George Sivulka

Founder

뉴스 & 버즈

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

·

3주 전

·

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

·

3주 전

·

1

·

1

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

Business Wire

News

·

1개월 전

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

·

1개월 전

·

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

·

1개월 전

·

5

·

4

더 보기 (15개 남음)

총 조회수

24

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

리뷰

4.0

10개 리뷰

워라밸

3.2

보상

3.8

문화

4.1

커리어

4.2

경영진

3.5

75%

친구에게 추천

장점

Flexible work hours and remote options

Great team culture and supportive environment

Good benefits and perks

단점

Heavy workload and overwhelming demands

Long hours during peak projects

Compensation could be better

연봉 정보

12개 데이터

Junior/L3

Junior/L3

1개 리포트

$156,000

총 연봉

기본급

$120,000

주식

-

$156,000

$156,000

면접 경험

62개 면접

난이도

3.4

/ 5

소요 기간

2-5w

합격률

37%

경험

긍정 66%

보통 20%

부정 14%

면접 과정

1

Phone Screen

2

Technical Interview

3

System Design

4

Behavioral

5

Team Fit

연락처 및 위치