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채용Hebbia

Backend Engineer, Agent Collaboration Platform

Hebbia

Backend Engineer, Agent Collaboration Platform

Hebbia

New York City; San Francisco, CA

·

On-site

·

Full-time

·

1mo ago

보상

$160,000 - $300,000

복지 및 혜택

Unlimited Pto

Healthcare

401(k)

Equity

Parental Leave

Meals

필수 스킬

Python

Java

Go

Backend engineering

API design

AWS

About Hebbia

The AI platform for investors and bankers that generates alpha and drives upside.

Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for Black Rock, KKR, Carlyle, Centerview, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.

We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.

Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.

The Team

The Agent Collaboration platform team at Hebbia builds the interactive scratch-pad, analysis, and content creation tools for Agents. Our flagship product, Matrix, is a generative spreadsheet that leverages our ISD process to coordinate complex agentic workflows across thousands of documents. We pair a simple, elegant interface—where users can kick off complex multistep document workflows—with a real-time, high-throughput LLM execution engine capable of processing the equivalent of 100 Harry Potter novels per second. Together, we turn massive, unstructured document repositories into seamless, actionable intelligence.

The Role

A backend engineer at Hebbia blends expertise in systems, application layer software, and data modeling to build highly efficient software solutions. You will be responsible for leveraging the latest software and agentic solutions and integrating product experience with powerful distributed systems. You’ll help protect Hebbia’s technical edge via elegant software design, efficient data communication, and sophisticated integrations. We value engineers who move fast, hold themselves accountable to quality, and are detail-oriented.

Responsibilities

  • Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.

  • Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.

  • Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.

  • Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.

Who You Are

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred.

  • 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering.

  • Proficiency in building backend and API systems using technologies such as Python, Java, or Go.

  • Extensive experience with cloud platforms (e.g., AWS)

  • Working experience with one or more of the following: Kafka, Elastic Search, PostgreSQL, and/or Redis

  • Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.

  • Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.

  • Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies.

  • Embraces rapid prototyping with an emphasis on user feedback

  • Autonomous and excited about taking ownership over major initiatives

Bonuses:

  • Experience building agentic systems or LLM enabled products.

  • Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).

Compensation

The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.

Life @ Hebbia

PTO: Unlimited

Insurance: Medical + Dental + Vision + 401K

Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late

Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent

Fertility benefits: $15k lifetime benefit

New hire equity grant: competitive equity package with unmatched upside potential

총 조회수

2

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Hebbia 소개

Hebbia

Hebbia

Series B

Hebbia is an American technology company that develops artificial intelligence and automation tools for financial and legal research. The company was founded in 2020 by George Sivulka, a former Stanford University PhD student, with its headquarters in New York City.

51-200

직원 수

New York

본사 위치

$1.3B

기업 가치

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 · Analyst

1개 리포트

$156,000

총 연봉

기본급

$120,000

주식

-

보너스

-

$156,000

$156,000

면접 경험

62개 면접

난이도

3.4

/ 5

소요 기간

14-28주

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

자주 나오는 질문

Tell me about a challenging project

System design question

Coding problem

Why this company

뉴스 & 버즈

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

·

3w ago

·

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

·

3w ago

·

1

·

1

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

Business Wire

News

·

5w ago

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

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5w ago

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1