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职位Hebbia

Platform Engineer, Document Intelligence

Hebbia

Platform Engineer, Document Intelligence

Hebbia

New York City; San Francisco, CA

·

On-site

·

Full-time

·

1mo ago

薪酬

$160,000 - $300,000

福利待遇

Unlimited Pto

Healthcare

401(k)

Equity

Meals

Parental Leave

必备技能

Python

Java

Go

Distributed Systems

System Design

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 Document Intelligence team at Hebbia builds cutting-edge AI solutions that transform how users discover and interact with billions of private and public documents. Our products, including the Hebbia’s Browse application, enable intelligent document exploration, powerful search capabilities, and deep insights extraction. We focus on developing advanced data ingestion and search technologies that deliver intuitive, explainable, and highly responsive experiences. Working closely with customers, our team continuously iterates to address real-world challenges and drive impactful, data-driven decisions. Our goal is to empower users by seamlessly turning vast and complex document repositories into actionable intelligence.

The Role

Platform engineering at Hebbia is about excellent, scalable enablement. You are responsible for the core distributed systems that power billions of tokens across millions of dollars of AUM. You will be responsible for deploying efficient systems and building software tightly coupled with state of the art infrastructure/system design. Hebbia’s edge is built on operating on the edge of the tokenomics curve and you will serve as a key contributor in this area. We value engineers who think on their feet, innovate and can solve for exponential scale.

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 distributed systems and platform engineering.

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

  • Deep understanding of scalable system design, performance optimization, and resilience engineering.

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

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

  • Knowledge of workflow orchestration and execution platforms like Airflow, Temporal or Prefect.

  • Proven experience enabling observability patterns.

  • 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.

  • Autonomous and excited about taking ownership over major initiatives

  • Bonuses:

  • Experience building distributed systems leveraging technologies such as etcd or Apache Zookeeper.

  • 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

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关于Hebbia

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

员工数

New York

总部位置

$1.3B

企业估值

评价

4.0

10条评价

工作生活平衡

3.2

薪酬

3.8

企业文化

4.1

职业发展

4.2

管理层

3.5

75%

推荐给朋友

优点

Flexible work hours and remote options

Great team culture and supportive environment

Good benefits and perks

缺点

Heavy workload and overwhelming demands

Long hours during peak projects

Compensation could be better

薪资范围

12个数据点

Junior/L3

Junior/L3 · Analyst

1份报告

$156,000

年薪总额

基本工资

$120,000

股票

-

奖金

-

$156,000

$156,000

面试经验

62次面试

难度

3.4

/ 5

时长

14-28周

录用率

37%

体验

正面 66%

中性 20%

负面 14%

面试流程

1

Phone Screen

2

Technical Interview

3

System Design

4

Behavioral

5

Team Fit

常见问题

Tell me about a challenging project

System design question

Coding problem

Why this company

新闻动态

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

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3w ago

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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

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3w ago

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1

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1

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

Business Wire

News

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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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