refresh

트렌딩 기업

트렌딩 기업

채용

채용Hebbia

Integrations Engineer

Hebbia

Integrations Engineer

Hebbia

New York City; San Francisco, CA

·

On-site

·

Full-time

·

4w ago

필수 스킬

Go

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 Integrations team is the connective layer between Hebbia’s AI platform and every data source our customers rely on. We build and maintain the pipelines that ingest content from enterprise systems—Snowflake, S3, SharePoint, Dropbox, and beyond—so Hebbia can reason over it.

This is infrastructure work with direct customer impact. When an integration is fast, reliable, and seamless, our customers trust Hebbia with their most critical workflows. When it breaks, they feel it immediately. The team owns that end-to-end: building new connectors, hardening existing ones, and keeping the data flowing.

The Role

This is not a generic backend engineering role with integrations sprinkled in. You will spend the majority of your time building, debugging, and operating data integrations across dozens of third-party platforms. The work is hands-on, customer-facing in its impact, and requires someone who finds satisfaction in making complex systems work reliably at scale.

You will own integrations from ideation through production—designing the connector, writing the code, deploying it, monitoring it, and fixing it when something breaks at 2am. You will develop deep expertise in how enterprise data systems actually behave in the wild, which is rarely how the documentation says they should.

Strong Integrations Engineers at Hebbia become the go-to experts on the data layer that powers everything else. The role offers a high-growth trajectory for engineers who want to take on increasingly complex technical problems over time.

Responsibilities

  • Build and maintain integrations with enterprise data platforms (Snowflake, S3, SharePoint, Dropbox, Google Drive, Box, and others) and customer’s self hosted storage solutions that enable customers to securely connect their data to Hebbia

  • Own integration reliability end-to-end: monitoring, alerting, on-call rotation, and incident response for the data ingestion layer

  • Debug and resolve integration failures across a wide surface area of third-party APIs, auth flows, and data formats—often under time pressure from active customer deployments

  • Design and implement robust ingestion pipelines that handle edge cases gracefully: rate limits, partial failures, schema changes, large file volumes, and inconsistent API behavior

  • Improve internal tooling and observability to reduce mean time to detection and resolution for integration issues

  • Collaborate with product and customer success teams to scope new integration requests and prioritize based on customer impact

  • Write clean, well-tested code that other engineers can maintain and extend

Who You Are

  • 2–5 years of software engineering experience, ideally at a startup or high-growth technology company

  • Strong proficiency in Python, with experience building backend services and APIs

  • Direct experience building or maintaining integrations with third-party APIs—you understand OAuth flows, webhook patterns, rate limiting, pagination, and the ways APIs break in practice

  • Comfortable with cloud infrastructure (AWS preferred) and tools like Kafka, PostgreSQL, Redis, or Elastic Search

  • Operational mindset: you take ownership of systems in production, not just in a PR. You are comfortable with on-call and treat reliability as a first-class concern

  • Strong debugging instincts—you can trace a data issue from a customer report through logs, API responses, and queue state to root cause

  • Clear communicator who can explain technical issues to non-technical stakeholders when a customer’s integration is down

  • Autonomous and self-directed. This role has high ownership and low hand-holding

Bonuses:

  • Experience with enterprise data platforms (Snowflake, Share Point, Salesforce) from the integration side

  • Familiarity with document processing pipelines or content extraction systems

  • Experience building agentic systems or LLM-enabled products

  • Frequent user of AI tools in your development workflow (Cursor, Claude Code, etc.)

Compensation

The salary range for this role is $160,000 to $265,000. 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 + Door Dash dinner credit if you ever need to stay late

  • Parental leave: 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

0

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

·

5w ago

·

1