채용
About Hebbia
The AI platform for investors and bankers that generates alpha and drives upside.
Founded in 2020 by George Sivulka and backed by 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
Hebbia’s Operations function is a multi-faceted team responsible for driving commercial success, collaboration, and productivity across all GTM teams. The team is focused on driving increased efficiency via analytics, tooling, and strategic frameworks to accelerate Hebbia's pre and post-sales teams.
The Role
We're looking for a GTM Engineer to own the technical backbone of our revenue engine. This is a builder role: you'll design, ship, and continuously improve the systems, automations, and AI-powered workflows that help our GTM teams operate at their best. You won't be maintaining a set of existing automations; you'll be the person who identifies the friction, designs the fix, and ships it.
You'll own our full GTM tech stack including Salesforce, Outreach, Gong, Apollo, Clay, Claude, and more, and be responsible for how we use AI to transform the way our field teams work. This is a high-visibility, high-ownership role that sits at the intersection of revenue strategy and technical execution.
This team works in person 5 days a week at our So Ho office in NYC.
Responsibilities
AI-Powered Workflow Development
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Identify, build, and iterate on AI-powered workflows using Hebbia, Claude, Clay, and adjacent tools for both pre- and post-sales teams
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Build and maintain prompt libraries and role-specific AI assistants that give field team members leverage in their day-to-day work; set up measurement frameworks to track what's actually moving the needle
Tech Stack and Systems Ownership
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Own, administer, and continuously improve our core GTM tools, serving as the internal subject matter expert for each
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Keep all systems integrated and healthy, with clean data flowing across the stack so that every downstream workflow, report, and automation is built on a foundation that can be trusted
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Audit the full GTM workflow for manual, repetitive work and systematically replace it with automation across data capture, field updates, handoffs, lead enrichment, sequence enrollment, and signal monitoring
Cross-Functional Partnership
- Work closely with GTM and Operations to understand pain points, translate problems into technical solutions, and rollout processes and workflows
Who You Are
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4 to 7 years of experience in Revenue Operations, GTM Systems, GTM Engineering, or a closely adjacent technical role in a B2B SaaS environment
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Practical experience with prompt engineering and building AI-assisted workflows using LLM APIs or tools like Claude
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Deep hands-on experience with GTM tools including Salesforce, Gong, Outreach, Apollo, and Clay, with a track record of building workflows and automations that teams actually use
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Comfortable working directly with APIs, webhooks, and data integrations. You can connect systems and debug sync issues without filing an engineering ticket
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Experience owning vendor relationships including renewals, evaluations, and contract negotiations
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Experience in fast-paced environments and be comfortable working both as part of a team and independently
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Demonstrated ability to prioritize workload and manage multiple concurrent projects
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Strong verbal and written communication skills; ability to work effectively with cross-functional teams
Compensation
The salary range for this role is $140,000 to $190,000. 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
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
비슷한 채용공고
Hebbia 소개

Hebbia
Series BHebbia 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
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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
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3w ago
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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'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't look like a smooth curve. It looks like thresholds. If that'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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