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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 $15 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
At Hebbia, the Sales team is not just responsible for revenue, it’s the engine driving enterprise transformation
by partnering with the most sophisticated organizations in the world to reimagine how knowledge work gets done. Our team is the catalyst to accelerating Hebbia’s vision of building "the AI you were promised": powerful**,transparent, and** enterprise-safe**. We do this by bringing our flagship platform,**Matrix, into boardrooms and deal teams—showing how it can replace hours of manual work with intelligent agents that execute research, analysis, and document-heavy workflows in seconds. The Sales team operates as strategic consultants, trusted advisors, and relentless problem solvers. We run deep, consultative sales cycles with senior decision-makers, identifying high-impact workflows where Hebbia can deliver immediate and compounding ROI. Our approach is grounded in credibility, technical fluency, and a deep understanding of our customers’ most critical challenges.
The Role
As an Account Executive at Hebbia, you’ll play a pivotal role in scaling our Matrix platform by cultivating a strategic pipeline of enterprise opportunities, guiding senior stakeholders through nuanced sales cycles. You'll advance Hebbia’s mission of replacing repetitive, manual workflows — like contract reviews, earnings analyses, and due diligence — with intelligent agentic automation that surfaces the right insights with full audit-ability and enterprise-grade security. Beyond revenue goals, you’ll be a strategic partner—helping clients rewire their knowledge workflows, achieve rapid ROI from day one, and commission bespoke AI use cases that reinforce Hebbia’s market position as “the AI you were promised."
Responsibilities
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Drive Revenue for Hebbia: owning the entire sales cycle, from prospecting through close and activation for early stage through enterprise companies
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Map Stakeholders: determine decision-maker and create plan to get decision-maker buy-in
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Manage Deal Cycle: Customize your pitch and demo to tailor to individual client needs
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Drive Client Satisfaction: Partner with our Customer Success team during the pilot period to manage transition to long-term contracts
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Grow Accounts: quarterback post-sales teams to ensure strong deployment and customer experience and manage growth and renewal processes.
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Optimize Go-to-Market Motion: Build compelling demos, collateral, and sales tooling to accelerate a replicable end-to-end sales process
Who You Are
- 8+ years Enterprise Saa
S Sales Experience in a closing role:
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Experience in financial services, legal, insurance, etc. is a bonus
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Experience at an early stage venture backed company, e.g.
総閲覧数
1
応募クリック数
0
模擬応募者数
0
スクラップ
0
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Hebbiaについて

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
従業員数
New York
本社所在地
$1.3B
企業価値
レビュー
4.0
10件のレビュー
ワークライフバランス
3.2
報酬
3.8
企業文化
4.1
キャリア
4.2
経営陣
3.5
75%
友人に勧める
良い点
Flexible work hours and remote options
Great team culture and supportive environment
Good benefits and perks
改善点
Heavy workload and overwhelming demands
Long hours during peak projects
Compensation could be better
給与レンジ
12件のデータ
Junior/L3
Mid/L4
Junior/L3 · Engagement Associate, Equities
1件のレポート
$115,000
年収総額
基本給
$100,000
ストック
-
ボーナス
-
$115,000
$115,000
面接体験
62件の面接
難易度
3.4
/ 5
期間
14-28週間
内定率
37%
体験
ポジティブ 66%
普通 20%
ネガティブ 14%
面接プロセス
1
Phone Screen
2
Technical Interview
3
System Design
4
Behavioral
5
Team Fit
よくある質問
Tell me about a challenging project
System design question
Coding problem
Why this company
ニュース&話題
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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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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