招聘
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
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 Development Representative at Hebbia, you’ll be the tip of the spear — introducing the world’s leading enterprises to a new era of intelligent work. You’ll play a critical role in identifying high-potential prospects, crafting compelling outreach, and generating pipeline for our Enterprise Sales team — all while helping shape the way businesses discover and adopt AI that actually delivers.This team works in person at our So Ho office in London.
Responsibilities
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Generate new business pipeline primarily through prospecting outbound opportunities
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Partner with Account Executives to identify and source net new pipeline and assist by researching lines of business and personas
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Identify key decision makers within new large enterprise and strategic accounts
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Run qualification calls with potential clients, helping to guide them through the first part of the evaluation process
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Demonstrate attentive listening skills when understanding customer requirements and articulate how Hebbia can meet those needs better than other solutions
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Develop critical sales skills, such as leading effective discovery calls, cold calling, objection handling, articulating and selling value, prioritization and time management, and more
Who You Are
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1+ year of Sales Development experience
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Bachelor’s degree from a four-year university
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Team-centric mindset and demonstrated ability to work well in a collaborative environment
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Excellent time management skills and ability to juggle multiple priorities
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Strong communication skills and ability to identify potential customer opportunities
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关于Hebbia

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
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
Mid/L4
Junior/L3 · Project Manager
0份报告
$179,100
年薪总额
基本工资
$179,100
股票
-
奖金
-
$152,235
$206,265
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
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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'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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