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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 BlackRock, 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.
About the AI Strategy Team
Our AI Strategists are deep domain experts and problem-solvers who bridge product, commercial strategy, and customer impact. They understand deeply the manual drain of our users’ workflows and the myriad ways Hebbia provides value, and are focused on embedding and expanding Hebbia use cases within customer environments to maximize ROI and transform how work gets done.
As we continue to scale in hypergrowth, our AI Strategists sit at the intersection of GTM, product, and post-sales - helping shape commercial strategy and expanding our footprint across the global financial industry landscape. The team owns deployment and early adoption, leads strategic growth initiatives post-sale, and partners cross-functionally to inform product roadmap, sales strategy, and executive account management.
About the Role
This is not a typical post-sales role: you’ll drive the strategic deployment and measurable value creation of Hebbia’s platform across top global financial institutions, shaping how AI transforms the enterprise.
Our AI Strategists bring curiosity, critical thinking, commercial edge, and executive polish - they move seamlessly between strategic conversations and hands-on execution in a fast-moving environment.
If you thrive on solving complex problems, building meaningful partnerships, and helping define how AI reshapes finance, we’d love to meet you.
This role is based out of our New York City office (5 days per week).Responsibilities
- Apply cutting-edge AI:
Develop expertise with leading LLMs (Opus 4.6, GPT-5.2, Gemini 3, etc.), become a SME in Hebbia’s product and features, and apply to complex professional settings and workflows
- Build domain expertise:
Develop an intimate understanding of the complex banking, financial and legal workflows of our users (e.g., credit agreements, lease documents, etc.)
- Become a core advisor:
Deeply understand our customer stakeholders, drive value and growth as a trusted AI advisor
- Drive value-backed growth:
Identify and capture value with customers, serving as a key driver of our land-and-expand commercial strategy
- Optimize processes for scale:
Define and constantly enhance internal processes and workflows to shape the post-sales team and improve our customer experience
- Own in ambiguity:
Operate with autonomy and clarity in fast-moving, unstructured environments - quickly distill complex problems, learn on the fly, and drive toward actionable solutions across customer and product needs
Who You Are
- Bachelor’s degree, preferably in Finance, Economics, Computer Engineering, or Pre-Law
- 1-5 years of client-facing experience in top-tier investment banking, institutional investing, corporate law, corporate finance, or consulting roles; relevant internship experience can be considered for recent grads
- Strong ownership mindset with a demonstrated track record of outperformance, value creation, and expanded responsibilities
- Experience and comfort with leading LLM models and tools; we want to hear about what you’ve built/tested/researched
Bonus:
- 5-10 years of client-facing experience with an emphasis on relationship-building
- Strong commercial acumen and experience driving revenue expansion, particularly deploying AI/SaaS into enterprise organizations
- Technical startup and/or founder experience, building systems and processes for scale
- LLM technical knowledge and practical experience implementing into professional workflows
Compensation
The combined base + bonus compensation range (OTE) for this role is $90,000 - $160,000 + competitive equity. The OTE range for those who meet Bonus qualifications is $160,000 - $225,000. These ranges are 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 @ HebbiaPTO:
Unlimited
Insurance:
Medical + Dental + Vision + 401K + Wellness Benefits
Eats:
Catered lunch daily + doordash dinner credit
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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0
応募クリック数
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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
Mid/L4
Mid/L4 · Strategy and Special Projects
1件のレポート
$172,500
年収総額
基本給
$150,000
ストック
-
ボーナス
-
$172,500
$172,500
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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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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