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求人Hebbia

Forward Deployed Investor (AI Strategist)

Hebbia

Forward Deployed Investor (AI Strategist)

Hebbia

London, UK; New York City

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On-site

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Full-time

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1w ago

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

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

Hebbiaについて

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

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

Reddit

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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&#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

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5w ago

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1