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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
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
This role is focused on supporting the post-sales team (Client Partnerships, AI Strategy).
You would play a critical role at Hebbia and be responsible for driving operational excellence of the post-sales organization, working closely with customer facing teams to own initiatives that accelerate customer value from ideation to execution.
We’re looking for ambitious and highly skilled individuals with hands-on experience in operations and analytics, who can not only develop strategic frameworks but can translate ideas into flawlessly executed programs. A strong candidate requires a blend of strategic first-principles thinking, operational experience, and analytical expertise, with a hunger to build with tools to automate how the team works.
If you enjoy solving challenging problems and building strong relationships and teams while doing so, we’d love to hear from you!
This team works in person 5 days a week at our So Ho office in NYC.
Responsibilities
- Act as a thought partner to post-sales teams and adjacent GTM leaders to uncover insights into the performance of the business, develop recommendations, and implement programs to enhance our post sales functions
- Lead strategic analyses to identify trends, gaps, and opportunities for process optimization; lead cross-functional projects to drive those optimizations
- Design, build and manage a model that guides resource allocation globally by vertical
- Partner with GTM Leadership to define vertical-specific coverage models and high impact activities across the customer lifecycle, linked to revenue outcomes. Monitor and report on vertical performance
- Drive risk & upsell forecasting and provide actionable recommendations and process improvements to manage at-risk accounts
- Ensure data cleanliness and accuracy within the GTM tech stack
- Support the post-sales teams’ operating cadence and business processes
- Serve as the connective tissue between post sales and the rest of the GTM organization
- Collaborate with Revenue Operations team on top-line metrics analyses, commission inquiries and disputes, and other ad hoc reporting requests
Who You Are
- 5+ years of progressive experience in revenue/customer success/technical solutions strategy and operations or equivalent role at a high growth SaaS company; bonus if you have experience in management consulting or banking as well
- Excellent first principles thinking skills
- Strong analytical skills; ability to thoughtfully structure analyses, answer key business questions, and drive decision making
- This is a first-in-seat role, you’ll be working through high amounts of ambiguity and expected to work with senior leaders to prioritize initiatives
- Experience in fast-paced environments and be comfortable working both as part of a team and independently
- Demonstrated ability to prioritize workload and manage multiple concurrent projects
- Strong verbal and written communication skills; ability to work effectively with cross-functional teams
- Experience building Salesforce reports and dashboards, knowledge of how SFDC applications integrate with each other, and ability to enable team on SFDC best practices and related tools
- Familiarity with related GTM systems (Salesforce, Hubspot, Gong, Outreach, Apollo, Clay, etc.)
Compensation
The combined base + bonus compensation range (OTE) for this role is $160,000 - $220,000. This range is 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
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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 · Project Manager
0件のレポート
$179,100
年収総額
基本給
$179,100
ストック
-
ボーナス
-
$152,235
$206,265
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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