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求人Hebbia

Solutions Engineer

Hebbia

Solutions Engineer

Hebbia

London, UK

·

On-site

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Full-time

·

2w 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 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.

About the Solutions Engineering Team

The Solutions Engineering team converts buyer interest into enterprise conviction. In complex evaluations where customers are underwriting risk, they structure ambiguous problems, build tailored AI workflows, and validate value inside real data environments. This work directly drives win rates, accelerates deal cycles, and gives executives confidence to adopt — making the team a primary driver of revenue and product credibility, not a sales support function.

As Hebbia moves up-market and into new segments and geographies, every expansion requires deeper technical validation, requiring the Solutions Engineering team to rapidly grow and scale. Their learnings compound into repeatable solution patterns that sharpen positioning and unlock larger deals, turning the function into a core lever of scalable growth.

Role Overview

As a Solutions Engineer at Hebbia, you are a revenue-critical leader who owns the technical strategy in complex, high-scrutiny enterprise evaluations. You operate at the intersection of commercial leadership and AI execution, shaping structured solution strategies while proving real value during the buying process.

You bring clarity to ambiguity. You translate complex enterprise problems into structured, Hebbia-driven solution approaches that executives can confidently act on. At the same time, you design tailored AI-powered workflows and evaluations that validate impact, reduce decision risk, and strengthen the commercial narrative.

You operate as a trusted advisor to sophisticated buyers navigating ambiguity, risk, and scale. Your job is to clarify thinking, reduce decision risk, and prove value in environments where accuracy, speed, and explainability matter.

What You’ll Do

  • Own technical strategy from discovery through close in complex enterprise sales cycles

  • Lead rigorous technical discovery to understand workflows, data realities, constraints and executive success criteria

  • Translate ambiguous customer challenges into clear structured Hebbia solution frameworks

  • Design and configure tailored AI-powered workflows to prove differentiated value during evaluations

  • Deliver high-stakes live demos and technical discussions with senior stakeholders

  • Surface risks early, challenge assumptions, and shape mitigation strategies that accelerate deal progression

  • Partner closely with Sales to increase win rates, deal velocity, and executive confidence

  • Provide structured product feedback that sharpens positioning and informs roadmap decisions

Who You Are

  • 5+ years in a customer-facing technical role within complex enterprise sales environments (Solutions Engineering, Sales Engineering, Consulting, Implementation, or similar)

  • Deep experience with AI systems, data platforms, LLM based workflows or decision intelligence platforms

  • Demonstrable executive presence, able to earn trust from C-Suite practitioners

  • Strong at structuring ambiguous problems into clear, defensible solution approaches

  • Strong preference for experience selling to or performing Analyst roles in Banking, Asset Management, Private Markets, Legal or Enterprise Knowledge teams in complex enterprise environments

  • Comfortable operating in high-expectation, performance-driven environments

Compensation

70:30 (50% split team & 50% individual) Uncapped on individual performance.

The combined base + bonus compensation range for this role is $150,000 - $200,000 + competitive equity. 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 @ Hebbia

PTO: 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

What Success Looks Like in 6–12 Months

  • You independently lead technical discovery, demos, and evaluations for complex enterprise opportunities across at least one core Hebbia vertical

  • You are a trusted partner to Sales, consistently helping advance deals by clarifying technical fit, reducing buyer risk, and strengthening the solution narrative

  • You deliver confident, repeatable demos that clearly articulate Hebbia’s value to both practitioners and executive stakeholders

  • You proactively identify technical risks and objections early in the sales cycle and help shape effective mitigation strategies

  • You meaningfully contribute to deal outcomes, with clear influence on win rates, deal velocity, and customer confidence

  • You are fluent in Hebbia’s platform, workflows, and common customer use cases, requiring minimal day-to-day oversight

  • You contribute reusable demo assets, narratives, or discovery insights that improve team-wide effectiveness

  • You provide high-quality, structured feedback from customer conversations that informs product and roadmap decisions

  • You are viewed internally as a reliable, thoughtful, and high-judgment Solutions Engineer who raises the bar for the team

Why Hebbia

Hebbia is redefining how teams work with complex information, turning unstructured data into clarity, speed, and confident decision-making. As a Solutions Engineer, you’ll sit at the center of that transformation, working directly with some of the most demanding and thoughtful buyers in the world.

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応募クリック数

0

模擬応募者数

0

スクラップ

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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

Junior/L3

Junior/L3 · Analyst

1件のレポート

$156,000

年収総額

基本給

$120,000

ストック

-

ボーナス

-

$156,000

$156,000

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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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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