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求人Hebbia

Solutions Engineer - Partnerships

Hebbia

Solutions Engineer - Partnerships

Hebbia

New York City

·

On-site

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Full-time

·

1d 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 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 Partnerships Solutions Engineer at Hebbia, you are the technical and strategic lead for activating our data and system partnerships in the field. You operate at the intersection of partnerships, sales, and product — ensuring that Hebbia’s integrations with market data providers and fintech platforms translate into real, differentiated value during pre-sales and customer engagements.

You are responsible for bringing partnerships to life. This means deeply understanding partner datasets and systems, translating them into compelling solution narratives, and embedding them into high-impact evaluations and workflows that accelerate revenue.

You bring clarity to complexity across ecosystems. You understand how financial data flows, how systems interconnect, and how to position Hebbia as the intelligence layer across that stack. You design and deliver integrated solutions that validate value, reduce decision risk, and strengthen both Hebbia’s and our partners’ commercial outcomes.

You operate as a trusted advisor to sophisticated buyers navigating fragmented data environments, tooling sprawl, and high-stakes decisions. Your job is to connect the dots across systems, data, and workflows; and prove why Hebbia is essential infrastructure.

This role is based out of Hebbia’s New York City office in So Ho.

What You’ll Do

  • Own the technical strategy for partnership-driven deals, from discovery through close
  • Lead joint pre-sales motions with partners, activating integrations with market data providers, content platforms, and fintech systems
  • Develop a deep understanding of partner datasets, APIs, and system capabilities, and translate them into differentiated Hebbia solutions
  • Design and configure integrated AI-powered workflows that combine Hebbia with partner data and systems to create real-world value
  • Act as the technical face of partnerships in the field, supporting co-selling, joint demos, and strategic accounts
  • Deliver high-stakes integrated demos and solution narratives to senior stakeholders, showcasing cross-platform value
  • Identify gaps in integrations or positioning, and drive feedback loops to product and partnerships teams
  • Surface risks early across multi-party deals, and align stakeholders to accelerate activation and deal progression
  • Enable internal teams (Sales, Partnerships) with clear frameworks and best practices for positioning ecosystem value

Who You Are

  • 5+ years in a customer-facing technical role in complex enterprise environments (Solutions Engineering, Sales Engineering, Consulting, or similar)
  • Experience working with market data, financial datasets, or fintech platforms (e.g., market data platforms, CRMs, virtual data rooms, portfolio monitoring tools, research platforms, or data infrastructure systems)
  • Strong understanding of the financial technology ecosystem and how systems and data integrate across workflows
  • Comfortable driving partnership or ecosystem-led pre-sales motions, including joint solutions and co-selling
  • Able to translate complex, multi-system environments into clear, structured solution strategies
  • Strong executive presence with a bias for ownership in high-ambiguity, performance-driven environments

Compensation

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

What Success Looks Like in 6–12 Months

  • You independently lead technical discovery, demos, and evaluations for partnership-driven opportunities, embedding partner data and systems into Hebbia solutions
  • You are a trusted partner to Sales and Partnerships, advancing deals by clarifying ecosystem value and strengthening joint solution narratives
  • You activate partnerships in the field, translating integrations into tangible customer outcomes across pre-sales and early deployments
  • You deliver integrated, high-impact demos that showcase Hebbia across market data, CRMs, and other fintech systems
  • You proactively identify risks across multi-system, multi-party environments and drive alignment on mitigation strategies
  • You meaningfully contribute to pipeline and revenue influenced by partnerships, improving win rates and deal velocity
  • You build reusable assets and playbooks that scale how Hebbia and partners position and deliver joint value
  • You provide structured feedback on integrations and ecosystem gaps, and are viewed internally as a go-to leader for partnership activation

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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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

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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1