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Hebbia AI

AI-powered browser extension for intelligent search

Forward Deployed Engineer

Full-Time
$180k - $300k/yr+ Equity grant
Senior
San Francisco, CA, USA+1 moreMore locations: New York, NY, USA
In PersonFive days on-site per week required in the New York City or San Francisco office.
Software EngineeringAI Application Engineering

About the job

Requirements
  • At least 5 years of software development experience at a venture-backed startup or top technology firm.
  • Strong full-stack engineering skills across APIs, data pipelines, frontend development, and infrastructure as needed.
  • Ability to work effectively in ambiguous situations involving messy and underspecified customer problems.
  • Ability to prototype, validate, and ship solutions quickly.
  • Strong communication skills, including the ability to serve as the primary technical point of contact for engineers and executives.
  • Experience with cloud platforms such as Amazon Web Services and modern backend technologies including Python, TypeScript, and Go.
Responsibilities
  • Embed with strategic accounts to deeply understand their domain, data, and workflows.
  • Build custom integrations, workflow automations, and domain-specific solutions on top of Hebbia’s platform.
  • Write production code that deploys through continuous integration and continuous delivery pipelines and meets engineering standards.
  • Own the technical relationship with the customer’s team during the engagement.
  • Prototype quickly, validate solutions with the customer, iterate, and ship.
  • Work with engineering and product after engagements to generalize reusable patterns into platform capabilities.
  • Participate in code review, on-call rotation, and architecture discussions alongside core engineering.
  • Build connectors to customer data sources and document management systems.
Desired Qualifications
  • Experience with data integrations, ETL pipelines, or enterprise data systems such as S3, Snowflake, or SharePoint.
  • Experience with large language models, retrieval-augmented generation systems, or applied artificial intelligence.
  • Prior experience in finance, legal, or consulting domains.
  • Experience with customer-facing engineering roles such as solutions engineering or professional services.

About the company

Hebbia AI provides an AI-powered browser extension that enhances information search inside long documents, going beyond the traditional Ctrl-F by understanding the context of your questions and highlighting the most relevant passages. How it works: the extension analyzes your query, applies artificial intelligence to interpret context, and then instantaneously marks the most pertinent text within documents you visit, helping professionals navigate large amounts of content more quickly. How it differs from competitors: it focuses on context-aware, document-level understanding to speed up information retrieval, aiming to be about 20 times faster than standard search, and targets knowledge-heavy roles like researchers, analysts, legal professionals, and engineers. Its goal is to become a essential productivity tool for professionals by delivering fast, accurate information access through an AI-powered search experience, with a subscription or licensing model after its private beta.” } ?>

Company Size

51-200

Company Stage

Series B

Total Funding

$159.7M

Headquarters

San Francisco, California

Founded

2020

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Simplify's Take

What believers are saying

  • March 2026: Hebbia reported 373% EMEA revenue growth and expanding enterprise deployments.
  • August 2026: Daily active usage tripled since May after Matrix 2.0 rollout.
  • September 2026: New data partnerships with Daloopa, S&P, Snowflake, and Outlook deepen lock-in.

What critics are saying

  • August 2026: Harvey, Rogo, and Legora now match Hebbia’s agents and table workflows.
  • Hebbia still has no new funding since July 2024; rivals are raising aggressively.
  • If Matrix 2.0 stalls adoption, Hebbia becomes a niche workflow tool, not a platform.

What makes Hebbia AI unique

  • September 2026: Matrix 2.0 turns document search into memos, decks, models, and emails.
  • Hebbia’s finance and legal-specific skills embed CapIQ, FactSet, S&P, Daloopa, and SEDAR+.
  • Max and MCP integrations let Hebbia run inside ChatGPT, Claude, Cursor, and internal apps.

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Benefits

  • Unlimited Paid Time Off
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Wellness Program
  • Parental Leave
  • Fertility Treatment Support
  • Company Equity

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

-1%

2 year growth

2%
Yahoo Finance
Oct 20th, 2026
Datasite partners with Hebbia to bring AI analysis to live data room documents

Datasite, an M&A infrastructure provider, has partnered with Hebbia, an AI platform for institutional finance. Shared customers can now analyse live Datasite data room content inside Hebbia, without downloading and re-uploading files. Hebbia answers diligence questions with citations to source documents, flags risks and value drivers, and drafts deal materials. Datasite permissions still control what each user can access. Because the tool works on live documents, analysis reflects the latest versions. Users can also combine data room content with a firm's prior deals, public filings, and market data. The integration is available to Hebbia customers with active Datasite projects.

Yahoo Finance
Jan 19th, 2026
Hebbia integrates Preqin data into AI platform to streamline private markets research

Hebbia has integrated Preqin private markets data into its AI-powered research platform, providing investment professionals with enhanced analytical capabilities across private equity, venture capital, real assets and private debt. The integration enables users to query and analyse private market intelligence directly within their existing workflows. Preqin maintains comprehensive datasets covering fund performance, investor profiles, deal activity and fundraising trends across global private markets. By incorporating this data, Hebbia aims to reduce operational friction associated with manual data extraction and static reporting. The integration allows investment teams to conduct queries on fund track records, manager performance and capital flows alongside internal documents and regulatory filings within a single platform. This addresses challenges related to data transparency in private markets, where investments often lack standardised disclosure, by providing structured datasets for benchmarking and comparative analysis.

Business Wire
Jun 27th, 2025
Hebbia Acquires FlashDocs to Extend AI Workflow Automation

Hebbia, the AI platform for finance, today announced its acquisition of FlashDocs, a leader in generative AI slide deck creation. The acquisition expands Heb...

TheNextGenTechInsider
Apr 12th, 2025
AI Agents Revolutionize Investment Research

Hebbia raised $130 million in funding last year at a $700 million valuation, backed by investors like Index Ventures, Peter Thiel, and Andreessen Horowitz.

Hebbia
Jan 17th, 2025
Matrix and OpenAI o1: Smarter AI Agents

Earlier this year, Hebbia Inc. launched the first multi-agent AI platform, Matrix.