---
title: 'Product Manager at Hebbia AI'
canonical: 'https://feeny.ai/job/product-manager-hebbia-ai-new-york-eafh84972g5r'
type: 'job'
last_seen: '2026-10-30'
---

# Product Manager at Hebbia AI

- **Company:** Hebbia AI
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-29
- **Last confirmed live:** 2026-10-30
- **Apply:** https://jobs.ashbyhq.com/hebbia-ai/60035c11-53ae-4c2a-bd71-57f93ca81be6

## Job description

## 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.

## The Role

We are looking for a Product Manager to own an area of Hebbia's AI product, helping investors and bankers research companies, analyze information, and produce work they can rely on. You will set product direction, choose the problems to solve, and work with engineering, design, and research to take new capabilities from discovery through adoption. You will spend time with customers, study how they use the product, and turn what you learn into improvements that serve our broader customer base. This is a hands-on role: building prototypes, defining how a workflow should behave, evaluating AI outputs, and working through the details of the experience. You will own both the roadmap and whether the product delivers lasting value after launch.

## Responsibilities

- Own the strategy and roadmap for a product area, connecting customer needs and business goals to clear priorities and measurable outcomes
- Combine direct customer research, product usage data, and lessons from customer deployments to identify needs across accounts and choose the most valuable problems to solve
- Design complete user workflows and turn them into focused requirements, prototypes, and first releases, with a clear path for iteration
- Partner closely with engineering, design, and research on product and technical tradeoffs across accuracy, usability, reliability, security, latency, and cost
- Set the quality bar for AI answers, analyses, and generated work products using representative customer tasks, clear acceptance criteria, and evaluations
- Prioritize reusable product capabilities by weighing customer value, commercial opportunity, delivery effort, and ongoing operating cost
- Drive execution by making timely product decisions, resolving open questions, and giving engineers the context to make good decisions independently
- Own launches through rollout and adoption, partnering early with sales and customer-facing teams on validation, enablement, and customer feedback
- Measure usage, task success, retention, and business impact; investigate where the product falls short and use those findings to guide the next release

## Who You Are

- Experience independently owning a software product area from discovery through launch and adoption, with demonstrated customer or business impact
- Strong product judgment and the ability to turn ambiguous problems into clear priorities, practical requirements, and focused releases
- Technical fluency with APIs, data systems, and AI products; comfortable investigating issues with engineers and reasoning about system behavior and tradeoffs
- Hands-on experience using AI tools to research, prototype, analyze data, or build software
- Strong customer instincts and commercial judgment, with curiosity about how users work and the ability to connect their needs to a product opportunity
- Strong product craft and attention to usability, with the ability to turn subjective feedback into concrete product behavior, examples, and acceptance criteria
- Clear communication and sound judgment under uncertainty; able to make recommendations, handle disagreement directly, and update your view as you learn
- Comfort with owning the details, testing the product yourself, and improving it after launch
- Experience with enterprise software, financial workflows, integrations, or AI evaluation is a strong plus

## Compensation

The salary range for this role is $180,000 to $320,000. This range may be 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
- Eats: Catered lunch daily + DoorDash dinner credit if you ever need to stay late
- 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

#LI-Onsite

## About Hebbia AI

## Company Overview
- **One-liner**: Hebbia builds AI agents purpose-built for finance, law, and other high-stakes knowledge work, enabling complex task automation over vast document sets.
- **Entity Type**: Private (Series B, $161.1M total funding)
- **Headquarters**: New York, New York, United States
- **Founded**: 2020
- **Founders**: George Sivulka

## Core Business
- **Primary Industry**: Artificial Intelligence for Finance and Professional Services
- **Target Customers**: B2B – investment banks, asset managers, hedge funds, Fortune 500 companies, law firms, and consulting firms
- **Mission / Purpose**: Deliver “the AI you were promised” – useful, citation-backed AI that handles real finance workflows at institutional scale.

## Products & Services
- **Hebbia Matrix**: Enterprise AI agent platform that interprets complex tasks, breaks them into sub-actions, and reasons over large corpora of documents (filings, research, internal docs, data feeds). Includes features like intelligent search, slide generation, spreadsheet creation, and automated workflow execution. Integrates with data providers (FactSet, S&P Capital IQ, PitchBook, etc.) and content stores (SharePoint, Box, Dropbox, AWS S3, email). Delivers citation-backed answers.

## Market Standing
- **Valuation**: Not publicly disclosed (recent Series B at $130M suggests significant growth; some sources hint at $1.5B+ post-money but unconfirmed).
- **Key Metrics**:
  - **Total Funding**: $161.1M (Pre-seed $1.1M led by Floodgate; Series A $30M led by Index Ventures; Series B $130M led by Andreessen Horowitz)
  - **AUM of Firms Using Hebbia**: $30 trillion
  - **Average Prompts Per Day**: 200,000
  - **Tokens Processed by Investors**: 2 trillion+
- **Notable Investors / Partners**: Andreessen Horowitz, Peter Thiel, Index Ventures, Floodgate. Integrates with Snowflake, FactSet, S&P Capital IQ, Guidepoint, Third Bridge, and more.
- **Growth Signals**:
  - Headcount grew 17.9% year-over-year to 124 employees (as of early 2026).
  - 41 open positions across engineering, GTM, AI strategy, and design.
  - Acquired FlashDocs in June 2025.
  - Used by over 40% of the largest asset managers by AUM and top investment banks.
  - Expanding internationally (offices in NYC, SF, London; remote roles in APAC and Middle East).

## Competitive Advantages
- **First-mover advantage in LLM productionization**: One of the first companies to use LLMs in production (2020) and pioneer retrieval-augmented generation (RAG).
- **Proprietary ISD architecture**: Matrix goes beyond chat – it runs complex, multi-step workflows defined by the client’s processes.
- **Deep domain focus**: Employees include former bankers, investors, lawyers, and consultants who understand finance workflows intimately.
- **Enterprise-grade security**: ISO/IEC 42001:2023, SOC 2 Type II, end-to-end encryption (AES-256, TLS 1.2+), no training on user data, GDPR, CCPA compliant.
- **Network effects**: Every insight and workflow a firm encodes becomes institutional knowledge reused across the team, increasing switching costs.

## Strategic Focus
- **Deepen finance vertical**: Continue replacing manual analyst workflows with AI agents for origination, screening, diligence, and reporting.
- **Expand into law and consulting**: Already serving legal and consulting firms, with dedicated AI Strategist roles for corporate law.
- **Scale agent collaboration**: Building “Agent Collaboration Platform” to let multiple agents work together on complex tasks.
- **International growth**: Establishing sales presence in UK/Europe, APAC, and Middle East.

## Why Work Here
- **Culture**: High ownership, hard problems, and cross-domain collaboration. Team includes ex-bankers, ex-McKinsey, ex-Google, ex-Microsoft, ex-Stripe. “The best work happens when the people doing it actually care.”
- **Work Arrangement**: Hybrid model with offices in Downtown New York, San Francisco, and London; some fully remote roles available (APAC, Middle East, certain GTM roles).
- **Perks**:
  - Startup equity
  - Competitive salary
  - Daily catered lunches
  - Flexible PTO
  - Comprehensive medical, dental, vision insurance
  - Fertility HRA
  - Parental leave
- **Engineering Culture**:
  - Small, high-impact teams.
  - Focus on reliability, scalability, and pushing the limits of applied AI.
  - 34 technical staff (22% of company).
  - Active open-source? Not mentioned, but strong internal R&D.
- **Growth Trajectory**: Rapidly scaling headcount (17% YoY), raising large rounds, and acquiring complementary tech – typical for a high-growth startup with significant market traction.

## Sources
1. [hebbia.com](https://www.hebbia.com/)
2. [hebbia.com/about](https://www.hebbia.com/about)
3. [hebbia.com/careers](https://www.hebbia.com/careers)
4. [LinkedIn/Heebia](https://www.linkedin.com/company/hebbia)
5. [PitchBook - Hebbia Profile](https://pitchbook.com/profiles/company/439260-40)

## Other roles at Hebbia AI

- [Forward Deployed Product Manager](https://feeny.ai/job/forward-deployed-product-manager-hebbia-ai-new-york-rj1zmky9cydk) — New York, NY
- [AI Strategist](https://feeny.ai/job/ai-strategist-hebbia-ai-london-sksgvwj0h7k6) — London, United Kingdom
- [Frontend Engineer, Agents](https://feeny.ai/job/frontend-engineer-agents-hebbia-ai-new-york-pgzc856tg3yz) — New York, NY
- [Director, Business Operations](https://feeny.ai/job/director-business-operations-hebbia-ai-new-york-f9gc0t3c35fg) — New York, NY
- [Software Engineer, Infrastructure](https://feeny.ai/job/software-engineer-infrastructure-hebbia-ai-new-york-91a5m8skzdhp) — New York, NY
- [AI Strategist, Corporate Law](https://feeny.ai/job/ai-strategist-corporate-law-hebbia-ai-new-york-frrkxcqjsbx3) — New York, NY
- [Forward Deployed Investor (AI Strategist)](https://feeny.ai/job/forward-deployed-investor-ai-strategist-hebbia-ai-new-york-b5hnwcxzcjkx) — New York, NY
- [Forward Deployed Banker (AI Strategist)](https://feeny.ai/job/forward-deployed-banker-ai-strategist-hebbia-ai-new-york-5rm6rzdk10vt) — New York, NY
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-hebbia-ai-new-york-dwpgd96kzfmh) — New York, NY
- [Client Partner](https://feeny.ai/job/client-partner-hebbia-ai-new-york-j8svsyb0evzf) — New York, NY