--- title: 'Forward Deployed Product Manager at Hebbia AI' canonical: 'https://feeny.ai/job/forward-deployed-product-manager-hebbia-ai-new-york-rj1zmky9cydk' type: 'job' last_seen: '2026-10-30' --- # Forward Deployed 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/1485877b-157a-4a61-98b7-8701fca03380 ## 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 Forward-Deployed Product Manager to help financial institutions put AI to work in their own workflows. You will own customer engagements from identifying the right problem and agreeing on success through implementation, rollout, and measurable business impact. You will work directly with customers and engineers to build solutions using Hebbia's products and platform. You will be the product lead for your engagements, working with users, business sponsors, and technical teams to make decisions and keep delivery moving. This means spending time onsite, testing workflows with real data, and addressing constraints around integrations, permissions, and adoption. You should enjoy being accountable for a working solution and helping successful approaches become reusable across customers. ## Responsibilities - Lead customer discovery to understand the business problem, current workflow, available data, and implementation constraints; agree on scope and measurable success criteria - Work with sales and customer teams to assess new opportunities, shape a feasible first engagement, and identify where AI can deliver meaningful value - Translate customer needs into requirements, workflow designs, prototypes, and delivery plans that engineers can build against - Partner with engineers on integrations, data access, permissions, and AI behavior; make product decisions and resolve dependencies throughout implementation - Lead the day-to-day delivery relationship with customer stakeholders, communicating progress, surfacing risks early, and managing changes to scope and priorities - Validate solutions against representative customer tasks, define acceptance criteria, and resolve quality and reliability issues before rollout - Own rollout, user enablement, and adoption; measure whether the deployed workflow delivers the agreed business outcome and address gaps - Identify patterns across engagements and work with product and engineering teams to turn successful solutions into reusable capabilities and deployment practices - Work onsite with customers and travel regularly for discovery, implementation, and rollout ## Who You Are - Experience shipping software with engineering teams and independently leading customer implementations from discovery and scoping through launch and adoption - Experience delivering for customers under pressure, navigating conflicting stakeholder priorities, and constructively challenging requests to protect quality and outcomes - Technical fluency with APIs, integrations, and data systems, with the ability to investigate problems and make practical tradeoffs with engineers - Strong product and commercial judgment: able to define a valuable first release, assess delivery effort, and make clear recommendations with incomplete information - Clear communication with executives, end users, and engineers; able to explain technical constraints and build agreement on a practical plan - Hands-on use of AI tools to build prototypes, analyze data, and investigate workflow problems - Willingness to own the details of delivery, test the solution yourself, troubleshoot issues, and follow through until customers are using it successfully - Comfortable traveling regularly and working onsite with customers, including multi-day visits during discovery and deployment - Experience with enterprise software deployments, financial services workflows, or AI-powered applications 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 - [Product Manager](https://feeny.ai/job/product-manager-hebbia-ai-new-york-eafh84972g5r) — 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