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Forward Deployed Product Manager

Hebbia AI · New York, United States

Location
New York, United States
Employment
Full time
Level
Mid level
Posted
29 October

About this role

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

As published by Hebbia AI. Applications are handled on their site.

Skills this posting mentions

FinanceArtificial IntelligenceEnterprise Software

About Hebbia AI

Hebbia is the leading AI platform for finance. Founded in 2020 by George Sivulka, Hebbia is a generative AI company backed by Andreessen Horowitz, Peter Thiel, and Index Ventures. Investment banks and over 40% of the largest asset managers by AUM use Hebbia’s AI agents to drive investment decisions and automate financial analyst workflows. Users can instantly surface insights over filings, research, and millions of internal documents, enabling citation-backed research, AI-driven document, powerpoint, and spreadsheet generation, and AI driven origination, screening, and diligence. Learn more at hebbia.com.

All 24 openings at Hebbia AI

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Apply to Hebbia AI with a resume written for this role.

Queue Forward Deployed Product Manager and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Hebbia AI’s form for you.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

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    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

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Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • New matches ranked and written before you are up.
  • Every bullet stays inside what your history supports. Nothing invented.
  • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

Free, no card. Up to 25 applications sent a week, and nothing is sent until you say so.

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