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Forward Deployed Product Manager

Join Hebbia AI as a Forward Deployed Product Manager to lead AI integration in financial workflows.

Location
NYC
Compensation
$180k–$320k/yr
Level
mid
Type
full time · On-site

Posted by employer 1 week ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Skills & Technologies

What you'll build

  • Lead customer discovery to understand business problems
  • Translate customer needs into requirements and delivery plans
  • Partner with engineers on integrations and AI behavior
  • Lead day-to-day delivery relationship with customer stakeholders
  • Own rollout, user enablement, and adoption

Must have

  • Experience shipping software with engineering teams
  • Experience delivering for customers under pressure
  • Technical fluency with APIs and data systems
  • Clear communication with executives and engineers
  • Willingness to own the details of delivery

Nice to have

  • Experience with enterprise software deployments
  • Experience in financial services workflows
  • Experience with AI-powered applications

Practical constraints

  • Comfortable traveling regularly and working onsite with customers

AI in the day-to-day

Hands-on use of AI tools to build prototypes, analyze data, and investigate workflow problems.

Not disclosed in this posting: years of experience, visa sponsorship.

Benefits

401k Match Unlimited PTO Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

The Forward Deployed Product Manager at Hebbia AI is responsible for guiding financial institutions in integrating AI into their workflows, from initial problem identification to implementation and measuring business impact. This role requires a strong technical background, particularly in APIs and data systems, along with experience in managing customer engagements and delivering software solutions under pressure. Ideal candidates will have a history of leading software deployments, especially in financial services, and must be comfortable working closely with both clients and engineering teams. Regular travel for onsite customer interactions is a key aspect of this position.

Joblaze insights

  • Listed 7 days ago — first seen on Joblaze October 31, 2026. Last confirmed on Hebbia AI's careers page November 6, 2026.
  • Salary band is in line with the typical range for Product roles (median ~$185,000).
  • Starts above 69% of 16 comparable mid product roles in United States that list AI/ML we track (median $165,000 across 15 companies). See AI/ML salary trends
  • AI/ML appears in 30.8% of 159 comparable mid product roles in United States.

Quick facts

Is the Forward Deployed Product Manager role remote?
No — this is an on-site role in NYC.
What's the salary range?
Hebbia AI lists $180,000–$320,000 for this role.
Where is the role based?
Hebbia AI is hiring for this position in NYC.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML.
What seniority level is this role?
Hebbia AI targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Forward Deployed Product Manager role at Hebbia AI.

From the original posting

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.

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

  • Fertility benefits: $15K lifetime benefit

#LI-Onsite

Standard company text repeated across Hebbia AI's postings is omitted here.

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