Forward Deployed Product Manager

Hebbia AI•San Francisco, CA
•$180,000 - $320,000•Onsite

About The Position

Hebbia is seeking a Forward-Deployed Product Manager to help financial institutions apply AI to their workflows. The role owns customer engagements from identifying the right problem and agreeing on success criteria through implementation, rollout, and measurable business impact. The Product Manager works directly with customers and engineers to build solutions using Hebbia’s products and platform, serving as the product lead for engagements and coordinating decisions among users, business sponsors, and technical teams. The work includes spending time onsite, testing workflows with real data, and addressing integration, permission, and adoption constraints. The role is accountable for delivering working solutions and helping successful approaches become reusable across customers. Regular travel and onsite customer work are required.

Requirements

  • 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, including the ability to investigate problems and make practical tradeoffs with engineers.
  • Strong product and commercial judgment, including defining a valuable first release, assessing delivery effort, and making clear recommendations with incomplete information.
  • Clear communication with executives, end users, and engineers; ability 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 delivery details, test solutions, troubleshoot issues, and follow through until customers use them successfully.
  • Comfort with regular travel and onsite customer work, including multi-day visits during discovery and deployment.

Nice To Haves

  • Experience with enterprise software deployments, financial services workflows, or AI-powered applications.

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 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 for engineering teams.
  • Partner with engineers on integrations, data access, permissions, and AI behavior; make product decisions and resolve dependencies during implementation.
  • Lead day-to-day delivery relationships with customer stakeholders, communicate progress, surface risks, and manage scope and priority changes.
  • 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 workflows deliver agreed business outcomes 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.

Benefits

  • Unlimited PTO.
  • Medical, dental, and vision insurance.
  • 401(k).
  • Catered lunch daily.
  • DoorDash dinner credit when staying late.
  • Parental leave: three months for non-birthing parents and four months for birthing parents.
  • Fertility benefits: $15,000 lifetime benefit.
  • Competitive new-hire equity grant.
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