5-7 years of experience in product management or related field
Proven track record of leading customer implementations from discovery to rollout
Technical fluency with APIs, integrations, and data systems
Strong communication skills with diverse stakeholders
Hands-on experience with AI tools for prototyping and data analysis
Ability to navigate conflicting priorities and protect project quality
Experience in enterprise software or financial services is a plus
Responsibilities
Lead customer discovery to identify business problems and define success criteria
Collaborate with sales and customer teams to shape initial engagements
Translate customer needs into actionable requirements and delivery plans
Partner with engineers to manage integrations and resolve implementation dependencies
Maintain communication with customer stakeholders on project progress and risks
Validate solutions against customer tasks and ensure quality before rollout
Own user enablement and measure the success of deployed workflows
Identify successful patterns across engagements for reuse in future projects
Benefits
Unlimited PTO
Comprehensive medical, dental, and vision insurance
Daily catered lunch and DoorDash dinner credit for late work
Generous parental leave policy
Fertility benefits with a $15K lifetime cap
Competitive equity package with significant upside potential
Full Job Description
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
