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
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