Technical Delivery

About the role

The Technical Delivery and AI Strategy pod operates as a two-person unit on every deployment. The AI Strategist owns the domain expertise and the customer relationship, understanding the workflow, business problem, and end-user deeply. Technical Delivery is responsible for everything technical: environment setup, integrations, AI architecture, and build. Together, the pod is accountable for moving a customer from a signed contract to a live, confident, high-performing Hebbia deployment.

Role Overview

You'll take true ownership of the technical delivery lifecycle across your assigned accounts. You'll configure Hebbia environments, assist in custom AI workflows and agent builds, scope and execute integrations, and ensure customers are live and realizing value quickly. This role is for someone who is technical, moves fast, and wants early ownership. You don't need 10 years of experience; you need intellectual curiosity, real hands-on technical ability, and the drive to figure things out in an environment that doesn't hand you all the answers. This role is based out of Hebbia’s New York City office in SoHo.

What You’ll Do

• Own the technical delivery of Hebbia deployments end-to-end: from environment setup and SSO configuration through integration, workflow build, and go-live
• Scope and execute integration projects, including identity/auth setup (SSO, SAML, OAuth), data connectivity, and API-based system integrations
• Design and build customer-specific AI workflows, agents, matrices, and templates that reflect how real teams operate with support from AI Strategists and CoE
• Lead prompt engineering, process engineering, and context engineering to optimize AI outputs for specific client use cases
• Architect AI patchwork solutions that connect Hebbia's capabilities to customer data environments and adjacent tools
• Partner closely with your paired AI Strategist to translate business requirements into working technical systems
• Surface patterns, edge cases, and product feedback to Engineering and Product— you are a first-line signal for what customers actually encounter
• Build repeatable playbooks, deployment templates, and reusable components that improve speed and quality across future deployments
• Document technical configurations, integration patterns, and best practices to grow the team's collective knowledge base

Who You Are

• 2-5 years of experience in a technical implementation, solutions engineering, or engineering-adjacent role— you've shipped things in professional settings, not just in side projects
• You have built and deployed LLM-powered workflows in a professional context— prompt engineering, agent frameworks, LLM orchestration, or AI automation are familiar territory
• You've shipped real integrations: you're comfortable with REST APIs, authentication patterns (SSO/SAML/OAuth), and connecting systems that weren't designed to talk to each other
• You have strong command of structured data, configuration, and the technical building blocks of modern software stacks
• You can take a loosely defined business problem and produce a working, production-quality solution with limited hand-holding
• You are a clear, confident communicator— you can explain a technical architecture to a client's IT team in the morning and walk their end users through a workflow in the afternoon
• You have a high ownership orientation— you treat your accounts like they're yours, follow through completely, and don't drop threads
• You thrive in ambiguity and move with urgency in a fast-moving, high-expectations environment

Compensation

The salary range for this role is $120,000 - $200,000 + competitive equity. This range is 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.