AI Deployment Lead HYBRID
Location: New York, NY | Work arrangement: HYBRID
Compensation: $110,000–$180,000 per year | Employment: Full-time
Experience: 3–5 years | Visa sponsorship: none available | Openings: 1
Our Ref: GEN-0003 | Client Ref: 8X5YWR3R
Company Confidential
About the Company
A confidential Series A company (11-50 employees) building AI voice agents for healthcare. Its product automates appointment scheduling, inbound call handling, and patient-provider communication so clinical staff can focus on care. It has validated strong product-market fit internationally, serving 600+ practices with 22x year-over-year growth, and is now entering the US market from its New York office. It raised a $5.5M seed round and is already signing its first US customers.
The Role
The company is signing its first US customers and needs a founding operator to own everything that happens after the sale: implementation, deployment, customer success, and account expansion. This is a greenfield role with no existing US ops playbook. It reports directly to the CEO and sits at the center of the company's ability to retain and grow its early US customer base. The primary metric is net revenue retention. The person in this seat builds the US ops function from the ground up, then grows it into a three-person team. Year-one success looks like roughly $1M in ARR deployed and in production across US accounts, with a repeatable onboarding process documented and handed off.
Key Responsibilities
- Own the full post-sale lifecycle for US customers: configure and deploy signed accounts into production, drive time-to-go-live, and maintain a high successful-deployment rate
- Be the primary point of contact for customer success, support, and account management so the sales team can stay focused on new business
- Drive retention and expansion, including upsell and cross-sell, against a personal upsell quota; net revenue retention is the core performance metric
- Build and document a repeatable US onboarding and deployment playbook covering configurations, processes, and best practices
- Develop deep product mastery to configure and go live independently, including working with AI integrations and no-code tooling as needed
- Hire and lead a small ops team as the customer base grows, with a target of three people by year-end
Requirements
- 3-5 years of experience in a customer-facing deployment, implementation, or customer success role
Interested? Apply for this role (Ref GEN-0003)