Teams at NinjaTech AI

Own product management across SuperNinja and AI Workforce, including product narrative, use-case prioritization, customer launches, onboarding, adoption metrics, feedback-driven iteration, and scalable launch playbooks. Partner with the CEO, Chief Science Officer, sales, customers, and engineering to drive product adoption, define requirements, support enterprise deployments, and establish a repeatable product operating model.

Embed with enterprise customers to design, build, and deploy production agentic AI workflows. Integrate platform with customer systems, handle security and compliance reviews, drive adoption and expansion, and feed product improvements based on field signal.

Embed with enterprise customers to deploy production agentic AI workflows: integrate data sources, identity, CRMs and APIs; handle security, SSO/SCIM, isolated VMs and compliance; drive adoption, instrument usage, and feed product improvements to scale deployments.