NinjaTech AI

16 Total Employees
Year Founded: 2022

Jobs at NinjaTech AI

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Recently posted jobs

YesterdaySaved
In-Office or Remote
8 Locations
Artificial Intelligence
Build and deploy custom AI agent workflows for enterprise customers. Integrate NinjaTech’s platform with customer data sources, identity systems, CRMs, ticketing platforms, and internal APIs. Lead technical discovery, security reviews, go-live, adoption, and expansion while translating customer needs into architecture and agent solutions. Develop prompts, tools, guardrails, and automations; instrument usage; collaborate with product and engineering; and support enterprise technical due diligence. Requires Bay Area onsite work and up to 25% customer travel.
21 Days AgoSaved
In-Office or Remote
8 Locations
Artificial Intelligence
Own and build NinjaTech’s partner enablement program for Infosys. Develop onboarding, training, certification, collateral, demos, implementation playbooks, and a partner knowledge base. Equip Infosys sales, solutions, and delivery teams to independently position, sell, deploy, and support SuperNinja. Track enablement and pipeline KPIs, run joint go-to-market activities, and collaborate with Product, Sales, and Solutions Engineering to keep partner materials current.
21 Days AgoSaved
In-Office or Remote
8 Locations
Artificial Intelligence
Owns NinjaTech AI’s marketing function from the ground up, including positioning, product launches, demand generation, content, PR, social media, website optimization, sales enablement, events, partnerships, analytics, and marketing operations. The role requires a hands-on B2B enterprise marketer who can translate complex AI technology for technical buyers, build pipeline, manage campaigns and channels, and establish scalable marketing processes.
2 Months AgoSaved
In-Office or Remote
8 Locations
Artificial Intelligence
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.