Netomi
Partner Solutions Architect
San Mateo, CA · Exec
Work authorization requiredDetected 67 days ago
Agentic AIPublic Speaking
About the role
- You will operate as both a hands-on builder and a front-line technical seller-leading POCs, writing and reviewing code where needed, and translating complex architectures into clear business value for executive stakeholders.
- You are equally comfortable writing code for a live POC as you are presenting a solution strategy to a CIO or CTO.
Company info
- Netomi is the leading agentic AI platform for enterprise customer experience.
- We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey.
- Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case.
- Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.
- Want to be part of the AI revolution and transform how the world's largest global brands do business?
- We are seeking a highly technical and customer-facing Partner Solutions Architect to play a critical role in driving revenue through enterprise deals and partner ecosystems.
Equal opportunity
- Disclaimer: For all United States-based applicants, please note that Netomi participates in E-Verify for the purpose of work authorization.
- More information on E-verify can be found here and here.
- Netomi is an equal opportunity employer committed to diversity in the workplace.
- We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
Visa & Work Authorization
- Disclaimer: For all United States-based applicants, please note that Netomi participates in E-Verify for the purpose of work authorization.
This listing is sourced directly from Netomi's careers page and normalized into a canonical job model.