Job Description
📋 Description Hybrid role based in San Jose, CA; reports to EVP, AI Security. Define AI Ecosystem Strategy with frontier models, vector databases, and AI infrastructure leaders. Lead Secure AI roadmap for safe use of 3rd-party LLMs and data leakage prevention. Build developer ecosystem with APIs, SDKs, and Zero Trust native app patterns. Drive growth via cross-functional partnerships turning complex integrations into go-to-market motions. Architect Zscaler AI ecosystem bridging Zero Trust, LLMs, GPU infra, and AI frameworks. 🎯 Requirements 8+ years of technical leadership or engineering partnerships building industry relationships. Deep fluency in AI lifecycle: training vs inference, GPU roles, context windows, and RAG. Ability to apply first-principles thinking to security and networking challenges in enterprise LLM deployment. Strong bias for action with a Ship Early, Iterate Fast mentality delivering high-value MVPs. Foundational understanding of AI/ML tech and experience leveraging AI-driven solutions to optimize outcomes. Proven track record building developer and partner ecosystems at scale. 🎁 Benefits Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more!
