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Role expectations:
- Embed with GTM leaders, RevOps, and product owners to map the revenue lifecycle and set the GTM AI roadmap.
- Build and deploy secure, production-grade AI solutions using RAG, structured-data querying, and agentic workflows.
Success profile:
- Thrive in ambiguity and navigate between high-level strategy and hands-on execution.
- Act like an owner, collaborate with candor, and drive measurable revenue outcomes.
Minimum qualifications:
- 5+ years of software engineering experience, including 3+ years on AI/ML projects.
- Hands-on experience with retrieval methods, agentic orchestration, MCP, and securing AI systems.
Zscaler
Zscaler accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The company's Zero Trust Exchange platform protects thousands of customers globally, and it is building an AI-native culture centered on ownership, collaboration, and ongoing feedback.