Director of AI Strategy - Engineering Productivity
Posted
$206,500 USD
Tech Stack
Responsibilities
- Own the centralized AI strategy, roadmap, and governance for R&D, managing use case identification, technology stacks, vendor evaluations, and the evolution of the AI operating model.
- Lead a team of AI/ML developers, analysts, and program managers to deliver scalable AI solutions that improve engineering velocity, quality, and productivity.
- Architect and operate the core AI platform layer, including MCP servers, agent frameworks, retrieval pipelines, model access patterns, and telemetry.
- Run cross-functional AI programs—managing intake, prioritization, and delivery—while partnering with DevSecOps and Architecture to embed AI into engineering workflows.
- Drive measurable AI adoption across engineering teams by leading Voice-of-the-Customer programs and change-management initiatives.
Benefits
- 401k
- Equity
- Health Insurance
- Learning Budget
- Parental Leave
Culture
Impact-OrientedConstructive, Honest DebateHigh-Performing TeamsCustomer-ObsessedCross-Functional Collaboration
Requirements
Required: Bachelor’s degree in Computer Science or a related technical field
Preferred: Master’s degree, MBA, or advanced certifications in AI/ML/MLOps
Regions: Us
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About Zscaler
Industry: cybersecurity
Size: enterprise
Zscaler accelerates digital transformation, leveraging an AI-forward approach and the world's largest security data lake to power its cloud-native Zero Trust Exchange platform, protecting customers from cyberattacks and data loss.
View company profile →Compensation
Base salary: $206,500 USD