Director of AI Strategy - Engineering Productivity

Posted

ZscalerSan Jose, California, USAfull-timedirector

$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 CollaborationTransparent LeadershipPay Transparency

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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