Principal AI Product Manager

Zscaler is an AI-forward enterprise that accelerates digital transformation for its customers. They are seeking a Principal AI Product Manager to define the vision and strategy for their Customer Success AI product portfolio, collaborating with various teams to enhance productivity and deliver business value.

Responsibilities:

• Define the long-term vision, strategy, and roadmap for the Customer Success AI product portfolio, aligned to business priorities and operational goals
• Identify and prioritize high-impact opportunities to apply AI across internal Customer Success workflows, including productivity, knowledge access, decision support, workflow automation, and operational intelligence
• Manage the AI product portfolio across incubation, pilot, production, scale, and optimization, leading products end to end from concept through launch, adoption, measurement, and lifecycle management
• Partner closely with Customer Success leaders, internal users, Engineering, UX, Data, AI Platform, and IT to translate pain points and complex workflows into intuitive, scalable AI-native products
• Drive prioritization and tradeoff decisions across the portfolio by balancing user value, business impact, technical feasibility, risk, governance, and platform reuse

Requirements:

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• 10+ years of product management experience delivering enterprise software, SaaS products, or internal enterprise platforms, with 3+ years leading AI-powered, Generative AI, intelligent automation, or workflow intelligence products
• Proven track record of defining long-term product strategy and managing complex product portfolios or interconnected product areas
• Strong understanding of enterprise AI concepts and architectures, including LLMs, AI agents, RAG, prompt engineering, evaluation approaches, and agentic workflows
• Experience building workflow applications, employee productivity solutions, or internal enterprise products, with a data-driven approach to defining KPIs, measuring adoption and business outcomes, and guiding prioritization
• Exceptional product judgment, communication, leadership, and stakeholder management skills, with experience working cross-functionally across Engineering, Design, Data, Platform, and business teams to drive scalable outcomes in ambiguous environments
• Experience designing organizational adoption blueprints and change-management playbooks for human-in-the-loop AI applications
• Experience launching enterprise AI platforms, copilots, or agentic solutions at scale for internal users
• Experience defining enterprise AI strategy, operating models, governance, and adoption frameworks
• Proven ability to manage a portfolio of AI products, with strong systems thinking and a focus on reusable capabilities