Principal Product Manager

zscaler

United States

Remote

USD 172,000 - 245,000

Full time

10 days ago
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Benefits offered by this job

Health-plan options
Vacation and sick-time programs
Parental leave
Retirement options
Education reimbursement
Additional workplace perks

Job summary

Zscaler is seeking a field-facing product strategy leader for data-security solutions across the Americas, with a focus on AI-enabled capabilities. This role sits at the intersection of product management, sales, customer engagement, and technical enablement, helping teams win and expand business while turning market feedback into roadmap and pricing decisions.

You will drive regional sales strategy, explain technical differentiation to customers, and translate field insights into product

Qualifications

  • Professional experience in a technical, customer-facing position such as product management, solutions architecture, or sales engineering.
  • Deep knowledge of data-security technologies and the ability to connect technical capabilities with measurable business outcomes.
  • Foundational understanding of AI and machine-learning technologies, including practical use of AI solutions in a professional domain.
  • Ability to move between high‑level strategy and hands‑on execution while taking ownership of ambiguous or complex problems.
  • Strong collaboration, communication, analytical, presentation, and stakeholder-management skills.
  • A growth mindset, sound judgment, integrity, and comfort giving and receiving direct feedback.

Responsibilities

  • Drive regional sales strategy and execution for a portfolio spanning data-loss prevention, data-security posture management, and AI-focused security offerings.
  • Support customer opportunities by explaining technical differentiation, business value, deployment considerations, and likely outcomes.
  • Turn field intelligence into product direction through competitive analysis, win/loss reviews, customer-commitment tracking, pricing work, pipeline analysis, and churn analysis.
  • Train and enable sales teams to position and sell data-security solutions effectively within their accounts.
  • Partner with support leaders on escalations involving major customers and the deployment of security services.
  • Provide concise, data-backed updates on deal progress, pipeline health, performance, risks, and strategic opportunities to sales and product leadership.

Skills

Product management
Solutions architecture
Sales engineering
Data security

Job description

Role overview

Own the field-facing product strategy for data-security solutions across the Americas, with particular emphasis on AI-enabled capabilities. The role sits at the intersection of product management, sales, customer engagement, and technical enablement: helping teams win and expand business while converting market feedback into roadmap, pricing, positioning, and portfolio decisions.

Responsibilities
  • Drive regional sales strategy and execution for a portfolio spanning data-loss prevention, data-security posture management, and AI-focused security offerings.
  • Support customer opportunities by explaining technical differentiation, business value, deployment considerations, and likely outcomes.
  • Turn field intelligence into product direction through competitive analysis, win/loss reviews, customer-commitment tracking, pricing work, pipeline analysis, and churn analysis.
  • Train and enable sales teams to position and sell data-security solutions effectively within their accounts.
  • Partner with support leaders on escalations involving major customers and the deployment of security services.
  • Provide concise, data-backed updates on deal progress, pipeline health, performance, risks, and strategic opportunities to sales and product leadership.
Requirements
  • Professional experience in a technical, customer-facing position such as product management, solutions architecture, or sales engineering.
  • Deep knowledge of data-security technologies and the ability to connect technical capabilities with measurable business outcomes.
  • Foundational understanding of AI and machine-learning technologies, including practical use of AI solutions in a professional domain.
  • Ability to move between high‑level strategy and hands‑on execution while taking ownership of ambiguous or complex problems.
  • Strong collaboration, communication, analytical, presentation, and stakeholder-management skills.
  • A growth mindset, sound judgment, integrity, and comfort giving and receiving direct feedback.
Benefits and work setup
  • Remote role serving customers and teams across the Americas.
  • Listed U.S. base salary range: $171,500–$245,000, excluding any applicable commission, bonus, equity, and benefits.
  • Benefits include health-plan options, vacation and sick-time programs, parental leave, retirement options, education reimbursement, and additional workplace perks.
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