Jobs / United States / Zscaler INC

Product Marketing Manager - AI Protect

Zscaler INC · 🇺🇸 San Jose, California, USA

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 129 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 36 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • What Zscaler INC paid sponsored hires in similar roles4 certified filings for “Senior Director, Product Marketing” (Marketing Managers) in CA: $225k–$288k, median $248k. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

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Sponsor Radar — Zscaler INC

129 H-1B filings certified since Oct 2025

The US Department of Labor certified 129 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 36 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Zscaler INC →

About the role

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Product Marketing Manager – AI Protect to join our team. This is a hybrid role based in San Jose, reporting to the VP, Product Marketing – AI Security in the Marketing department. Enterprise security teams are navigating a two-front AI challenge: employees are adopting AI tools faster than security teams can track, creating data exposure risks and shadow AI sprawl — while adversaries are weaponizing AI to launch faster, harder-to-detect attacks. AI Protect is Zscaler's answer to both. As the Sr. PMM for AI Protect, you will own the go-to-market strategy, positioning, and field enablement for one of Zscaler's most strategically important and competitively active product lines — taking a sharp, differentiated story to market and equipping the global sales organization to win. This role is for someone who combines competitive sharpness with genuine customer obsession — someone who understands how security teams think, what keeps them up at night, and how to build the tools that give sellers an unfair advantage. What You'll Do (Role Expectations) • Own Marketing Strategy and Execution: Drive positioning, messaging, and cross-functional launch execution for AI Protect; partner closely with Product Management to translate roadmap investments into compelling market narratives • Develop Impactful Messaging: Create highly differentiated messaging across AI Protect’s core pillars: securing employee AI adoption (shadow AI, AI DLP, GenAI visibility) and defending against AI-powered threats (adversarial AI, AI-driven attacks) • Build Deep Persona Understanding: Establish a profound grasp of the multi-persona buying center—including Data Security owners, SecOps teams, Risk/Compliance officers, and CISOs—and develop tailored content for each • Lead Competitive Intelligence: Monitor the competitive landscape, synthesize actionable insights, and actively enable the field to confidently differentiate Zscaler's offerings and win deals • Drive Sales Enablement Programs: Build robust field tools—including battlecards, objection handlers, and targeted sales plays—that equip account teams to navigate complex buying cycles and accelerate revenue Who You Are (Success Profile) • You are relentlessly curious. The AI threat landscape moves faster than any analyst report. New attack techniques, new tools, new buyer anxieties — you stay ahead of all of it, form your own point of view, and bring that perspective to everything you build. • You have the courage to be bold. You write competitive content with conviction. You take positions others hedge around and make sharp, arguable claims — then back them up — because that's what earns the attention of buyers who've heard every secu

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Source: Greenhouse (employer board) First seen: 2026-10-10 Last confirmed: 2026-10-10 How our data works → Report this job

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