Jobs / United States / Zscaler INC
Senior AI Analyst, GTM Intelligence
Zscaler INC · 🇺🇸 Bellevue, Washington, USA; Dallas, Texas, USA; 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 roles1 certified filing for “Manager, Business Intelligence - GTM” (Operations Research Analysts) in CA: $173k–$173k, median $173k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. 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).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Zscaler INC
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 Senior AI Analyst, GTM Intelligence to join our team in a Remote within the United States role, reporting to the Director, CRM & PRM Applications in the Information Technology Business Apps department. You will combine deep SaaS GTM domain knowledge with experience defining decision-grade signals for sellers—across both direct and partner/channel-led selling—and partner with engineering to bring them to life as AI agents. In this role, you will identify where reps, partner managers, and leaders need real-time signals, and work with engineering to build and prioritize the roadmap for how AI-generated signals power seller decisions across the business. What You’ll Do (Role Expectations) • Partner with Sales, Partner/Channel, and RevOps leadership to identify where reps and partner teams rely on gut feel, and define signals (deal risk, expansion opportunity, churn risk, next-best-action, partner pipeline health) that convert raw GTM and co-sell data into decisions they can act on • Own the signals repository covering business logic, inputs, owner, and status for every signal, spanning direct and partner-sourced motions, as the single source of truth for GTM and engineering • Partner closely with engineering through build and iteration, translating business logic into requirements, reviewing outputs, and course-correcting based on real seller and partner behavior • Prioritize the signal roadmap across the full seller journey and both channels, and drive adoption by embedding signals into existing workflows (CRM, PRM, Slack, dashboards) • Present signal performance and business impact to GTM leadership in terms tied to revenue outcomes like pipeline conversion, retention, and rep and partner productivity Who You Are (Success Profile) • You are a strategic translator who can bridge the gap between ambiguous business needs and concrete, buildable engineering requirements. • You are highly analytical and detail-oriented, taking pride in maintaining a single source of truth that drives decisions across direct and partner channels. • You are outcome-focused and execution-driven, with a track record of delivering products that teams actually adopt rather than just creating proof of concepts. • You are an exceptional collaborator who builds strong cross-functional partnerships across Sales, RevOps, partner teams, and technical engineering departments. • You are a strong communicator who can translate complex data, performance metrics, and technical signals into compelling, revenue-focused narratives for leadership. What We’re Looking For (Minimum Qualifications) • Foundational understanding of AI/ML technologies and experience leveraging, securing, or positi