Jobs / United States / Zscaler INC
AI Solutions Engineer, People & Culture
Zscaler INC · 🇺🇸 Bellevue, Washington, USA; Santa Clara, 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 “Sales Engineer, Solutions Center” (Sales Engineers) in WA: $88k–$88k, median $88k. Most were filed at wage level I (100%) — 1 lottery entry, ≈15% 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.
Or apply yourself on the official page →
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. We are looking for an AI Solutions Engineer, People & Culture to join our team. This is a hybrid role (in office Tuesday-Thursday) in our Santa Clara, CA HQ or Bellevue, WA office, reporting to the AI Transformation Director in the Global People & Culture Organization. Human Resources is being transformed around Human + AI optimization, and you will be the driving force behind this transformation. Part builder, part co-builder, and part teacher, you will spearhead our transition to an AI-native HR function by encoding the judgment of our best practitioners into safe, governed agents that seamlessly integrate with human ingenuity to unlock unprecedented outcomes. What you’ll do (Role Expectations) • Design, deploy, and continuously improve the most impactful and high-risk agents using Gemini agent builder, Claude, Codex, and MCP integrations, owning the full maturity path from initial prototype to a hardened, governed product • Pair deeply with subject matter experts—from compensation analysts to recruiters—to build domain-specific agents, transferring your technical craft so they can independently maintain and evolve their own tools • Redesign workflows from the inside out to ensure we solve fundamental process issues rather than simply automating a broken system • Operate what you ship as a true product owner by monitoring adoption, diagnosing failures, and guiding stakeholders to turn skeptics into sponsors • Partner closely with the AI Center of Excellence and Forward Deployed Engineering team to solve the hardest technical integration challenges on shared rails, as well as co-create mature governance standards Who You Are (Success Profile) • You are a “Figure-it-out” person who navigates ambiguity with ease and addresses fundamental process issues rather than bolting AI onto the current state • You are technically fluent and a proven builder with a portfolio of shipped, adopted GenAI agents, hands-on with skills, MCPs, data, automations, prompt design, and evals • You are a force multiplier who teaches as you work, measuring your success by the new capabilities you leave behind in others • You are a champion of adoption and change management who brings stakeholders along and ensures deployments stick in real-world applications • You are deeply aware of the risks associated with people data, building with care while defining the long-term playbook for an AI-native HR function What We’re Looking for (Minimum Qualifications) • Demonstrated hands-on experience building AI agents, automations, or tools that changed how real work gets done • Technical fluency sufficient to design agents architecture and instructions, work with MCPs and governance systems, and evaluate outpu