Jobs / United States / Zscaler INC
Sr. Manager, People Data Infrastructure & Platforms
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 roles3 certified filings for “Senior Manager, Marketing Strategy & Analytics” (Data Scientists) in CA: $174k–$200k, median $174k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% 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. We are looking for a Sr. Manager, People Data Infrastructure and Platforms to join our team. This is a Hybrid role located at our Santa Clara, CA HQ or Bellevue, WA office, reporting to the VP, People & Culture AI and Data. In this role, you will lead the evolution of our workforce data ecosystem by establishing a trusted, governed data foundation and scaling intuitive analytics products across the enterprise. You will bridge technical architecture and business execution, partnering with cross-functional teams to eliminate manual reporting dependencies and enable AI-powered workforce intelligence. What you’ll do (Role Expectations) • Manage and scale the People data foundation across our enterprise data ecosystem, overseeing workforce data models, pipelines, and data quality on Snowflake to deliver certified, trusted workforce data • Establish and enforce data governance and metric certification standards, driving alignment toward single-source-of-truth definitions for core People metrics across the enterprise • Lead the development, delivery, and adoption of scaled workforce analytics products on platforms like Visier and Snowflake, shifting recurring reporting away from spreadsheets and into intuitive self-service experiences • Partner closely with People AI and technology teams to build governed data layers and semantic architectures that enable AI models and agents to reliably generate workforce insights • Lead, mentor, and develop a high-performing team of data and analytics professionals, cultivating a product-oriented mindset focused on measurable usage, operational rigor, and business impact Who You Are (Success Profile) • You are a pragmatic builder who balances technical excellence with rapid delivery, rolling up your sleeves to turn complex architectural concepts into reliable, production-ready data pipelines and analytics products. • You are data-driven and anchor your decisions in rigorous evidence, using analytics to uncover the truth, establish metric integrity, and eliminate inconsistencies across workforce data. • You champion simplicity by distilling complex technical architectures and sprawling reporting demands into streamlined, intuitive data products and self-service solutions. • You are a high-trust collaborator who communicates with clarity, candor, and respect, building strong cross-functional partnerships across People, IT, and enterprise data teams. • You think at scale, designing resilient data foundations, governance models, and team practices that are built to support a high-growth global organization and evolving AI capabilities. What We’re Looking for (Minimum Qualifications) • Foundational understanding of AI/ML technologies and experience