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HomeCompaniesZscalerProgram Specialist, Talent Intelligence

Program Specialist, Talent Intelligence

Zscaler · Remote - USA; San Jose, California, USA · Remote · Active · $105,000–$150,000 / year · Greenhouse

Job facts

FieldValue
CompanyZscaler
TitleProgram Specialist, Talent Intelligence
Normalized title-
Department / teamTalent Acquisition
LocationUnited States
Work modelRemote / Remote
Employment typeFulltime Employee
Salary$105,000–$150,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-06-09 / 2026-06-10
Changed / last seen2026-06-20 / 2026-06-20

Related slices

PageWhat it containsOpen
Company jobsActive postings from Zscaler.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Talent Acquisition.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyZscaler
Source790b23d0-f25f-467d-980b-e22f761c2400
ATS providerGreenhouse

Description

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession , collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. We are looking for a Program Specialist, Talent Intelligence to join our team. This is a hybrid role out of San Jose, CA (3 times a week), or remotely across the US, reporting to the Director, TA Enablement & Operations in the People & Culture Organization. In this role, you will blend a curiosity for recruiting with data analytics to map the global talent landscape and deliver the insights needed to fuel our hiring strategies. Working hand-in-hand with our Talent Intelligence team, you will synthesize complex information to support our general and administrative teams and provide a strong foundation for our company's growth. What you’ll do (Role Expectations) Dive deep into market research to craft comprehensive talent intelligence reports that provide clear insights and support the strategic needs of Recruiting Leadership Conduct quantitative and qualitative analyses to map global talent pools, focusing on competitor intelligence, skill trends, and labor market dynamics Collaborate closely with recruiting teams to guide hiring strategies, optimize sourcing methods, and drive OKR success Synthesize complex datasets into clean, intuitive narratives and visual dashboards for senior stakeholders Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of professional experience in talent intelligence, market mapping, or talent market research Proven ability to marry traditional data analysis methodologies with modern AI platforms, translating raw numbers and algorithmic patterns into macro-level industry trends Hands-on experience with labor market databases and talent insights tools (e.g., LinkedIn Recruiter, TalentNeuron, Crunchbase), as well as strong proficiency in Excel or Google Sheets Strong understanding of how macro-employment trends impact tech hiring, alongside an eagerness to learn the cybersecurity, networking, and cloud sectors, and the ability to articulate project progress or roadblocks in a productive, solution-oriented manner What Will Make You Stand Out (Preferred Qualifications) Experience utilizing advanced generative AI tools, predictive talent analytics platforms, or automated web-scraping models to build real-time talent maps and competitive landscape profiles Experience working within a fast-paced, high-growth corporate or technology environment Familiarity with the full recruitment lifecycle and core Applicant Tracking Systems (e.g., Greenhouse) #LI-RL2 #LI-Hybrid Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $105,000 — $150,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Full job record

Job ID2b9952e7ceefae0fc1ad28a1a064bd0504296069
Org IDe9af1481-dbee-4dd3-9a2d-fe6dafb8999c
Source ID790b23d0-f25f-467d-980b-e22f761c2400
Board ID790b23d0-f25f-467d-980b-e22f761c2400
Providergreenhouse
Provider Job Key5158191007
TitleProgram Specialist, Talent Intelligence
Normalized Title
Statusactive
Activeyes
Location TextRemote - USA; San Jose, California, USA
DepartmentTalent Acquisition
Team
Employment TypeFulltime Employee
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary RawBase Pay Range $105,000 — $150,000 USD At Zscaler, we are committed to building a team that refle
Salary Min105,000
Salary Max150,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/zscaler/jobs/5158191007
Apply URLhttps://job-boards.greenhouse.io/zscaler/jobs/5158191007
First Seen At2026-06-10 07:34:39Z
Last Seen At2026-06-20 07:35:49Z
Last Checked At2026-06-20 07:35:49Z
Last Changed At2026-06-20 07:35:49Z
Inactive At
Source Posted At2026-06-09 17:18:49Z
Source Updated At2026-06-20 02:38:11Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=zscaler/date=2026-06-20/2026-06-20T07-35-48-668Z-21c5f99a7dd715f2774b2af4ec7a9b8cdd3b109d2cbc592164f412dd4feb1aaf.json
Event Fields
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Parsed Structured
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  "salary_period": "year",
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  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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