People Partner - Technology
Santa Clara · USD 127,400-182,000 · 7+ years experience · Hybrid · Posted Oct 9, 2026
At a glance
- Experience
- 7+ years experience
- Workplace
- Hybrid
- Location
- Santa Clara
- Salary
- USD 127,400-182,000 · Base salary
About the role
- The People Partner - Technology serves as a strategic and tactical point of contact for leaders across Zscaler's Product, Engineering, AI, Innovation, and IT functions.
- This role translates high-level people strategies into actionable plans to optimize team health, engagement, and performance within high-growth technical teams.
Responsibilities
- Provide data-led coaching and guidance to people managers on performance management, career development framework execution, and team dynamics.
- Lead the end-to-end rollout of core People & Culture initiatives, including Annual Reviews, Compensation Planning, and Engagement Surveys, tailored for technical workflows.
- Track, analyze, and drive key talent metrics—including attrition and promotion rates—to identify organizational trends and deliver proactive solutions.
- Partner with the People Relations team and business leaders to investigate and resolve complex employee relations matters.
- Identify workflow and lifecycle friction points to streamline internal People & Culture processes and optimize the developer and engineering employee experience.
Requirements
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions.
- Bachelor's degree in Human Resources Management, Organization Behavior, Business Administration, or a related business discipline, or equivalent professional experience.
- 7+ years of progressive HR experience directly managing and supporting end-to-end employee lifecycle processes.
- Proven experience operating within a fast-paced, high-growth technology corporate environment.
- Documented experience designing, standing up, or implementing AI-enabled talent strategies.
Preferred qualifications
- Experience utilizing generative AI tools or advanced predictive workforce analytics to design data-driven talent mapping.
- Experience using analytics to augment performance workflows and optimize organizational health across technical teams.
- Direct HR experience partnering with complex engineering, product, or technical functions.
- Functional knowledge of technical operating models, including Sprint cycles, DevOps methodologies, and AI production workflows.
Benefits
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks
Workplace
- Hybrid working model
Skills
- AI/ML
- Generative AI
- Performance Management
- Compensation Planning
- Talent Mapping
- Sprint Cycles
- DevOps
- AI Production Workflows
