Head Of People Systems (AI)

TL;DR

Head of People Systems (AI): Designing and building the technology infrastructure for recruiting, HR operations, and workforce data with an accent on systems architecture, automation, and scalable integration patterns. Focus on building a robust technical foundation for rapid growth and enabling data-driven decision-making across the engineering and people teams.

Location: Must be based in or able to commute to Palo Alto, California

Company

An AI-focused startup building high-quality, magical products with a small, world-class team.

What you will do

• Define the long-term systems architecture for recruiting, HR operations, and workforce analytics.
• Design, implement, and manage HR technology platforms and internal tooling infrastructure.
• Build reliable integrations across recruiting systems, HRIS, payroll, and internal data platforms.
• Establish the systems roadmap to increase operational efficiency and data visibility.
• Ensure data governance, security, and privacy across all people-related systems.
• Partner with leadership to align system capabilities with workforce planning and hiring velocity.

Requirements

• Strong professional experience with HRIS, recruiting platforms, or internal operational systems.
• Technical background in Computer Science, Information Systems, or Engineering.
• Ability to communicate fluently with engineers regarding APIs, data models, and integration patterns.
• Deep understanding of systems architecture and data pipeline design.
• Hands-on experience scaling systems within a fast-growing, high-talent-density organization.
• Must be able to work on-site in Palo Alto, California.

Nice to have

• Experience scaling HR infrastructure in high-growth startup environments.
• Direct experience managing HR technology vendors and third-party integrations.

Culture & Benefits

• Work in a high-talent-density, hands-on environment.
• Focus on collective decision-making and rapid execution.
• Direct impact on building world-class product development infrastructure.
• Collaborative, transparent team culture with a bias for shipping.

Hiring process

• Technical evaluation by team members.
• 3 to 4 rounds of virtual or on-site interviews.
• Transparent and efficient decision-making process.