Recruiting Programs Lead

Responsibilities

• Own and scale the early career talent program, including university relations, new grad hiring, and internship programs.
• Manage the full early career recruiting lifecycle from campus partnerships through onboarding.
• Build and manage the contingent worker program end-to-end, including vendor and staffing agency management.
• Ensure compliance with California contingent labor laws and worker classifications.
• Manage contingent talent through a Vendor Management System (VMS), including requisitions and spend visibility.
• Partner cross-functionally with Legal, Finance, and Engineering to align programs with business objectives.
• Analyze program data and metrics to identify trends, bottlenecks, and opportunities for improvement.
• Drive automation across both programs to increase accuracy and reduce manual work.

Requirements

• Bachelor's degree.
• 6+ years of experience in recruiting operations, talent acquisition, or people program management.
• Proven track record of building and scaling early career talent programs (university relations, internships, etc.).
• Proven success managing contingent worker programs and staffing agency relationships.
• Solid understanding of employment law and compliance regarding contingent workforce management, specifically in California.
• Strong analytical mindset with experience using workforce data to drive decision-making.
• Strong program management skills with the ability to design and optimize complex processes.

Preferred Qualifications

• Experience with VMS platforms, specifically Flextracks.
• Knowledge of Employers of Record (EORs) and international contingent worker models.
• Experience in high-growth technology companies, particularly in automotive or autonomous vehicle industries.
• Experience scaling talent operations from early-stage startups to larger organizational structures.
• Background in change management or organizational development.

About the Company

Applied Intuition is powering the future of physical AI. Founded in 2017, the company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing the automotive, defense, trucking, construction, mining, and agriculture industries.