Recruiter (automotive)

A forward-looking recruiter who specializes in proactive, high-volume sourcing of IT and technical talent for enterprise clients, leveraging an AI-powered platform and VMS tools to build pipelines and secure placements.

Responsibilities

• Lead high-volume talent delivery within enterprise VMS systems, employing tools such as Beeline and Fieldglass to secure proven placements while expanding beyond direct-sourcing or internal pipelines.
• Develop and maintain deep technical talent pools organized by geography and category for in-demand IT sectors, including Full Stack, Software Engineering, AI and Machine Learning, and Robotics.
• Utilize AI-enabled technology to efficiently source, screen, and present top-matched candidates, with automation handling repetitive tasks to support high-impact pipeline building.
• Engage candidates to understand career goals and motivations beyond resumes, building rapid rapport and credibility with technical professionals.
• Collaborate with enterprise clients to interpret business needs and team dynamics, applying human insights to achieve durable, successful placements.

Requirements

• 2 to 5 years of recruiting experience.
• Enterprise-savvy with a proven track record delivering talent through VMS ecosystems in large organizations.
• Technical specialist comfortable vetting candidates across software engineering, AI, and robotics verticals.
• Proactive driver with an entrepreneurial mindset, able to operate without direct guidance in a fast-paced, high-volume pipeline environment.
• Relationship builder with the ability to establish trust and rapport quickly with a diverse range of technical professionals.
• Quick learner eager to adopt new technologies and adapt to an evolving recruiting landscape.

Technologies

• Beeline
• Fieldglass

Client Description

• Compensation: $65,000 – $70,000 per year, plus bonus.
• Location and work model: Los Angeles, CA, hybrid.
• Note: The stated compensation range is a reasonable estimate; actual compensation may be higher or lower based on experience, knowledge, skills, abilities and location.