Technical Recruiter
Raydar
Technical Recruiter
Raydar
AI-powered recruiting agency for tech roles
Raydar · San Francisco, United States · Full-time · Posted 2026-08-14
Salary: USD 120,000–170,000
Workplace: on_site
Our client is a fast-growing enterprise AI company that turns complex documents such as PDFs and spreadsheets into accurate, LLM-ready data. Hundreds of companies have signed up since launch, and the platform now processes tens of millions of pages each month for customers ranging from startups to Fortune 10 enterprises. The company has raised $108M and supports cloud, private, and fully air-gapped deployments with SOC 2 and HIPAA compliance.
You will join as an early member of the recruiting team and help shape a growing engineering organization. Working directly with technical leaders and executives, you will own full-cycle recruiting for Engineering, Machine Learning, and Infrastructure roles.
Own full-cycle recruiting from sourcing and assessment through offer negotiation and close.
Partner with engineering leaders and executives to define hiring needs and high-conviction candidate profiles.
Build and iterate on recruiting processes, interview loops, and top-of-funnel strategies.
Source and engage passive technical talent through creative research, outreach, referrals, and community building.
Bring 4+ years of full-cycle technical recruiting at a growing startup, including 2+ years recruiting software engineering, machine learning, or infrastructure talent.
Demonstrate a record of closing candidates in competitive AI and ML markets and building recruiting infrastructure.
$120K-$170K base salary plus competitive equity.
High-impact ownership as an early recruiting-team member.
Work directly with technical executives at a high-growth enterprise AI company.
Full-time and on-site five days per week in San Francisco, California.
Candidates must already be authorized to work in the United States; visa sponsorship is not available.
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Raydar is an AI-powered talent acquisition firm that serves tech-focused organizations on a contingency basis, charging client companies only after a successful hire. It uses proprietary AI to identify a large pool of candidates and conducts a short 15-minute AI-driven interview (recorded and transcribed) before human recruiters review materials, provide interview prep, and assist with offers and negotiations. What sets it apart is the blend of automated sourcing and screening with hands-on human oversight and tailored client support. Its goal is to help organizations hire more efficiently by speeding up sourcing while maintaining thorough evaluation and negotiation assistance.
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