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DepthFirst

Autonomous agents audit code for vulnerabilities

Recruiter

Technical RecruitingConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • The candidate must have 5-7+ years of full-cycle technical recruiting experience, ideally at high-growth startups.
  • The candidate must have a proven track record of hiring exceptional engineering talent in competitive markets.
  • The candidate must have a deep understanding of technical roles, including backend systems, machine learning infrastructure, and security engineering.
  • The candidate must have experience building recruiting functions from scratch or being an early recruiting hire.
  • The candidate must have high ownership and comfort with ambiguity in fast-moving environments.
  • The candidate must be mission-driven and genuinely excited about artificial intelligence and security.
  • The candidate must be located in or willing to relocate to San Francisco, and must work in-office.

Responsibilities

  • Own and build full-cycle recruiting for engineering and technical roles while managing multiple searches simultaneously.
  • Partner directly with founders and hiring managers to define role requirements, ideal candidate profiles, and compensation strategy.
  • Build the recruiting strategy from scratch by defining the sourcing approach, candidate evaluation frameworks, and competitive positioning in the market.
  • Source proactively and creatively through direct outreach, technical communities, referrals, and other channels.
  • Help build the employer brand and recruiting narrative so candidates understand the company’s value proposition.

Desired Qualifications

  • Experience conducting full-cycle technical recruiting at high-growth startups.

About the Company

DepthFirst

Autonomous agents audit code for vulnerabilities

DepthFirst builds autonomous agents that understand a company’s code, business logic, and infrastructure end-to-end to surface security weaknesses and propose fixes that are ready to merge. The platform, called General Security Intelligence, uses AI agents to analyze an organization’s codebase and systems, identify vulnerabilities, and suggest actionable patches that can be integrated into the codebase. It stands out from traditional static analysis by delivering more true-positive findings (about 8x higher) and far fewer false positives (roughly 85% fewer), and it shows strong performance on CyberGym benchmarks. Early customers include AngelList, Supabase, Moveworks, Persona, and Lovable. The company aims to speed up secure software development by automatically finding problems and providing ready-to-implement fixes, and it is expanding research, go-to-market efforts, and hiring after a $40 million Series A round in January 2026.

Company size
51-200
Company stage
Series B
Total funding
$140.8M
Headquarters
San Francisco, CA
Founded
2024

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