Recruiter
About the job
- 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.
- 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.
- Experience conducting full-cycle technical recruiting at high-growth startups.
About the company
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, California
Founded
2024
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Simplify's Take
What believers are saying
- March 31, 2026 Series B added $80 million, bringing total funding to $120 million.
- Customers now include ClickUp, Lovable, Supabase, incident.io, Moveworks, and Persona.
- DepthFirst disclosed 12 FFmpeg zero-days using about $1,000 compute, proving efficient research.
What critics are saying
- Snyk, Wiz, and GitHub Security Advisory can copy package-firewall features within months.
- Autonomous remediation mistakes on production code trigger breaches, forcing manual review and slowing sales.
- One missed headline vulnerability destroys trust and freezes enterprise adoption after 2026.
What makes DepthFirst unique
- DepthFirst inspects code, business logic, and infrastructure end-to-end, not isolated alerts.
- Its Dependency Firewall blocks malicious packages before installation across Claude, Codex, and employees.
- Open Defense Initiative plus FFmpeg, Envoy, and Kata partnerships create proprietary vulnerability data.
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Company Equity
Growth & Insights and Company News
6 month growth
1%1 year growth
5%2 year growth
5%San Francisco-based depthfirst has launched Dependency Firewall, a product that reviews and blocks malicious open-source packages before they're installed across a company. The system inspects every package download, regardless of who is installing it, and returns a verdict before installation, allowing approved packages through whilst quarantining suspicious ones and blocking malicious code. The firewall addresses growing security risks as attackers exploit open-source trust by publishing packages that mimic popular libraries. Verizon reported that 48% of data breaches in its 2026 DBIR involved ransomware, with malware attacks surging recently. Dependency Firewall uses depthfirst's agentic defence platform, which previously discovered NGINX Rift, an 18-year-old vulnerability. The company has raised $120 million from investors including Meritech Capital, Accel and Forerunner Ventures.
depthfirst, an applied AI security lab, has launched the Open Defense Initiative, committing up to $5 million in platform credits to help open source projects discover and fix vulnerabilities. The programme targets widely deployed infrastructure software where vulnerabilities would have significant downstream impact. The company disclosed it identified 12 previously unknown memory corruption vulnerabilities in FFmpeg using approximately $1,000 in compute, compared to Anthropic's reported $10,000 spend for similar scanning. Some vulnerabilities dated back to 2009, and patches were autonomously generated by depthfirst's platform. The initiative is currently partnering with maintainers of FFmpeg, Envoy and Kata Containers, whilst proactively analysing projects including Linux, OpenSSH and PostgreSQL. depthfirst has raised $120 million from investors including Meritech Capital, Accel and Forerunner Ventures. Maintainers can apply at opendefense.dev.
depthfirst, an applied AI lab on a mission to secure the world’s software, today announced its $80M Series B round, led by Meritech Capital, with participati...
Depthfirst, an AI cybersecurity startup, has raised $80 million at a $580 million valuation, just two months after a $40 million Series A round. The company is developing "General Security Intelligence" to autonomously detect vulnerabilities and defend against malicious AI attacks. Founded in 2024 by former Google Deepmind researcher Andrea Michi, former Databricks security head Qasim Mithani, and ex-Block cybersecurity chief Daniele Perito, Depthfirst builds AI models from scratch using reinforcement learning rather than adapting existing large language models. The company has over 20 customers and claims 300% revenue growth over the past two quarters. Depthfirst is launching its first in-house model this week, targeting security weaknesses in cryptocurrency smart contracts. Meritech Capital led the Series B round, with total funding now exceeding $120 million.
depthfirst, an applied AI lab focused on software security, has raised $40 million in a Series A round led by Accel. Alt Capital, BoxGroup, Liquid 2 Ventures, Mantis VC and SV Angel participated, alongside angel investors including Jeff Dean and Kirsten Green. Founded in 2024, depthfirst has developed a General Security Intelligence platform that detects, triages and remediates vulnerabilities across software and infrastructure. The company's AI agents uncover eight times more true-positive vulnerabilities than traditional static analysis tools whilst reducing false positives by 85 per cent. The founding team includes technical leaders from Google DeepMind, Databricks and Faire. The funding will support research and development, go-to-market efforts and hiring across applied research, engineering, product and sales.