Partner 20, Staff Engineer, Security Automation

a16z•San Francisco, CA

4d•$243,000 - $284,000•Hybrid

About The Position

Andreessen Horowitz (a16z) is seeking a Staff Engineer, Security Automation to lead automation efforts within its security organization. This role focuses on integrating security tools, centralizing data, and developing AI-native automations and dashboards to enhance the efficiency of the Security Engineering and Incident Response teams. The position involves building with and on AI technologies, including LLM-augmented workflows and agentic automations, to address sophisticated threats faced by venture capital firms, such as wire fraud, vishing, and social engineering. The work directly contributes to protecting the firm, its Limited Partners (LPs), and its portfolio companies. This role requires a hybrid work model, with 2 days per week in the San Francisco, CA office.

Requirements

5+ years of security engineering experience, with automation and tool-building as a core part of your work — not a side project
Builder mindset — comfortable shipping production-quality security tooling, with strong Python or similar
Hands-on experience building with LLMs or AI APIs — integrating AI into workflows, not just using AI-powered products
Broad security fundamentals across cloud security, detection engineering, identity, and vulnerability management. Depth in one is fine; breadth across many is required
Understanding of AI security risks: prompt injection, data exfiltration from LLM workflows, agent identity boundaries, and model risk
Experience translating technical security concepts, decisions, and trade-offs into terms non-technical audiences across the firm can act on
Low ego, high empathy, and the capacity to collaborate across security, engineering, and IT without creating friction

Responsibilities

Build the connective tissue across the security tools the org relies on — SIEM, vulnerability scanners, EDR, identity, asset management, ticketing — and centralize the data they generate into a single picture the team can act on
Use AI as a first-class building block - LLM-augmented analysis, agentic automations, AI-assisted summarization - and design for compounding leverage, not one-off scripts
Build the frameworks and dashboards that unify asset inventory, vulnerability posture, exposure reviews, and compliance evidence across systems
Take the bigger automation problems off the team's plate — vulnerability management at scale, asset hygiene, access reviews, and the workflows that span multiple tools
Raise the rest of the security team's leverage with AI - share patterns, ship tooling others use, and make it easy for security engineers and IR engineers to add AI to their own work