Partner 20, Staff Security Engineer, AI & Security Platform

a16z•San Francisco, CA

151d•$243,000 - $284,000•Hybrid

About The Position

Andreessen Horowitz is hiring a Staff Engineer, Security Automation to anchor automation across its security organization. The role focuses on connecting the tools used by the security team, centralizing the data they generate, and building dashboards and AI-native automations that enable a small Security Engineering and Incident Response team to operate at greater scale. This is an AI-native role involving LLM-augmented workflows, agentic automations, and AI-assisted analysis. The engineer will also help the wider security team use AI effectively. The security stack spans cloud telemetry, SIEM, identity, endpoint, vulnerability scanning, ticketing, and other systems; the role will unify these into a coherent picture and workflow. The engineer will work day to day with the Security Engineering Lead, Incident Response, SecOps, IT, and the Applied Software Group. The work helps protect the firm, its limited partners, and portfolio companies from targeted threats, including capital call wire fraud, vishing, social engineering, and other threats targeting venture capital firms. The role requires an in-office presence two days per week at the San Francisco, California office.

Requirements

At least 5 years of security engineering experience, with automation and tool-building as a core part of the work.
Strong Python or similar programming skills and the ability to ship production-quality security tooling.
Broad security fundamentals across cloud security, detection engineering, identity, and vulnerability management.
Hands-on experience building with LLMs or AI APIs, including integrating AI into workflows and evaluating model output for accuracy, usability, and performance.
Understanding of AI security risks, including prompt injection, data exfiltration from LLM workflows, agent identity boundaries, and model risk.
Ability to explain technical security concepts, decisions, and trade-offs in terms non-technical audiences across the firm can act on.
Low ego, high empathy, and ability to collaborate across security, engineering, and IT without creating friction.

Responsibilities

Use AI as a first-class building block, including LLM-augmented analysis and agentic automations, and design for compounding leverage.
Combine SIEM, vulnerability scans, EDR, identity, asset management, and foundation models into a unified picture the team can act on.
Build frameworks and dashboards that unify asset inventory, vulnerability posture, exposure reviews, and compliance evidence across systems.
Develop automation for vulnerability management at scale, asset hygiene, access reviews, and workflows spanning multiple tools.
Increase the security team's leverage with AI by sharing patterns, shipping tools others use, and enabling security and incident response engineers to incorporate AI into their work.
Collaborate day to day with the Security Engineering Lead, Incident Response, SecOps, IT, and the Applied Software Group.