# Partner 20, Staff Security Engineer, AI & Security Platform at a16z crypto > United States · Staff · Security · open. Source: https://alderhq.app/jobs/greenhouse%3Aa16z%3A7758803003 (read 2026-11-05). ## Facts (observed) - Company: [a16z crypto](https://alderhq.app/companies/a16z-crypto) - Location text: San Francisco, California, United States; San Francisco - Where it can be done from (inferred): United States (evidence: "Location: San Francisco, California, United States; San Francisco") - Posted: 2026-06-10 (148 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://a16z.com/about/jobs/?gh_jid=7758803003 - Skills listed (inferred): Python, LLMs, Figma ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (SF Bay Area, n 91): p25 $225k, median $250k, p75 $294k ## Description (the employer's text) Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, enterprise, fintech, frontier, games, and companies building toward American dynamism. a16z has $100B+ under management across multiple funds. We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. Our team is at the forefront of new technology, helping founders and their companies impact and change the world. ### The Role We're hiring a Staff Engineer, Security Automation to anchor automation across a16z's security org. Your mandate is leverage — connect the tools the security team relies on, centralize the data they generate, and build the dashboards and AI-native automations that let a small team (Security Engineering and Incident Response) operate at the scale of a much larger one. This is an AI-native role. You'll build with and on AI: LLM-augmented workflows, agentic automations, AI-assisted analysis as a first-class building block — and you'll help the rest of the security team get more leverage out of AI in their own work. a16z's security stack spans cloud telemetry, SIEM, identity, endpoint, vulnerability scanning, ticketing, and more. The team needs them stitched into one picture and one workflow rather than ten siloed ones. You'll be the person who makes that real. You'll work day to day with the Security Engineering Lead, Incident Response, SecOps, IT, and ASG (a16z’s Applied Software Group). Venture capital firms face targeted, sophisticated threats — capital call wire fraud, vishing, social engineering, and threat actors who specifically pursue firms in this space. Your work protects the firm, our LPs, and our portfolio companies. This role requires an in-office presence 2 days a week in our San Francisco, CA office. ### To join our team, you should be excited to - Use AI as a first-class building block - LLM-augmented analysis, agentic automations, models, context, and evals - and design for compounding leverage - Build the system that combines SIEM, vulnerability scans, EDR, identity, asset management and foundation models into a single picture the team can act on - 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 ### Minimum Qualifications - 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 - Broad security fundamentals across cloud security, detection engineering, identity, and vulnerability management. Depth in one is fine; breadth across many is required - Hands-on experience building with LLMs or AI APIs — integrating AI into workflows, evaluating model output for accuracy, usability, and performance - 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 --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aa16z%3A7758803003 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.