Job description

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 The anticipated salary range for this role is between $243,000 - $284,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope. This role is eligible to participate in the a16z carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave. a16z culture We do only first class business and only in a first class way We take a long view of relationships, because we are in the relationship business We believe in the future and bet the firm that way We are all different, we recognize that, and we win We celebrate the good times We do it for the team We play to win At a16z we are always looking to hire the absolute best talent and recognize that diversity in our experiences and backgrounds is what makes us stronger. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. These differences are what enables us to work towards the future we envision for ourselves, our portfolio companies, and the World. Our organization participates in E-Verify. Click here to learn about E-Verify. Andreessen Horowitz hereby reserves the right to make use of any unsolicited resumes received from outside recruiting agencies and / or individual recruiters without being responsible for payment of any fees asserted from the use of unsolicited resumes.

Requirements

Must-haves

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
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
We do only first class business and only in a first class way
We take a long view of relationships, because we are in the relationship business
We believe in the future and bet the firm that way
We are all different, we recognize that, and we win
We celebrate the good times
We do it for the team
We play to win
Our organization participates in E-Verify. Click here to learn about E-Verify.

Nice-to-haves

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Benefits

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Dental

Vision

401k