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 an IT Engineer, AI & Innovation Enablement to help teams across a16z put AI to work. You’ve made AI a core part of how you work, and you’re driven to help others experience the same transformation. You’re fired up to test new AI products and feature releases to discover what’s valuable, uncover the sharp edges, and help the firm safely adopt frontier capabilities. You combine IT engineering experience with a drive to help colleagues improve workflows, build useful tools, and achieve tangible results through the adoption of AI.

This is a hands-on role within IT Systems that balances both engineering and enablement activities. A typical day might include testing the latest AI model release, setting up SSO/SCIM for the newest AI app deployment, consulting with power users on AI build use cases, or leading an AI workshop for a business unit.

You drive initiatives independently with an ownership mindset, adapt to the needs of the business, and see plans through from discovery to adoption. You will act as a representative of IT with strong communication skills, presence, and polish.

This role requires an in-office presence 3 days a week in either our San Francisco, CA or Menlo Park, CA office.

To join our team, you should be excited to

Co-own the firm’s AI platforms, such as ChatGPT/Codex, Claude, Cursor, and Grok. Manage enterprise admin settings, access, provisioning, licenses, API keys, spending limits, and feature rollouts
Lead workshops, hackathons, and guided build sessions. Develop practical guides and an AI Champions network that helps colleagues learn, share ideas, and support their teams
Build and share enablement materials such as reusable skills, plugins, AI workflows and training materials that help colleagues put AI to work in productive and creative ways
Evaluate frontier AI products and features, stay current with vendor roadmaps, and test promising capabilities. Develop perspectives on what to adopt, expand, improve, or discontinue
Identify opportunities to improve IT workflows through AI, automation, or simpler process changes
Partner on AI initiatives with business stakeholders to align on technical requirements, strategize deployment, communicate progress and tradeoffs, and deliver secure, compliant solutions
Build business intelligence visibility that shows adoption, usage, spending, and outcomes. Use those findings to assess return on investment, control costs, and recommend where to invest next
Create and maintain platform documentation, operating procedures, and deployment playbooks that the team can follow to onboard and deploy new AI apps at scale
Manage AI vendor relationships, licensing, and contracts

Minimum Qualifications

6+ years experience in IT systems, security, IT infrastructure and platform engineering roles
Optimism and enthusiasm for the future of AI and what it makes possible, paired with the desire and ability to teach, share knowledge, and help colleagues across IT and the firm put it to work
A power user of AI tools such as ChatGPT/Codex, Claude Code, Cursor, and Wispr Flow, with a drive to reshape how IT functions
Ability to apply engineering rigor to evaluating and testing new AI tools and features, assessing their value and risks, and planning deployment