Role overview
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, crypto, enterprise, fintech, games, and companies building toward American dynamism. a16z has $46B in assets under management across multiple funds.
Weâve established a team that is defined by respect for the entrepreneur and the company-building process; we know what itâs like to be in the founderâs shoes. Weâve invested in companies like Affirm, Airbnb, Coinbase, Databricks, Devoted Health, Insitro, Figma, GitHub, Instacart, OpenSea, Roblox, Stripe, and Substack. Our team is at the forefront of new technology, helping founders and their companies impact and change the world.
Andreessen Horowitz (a16z) is looking for a hands-on, high-energy intern to support the Investor Relations team in building AI-driven and data-enabled products that help us better serve our limited partners and scale internal operations. This intern will work closely with the team responsible for the firmâs CRM systems, fundraise analytics, and internal tooling - and play a key role in developing smarter, faster ways to operate across our fundraising and LP engagement workflows.
What you'll work on
- Own and deliver scoped data and AI projects that improve the efficiency of investor relations workflows (e.g., fundraise tracking, LP segmentation, data modeling, AI tool development)
- Collaborate with Investor Relations, Data, and tech teams to understand pain points and translate them into technical solutions
- Design and implement prototypes or internal tools using AI and data analytics capabilities
- Clean, structure, and analyze operational data to improve insight generation, reporting, and workflow automation
- Create documentation, chatbots, or lightweight UIs that improve visibility into fundraise performance, LP behavior, or fund activity
- Stay highly responsive and adaptive to fast-evolving needs across multiple stakeholders
What we're looking for
- A builderâs mindset with a bias for action and attention to detail
- Familiarity with data analysis and/or data engineering (SQL, Python, dbt, etc.)
- Comfort working with or integrating AI tools (OpenAI/GPT APIs, Zapier, no-code tools, etc.)
- Strong project ownership and ability to manage timelines independently
- Clear, concise communication and a collaborative, can-do attitude
- Interest in venture capital, LP management, or operational innovation in finance is a plus