Founded in 2016 with offices in Los Angeles, New York, and San Francisco, M13 is an early-stage (seed and Series A) venture capital firm that invests in visionary founders building disruptive software businesses. We are a full-stack partner with a deep bench of full-time operators to help you scale efficiently and build category-defining companies.

We’re seeking an Investment Summer Associate to join M13 for the summer at our San Francisco office and work directly with M13’s Investment Team on building AI-native internal tools that enhance how we source, diligence, and invest in companies.

This internship blends product building, venture capital exposure, and founder engagement. In addition to company diligence and research, you will design and build a proprietary sourcing tool that helps the Investment Team identify high-potential founders and companies faster and more intelligently.

You won’t be working on a theoretical project; your work will result in a real, functional product the investment team uses daily.

This internship is ideal for rising undergraduate seniors, or current graduate students.

What You’ll Be Doing

• Design and build a proprietary AI-powered sourcing tool for the Investment Team
• Work cross-functionally with investors to understand sourcing workflows and pain points
• Attend founder events, hacker house demo days, accelerators, and technical meetups to identify emerging builders
• Conduct calls with founders and support active deal diligence
• Contribute research that informs ongoing investment thesis development
• Serve as a thoughtful and professional ambassador for M13 within technical communities

This role blends technical product building with real-time exposure to venture investing.

Key Deliverables

The Investment Team is constantly evaluating new founders, emerging technologies, and frontier AI companies. However, much of the sourcing and evaluation workflow remains manual and fragmented.

This internship focuses on building a proprietary internal sourcing tool that leverages AI and automation to improve how we identify promising founders and companies and surface relevant signals across ecosystems. Your objective is to:

• Build a sourcing tool that meaningfully improves how the team identifies and evaluates opportunities
• Develop structured documentation for tool handoff and iteration

What You’ll Gain

• Direct exposure to sourcing, diligence, and early-stage investment decision-making
• Insight into how investment theses translate into pipeline-building
• Hands-on experience building products within a venture firm
• Real-world application of AI tools in a business-critical environment
• Experience collaborating across investment and platform teams

What You’ll Bring to the Internship

• Currently enrolled as a full-time rising undergraduate senior or graduate student
• Able to work from our San Francisco office from Monday, June 15 - Friday, August 14, 2026
• Strong interest in venture capital, startups, and emerging AI technology
• Technically minded: this can mean you have a CS background, vibe code in your spare time, or have experience working in product or software engineering
• Product-minded thinking and ability to translate ambiguous workflows into usable software
• Ability to independently drive a project from concept through execution
• Comfort engaging with technical founders and participating in founder communities
• Familiarity with AI-native development tools (e.g., Cursor, Claude Code, Loveable, Riplet, or similar tools)
• Strong networks in the San Francisco Bay Area
• Curiosity, ownership, and a low-ego, team-oriented mindset
  

Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other underrepresented individuals tend to apply only when they meet every requirement. If you’re excited about this role but don’t meet every qualification, we still encourage you to apply — we’d love to hear from you.

M13 provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or expression. We value diverse perspectives and encourage candidates from underrepresented backgrounds to apply.

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