Data Analyst Summer Intern

Founded in 2016 with offices in Los Angeles (HQ), 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 a Data Analyst Intern to join M13 for the summer at our NYC office and work on high-impact internal tools that directly support our investment team. This internship is ideal for rising undergraduate seniors or current graduate students who are excited about data, automation, and building practical systems in a fast-paced venture environment.

You won’t be working on hypothetical projects - every workstream will result in a real tool used by M13 day-to-day, helping investors prepare for meetings, accelerate diligence, and benchmark portfolio company performance.

What You’ll Be Doing

The core focus of this internship is building data and AI-powered internal tools that improve how M13 evaluates companies and supports founders.

You’ll have 2–3 workstreams, selected based on team priorities at the start of the internship. Example projects include:

Meeting Prep Automation:
Build tools that generate structured briefing documents ahead of meetings and deal introductions by pulling from CRM data, prior notes, portfolio metrics, and relevant news sources.

Portfolio Benchmarking:
Design and implement a system to normalize and compare KPIs across portfolio companies by stage, sector, and cohort to support board preparation and new investment evaluation.

Diligence Tooling:
Create tools that automate competitive landscape analysis, market sizing scaffolding, and evaluation frameworks — reducing prep time while improving consistency across deals.

You’ll collaborate closely with end users on the investment and platform teams, incorporate feedback in real time, and integrate your work into M13’s existing workflows.

Key Deliverables

• Functional internal tools actively used by the M13 team

• Clean, maintainable code with clear handoff documentation

• Written documentation explaining system design, assumptions, and opportunities for iteration

What You’ll Gain

• Hands-on experience building production data products in a live business environment

• Direct exposure to the full venture capital lifecycle, from sourcing and diligence to portfolio support

• Practical experience working with messy, real-world data

• Applied experience integrating LLMs and AI tooling, including prompt design, retrieval, and structured outputs

• Experience designing tools for non-technical users and iterating based on direct stakeholder feedback

• The opportunity to work alongside experienced investors and operators supporting early-stage founders

What You’ll Bring to the Internship

• Currently enrolled as a rising undergraduate senior or graduate student

• Able to work from our NYC office from Monday, June 15 - Friday, August 14, 2026

• Strong Python skills and comfort working with APIs and data pipelines

• Familiarity with SQL and data modeling concepts

• Interest in AI-native workflows and modern data tooling

• Ability to take loosely defined business problems and turn them into working software without heavy specification

• Curiosity, ownership, and a strong builder instinct

• Interest in venture capital or startups is a plus, but not required

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.