Investment Analyst; San Francisco; Hybrid

Crossover is an early-stage venture capital fund that combines diversified exposure to small, high-access pre-seed and seed funds with concentrated direct investments in the breakout companies they surface.

We back founder- and operator-led funds with privileged access to the talent-dense ecosystems where the next generation of category-defining companies is being formed. We then use proprietary portfolio data and our relationships with those managers to identify the highest-potential companies early and invest directly alongside leading Series A and B firms.

Crossover operates as a small, tech-forward team led by Silicon Valley veterans with more than 50 years of combined experience building and investing in private technology companies. In addition to delivering top-tier returns, we aim to be the most valuable LP to our fund managers and the most valuable fund manager to our LPs.

We’re hiring an Investment Analyst to help build and continuously improve the data, analytical tools, and systems that support Crossover’s investment and operations activities.

This is a high-trust, high-agency role at the intersection of investing, data, AI, and operations. You will work closely with the Managing Partner and operations teams across our fund portfolio, more than a thousand underlying companies, and Crossover’s direct investments.

A core part of Crossover’s strategy is using proprietary information from our fund portfolio to make better investment decisions. We want someone who can structure that information, combine it with external data, and use analysis and modern AI tools to surface insights. The role is well suited to someone who is analytically curious, familiar with modern AI tools, and interested in venture investing.

• Manage the collection, ingestion, and quality of data from underlying funds, portfolio companies, financing announcements, and other relevant sources.
• Own and improve Crossover’s proprietary datasets and internal systems, including Airtable and custom-built AI workflows.
• Analyze fund and company data to identify trends, portfolio developments, and potential investment opportunities, and combine proprietary information with external data to answer investment questions.
• Develop processes, taxonomies, QA checks, and automation that improve data quality, reduce manual work, and make information easier for the investment team to use.
• Help build and improve AI-enabled tools for investment research, portfolio monitoring, sourcing, and analysis.
• Support fund and company diligence through research, data collection, and analysis.
• Maintain accurate investment records, ownership information, portfolio data, and supporting materials.
• Monitor underlying funds and portfolio companies for financings, material developments, and other relevant activity, and ensure important information is captured in our systems.
• Support special projects related to fund evaluation, direct investments, portfolio construction, market mapping, and investment strategy.

As part of a small team, you will also be expected to take on projects and responsibilities outside these core areas when needed.

Over time, success in this role means:

• Our proprietary fund and company data becomes increasingly accurate, complete, and useful to the investment team.
• Data and analysis increasingly help answer investment questions and surface interesting companies, opportunities, and portfolio trends.
• Recurring research and data processes become simpler and more automated, with AI-enabled workflows becoming a practical part of how Crossover conducts research and monitors investments.

The ultimate goal is to make Crossover’s data increasingly useful to how…