Full-Stack Engineer — Investment Platform

$200K–$250K Base

Hybrid / Remote Flexibility

About the Opportunity

A leading Bay Area venture capital firm is seeking a Full-Stack Engineer to build and expand its proprietary investment platform. This internal software powers portfolio monitoring, financial analysis, valuations, and investor reporting across more than 70 portfolio companies.

You'll join a small, highly autonomous team and work directly with investment and finance professionals to develop tools that improve how the firm manages financial data, evaluates investments, and operates its funds.

This is a hands-on engineering opportunity with significant ownership across the entire technology stack, from database architecture and backend services to user-facing applications and AI-powered workflows.

What You'll Do

• Build and maintain full-stack applications using Python, PostgreSQL, React, and TypeScript.
• Design scalable data models for complex financial information, including valuations, ownership structures, portfolio performance, and fund reporting.
• Automate financial data ingestion, reconciliation, and reporting processes.
• Develop AI-powered internal tools leveraging LLMs, retrieval systems, and agents.
• Collaborate directly with investment, finance, and investor relations teams to translate business needs into production software.
• Own features end to end, including architecture, implementation, deployment, and ongoing maintenance.

What We're Looking For

• 5+ years of professional software engineering experience with strong full-stack development capabilities.
• Direct experience building software for venture capital, private equity, fund operations, or private-market financial platforms.
• Strong proficiency in Python, SQL/PostgreSQL, React, and TypeScript, or closely related technologies.
• Experience designing complex relational data models and building reliable data pipelines.
• Demonstrated ownership of production applications, from initial development through long-term maintenance.
• Strong communication skills and experience working directly with nontechnical stakeholders.
• A hands-on, entrepreneurial mindset and comfort operating independently within a small team.

Bonus: Experience with AWS, financial reporting platforms, portfolio analytics, cap table management, or production LLM/AI applications.