Fundrise
Investment Management
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Fundrise is a financial technology company on a mission to build a better financial system for the individual. With more than 2 million users and over $3 billion in assets under management, we are the largest direct-to-investor alternative asset platform in the United States, making institutional-quality real estate, private credit, and venture capital investments accessible to anyone. Through the software we build, we are democratizing the private investment industry.
We continue to push into new territory: our Innovation Fund (VCX) recently listed on the NYSE as one of the first public venture capital funds, and our AI subsidiary, RealAI, is bringing institutional-grade real estate intelligence to everyday investors and professionals. Fundrise has been recognized by CNBC's World's Top Fintech Companies (2024, 2025) and the Inc. 5000 list of fastest-growing private companies for three consecutive years (2023-2025).
While this is a fully remote role, candidates in the Washington, D.C. metro area are strongly preferred. Proximity to our team and business partners helps support in-person collaboration when needed.
We're seeking a Lead Software Engineer to manage a team within our API Engineering group. This team owns the services at the core of Fundrise’s investor application: the APIs that drive authentication, investing, account management, and more, and it drives everything underneath our flagship investor web, iOS, and Android applications.
As a Lead Software Engineer, you'll be measured on the output, quality, and growth of your team. This is a people-management role in which you'll set technical direction, coach engineers, and help drive outputs through daily hands-on software engineering, making sound architectural calls, and solving the problems no one else can crack. Success in this role looks like a team that quickly and consistently turns product, operational, and compliance requirements into software to drive Fundrise forward.
In this role, you will:
Like our Lead Software Engineers, you spend much of your day writing code, and you measure success by what you can ship as a team rather than by your own output alone. Your technical choices are pragmatic and always in service of building what's best for users. You hold yourself and your team to a high technical standard, and you think about solutions across multiple problem domains: performance, security, maintainability, architecture, and implementation detail. You can quickly evaluate a new technology, pattern, or language and adopt it when it genuinely serves the problem. You understand how to apply AI effectively to your own daily work and to raising your team's output without treating it as an autopilot.
You form clear opinions and advocate for them, and once a direction is set you commit to it fully. You find real satisfaction in making an established, high-stakes platform a little better every day. You give direct feedback and expect the same in return, and accept responsibility for all outcomes.
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