About the role
About RWA.xyz Tokenization is the most significant infrastructure upgrade in modern capital markets, enabling programmable, real-time settlement of financial assets using blockchain rails. The tokenization market has grown to over $25 billion, expanding 300% year-over-year, yet still represents less than 0.01% of the $500+ trillion in global financial assets. RWA.xyz is the leading data platform for tokenized assets. We are the trusted provider for leading financial institutions like Goldman Sachs, J.P. Morgan, the U.S. Treasury, the IMF, and countless others. We are backed by top investors across both traditional finance and crypto: Archetype, Jump, Solana. Our team comes from the best companies in Silicon Valley and Wall Street. Overview Team: Research Type: Individual Contributor Level: Mid-Career (3-5 years of experience)
Compensation: $130k-170k salary + 0.25%-0.75% equity, depending on experience Location: Hybrid in NYC What You’ll Do Establish RWA.xyz as the authoritative voice in tokenized markets by creating research and analysis that shapes how institutions understand this emerging asset class. You'll transform our unique dataset into narratives that drive organic discovery, earn media coverage, and become required reading for anyone serious about tokenization. You will be responsible for: Publishing industry-defining research — write monthly reports on market trends, deep dives on asset classes, and data-driven analysis that becomes the canonical reference for tokenization Feeding intelligence to media — build relationships with journalists at Bloomberg, Reuters, FT; proactively pitch data stories and serve as an expert source Scaling content through data journalism — work with engineering to launch programmatic SEO pages for thousands of assets, creating self-updating content that dominates search Amplifying our viral loops — create embeddable visualizations, quotable insights, and screenshot-worthy charts that travel across LinkedIn, Twitter, and research reports Building sustainable content engines — develop repeatable frameworks for market analysis, templates for asset class deep dives, and editorial calendars aligned with data releases
