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Savvy Wealth
New York, United States
Source: Savvy Wealth careers · View original posting
From Savvy Wealth's posting. “We” and “our” refer to the employer.
Wealth management is a $545 billion industry that still runs on manual work. 75% of advisors offer no digital communication beyond email, and most still build financial plans by hand in Excel. Savvy is reinventing what it looks like to be a financial advisor. Founder Ritik Malhotra saw the fragmentation firsthand after seeking out his own advisor, and started Savvy to give independent advisors a modern, AI-native home.
Savvy is a registered investment advisor (RIA), and we partner with experienced financial advisors who want to grow without running the back office themselves. Advisors bring their book and join Savvy, running under their own brand (or ours), and Savvy earns a percentage of the assets they manage.
In return, they get a true business-in-a-box: a proprietary tech platform and client portal, an in-house marketing team that helps them grow, a world-class investment management team, and a dedicated client services team that runs day-to-day operations and support. Advisors at Savvy service up to 50% more households and save 19 hours a week.
AI runs through everything we do. On the product side, Savvy Intelligence (released April 2026) is the only AI built for wealth managers that can see a client's complete financial picture. Internally, everyone at Savvy uses Claude and is encouraged to experiment with it, backed by a dedicated AI enablement team and a RevOps org building agents in-house.
The trajectory is steep and it's still early. We're a Series C company with 170+ people, $200M raised, and $100M ARR in sight this year. Inc. ranked us the No. 1 fastest-growing financial services company in America in 2026. Come build the next stage with us!
We're a Certified Great Place to Work and have been honored for our culture and our growth:
Savvy is hiring a Senior Engineer to lead the design and delivery of complex product and platform work. Our platform is where AI meets fiduciary advice, and the senior engineers who build it don't just use AI to go faster, they make decisions about where AI belongs in the system, how to build it reliably, and how to raise the team's ability to do the same. You'll own end-to-end delivery of high-impact projects, establish engineering patterns for the team, and help define how our platform evolves as we scale.
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