Raghuveer Krishnamurthy, CFA is a Strategic Finance leader-turned-engineer equipped with an unparalleled blend of expertise in FP&A, analytics, operations research, and intelligent systems. With over a decade of experience in financial modeling, strategic decision-making, and data science, Mr. Krishnamurthy understands firsthand the bottlenecks that finance stakeholders face and how Spindle AI removes them.
At Spindle AI, Mr. Krishnamurthy combines his rare vantage as an archetypal user, his consulting expertise honed in investment banking, and his formal training in Computer Science and AI to lead Solutions Engineering for all Spindle customers. As the white-glove, forward-deployed counterpart to Spindle’s customers, Mr. Krishnamurthy spans pre-sales to post-sales, solving (and engineering solutions for customers to solve) critical questions spanning pricing & packaging, revenue mix shift, margin optimization, GTM alignment modeling, LRP/LTP, capital restructuring, and more.
Mr. Krishnamurthy’s career in GTM Finance spans companies at every stage, from public enterprises like Twilio (TWLO) to hyper-growth startups like Rippling and CaptivateIQ. Specializing in Sales & Marketing Finance, Mr. Krishnamurthy has long recognized how Strategic Finance serves as the connective tissue of an organization, helping leadership quantify decisions and working on building complex financial models to answer questions such as portfolio construction, corporate restructuring, and M&A planning. His hundreds of hours spent building (and rebuilding) robust internal finance tools using Solver in Excel, @Risk, MATLAB, and more eventually led him to pursue an M.S. in Computer Science with a specialization in Artificial Intelligence, which he earned from Georgia Tech in 2024.
Before his time in corporate finance, Mr. Krishnamurthy spent seven years in banking and notable multi-family offices, where he built complex financial models for portfolio management, portfolio construction, structured finance, direct investing, and IPO liquidity planning. He holds an M.S in Industrial & Operations Engineering from the University of Michigan, and an M.S. in Management Science & Engineering from Stanford University. Mr. Krishnamurthy is a CFA charterholder — among the few equally comfortable building a deep learning model as a financial model.
Outside of work, Mr. Krishnamurthy is an avid sci-fi reader, working through the expansive list of Hugo and Nebula Award-winners and finalists. He sports a deep interest in geopolitics, and makes time each week to stay informed on global affairs. He lives with his wife in beautiful San Francisco, California.
Raghuveer Krishnamurthy, CFA is a Strategic Finance leader-turned-engineer equipped with an unparalleled blend of expertise in FP&A, analytics, operations research, and intelligent systems. With over a decade of experience in financial modeling, strategic decision-making, and data science, Mr. Krishnamurthy understands firsthand the bottlenecks that finance stakeholders face and how Spindle AI removes them.
At Spindle AI, Mr. Krishnamurthy combines his rare vantage as an archetypal user, his consulting expertise honed in investment banking, and his formal training in Computer Science and AI to lead Solutions Engineering for all Spindle customers. As the white-glove, forward-deployed counterpart to Spindle’s customers, Mr. Krishnamurthy spans pre-sales to post-sales, solving (and engineering solutions for customers to solve) critical questions spanning pricing & packaging, revenue mix shift, margin optimization, GTM alignment modeling, LRP/LTP, capital restructuring, and more.
Mr. Krishnamurthy’s career in GTM Finance spans companies at every stage, from public enterprises like Twilio (TWLO) to hyper-growth startups like Rippling and CaptivateIQ. Specializing in Sales & Marketing Finance, Mr. Krishnamurthy has long recognized how Strategic Finance serves as the connective tissue of an organization, helping leadership quantify decisions and working on building complex financial models to answer questions such as portfolio construction, corporate restructuring, and M&A planning. His hundreds of hours spent building (and rebuilding) robust internal finance tools using Solver in Excel, @Risk, MATLAB, and more eventually led him to pursue an M.S. in Computer Science with a specialization in Artificial Intelligence, which he earned from Georgia Tech in 2024.
Before his time in corporate finance, Mr. Krishnamurthy spent seven years in banking and notable multi-family offices, where he built complex financial models for portfolio management, portfolio construction, structured finance, direct investing, and IPO liquidity planning. He holds an M.S in Industrial & Operations Engineering from the University of Michigan, and an M.S. in Management Science & Engineering from Stanford University. Mr. Krishnamurthy is a CFA charterholder — among the few equally comfortable building a deep learning model as a financial model.
Outside of work, Mr. Krishnamurthy is an avid sci-fi reader, working through the expansive list of Hugo and Nebula Award-winners and finalists. He sports a deep interest in geopolitics, and makes time each week to stay informed on global affairs. He lives with his wife in beautiful San Francisco, California.
