Founders should bet on first-time executives. I’ve seen it pay off repeatedly, and a recent deep dive with Praveer Melwani, CFO at Figma, reinforced exactly why. Praveer joined Figma in 2017 as the company’s first business operations and finance hire—when the team was around 30 people and not yet charging for the product—and stepped into the CFO seat in 2022, helping to lead the company’s IPO in 2025. His journey from IC to CFO isn’t just a career arc; it’s a blueprint for scaling leadership capacity in high-velocity environments.
What struck me first was the clarity of the step functions that took him from operator to “whole-company” leader. Early on, he optimized for doing the work—building driver trees, stress-testing go-to-market assumptions, and putting the basics of board management in place. As the business matured, he shifted from answering questions to defining them, owning capital allocation, and shaping the operating cadence. That evolution—from execution to orchestration—is exactly the arc I look for when I’m hiring first-time VPs.
Another takeaway: Figma started acting like a public company three years before its IPO. That wasn’t optics; it was operating discipline. Quarterly rhythms, tight controls, an audit-proof close, and forward-looking narrative management helped the company move faster, not slower. In my experience, this kind of public-company readiness clarifies trade-offs, compresses decision cycles, and strengthens cross-functional trust—especially between product, finance, and go-to-market leadership.
We also unpacked what separates world-class finance leaders from a traffic-cop CFO. The latter enforces rules and guards budgets; the former uses first principles decision making to direct resources toward asymmetric upside. World-class CFOs help the company understand risk in a post-ChatGPT world, design SaaS pricing that matches product reality, and build reliable instrumentation for outcomes—not just outputs. They’re partners in product strategy as much as stewards of the balance sheet.
On pricing, I appreciated the courage behind selling the exec team on AI consumption pricing. Consumption SaaS pricing introduces variance, but it also aligns value with usage and accelerates time-to-value—especially for AI-driven features whose unit economics evolve rapidly. It requires tight stakeholder management, robust telemetry, and a crisp value proposition, but when executed well it can unlock both growth and discipline.
One of the boldest moves: Figma intentionally cut its 90% gross margin to invest in AI. That’s a masterclass in capital allocation. The reflex to protect margins is strong, but durable advantage often comes from compounding learning loops, not short-term optics. Framed correctly, AI Strategy isn’t a cost center—it’s an option on multiple future S-curves. The key is to define decision guardrails, instrument usage, and keep a living risk register for AI risk management.
I was also intrigued by how AI is changing the CFO craft itself. Tools like Claude Code are now part of the financial leader’s toolbox—useful for scenario modeling, policy drafting, and exploring new domains without slowing down the team. Paired with strong data governance and controls, this is where FinOps meets executive leverage: faster cycles, tighter experiments, and better communication with product and engineering.
Leadership transitions can catalyze phase shifts. When a COO leaves or a company re-architects its operating model, great executives don’t just fill gaps—they redesign the system. That’s when clarity about swimlanes, escalation paths, and decision rights matters most. The lesson for founders: hire for adaptability, not just pedigree, and look for people who can turn ambiguity into momentum.
Hiring leaders in functions you don’t deeply understand is a common founder challenge. The best antidote is a first-principles test for hiring VPs: can the candidate map the business model, define success metrics, and explain trade-offs in plain language? Do they show how they’d build the team, not just run it? Can they teach you something new in 30 minutes? I use this pattern across executive hiring because it scales better than relying on domain buzzwords.
Another practice I recommend: build an internal board of peer CFOs and operators. Regular, no-agenda check-ins create a community of practice that shortens feedback loops and surfaces non-obvious risks. It’s one of the most efficient ways to de-risk capital allocation and sharpen strategic narratives ahead of real board meetings.
We talked about scope versus depth: how deeply in the details should a CFO be? My view aligns with what I heard here—be in the details often enough to validate the model and coach the team, but not so deep that you become the bottleneck. The executive job is to raise the quality of decisions at scale, not to personally make every decision.
There were personal lessons, too—from the nine-year working relationship with Dylan Field to foundational team-building insights from time at Dropbox. Strong teams are built on crisp roles, tight feedback loops, and a bias for writing things down. That muscle—organizational development through clarity—is what separates resilient companies from merely lucky ones.
If you’re a founder weighing whether to back a rising operator or recruit a “proven” exec, this story tips the scale toward the former. Bet on slope, not just intercept. Create the scaffolding—public-company behaviors early, transparent metrics, and a culture that rewards learning—and your first-time executives will scale with the business. Done right, it’s the highest-LEVERAGE people decision you can make.
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