Taking a Company Public: What CFOs Know

What does it really take to prepare a company for life as a public company?

In this special CFO Thought Leader compilation, we revisit three conversations with finance leaders who helped guide some of the technology industry's most recognizable companies through the IPO journey. Rather than focusing on the transaction itself, these CFOs share what happened behind the scenes—the operational changes, leadership decisions, and financial discipline required long before the opening bell rang.

John Kinzer, former CFO of HubSpot, explains how preparing for an IPO required transforming finance from a back-office function into a strategic business partner. He discusses the importance of balancing growth with profitability and creating the operational discipline expected of a public company.

Kelly Steckelberg, former CFO of Zoom Video Communications, reflects on building the people, processes, forecasting capabilities, and financial infrastructure necessary to support a successful transition to the public markets. She also shares lessons from leading Zoom through its first earnings call as a newly public company.

Drawing on his experience helping lead IPOs at Salesforce, Pandora, and Yext, Steve Cakebread offers a broader perspective on why companies go public, how management teams should prepare, and why governance, investor communication, and long-term vision are essential to building enduring public companies.

Together, these three accomplished CFOs offer a practical look at what it really takes to take a company public—from preparing the organization and strengthening financial operations to communicating with investors and leading through one of the most significant milestones in a company's evolution.

When Martino Cadoni joined DeepL, he arrived with an unusual perspective—he already knew the company’s product firsthand. Earlier in his career at Klarna, he had helped introduce DeepL as a translation solution, making the transition from customer to CFO especially meaningful. Today, DeepL is backed by investors including HV Capital, Benchmark, Index Ventures, ICONIQ, and Atomico, Cadoni tells us. Working alongside those firms, he says, continually pushes him “out of the comfort zone.”

That mindset mirrors the company’s trajectory. DeepL supports “almost 50 percent of the Fortune 500 companies,” Cadoni tells us, while continuing to grow and mature for its next stage of development.

Rather than viewing language translation as a commodity, Cadoni emphasizes its strategic importance in critical business workflows. Pharmaceutical companies, for example, rely on accurate translation of regulatory documentation before commercializing new drugs, he tells us. Legal firms, airlines, manufacturers, and multinational organizations face similar challenges where translation quality directly affects operational outcomes.

Customer adoption reflects those varied use cases. DeepL monitors daily and monthly active users, translated character volumes, language pairs, and traditional financial metrics, Cadoni tells us. He notes that demand often extends well beyond English, highlighting significant activity between Japanese and Korean as well as Portuguese and Spanish.

Enterprise relationships frequently begin with a single geography or department before expanding across functions, Cadoni explains. One airline customer, for example, uses DeepL to translate aircraft maintenance documentation before selling planes internationally, illustrating how specialized AI can solve highly practical business problems while supporting global growth.

When Jean Compeau joined Sonar as CFO in March 2025, AI coding was not yet dominating industry conversations. By the summer and fall that followed, however, the landscape had shifted dramatically. Today, AI agents are producing software code at a pace that humans cannot easily verify, creating both opportunity and risk.

That shift sits at the center of Sonar’s mission. The company is the global leader in AI code verification and governance in what it calls the agentic-centric development lifecycle, or “ACDC, just like the band,” Compeau tells us. The scale is significant. Sonar is trusted by 7 million developers, processes 750 billion lines of code daily, serves 25,000 paying customers, and counts 75 percent of the Fortune 100 among its customers, Compeau tells us.

For Compeau, growth is measured through both financial and operational signals. ARR, NRR, GRR, and EBITDA remain core metrics, she tells us. But she also watches utilization, adoption, lead generation, pipeline activity, and free-to-paid conversion rates because these indicators can reveal future performance before financial results arrive.

That perspective shapes how finance participates in strategic decisions. As Sonar invests in new AI-driven products, finance evaluates not only bookings potential but also the company’s long-term position in the AI market, Compeau tells us. The finance function remains involved throughout the process, helping operationalize everything from product introduction and revenue tracking to order management and cash collection.

For Compeau, finance’s role is not simply to measure growth—it is to help shape it.