Why It Matters
As AI adoption hinges on high‑quality, governable data, understanding how finance can accelerate data‑centric growth is critical for tech leaders. This episode offers timely strategies for CFOs and executives to align finance with product and go‑to‑market teams, ensuring faster, more informed scaling in a competitive AI‑driven market.
Key Takeaways
- •AI reshapes finance forecasting, requiring real-time data insights
- •DBT Labs grew $15M to $200M ARR via open source
- •Merger with Fivetran creates third-largest data platform worldwide
- •Finance partners early, acting as co-pilot, not alarm system
- •Balancing AI investment against protecting existing revenue streams
Pulse Analysis
Sarah Riley’s career reads like a roadmap for high-growth software finance. From Salesforce’s early-stage finance nucleus to leading FP&A during Okta’s IPO and Zoom’s pandemic-driven surge, she witnessed ARR explode from $200 million to $4 billion in four years. Those experiences sharpened her belief that growth now hinges on “data momentum” – the ability to act instantly when numbers signal opportunity. In the AI era, traditional forecasting models feel static, prompting finance leaders to adopt real-time analytics and a broader strategic lens that reaches beyond the balance sheet.
DBT Labs exemplifies how open-source can fuel rapid scale. When Riley joined, the company logged under $15 million ARR but already served tens of thousands of developers with a free product. By turning community growth into a 70-percent-year-over-year expansion, DBT lifted ARR above $200 million and positioned itself as a key data-infrastructure player. The October merger with Fivetran combined two platform-agnostic leaders, creating the world’s third-largest standalone data platform behind Databricks and Snowflake. This deal underscores the market’s appetite for unified, AI-ready data pipelines.
Riley stresses that finance must move from alarm-system to co-pilot. Her FP&A team embeds itself in product, sales and pricing discussions, delivering rapid, actionable analyses rather than perfect but delayed models. This data-driven partnership fuels accountability and informs major operating choices, from new country launches to AI-focused feature investments. The biggest trade-off today, she says, is balancing protection of existing revenue with aggressive spending on AI capabilities that reshape how data is consumed. Leaders who cultivate data literacy across the organization can navigate that tension and sustain efficient, AI-powered growth.
Episode Description
When the pandemic began reshaping the world in early 2020, Sarah Riley was helping guide finance at Zoom through an unprecedented surge in demand. “You could see the volume of Zoom almost spiking up by the regions that were going into shutdown,” Riley tells us. What followed was unlike anything most software companies had experienced before. During her four years at Zoom, the company expanded from roughly $200 million in ARR to $4 billion, Riley tells us. At one point, Zoom spent nearly half a billion dollars on AWS infrastructure costs it had not anticipated, she explains.
For Riley, the experience fundamentally reshaped how she viewed finance leadership. Rather than becoming fixated on gross margin guidance or traditional planning cycles, she says the finance team had to continually reevaluate the “strategic heart” of the business as Zoom evolved from an enterprise software company into a platform supporting schools, consumers, and businesses worldwide. “Forecasting and discipline comes second” in moments of extraordinary change, Riley tells us.
That mindset now informs her role as CFO of dbt Labs, where she oversees finance, accounting, and data operations while helping guide the company through its merger with Fivetran. Riley says today’s defining challenge for software businesses is balancing legacy operating models with the realities of AI-driven transformation. “You need to balance that with how do we make sure that we’re investing aggressively enough in capturing what our user base is turning into,” she tells us.
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