Looker Veteran Ronaldo Amá Joins Birdie as CTO to Build Enterprise Context Layer
Ronaldo Amá, who led engineering at Looker through Google's $2.6 billion acquisition and later worked at Snorkel AI, is joining customer intelligence startup Birdie as head of technology strategy and engineering. The move signals where the data platform market may be heading next.
Amá spent 30 years building infrastructure across SAP, Greenplum, VMware, and Google Cloud. His career tracked the major shifts in enterprise technology: from data platforms to business intelligence to AI. Now he sees a gap that none of those layers fully addressed.
The Context Problem
Dashboards showed companies their data. Data lakes centralized it. Large language models let teams query it. But organizations still struggle to convert fragmented customer, operational, and behavioral data into reliable decisions.
"BI helped enterprises see data. Data lakes helped them centralize it. LLMs helped them interact with it," Amá said. "But none of those, on their own, solve the hardest problem: context - the business meaning required to turn fragmented signals into trusted decisions."
Birdie's thesis is that the next wave of enterprise AI won't come from better dashboards or larger models. It will come from platforms that structure customer signals and operational workflows into systems that AI can interpret accurately and teams can act on.
The limiting factor for enterprises deploying AI across fragmented systems is no longer data access. It's the ability to organize that data in ways that make business sense.
What Amá Brings
Amá has managed engineering teams ranging from 12 to over 700 people. He holds a Master's degree in Computer Science from Stanford and built expertise across software development, systems architecture, and data platforms.
At Looker, he played a central role in scaling the company before the Google acquisition. At Google Cloud, he oversaw Looker's evolution into a core part of the company's analytics business. His decision to join a startup signals confidence in Birdie's direction.
At Birdie, Amá will lead technology strategy and the engineering organization as the company expands across the US and Brazil, serving fintechs, digital platforms, and consumer brands.
Context as Infrastructure
Birdie positions itself at the intersection of generative AI and LLM capabilities and data analysis that actually drives business decisions. The platform transforms fragmented customer and operational signals into measurable business outcomes across customer experience, product, and operations.
Amá's leadership philosophy centers on three things: work people love, people they enjoy working with, and problems that matter. "If you don't make mistakes, you're not going fast enough," he said. "If you repeat them, you're not learning."
For Birdie, his appointment reflects a broader belief about what comes next in enterprise AI: not better tools alone, but systems that finally deliver what those tools have long promised - the ability to turn data into action.
Your membership also unlocks:
