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As CTO and founder of Syntin, this math-degree-wielding maverick spent years in the trenches of high-frequency trading and ad tech at MediaMath, building systems that made real-time decisions at lightning speed.
His early work in web 2.0? So accurate at predicting what you wanted, it was borderline creepy.Roland isn't chasing the LLM hype.
He's laser-focused on AI that decidesnot just chatbots that talk pretty. Think of it like a car that knows to turn left before you even ask. At Syntin, he's building automated, intuitive decision-making systems that don't need hand-holding.
This is AI for action, not conversation.
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In this data-informed episode of the #DynamicDecisionsPodcast, host Teasha Cable explores the intersection of revenue operations and cybersecurity with Kathryn Pagoni, MTA, Head of Revenue Operations and Strategy at Orchid Security.
As a founding RevOps team member at this identity security disruptor, Pagoni shares how to operationalize go-to-market strategies while navigating an evolving threat landscape where compliance requirements and security risks shift constantly.
Pagoni's unconventional pathfrom events and hospitality to strategic revenue operations leader across four scaling startupsgives her unique perspective spanning demand generation, digital marketing, channels, and operations. She reveals practical frameworks for decision-making when market forces conflict, drawn from building revenue operations at high-growth security companies.
The conversation focuses on balancing agility with predictability in cybersecurity operations, particularly for companies in identity and access management where technical complexity meets regulatory demands. Pagoni demonstrates how RevOps professionals can architect scalable systems supporting hyper-growth while maintaining flexibility to pivot as market dynamics evolve.
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Daniel Marcous, co-founder and CTO of April (getapril.com), joins host Tisha Cable to discuss the intersection of tax technology, artificial intelligence, and startup leadership.
In this episode, Daniel shares how April is revolutionizing tax preparation by using AI to automatically translate tax law into code, reducing filing time from 5-9 hours to just 10-20 minutes. He discusses the challenges of building in highly regulated industries, balancing accuracy with speed, and leading engineering teams through the transition from corporate culture to startup execution.
Key topics include:
Daniel also takes Tisha's decision-making persona assessment, revealing his approach as a "Counter" who challenges industry assumptions about tax complexity.
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