
On this episode of the AI & Data Driven Leadership Podcast, host Dean Guida sits down with Raj Singh, VP of Product at Solo, to explore how generative AI is reshaping product management, engineering, and modern growth strategies. Raj shares a forward-looking perspective on how AI unlocks creativity, accelerates execution, and empowers product teams to operate with greater velocity and clarity. For leaders navigating the shift to AI-native workflows, this conversation offers both strategic insight and practical guidance.
Raj emphasizes that generative AI is transforming product work from the ground up—fundamentally changing how individuals think, learn, and ship products. Modern product teams must embrace a mindset of high agency, where curiosity and continuous learning fuel rapid innovation. Instead of waiting for perfect briefs or fully formed requirements, today’s most effective product leaders leverage AI as a catalyst for exploration, using it to test concepts, validate assumptions, and surface edge cases before they ever touch a roadmap. AI is becoming a strategic co-pilot that unlocks faster decision-making and more confident execution.
Generative AI also shifts the role of engineers from code authors to system conductors, where oversight, architecture, and critical thinking matter more than typing speed. Raj explains that while AI can produce end-to-end code or documentation, it cannot replace the engineering judgment required to ensure feasibility, performance, or long-term maintainability. This evolution is creating a new hybrid engineer—one who orchestrates AI-generated work, validates outputs, and directs complex systems with precision. AI enhances productivity, but human reasoning still defines quality.
On the growth side, Raj highlights a major shift: discoverability is moving from traditional SEO toward Generative Engine Optimization (GEO). AI chat platforms now influence product discovery, meaning brands must prioritize credibility through reputable user-generated content, third-party validation, and authentic community signals. To compete in this environment, companies need strong product fundamentals, thoughtful viral loops, and feedback systems that deliver real user insights—not vanity metrics. In Raj’s view, the winners of the AI era will be those who combine speed, trust, and deep user understanding.
Raj Singh is the VP of Product at Solo, where he leads AI-driven product innovation that empowers individuals and teams to build faster, think deeper, and operate more creatively. With extensive experience spanning product strategy, engineering leadership, and AI transformation, Raj is known for helping organizations modernize their workflows through AI-native principles.
Solo is an AI-powered productivity and creativity platform that enables individuals and teams to scale their capabilities through generative workflows. Designed for builders, creators, and operators, Solo provides an intelligent system that accelerates ideation, development, and execution—helping people accomplish more with clarity and confidence.
How high-agency thinking accelerates AI-driven product innovation
Why engineers are evolving from coders to orchestrators in the AI era
The shift from SEO to GEO (Generative Engine Optimization)
How generative AI democratizes expertise and creativity
How viral loops and authentic UGC drive modern product growth
Dean and Raj’s conversation makes one theme unmistakable: AI is not just changing product development—it is redefining the mindset and mechanics of how modern teams operate. The leaders who thrive will be those who learn quickly, embrace AI as a strategic partner, and build trust-centered products ready for a generative-first world.
Explore Slingshotapp.io to learn more about AI-driven leadership solutions, and if you’re a qualified leader interested in sharing your insights, apply to be a guest on the AI & Data Driven Leadership Podcast here.
Tech entrepreneur and CEO Dean Guida knows there’s a limit to what you can build with grit alone.
At sixteen, Dean bought the first IBM PC and fell in love with writing software. He went on to receive a Bachelor of Science degree in operation research from the University of Miami. After graduating, he was a freelance developer and wrote many systems for IBM and on Wall Street. At twenty-three, he started Infragistics to build UX/UI tools for professional software developers.
Seemingly overnight, Dean had to go from early internet coder to business operator—a feat that forced him to learn some of business’s biggest lessons on the job. He immediately began navigating the nuances of scaling a company, hiring and growing teams, and becoming a leader, a manager, and a mentor.
Fast-forward thirty-five years, and Dean’s tech company now has operations in six countries. More than two million developers use Infragistics software, and its client roster boasts 100 percent of the S&P 500, including Fidelity, Morgan Stanley, Exxon, Intuit, and Bank of America.

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