What does it actually take to turn a sales-led organization into a product-led one? In this episode of the CPO Rising series hosted by Products That Count Resident CPO Jay Patel, Medbridge CPTO Sarah Singh will be speaking on how the product engineer is coming for every team: AI is reshaping the product engineer role and why the CPO’s job is no longer separate from engineering. She also shares how her Big Bet Framework builds organizational trust and how AI tools are compressing the innovation cycle from four bets a year to one every month.

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Show Notes:

  1. The product engineer is the emerging role of the decade, and it lives on a spectrum. On one end sits the product marketer who lives in customer conversations and competitive intel. On the other sits the software architect who never surfaces. The product engineer is the expanding middle — the PM who wants to open GitHub, and the engineer who keeps asking why the customer said that. Both sides are moving toward each other because the tools now make it possible.
  2. Having PMs build the MVPs and prototypes themselves is not a nice-to-have — it is a cycle compressor. When engineers no longer carry the burden of proving out the idea, they can ride shotgun on customer calls and already know how they would build what they’re hearing. The feedback loop tightens on both ends simultaneously.
  3. The Big Bet Framework is how you dismantle the ivory tower reputation that follows product into every new organization. The instinct of a new CPO is to start solving the problem they assume they were hired to fix. The better move is to go talk to every function separately and find out what problem they think they hired you to fix. Almost always, the answer is that nobody felt included.
  4. Speed to market and ability to pivot are the two things a strong product organization actually delivers to the business. Strategy and vision matter, but the distinctive value of having product excellence at the center is that the company can move before sales knows what to ask for, and recover fast when the hypothesis is slightly off. Being ahead of the commercial org is not a luxury — it is the job.
  5. The question “have you ever launched anything?” does more interview work than any other. It surfaces over-specialization immediately. Product managers who have only ever owned one slice of the software development lifecycle cannot see the whole field, and the go-to-market side of the launch is usually where that gap shows up first. Someone can be impressive in every other part of the conversation and still fall flat here.
  6. Autonomy at the executive level is what makes innovation structurally possible. When a CEO gives a CPO the mandate to figure out three new products a year and trusts the process, product organizations can actually operate with creative latitude. When leadership is overly prescriptive, the roadmap fills up with keep-the-lights-on items and true innovation never gets its own line.
  7. The hackathon is an infrastructure investment, not a morale event. Letting PMs submit code to production — even small changes, even minor customer annoyances the roadmap will never touch — is how they internalize the complexity of the codebase, develop empathy for tech debt, and stop treating engineering as a translation layer between idea and reality.
  8. AI lets you increase your big bet cadence from quarterly to monthly to weekly. The constraint was never ideation. It was the cost of testing an idea. When PMs can prototype themselves and cycles collapse, the question for product leadership shifts from “how do we pick the right four bets a year” to “how do we build an organization capable of running twelve or more.”
  9. AI tools that change their answer when challenged are a feature healthcare cannot rely on. The observation that an AI will reverse its position when you say “are you sure” is not a curiosity — it is a regulatory and clinical risk signal. In healthcare, that behavior is exactly why human-in-the-loop is not optional, and why the architecture of probabilistic models inside deterministic guardrails matters so much.
  10. Cross-functional fluency is the one leadership differentiator that holds across every company stage. Startup, late-stage, PE-backed, post-IPO — the leaders who outperform in every environment share the same trait: they know how to take in information from every function, filter what actually matters, and move without needing permission from a single direction.
  11. The tension between product and engineering was a product of resource scarcity, not a natural law. Growing up in product management meant navigating that tension as though it were inevitable. What is becoming clear now is that the separation was a structural response to a specific era. The tools have changed the era, and the org chart is catching up.
  12. Go-to-market belongs inside the product organization. Product marketing, sales enablement, and solutions consulting living inside product is not a power grab — it is how you make sure the people closest to the build stay closest to the message. A product that ships without the commercial org knowing how to sell it is only half a launch.
  13. The pivot from sales-led to product-led requires teaching an organization why you roadmap, not just what is on the roadmap. Introducing professional product management into a company that grew up on customer requests means earning trust in a process before earning trust in the output. Showing your inputs is as important as showing your plan.
  14. Half of innovation is operational excellence and the other half is gut. You can have the KPIs, the ROI analyses, and the market entry frameworks, and still need space for the product instinct that none of those tools can generate. If the leadership team does not protect that space explicitly, the 50 percent that requires gut will always get crowded out by the 50 percent that has data behind it.
  15. A med school dropout who found product management at a health tech startup in Miami has a specific edge in healthcare product leadership. The lived experience of building your first consumer product, making mistakes in public, and figuring out the hard way that interesting products still need someone to sell them — that is the kind of formation no MBA replaces.
  16. Engineers who understand the customer problem bring ideas product managers cannot see on their own. The constraint has never been engineering intelligence. It has been the structure that kept engineers downstream of the why. When that structure loosens, the engineers who were always curious about the customer start contributing at a level the product org did not know it was missing.
  17. The CPTO role is becoming more common because the separation of product and engineering was always somewhat artificial. When Sarah inherited engineering at MedBridge, it was not a structural anomaly — it was an acknowledgment that the two functions need the same leader precisely because they are doing increasingly similar work.
  18. Keeping-the-lights-on roadmaps are a slow death for product and engineering organizations. Customer lists and maintenance work consume the capacity that should be going toward market creation. The organizations that do not protect innovation budgets — even when the ROI is uncertain — find themselves defending existing revenue rather than generating new kinds of it.
  19. Comparing AI answers across different models is a legitimate quality control practice. Using two tools and observing where they diverge, and whether either changes its answer under pressure, is not just a personal habit — it is a reasonable heuristic for any domain where accuracy matters and the cost of error is high.
  20. The company that builds the Big Bet Framework refresh into a quarterly ritual is compounding on the companies that do not. Revisiting bets on a regular cadence and asking whether they are still valuable to the functions that sponsored them is how strategy stays connected to reality. Without that ritual, the roadmap becomes a historical document disguised as a forward-looking one.
About the speaker
Sarah Jacob Singh Medbridge, Chief Product & Technology Officer Member

Sarah Jacob Singh is a product and technology executive in the digital health space. She has been in digital health for over 10 years, both at businesses that were acquired and ones that have gone public. She has built product organizations from zero to over 100, as well as built both enterprise and consumer-facing solutions that have served millions of patients. She currently serves as Chief Product & Technology Officer at Medbridge, an online education and digital patient care platform for hundreds of thousands of providers and millions of patients. She manages the product management, product design, engineering, and go-to-market strategy functions. Sarah is also a startup advisor. She loves helping founders realize their product visions. She is an expert at developing differentiated products and building world-class product organizations. She is often described as the one who sets the vision and strategy and brings the rest of the organization along with excellent storytelling.

About the host
Jayesh Patel Products That Count, Resident CPO
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