Durga Krishnamoorthy is a Product Leader & Carnegie Mellon Alum, focused on agentic GTM AI strategy, and scaling autonomous monetization.
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In an agentic era, the most effective PMs will be distinguished not just by what they can build, but by how they lead, communicate, and make decisions amid increasing complexity and automation. Skills like strategic judgment, cross-functional influence, adaptability, customer empathy, and ethical reasoning are becoming non-negotiable.
To help product leaders, I ask members of the Product Management Group, a community that I lead through Forbes Technology Council, for skills that will define which PMs can align teams, inspire trust and guide products toward meaningful outcomes.
The Agentic AI era brings tools and capabilities in design, architecture and development that were previously outside the PM's role. The new "full-stack PM" can now directly produce the code, design and architecture that they previously relied on other roles to produce. Now, the person on the team who understands critical customer and market details can produce MVPs and POCs that incorporate customer and market intelligence, eliminating the cycles previously required. - Jimmie Lee, JLEE
One nontraditional technical skill that is now nonnegotiable for senior product leaders is AI evaluation design—the ability to define how agentic systems are tested, measured and governed in production. In 2026, PMs must go beyond product requirements documents and architect success criteria for reliability, groundedness, safety, tool use and human oversight, because what matters most is not just what the system can do, but whether it can be trusted at scale. - Dr. Sanjay Kumar, City of New Orleans
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In the Agentic AI era, the new “full-stack PM” is also becoming a QA Architect. With a system of agents taking on more and more of the coding, proactive and preventative quality assurance becomes critical. Much of this QA work now shifts from the back-end of development to the front-end of development. Why? To set clear context, parameters and boundaries for execution by the AI agents developing the code. - Mark Francis, CaregiverZone
One non-negotiable skill is system orchestration thinking—the ability to design how agents, APIs, data flows and human-in-the-loop steps work together. In agentic systems, value comes from coordination, not features. PMs must shape workflows, guardrails and feedback loops to ensure reliability, safety and measurable outcomes. - Venkata Kondepati, Ascentt
The non-negotiable skill is LLMOps and model observability. In 2026, a leader can’t just describe a feature. They must understand how to monitor concept drift and AI reliability in real-time. If you don’t know how to audit why an agentic system is failing, you can't lead the product. PMs must now act as system stewards, ensuring the AI remains resilient and accurate as it scales. - Mahendran Chinnaiah
Prompt architecture is now non-negotiable. Not prompt writing, but engineering how agents reason, coordinate and recover across tools under real constraints. In an agentic stack, behavior becomes the product. Get it wrong, and you embed invisible failure modes. Get it right, and you create systems that are reliable, auditable and aligned at scale. - Aditya Vikram Kashyap, Morgan Stanley
Mapping interdependencies, tracing root causes, and anticipating how changes ripple across teams and architecture is the non-negotiable skill for senior PMs in the agentic era. Most product failures aren't isolated bugs. Instead, they're the result of optimising one component while ignoring broader system dynamics. We need PMs who think in systems design, create more resilient agent workflows, and make the cross-functional calls that no AI tool can create. - Kevin Cushnie, MC Systems
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