AI Product · August 2026
What product leadership looks like for AI voice agents
Voice agents only work when the product around the model is usable: activation, conversation design, testing, and trust.
AI voice agents fail when teams treat the model as the product. The product is everything around the conversation: how someone creates an agent, tests it, deploys it, and understands what happened on a call.
At SalesCloser AI, I lead product for voice agents with that framing. Strategy and roadmap matter, but so do the unglamorous pieces: onboarding, conversation design, integrations, QA, and the experience that makes teams confident enough to put an agent in front of real customers.
The best AI product work still looks like good product work. Stay close to users, define the job to be done, ship in loops, and measure whether people trust the system enough to rely on it.