Gunjit M. — CEO

I work at the intersection of AI, data, and SaaS revenue mechanics. In my role as an Associate Director of Product Engineering at LTM, I lead initiatives that translate AI capabilities into scalable product and platform outcomes — where engineering decisions directly affect cost structure, pricing logic, and margin performance. Across B2B SaaS environments, I’ve observed a consistent pattern: AI adoption increases. Feature velocity improves. But revenue models remain unchanged. When AI is layered onto seat-based pricing or legacy workflows, margins compress quietly — especially as automation reduces the very human effort that once justified expansion. The real challenge isn’t model quality. It’s monetization architecture. My focus areas: • Understanding how AI changes unit economics at scale • Identifying when automation compresses seats or labor assumptions • Designing product capabilities that support usage or outcome-aligned pricing • Connecting AI feature strategy to CFO-grade financial logic I write and research how AI-driven automation is reshaping SaaS pricing models — particularly in logistics, operations platforms, and workflow-heavy enterprise software. If you're thinking about how AI actually shows up in your P&L — not just your roadmap — that’s the conversation I find most interesting.

Stackforce AI infers this person is a SaaS Product Management expert with a focus on AI-driven monetization strategies.

Location: Seattle, WA, United States

Experience: 10 yrs 2 mos