AI-First Product Leadership
Senior Product Manager at iCIMS, steering a $100M+ SaaS portfolio. Eighteen years spent at the intersection of business strategy, AI fluency, and hands-on builder energy — I prototype the idea before I ask engineering to commit to it.
₹15cr → ₹100cr
ARR scaled
Expanded annual recurring revenue nearly 7x at Safexpress by aligning technical feasibility with GTM strategy.
$100M+
Portfolio owned
Prioritising a technical SaaS portfolio at iCIMS against unit economics, business-model depth, and AI-driven ROI.
18 years
Building products
From FinTech trading platforms to EdTech to enterprise HR SaaS — seven industries, one discipline.
60 → 40 days
Discovery cycle cut
Vibe-coded an AI discovery agent that automates user-insight extraction, removing a third of the cycle time.
What I do
Eighteen years across FinTech, EdTech, logistics, and enterprise SaaS have narrowed my practice to a fairly specific shape.
Most AI roadmaps are hype with a Gantt chart attached. I pressure-test AI features against unit economics and real user jobs before a single sprint is committed — so what ships delivers business value, not a demo.
I vibe code. Cursor, Claude Artifacts, Replit, v0 — I build the working prototype myself, put it in front of users, and bring evidence to the roadmap conversation instead of opinions.
Complex business models become technical roadmaps that engineering can actually build and executives can actually fund. Eighteen years of doing this has made me fluent in both rooms.
Track record
Steering AI strategy across a $100M+ enterprise SaaS portfolio, and building the prototypes that prove it out.
Post-acquisition product integration — turning disparate acquired systems into one coherent platform.
Owned end-to-end product strategy for financial workflows — and nearly doubled acquisition-to-payment conversion.
The ARR story — ₹15 crore to ₹100 crore, by making technical capability legible to the commercial side of the house.
Writing
Teams obsess over shipping AI faster while the 60-day discovery cycle in front of it goes unexamined. Here's how we cut ours to 40 days, and what broke along the way.
Most AI feature lists are prioritised by novelty. Here's the filter I run a $100M+ portfolio through instead — and the four questions that kill most AI ideas before they reach a sprint.
Product managers who prototype with AI tools stop arguing from opinion and start arguing from artefacts. That changes who wins the roadmap conversation.
I'm always up for a conversation about AI product strategy, prototyping culture, or a role where those two things matter. The fastest route is email or LinkedIn.