Joined as the CEO's execution arm; rebuilt the recurring-revenue engine, stood up a 53-person partner org, and deployed a 5-stage agentic-AI stack that now runs the majority of the sales workflow — scaling the business at ~43% average YoY.
Revenue Operator · AI-Led GTM
I build the engines behind revenue.
Data infrastructure, channel architecture, pricing and retention systems, and agentic-AI sales enablement — built and run to deliver ROI. A decade across B2B SaaS, consumer durables, and premium CPG. Every mandate reporting to the CEO.
The operating thesis
“The system is the strategy. Everything else is a result.”
I'm not a strategist who hands over a deck. I go in as the CEO's execution arm and build the machine — the data layer, the pricing and incentive logic, the retention triggers, the AI that runs the repetitive work — then operate it until the numbers move.
The through-line across SaaS, durables and CPG is the same: find the compounding levers, instrument them, automate them, and hold the P&L accountable to them.
Selected work
Three mandates. Three revenue engines.
Each built from the operating layer up — and each measured by what it did to the P&L.
Scaled the digital business across two years and two mandates — launched the Salesforce-integrated D2C store, opened an alternate B2B channel from marquee accounts, and replaced Excel forecasting with an integrated demand system.
Owned the customer-retention mandate behind the scale-up — behavioural cohorts, a co-designed loyalty program, and omnichannel campaigns — plus the analytics that anchored a ₹100 Cr strategic equity raise.
The differentiator
I don't talk about AI transformation. I operate on it — daily.
Beyond the enterprise stack at Busy, I run a two-store consumer brand whose entire back office is operated by AI agents I build and orchestrate myself — from ops to marketing to reporting. It's why the agentic-AI work isn't a slide; it's how I think and work. For any team betting on AI-led GTM, that's the difference between an advisor and an operator.
Builds & runs agentic-AI systems hands-onWhat I bring
Operating capabilities
Revenue Operations
Pipeline & funnel systems, CRM architecture, forecasting, KPI dashboards as a single source of truth.
GTM & Commercial Strategy
Channel & partner development, pricing, margin & incentive design, alternate-channel build-out.
Retention & Lifecycle
Behavioural cohorts, loyalty design, renewal triggers and win-back that grow CLV as revenue scales.
Agentic AI Enablement
Designing and running multi-stage agent stacks that automate calling, follow-up, conversion and post-sale.
Decision Intelligence
Demand forecasting, cohort analytics, and MIS that turn field signal into product & commercial decisions.
Org & Operating Cadence
Building talent-dense teams, span-of-control, hiring scorecards and the review rhythm that sustains growth.
About
Engineer by training, operator by career.
Over a decade of building talent-dense orgs, multi-modal acquisition engines, GTM strategy, decision analytics and process automation — delivering ₹1,000+ Cr in revenue and reaching over 10 million customers.
I work best where the mandate is ambiguous and the outcome is a number: go in, build the system, run it, and leave behind an engine that compounds after I've moved on.
Based in Gurugram, India · open to leadership roles in India and remote roles globally.
Education & credentials
- PGPM – Business Leadership, School of Inspired Leadership (SOIL) — Marketing & Analytics
- B.E. – Computer Science, Chitkara University
- Agentic AI & AI Agents for Leaders — Vanderbilt
- Business Strategy — Illinois · Customer Analytics — Wharton · Marketing Analytics — Virginia
Tooling
Salesforce · Tableau · Power BI · Google Analytics · Xeno · Capillary · agentic-AI IDEs (Claude Code, and more)
Let's talk
Building something that needs a revenue engine?
I'm exploring leadership roles in India and remote roles globally, in revenue operations, GTM, growth and AI-led sales. If that's the person you need, let's talk.