Vedant Arora

VP GTM Operations | Building the Next Layer of RevOps with Agentic AI | Enterprise SaaS

Azentioex-Accentureex-Indeed.com

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I build GTM functions from zero, then scale and broaden Over the last decade I’ve climbed a deliberate ladder rather than repeated a job.

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At Indeed I pushed to diversify the India business beyond a seasonal advertising product into recurring-revenue offerings. At InMobi I ran central strategy and planning across business units, designed comp, and learned to operate at the executive table. At Sprinklr I went deep on marketing and SDR operations. Each move bought a capability I’d need to own a revenue function end to end — sales, marketing, and the operations connecting At Azentio I owned it: a PE-backed enterprise software group, with a charter to build Revenue Operations from zero. In under two years I stood up the team and the fundamentals — re-architected Salesforce, centralized a fragmented tech stack, rebuilt sales comp, ran multiple GTM restructurings, and built the first real analytics and productivity frameworks the business had. Most of all, I institutionalized the operational rhythm — the forecast, pipeline, and review cadences that turned all of it into forecasting discipline and pipeline What I’m most invested in now is what comes after the fundamentals. So much of revenue operations is bandwidth spent preparing reports, reconciling data, and chasing inconsistencies — work in the path to a decision, not the decision itself. So I’m building the next layer: an agentic system across the revenue lifecycle — governance agents that keep pipeline and renewal data clean, a growth agent working inbound leads, a retention agent surfacing churn risk, and an insight agent reading business health across productivity, lead gen, pipeline, and What makes it agentic and not just workflows: every nudge is built on the context of the specific activity — this deal, this renewal, this lead, with its own history and signals — not a generic rule on a missing field. That’s the hypothesis: an agent that reasons over context earns attention because it tells someone something true about their situation. The agents prepare the work and put recommended actions in front of the people who decide — the path to the decision becomes agentic, the judgment stays And increasingly the work runs past revenue ops — standing up an AI-led demand-gen motion and driving product-GTM interlock to bring the right offerings to the right markets. That widening, from owning a function to owning more of how the business operates, is where I’m I work across enterprise SaaS and B2B, with deep exposure to APAC, MEA, and BFSI.