Headline

Revenue Strategy & GTM Operations Leader | AI-enabled forecasting, pipeline visibility, pricing & onboarding

About

$48M in annualized revenue recovered. Forecast accuracy improved from 28% to 12.7% MAPE. 50% quarterly revenue growth through GTM redesign. Churn reduced from 72% to 26% in 6 months. These aren't inherited results — they're systems I built from zero in organizations that had never formalized the function. I'm a revenue strategy and operations leader with 9+ years embedded in CROs' and founders' offices across fintech, agritech SaaS, and global hospitality. My work sits at the intersection of go-to-market strategy, revenue operations, and data-driven decision-making — diagnosing the root causes others miss, designing scalable systems, and translating executive vision into measurable revenue outcomes. What I do differently: I challenge prevailing narratives with data. When an entire organization spent months fixing sales handoffs, I proved the real bottleneck was risk-review delays — unlocking $1.2M in deferred revenue and cutting enterprise onboarding time 40%. When a one-size-fits-all GTM motion was failing, I built a 3-segment market model from 100+ customer interviews that delivered 50% revenue growth in a single quarter. When a CEO needed a second revenue engine, I took an idea from validation through unit economics to 3X its initial target in 9 months. Core capabilities: → Revenue forecasting & scenario planning (investor-grade frameworks, board-level communication) → GTM strategy & market segmentation (ICP definition, pricing experimentation, channel optimization) → Revenue operations & analytics (SQL, Salesforce, QuickSight — unifying siloed systems into single sources of truth) → AI-augmented workflows (LLM-based research, competitive intelligence, and report automation — 60% efficiency gains) → Cross-functional alignment across 6+ team organizations through influence without direct authority → P&L ownership ($7.5M+), team scaling (50→150), and customer success function building (NPS 7→42+) I operate best in high-growth, ambiguity-rich environments where the playbook doesn't exist yet — Series A through Series C stage companies, PE-backed growth inflections, and enterprise transformations where someone needs to build the revenue operating system from scratch. Currently: GTM & Revenue Strategy, CRO's Office at Cashfree Payments (Series B fintech, $3B+/month enterprise GMV). If you're building or fixing a revenue engine and need someone who combines analytical rigor with cross-functional execution, let's talk. Open to Revenue Strategy, GTM Operations, RevOps, Chief of Staff, and Customer Success leadership roles.

Location

Greater Bengaluru Area

AI stack

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Work experience

GTM & Revenue Strategy at Cashfree Payments, Sep 2024 - Present · 1 yr 8 mos, Bengaluru, Karnataka, India, Embedded in the CRO's office at one of India's leading Series B fintech companies, serving as the strategic and operational backbone for a $3B+/month payments portfolio across 6 cross-functional teams. Brought in to build the revenue operating system — forecasting, analytics infrastructure, decision cadence, and cross-functional alignment — in an organization that had never formalized these functions. Tools & platforms: SQL (10M+ row datasets), Amazon QuickSight, Salesforce, Advanced Excel, AI/LLM workflow design

Strategy & Program Manager - Founder's Office at Fasal - Grow More, Grow Better™, Sep 2022 - Aug 2024 · 2 yrs, Bengaluru, Karnataka, India, Worked directly with the CEO at this Series A agritech SaaS company (IoT hardware + marketplace platform) as the go-to-market and revenue strategy lead. Owned the full spectrum from market research and ICP definition through pricing experimentation, new business line incubation, and customer success transformation — all in a resource-constrained environment where every initiative had to prove ROI before scaling. Key results: → Delivered 50% revenue growth in a single quarter by replacing a failing one-size-fits-all GTM with a 3-segment market model. Built from 100+ customer interviews, cross-functional workshops across 5 departments, and regional pilots. Adopted as the company's permanent GTM architecture. → Designed the company's first structured pricing experiment across ~2,000 subscribers (3 tiers × 2 renewal incentives with cohort-level statistical sizing). Cut churn 50%, shortened sales cycle from 45 to 28 days, and grew IoT ARR from $0.6M to $1.0M (+67%). → Identified a second revenue engine opportunity, proposed a staged validation approach to the CEO, and built a new business line from zero to 3X its initial revenue target in 9 months. Conducted 100+ demand validation interviews, built unit economics model with explicit kill criteria, hired the founding team, and established CEO-level weekly P&L cadence. Cited in investor updates. → Lifted NPS from 7 to 42+ by diagnosing post-sales execution failure through tenure-based cohort analysis. Deployed three simultaneous interventions: 28-day structured onboarding, proactive goodwill visits, and automated health monitoring. Contributed to ~15 point improvement in annual retention. → Strengthened cross-functional alignment across 6 departments and 40+ team members by designing a unified OKR framework with weekly dependency-resolution cadence — cut blocker resolution from 2 weeks to 3 days. Tools & platforms: SQL, HubSpot, Google Analytics, Advanced Excel, cohort analytics

Program Manager - Rev Ops at BharatAgri, Oct 2020 - Sep 2022 · 2 yrs, Pune District, Maharashtra, India, Joined this early-stage agritech startup (subscription advisory platform for farmers) to build the retention, monetization, and field operations infrastructure. The company was experiencing 72% churn and had no formalized customer success function. Built the analytical and operational systems that transformed retention economics and contributed to the company's subsequent funding round. Key results: → Reduced churn from 72% to 26% in 6 months by diagnosing activation failure — not product failure — through cohort lifecycle analytics. Discovered that customers receiving first value within 48 hours retained at 3X the rate. Built onboarding playbooks and a dedicated customer success function from zero. Cited in the subsequent funding round. → Tripled customer LTV and pushed NRR above 110% by uncovering that the top 20% of customers had 3X higher willingness to pay but received identical offers. Designed annual plans and premium advisory upsells driving expansion revenue. Segmentation model became the foundation for all pricing decisions. → Scaled field operations from 50 to 150 across 4 states — designed competency-based hiring, structured 14-day onboarding with mentorship pairings, and regional KPI dashboards. New hire retention exceeded 80% vs. ~60% industry norm. Tools & platforms: SQL, Google Analytics, Advanced Excel, field operations dashboards

Program Manager at OYO, Dec 2016 - Nov 2020 · 4 yrs, United Kingdom, Full P&L ownership ($7.5M+) and team leadership (8 direct reports) for UK and European operations at one of the world's fastest-growing hospitality platforms. Navigated Brexit-era regulatory volatility, multi-currency complexity, and the inherent tensions of a two-sided marketplace (platform margin vs. property owner yield) across 4 European markets. Key results: → Diagnosed an 18% OTA margin leak (~$1.35M annually), rebalanced the channel mix, and automated multi-currency reconciliation. Delivered 12% YoY revenue growth and +6 points contribution margin. Scaled the operating model to 4 European teams. → Recovered $4M/month ($48M annualized) by designing a revenue-leakage framework — tiered refunds, upfront-pay rules, and no-show verification protocols informed by behavioral cohort analysis. Achieved owner buy-in without partner churn across the two-sided marketplace. → Designed a two-sided pricing optimization framework combining competitive intelligence (5-competitor mapping), dynamic adjustments, and 10% owner-flex guardrails. Increased occupancy 21% and revenue 12% YoY. Model adopted as standard across all UK hubs. → Navigated a 3-market, multi-currency stakeholder landscape (25+ stakeholders across India HQ, UK property owners, and European partners) — built localized operating models and cut month-end close from 14 to 5 days. Tools & platforms: Advanced Excel, financial modeling, multi-currency reconciliation systems

Education

Master of Business Administration, Strategy & Operations, Masters' Union

Bachelor of Technology - BTech, Civil Engineering, SVKM's NMIMS Mukesh Patel School of Technology Management & Engineering