Product Manager | B2B Enterprise | AI · ML · Data Products

Pune District

Gurugram

Noida

Noida, Uttar Pradesh, India







PGP-AIML, Artificial Intelligence and Machine Learning
Great Lakes Institute of Management

PGP AIML, Artificial Intelligence and Machine Learning
The University of Texas at Austin
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7+ years building data products at the intersection of enterprise complexity and measurable business impact. My work sits where most product challenges are hardest - translating ambiguous business problems into structured systems, building cross-functional alignment around a unified vision and ensuring what gets built moves the metrics leadership actually cares about. I've operated across the full product lifecycle and across domains - from warehouse operations intelligence to GenAI-powered enterprise platforms to ML-driven revenue systems at scale. Each context different. The discipline consistent: find the real problem, make the business case, own the outcome. Currently owning product strategy for a Revenue Intelligence Platform - where ML, GenAI and human-in-the-loop agentic workflows converge to sharpen deal prioritization and drive account expansion across enterprise sales organizations. Interested in conversations where AI, data and business strategy are the same problem.
Pune City
claude
lovable
notebooklm
ChatGPT
Microsoft Copilot
Synthesia
Product Manager (Technical Specialist) at Zensar Technologies, Dec 2022 - Present · 3 yrs 9 mos, Pune District, Revenue Intelligence Fabric (0-to-1): · Currently leading enterprise pilots with select customers — the first completed pilot delivered a measured win-rate lift and meaningfully faster deal closure (deal prioritization, 45 reps, 5.5 months) · Owned product strategy from concept to market-ready offering, spanning architecture, market framing, competitive landscape, GTM and analyst firm validation with ISG. · Designed the pilot to remove survivorship and deal-age bias, ensuring measured uplift reflected the product's effect not sales variance. · Positioned for enterprise trust over automation — deterministic prioritization over LLM ranking, on-demand SHAP explainability and agent-driven rescoring on state change and retraining on drift, under human-in-the-loop governance. · Differentiated on cross-source signal scoring — where incumbents are limited to their own system of record. · Pioneered a B2B-native product recommendation engine — delivering targeted cross-sell/upsell plays, directly actionable for enterprise sales teams. GenAI Self Service Platform: · Shaped the multi-agent platform roadmap with senior leadership. Ran cross-functional discovery with 8+ stakeholders, analyzing market feedback across the client base to identify high-value enterprise use cases. · Evaluated competing agent proposals across delivery teams — defining scope, personas, user flow and UI/UX evaluation for enterprise adoption. · Led delivery for two GenAI agents with my direct team — SynQ and BoardReady — from discovery through production. · SynQ — GenAI data reconciliation agent, in production across multiple teams: substantially reduced reconciliation effort, recovered significant billable hours per team and measurably fewer related incidents. · BoardReady — GenAI analytics agent replacing multi-day analyst cycles with natural-language self-service. Deployed across enterprise clients; sunset as the category commoditized.
Associate Product Manager (BI Analyst) at Team Computers, Apr 2021 - Dec 2022 · 1 yr 9 mos, Gurugram, Greyorange (warehouse robotics): Sole embedded lead. Led Greyorange's internal team within their product organization. · Identified critical reporting scalability risks across 30+ customer sites — built the cost-benefit case and secured leadership alignment to lead an open-source migration and launch a Unified Warehouse Tracking Platform, avoiding 2+ additional INR 20L/license renewals. · Stabilized live warehouse reporting at 30 minutes against a 1-hour SLA degrading to 6 hours — ending site blackouts, red-code escalations and measurably improving NPS across B2B warehouse customers. · Turned unreliable reporting into an operational guarantee — consolidated fragmented BI into a card-based IA benchmarked product, leading Greyorange's analytics and UI/UX team through UX modernization and 360 warehouse reporting. · Surfaced robot health as an unmeasured operational gap through PI planning with site engineers — defined robot health metrics and shipped targeted analytics that measurably lifted site uptime and reduced manual interventions across 30+ customer sites.
Software Developer at Velocis Systems Private Limited, Oct 2018 - Feb 2021 · 2 yrs 5 mos, Noida, • Eliminated manual ticket assignment workflows by scoping and developing an NLP-based Automatic Ticket Assignment MVP — defining features and model architecture to reduce incorrect assignments by 90%. • Engaged directly with senior government stakeholders (Director, NIC) to define requirements and information architecture for India’s Official Citizen Charter Portal — independently identifying the need for tech modernization and securing leadership approval to migrate to a modern stack.
Developer at VAYUZ Technologies, Apr 2018 - Jun 2018 · 3 mos, Noida, Uttar Pradesh, India
PGP-AIML, Artificial Intelligence and Machine Learning, Great Lakes Institute of Management
PGP AIML, Artificial Intelligence and Machine Learning, The University of Texas at Austin