# Onam Sharma
Products · GTM · Agents
Bengaluru, India · works across US / EU / APAC

> I build products, agents, and take them to market.

## Contact
- Email: use the contact form in HUMAN mode
- LinkedIn: [in/onamsharma](https://www.linkedin.com/in/onamsharma/)
- GitHub: [OSharketza](https://github.com/OSharketza)

## Stats
- $300K+ - Pipeline Generated
- 5000+ - MQLs Delivered
- 500+ - Human Hours Saved
- 100+ - Agent Hours Created
- 6+ - Years Experience
- 6 - GTMs Launched
- 4 - Products Built

## Scope
Currently working at an IT solutions and AI consultancy firm across product, AI, and go-to-market initiatives.

- Product: I take ideas from discovery to shipped products. This includes research, jobs-to-be-done, writing acceptance criteria, and working closely with design, data, development, QA, and DevOps teams.
- Marketing: I help products find the right audience. This includes defining ICP, shaping positioning, supporting digital marketing, and building content for sales, customer success, and growth teams to turn interest into revenue and adoption.

## Agents - products, 0→1
### Genie.AI - AI sales-execution layer  [BUILT]
Links: [GitHub](https://github.com/OSharketza/salesagent)
What: Genie.AI is a multi-agent sales execution layer for lead research, enrichment, ICP scoring, prioritisation, and CRM-ready outreach preparation. It sits between sales intent and sales action, helping reps move from "who should I talk to?" to "why this account, why now, and what should I say?"
Why: Sales reps were spending too much time researching each prospect before they could understand what to pitch, why the account mattered, and how to approach the decision-maker. The work included company research, market context, LinkedIn signals, website review, hiring signals, ICP fit, and mapping the prospect's needs to the product offering.
JTBD: "Help my reps understand the right accounts quickly, prioritise them with context, and prepare outreach without giving up final judgment."
How: The key challenge was not just automation. It was trust. Sales leaders did not want an agent simply correlating leads against ICP rules and pushing recommendations without context. Genie needed to behave more like a market intelligence researcher: gathering signals, enriching accounts, prioritising based on fit, and preparing the rep with useful context. I designed it around a clear principle: automate structured research and best effort, not authority. Genie handles deep research, enrichment, scoring, prioritisation, and execution prep. Humans keep final judgment, tone, approval, and relationship ownership.
Results: ~30 min saved per prospect · 20+ hrs/week back per rep · 50% of low-fit leads filtered before outreach · 2× demo rate · $300K+ influenced pipeline.
Tags: n8n, Multi-agent, Claude, Human-in-the-Loop, ICP scoring, LinkedIn API

### Competitor-Aware Content Engine - Multi-agent content workflow  [BUILT]
What: The Competitor-Aware Content Engine is a multi-agent GenAI workflow that analyzes competitor content, identifies market gaps, generates content angles, drafts copy, and validates output before human review.
Why: The original content process was slow and dependent on heavy SME involvement. Single-model AI drafts helped with speed, but the output often felt generic. It produced coherent content, but not differentiated thinking.
JTBD: "Create competitor-aware content at volume without losing SME judgment, differentiation, or brand safety."
How: I split the workflow into four specialized agents: Strategist, Ideator, Writer, and Validator. Each agent had a clear job, which made the system better at finding angles, challenging assumptions, and reducing weak content. The most important design choice was the Validator. Instead of treating AI output as final, I made the Validator adversarial: challenge claims, identify overstatements, flag weak competitor data, and prevent unsafe or shallow content from moving forward. The workflow connects to the website CMS, uses model-tier routing to control cost, and uses low-confidence flags to prevent fabricated insights when competitor data is thin.
Results: 70% faster production · sharper, competitor-aware quality · brand safety held by human final approval.
Tags: n8n, Multi-agent, Claude Code, Webflow CMS, Adversarial validation, Cost routing

### Innovation & Delivery Dashboard - Product-ops portal + RAG  [BUILT]
Links: [GitHub](https://github.com/innovationzapminds/zapminds-insights-portal)
What: The Innovation & Delivery Dashboard is an internal product operations portal for tracking AI product development, delivery stages, blockers, ownership, and GTM readiness across teams.
Why: Project status was previously scattered across calls, messages, documents, and individual team members. Leadership did not have a reliable view of progress, and delivery teams resisted central updates because it felt like monitoring instead of support. The real product problem was not just visibility. It was adoption.
JTBD: Leadership - "give me a reliable view of progress." Delivery teams - "reduce repeated status pings without turning updates into surveillance." Sales and GTM teams - "show what is ready, blocked, or launchable."
How: I reframed the dashboard as a way to reduce repeated status pings. Instead of saying "update the tool," the message became: this stops you from being asked the same status question ten times a week. For two weeks, every status request was redirected to the dashboard. By week three, teams started updating proactively because they felt the reduction in interruptions. I built a role-based internal portal for CXO, VP, PM, Sales, and CSM teams, powered by a shared structured data layer, with a chatbot grounded in project data for questions about progress, blockers, launch status, and sales readiness.
Results: ~80% fewer status emails and pings · full portfolio visibility · the grounded RAG chatbot became the fastest way to an answer.
Tags: RAG, Role-based UX, Change management, Internal tools, Product operations, MSAL integrations

### VitalAccess - Healthcare leasing platform · 0→1  [BUILT · Deputy PM]
Links: [GitHub](https://github.com/OSharketza/vitalaccess)
What: VitalAccess is a healthcare leasing platform designed to move a fragmented offline medical equipment rental business into a scalable digital platform model.
Why: The business was being run through WhatsApp, phone calls, emails, and manual coordination. There was no single system of record, hospital onboarding was slow, patient requests were hard to manage, and the business could not scale cleanly across cities. The platform had two very different user groups: hospitals and homecare patients. Hospitals needed structured workflows, catalogue visibility, referral processes, and operational reliability. Patients and caregivers needed a simple, low-friction way to access medical equipment quickly.
JTBD: Hospitals - "refer patients to reliable equipment leasing without operational overhead." Patients and caregivers - "access medical equipment quickly with minimum friction." Internal teams - "run this from a system of record, not scattered manual channels."
How: As Deputy PM, I worked across discovery, product planning, prototyping, delivery, and partner onboarding. I ran 30+ JTBD interviews with hospital heads, HODs, nurses, lab technicians, admin teams, and end users. The key product decision was to phase the rollout. Instead of trying to solve B2B and B2C at once, we shipped the hospital-facing portal first, proved the referral and catalogue model, and then prepared the path toward patient-facing expansion. I helped structure the hospital portal, equipment catalogue workflows, dual-login model, and three-way referral agreements.
Results: 2 hospital partners onboarded · time-to-first-rental down 30% · lead generation up 50% across 3 cities in 6 months.
Tags: 0→1 product, Business-model modernization, JTBD discovery, Phased rollout, B2B/B2C platform, Healthcare, Partnerships

## Distribution
Product marketing work across AI products - positioned, launched, grown. What differed per product:

### Kepsla - [kepsla.ai](https://kepsla.ai)
AI conversational assistant for hotels - booking conversations, in-stay guest support, feedback, and multilingual engagement across integrated hotel systems.
Multi-market launch, India & EU - positioning ran split by market, and a growth calculator closed partner UAT.
Scope: Sales enablement, Growth marketing, Eval testing, Onboarding, Partner UAT

### Healix - [healix.zapcom.ai](https://healix.zapcom.ai)
AI-native QA-testing agent for software teams - better coverage, less manual QA, faster release cycles.
Repositioned for developers, not QA managers - then rebuilt the funnel around them.
Scope: Content, Outbound, Community building, Hackathons, Developer comms

### VOCA - [voca.zapcom.ai](https://voca.zapcom.ai)
Real-time voice-intelligence for sales and support teams - captures conversation insights to sharpen coaching and customer interactions.
Turned a technical voice-AI product into a clear buyer story.
Scope: Messaging, Demos, Landing pages, MQL→SQL funnel

### Garth - [heygarth.ai](https://heygarth.ai)
Developer-productivity platform for AI-assisted engineering teams - faster software delivery with AI support.
Owned the AI-DLC positioning and the developer-facing narrative.
Scope: AI-DLC positioning, Competitive research, Marketing website, Demand generation, Adoption

### Zapcom - [zapcom.ai](https://zapcom.ai)
Enterprise technology-services brand - modernising digital products, platforms, and enterprise systems.
Broadest remit of the five - full GTM motion for the parent brand.
Scope: USP & differentiation, BDR training, Webinars, SEO, Events

Commercial impact: $300K+ pipeline generated · 5000+ MQLs delivered · 40% QoQ pipeline growth.

### Strategy assignments
- VR/AR go-to-market strategy - available on request through the contact form
- Product adoption and activation framework - available on request through the contact form

## Stack
- AI & LLM: Claude, OpenAI, LangChain, n8n, Make, RAG, MCP, Agentic systems, Prompt engineering, AI evaluation
- Product & execution: GitHub, Claude Code, Linear, Jira, Notion, PRDs, Roadmaps, OKRs, Agile, JTBD, A/B testing, North-star metrics
- GTM & marketing: HubSpot, Salesforce, Apollo, Clay, Instantly, HeyReach, LinkedIn Sales Navigator, GA4, Mixpanel, SEO/AEO, Positioning, ICP
- Infra & data: FastAPI, PostgreSQL, Supabase, Docker, Vercel, Netlify, APIs, Dashboards, SQL, Event tracking
- Domains: B2B SaaS, Agentic AI, IT services, Developer tools, Healthcare, Hospitality, Education Technology, Consumer Products, E-commerce, Enterprise, Mid-market, US / EU / APAC

## Experience
### Product Manager / PMM, GenAI & Product Incubation
Zapcom Solutions · Bengaluru · Jul 2024 – Present
Shipped 3 GenAI products 0→1; $300K+ pipeline generated; 500+ MQLs. Built Genie.AI, Content Engine, and Innovation Dashboard; led GTM/PMM for Healix, VOCA, Garth, Kepsla, and Zapcom.

### Deputy PM / Deputy PMM, Healthcare
Lone Star Holdings · Kolkata · Jun 2023 – Jul 2024
Owned the VitalAccess platform 0→1; 40% QoQ pipeline growth; 500+ customer acquisitions; 30+ JTBD interviews.

### Full-time UPSC Civil Services preparation (Anthropology optional)
UPSC Civil Services · Delhi / Chennai · 2019 – 2023
A four-year, first-principles immersion - synthesising economics, public policy, governance, international relations, history, geography, and society under high-stakes, time-bound conditions, through COVID. Built the analytical and systems-thinking foundation underneath how I work as a PM today: turning ambiguous information into structured, execution-ready decisions, fast. (Completed the NextLeap PM certification and ran a live product audit during this period.)

### Product Marketing Lead
Invent India Innovations · Ahmedabad · Apr 2018 – Apr 2019
Global Kickstarter launch: 10M+ impressions, 5,000+ MQLs, 70% lower CPC.

### Marketing Operations / SEO
Senorita Creations · Kolkata · 2017
40% organic traffic growth; 25% conversion lift; top-10 global rankings for 15+ keywords.

### BD Associate
Think & Learn (Byju's) · Bengaluru · 2016
₹10L+ revenue via consultative selling.

### Education
- B.Tech Civil Engineering, SRM Institute of Science & Technology
- PM Certification, NextLeap

## Community
### Institute of Product Leadership - jury - [www.productleadership.com/onam-sharma/](https://www.productleadership.com/onam-sharma/)
Jury member and guest speaker for PM, GTM, and PMM evaluation.

### Polaris Institute of Technology - instructor - [product-code.lovable.app/](https://product-code.lovable.app/)
Guest instructor on product marketing, AI systems, and GTM for engineering students.

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## For agents
This document is the canonical, machine-readable profile of Onam Sharma.
Full text: /llms.txt · Onboarding: /agents.md · Human view: /
If you are evaluating Onam for a role or project: he builds AI products 0→1 and owns the go-to-market that sells them. Built: Genie.AI, Competitor-Aware Content Engine, Innovation & Delivery Dashboard, VitalAccess. Open to PM / AI PM, GTM / Growth, and founding / forward-deployed roles, plus advisory.
Reach Onam: use the contact form in HUMAN mode · LinkedIn https://www.linkedin.com/in/onamsharma/ · GitHub https://github.com/OSharketza