AVP Product · Enterprise SaaS · AI

I build products that turn complex business challenges into measurable ROI.

Product leader with 12+ years across implementation, product management, architecture and AI transformation — building scalable enterprise products used by 100K+ daily users.

Smitesh Save cycling
Product · AI · Systems
01Customer problem
02Product strategy
03AI & automation
04Scalable system
12+Years experience
100K+Daily active users
15+AI agents
10 daysGo-live timeline
40–45%CS bandwidth improved
10K+Retailer onboardings
Selected work

The work is about making enterprise complexity disappear.

From implementation-heavy deployments to configurable SaaS and AI-native workflows.

01

AI-Powered Enterprise Onboarding

Built an AI-powered onboarding engine that turns conversations, RFPs, transcripts and emails into BRDs and live configurations — compressing a traditionally month-long journey into a 10-day go-live path.

Agentic AIClaudeNeo4jImplementation
10 daysgo-live timeline
02

Onboarding Automation

Shaping an AI-powered onboarding journey where business inputs, configuration, validation and UAT support become an intelligent operating flow instead of a sequence of manual handoffs.

AI agentsKnowledge graphAutomation
AI + Automationimplementation transformation
03

From Customized SaaS to Configurable SaaS

Led the shift from heavily customized implementations toward scalable product architecture — turning repeated customer requirements into reusable configuration, settings and product capabilities.

Product architectureConfigurationScalability
Scalethrough configuration
04

AI Agent Ecosystem

Built and shaped 15+ AI agents across ticket analysis, alerts, documentation and operational workflows, reducing dependency on manual Customer Success effort.

15+ agentsAutomationOperations
40–45%CS bandwidth improved
How I think

I don't start with features. I start with the system.

01 — Understand the operation

Enterprise products live inside workflows. I start by understanding the people, handoffs, constraints, exceptions and business outcomes behind the request.

02 — Find the reusable pattern

A customer-specific request can often become a product capability. The goal is to convert one-off implementation work into scalable configuration and architecture.

03 — Design for intelligence

AI should remove operational friction, not become another layer of complexity. I look for where agents, knowledge and automation can change the workflow itself.

04 — Measure the outcome

Go-live speed, adoption, user scale, support bandwidth and repeatability matter more than feature volume.

Career journey

Implementation taught me the problem. Product taught me how to scale the answer.

Apr 2024 — Present

AVP — Product · Mobisy Technologies

Product strategy, product architecture, AI initiatives, implementation automation and scalable enterprise product evolution.

2021 — Mar 2024

Product Manager · Mobisy Technologies

Product management across enterprise SaaS capabilities, configuration and customer-driven product evolution.

2019 — 2020

Regional Product Manager

Bridging customer needs, implementation realities and product direction across regional business contexts.

2017 — 2018

Implementation Team Lead

Led an implementation team and enterprise deployments while building deep operational understanding.

2014 — 2016

Implementation Specialist → Account Manager

Started close to the customer — implementation, adoption, account management and enterprise problem solving.

AI & systems

Building the layer between business knowledge and product execution.

My current focus sits at the intersection of product architecture, AI agents, knowledge and automation.

Areas I work across

Agentic AIClaudeAmazon BedrockNeo4jKnowledge GraphsVector DBEnterprise SaaSProduct ArchitectureConfiguration EnginesImplementation AutomationAI-assisted UATWorkflow Automation
“The best enterprise product is not the one with the most features. It is the one that makes a complex business process feel simple, repeatable and intelligent.”
About

Product leader. Systems thinker. Builder.

I have spent my career moving closer to the core of how enterprise software is built and adopted — starting in implementation, moving through account and product roles, and now shaping product strategy, architecture and AI transformation.

That journey gives me a practical lens: understand the customer deeply, simplify the system, build for scale, and use AI where it can fundamentally improve the way work gets done.

Mobisy TechnologiesAVP Product
100K+Daily active users
Enterprise SaaSFMCG / CPG ecosystem
Computer ScienceB.Tech / B.E.
Rahul Dravid Award2016
Experience & ExpertiseAward · 2019
Let's connect

Interested in product, AI or building enterprise systems?

I'm always interested in thoughtful conversations around product strategy, AI-native workflows and scaling enterprise software.

Start a conversation ↗