---
title: "Aravindraj Selvam - Senior Product Manager in Bengaluru | Tal"
description: "Meet Aravindraj Selvam, Product@Spendflo | Ex-Ninjacart,Zoho | Building AI-native enterprise products & platforms based in Bengaluru. AI stack includes claude code, codex, and grok."
image: "https://tal.club/meet/aravindraj-s/share-image"
---

# Aravindraj Selvam on Tal

## Headline

Product@Spendflo \| Ex\-Ninjacart,Zoho \| Building AI\-native enterprise products &amp; platforms

## About

I’ve often been the first product hire, the fast mover, and the person asking, “why can’t we ship this by Friday? Across SaaS and Commerce, I’ve worked on products where adoption is hard, workflows are messy, and trust matters more than feature count\. I enjoy building from 0→1, finding the sharpest problem to solve, and turning ambiguous ideas into products that can scale\. Today, I’m building AI\-native enterprise products at Spendflo \- working across intelligent workflows, orchestration, automation, agents, context, evals\. I’m most interested in products that combine strong product thinking with real business outcomes: faster decisions, better workflows, higher adoption and meaningful customer value\. Always happy to exchange ideas on AI, enterprise software, commerce, or what’s worth building next\.

## Location

Bengaluru

## AI stack

claude code

codex

grok

hermes agent

lovable

n8n

## Work experience

Senior Product Manager at Spendflo, Oct 2025 \- Present · 11 mos, Bengaluru, Karnataka, India, Building AI\-native procurement products \- somewhere between enterprise workflows, agents, and making procurement feel a lot less like procurement\. • Owning Intake\-to\-Procure end to end\. From a request coming in, through approvals and buying workflows, to the downstream systems that need to act on it\. • Building agentic workflows where AI understands intent, pulls the right business context, takes the next action, and knows when a human needs to step in\. • Working on the Contract Agent \- helping teams understand contracts, surface risks and obligations, retrieve the right context, and turn contract intelligence into actions across procurement workflows\. • Built context and evaluation layers to make AI responses more reliable, measurable and production ready • Also building the underlying workflow platform across approvals, renewals, integrations Netsuite&amp; Coupa and automation for 30\+ enterprise customers\. The problem I find most interesting right now: moving enterprise software from “help me do the work” → “do the work for me\.” Focus: AI Agents • Intake\-to\-Procure • Contract Intelligence • Evals • Context Engineering • Workflow Orchestration • Enterprise AI

Senior Product Manager at Ninjacart, Apr 2025 \- Oct 2025 · 7 mos, Promoted\. Same chaos, slightly bigger problems\! • Building AI workflows across retailer commerce, billing, payments and seller operations\. • Scaling NinjaGro beyond the initial markets \- taking what worked locally and figuring out how it travels across India and beyond\. • Exploring AI for pricing, forecasting, recommendations and operational decision\-making across the commerce stack\. • Using AI heavily in my own product workflow too \- prototypes, analysis, research and experiments\. Trying to become the kind of PM who can go from idea → working product much faster\. Still spending most of my time asking: what can we simplify, automate, or make 10× better?

Product Manager at Ninjacart, Mar 2023 \- Apr 2025 · 2 yrs 2 mos, • Joined as the first PM for new initiatives, hands\-on from day one\. • Spent time in mandis, and kirana stores to understand India’s complex food supply chain and translate messy offline workflows into digital products\. • Built and scaled 0→1 MVPs using AI\-assisted prototyping and rapid experimentation, cutting build cycles from months to days\. • Launched AI\-powered NinjaGro, a launchpad helping D2C brands expand into omnichannel retail, scaling to 10,000\+ retailers\. • Led retention and monetization plays: Ninja Coins drove 3× higher retention, while data\-led pricing and decisioning helped move cities to CM3 profitability\. • Improved buyer\-seller matchmaking using behavioral, transaction and supply signals, driving 1\.5× higher conversion and stronger trade volume\. • Worked on forecasting, pricing and recommendation problems where AI and data helped teams make faster decisions across supply, demand and retailer growth\. Focus: AI Product Management • Decisioning • Forecasting • Recommendations • Commerce • 0→1 • Growth

Product Manager at SpotDraft, Apr 2022 \- Mar 2023 · 1 yr, Bengaluru, Karnataka, India, Built legal workflow and AI\-assisted contract products, helping legal teams turn unstructured contracts and legal knowledge into structured, repeatable workflows\. • Worked on AI\-assisted contract review and clause intelligence, helping surface risks, deviations and key contract terms faster\. • Built contract templates, clause libraries and playbook\-driven workflows used by 120\+ legal teams, reducing drafting time by 40%\. • Worked on structuring legal knowledge so teams could consistently apply preferred clauses, fallback positions and review guidelines across contracts\. • Built workflow automation across drafting, approvals, renewals and stakeholder actions, reducing legal turnaround time from 5 days to 1 day\. • Shipped automated renewal and ownership workflows, reducing missed renewals by 60%\. This was where I started working closely with unstructured enterprise data, knowledge retrieval and AI\-assisted decisioning \- foundations I later carried into enterprise AI and agentic workflows\. Focus: Legal AI • Contract Intelligence • Knowledge Workflows • AI\-assisted Review • Workflow Automation • Enterprise SaaS

Associate Product Manager at Zoho Corporation, Apr 2020 \- Apr 2022 · 2 yrs 1 mo, Chennai, Tamil Nadu, India, Built finance products across the Zoho Finance suite, working at the intersection of financial workflows, automation and intelligent decisioning\. • Figured out intelligent automation around transaction categorization, reconciliation, collections and recurring finance operations \- reducing manual work across high\-frequency workflows\. • Built automation around repetitive finance operations including transaction categorization, reconciliation, reminders and approval workflows\. • Worked on connected product experiences across accounting, inventory, billing and expense management, where financial context needed to move seamlessly across applications\. • Helped simplify complex finance workflows involving GST, invoices, vendor transactions and reporting for growing businesses\. This was my early exposure to building systems around structured data, automation and machine\-assisted decisioning \- foundations I later carried into procurement, intelligent workflows and Agentic AI\. Focus: AI &amp; Automation • Finance Products • Intelligent Workflows • Procure\-to\-Pay • Decisioning • Enterprise SaaS

## Education

Bachelor of Engineering \- BE, Computer Engineering, Anna university

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