---
title: "Rakesh Reddy Nallagangula - Product Manager in Bengaluru | Tal"
description: "Meet Rakesh Reddy Nallagangula, Product Manager @ Tekion Corp | PGDM-IB, Master in Management based in Bengaluru. AI stack includes claude code, claude, and grok."
image: "https://tal.club/meet/rakesh-reddy-n/share-image"
---

# Rakesh Reddy Nallagangula on Tal

## Headline

Product Manager @ Tekion Corp \| PGDM\-IB, Master in Management

## About

Product Manager with 3 years of experience building B2B pricing infrastructure at scale\. Own the pricing engine powering 1300\+ US dealerships across enterprise OEM brands \(GM, Honda Acura\) at Tekion Corp\. Led the company's UK market entry from 0→1 and drove \~$1M in annual cost savings through the largest platform migration in Tekion ARC's history\.

## Location

Bengaluru

## AI stack

claude code

claude

grok

notebooklm

HeyGen

Supabase

## Work experience

Product Manager at Tekion Corp, Mar 2025 \- Present · 1 yr 8 mos, Bengaluru, Karnataka, India, PRICING PLATFORM — US & Canada Market Owned pricing product strategy for Tekion's ARC \(Automotive Retail Cloud\) platform serving Cadillac and Honda Acura — focused on quote accuracy, tax compliance, and conversion optimization\. ● Delivered accelerated regulatory response when Washington state announced a new luxury tax on vehicles over $100K with a Jan 1st enforcement date — discovered the requirement on Dec 15th with most of the team on holiday leave\. Owned end\-to\-end implementation single\-handedly: tax calculation logic, UX updates, downstream changes in e\-contracting, recap, accounting, reporting — shipped via production hotfix in 7 days, ensuring 100% compliance across 60\+ WA dealerships on day one with zero post\-launch defects ● Implemented R2 \(Rate & Residual\) intelligence at the application layer after production analysis revealed that rate data was being silently dropped on \~8% of live deals — reduced data loss by 90%, preventing an estimated $500K\+ in annual pricing errors \(calculated from no\. of deals × average deal size × error frequency × affected dealership count\) ● Integrated vehicle\-level attributes \(weight, type, new/used status\) into the Taxes API to close a critical gap where tax calculations were ignoring vehicle\-specific tax rules — states that levy taxes differently based on these attributes were returning incorrect tax amounts, causing dealer\-side contract failures & funding issues\. Fix reduced tax\-related dealer support tickets by 45% across 800\+ dealerships in all 50 US states ● Redesigned the quote generation workflow on consumer\-facing OEM site \(cadillac\.com\) after analyzing user drop\-off data and identifying that 30%\+ of quote sessions were abandoned due to high load times and unclear pricing breakdowns — reduced quote latency by 35%, directly improving quote completion rates and with downstream improvements in dealer lead\-to\-sale conversions across 200\+ GM dealers

Associate Product Manager at Tekion Corp, Apr 2023 \- Mar 2025 · 2 yrs, India, CALC ENGINE MIGRATION — Platform Infrastructure \(Cost Optimization\) Led the product strategy and execution for migrating 500\+ ARC dealerships from a third\-party calculation engine to Tekion's in\-house calc engine — the largest infrastructure migration in Tekion ARC's history\. ● Drove the business case for in\-house migration by quantifying $1M\+ in annual third\-party licensing costs \(Potential $2\.1M from FY 28\) — secured executive buy\-in over the alternative \(renegotiating the vendor contract\) by demonstrating long\-term platform control and faster iteration capability ● Designed a phased rollout \(pilot 10 dealers → regional 150 → national 500\+\) with built\-in rollback triggers — completed migration 3 weeks ahead of schedule with <0\.5% dealer escalation rate, despite discovering mid\-rollout that 12 state\-specific tax rules were incorrectly mapped, requiring a 48\-hour tax module re\-architecture ● Conducted 20\+ dealer discovery sessions that revealed pricing accuracy — not speed — was the \#1 pain point; pivoted the FY24 pricing roadmap to prioritize accuracy\-first features, deprioritizing 3 planned speed optimizations Outcome: This migration gave Tekion full ownership of its pricing calculation stack — enabling faster iteration cycles \(feature release time reduced from 6 weeks → 2 weeks\) and unlocking customize calc logic per OEM & Lender\.

Building Gymgoer \- Core Team at GymGoer, Nov 2022 \- Oct 2024 · 2 yrs, India, Founding & Core Team – Headed Product & Finance \(Part\-time, alongside MBA & Tekion\) Dual\-sided fitness marketplace connecting gyms with fitness enthusiasts Dec 2022 – Dec 2023 ● Launched a dual\-sided marketplace from 0→1 — tackled the cold\-start problem on both sides: onboarded 40\+ gym partners through direct outreach and pricing experimentation \(tested 3 commission models before finding product\-market fit\), drove 2,000\+ consumer sign\-ups in first 3 months ● Achieved 22% Month\-1 retention by identifying through cohort analysis that users who booked within 48 hours of sign\-up retained at 3x the rate — redesigned onboarding to push first\-booking within the activation window using personalized gym recommendations and time\-limited offers ● Defined product roadmap using RICE framework, making explicit trade\-offs: prioritized gym discovery, booking flow, and payments for v1\.0 while descoping social features and review systems — shipped in 8 weeks with 12 core features

Building Highon \- Finance & Product at Highon, Jun 2022 \- Jul 2024 · 2 yrs 2 mos, India, Founding & Core Team – Headed Product & Finance \(Part\-time, alongside MBA\) Social platform connecting users through shared activities & interest\-based interactions Jul 2022 – Apr 2023 ● Led product definition for Secret Chat and Activity Tab features, collaborating with 2 designers and 4 engineers — drove a 28% increase in daily active engagement among 10K\+ users within 6 weeks of launch by reducing average taps\-to\-first\-interaction from 5 → 2 ● Supported Founder in pre\-seed funding pitch by building product demo flows, competitive landscape analysis, and traction dashboards — contributed to securing funding that enabled team expansion from 4 → 12 members within 6 months

System Engineer at Infosys, Dec 2018 \- Jun 2020 · 1 yr 7 mos, banglore, Built automated revenue analytics using SQL and SSAS for Infosys Validation Solutions, reducing manual reporting effort by 60% \(from 20 hours/week → 8 hours/week\) — recognized by VP of IVS, solution adopted across 4 business lines saving \~100 analyst\-hours/quarter

System engineer trainee at Infosys, Aug 2018 \- Dec 2018 · 5 mos, India

## Education

PGDM\-IB, Business, Management Development Institute, Gurgaon

Master In Management, Entrepreneurship/Entrepreneurial Studies, ESCP

[View the original profile](https://tal.club/meet/rakesh-reddy-n)

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