---
title: "Jeremiah M. - Travel in Bengaluru | Tal"
description: "Meet Jeremiah M., Revenue & Commercial Operations | Deal Desk | Automation & Analytics based in Bengaluru. AI stack includes claude code, codex, and cursor. Explore public work links including github."
image: "https://tal.club/meet/jerry-a/share-image"
---

# Jeremiah M\. on Tal

## Headline

Revenue & Commercial Operations \| Deal Desk \| Automation & Analytics

## About

I work where deals, revenue and data meet\. Six years in commercial and revenue operations across enterprise SaaS\. I started on the deal desk, moved on to owning revenue and retention, and most recently built the systems and analytics that let commercial teams run faster\. Adobe \| Deal Desk Worked on 100\+ enterprise contracts worth over $100M across Sales, Finance and Legal\. Redesigned templates and workflows to cut contract turnaround by 30%\. Spotted $52M in upsell potential through deal and usage analysis\. TARS \| Revenue and Retention Owned a $2\.2M ARR book across 60\+ accounts in APAC, EMEA and LATAM\. Delivered \~120% NRR through churn\-risk scoring, renewal forecasting and executive business reviews with clients including Tata, Vodafone and Netflix\. KNOW \| Automation and Analytics Built the data and operations functions from zero\. Shipped SherLOQ, an AI analytics workflow on Jira and Cloudflare Workers that cut insight turnaround from 4 days to 30 minutes\. Also built C\-suite BoldBI dashboards, an AI support triage classifier, and early\-warning signals for renewal risk\. What I bring: the commercial judgement of a deal desk, plus the ability to build the automation and analytics that remove manual work from the revenue engine\. Also a PhD scholar in Data Science at Christ University\. Open to Revenue Operations, Commercial Operations and Deal Desk roles\.

## Location

Bengaluru

## AI stack

claude code

codex

cursor

deepseek

opencode

## Work experience

Travel at Career Break, Aug 2026 \- Present · 2 mos

Head of Data, AI and Operations at KNOW App, Oct 2024 \- Jul 2026 · 1 yr 10 mos, Chennai, Tamil Nadu, India, Running revenue operations and data for a frontline platform serving restaurant, retail, and logistics verticals\. Built two functions from zero: a 10\-person ops team and a 4\-person data team \- scouted, hired, onboarded, structured\. Both now operating autonomously\. What this actually looks like day to day: \- Built SherLOQ: an AI\-powered analytics request workflow \(scope to delivery\) integrated with JIRA and Cloudflare Workers \- gave revenue teams self\-serve access to insights and eliminated manual bottlenecks \- Deployed C\-suite BoldBI dashboards on PostgreSQL for real\-time revenue and ops visibility \- Built an AI triage classifier on large\-scale CS email data \- automated categorisation, faster response cycles \- Designed Firebase org provisioning tooling that cut client onboarding friction significantly \- Clients on our data products are consistently ahead of issues before they hit retention The through\-line: revenue ops is only as good as the data layer underneath it\. I build both\.

Guest Faculty at Christ University, Bangalore, Aug 2024 \- Oct 2024 · 3 mos, Teaching data science and analytics fundamentals to postgraduate students\. What I teach, I've built in production \- which makes the classroom more useful for everyone\.

Customer Success Lead at Tars, Feb 2023 \- Sep 2024 · 1 yr 8 mos, Bengaluru, Karnataka, India, Sole revenue owner for a $2\.2M ARR book across 60\+ accounts in APAC, EMEA, and LATAM\. Two\-person team \(myself \+ one associate\)\. Delivered \~120% NRR through structured onboarding, high\-touch engagement, and data\-driven churn intervention\. Retention as a revenue growth engine, not a cost centre\. Built the RevOps foundation while owning the number: \- Automated ticketing, SLA tracking, and KB workflows \- cut response time by 40% \- Built real\-time dashboards \(CSAT, churn risk, ticket backlog\) used by leadership for revenue forecasting \- Ran 20\+ executive Business Reviews with C\-suite stakeholders, connecting product usage to commercial outcomes and unlocking expansion Clients included Tata, Vodafone, and Netflix\.

Product & Analytics at The Hindu, Aug 2021 \- Jan 2023 · 1 yr 6 mos, Chennai, Tamil Nadu, India, Embedded in the product and growth team building data products that drove direct revenue outcomes\. \- Drove conversion from 0\.1% to 2\.2% using ML cohort analysis to identify high\-intent segments \- a 22x improvement \- Contributed to 40% B2B sales uplift by building revenue\-enabling tools: Rasa chatbot, KPI dashboards, rent\-vs\-buy predictor, property hotspot identifier, semantic search engine First role where I understood that good data work doesn't end at the insight \- it ends at the outcome\.

Deal Desk Analyst at Adobe, Sep 2020 \- Jul 2021 · 10 mo, Bengaluru

## Education

Doctor of Philosophy, Data Science, Christ University, Bangalore

Master of Science \- MS, Data Analytics, Christ University, Bangalore

## Public links

- github: https://github\.com/jerry0097

[View the original profile](https://tal.club/meet/jerry-a)

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