Enterprise SaaS operator with high-ownership, high-agency experience across martech and mobile personalization. I turn ambiguous post-sale moments into repeatable onboarding, adoption, renewal and expansion systems.
Stepped up as primary CSM and SME on a post-acquisition product experience platform. Built onboarding, success plans and the playbook from scratch. GRR moved from 60% to 85% in 6 months.
25+ accounts across D2C, e-commerce, BFSI and travel, including 6 at $500K+ ACV, with stakeholders from operators to the C-suite.
$600K+ in expansion revenue sourced and closed independently through CSQL qualification, new channel adoption and paid feature growth.
SDK, API and webhook onboarding across push, RCS, WhatsApp, SMS, email and in-app. 30+ features driven onto the product roadmap.
I'm a passionately curious Customer Success and Account Management professional with high-ownership, high-agency experience in the martech and mobile personalization SaaS space. I consistently ended up owning more than I was supposed to, and delivering on it. Two of my accounts ran around $240K MRR each, and I was pulled into board-level discussions on both. Not because it was my role. Because I knew those accounts better than anyone in the room.
The work I'm proudest of is the zero-to-one playbook work. When a post-acquisition product experience platform arrived with no CS coverage, I stepped up as its primary CSM and subject matter expert and built the entire motion from zero: onboarding, success plans, internal enablement. That is how I work, and it is why early, complex, accountable environments are exactly where I want to be.
Operating stories: situation, intervention, result and what it proves. Click any card.
Netcore acquired a product experience platform: guided walkthroughs and nudges for mobile and app environments. It came with a pipeline of Netcore customers, low retention and no active CS coverage. So I stepped up as its primary CSM and SME. GRR moved from 60% to 85% in 6 months.
Google had just reintroduced RCS in the India market. Customers were settled on WhatsApp, SMS and email, and nobody wanted to move first. I took the first account live, then headed the rollout across Netcore's India accounts.
India's first 100% vegan beauty brand needed conversion and retention outcomes, not send volume. Segmented, intent-based omnichannel programs delivered 12.5X ROI on WhatsApp price-drop campaigns.
A leading retail brokerage kept email as a compliance checkbox while growth ran on other channels. After months of groundwork, they came to us asking for a high-scale newsletter program, growing from zero to roughly 100K emails a day.
Relocation break, filled with artifacts. MVPs shipped with Lovable, Replit, Clay and Claude.
A live portfolio health dashboard built end-to-end on Lovable. It turns account signals into the view a CSM actually needs on a Monday morning: who is healthy, who is drifting, and where the next conversation should be.
An AI analyst for GTM data, built on Replit while working through a structured SQL plan. Ask a question in plain English; it thinks in SQL and answers like an analyst.
A tool for commitments and deliverables across accounts, so nothing a customer was promised falls through between meetings.
A tool that turns scattered competitor signals into a structured battlecard view, built the way a CSM preps for a renewal where a rival is circling.
The operating beliefs behind the numbers.
By the time a renewal feels risky, the decision was already made months ago. Health scoring, early risk identification and QBRs tied to ROI milestones are how 88% retention actually happens.
$600K+ closed without a sales quota. Every dollar came from usage signals and CSQL qualification: the customer was already leaning in, I just built the business case.
Boxx.ai taught me this. Three product lines, no templates, no precedent. The playbooks I built there were adopted org-wide because they were written from the field, not the deck.
A score that only confirms what already happened is decoration. I instrument leading indicators, so intervention happens while there is still something to intervene in.
30+ features made it to the roadmap because I brought Product structured business cases, not complaint lists. Customers who see their input shipped renew differently.
AI can draft the QBR deck and flag the risk. It cannot decide which risk matters, or sit across from a CMO and hold the room. The CSMs who win pair the automation with the judgment.
Frameworks I decide with. All run in the browser, no data saved. Try them.
Rate the four signals I weight in real portfolios. Get a verdict, not just a number.
Four inputs, one honest read on where the renewal actually stands.
Rate an expansion play on Impact, Confidence and Ease. Get a prioritisation call.
Enter active usage by milestone. See the curve and where the story breaks.
Enter stage conversion rates. Find where you are losing the customer.
Add customer asks with revenue impact and effort. Get a ranked queue, the way 30+ features earned their roadmap slot.
Compare two accounts on the signals that predict renewal. Find which needs you first.
Pick industry and lifecycle stage. Get the QBR metric leadership will actually care about.
Eight questions to answer before booking the room.
Type a success plan objective. The five checks flip green as your plan earns them.
Check what applies. Get a ramp estimate before you promise a go-live date.
Will this customer give a referral, a case study or a quote? Find out what to ask for, and when.
Short notes on customer success, AI and ownership.
It is an operations problem. The real shift is not writing faster; it is what happens when execution gets handed to agents. Marketers stop being task executors and become managers of systems. The CSM version is the same: AI can automate the touchpoints, but not the judgment behind them.
In high-stakes accounts, the person who knows the context becomes the owner by default. Two $240K MRR accounts pulled me into board-level discussions for exactly that reason. That is the environment I want: early, complex, accountable, and close to the customer.
Open to Strategic or Enterprise CSM, Account Management and Sales Engineering roles at AI-native and SaaS companies. Also happy to compare notes on 0-to-1 CS motions, or on what AI is actually changing in post-sale work.