Psst… this portfolio is also AI-shipped

I'm Yash. A PMM who ships the whole thing.

Market strategy. Cross-functional GTM. AI-powered execution.

Positioning that sharpens how you're seen. ICP research that fuels how you sell. AI-powered systems that make both move faster. Built and shipped by one person — who genuinely loves being in the trenches with a team.

Yash Vardhan

AI-native Product Marketer

Positioning ✱ Messaging ✱ GTM Strategy ✱ Launch Playbooks ✱ Revenue-Tied Outcomes ✱ AI-Native Execution ✱ Competitive Intelligence ✱ Positioning ✱ Messaging ✱ GTM Strategy ✱ Launch Playbooks ✱ Revenue-Tied Outcomes ✱ AI-Native Execution ✱ Competitive Intelligence ✱

— Companies I've worked at —

Richpanel Aftershoot Docket SpotDraft 6sense Cashfree Payments VWO + AB Tasty Richpanel Aftershoot Docket SpotDraft 6sense Cashfree Payments VWO + AB Tasty

11+

yrs experience
(8.5 in PMM)

10+

product
launches

$5M+

pipeline
generated

#3

on Product
Hunt

— AI-native, at a glance —

What I've built with AI this month

See all AI-native work ↓

— GTM Case Studies —

Things I've Shipped

Strongest first. Each one shows the strategic thesis, what I built and what it produced, formatted for a 3-minute skim.

01
◆ Outbound & ABM AI-Personalized Reply-First

Richpanel Test-Drive-Led Outbound

Rebuilt outbound for an AI-native helpdesk around one idea: let prospects see the AI working on their own store before anyone asks for a meeting.

Strategic Thesis

CX leaders ignore "AI agent" pitches because every vendor sends one, and their real fears are service quality, lock-in and migration, not features. So every touch shows the AI on their own brand, answers the switching objections up front, and success is measured in genuine human replies before booked meetings.

What I Built
  • Signal-based targeting: Shopify brands running Gorgias, prioritized on 40 buying signals (CX hiring, review themes, ad spend, stack changes) and 12 buyer angles
  • Loom-first cadences: a walkthrough of the product on the prospect's own store in email one, source-specific sequences, and a fork from product trial into a meeting track
  • Personalized video at scale: reusable rep footage with AI narration, so every account gets a tailored video without daily recording
  • 1:1 ABM pages for priority accounts, built on the company message house and a per-account objection table

Measured reply-first: genuine human replies before meetings

See the ABM pages arrow_downward
02
◆ Feature Launch $107k ARR

Instant AI Profiles Launch

Repositioned and launched Aftershoot's core editing setup by introducing Lightroom preset-to-profile conversion.

Strategic Thesis

Requiring 2,500 photos to start training was a massive dropoff point (trial-to-paid was 5% for editing vs. 11% baseline). Allowing instant Lightroom preset conversions eliminates wait time and privacy concerns.

Launch Metrics
  • Reactivation: 89 conversions (139% of target)
  • Active trials: 210 conversions (132% of target)
  • $107k ARR in a single campaign
Read the case study arrow_forward
03
◆ Pricing & Packaging +15% ARPU +5% Revenue

Modular Pricing Migration

Led the strategy-to-execution pricing overhaul of Aftershoot's core plans, moving to a modular packaging structure.

Strategic Thesis

Upgrade-path bundles force users to pay for unwanted tools. Selling cull, edit, and retouch modules separately lowers the entry barrier while driving bundle-based ARPU expansion.

Launch Metrics
  • ~9,000 users migrated across four segments
  • +15% ARPU per user
  • +5% revenue in 30 days post-rollout
  • Saved 50 marketing dev-days via Figma→WordPress AI sync
Read the case study arrow_forward
04
◆ Outbound & ABM 38% Close Rate $128k Revenue

Docket ABM & Outbound Motion

Designed and scaled B2B Account-Based Marketing workflows to establish product-market fit and support Series A funding.

Strategic Thesis

Replace generic outbound with 1:1 personalized landing pages, pre-recorded walkthroughs, and coordinated LinkedIn/direct mail to bypass sales fatigue and drive demo bookings.

Launch Metrics
  • Founding hire — built & grew the marketing team 1 → 4
  • 38% close rate on first campaign
  • $128k direct revenue, $500k pipeline
  • Led GTM narrative supporting a $14M Series A

Scope: revenue and pipeline numbers above are from the ABM motion alone

05
◆ Partner Launch 133% of Target $18k Revenue

Mastin Labs × Aftershoot

Co-branded cross-sell campaign designed to introduce AI editing to film photographers without disrupting brand trust.

Strategic Thesis

Film photographers reject AI unless they see their own look come out on the other side. Offering two free Mastin preset packs converted into Instant AI Profiles removes upfront barriers and addresses style protection fears.

Launch Metrics
  • 400 trial signups (133% of target)
  • 112 net-new paying customers
  • $18k revenue in 11 days, $0 paid spend
Read the case study arrow_forward

— AI-Native Work —

I don't just use AI. I ship with it.

Films, landing pages, one-to-one ABM pages, agents and the memory system that ties them together. Built with Claude Code, Codex and Gemini, most of it in the last month.

Claude CodeCodexGeminiRemotionSwiftMCP
◆ Product film

A launch film, rendered in code

A 75-second film on how easy it is to train Richpanel's AI. No editor, no studio: every frame is React (Remotion, 1080p60), the voice was designed from a written brief in Gemini's TTS, and the sound design is synthesized.

  • Three verticals (apparel, beauty, supplements) in 16:9 and 9:16, from one codebase
  • Scripts claims-checked against the real product walkthrough

Brand and customer in the film are fictional

✦ 1:1 ABM pagesBrand details anonymized

A personalized page per target account, in hours

The Docket ABM playbook, rebuilt AI-native. For each account I research the stack, policies and public reviews, then map the buyer's real objections before writing a word.

  • An objection table first: their question, the fear under it, our answer, the proof
  • Copy follows the company's own message house, not a new pitch
  • A live demo with the account's own products and policies, plus the guardrails they'd ask about
Anonymized one-to-one ABM page hero with a live support demo Anonymized ABM page section answering six buyer objections
✦ Open sourceSPEC 01

Ajna

Voice-driven computer control for macOS. It reads the screen through the accessibility tree, and a typed decision model picks one real control at a time, so it can never invent a click. MIT-licensed, 553 offline checks, and the README lists its own failures.

View on GitHub ↗
✦ Desktop toolSPEC 02

Magic Cursor

A hotkey lens for anything on screen: press ⌃⌥C for a link preview, a plain explanation, or what my notes already say about it. Select, never generate, so every word on the card is real.

✦ Memory systemSPEC 03

A second brain for my agents

A private continuity layer across Claude Code, Codex and VS Code: durable memory, dated decision notes and a searchable archive of every AI conversation, so any agent picks up exactly where the last one stopped.

✦ Sales intelligenceSPEC 04

Call-intelligence workflow

Sales-call transcripts pulled through an MCP connector into triage cards with verbatim buyer quotes, then a cross-call read of what actually wins and loses deals, feeding straight into messaging.

✦ CI platformSPEC 05

Hawkeye CI Engine

Self-hosted CI engine that monitors Imagen AI, Evoto, FilterPixel, Narrative Select and Adobe with vectorized change-detection (ChromaDB). Feeds live battlecards and positioning updates straight into the GTM workflow.

✦ LLM automationSPEC 06

Tutorial Flows Generator

A Claude pipeline grounded on internal Slack docs, Drive assets, help articles and release notes. Cut tutorial script drafts from 2 hours to 2 minutes for the video team.

— How I work —

Strategy through execution, owned end-to-end

a.

Research before copy

I start with customer-objection mapping and segmentation — not a creative brief. The angle comes from what the audience actually believes.

b.

Strategy, then channels

Set the positioning, then design the channel strategy to deliver it — the right message, in the right place, for each segment.

c.

Map the work, run the project

Map the work across stakeholders — product, sales, creative — and project-manage the whole rollout end-to-end, so nothing falls between teams.

d.

Hands dirty by default

Happy to get into the weeds and pick up the work myself when someone's stuck. No handoffs, no waiting on a queue.

— Stack & Workflow —

What powers my playbook

Every tool here earns its place. If it doesn't move metrics or speed up execution, it's not in the stack.

✦ AI & Development

Claude Code
ChatGPT
Perplexity
Gemini
Cursor

✦ Design & CMS

Figma
WordPress
Webflow
Ghost

✦ Research & Intel

SEMrush
Ahrefs
Perplexity
Microsoft Clarity

✦ CRM & Lifecycle

HubSpot
Salesforce
Intercom
Mailmodo
Klaviyo

✦ Outreach & Collab

Clay
Loom
Slack
Notion
Google Workspace

✦ Analytics & Data

PostHog
Mixpanel
Google Analytics
Google Tag Manager
Google Sheets

— Operating Values —

Core Principles

01
Tie Everything to Revenue
Every campaign, copy tweak, and internal tool is prioritized and measured by its direct revenue impact.
02
Ownership Mindset
Treating products as my own. When you take complete ownership, alignment, prioritization, and execution follow naturally.
03
Keep It Simple
Clarity overrides complexity. Make positioning, workflows, and tools easy for customers and teams to understand and act on.
04
High-Output Team Player
Ready to get in the weeds. Success isn't individual — I dive into whatever is needed to help the team win together.
05
Always Learning
AI, tools, customer research, and marketing trends change daily. Continuous, deliberate learning is non-negotiable.

— Timeline —

Experience

Senior Growth Marketing Manager

Richpanel — AI-native helpdesk for ecommerce

  • Growth and product marketing across positioning, events, outbound and sales enablement.
  • Ship AI-native: product films rendered in code, interactive landing pages, one-to-one ABM pages and a sales-call intelligence workflow.
Aug 2026 – Present

Senior Product Marketing Manager

Aftershoot — AI for photographers

  • Led 2 product launches and a full pricing restructure, generating $250k in revenue and a 15% ARPU lift.
  • Built internal AI systems — competitive intelligence engine, email review automation, LP-to-WordPress sync — cutting marketing turnaround by 20% and saving 50 business days.
May 2025 – May 2026

Founding Marketer — PMM & ABM

Docket (DocketAI) — pre-seed → Series A

  • Founding marketing hire. Built the ICP framework and sales demo structure from scratch, built and managed the marketing team 1 → 4, and shaped the GTM narrative that supported a $14M Series A raise.
  • Designed and ran ABM motion: $128k direct revenue, 38% close rate on first campaign, $500k pipeline generated.
Feb 2024 – Apr 2025

Product Marketing Lead

SpotDraft

  • Owned customer advocacy (case studies, NPS) and built comprehensive sales GTM enablement / ICP playbooks.
Dec 2022 – Jan 2024

Content & PMM Lead (Experimentation)

Slintel (a 6sense company)

  • Developed outcome-based content and marketing campaigns driving TOFU acquisition for experimentation.
May 2021 – Dec 2022

Earlier

Vizury (Affle) · Cashfree · Insider · VWO (Wingify) · Exotel

2015 – 2021

— Get in Touch —

Let's talk.

Always up for a good conversation about AI, GTM and product marketing. If you're building something ambitious, I'd like to hear about it.