Shalini Verma

Toronto · AI Product & Growth

I build products.Then I build the systems that keep them growing.

One person. One loop.

Watch how people behave → design the experience → convert → let the system compound.

Seven years in. AI SaaS from zero. Organic growth. No ad budget.

Scroll

01 Watch

How people actually behave

02 Build

The experience they convert on

03 Convert

Psychology, not guesswork

04 Compound

Systems that keep running

Closed loop · product · growth · automation

How I work

Most teams split this across three seats: product, growth, AI.

I run it as one system.

Typical setup

Product → Growth → Engineering

Handoffs. Delay. Lost context.

ProductGrowthEngineering
Here

Research → design → ship → measure → compound

Same person. No relay race.

ONEOperatorProductGrowthSystems
ResearchDesignShipMeasureCompound

That’s the edge. Not a slide about it — the work is inspectable.

The tools I wire
into one system.

AI & Automation

Claude CodeClaude Opus / SonnetChatGPT / GPT-4GrokGeminiPerplexityFal.aiMidjourneyRunwayKlingElevenLabsMCPAI AgentsPrompt EngineeringMulti-agent workflows

Growth & Marketing

Growth MarketingGTM StrategyMeta AdsGoogle AdsEmail AutomationCold EmailSMS OutreachCROA/B TestingFunnel OptimizationPsychological Copy

SEO · GEO · Analytics

Technical SEOProgrammatic SEOGEOLLM VisibilityGA4GTMMeta PixelMixpanelClarityAhrefsSEMrush

Build & Ops

PythonSupabaseCloudflareNext.jsCron JobsSlack AutomationAPI IntegrationWeb ScrapingGitffmpegFigmaAdobe CC

Impact

Real outcomes. Not activity.

0×

Creative output

Vs doing it by hand

$0

Paid ads

Organic only.

0+

Years

Across AI SaaS, B2B, and luxury conversion

0

Weekly report decks

Daily signals instead.

Selected work

Four systems. Same operating model.

01 · Content engine

Claude Code, MCP, Python, Fal.ai.

A small team that ships like a studio.

ManualAI systemStudio output
  • Claude Code
  • MCP
  • Python
  • Fal.ai
Claude CodeMCPPythonFal.ai

02 · Intelligence

Live product data into Claude. Daily Slack signals.

The weekly reporting ritual goes away.

Live dataClaudeDaily Slack
ClaudeSlackAnalytics

03 · Measurement

GA4, Pixel, funnels, SEO/GEO — from zero.

See what works before you spend on ads.

ZeroTrackingOrganic sales
GA4PixelSEO/GEO

04 · Pipeline

Research, cold email, SMS.

The pipeline leaves the spreadsheet.

ResearchOutreachPipeline
B2BEmailSMS

Experience

Jan 2025 – Present

imagera.ai

Head of Product Marketing · Remote, Canada

Jan 2025 – Present

Grew an early AI product: brand, measurement, organic GTM, and the automation underneath it.

  • Built the marketing system in Python, Claude Code, MCP, Fal.ai — output jumped vs manual production
  • Claude reads live analytics and writes reports from real data
  • Daily growth signals in Slack. No weekly deck
  • Launch to consistent daily sales with no paid acquisition
  • Tracking from scratch: Meta, Pixel, GA4
  • Site, brand voice, and psychology written into onboarding and landings

Earlier

  • PropZella Marketing Specialist

    2024–2025

  • Tola and Carat Creative Lead

    2021–2023

  • JIMS Rohini Visiting Faculty

    2019–2021

About

Psychology in the strategy.
Systems in the execution.

I stay in the work: research the problem, design the experience, read the data, then ship the system so it keeps running without me in every loop.

The mix is the point — behavioural science, luxury-brand conversion, B2B pipeline, and AI that stays tied to evidence.

Toronto. Open to Canada and the US. Remote or hybrid.

Education

B.A. Psychology, IGNOU Master’s-level coursework in behavioural science and research methods Diploma, Jewellery Designing, IIGJ

Close

Let's build something people
actually want to use.

Ambitious AI and SaaS problems — especially where behaviour, experimentation, and systems meet.