Description review

AI Growth Marketer — DTC Channel

Livaclean · Pakistan · back to the listing

HR standards

73/100

solid

Title ↔ description

63/100

needs work

Reads as

Marketing Manager

92% confident

What this role officially is

marketing manager — ESCO, the EU occupation classification

Marketing managers carry out the implementation of efforts related to the marketing operations in a company. They develop marketing strategies and plans by detailing cost and resources needed. They analyse the profitability of these plans, develop pricing strategies, and strive to raise awareness on products and companies among targeted customers.

Also known as: advertising sales manager, promotions manager, marketing executive, telemarketing manager, product marketing manager, market manager

How others title the same work

Large employers

  • Marketing Manager Canonical
  • Senior Marketing Automation Manager Canonical
  • Marketing Manager Canonical Ltd.
  • Senior Marketing Automation Manager Canonical Ltd.
  • Performance Marketing Manager, Global Coinbase

Startups

  • Head of Marketing BlueCargo
  • Growth & Marketing Lead Bluejay
  • Growth Marketer Callab AI
  • Experiential Marketing Coordinator Candid Health
  • Growth Lead Anglera

What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

AI Growth Marketer to own Livaclean's Shopify DTC channel — build landing pages with Claude CLI, create static ad variations at scale, and run A/B tests across the funnel. Livaclean is a 7-year-old ecommerce skincare brand (pimple patches, face care, hair care) with a fully remote team across Pakistan, Philippines, India, and LATAM.

The Role

We're a 95% Amazon business building our DTC/Shopify channel (~$25K/month today). This is an experimental, builder-stage role you're not maintaining a system, you're creating one. Claude CLI proficiency is a hard requirement.

You'll own the static ad pipeline: produce 20-50 AI-powered ad variations/week, test messaging across awareness levels, and feed winning data to our video creative team. 500+ UGC videos/month already flowing in for creative mining.

What You'll Do

Build and optimize Shopify landing pages, PDPs, and advertorials using Claude CLI (~30%)

Create 20-50 static ad variations/week using AI tools — test hooks across problem/solution/product-aware audiences (~30%)

Run A/B tests across pages, ads, and email — track CTR, CPA, ROAS, and conversion rates (~20%)

Optimize Klaviyo email flows (welcome, abandoned cart, post-purchase) (~10%)

Develop ad concepts at volume, mine UGC library, collaborate with Creative Lead (~10%)

Requirements

Must-Have:

Claude CLI proficiency (this is non-negotiable)

Marketing fundamentals: awareness levels, funnels, A/B testing, ad performance analysis

Shopify experience (PDP editing, DTC ecommerce flows)

AI-powered static ad creation at volume (portfolio required)

Data-driven, self-directed, comfortable building from scratch

Nice-to-Have:

Klaviyo or email marketing experience

Meta Ads, Google Ads, or TikTok Ads manager

DTC CRO, A/B testing tools (VWO, Optimizely)

HTML/CSS, skincare/beauty category experience

Working Arrangement

1-month paid trial full-time, with growth into DTC Growth Lead

Fully remote, a sync-first, 4 hours/week CT overlap for syncs

We cover all AI tools, Shopify apps, and software — you choose the stack

Direct founder access, full autonomy over workflow

To Apply:

1. Claude CLI demo (mandatory) — Loom video showing you building something with Claude CLI

2. Marketing portfolio — landing pages, static ads, email campaigns, Shopify work. Specialist in one area? Show depth, not breadth

3. Pick any Livaclean product — mock up 1 static ad concept for 3 awareness levels (problem/solution/product-aware)

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 4 points (from 77 before penalties). Reviewed 21 Sep 2026.