🟥 EMPLOYERS: Separate from recruiting, I write investment‑grade recruiting briefs that walk A‑player ecommerce candidates through the real business case for your role – the market, channels, KPIs, tech stack, team, and AI issues – before they ever get on Zoom with you. I research / write it. YOU bless it. YOU own it.

RESULT: Your first‑round conversations are with 6-8 highly informed A-players who already understand where/how they can drive EBITDA. To have me write and send your posting out to this list, text Harry Joiner at (404) 281‑2025. Confidential briefs / application process are no problem. ⬇️ SEE EXAMPLE ⬇️

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TODAY’S BRIEF: Paula’s Choice is a prestige, science-backed skincare brand founded in 1995 by Paula Begoun — a former cosmetics journalist who was basically the original whistleblower of the beauty industry. While every other brand was selling “miracles in a jar,” Begoun published books debunking the industry, created the Paula’s Choice Ingredient Dictionary with nearly 4,000 searchable entries backed by peer-reviewed research, and then launched a product line that practices what the books preached.

Paula’s Choice’s tagline is literally about truth. That’s not marketing — that’s an operating philosophy that built a nine-figure DTC business before most beauty brands even had a website.

Paula’s Choice was acquired by Unilever in 2021 for approximately $2 billion. Let that sink in. A skincare company built on ingredient transparency and online education sold for *two billion dollars.* That tells you something important about the durability of Paula’s Choice’s business model and the loyalty of its customer base.

And that customer base — what the industry now calls “skintellectuals” — is worth understanding. These are mostly women aged 25 to 45, college-educated, earning $60K to $150K in household income, who approach skincare the way a financial analyst approaches a balance sheet.

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They read ingredient lists. They check peer-reviewed studies. They research obsessively before buying — often visiting three to four brands’ websites before committing to a single product. They hang out on Reddit’s r/SkincareAddiction (nearly 5 million members), watch dermatologist breakdowns on YouTube, and scroll TikTok for before-and-after proof.

They are not impulse buyers. They are conviction buyers. And once they’re convinced, they stay: Paula’s Choice’s hero product — the $35 Skin Perfecting 2% BHA Liquid Exfoliant — reportedly has a refill retention rate north of 60% at 12 months. That’s not normal. That’s exceptional.

So let’s talk market size:

The US online perfume and cosmetic sales industry generated $62.7 billion in revenue in 2025, up from a 2020–2025 CAGR of 8.1%. Skin care is the single largest product segment at $28.1 billion — 44.8% of the entire market. That’s bigger than cosmetics ($23.3B) and fragrances ($11.3B) combined.

The industry is still in a Growth life cycle stage, with analysts projecting a 2025–2030 CAGR of 1.9% — putting the market on track to approach $69 billion by 2030. You’d be merchandising PaulasChoice.com — a website that sits squarely in the fattest, most durable product category in the largest online beauty market in the world.

Beyond that, the unit economics of this business are genuinely enviable.

Gross margins on prestige skincare products run 70–85%. Paula’s Choice’s estimated gross revenue lifetime value is approximately $765 per customer (based on a ~$62.50 AOV, 3.5 purchases per year, and a 3.5-year customer lifespan — contribution-margin-adjusted LTV would be lower, but the directional picture is the same).

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The estimated blended LTV:CAC ratio is strong by any measure — well above the 3:1 benchmark that makes most DTC operators salivate. This is a business with economic gravity. Customers come in, stay in, and compound in value.

Truly, this role isn’t about maintaining a product catalog.

It’s about transforming how the entire DTC site sells. Paula’s Choice’s current merchandising is product-first: here are our cleansers, here are our exfoliants, here are our serums.

The new Senior Director’s mandate is to shift to routine-first, outcome-based merchandising: “You have acne? Here’s your complete 4-step routine. You’re worried about aging? Here’s yours.” That’s a fundamentally different way to merchandise a skincare site, and it directly attacks the three numbers that matter most:

• Conversion rate (currently 3.5–4.0%)
• Average order value ($50–$75)
• Number of products per order

If you can move customers from buying a single hero product to buying a complete routine, you transform the revenue trajectory of the entire DTC channel.

🟥 JOB SEARCH GOT YOU STUCK? Book an hour with VP/CMO ecommerce recruiter, Harry Joiner, who prepared this analysis. Includes a 3-month membership to NEXTgig™

Unilever brings deep pockets, global infrastructure, and a portfolio of prestige brands that gives the Paula’s Choice team access to resources most standalone DTC brands can only dream about. Paula’s Choice has real intellectual property in its Ingredient Dictionary and educational content ecosystem — assets that generate organic traffic and build trust at a level that virtually no competitor can replicate.

Since I know you’re going to upload this entire posting to GPT, I’ll be super-candid:

Paula’s Choice has experienced leadership transitions in recent years, including a CEO change. That’s something Paula’s HR can discuss in detail with qualified candidates — and frankly, it’s one of the reasons the opportunity is as interesting as it is. New leadership creates new mandates, and new mandates create career-defining roles.

The DTC channel has been under pressure: Revenue shifted meaningfully toward wholesale partners over the past few years, and the DTC site has not been immune to the broader headwinds hitting online beauty (rising CAC, post-pandemic normalization, increased brick-and-mortar competition).

This role exists because Paula’s Choice needs a leader who can reverse that trajectory — not with discounts and promotions, but with smarter merchandising, better guided selling, and a site experience that makes the case for buying direct. If you’re someone who thrives on turnaround problems — where the playbook isn’t written yet and the upside from getting it right is enormous — this is that job.

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ABOUT THE ROLE

As Senior Director of Digital Merchandising, you will own the digital merchandising strategy and execution across North America (US and Canada) and Australia for Paula’s Choice — a prestige skincare brand generating nine figures in total ecommerce revenue across all domains. Your mission will be to:

1. Lead the transformation from product-first to routine-first, outcome-based merchandising across every digital touchpoint — homepage through checkout;
2. Drive measurable improvements in conversion rate, AOV, and routine completion rate through guided selling, personalization, and kits/sets strategy; and
3. Build a scalable merchandising operating model with test-and-learn roadmaps, category health dashboards, and playbooks that can be deployed across regions.

Paula’s Choice’s DTC channel needs a leader who can reverse recent revenue declines through merchandising excellence, not someone who wants to optimize an already-humming engine.

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Areas of Oversight

Routine-First Digital Merchandising Strategy

• Own and evolve the end-to-end digital merchandising strategy across NA and Australia, leading the transformation from a product-taxonomy-driven site experience to an outcome-based, routine-first model that guides customers from skin concern to complete regimen — not just individual product purchase.
• Build and manage a merchandising calendar that rotates hero content on weekly/biweekly cadences tied to seasonal skin concerns (SPF in spring, hydration in winter, exfoliation in “skin reset” January), eliminating the “silent growth killer” of stale, season-mismatched content.
• Develop a kits and sets strategy that genuinely increases AOV — meaning the kit price is higher than the most common individual-product purchase but lower than the sum of parts, using price anchoring and decoy-effect principles to create the perception of savings while lifting average ticket.
• Establish the merchandising operating model as a documented, replicable playbook (sort logic, test templates, PDP architecture, KPI definitions) that can be deployed to new regions without reinventing the wheel.

Homepage, Navigation & Information Architecture

• Redesign the homepage from a product-grid layout to outcome-based hero modules (“Clear acne in 4 weeks,” “Build your anti-aging routine”) that hook visitors with an emotional truth before surfacing products — reducing the current ~48–52% bounce rate by giving the “skintellectual” customer an immediate reason to stay.
• Restructure site navigation from product taxonomy (Cleansers / Exfoliants / Moisturizers) to shopper-mission taxonomy (“I’m new to skincare,” “I have acne,” “I want anti-aging,” “Build my routine”), guiding a linear emotional journey rather than dumping the customer into a grid.
• Elevate the skincare quiz from a buried feature to a top-level navigation element — the digital equivalent of an in-store beauty advisor — and optimize it to generate measurable downstream conversion lift and AOV lift, not just email captures.
• Deploy personalized homepage experiences by visitor segment: returning customer sees “Restock your routine,” new visitor sees “Find your perfect routine in 60 seconds,” retail-referred visitor sees DTC-exclusive value propositions.

🟥 JOB SEARCH GOT YOU STUCK? Book an hour with VP/CMO ecommerce recruiter, Harry Joiner, who prepared this analysis. Includes a 3-month membership to NEXTgig™

Product Listing Pages (PLPs) & Product Detail Pages (PDPs)

• Add routine context to every PLP product card — indicating where each product fits in a routine (“Step 2: Exfoliate”) and which skin concern it addresses — to reduce the decision fatigue that drives cart abandonment in a research-obsessed customer base.
• Implement dynamic sort/filter capabilities by skin concern and routine step, moving beyond “bestseller” and “price” defaults to a system where the skintellectual can filter by “my skin type,” “my concern,” and “my routine step.”
• Redesign PDP information architecture as a linear persuasion sequence — outcome headline → social proof (rating + review count + TikTok virality signal) → science story (ingredient + study citation) → routine placement (“Use after cleanser, before serum”) → add-to-cart + “Complete your routine” bundle — because the current product-spec-first layout leaves conversion on the table.
• Embed the Paula’s Choice Ingredient Dictionary (nearly 4,000 entries) directly into PDPs so customers can tap any ingredient in the formula to see the research, converting the PDP from a sales page into the education platform this customer demands.
• Build “routine completion” upsell modules on every PDP: if a customer views the hero exfoliant, show “Pair with these for a complete exfoliation routine” — cleanser + BHA + moisturizer + SPF at a bundled price.

Cart, Checkout & Onsite Search

• Implement “routine gap” detection in the cart: if a customer has a cleanser and serum but no exfoliant, surface a contextual nudge explaining why most routines include this step — the digital equivalent of “Did you forget…?” that attacks incomplete routines without feeling pushy.
• Optimize the free shipping threshold relative to current AOV: if average order value is $62 and free shipping kicks in at $50, you’re leaving money on the table; if at $75, you create a “just one more product” nudge. Run threshold tests to find the elasticity point.
• Upgrade onsite search from keyword matching to intent matching: a search for “acne” should return a curated results page with “Your acne routine” as the hero, followed by products ranked by routine step, followed by educational Ingredient Dictionary articles — turning search into a merchandising surface, not just a utility.
• Build a subscription/auto-replenish prompt at checkout: skincare products are consumed every 2–3 months, and a “Subscribe and save 15%” offer at the right moment converts one-time buyers into recurring revenue and directly extends customer lifespan.

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Guided Selling, Personalization & Recommendation Systems

• Champion the scaling of quiz-led journeys, dynamic recommendations, and next-best-product logic across every touchpoint — homepage quiz, PDP “complete your routine” modules, cart “routine gap” nudges, and post-purchase “your next product” recommendations.
• Build or refine a recommendation engine that goes beyond “customers also bought” into routine-aware, margin-weighted next-best-product logic — where the algorithm factors in both purchase probability AND contribution margin per product, not just click-through rate.
• Own the economics of personalization: measure incremental revenue per personalized experience versus cost to maintain it (platform fees, engineering time, content creation for variant experiences, QA across segments), and know when personalization produces diminishing returns.
• Distinguish between personalization that lifts conversion (recommending the right single product), personalization that lifts AOV (recommending a complete routine), and personalization that lifts retention (post-purchase “your next product” logic) — because these are three different strategies with three different measurement frameworks.

Agentic AI & Merchandising Automation

• Pilot AI-driven merchandising tools for automated PLP sort optimization, dynamic bundle recommendations, real-time promotion performance monitoring, and category health dashboards — recognizing that McKinsey research shows merchants currently waste 40% of their time on low-value tasks that intelligent systems can compress or eliminate.
• Navigate the 71% AI readiness gap (per McKinsey’s 2026 research): most merchandising organizations report limited AI impact because they deploy tools without clear roles, success measures, or phased implementation plans. Build an AI adoption roadmap that starts with the highest-leverage, lowest-risk use cases (search relevance, sort optimization) before scaling to autonomous category management.
• Use search query data as a merchandising intelligence engine: mine what customers search for but can’t find (product gaps), what they search for but don’t buy (conversion gaps), and what synonyms they use (messaging gaps) to feed product marketing, content, and R&D with monthly “search insights” reports.

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Analytics, Testing & Performance Measurement

• Establish a “category health” dashboard and KPI framework tracking: conversion rate by funnel stage (homepage-to-PLP, PLP-to-PDP, PDP-to-cart, cart-to-checkout, checkout-to-purchase), AOV decomposition (by channel, new vs. returning, product category, net of returns), routine completion rate (% of customers buying 3+ products), refill rate by cohort, and revenue per visit.
• Build a rigorous test-and-learn operating model: 2–3 merchandising experiments per sprint, each with a clear hypothesis, success metric, holdout group, and kill criteria — transforming merchandising decisions from opinion-driven to evidence-driven.
• Connect merchandising improvements to contribution margin, not just conversion rate: ensure every A/B test result can be translated into its impact on CAC payback period, LTV by cohort, and margin-adjusted revenue — the financial language that resonates with enterprise leadership.
• Understand and apply incrementality measurement: use controlled A/B tests with holdout groups to isolate the causal effect of merchandising changes from concurrent shifts in paid media, CRM, pricing/promotion, and seasonality.

Cross-Functional Leadership & Regional Coordination

• Partner with Brand, Product Marketing, R&D, and Creative to translate Paula’s Choice’s science-backed ingredient claims into high-converting onsite merchandising stories — bridging the gap between clinical research and customer-facing content.
• Drive category performance across Cleansers, Exfoliants/Toners, Treatments & Serums, Moisturizers, SPF, Body + Lip, and Kits — each with distinct merchandising requirements tied to purchase frequency, margin profile, and role in the routine.
• Lead and develop a team of merchandising leaders and specialists across regions, while building influence with cross-functional partners (UX, engineering, CRM, analytics) in a matrixed organizational structure where authority must often be earned through credibility rather than reporting lines.
• Design the DTC merchandising experience to complement retail partners (Sephora, Amazon, Nordstrom), not duplicate them — the DTC site should own education, routine-building, and subscription because those are things retail partners cannot replicate.

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Qualifications

EDUCATION & CERTIFICATION

• Bachelor’s degree in marketing, business, merchandising, or a related field — or equivalent hands-on experience that speaks louder than a diploma.

FUNCTIONAL COMPETENCIES — SKILLS, KNOWLEDGE & EXPERIENCE

• 10+ years of progressive experience in digital merchandising, e-commerce strategy, or digital commerce, with beauty, skincare, or prestige CPG experience strongly preferred.
• Demonstrated track record of driving measurable improvements in conversion rate AND average order value through onsite merchandising — not through discounting or promotional tactics that destroy margin.
• Deep, hands-on understanding of the full DTC funnel: homepage, navigation/information architecture, PLP/PDP optimization, cart merchandising, checkout flow, and onsite search. You’ve owned these surfaces end-to-end, not just influenced them from the sidelines.
• Direct experience building and optimizing guided selling tools — skincare quizzes, recommendation engines, dynamic routine builders, next-best-product logic — with measurable downstream impact on conversion and AOV. The application will ask you a Yes/No on this, and “Yes” better come with receipts.
• Hands-on experience with enterprise ecommerce platforms (Salesforce Commerce Cloud strongly preferred; Shopify Plus, Magento, or similar acceptable) and an understanding of what’s achievable within the constraints of a headless commerce architecture.
• Experience with personalization and recommendation platforms (Dynamic Yield, Nosto, Algolia Recommend, Salesforce Einstein, or custom ML models) and the ability to distinguish between segment-level and individual-level personalization — and when each is appropriate.
• Strong analytical fluency: you can decompose a headline conversion rate into its five funnel stages, identify which stage is underperforming, and connect the improvement to contribution margin — not just celebrate a percentage lift on a dashboard.
• Experience with A/B testing at scale, including understanding of statistical significance, holdout groups, and incrementality measurement. You measure what your changes actually caused, not what happened to coincide with them.
• Proficiency with analytics platforms (Google Analytics 4, Adobe Analytics, or similar) and the ability to build and interpret category health dashboards, cohort analyses, and test-and-learn readouts.
• Familiarity with AI-powered merchandising tools and a point of view on where agentic AI can automate low-value merchandising tasks versus where human judgment remains essential. Nice-to-have: actual deployment experience with AI-driven product recommendations, search relevance optimization, or automated assortment planning.
• Multi-region ecommerce experience (North America + at least one international market) with an understanding of how to build merchandising playbooks that scale across geographies without losing local relevance.

🟥 JOB SEARCH GOT YOU STUCK? Book an hour with VP/CMO ecommerce recruiter, Harry Joiner, who prepared this analysis. Includes a 3-month membership to NEXTgig™

LEADERSHIP & MANAGEMENT COMPETENCIES

• Experience leading and developing merchandising teams (direct reports + dotted-line influence over specialists, agencies, and cross-functional partners) in a matrixed organizational environment where alignment is earned, not mandated.
• Proven ability to drive cross-functional initiatives that require buy-in from brand, product marketing, creative, UX, engineering, CRM, and analytics — without positional authority over all of those teams.
• Excellent communication skills: you can present merchandising results in a format that enterprise leadership recognizes as investor-grade — contribution-margin-adjusted LTV by cohort, CAC payback by channel, incremental revenue by test — not just “we improved conversion by X%.”
• Comfort operating within a large, global organization’s governance and approval structures while still moving with urgency and protecting the speed of your test-and-learn cadence.

PERSONAL CHARACTERISTICS

• High integrity and intellectual honesty — you report what your data actually shows, not what the room wants to hear.
• Self-directed and proactive — you don’t wait for a brief to identify what needs fixing on the digital shelf.
• Deeply curious about customer behavior — you’ve spent time in the data, in the reviews, in the search queries, and on the Reddit threads trying to understand what your customer actually wants versus what Paula’s Choice assumes they want.
• Comfortable with ambiguity and organizational complexity — you’ve worked in environments where the answer isn’t obvious, the resources weren’t guaranteed, and you had to build the case for your own roadmap.
• Entrepreneurial mindset paired with enterprise patience — you think like a founder but know how to navigate large-organization dynamics without burning bridges.
• Bias toward action and experimentation — you’d rather run a test and learn something than debate a hypothesis for another quarter.
• Resilience under pressure — you’ve managed through revenue headwinds, shifting priorities, or leadership transitions and still delivered results.
• Genuine passion for the intersection of data, customer experience, and commerce — this isn’t just a job to you, it’s the craft you’ve been building your career around.

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🟥 EMPLOYERS: Separate from recruiting, I write investment‑grade recruiting briefs that walk A‑player ecommerce candidates through the real business case for your role – the market, channels, KPIs, tech stack, team, and AI issues – before they ever get on Zoom with you. I research / write it. YOU bless it. YOU own it.

RESULT: Your first‑round conversations are with 6-8 highly informed A-players who already understand where/how they can drive EBITDA. To have me write and send your posting out to this list, text Harry Joiner at (404) 281‑2025. Confidential briefs / application process are no problem.