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HARRY’S COMMENTS: Helzberg Diamonds has been in business since 1915. That’s 111 years. They’ve survived two world wars, the Great Depression, the rise of the shopping mall, the death of the shopping mall, the internet, Amazon, and now the AI revolution.

The reason they’re still standing — and still generating an estimated $477 to $565 million in annual revenue across roughly 160 stores and a ~$92 million ecommerce business — is because they’re a Berkshire Hathaway subsidiary. Warren Buffett acquired them in 1995, and that means two things that matter enormously if you’re evaluating this opportunity: patient capital and zero quarterly earnings anxiety.

While Signet — the #1 player in the space — has closed 150 stores and is evaluating another 150 under public-market pressure, Helzberg is investing. They dropped “Diamonds” from their name in late 2024 to signal a broader product range and younger customer.

They launched a 3D custom ring builder, in-store “Diamond Rooms” with proprietary magnification technology, and they’re testing a new luxury experience store format at Roosevelt Field and Galleria Dallas, with plans to move into off-mall environments. The newly created BH Jewelry Group — which puts Helzberg alongside sister brand Ben Bridge Jeweler under CEO Brad Hampton — gives the VP of Ecommerce a two-brand canvas to work with. That is rare.

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Now here’s the market context that makes this role genuinely compelling.

The US jewelry store market is $60.3 billion. The online jewelry and watch market is another $17 billion. And the industry is so fragmented that the #1 player — Signet, which owns Kay, Zales, and Jared — has only 8.1% market share. Berkshire Hathaway’s jewelry segment is #3 at 5.2%.

The top four players combined control barely 23% of the market. There are 73,980 jewelry businesses in this country. That kind of fragmentation, backed by Berkshire capital and a 111-year brand, is a share-taking machine for anyone who knows how to compound.

And “compound” is exactly the right word, because the macro tailwinds are gone.

Online jewelry grew at 5.9% CAGR from 2020 to 2025. That collapses to 0.3% through 2030. The brick-and-mortar channel is essentially flat. Anyone who takes this role expecting to ride a rising tide will be frustrated. The right candidate understands that growth from here is about market share gains, operational efficiency, and building systems that create compounding customer intelligence — not about catching a wave.

This is where it gets interesting.

Households earning over $150,000 account for 45.3% of industry revenue. The $70K to $150K range accounts for another 18.7%. That’s Helzberg’s sweet spot. The core customer is walking in — or, increasingly, logging on — to buy an engagement ring (average cost: $5,800), anniversary earrings, or a milestone gift. Helzberg’s average order value online is roughly $1,025. That’s not a $30 impulse purchase.

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These are high-consideration, emotionally charged, research-heavy decisions where trust matters enormously. Millennials now drive 38% of all jewelry purchases, with Gen Z at 12% and growing. And here’s something most people miss: 80% of American adults now buy fine jewelry for themselves — and among Millennials, that number jumps to 86%.

Self-purchase, not bridal, is the growth story. Add men’s jewelry — Louis Vuitton launched its first men’s fine jewelry line in 2024 — and you have multiple category expansion vectors that don’t depend on anyone getting engaged.

But the real reason I think this is a great role has nothing to do with market size. It has to do with timing. We are in the earliest days of a structural shift in how consumers discover products, and it hands a massive advantage to companies like Helzberg — if they move fast.

🟥 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™

The AI-native discovery paradigm — what the industry calls Answer Engine Optimization and Generative Engine Optimization — is fundamentally different from traditional SEO. When a customer asks ChatGPT or Perplexity “what’s the best engagement ring for $3,000” or “where should I buy lab-grown diamonds online,” the AI pulls from a completely different set of signals than Google does.

Amazon’s product pages are optimized for Amazon’s own algorithm — they are not optimized for how AI models synthesize and cite sources. The data shows that brands ranked 4 to 30 in traditional Google search actually gain 2 to 3 times the AI citation share when they optimize their content for the citation economy. This is a David versus Goliath opportunity, and it has a shelf life. The VP who builds Helzberg’s AEO/GEO infrastructure in 2026 creates a compounding advantage. The VP who waits until 2028 is too late.

Helzberg’s ecommerce tech stack is robust:

Salesforce Commerce Cloud (migrated from Magento, with DEPT® as the technology agency), Salsify for product information management, Elastic Suite for site search, TurnTo for reviews, Monetate and Syte for recommendations, Pixlee for user-generated content, and Wpromote handling paid media. The tools are all there. The problem is that those tools are filing cabinets that don’t talk to each other.

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The customer who browsed engagement rings three times, read four reviews, abandoned a cart, and came back through a paid search ad is known to five different systems and understood by none of them. The VP’s most important job is not to launch any single feature. It is to build the synthesis layer that connects those filing cabinets and to use AI as the engine that runs it.

Every day that doesn’t happen, the compound builds for Amazon — not for Helzberg.

Taking into account the market dynamics, the competitive landscape, the tech stack, the strategic playbook, and the organizational realities, the picture that emerges when you connect all the dots is significantly more compelling than what a job description can convey. If you’re a VP-level ecommerce leader running a $50M to $150M DTC or omnichannel business, and you’ve been wanting to build something that compounds — not just maintain something that exists — this appears to be worth a serious look.

About the Role

The VP of Ecommerce at Helzberg Diamonds owns the full P&L for a ~$92 million digital channel across two Berkshire Hathaway jewelry brands — Helzberg.com and BenBridge.com — leading a team of 20 to 25 associates with 5 to 6 direct reports. Your mission will be to:

1. Build the AI-native discovery infrastructure (AEO/GEO) that positions Helzberg to capture share in the citation economy before the window closes;
2. Create the synthesis layer across a robust but siloed tech stack that turns customer data into compounding intelligence; and
3. Drive measurable improvement in conversion, traffic, AOV, and NPS while bridging the digital-to-physical experience across 160+ stores.

The business is healthy, the capital is patient, and the team is in place. This is a compounding opportunity — you’re here to make the machine smarter, not to rebuild it.

🟥 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™

Areas of Oversight

Digital Revenue & Channel P&L

• Own the full P&L for Helzberg.com and BenBridge.com, driving direct online revenue (~$92M combined), margin targets, and profitability while partnering cross-functionally with Merchandising, Performance Marketing, and 1:1 Marketing teams to capture incremental traffic and improve conversion from its current 0.5-1.0% baseline.
• Define and execute the ecommerce promotions strategy and calendar — both as part of the omnichannel event cadence with Brand Marketing and as a standalone ecommerce-specific program — to drive sales, margin, and AOV results across both brands.
• Influence the Merchandising group to address assortment gaps specific to the online channel, including lab-grown diamond positioning, men’s jewelry expansion, and self-purchase occasions that are growing faster than bridal.

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AEO/GEO & AI-Native Discovery

• Own the development and execution of Helzberg’s strategy for emerging AI-driven search and discovery paradigms — specifically Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) — alongside the traditional SEO program, ensuring Helzberg shows up when customers ask AI assistants where to buy engagement rings, lab-grown diamonds, or fine jewelry.
• Build the content infrastructure that earns AI citations: structured data, rich product schemas, authoritative editorial content that answers the specific questions language models are trained to retrieve, and continuous optimization against a 4-to-6-week citation half-life cycle.
• Partner with Performance Marketing, Wpromote, and 1:1 Marketing to ensure the paid media, organic search, and AI-native discovery strategies reinforce each other rather than cannibalizing — treating AEO as a primary accountability with dedicated team ownership, not an SEO side project.

On-Site Search & Conversion Architecture

• Lead on-site search strategy across Salesforce Commerce Cloud and Elastic Suite, instrumenting zero-result searches, high-bounce queries, and conversion-by-search-term data to feed both the merchandising team and the AI recommendations layer simultaneously.
• Own the full-funnel customer experience on both sites — from product discovery through checkout — through a comprehensive A/B testing program, UX optimization, and deep behavioral analytics that reveal how customers actually shop for high-consideration purchases versus fashion jewelry versus gifts.
• Identify and integrate high-impact third-party tools and enhancements, including personalization engines (Monetate/Syte), review platforms (TurnTo), and UGC tools (Pixlee), evaluating each not as a standalone tool but as a node in the broader synthesis layer that creates compounding customer intelligence.

Content Strategy & AI-Assisted Production

• Build and lead a comprehensive content strategy across both brands that supports SEO, AEO/GEO, on-site conversion, and email lifecycle — ensuring the editorial voice, sustainability and ethical sourcing narratives, and product storytelling meet the transparency expectations of Millennial and Gen Z buyers who now drive 50% of all jewelry purchases.
• Deploy AI-assisted content generation at scale — product descriptions, email copy, social content, promotional briefs, meta descriptions — to give the creative team a drafting engine that reclaims 15-20 hours per week currently spent on repeatable production work, redirecting that time toward strategy, testing, and brand differentiation.
• Champion innovation in AI-driven product visualization, including virtual try-on, 360-degree imagery, AI on-model photography, and the 3D custom ring builder, ensuring that every visual asset is built on clean, complete product data from Salsify rather than launched on top of incomplete attributes.

Omnichannel Experience & Fulfillment

• Guide omnichannel and order fulfillment strategy across BOPIS, curbside, ship-from-store, drop ship, and special orders, partnering with Retail Operations, the Distribution Center, IT, and Customer Care to improve Net Promoter Score for online orders while maintaining on-time delivery and inventory efficiency.
• Build the digital-to-physical bridge that is Helzberg’s structural competitive advantage over pure-play etailers: online appointment booking, virtual consultations that convert to in-store visits, and digital experiences that make the 160-store footprint a conversion engine for high-consideration purchases where customers want to hold the ring before buying.
• Develop and launch a men’s jewelry discovery and purchase experience — from how the male customer finds the site through how he checks out — capturing an emerging growth segment that IBISWorld projects as a key driver through 2030 before Tiffany, Cartier, and LVMH claim the space.

Platform & Tech Stack Orchestration

• Manage the Salesforce Commerce Cloud platform and the surrounding ecosystem (Salsify PIM, Elastic Suite search, TurnTo, Monetate/Syte, Pixlee), with a strategic focus on building the connective tissue between systems — ensuring product data flows cleanly from ERP to PIM to site and that customer behavioral data feeds personalization, search, and recommendations in real time.
• Guide the Product Management process to ensure the highest-value platform opportunities are prioritized, scoped accurately, and delivered as quickly as possible — managing the inevitable tension between operational stability, feature launches, and the need to ship compound wins before competitive windows close.
• Audit product data quality in Salsify as a Day 1 priority, recognizing that every AI-powered feature on the roadmap — from virtual try-on to agentic search to personalized recommendations — is only as good as the attribute data underneath it, and that launching AI features on dirty data destroys customer trust faster than not having the features at all.

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Cross-Brand Capability Transfer

• Transfer learnings and capabilities between Helzberg and Ben Bridge while maintaining each brand’s distinct identity and customer expectations — building a shared infrastructure layer (tech stack, testing frameworks, content workflows, AI tools) with brand-specific execution on top.
• Apply strong judgment about what scales across brands and what doesn’t — recognizing that Helzberg and Ben Bridge serve different customer profiles, different market maturities, and different competitive landscapes, and that the VP who treats them as one brand will fail as surely as the VP who runs two completely independent operations.

Team Leadership & AI Operational Readiness

• Lead, coach, and develop a team of 20-25 associates across both brands, building a test-and-learn culture where every experiment is captured in a structured knowledge base (hypothesis, execution, result, implication) that creates organizational memory rather than institutional amnesia.
• Close the AI capability dissipation gap: move the team from AI-curious to AI-operational by starting with one high-visibility workflow (likely content generation or product copy), instrumenting the time savings, publishing the results internally, and letting adoption compound across additional workflows — without mandating AI use or triggering change fatigue.
• Lead cross-functionally with Merchandising, Marketing, Customer Care, IT, and external agencies (DEPT®, Wpromote) in a way that builds Helzberg’s core values and culture while delivering results that compound quarter over quarter.

🟥 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™

Qualifications

EDUCATION & CERTIFICATION

• Bachelor’s degree required; MBA preferred.

FUNCTIONAL COMPETENCIES — SKILLS, KNOWLEDGE & EXPERIENCE

• 15+ years of progressive ecommerce leadership experience required, with strong preference for candidates who have owned a channel-level P&L in multi-channel retail — and extra credit for jewelry, luxury goods, or other high-consideration, high-AOV categories where trust drives conversion.
• Deep operational experience with complex ecommerce merchandising platforms — specifically Salesforce Commerce Cloud (SFCC), Magento, or equivalent enterprise platforms — including hands-on understanding of how product data flows from ERP to PIM (Salsify or similar) to the live site and where that flow typically breaks.
• Demonstrated experience with on-site search engines (Salesforce Commerce Search, Elastic Suite, Algolia, or comparable), with a track record of instrumenting search performance and using search data to drive both merchandising decisions and conversion optimization.
• Proven track record building or materially improving a traditional SEO program, plus demonstrated fluency in the emerging AEO/GEO landscape — the candidate should understand how AI-driven search engines retrieve, synthesize, and cite content differently from Google, and should have a point of view on how to win in the citation economy.
• Experience deploying AI and machine learning tools in a revenue-aligned ecommerce context — not as a research experiment but as operational infrastructure that freed team capacity, improved conversion, or created defensible competitive advantage through proprietary data and models.
• Hands-on experience with ecommerce personalization engines (Monetate, Dynamic Yield, Salesforce Personalization, or similar), product review platforms (TurnTo, Bazaarvoice, Yotpo), and UGC tools (Pixlee, Olapic) — evaluated not as standalone integrations but as components of a broader customer intelligence system.
• Strong understanding of omnichannel fulfillment economics — BOPIS, ship-from-store, drop ship, special order — including how online-to-offline conversion works for high-consideration purchases where the customer needs to touch, try on, and feel confident before committing.
• Experience with robust A/B testing and experimentation programs at scale, including the organizational discipline to capture and archive every test result in a retrievable format that compounds institutional knowledge rather than evaporating it.

LEADERSHIP & MANAGEMENT

• Proven ability to lead and motivate a multi-level team of 20-25 people with 5-6 direct reports, setting expectations, annual goals, and conducting quarterly performance reviews while building bench strength across both brands.
• Demonstrated ability to lead cross-functionally in a matrix organization — partnering with Merchandising, Brand Marketing, Performance Marketing, IT, Customer Care, and Retail Operations without formal authority over most of those teams.
• Track record of managing external agency relationships (technology, paid media, creative) as genuine strategic partners rather than vendor-managed services — holding agencies accountable for business outcomes, not just deliverables.
• Experience leading through a period of technological or organizational transformation — specifically, moving a team from “we use tools” to “we use tools that talk to each other” — with empathy for the change management required to close the gap between AI-curious and AI-operational.

PERSONAL CHARACTERISTICS

• High integrity and transparency — this is a Berkshire Hathaway company, and the culture reflects that.
• Natural curiosity and a test-and-learn orientation — you don’t assume you know the answer; you design the experiment.
• Comfort with ambiguity and long time horizons — Berkshire’s patient capital is an extraordinary strategic advantage, but only for people who think in terms of compounding rather than quarterly wins.
• Self-directed and decisive — this is a VP role with broad accountability; you are expected to identify problems, frame solutions, and move without waiting for permission.
• Strong communicator — both written and oral — with the ability to translate technical complexity into business language for senior leadership and operational specificity for the team.
• Analytical rigor balanced with commercial instinct — you trust data but you also know when the data is lagging the market.
• Genuine interest in the customer and the product — you don’t need to be a jewelry expert, but you need to care about high-consideration, emotionally charged purchase decisions and the trust they require.
• Resilience and steady temperament — the jewelry industry is classified as “hazardous” by IBISWorld (high volatility, external price drivers like gold and tariffs that you cannot control), and the right candidate finds that energizing rather than exhausting.

JUST FOR FUN: HERE ARE FIVE PURELY HYPOTHETICAL AI-RELATED INTERVIEW QUESTIONS FOR THIS ROLE …

• Helzberg runs Salsify as its PIM, and the product data flows from ERP to PIM to SFCC to the live site. If I told you that the product attribute data in Salsify is “good enough for the website but not good enough for AI,” what would you assume is broken, and how would you audit it before greenlighting any AI-powered feature like virtual try-on or agentic search?
• Walk me through how you would build an AEO/GEO strategy for a query like “best engagement ring under $5,000 for a lab-grown diamond.” What signals do AI models use to decide which brands to cite, how is that different from how Google ranks pages, and what would you have your team produce in the first 90 days to start earning those citations?
• You have a 20-person ecommerce team that is AI-curious but not AI-operational — most of them have used ChatGPT personally but nobody has a working AI workflow in their daily job. How do you close that gap without mandating adoption or triggering change fatigue, and what’s the first workflow you’d target?
• Helzberg’s tech stack includes SFCC, Salsify, Elastic Suite, TurnTo, Monetate/Syte, and Pixlee — six systems that each know something about the customer but share almost none of it. A customer browses engagement rings three times, reads four reviews, abandons a cart, and comes back via paid search. How would you build the synthesis layer that connects those systems, and what role does AI play as the engine — versus just being another tool in the stack?
• Amazon owns 21% of online jewelry and is actively compounding with Rufus AI, Prime delivery, and network effects. Make the case that a mid-market jeweler like Helzberg can build a defensible AI-powered moat that Amazon structurally cannot replicate — or tell me why that’s impossible and what the alternative strategy should be.

🟥 EMPLOYERS: Post your ecommerce job to thousands of proven ecommerce operators and leaders. Text Harry Joiner at (404) 281-2025 for details.