Digital Marketing Manager

Job Category: Sales and Marketing
Job Location: AL Pelham United States
Company Name: Gabriella White

Job Overview

Imagine leading digital campaigns that inspire customers to style their dream spaces. As our Digital Marketing Manager, you’ll craft engaging digital experiences that connect with audiences, build brand love, and drive measurable results across retail, trade, and contract channels.

Who We Are

Since 1987, Gabriella White has been family-owned and operated, bringing together three growing brands: Gabby, Summer Classics, and Wendy Jane. We design and manufacture luxury furniture that inspires everyday living. Guided by our values — Dedication, Enthusiasm, Synergy, Integrity, Goal-Oriented, Nimble (DESIGN) — we’re passionate about furnishing life’s best moments.

Why You’ll Love Working Here

✦ Comprehensive health, dental & vision insurance
✦ 401(k) match and financial wellness support
✦ Paid vacation, holidays, and parental time
✦ Employee product discounts (style your own home at a discount)
✦ Well-being programs: EAP, chaplain services, and more

Your Impact

Email & CRM – Build campaigns that reach the right audience at the right time and track performance.
Social Media – Manage brand voice across Instagram, Facebook, Pinterest, and LinkedIn with share-worthy content.
Content Storytelling – Align blogs, website content, and product stories with seasonal launches and brand voice.
Analytics – Use data-driven insights and A/B testing to improve results.
Innovation – Launch our SMS marketing program and explore new digital channels.
Partnerships – Collaborate with influencers, designers, and internal teams to expand reach.

What You’ll Bring

  • Degree in marketing, communications, or digital media (preferred)
  • Proven experience running digital campaigns, ideally in luxury, home décor, or furniture
  • Strong copywriting skills across multiple audiences
  • Proficiency in digital tools: CRM, email, SEO, analytics
  • Curiosity, creativity, and collaboration — comfortable in both data and design

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