Email Lifecycle Marketing Specialist (Klaviyo) at Sleepyhead USA
Scottsdale, AZ 85251, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 25

Salary

70000.0

Posted On

16 Aug, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Google Analytics, Shopify, Analytical Skills, E Commerce

Industry

Marketing/Advertising/Sales

Description

About Sleepyhead Sleepyhead is redefining college comfort with premium mattress toppers designed for dorm life and beyond. Founded by a student, for students, our products are CertiPUR-US® certified, made in the USA, and built to turn any bed into the best bed. Ranked #5 in Arizona and #5 in retail on the Inc. 5000 list, we’re one of the fastest-growing private companies in America and we’re just getting started.
The RoleWe’re seeking an experienced Lifecycle Marketing Specialist to own our email and SMS strategy from start to finish. This in-office position (Mon–Fri) is based at our HQ in Old Town Scottsdale and requires a minimum of 5 years’ experience in lifecycle marketing, ideally in DTC e-commerce. You’ll lead strategy, execution, and optimization to drive retention, engagement, and revenue.

REQUIREMENTS

  • 5+ years in lifecycle/email marketing, with strong Klaviyo expertise.
  • Proven track record in e-commerce.
  • Strong copywriting and analytical skills.
  • Experience with Shopify and Google Analytics preferred.
  • Local to Phoenix metro area; able to work in-office in Old Town Scottsdale Mon–Fri.
Responsibilities
  • Develop and manage automated email flows and campaigns in Klaviyo (welcome, cart abandonment, post-purchase, win-back, etc.).
  • Plan and execute SMS campaigns through Klaviyo and Attentive, optimizing for engagement and compliance.
  • Create segmentation strategies to personalize customer journeys.
  • Write, edit, and oversee creative in Sleepyhead’s voice; collaborate with designers on visuals.
  • A/B test subject lines, content, layouts, and send times.
  • Track, report, and analyze campaign performance; make data-driven optimizations.
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