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Paid Search Specialist
Company: Spoonflower (Shutterfly)
Employment Type: Full-Time
Location: 100% Remote – US (all states except DC, ND, MS, RI, VT, WY)
Compensation: $60,500 – $90,750 (USD, location-based; target starting rate up to $75,000)
Category: Marketing
Close date or Apply by date: Open until filled
WHY THIS ROLE MADE THE CUT
Fully remote (no hybrid or office requirements)
Full-Time role
Job is listed on company site with a direct link to apply
Legitimate, established company
Posted within the last 14 days OR includes a clear deadline to apply
Clear salary range is disclosed
ROLE SNAPSHOT
Spoonflower (part of Shutterfly) is hiring a Paid Search Specialist to support execution and optimization of paid search campaigns across Google, Bing, and Google Merchant Center in a fast-paced ecommerce environment. You'll manage campaign setup and day-to-day execution, collaborate with Creative and Media partners to coordinate testing calendars and product feeds, collect and analyze data across SEM platforms using Adobe Analytics and Looker Studio to provide actionable insights, monitor competitor strategies and industry trends staying current on search engine algorithm changes, assist in troubleshooting feed errors and disapproved ads, and track performance of ad copy, feeds, and landing pages to guide future optimizations. This role requires 3-5 years of paid search execution experience (ecommerce experience a plus), familiarity with Google Ads, Microsoft Ads, Google Merchant Center, Adobe Analytics, and Looker Studio, high attention to detail, analytical curiosity using data to understand patterns, and proactive self-starter mindset with strong collaboration skills.
KEY WORDS TO INCLUDE IN YOUR RESUME/COVER LETTER IF YOU APPLY:
Paid search and SEM execution
Google Ads and Microsoft Ads (Bing)
Google Merchant Center
Adobe Analytics and Looker Studio
Ecommerce experience
Campaign optimization and testing
Performance data analysis
Product feed management
A/B testing coordination
Digital marketing trends
Keywords are suggested based on the language used in the employer's job description to help applicants align with automated screening systems.
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