Amazon SEO / Cataloging Specialist

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

Full Time

SALARY

Up to $1200

HOURS PER WEEK

40

DATE UPDATED

Apr 10, 2026

JOB OVERVIEW

SEO Cataloging Specialist – Amazon Marketing Agency (Remote)

Full-Time | Remote | Competitive Salary + PTO

About Us:

The Amazon Whisperer is a fast-growing, full-service Amazon marketing agency that delivers profitable sales growth for consumer brands. We specialize in Amazon SEO, PPC, listing optimization, and catalog management, and we do it with systems, strategy, and speed. We’re looking for a highly organized and analytical SEO Cataloging Specialist to join our team and help power the backend of our clients’ Amazon success.

The Role:

The SEO Cataloging Specialist plays a critical dual role in our agency, driving traffic through SEO and keeping our clients’ Amazon catalogs healthy and optimized. You’ll be responsible for conducting in-depth keyword research, writing listing copy, updating keyword lists, and harvesting terms from PPC to enhance organic rankings. On the cataloging side, you’ll manage suppressed listings, submit reimbursements, upload images, and resolve backend issues with Amazon Seller Support.

This is a hands-on, detail-oriented role for someone who loves data, knows their way around the Amazon backend, and thrives in a fast-paced, remote environment.

Responsibilities:

- Conduct Amazon SEO research and build keyword strategies using tools like Helium 10, Data Dive, and Jungle Scout
- Update and maintain Master Keyword Lists (MKLs)
- Write Amazon listing copy including titles, bullets, descriptions, and backend search terms
- Harvest high-performing keywords from PPC campaigns to integrate into organic strategy
- Track and report on organic keyword ranking performance
- Troubleshoot suppressed listings, stranded inventory, and other catalog issues
- Submit FBA reimbursement claims and follow up as needed
- Manage catalog backend tasks such as uploading images, scheduling promotions, and opening cases with Amazon Seller Support
- Maintain accurate data in tracking sheets and ensure catalog compliance across accounts

Requirements:

- Minimum 2 years of Amazon experience working in catalog management and SEO optimization
- Proficiency with Helium 10, Data Dive, Jungle Scout, and other keyword tools
- Strong copywriting skills and ability to write SEO-friendly listing content
- Fluent English (both written and spoken)
- Extremely organized, reliable, and comfortable working in a fast paced environment
- Ability to type 55+ words per minute
- Fast and reliable internet connection
- Comfort using Google Sheets, Excel, and AI tools like ChatGPT

Company Culture:

At The Amazon Whisperer, we highly value transparency, communication, and trust. This is not just another job, it’s a place where your ideas are valued, hard work is rewarded, and growth opportunities are everywhere. We’re building a team that operates like a unit. Supportive, proactive, and relentlessly focused on client success. If you’re looking for a long-term remote role where you can grow your skills and career, you’re in the right place.

What You’ll Get:

- Competitive pay
- 13 days PTO (including public holidays)
- 100% remote work
- Room to grow into roles like Project Manager, SEO Lead, and beyond
- A collaborative and growth-minded team environment

Apply today and be part of a company that’s scaling fast and doing things differently in the Amazon space. We’re not looking for average. We’re looking for exceptional.

Submit your application here: ----------

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0008
Controller Execution Time ( Jobseekers / Job )  0.0214
Total Execution Time  0.0227
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,493,064 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Amazon-SEO-Cataloging-Specialist-1602912
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0075 seconds)  (Hide)
0.0004   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0003   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1602912
 LIMIT 1 
0.0003   SELECT *
FROM `employers`
WHERE `employer_id` = 644829
 LIMIT 1 
0.0014   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1602912
AND `misc`.`idIS NULL 
0.0005   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-04-15',ej.date_added) duration_daysDATEDIFF('2026-04-15',e.rebill_date) duration_rebillej.*, e.deactivate FROM employers eemployer_jobs ej WHERE e.employer_id ej.employer_id AND
                                   ((
e.user_level >= '500' AND ej.date_added <= e.rebill_date)
                                   OR 
e.employer_id '' OR (ej.date_approved <> '2000-01-01' and DATEDIFF('2026-04-15',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1602912' 
0.0008   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1602912 
0.0009   UPDATE employer_jobs SET hit_counts '***Mar-16-2026=350***Mar-17-2026=91***Mar-18-2026=38***Mar-19-2026=19***Mar-20-2026=14***Mar-21-2026=5***Mar-22-2026=3***Mar-23-2026=7***Mar-24-2026=9***Mar-25-2026=11***Mar-26-2026=129***Mar-27-2026=86***Mar-28-2026=14***Mar-29-2026=20***Mar-30-2026=27***Mar-31-2026=15***Apr-01-2026=10***Apr-02-2026=11***Apr-03-2026=658***Apr-04-2026=34***Apr-05-2026=22***Apr-06-2026=35***Apr-07-2026=15***Apr-08-2026=9***Apr-09-2026=10***Apr-10-2026=433***Apr-11-2026=57***Apr-14-2026=1***Apr-15-2026=1' WHERE job_id'1602912'  
0.0006   UPDATE employer_jobs SET monthly_hits '***Mar-2026=838***Apr-2026=1295' WHERE job_id'1602912'  
0.0012   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1602912' AND status LIKE 'sent%' ORDER BY id DESC  
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1602912 
0.0004   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '644829'
AND `date_added` >= '2022-06-08' 
0.0002   select from teasers 
0.0002   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)