Amazon Account Specialist

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

TYPE OF WORK

Full Time

SALARY

Hourly: $5.00 to $9.00 per hour (DOE)

HOURS PER WEEK

40

DATE UPDATED

Apr 10, 2026

JOB OVERVIEW

Join Leap Stores and Become a Key Player at a Growing Amazon Marketing Agency!

Leap Stores is dedicated to helping brands WIN on Amazon. We are a top 1% Amazon Seller and we utilize our listing optimization expertise, creative listing visuals, and proprietary software to skyrocket their sales. Our team is growing and we're looking for a dynamic, data-savvy, and skilled Amazon Account Specialist to jump on board! You will make a big impact as a critical supportive tea ---------- mber to our Brand Manager as you ensure our Amazon listings are optimized and growing.

What You'll Do as an Amazon Account Specialist:

- Own day-to-day catalog operations, including listing creation, variation setup, flat file uploads, and backend troubleshooting
- Monitor Buy Box performance and top ASIN health to ensure revenue stability
- Open, manage, and resolve Seller Central cases, compliance issues, and appeals efficiently
- Conduct routine listing audits to maintain policy compliance and prevent account risk
- Collaborate with the design team to improve creative assets and optimize listings for higher conversion rates
- Launch and manage A/B tests and listing experiments to drive measurable performance improvements
- Manage promotional tools including Virtual Bundles, Lightning Deals, Coupons, and other growth levers
- Monitor returns, A-to-Z claims, chargebacks, customer messages, and seller feedback to protect account health
- Perform keyword research using Brand Analytics and third-party tools to improve ranking and discoverability
- Analyze competitors and identify listing optimization opportunities

What does Success Look Like?

- On-Time Delivery: Complete 90%+ of assigned tasks on or before the agreed-upon due date
- Quality of Work: Maintains under 2% error rate on accuracy, keyword usage, and compliance checks
- Drive conversion rate growth on top listings

What Makes You a Perfect Fit:

- 3+ years of experience with Amazon account management, with a track record of improving metrics like CVR and CTR
- Deep expertise with Amazon Seller Central and Amazon Terms of Service
- Basic-level & understanding of Amazon SEO strategies
- Proactive communicator and a get-it-done attitude
- An analytical mindset and ability to work with data (Microsoft Excel, Pivot Tables, Formulas)
- Proficiency in tools such as Jungle Scout, Keepa, DataDive, Helium 10, Data Rova, Smart Scout
- A self-starter with a detail-oriented approach, ready to take on challenges in a fast-paced environment
- Ability to work 7am-4pm EST, Monday-Friday.

Why Join Leap Stores?

- A culture that values creativity and data-driven results
- Generous Paid Vacation Time and standard Holiday Pay to enjoy work-life balance
- Opportunities for professional growth in a rapidly expanding company
- A competitive salary package, reflective of your contributions
- Trainings and personal development opportunities
- Work from home

How do I apply?

To formally apply for this position, please send a copy of your resume to ---------- and use the subject "Your Next Amazon Account Specialist" (don't forget this step).

As an Amazon Account Specialist with Leap Stores, you’ll join a high-performing team focused on execution, accountability, and results. Your expertise will directly impact our brand partners’ growth on the world’s largest e-commerce platform. If you’re ready to take ownership, solve complex challenges, and contribute to a team that’s continuously pushing performance forward, we’d love to connect. Apply today, and let's grow together!

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0007
Controller Execution Time ( Jobseekers / Job )  0.0157
Total Execution Time  0.0170
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,501,120 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Amazon-Account-Specialist-1610508
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0091 seconds)  (Hide)
0.0005   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0006   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1610508
 LIMIT 1 
0.0004   SELECT *
FROM `employers`
WHERE `employer_id` = 882079
 LIMIT 1 
0.0010   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1610508
AND `misc`.`idIS NULL 
0.0005   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-04-13',ej.date_added) duration_daysDATEDIFF('2026-04-13',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('2026-04-13',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1610508' 
0.0009   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1610508 
0.0009   UPDATE employer_jobs SET hit_counts '***Mar-25-2026=344***Mar-26-2026=228***Mar-27-2026=68***Mar-28-2026=25***Mar-29-2026=15***Mar-30-2026=23***Mar-31-2026=16***Apr-01-2026=13***Apr-02-2026=18***Apr-03-2026=7***Apr-05-2026=2***Apr-06-2026=3***Apr-07-2026=4***Apr-08-2026=2***Apr-10-2026=267***Apr-11-2026=207***Apr-12-2026=1***Apr-13-2026=1' WHERE job_id'1610508'  
0.0008   UPDATE employer_jobs SET monthly_hits '***Mar-2026=719***Apr-2026=525' WHERE job_id'1610508'  
0.0013   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1610508' 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` = 1610508 
0.0013   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '882079'
AND `date_added` >= '2022-06-08' 
0.0003   select from teasers 
0.0002   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)