Amazon PPC Advertising Specialist

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

TYPE OF WORK

Part Time

SALARY

6/hour

HOURS PER WEEK

20

DATE UPDATED

Aug 17, 2026

JOB OVERVIEW

We are looking for an experienced Amazon PPC Advertising Specialist who understands how to take established brands with proven success on Shopify/DTC and successfully launch and scale them on Amazon.

This role requires more than simply managing existing campaigns. Many of the brands you will work with are established businesses but are new or relatively new to Amazon. These accounts require close attention, frequent optimization, and careful campaign development during the early stages.

What You'll Be Responsible For
Build Amazon PPC campaign structures for new and growing Amazon accounts
Develop launch strategies for brands with established Shopify/DTC sales
Perform keyword and competitor research before and during launches
Build and manage Sponsored Products, Sponsored Brands, and Sponsored Display campaigns
Manage Exact, Phrase, Broad, Broad+, product targeting, and category targeting appropriately
Closely monitor new campaigns and make frequent bid and budget adjustments
Analyze search term reports and continually develop keyword targeting
Move converting search terms into more controlled campaign structures
Manage branded, non-branded, competitor, and product-targeting strategies
Scale advertising while monitoring ACOS, TACOS, ROAS, conversion rate, CPC, and overall sales
Identify when campaigns need more budget versus when spend needs to be controlled
Work closely with inventory levels so advertising does not create unnecessary stock issues
Identify listing or conversion problems that are preventing PPC from scaling
Provide clear reporting on performance, opportunities, problems, and next steps
What We're Looking For

You should have hands-on experience managing Amazon PPC accounts and understand that launching an established Shopify brand on Amazon requires a different approach than simply taking over a mature Amazon account.

We're looking for someone who understands how to:

Build an account correctly from the beginning
Generate initial traffic and sales without wasting spend
Develop search-term data and identify winning keywords
Protect branded traffic
Target competitor brands correctly
Scale winning campaigns
Control wasted spend
Balance ACOS and TACOS with overall growth
Recognize when PPC is not the problem and the listing, pricing, reviews, inventory, or offer needs attention

Attention to detail is extremely important. New accounts need close grooming and care. We do not want someone who launches campaigns and checks them once a week. You should be comfortable actively monitoring performance, identifying issues quickly, and making adjustments as the account develops.

Amazon PPC Knowledge Required

You should have a strong understanding of:

Sponsored Products
Sponsored Brands
Sponsored Display
Keyword targeting
Product/ASIN targeting
Broad, Broad+, Phrase, and Exact match types
Branded vs. non-branded campaign strategy
Competitor conquesting
Search term harvesting
Negative keywords/targets
Bid optimization
Placement adjustments
Budget management
ACOS and TACOS
Campaign scaling
New-product launches
Ideal Candidate

The ideal person is analytical but also proactive. We don't want someone who simply follows an automated optimization routine.

You should be able to look at an account and explain:

What's working? What's not working? Why? What should we change? Where should we spend more? Where should we pull back? And what needs to happen next to scale the brand?

Experience helping established Shopify/DTC brands expand onto Amazon is highly preferred.

When Applying

Please include:

How many years you have managed Amazon PPC.
Examples of Amazon accounts or brands you have helped launch or scale.
Typical monthly advertising spend you have managed.
Your approach to launching PPC for an established Shopify brand that is new to Amazon.
How you use Broad, Broad+, Phrase, and Exact differently.
How you approach branded and competitor-brand targeting.
How often you review and optimize a newly launched Amazon account.
An example of an account where you successfully scaled sales while managing TACOS/ACOS.

Optional Video Introduction

You are also welcome to include a short video introduction with your application. This is optional, but encouraged.

In the video, briefly introduce yourself and tell us about your Amazon PPC experience, the types of accounts you have managed, and your experience launching or scaling brands on Amazon.

This does not need to be professionally produced. A simple, short introduction is perfectly fine and gives us an opportunity to learn more about you and your experience beyond the written application.

Please provide specific answers. Generic or AI-generated PPC responses without examples of actual Amazon advertising experience will not be considered.

Position will begin as part time but can easily become a full time position once proven.

walmart experience nice to have! could be some potential walmart ad opportunity in addition to amazon

SKILL REQUIREMENT
VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0015
Controller Execution Time ( Jobseekers / Job )  0.0197
Total Execution Time  0.0222
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,510,088 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Amazon-PPC-Advertising-Specialist-1710922
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0083 seconds)  (Hide)
0.0006   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0006   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1710922
 LIMIT 1 
0.0006   SELECT *
FROM `employers`
WHERE `employer_id` = 889467
 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` = 1710922
AND `misc`.`idIS NULL 
0.0013   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-09-10',ej.date_added) duration_daysDATEDIFF('2026-09-10',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('2026-09-10',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1710922' 
0.0004   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1710922 
0.0009   UPDATE employer_jobs SET hit_counts '***Aug-17-2026=512***Aug-18-2026=159***Aug-19-2026=125***Aug-20-2026=65***Aug-21-2026=44***Aug-22-2026=18***Aug-23-2026=15***Aug-24-2026=30***Aug-25-2026=11***Aug-26-2026=14***Aug-27-2026=8***Aug-28-2026=7***Aug-29-2026=9***Aug-30-2026=2***Aug-31-2026=6***Sep-01-2026=8***Sep-02-2026=5***Sep-03-2026=5***Sep-04-2026=5***Sep-05-2026=2***Sep-10-2026=1' WHERE job_id'1710922'  
0.0007   UPDATE employer_jobs SET monthly_hits '***Aug-2026=1025***Sep-2026=26' WHERE job_id'1710922'  
0.0004   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1710922' 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` = 1710922 
0.0005   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '889467'
AND `date_added` >= '2022-06-08' 
0.0007   select from teasers 
0.0005   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)