Shopify Operations & Retention Specialist (DTC)

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

TYPE OF WORK

Full Time

SALARY

$2,000/month

HOURS PER WEEK

40

DATE UPDATED

Jul 23, 2026

JOB OVERVIEW

To apply for the position please use the following link: popon.forms.app/appforemployment

ABOUT POP ON VENEERS
Pop On Veneers is one of the fastest-growing direct-to-consumer (DTC) smile brands in the United States. We help thousands of customers smile with confidence through custom-made cosmetic veneers and innovative oral care products.

Role Level & Focus
This is an execution-focused role designed for an experienced e-commerce specialist.
- Operational Focus: This is a hands-on operations and marketing position, not an administrative assistant role.
- No Coding Required: Your focus will be on front-end visual building and app management.
- System Knowledge: You should feel highly comfortable navigating Shopify's visual editors and managing app configurations independently.

REQUIRED TECH STACK (3+ Years Daily Experience)
You must have deep, verifiable, and advanced experience managing and configuring:
- Shopify Admin (Product setups, page building, theme customizers)
- Klaviyo (Advanced flow architecture, behavioral segmentation, deliverability QA)
- Recharge (Subscription rules, customer portals, churn-mitigation logic)
- Rebuy (Smart carts, personalized cross-sells, post-purchase offer funnels)
- Intelligems (A/B pricing tests, shipping rate optimization, offer testing)

WHAT YOU’LL DO
- Store Optimization & CRO: Design, build, and launch high-converting landing pages and product pages inside Shopify using visual page builders.
- Upsells & Subscription Rules: Manage and optimize Recharge and Rebuy (smart carts, cross-sells, post-purchase offers) to aggressively drive up AOV and customer LTV.
- Retention & Email Marketing: Build, QA, and launch automated flows and targeted campaigns in Klaviyo. Own the results of email revenue metrics, deliverability, and open rates.
- Store Auditing & Troubleshooting: Act as our first line of defense. Audit the live store daily to catch and immediately resolve bugs, broken discount codes, or app integration issues.
- Analytics Reporting: Regularly track and report on crucial metrics: Shopify Conversion Rate, AOV, Subscription Churn, and Email Revenue Attribution.

WHAT WE ARE LOOKING FOR
- Proven Tech Mastery: Direct, advanced control over our specified tech stack. You understand how these apps pass data to each other.
- Direct-Response Savvy: A solid understanding of conversion rate optimization (CRO), landing page hooks, and consumer psychology.
- Meticulous Eye for Detail: You spot layout and tracking errors instantly.
- Proactive Attitude: You don’t wait to be told what to do—you actively find leaks in the checkout funnel and fix them.

To apply for the position please use the following link: popon.forms.app/appforemployment

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0010
Controller Execution Time ( Jobseekers / Job )  0.0285
Total Execution Time  0.0303
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,519,136 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Shopify-Operations-Retention-Specialist-DTC-1690517
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0217 seconds)  (Hide)
0.0003   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0004   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1690517
 LIMIT 1 
0.0014   SELECT *
FROM `employers`
WHERE `employer_id` = 625785
 LIMIT 1 
0.0008   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1690517
AND `misc`.`idIS NULL 
0.0005   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-09-01',ej.date_added) duration_daysDATEDIFF('2026-09-01',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('2026-09-01',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1690517' 
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1690517 
0.0011   UPDATE employer_jobs SET hit_counts '***Jul-16-2026=813***Jul-17-2026=61***Jul-18-2026=21***Jul-19-2026=7***Jul-20-2026=14***Jul-21-2026=9***Jul-22-2026=4***Jul-23-2026=155***Jul-24-2026=44***Jul-25-2026=19***Jul-26-2026=25***Jul-27-2026=15***Jul-28-2026=26***Jul-29-2026=6***Jul-30-2026=6***Jul-31-2026=5***Aug-01-2026=11***Aug-02-2026=9***Aug-03-2026=9***Aug-04-2026=10***Aug-05-2026=17***Aug-06-2026=1***Aug-07-2026=10***Aug-08-2026=5***Aug-09-2026=6***Aug-10-2026=9***Aug-11-2026=6***Aug-12-2026=11***Aug-13-2026=3***Aug-14-2026=11***Aug-15-2026=6***Aug-16-2026=6***Aug-17-2026=7***Aug-18-2026=6***Aug-19-2026=2***Aug-21-2026=7***Aug-22-2026=7***Aug-24-2026=7***Aug-25-2026=7***Aug-26-2026=4***Aug-27-2026=6***Aug-28-2026=7***Aug-30-2026=1***Sep-01-2026=3' WHERE job_id'1690517'  
0.0006   UPDATE employer_jobs SET monthly_hits '***Jul-2026=1229***Aug-2026=191***Sep-2026=3' WHERE job_id'1690517'  
0.0008   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1690517' 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` = 1690517 
0.0147   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '625785'
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)