Media Buying - FB & TT

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

TYPE OF WORK

Any

SALARY

3- 7/ hr + performance

HOURS PER WEEK

50

DATE UPDATED

Aug 9, 2026

JOB OVERVIEW

Meta Media Buyer — Performance Verticals (iGaming / Sweeps / CPI / Auto Insurance)

Location: Remote (GST ±4 hrs overlap preferred) | Type: Full-time contractor | Comp: Base + % of profit (scales with performance)

About Us

Spinbit Media is a Dubai-based performance marketing operation running paid traffic at scale across Meta and TikTok. We work direct with networks and advertisers across iGaming, sweepstakes, rewarded/CPI, and insurance verticals. Small team, fast decisions, no corporate layers — you talk directly to the owner and you own your numbers.

The Role

We're hiring a Meta media buyer who can own campaigns end-to-end without supervision. You get offers, budget, creatives (in-house team), accounts, and tracking infrastructure. You deliver profitable spend. We don't micromanage — and we don't chase people who need chasing.

What You'll Do
Launch, manage, and scale Meta campaigns across iGaming, sweeps, CPI/rewarded (e.g. Freecash-style), and auto insurance offers
Own your P&L daily: spend, ROAS, EPC, CPA — you report numbers, not excuses
Structure and run your own testing frameworks (CBO/ABO, creative testing, audience/placement splits) and kill/scale decisively
Brief our creative team on angles, hooks, and iterations based on what your data says
Work within our tracking stack (Everflow, Keitaro, CAPI) — verify your sub-IDs and postbacks fire before scaling, not after
Manage account health across multiple ad accounts/BMs; navigate bans, restrictions, and warm-ups like it's routine (because it is)
Stay compliant-enough: you know how to run gray-adjacent verticals with cloaking/pre-landers where applicable and understand the risk profile
Must-Haves
2+ years buying on Meta with your own P&L responsibility in at least one of our verticals — you'll be asked to prove it (dashboards, stats screenshots, references)
Have personally managed $50k+/month in Meta spend
Deep familiarity with agency accounts, BM structures, spend limits, and account farming/warm-up realities
Fluent with trackers (Keitaro, Everflow, RedTrack, Binom — any), postbacks, and sub-ID hygiene
Self-directed: you see a problem at 11 PM, you fix it at 11 PM. Nobody assigns you tasks
Direct communicator — short daily numbers update, flag problems early, no disappearing acts
Nice-to-Haves
Experience with auto insurance/pay-per-call or lead-gen flows (Ringba, click-to-call)
Sweeps SOI/CC-submit experience in EU/LATAM geos
Russian/CIS market familiarity
Spy tool proficiency (AdHeart, Minea, etc.)
What You Get
Offers with direct caps and bumped payouts — not scraped network leftovers
In-house creative team producing on demand (UGC, statics, video) — you brief, they deliver
Infrastructure handled: accounts, cards, proxies, tracking already built
Profit share with no ceiling — good buyers out-earn their base within 90 days
Zero meetings culture. One daily numbers post. That's it.
How to Apply

Send: (1) verticals + geos you've run, (2) proof of spend/results (redact what you must), (3) your biggest scaling win and how you did it, (4) expected base + split.

Message on WhatsApp: ---------- Applications without proof get skipped.

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0151
Controller Execution Time ( Jobseekers / Job )  0.0705
Total Execution Time  0.1144
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,504,216 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Media-Buying-FB-TT-1705560
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0269 seconds)  (Hide)
0.0004   SELECT *
                                
FROM exrates
                                WHERE rate_name 
= 'USD-PHP' 
0.0019   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1705560
 LIMIT 1 
0.0011   SELECT *
FROM `employers`
WHERE `employer_id` = 935190
 LIMIT 1 
0.0020   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `misc` ON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1705560
AND `misc`.`id` IS NULL 
0.0032   SELECT e.business_name, e.logo, e.website, e.rebill_date, e.date_added member_date, hits, DATEDIFF('2026-10-19',ej.date_added) duration_days, DATEDIFF('2026-10-19',e.rebill_date) duration_rebill, ej.*, e.deactivate FROM employers e, employer_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('2026-10-19',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != 1 AND ej.deleted = 0 AND job_id = '1705560' 
0.0011   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1705560 
0.0032   UPDATE employer_jobs SET hit_counts = '***Aug-09-2026=727***Aug-10-2026=75***Aug-11-2026=30***Aug-12-2026=6***Aug-13-2026=4***Aug-14-2026=6***Aug-15-2026=6***Aug-16-2026=2***Aug-17-2026=4***Aug-18-2026=6***Aug-19-2026=3***Aug-20-2026=1***Aug-21-2026=3***Aug-23-2026=1***Aug-24-2026=1***Aug-25-2026=1***Aug-26-2026=2***Aug-27-2026=1***Aug-28-2026=3***Aug-29-2026=2***Sep-01-2026=2***Sep-03-2026=1***Sep-04-2026=5***Sep-05-2026=4***Sep-06-2026=8***Sep-07-2026=1***Sep-08-2026=1***Sep-09-2026=3***Sep-10-2026=1***Sep-11-2026=4***Sep-12-2026=2***Sep-13-2026=1***Sep-14-2026=1***Sep-15-2026=2***Sep-16-2026=1***Sep-18-2026=1***Sep-21-2026=3***Sep-25-2026=1***Sep-26-2026=1***Sep-28-2026=3***Sep-29-2026=5***Sep-30-2026=1***Oct-01-2026=2***Oct-02-2026=1***Oct-03-2026=2***Oct-04-2026=1***Oct-06-2026=3***Oct-07-2026=2***Oct-08-2026=1***Oct-09-2026=2***Oct-11-2026=3***Oct-12-2026=2***Oct-13-2026=3***Oct-14-2026=4***Oct-15-2026=2***Oct-16-2026=1***Oct-19-2026=1' WHERE job_id= '1705560'  
0.0043   UPDATE employer_jobs SET monthly_hits = '***Aug-2026=860***Sep-2026=52***Oct-2026=30' WHERE job_id= '1705560'  
0.0017   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id = '' AND job_id = '1705560' AND status LIKE 'sent%' ORDER BY id DESC  
0.0013   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1705560 
0.0048   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '935190'
AND `date_added` >= '2022-06-08' 
0.0004   select * from teasers 
0.0014   SELECT * FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)