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Менеджеры маркетплейсов | Вакансии

@MPmanagers

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

22,290subscribers

+246 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001718248552
TypeChannel
Username@MPmanagers
Description🔥 Ежедневная публикация свежих вакансий, а так же резюме от опытных специалистов. • Купить рекламу: https://t.me/+iVfQ8Iyk8Kg0ZTE6 • Бот с вакансиями - @LeadMagnet_MP_bot • Разместить резюме - @MPdesigns_bot • Админ - @Art_666999
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/MPmanagers

Topic

Job listings — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 97% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@MPmanagers/15404 · this entry4 Aug 2026, 13:35 UTC@Jobs_MP/45164 Aug 2026, 13:35 UTC1.00under a minute
@Jobs_MP/45174 Aug 2026, 14:10 UTC@MPmanagers/15409 · this entry4 Aug 2026, 16:38 UTC1.002.5 hours
@Jobs_MP/45205 Aug 2026, 17:19 UTC@MPmanagers/15417 · this entry7 Aug 2026, 09:03 UTC1.0040 hours
@MPmanagers/15405 · this entry4 Aug 2026, 13:35 UTC@Jobs_MP/45216 Aug 2026, 05:39 UTC1.0040 hours
@MPmanagers/15420 · this entry7 Aug 2026, 13:10 UTC@Jobs_MP/45267 Aug 2026, 15:10 UTC1.002.0 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Jobs_MP5 (5/5 hand-verifiable sample passed)1.002.2 hoursthis entry (3–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 1 of the 2 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 22 comparable posts for this entry, running 3 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @MPmanagers — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

22,01322,30022,156.57 August 2026 — 22,044 subscribers7 August 2026 — 22,043 subscribers8 August 2026 — 22,050 subscribers9 August 2026 — 22,037 subscribers10 August 2026 — 22,035 subscribers11 August 2026 — 22,034 subscribers12 August 2026 — 22,030 subscribers14 August 2026 — 22,023 subscribers15 August 2026 — 22,019 subscribers17 August 2026 — 22,013 subscribers18 August 2026 — 22,023 subscribers20 August 2026 — 22,220 subscribers21 August 2026 — 22,234 subscribers23 August 2026 — 22,235 subscribers24 August 2026 — 22,231 subscribers25 August 2026 — 22,222 subscribers26 August 2026 — 22,198 subscribers27 August 2026 — 22,194 subscribers28 August 2026 — 22,190 subscribers29 August 2026 — 22,186 subscribers30 August 2026 — 22,178 subscribers31 August 2026 — 22,174 subscribers1 September 2026 — 22,153 subscribers2 September 2026 — 22,137 subscribers3 September 2026 — 22,135 subscribers5 September 2026 — 22,127 subscribers9 September 2026 — 22,136 subscribers11 September 2026 — 22,300 subscribers13 September 2026 — 22,298 subscribers15 September 2026 — 22,280 subscribers17 September 2026 — 22,273 subscribers25 September 2026 — 22,290 subscribers22,2907 August 202625 September 2026
32 measurements spanning 49 days, net +246. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 21,970–22,343 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
25 Sept 2026, 07:0022,290+17
17 Sept 2026, 09:3922,273-7
15 Sept 2026, 05:5522,280-18
13 Sept 2026, 14:4022,298-2
11 Sept 2026, 20:4122,300+164
9 Sept 2026, 06:3822,136+9
5 Sept 2026, 23:5722,127-8
3 Sept 2026, 18:1522,135-2
2 Sept 2026, 10:0422,137-16
1 Sept 2026, 10:3722,153-21
31 Aug 2026, 10:5722,174-4
30 Aug 2026, 13:5322,178-8
29 Aug 2026, 16:3422,186-4
28 Aug 2026, 19:2422,190-4
27 Aug 2026, 16:0422,194-4
26 Aug 2026, 19:3422,198-24
25 Aug 2026, 21:5422,222-9
24 Aug 2026, 19:1422,231-4
23 Aug 2026, 00:4622,235+1
21 Aug 2026, 11:1722,234first reading

Engagement

143 posts held, back to 3 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 61 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.99%
avg views ÷ 22,290 subscribers
Avg views / post
443
36 posts measured
Reaction rate
0.229%
reactions ÷ views · ER floor
Posts in window
40
of 143 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 12 of 36 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 26 September 2026
Posts held143 (3 August 2026 – 26 September 2026)
Views total15,962
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 02:57 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
≈3,850
Videos
≈4
Links
≈3,850

Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

53 reactions across 36 posts, in 5 distinct kinds. The most used accounts for 45.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2445.3%
🔥1120.8%
👍815.1%
👎611.3%
❤‍🔥47.55%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 45 of the 143 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 53 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 143 most recent posts we hold, published 3 August 2026 to 26 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

26 Sept 2026, 12:52 UTC215 viewsread 27 September 2026

Здравствуйте! Меня зовут Юлия. Я - менеджер OZON и Wildberries. Опыт работы - 4 года. Буду рада помочь и отвечу на ваши вопросы. Главная задача - не увеличить оборот любой ценой, а сделать магазин стабильно прибыльным. Вместе, мы сделаем ваш бизнес успешнее. Мои услуги: 🟣 Заведение личного кабинета поставщика с 0 🟣 Создание карточек товара 🟣 SEO оптимизация 🟣 Расчет юнит-экономики 🟣 Создание поставки и расчет потреб…

26 Sept 2026, 10:41 UTCviews —

Менеджеры маркетплейсов | Вакансии pinned «#менеджер Знак зодиака ♒️ Работаю с WB больше года Со мной мой #селлер забудет про рутину, а именно •про ведение кабинета Wildberries. · Расчет unit-экономики, анализ конкурентов и выбор ниши. · Аудит карточек, консультация и помощь в выборе товара. · Оценка…»

26 Sept 2026, 10:40 UTC227 views0 reactionsread 27 September 2026

#менеджер Знак зодиака ♒️ Работаю с WB больше года Со мной мой #селлер забудет про рутину, а именно •про ведение кабинета Wildberries. · Расчет unit-экономики, анализ конкурентов и выбор ниши. · Аудит карточек, консультация и помощь в выборе товара. · Оценка результата по цифрам (CTR, ДРР, воронка продаж). · SEO-настройка и оптимизация, продвижение товаров. · Работа с CTR и визуалом, составление ТЗ для дизайнера (и…

26 Sept 2026, 08:05 UTC271 viewsread 27 September 2026
Photo

#селлер Николь Контактные данные: Телеграм: @wunder_shop 🕹Маркетплейс: WILDBERRIES 📎 Категории товаров: Аксессуары 💰Выручка магазина в месяц: 800 000 ▪️Какого менеджера ищу - опыт работы от 6 мес - знание как работать и влиять на ДРР, стр и конверсии - уметь ставить задачи и выполнять их - соблюдать дедлайны (при их наличии) ➖➖➖➖➖➖➖➖➖➖ Как выявить мошенника 👉 Читать Больше заказов тут 👉 @LeadMagnet_MP_bot

25 Sept 2026, 10:27 UTC400 viewsread 27 September 2026

#менеджер Имя: Екатерина 🛒 Маркетплейс: WILDBERRIES 📂 Категории товаров: Работаю практически со всеми нишами: одежда, товарка, электроника и другие товары. 💼 Успехи: Результаты лучше говорят за меня. Кейсы и примеры моей работы - в Telegram-канале: @andreevacattarget 🔧 Навыки: 📍4+ лет работаю с рекламой на WB 📍Анализирую рекламу и воронку продаж 📍Выдвигаю и тестирую гипотезы 📍Работаю с CTR и визуалом 📍Оптимизирую и м…

24 Sept 2026, 17:04 UTC482 viewsread 27 September 2026
Photo

Мы собрали подборку каналов для фрилансеров 😉 Удобно, когда все, что может быть полезно, находится в одной папке! Добавить папку можно по ссылке, не упусти возможность, ссылка доступна только 24 часа 👇 https://t.me/addlist/ItYA9_Bfa4A1ZDg0

24 Sept 2026, 10:22 UTC508 views1 reactionsread 27 September 2026
Photo

Сафонова Анна. Менеджер‑аналитик Wildberries, Ozon, Яндекс.Маркет👩🏻‍💻 Опыт работы-3,5года. Занимаюсь полным ведением кабинета: продвижением, повышением продаж и маржи через аналитику, оптимизацирую карточки, работаю с рекламным кабинетом. Помогу перейти с WB на другие маркетплейсы ✅ 👩‍🏫Также провожу обучение селлеров/менеджеров с практикой в действующем кабинете. 💼С резюме можно ознакомиться здесь: https://t.me/+K2…

❤1

24 Sept 2026, 09:35 UTC439 viewsread 27 September 2026
Photo

👋 Я Марина. Менеджер-аналитик wildberries, Ozon. 🏢 Возьму 1 компанию/магазин на ведение. 💻 Более 4-х лет опыта - одежда, мед.техника, автотовары, товары для дома, ювелирные украшения, продукты, мебель. Более 30 бизнесам помогла увеличить прибыль от работы на маркетплейсах. 💸 Лучший результат от 0 до 4,5 млн.р. за 2 месяца. 👀Создпю ИИ агентов. 📋 Провожу личные консультации. 📩 Пишите в личку. @temari_artsea

24 Sept 2026, 07:08 UTC423 viewsread 27 September 2026

Комиссии выросли. Маржа сгорела. Ты сидишь и думаешь: «И что, всё?» Было 25%. Стало 8%. Ты пересчитал три раза — цифра та же. Вот что я тебе скажу, без красивых слов: магазин спасает не реклама. Магазин спасает товар. Один. Правильно подобранный. Он может вытянуть всю экономику, перекрыть комиссии и вернуть тебе смысл этим заниматься. А может убить окончательно — если Маржа не перекрывает расходы. Я не гадаю. Я с…

24 Sept 2026, 06:17 UTC431 viewsread 27 September 2026
Photo

Комиссии выросли. Маржа сгорела. Ты сидишь и думаешь: «И что, всё?» Было 25%. Стало 8%. Ты пересчитал три раза — цифра та же. Вот что я тебе скажу, без красивых слов: магазин спасает не реклама. Магазин спасает товар. Один. Правильно подобранный. Он может вытянуть всю экономику, перекрыть комиссии и вернуть тебе смысл этим заниматься. А может убить окончательно — если Маржа не перекрывает расходы. Я не гадаю. Я с…

23 Sept 2026, 17:13 UTC490 views2 reactionsread 27 September 2026
Photo

#селлер Ирина Контактные данные: Телеграм: @dudina_i_a 🕹Маркетплейс: Ozon 📎 Категории товаров: Инструменты, бытовая техника 💰Выручка магазина в месяц: 180 000 000 ▪️Какого менеджера ищу • Опыт работы менеджером на ОЗОН, с кабинетом с оборотом от 50 млн в мес. • Умение анализировать данные и принимать решения на основе аналитики. • Хорошие коммуникативные навыки. • Внимание к деталям и способность работать в ре…

❤2

Showing the 12 most recent of 143 posts we hold for @MPmanagers. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts edited after publishing

@MPmanagers edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
27 August 2026
Most recent edit
27 August 2026

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Селлеры и Менеджеры, Инфографика, Вакансии и резюме WB OZON YM
@sellerman · 58,664
#1
Вакансии на маркетплейсах
@Jobs_MP · 12,114
#2
Наталья Малиновская про Wildberries 🔥
@tinder_kc · 4,829
#3
Работа на маркетплейсах. Вакансии менеджера маркетплейса
@workmarketplaces · 10,520
#4
Вакансии для менеджеров маркетплейса | Удаленная работа Wildberries Ozon
@jobs_marketplace · 8,350
#5
WB Партнёры
@wbsellerofficial · 181,939
#6
Вакансии менеджера WB|OZON🔥
@vacancyWB · 9,091
#7
Инфографика | Продвижение | Маркетплейсы
@MPdesigns · 30,916
#8
Работа на маркетплейсах
@marketplacejob · 14,259
#9
Вакансии и Резюме менеджеры маркетплейсов
@menedgermarketpleisov · 15,322
#10
☀️Семья на Маркетплейсах
@sellermp · 47,301
#11
Иван Куриленко (Акулы Wildberries и Ozon)
@wbsharks · 73,779
#12
Max EVIRMA / Продвижение на Wildberries / LET`S ROCK on WB
@maxprowb · 101,148
#13
Вячеслав Малых
@seotrener1 · 27,872
#14
Аналитик на миллиард | Wildberries
@wbbillion · 22,359
#15
О маркетплейсах для начинающих. Склад13.
@mpreklama · 5,145
#16
SEOREMICA 💎 Павел Михайлов
@seoremica_ru · 23,322
#17
Основатель mkeeper
@mkeeper · 21,912
#18
Андрей: Про маркетплейс Wildberries, OZON и не только
@andrey_pro_business · 26,657
#19
Новак Павел wb и ozon
@novak_WB · 24,464
#20
Elena Gyreeva | AI Креатив
@elena_gyreeva_ai · 883
#21
Василий MarketPapa
@marketpapa_channel · 28,005
#22
Владлен Строкань | Основатель Wildbox
@vladlen_strokan · 58,319
#23
Внешняя реклама | Контент завод с Олесей
@prodvizgenie_wb · 7,518
#24
Дарья Лаиш PRO маркетплейсы
@dashaprowildberries · 3,887
#25
MPGO
@mpgo_ru · 81,388
#26
Менеджер WILDBERRIES | ДАРЬЯ
@raskaz_managerWB · 362 (as read 21 September 2026)
#27
Найм по любви-Recruit Place❤️
@recruit_place · 2,098
#28
💰MarketGuru | Секреты Wildberries
@marketguruclub · 39,883
#29
Тимур Товарка | WB и OZON
@nadiradze_t · 9,340
#30
Николай | Отец 5-х | Селлер WB, Ozon | Оцифровка MPfact
@smenik_mp · 6,679
#31
Мария MarketPlaceStep WB OZON маркетинг
@marketplacestep · 6,898
#32
Wbradar.ru сервис управления рекламы на wildberries
@wbradarbidder · 5,013
#33
Ирина Агафонова / Деньги на Китае
@irina_agafonova_ved · 14,324
#34
Рыжий М.
@redman · 102,239
#35
Хогвартс маркетплейсов
@marketplace_hogwarts · 59,002
#36
Found&Craft | эффективный найм для селлеров
@found_sm · 1,504
#37
За кейс | Фриланс вакансии
@For_case · 11,110
#38
ВАКАНСИИ ДЛЯ МЕНЕДЖЕРОВ ПО ПРОДАЖАМ
@freelance_joob · 14,202
#39
Мастерская копирайта | Вакансии
@Copywriters_Job · 10,586
#40
IT jobs | Вакансии в ИТ
@Jobs_for_IT · 6,391
#41
Wildbox.News
@wildbox_news · 87,145
#42
Designs squad | Дизайн вакансии
@Designs_squad · 10,914
#43
РАБОТА ИЗ ДОМА | ВАКАНСИИ
@rabota_is_doma_vakansii · 18,960
#44
Уголок дизайнера | Вакансии
@Designs_job · 35,759
#45
СЁРЧЕР | ВАКАНСИИ | УДАЛЕНКА
@searcher_freelance · 7,029
#46
Сергей WBway
@wbway2 · 11,149
#47
ВАКАНСИИ ДЛЯ ДИЗАЙНЕРОВ МОСКВА
@vakansii_dizaynerov · 18,514
#48
VibeVO | Видеоклиппинг и реклама в коротких видео
@vibevo_io_ru · 8,289
#49
Татьяна Ким
@kimtatyana2024 · 89,644
#50
СОВА на ФРИЛАНСЕ
@sova_freelance · 35,329
#51
⚡️Поставлено! Логистика на WB и OZON
@postavleno · 26,865
#52
Диана: ИИ для бизнеса на МП
@Diana_Pro_Wildberries · 7,790
#53
Your Career | Твоя карьера
@yourcareerchannel · 4,484
#54
АВИТО ПРОДВИГАТОР
@prodviggator · 7,251
#55
ВАКАНСИИ SMM РИЛСМЕЙКЕРЫ МОСКВА
@smm_vakansiii · 18,249
#56
REMOTER @ вакансии на удаленке
@TRemoters · 28,306
#57
Съёмки и модели | Москва | Питер
@MPphotographer · 5,257
#58
Работа в комфорте🧘‍♀
@frilancekomfort · 39,781
#59
Кейсы по внешней рекламе на WB
@vneshkastats · 2,617
#60
SMM / Contentmakers hunter freelancers
@smmfreelancer · 20,892
#61
Баландин Никита
@vsegdaprosto · 13,253
#62
Бабки на Юбках💲
@robo_wb · 10,364
#63
🏄🏼 Таверна СММ | РАБОТА | ВАКАНСИИ
@vakansii_smm · 10,608
#64
Финансы WB – Виноградов Алексей
@wbfinance · 7,964
#65
Вб на прокачку | Максим Емельянов
@silavomne · 11,535
#66
Анжела | про бренд и маркетинг
@anzhelawb · 4,401
#67
Бизнес в корзине
@business_in_cart · 3,970
#68
Таргет | Арбитраж | Вакансии
@Traffic_jobs · 10,194
#69
Удалёнка для всех
@worksvsem · 28,804
#70
Копирайтер на фрилансе? Заходи!
@freelanceeboom · 17,860
#71
GetClient | Фриланс вакансии
@GetClient · 44,104
#72
Python jobs | Вакансии в IT
@Python_Jbs · 7,157
#73
Vasilisa.ai — Ваша команда ИИ
@aiVasilisa · 1,215
#74
Дизайнер? Есть работа!
@workfordesigner · 24,772
#75

Read from Telegram’s recommendation API, most recently 21 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Селлеры и Менеджеры, Инфографика, Вакансии и резюме WB OZON YM
@sellerman · 58,664
Telegram ranks this channel #10 of 77 here — alongside 76 others — read 22 August 2026
Инфографика | Продвижение | Маркетплейсы
@MPdesigns · 30,916
Telegram ranks this channel #19 of 81 here — alongside 80 others — read 7 September 2026
Вакансии Workzilla — Удаленная работа | Фриланс
@workzilla_vacancies · 27,536
Telegram ranks this channel #54 of 81 here — alongside 80 others — read 11 September 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 25 September 2026 — this entry's latest reading, not the date you are reading this.

“Менеджеры маркетплейсов | Вакансии” (@MPmanagers), 22,290 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/MPmanagers.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.