r/gtmengineering: rules, karma requirements and posting culture
A young, fast-growing board for people who build outbound and sales data systems, or want to. Tool talk, career questions and hiring posts, with no published rules.
gtmengineering · Open on Reddit
- Members
- 17k
- Created
- 2024
- New posts a day
- 9.6
- Comments on a typical post
- 6
- New posts removed
- 20%
The short answer
r/gtmengineering publishes no karma or account age requirement, and it has no public rules, sidebar or AutoModerator messages. About 78% of posts in our sample stayed up. The rest were removed by Reddit's own filters, and we saw no moderator removals at all. Most posts are text: questions about tools and data, career advice for a job title that is barely two years old, and hiring or for-hire notices. The typical post gets five or six comments, so a specific question does get answered.
Who posts here
A large share of posts come from people trying to get into the role: interview nerves, how to learn the tools for free, whether a sales background is enough. Those get patient answers, though offers to work for almost nothing are told bluntly that they bring nothing to the table. The practitioners talk in shorthand about enrichment waterfalls, ICP filters and inbox placement, and nobody stops to define it.
- Working GTM engineers and outbound operators comparing stacks, data sources and deliverability.
- Sales reps, RevOps people and analysts trying to move into the role.
- Students and juniors looking for a first job or internship, often outside the US.
- Founders and small company owners hiring their first GTM engineer or an agency and asking what to look for.
- Agency owners, recruiters and tool founders, who post openly about what they sell.
Karma and account requirements
What it takes to get a post through in r/gtmengineering.
| Karma | Not stated publicly. There are no published rules or AutoModerator messages. About 20% of posts in our sample were removed by Reddit's own filters. |
|---|---|
| Account age | Not stated publicly. |
| Post flair | Not used. Well under 1% of posts in our sample carried a flair. |
| Post types | Text, link, image and video are all open. About 83% of posts are text and 12% are links. |
| Written rules | None published. There is no sidebar text or submit text to read before posting. |
What you can post
| Post type | Subreddit setting | Share of recent posts |
|---|---|---|
| Text | Allowed | 83% |
| Link | Allowed | 12% |
| Image | Allowed | 4% |
| Video | Allowed | <1% |
| Poll | Allowed | 0% |
Post flairs in use
- Crowdsourcing <1%
What happens to a new post
Where the most recent posts ended up. Sample size: 400.
- Stayed up78%
- Removed by Reddit's filters20%
- Deleted by the author2%
Reddit counts a removal by the subreddit's own AutoModerator rules as a moderator removal, so that share is not all human. Held by AutoModerator means the post is waiting in the mod queue.
What happened when we posted here
We have posted here ourselves. This is how our own posts and comments fared.
- Stayed up
- 99%
- Removed by Reddit's filters
- 1%
- Removed by moderators
- 0%
- Period
- September 2025 to July 2026
The culture
r/gtmengineering was created in late 2024 and has gone from under 5,000 members in 2025 to nearly 17,000. It has around ten new posts a day. The subject is the plumbing behind outbound sales: list building, enrichment, signals, CRM hygiene, email infrastructure, and more and more, AI agents doing parts of it.
The feed has three kinds of post. Practical questions, such as how good the big data providers really are for a narrow target market, or what to use for buying signals. Career posts, from people preparing for a first interview to experienced sales people asking if they can skip a RevOps stint. And a marketplace layer of hiring posts, people offering their time, job roundups and agency introductions.
The live argument is whether the role is real. One of the most discussed posts asks if GTM engineering is a hype wave. Commenters split the job into a technical kind and an outbound automation kind, and warn that without technical skill it will be a short career. The post with the most upvotes is about what separates a low salary from a high one.
What lands
- A direct question about the role's future or its pay gap. These draw the most comments.
- A founder asking what to look for when hiring a first GTM engineer or an agency, with the company size and current tools stated.
- A specific how do you do this question with your stack and the exact step you are stuck on.
- A measured teardown from real work, like logging every call in an enrichment run and reporting what the money bought.
- Requests for unusual data sources or signals, where people can show off what they have built.
What gets removed or ignored
- We saw no moderator removals in our sample, and there are no rules or AutoModerator messages to quote.
- Reddit's own filters removed about one post in five. The subreddit publishes nothing about why.
- Link posts with no body text and repeated identical posts are not removed, but they sit without replies.
The unwritten rules
- Name your tools and your numbers. Answers are tool-specific, and a vague question gets a vague reply or a product plug.
- Expect vendors in your comments. Recommendation threads fill up with people suggesting a product, some of them clearly their own.
- Offering to work for free or nearly free does not go down well. The reply is that you need to bring a skill, not a low price.
- Lower case, casual writing is the norm. Posts that read like a polished thought-leadership piece from another platform get less response than a plain question.
- People are wary of course sellers. Giving something away, like a repo or a guide, is received better than pointing at something paid.
Self-promotion
There is no rule on it, because no rules are published. In practice promotion is common and tolerated: hiring posts, people offering fractional work, job board roundups, tool builders describing what they made, and expert interviews that link to the guest's company all stay up. Comment threads carry a steady stream of product suggestions. What separates the posts that get replies from the ones that do not is whether there is a real question or a real lesson in them. A list of links to tools gets ignored.
How people write here
- Typical post length
- 123 words
- Typical title length
- 9 words
- Titles phrased as a question
- 35%
- Typical comment length
- 30 words
- Comments that include a link
- 4%
- Posts that carry a flair
- 0%
When people post
- 0:00 UTC, 13
- 1:00 UTC, 5
- 2:00 UTC, 5
- 3:00 UTC, 6
- 4:00 UTC, 8
- 5:00 UTC, 17
- 6:00 UTC, 18
- 7:00 UTC, 16
- 8:00 UTC, 14
- 9:00 UTC, 9
- 10:00 UTC, 22
- 11:00 UTC, 25
- 12:00 UTC, 27
- 13:00 UTC, 19
- 14:00 UTC, 19
- 15:00 UTC, 29
- 16:00 UTC, 23
- 17:00 UTC, 27
- 18:00 UTC, 29
- 19:00 UTC, 17
- 20:00 UTC, 18
- 21:00 UTC, 16
- 22:00 UTC, 10
- 23:00 UTC, 8
New posts by hour of day, UTC.
Top keywords
The words and phrases that show up far more often here than in other communities, from recent posts in r/gtmengineering.
- gtm 193 posts
- gtm engineer 54 posts
- gtm engineering 49 posts
- clay 62 posts
- outbound 66 posts
- enrichment 45 posts
- icp 37 posts
- engineering 62 posts
- linkedin 49 posts
- crm 42 posts
- sales 63 posts
- apollo 30 posts
- lead 53 posts
- revops 22 posts
- tools 72 posts
- email 61 posts
- gtme 14 posts
- b2b 42 posts
- company 73 posts
- signals 33 posts
- n8n 27 posts
- gtm agency 12 posts
- outreach 35 posts
- hubspot 22 posts
- companies 46 posts
- scale intelligence 11 posts
- agency 38 posts
- workflows 36 posts
- data 62 posts
- scraping 23 posts
- automation 41 posts
- pipeline 31 posts
- intent 25 posts
- team 53 posts
- cold 39 posts
- campaign 29 posts
- role 40 posts
- signal 25 posts
- stack 33 posts
- gtm systems 9 posts
Recurring topics: gtm, linkedin.
Related subreddits
- r/SalesOperations
- r/CRM
- r/B2BSaaS
- r/AiForSmallBusiness
- r/B2BSales
- r/ClayGTME
- r/GrowthHacking
- r/Businessowners
- r/EmailOutreach
- r/business
Common questions
How much karma do you need to post in r/gtmengineering?
No requirement is published. The subreddit has no rule list, sidebar text or AutoModerator messages. About 78% of posts in our sample stayed up, and the removals we saw were made by Reddit's own filters, not by moderators.
Can I promote my tool or agency in r/gtmengineering?
Nothing published forbids it, and tool posts, agency introductions and hiring notices stay up. Product mentions are also common in comments. Posts that only list or link products get little response. The ones that work describe a workflow or a result and mention the product in passing.
Is r/gtmengineering good for finding a GTM engineering job?
It is one of the main uses of the subreddit. Hiring posts, job roundups and recruiters appear regularly, and so do people offering contract or part-time work. Beginners asking how to break in get practical answers, usually to build real projects and get more technical.
What kind of posts work in r/gtmengineering?
Text posts with a specific question or a lesson from real work. About 83% of posts are text, the median post is around 120 words, and roughly a third of titles are questions. Questions about the role's future, hiring advice and tool comparisons get the most comments.
Data as of October 4, 2026. Numbers come from public Reddit data (the Arctic Shift archive and GummySearch) sampled on this date. Removal share counts posts taken down by moderators, AutoModerator or Reddit's own filters. Banner and icon belong to the community. Moderators change rules without notice, so treat the sidebar as the final word.
