Intro

Confect is a fast-growing SaaS company helping ecommerce brands create high-performing ads through data-driven creativity. We are now looking for a distribution-focused marketing coordinator who can help us effectively reach paid social specialists across the globe.

At Confect, we have a unique and highly attractive marketing advantage that many would be jealous of. Through our product, we gain data on what works in ads and what doesn’t. We turn these insights into bi-monthly or quarterly reports.

First, the thing we make

Catalog ads, also called dynamic product ads, are the ads that pull products straight out of an ecommerce brand’s product feed. They are where a huge share of online retail ad budget goes, and almost nobody does them well, because most brands treat them as a plumbing exercise rather than a creative one. Confect is the platform that lets brands and agencies design, automate and optimise them at scale across Meta, Google, TikTok, Pinterest and Snapchat.

Why this role exists

Confect already publishes the best content about catalog ads that exists anywhere. Every week we feature one exceptional catalog ad from a real brand and break down exactly why it performs. We publish research nobody else can publish, because we sit on performance data from tens of thousands of catalog ad variants, plus a library of scraped ads from hundreds of the biggest ecommerce brands in the world, tagged by industry and layout. Competitors copy our formats. Agencies quote our numbers back to us.

We are not trying to keep that going. We are trying to go considerably further.

The goal is for Confect to be the company that educates the entire market on catalog ads. The place every ecommerce marketer and every agency goes to learn how this discipline actually works, the way people go to specific companies to learn SEO or email or CRO. Not a software company with a good blog. The definitive source.

We have the data, the ad library, the formats and the audience. What we do not have is one person whose entire job is to take all of it and make the best content that has ever been made about catalog ads. That is this role.

What you own

Three formats. You own the content, not the distribution. Someone else runs the ads, the email sends and the webinar logistics. Your job is to make the thing that deserves to be distributed.

• Tactics, roughly 60% of your time. “Tactic” is our internal name for a large, research-driven content package. We take one real question, answer it properly using our own data and hundreds of real ad examples, and publish the answer as a set of connected assets rather than a single blog post. For example: how do the 200 biggest fashion brands actually build their catalog ads, or what really happens to catalog ad performance through Black Friday. One tactic becomes a long-form article, a set of charts, a webinar, an ebook, a LinkedIn carousel and a batch of social posts.

  • You own the whole thing: framing the question, digging through our aggregate performance data, pulling and analysing the ad examples, working out why the pattern holds using established marketing theory, then writing it and building the visuals. One per month. This is the heart of the job and the part we are least able to do without you.

• Catalog Ad of the Week, roughly 30%. Every week we feature one exceptional catalog ad from a real brand and break down exactly why it works. You spot the candidates in our data, handle the outreach and approval with the brand or agency, write the breakdown, and direct the visuals. Four per month, published on time, every time.

• Case studies, roughly 10%. You run the interview with the customer or agency yourself, get the numbers, and write it up. Roughly one per month.

• Repurposing, running through all of the above. A tactic is not finished when the article is live. You cut it into a LinkedIn document carousel, a webinar deck, an article version, a set of standalone charts, a lead magnet. You are also the one who hosts or co-hosts the monthly webinar that comes out of your tactic.

• Directing freelancers, running through all of the above. You are not doing all of this with your own hands. You get a bench of freelancers, designers, editors and researchers, and you decide what they work on and how. You write the brief, you set the standard, you review what comes back, and you send it back when it is not right. Nobody hands you a queue of tasks to delegate. You decide where an extra pair of hands buys you the most quality and you go use them.

What success looks like

Once you are up to speed, a normal month:

• 1 tactic published, with the ebook and webinar deck that come out of it

• 1 webinar hosted or co-hosted off that tactic

• 4 Catalog Ads of the Week, on schedule

• 1 case study

• All of it cut into repurposed formats so distribution has something for every channel

Volume is the floor, not the goal. A month where you shipped all of that and none of it was worth resharing is a bad month.

What you get on day one

This is not a “build it from scratch” job. The hard infrastructure is already there:

• A Catalog Ads Data Explorer built so a non-analyst can query aggregate performance across thousands of advertisers without writing SQL, plus a chart builder on top of it

• An internal ad example library with catalog ads scraped from hundreds of leading brands across industries, tagged, searchable, with animated previews and full per-brand history

• Prepared datasets from our own research: our Andromeda study, Black Friday and December performance, fashion, and more being added

• A theory library so you can find and check the right framework instead of guessing

• Claude skills for every format we produce, built from years of our own feedback and standards, so you start at 80% and spend your time on the 20% that actually decides whether a piece is good

• A brand system (defined backgrounds, typography, ad formatting, templates) and a designer to brief for anything outside it

• A freelance bench you direct, so your output is not capped by your own typing speed

• Permission to publish real numbers and name real brands. Most content people in martech spend their careers writing around the fact that they have no data. You will have more than you can use.

Requirements

Short list, all of it real.

1. You write excellent English. Native or indistinguishable from it. You will publish under Confect’s name and speak live to a few hundred marketers on a webinar.

2. You can find the story in data. Hand you a performance export and a folder of 100 ad screenshots and you can tell us what is actually going on, what is noise, and why an ecommerce marketer should care by Thursday.

3. You have visual judgment. You do not need to be a designer. You do need to see when a layout is unbalanced, when whitespace is wasted, when a screenshot is the wrong crop for the format, and when an ad example is illegible at the size it will be viewed. And you need to be able to assemble a clean slide, carousel or annotated ad example inside an existing template without breaking it. Analysing visuals is a large part of this job.

4. You use AI as a serious instrument. We produce content with Claude every day and we will not hire someone to generate slop faster. We want someone who reaches great output faster because they know how to direct a model, feed it the right raw material, and delete everything that does not survive scrutiny.

5. You can find and apply marketing theory. You do not need Ehrenberg-Bass and System1 memorised. You do need to recognise when a finding calls for a distinctiveness argument rather than a salience one, look up the right source, and represent it accurately. Content that sounds smart but misuses a framework is worse than content that stays plain.

6. You can brief and direct other people’s work. You will have freelancers working to your instructions. That means writing a brief precise enough that what comes back is usable, holding a standard when it is not, and knowing the difference between delegating a task and handing someone a blank page.

7. You ship. Published beats excellent-in-draft.

8. You are comfortable being the person on the webinar, presenting your own work live.

Nice to have

• Hands-on experience running paid social, especially catalog or dynamic product ads

• Ecommerce brand or agency background

• Figma comfort

• Experience interviewing customers and writing up results with real numbers

• You have built your own dataset before, out of curiosity rather than because someone asked

Who thrives at Confect

We are fully remote, async, and small. Nobody checks whether you were online at 9. People notice what you published.

We are direct. You will get specific, fast feedback on your writing and your visuals, including from the CEO, and it will not be softened. If that reads as hostile rather than useful, you will not enjoy working here.

After your first month, nobody will tell you what to make. You bring the topic, you argue for it, you make it.

Being honest about where we are

The formats, the data infrastructure and the brand system exist and work, but the playbook is roughly 80% written rather than finished. You will be the first person whose entire job is this content, and you will help finish the system while using it. Some of what you inherit you will want to change, and you will be allowed to.

You will not have employees reporting to you. You will have a freelance bench you direct and a real budget of other people’s hours. This is a senior individual contributor role in the sense that the quality of the work is yours, not in the sense that you work alone, and there is room to grow into leading the content function as we add people.

If you want a role where the strategy is settled and your job is execution against a calendar, this is the wrong one. If you want to own a category’s education layer, with the data to back it and freelancers to scale it, there is not a better version of this job in martech right now.

Practicals

• Fully remote. Europe-friendly timezone. The team currently spans Denmark, Latvia, Slovakia, Kosovo and Albania.

• Full-time.

• Reports to the Head of Marketing.

• Start date: 1 October 2026.

• Compensation: competitive and based on experience, discussed openly in the first call.

How to apply

Send us:

1. Two or three pieces of content you made. One line each on what you personally did and what happened when it went out. Written work preferred. If a piece is visual, be clear about what you designed versus what you briefed.

2. Three sentences on the most interesting thing you have ever found in a dataset. Any dataset. It does not have to be marketing.

3. No cover letter please. We will not read it.

We look forward to receiving your application!