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eComID
A cross-brand Shopping Passport that gives AI shopping agents real shopper context
- 18
- SCLRVCC+13
- Stockholm
- AI
Open roles at eComID
3 positions we're tracking, re-checked daily
Know when eComID is hiring before anyone else
A role stays uncontested for about four days. Here's the window, and where we put you in it.
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- live
livewatching eComID0 applicants
- +2h+2hrole spotted & verified1
- +4h+4hyou get the alert1
- day 3day 3you've applied~8
- day 7+day 7+hits the job boards250+
What eComID is building
eComID's product is a portable identity layer for shopping. The Shopping Passport holds a shopper's real context β size and fit across brands, taste, preferences, purchase history β and carries it between connected retailers, so a brand a shopper has never visited can behave as though it already knows them. On top of that sits Vera, an AI shopping agent that embeds directly into a brand's own site and uses the passport to do three concrete things: give sizing guidance on the product page, run conversational search, and personalize discovery. The hard technical problem underneath is cross-brand sizing logic. A medium at one label is a large at another, and the industry's answer for two decades was a size chart and a returns policy. eComID's version is to resolve a shopper to a single correct size per brand rather than have them buy two and send one back, which is why the company also ships Nudge & Score: dynamic return policies driven by shopper behavior, plus a merchant dashboard that shows brands what their returns actually cost them and who is generating them. The framing that makes this a 2026 company rather than a 2019 one comes from Systemiq's Gemma Bloemen: "eComID is solving a structural problem in digital commerce: AI cannot personalise without context." Agentic commerce is arriving fast, and every agent shopping on a consumer's behalf currently starts from zero on the one question that determines whether the purchase sticks. eComID is trying to be the layer the agents read from, and the passport is deliberately cross-brand because a per-brand profile is worth almost nothing and a portable one compounds. The origin explains the customer list. The company started with the fashion industry's returns problem β an environmental argument as much as a commercial one β which is how H&M ended up as a strategic investor in 2023, before AI agents were the story.
Why this matters
The traction numbers are the argument, and they are the company's own published figures: 60+ brands, ~20 million shoppers a month, a 30% lower return rate for shoppers using eComID, and 10% higher conversion for brand partners. Returns in online fashion are a structural margin problem, not a rounding error, and a 30% reduction is the kind of number that survives a procurement review. The cap table is the second argument. Systemiq Capital and Regeneration.VC lead on the sustainability thesis; H&M Group Ventures is there because it is the customer; and the angel list is a who's-who of people who have personally built the two things this company needs at once. Alan Mamedi (Truecaller) and Sebastian Knutsson (King) scaled Swedish consumer products to hundreds of millions of users. Henrik Nordvall ran H&M UK & Ireland and then Matalan, and Maria Raga ran Depop. That is a deliberate split between consumer-scale distribution and retail operating credibility, which maps exactly onto the two-sided problem of getting shoppers to claim a passport and brands to install one. The timing risk is real and worth naming: as agentic commerce standardizes, platform players will try to own the context layer themselves. eComID's counter is that it is already installed on brand sites and holds cross-brand fit data no single retailer can assemble. This round is the sprint to make the passport a default before the window closes.
Investors: Systemiq Capital (lead), Regeneration.VC, Course Corrected, Stadium, CapitalT (returning), H&M Group Ventures (strategic, first backed in 2023), Angels: Alan Mamedi (co-founder, Truecaller), Sebastian Knutsson (co-founder, King), Henrik Nordvall (ex-CEO Matalan, ex-MD H&M UK & Ireland), Maria Raga (ex-CEO Depop), August ErsΓ©us (founder, Legora)
Hiring outlook
The round's stated use of funds explicitly includes growing the team and infrastructure alongside international expansion, and the company has been actively recruiting engineers and designers into Stockholm β publicly profiling new hires like a senior ML engineer who joined from H&M and King. Going from 18 people and 60 brands to an international rollout is a headcount step change. Marked at 7 rather than 8 only because there is no live job board to point at.
Working at eComID
eComID is A cross-brand Shopping Passport that gives AI shopping agents real shopper context, and now <50 people. For a AI company this size, the reality is broad remit, direct access to founders, and equity that still means something if the company works out.
Most eComID jobs are based in Stockholm, Sweden.
How to actually get hired at eComID
Why applying the normal way doesn't work
With only <50 employees, eComID doesn't have dedicated recruiters. Founders review applications between running the company. The challenge isn't competition β it's visibility. Direct outreach wins.
Who to contact at eComID
- Who decides
- a founder or department head
- Best channel
- LinkedIn or direct email
Founding team
A Stockholm School of Economics graduate who co-founded eComID in Stockholm and has run it from a fashion-returns thesis through to an agentic-commerce one without changing the underlying product bet: that shopper context is the missing primitive. He raised a β¬2.75M pre-seed with H&M Group as a backer, took the company to 60+ brands and roughly 20 million monthly shoppers, and has been nominated for Nordic startup awards along the way. He is one of six co-founders and is the public face of the company.
What to show them
Build the cross-brand sizing problem in miniature and be honest about where it breaks. Take published size charts from three or four real fashion brands, build a resolver that maps one shopper to a correct size at each, and then handle the cases that make it hard: garments with no comparable chart, brands whose fit changes by product line, and a shopper with contradictory return history. Ship it as an embeddable widget with a measured page-weight budget, because it has to load on someone else's product page without slowing it down.
A cold email that works at eComID
What eComID screens for
Systemiq leading, H&M Group Ventures holding, and five operator angels who have each solved half of this problem before β that syndicate is assembled for a land-grab, not a slow build. The passport only works if it is everywhere, so the money is being spent on distribution speed. For candidates, the timing is unusually good: 18 people, a fresh $17M, and an international expansion means the next twenty hires define how the product works outside the Nordics. Stockholm consumer-tech engineers know how to reach 20 million monthly users; far fewer have worked on a context layer that has to be trusted by competing brands simultaneously. If you can speak to multi-tenant data boundaries or to why a merchant would share shopper context with a rival, you are answering the question the company is actually stuck on.
Tailor your CV to the specific eComID role rather than sending a general one. Applications that mirror the language of the job description clear automated filters at a materially higher rate.
Don't make these mistakes
Do not pitch Oscar on the idea that AI will personalize shopping. He has been building this since 2023, back when the company's story was fashion returns and sustainability rather than agents, and the generic agentic-commerce take is the single most common thing in his inbox this week. Also avoid framing eComID as a size-chart or fit-widget company β the whole strategic bet is that the passport is portable across brands and that per-brand personalization is a dead end, so pitching a better single-brand recommender argues against his thesis. He is a Stockholm School of Economics graduate running a two-sided product with H&M as an investor: he thinks in unit economics and merchant adoption, not model architecture. Bring returns math or brand-integration friction, not model enthusiasm.
Mistakes that kill eComID applications
A recycled CV gets rejected fast at eComID (<50 people). They notice.
Lead with their problem, not your ambition. eComID is focused on The traction numbers are the argument, and they are the company's own published figures: 60+ brands, ~20 million shoppers a month, a 30% lower return rate for shoppers using eComID, and 10% higher conversion for brand partners β show you understand that.
Don't apply and wait. The median AI application gets no response ever. One follow-up at day five roughly doubles reply rates.
Applying to eComID? Get the contact, not the form.
The eComID interview process
We don't yet have verified candidate reports for eComID. What follows is the typical process for a <50-person AI company, so treat it as a model, not confirmed detail.
Interview stages
- 1
Intro Call
Video call Β· 30 min
What it testsCulture fit and role expectationsUsually run byFounder or hiring manager - 2
Technical Deep Dive
Video call or in-person Β· 60 min
What it testsPast projects and problem-solving approachUsually run byTechnical founder or lead - 3
Final Round
In-person or video Β· 45 min
What it testsTeam fit and offer discussionUsually run byFounding team
eComID take-home assignment
eComID includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.
eComID interview timeline
eComID runs about 7 days from first contact to offer. The median for AI companies at <50 people is 10 days, so eComID is faster than most.
Interviewed at eComID?
Tell us how it went: stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.
eComID jobs, frequently asked questions
How many jobs does eComID have open?
We're tracking 3 active openings at eComID (verified October 11, 2026).
Does eComID hire remotely?
eComID doesn't have remote openings at the moment. All roles are in Stockholm, Sweden.
What roles is eComID hiring for?
eComID is hiring across Engineering, Design. The most recent opening is Fullstack Engineer (Stockholm, full-time).
How do I apply for a job at eComID?
Click through to apply, or see our detailed guide on landing a job at eComID.
Does eComID respond to cold emails?
We haven't verified response rates at eComID yet.
Who is the hiring manager at eComID?
At this size, hiring is usually run by a founder or department head.
How competitive is it to get hired at eComID?
Typical applicant count for AI roles (<50 people): 50-100 in two weeks. Apply fast.
How many rounds is the eComID interview?
3 stages: Intro Call, Technical Deep Dive, Final Round.
Is the eComID interview hard?
The interview emphasizes technical depth and system design over abstract problems. Hardest stage: Technical Interview.
Does eComID give a take-home task?
Yes, eComID includes a take-home assignment.
How long does eComID take to get back to you?
Around 7 days across the full process.
What should I prepare for the eComID interview?
Study technical depth and system design. At this size (<50), they care about self-sufficiency over textbook knowledge.
Where is eComID based?
eComID is headquartered in Stockholm, Sweden.
Get eComID roles before they're posted
A role stays uncontested for about four days. Here's the window, and where we put you in it.
From $5.99/week, cancel any time.
- live
livewatching eComID0 applicants
- +2h+2hrole spotted & verified1
- +4h+4hyou get the alert1
- day 3day 3you've applied~8
- day 7+day 7+hits the job boards250+
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