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Artie

Data Infrastructure and Analytics

Stream data changes to your warehouse with sub-minute latency and exactly-once delivery. No Kafka build, no DMS compromises.

See 18 open rolesAsk about Artie13 new roles this week

Is Artie hiring?

Yes. As of November 4, 2026, Artie has 18 open roles on Metaintro. 14 were posted in the last 30 days.

Open roles

Newest first. Pay shown when the posting lists it.

Hiring pattern

How fast Artie is adding roles, and how they're set up.

New roles each monthRoles first posted in the month

4
0
2
2
12
JulyAugustSeptemberOctoberNovember
November: 12 new roles.

How roles are set upShare of open roles

6%
81%
12%
RemoteOn-siteNot stated
6% of roles are hybrid or remote.

Customers

All 14 companies Artie names as customers.

Customers hiring now6

Case studies3

Other customers5

  • John SchweglerVP Data & AI Architecture at Vector Solutions
  • Matt PowersCTO at momoGood
  • Mike CohenHead of AI & ML Engineering at Substack
  • Michael ReveloDirector of Data Platform at ClickUp
  • Yan KarklinStaff Data Scientist at Alloy

What their customers say

Quotes from people at Artie's customers.

“Artie has become a fundamental part of our tech stack - the product not only solves our real-time replication problems, but the ease and simplicity of its implementation makes it a product hard to match. Artie bolsters a simple yet effective analytics dashboard that allows us to dig deep into replication issues with a low barrier of entry that enables us to get pipelines up and running within minutes.”

Jean Paul A. · Data Engineer

“The most helpful thing about Artie is the ease of use and how fast you can set things up. We have multiple integration options with fully managed connectors. Have found the tool to be a lot more efficient than traditional ETL.”

Nayan D. · Web Developer

“Artie delivers fast, reliable CDC replication from our relational databases, which has made stale or missing data a thing of the past for both customer-facing products and internal products. We no longer have to worry about the complications or liabilities of managing our own replication infrastructure.”

Jakub R. · Senior Manager/Architect of Business Analytics

“We knew DMS was going to fail. The problem was we didn't know when. We actually had to set aside part of our budget for when we'd have to reprocess data due to DMS failures.”

John SchweglerVP Data & AI Architecture at Vector Solutions

“It's basically a big container of a lot of Parquet files, and it's impossible to know what the state is, who changed it, whether the changes were completed properly or not, or even keep track of changes to the schema.”

John SchweglerVP Data & AI Architecture at Vector Solutions
Show 25 more quotes

“When you get something reliable as a service that hides all the complications, that's less context you have to worry about. It means it's easier to do new projects because you can just drop this in.”

John SchweglerVP Data & AI Architecture at Vector Solutions

“Iceberg was not particularly tied like that. It was pretty much a standalone data standard that could be used by a lot of different consumers.”

John SchweglerVP Data & AI Architecture at Vector Solutions

“We kind of joke internally that AWS services are basically going to Home Depot. They've got the pieces, but you've got to find them all and put them together yourself.”

John SchweglerVP Data & AI Architecture at Vector Solutions

“It became a serious problem that we were not providing data on a timely basis in the period where most of our users were intensely interested in seeing the results.”

John SchweglerVP Data & AI Architecture at Vector Solutions

“Code is not an asset. It's a liability – it's something you have to maintain and update as other systems change. CDC is a very complicated ecosystem. That's not something I want us to build.”

John SchweglerVP Data & AI Architecture at Vector Solutions

“I didn't go to my CTO and say we should replace DMS for our biggest services. I said, let's go with relatively small projects where we can drop it out if we have to, and we'll have time to evaluate whether it's going to work.”

John SchweglerVP Data & AI Architecture at Vector Solutions

“It initially worked, but we found a lot of issues with DMS - in terms of performance, reliability, silent failures. There's a number of things that made it hairy to manage.”

John SchweglerVP Data & AI Architecture at Vector Solutions

“You're giving us the finished product. We've got a source, we've got a destination, and you deal with all the details in between.”

John SchweglerVP Data & AI Architecture at Vector Solutions

“It was smoother than I definitely thought it was going to be.”

momoGood

“Imagine what happens when you send out an invoice to a customer at the end of the month based on their sending data. But on New Year's Eve, you lag so bad that it doesn't correct itself for 24 hours. Now you have a billing problem to deal with because the invoices that just went out are wrong.”

Matt PowersCTO at momoGood

“DMS was like sitting in the cockpit of a plane and not being a pilot. You have no idea what button does what and how it affects things and how it might help.”

Matt PowersCTO at momoGood

“It relies on Artie to actually deliver the data to us as fast as humanly possible. The faster it delivers the data, the faster the test will run, catch it, and we'll be able to service our customers better.”

Matt PowersCTO at momoGood

“All of this starts with the data being able to be replicated very, very quickly.”

Matt PowersCTO at momoGood

“If it's not core to your business, you should never be building it in-house, because you have to go and support it.”

Matt PowersCTO at momoGood

“For me, as an engineer, being able to talk to another engineer about technical specs made me feel comfortable about the architecture. There was a level of confidence they had that put a level of confidence in me.”

Matt PowersCTO at momoGood

“We were sort of just trying to solve a problem, and then there was a bunch of ancillary benefits that ended up being outcomes of having solved this other problem.”

Mike CohenHead of AI & ML Engineering at Substack

“It was exactly the way I sort of dreamed or imagined a product would work. That's exactly what I want, and exactly what I don't have in this batch solution.”

Mike CohenHead of AI & ML Engineering at Substack

“We intend for Snowflake to mirror prod completely.”

Mike CohenHead of AI & ML Engineering at Substack

“A thousand percent. A million percent.”

Mike CohenHead of AI & ML Engineering at Substack

“We were just used to it. You kind of just get used to abuse in some way.”

Mike CohenHead of AI & ML Engineering at Substack

“We had two very skilled people kind of speaking the same language. They were able to resolve stuff as it came up and it's kind of mostly been incident-free since.”

Mike CohenHead of AI & ML Engineering at Substack

“The key thing I wanted was CDC because I was like, this will enable real time. But I don't even think I really knew at that point what that would be like, because I never had that in any previous job either.”

Mike CohenHead of AI & ML Engineering at Substack

“That's it, he says. That's, like, the extent of my Artie interaction.”

Mike Cohen · Head of AI & ML Engineering · Substack

“Working with Artie was exceptionally positive. Their genuine attentiveness to our needs distinguished them from other vendors. The onboarding process was smooth and the team promptly addressed any issues that came up.”

“Since adopting Artie, we have seen a fourfold increase in the frequency of key business data updates without additional costs. This enhancement has allowed all departments, including Customer Experience, Finance, Marketing, and Supply Chain, to access more current information on their dashboards.”

AI launches and partners

What Artie has launched and who it works with on AI.

  • LaunchReal-time data replication for AI and MLArtie streams data changes to data destinations for AI and ML.
  • LaunchReal-time data for AI and MLArtie streams changes to a warehouse or lake continuously so AI and ML workloads operate on current data.

Skills they ask for

Most frequent across open postings.

Most requested skills

  • Hair coloring
  • Shampooing
  • Hair styling
  • Salon cleaning
  • Salon assistance
  • Customer service

Tech stack

Security
Termly
Frameworks
Next.js

Company facts

Headquarters
San Francisco, US
Industry
Data Infrastructure and Analytics
Sector (NAICS)
Information
Peer
EXL
Website
artie.com
Social
LinkedIn · GitHub · X

Roles by location

Where Artie is hiring. Pick a city to see its roles.

Similar companies

Companies in the same industry as Artie that are hiring now.

Questions about Artie

Is Artie hiring?
Yes. As of November 4, 2026, Artie has 18 open roles on Metaintro. 14 were posted in the last 30 days. The most are in Fashion and Apparel (6), Hospitality and Tourism (4), and Developer (2).
Where is Artie hiring?
Artie is hiring in Yaizu and San Francisco, with the most open roles in Yaizu.
Does Artie offer remote or hybrid work?
0% of open roles are hybrid and 6% are remote.
Who are Artie's customers?
Artie names 14 customers, including ClickUp, Alloy, Firecrawl, Substack, and Papaya.
What skills does Artie look for?
Its open roles most often ask for Hair coloring, Shampooing, Hair styling, Salon cleaning, and Salon assistance.
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