Adikteev
As of 1 November 2026, Adikteev has 13 open roles (2 new in 30 days), its data & ai team is hiring most, and its postings name Microsoft Excel, Google Sheets and Python as the tools the team works in.
As of 1 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- Paris 09, Île-de-France, United States
- Employees
- 51-200 employees (linkedin)
- Sells to
- gaming apps, sports betting and iGaming, non-gaming apps
- Certifications on site
- Site languages
- EN, KO, ZH
- Career system
- Recruitee
Adikteev in one screen
Read from adikteev.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Adikteev is a user-retention and app-retargeting service that helps app publishers and advertisers turn installs into active, engaged players. Its offerings include churn-based bidding, retargeting campaigns, mobile creatives, adjusted ROAS, and incrementality measurement. It serves gaming apps, sports betting and iGaming, non-gaming apps, and agencies.
Named on the site: gaming apps, sports betting and iGaming, non-gaming apps, agencies, app publishers, gaming companies, marketing agencies.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 541 scored.
What Adikteev says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
• Excel 또는 Google Sheets 활용이 능숙하신 분• Excel 또는 Google Sheets 활용이 능숙하신 분• Strong command of the modern ML stack: Python, PyTorch or TensorFlow, scikit-learn, MLflow or Weights & Biases, Spark or Flink for feature engineering.• Strong command of the modern ML stack: Python, PyTorch or TensorFlow, scikit-learn, MLflow or Weights & Biases, Spark or Flink for feature engineering.• Define Adikteev’s reliability strategy and technical roadmap across our multi-region AWS platform.• Strong command of the modern ML stack: Python, PyTorch or TensorFlow, scikit-learn, MLflow or Weights & Biases, Spark or Flink for feature engineering.• Are hands-on with Kafka for handling real-time data ;• Experience with real-time serving infrastructure: Triton, TorchServe, Ray Serve, or custom low-latency gRPC services.• Strong command of the modern ML stack: Python, PyTorch or TensorFlow, scikit-learn, MLflow or Weights & Biases, Spark or Flink for feature engineering.• Strong command of the modern ML stack: Python, PyTorch or TensorFlow, scikit-learn, MLflow or Weights & Biases, Spark or Flink for feature engineering.• Experience with real-time serving infrastructure: Triton, TorchServe, Ray Serve, or custom low-latency gRPC services.• Have rock-solid skills in Spark, Scala, and handling big data systems ;operating ML systems within a DSP (Demand-Side Platform) environment is mandatory, including deep familiarity with programmatic advertising, RTB, mobile attribution (MMP ecosystem, SKAdNetwork, Privacy Sandbox), and bidding infrastructure.• Have a strong command of MS Office (especially PowerPoint and Excel) and Google Workspace; knowledge of SQL is a plus;Vendors whose code loads on adikteev.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
13 open roles, 7 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring data & ai in United States →
| open · new 30 d | |
|---|---|
| Data & AI | 5 · 0 |
| Sales | 4 · 2 |
| Design & UX | 1 · 0 |
| Marketing & communications | 1 · 0 |
| Product, program & project management | 1 · 0 |
| Software engineering | 1 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add Adikteev to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Adikteev
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 541 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Adikteev (Paris 09, United States, 51-200 employees) has 13 open roles, 2 new in 30 days, and names 14 tools in its postings. (Breaknorm, 1 November 2026, https://breaknorm.co/company/adikteev.com)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from adikteev.com: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Recruitee career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Adikteev: questions
Does Adikteev use Microsoft Excel?
Yes, by the company's own words: 4 postings name it, first seen 2026-07-06, in the team.
Is Adikteev hiring?
13 open roles as of 1 November 2026, 2 opened in the last 30 days and 0 closed. The largest team hiring is data & ai.
Where does this profile come from?
From adikteev.com itself: we crawled it on 2026-08-07, built the profile on 2026-08-16, and read its career site (Recruitee) hourly since. Headcount is from LinkedIn.
Who should I write to at Adikteev?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 3 public role addresses from the site are there too.
Get this company your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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