A/B testing Jobs
12 A/B testing jobs currently listed
Browse 12 open positions that require A/B testing experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.
What you'll find here
Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.
Senior AI Engineer (f/m/d)
Amsterdam, Netherlands +8 (Remote) - English
Engineering Lead
Amsterdam, Netherlands - English
Data Scientist - AI Search & Ranking
Düsseldorf, Germany - English
Backend Engineer - Personalization
London, United Kingdom (Remote) - English
Senior Machine Learning Engineer - Personalization
London, United Kingdom - English
Product Designer, Growth Pricing
United Kingdom - English
Senior UX Designer
Ireland - English
Software Engineer, Atlas Growth
Dublin, Ireland +1 (Remote) - English
Junior Data Scientist (m/f/d) Machine Learning InsurTech
Frankfurt am Main, Germany - English
Senior Data Scientist, Ads
Canada (Remote) - English
Senior Software Engineer, User Profiles (Backend Focused)
Zurich, Switzerland - English (fluent)
Data Scientist - Music Mission
New York, United States (Remote) - English
Frequently Asked Questions
- There are currently 12 open positions that list A/B testing as a required skill. This number updates daily as new jobs are posted.
- We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
- Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find A/B testing jobs that don't use a particular framework or language.
- When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.