Optimizely Jobs

3 Optimizely jobs currently listed

Browse 3 open positions that require Optimizely 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.

By the numbers

  • 3 companies hiring
  • Mostly Senior roles
  • Often paired with LLM, Contentstack, MCP, Next.js
  • Top locations: Berlin
  • 1 new in the last 7 days

Market insights

Contentstack is currently the most active employer hiring for Optimizely.

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.

Delivery Hero 1 week ago
Hybrid

Senior Product Analyst - Quick Commerce (Fixed-term)

Berlin, Germany - English

SQL Optimizely Adobe Target LLM
Zoe 1 week ago
Remote

Senior Full Stack Engineer, Front-end Focus - Growth

United Kingdom (Remote) - English

TypeScript React Next.js
Contentstack 1 month ago
Remote

Partner Engineer

Remote (EMEA) - English

Contentstack MCP LLM
€80.000–100.000 /year

Frequently Asked Questions

How many Optimizely jobs are available right now?
There are currently 3 open positions that list Optimizely as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires Optimizely?
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.
Can I filter out jobs that use certain technologies?
Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find Optimizely jobs that don't use a particular framework or language.
Are salary ranges accurate?
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.