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- Tasks: Design and execute experiments to boost brand visibility in AI search engines.
- Company: Join Cloudinary, a leader in cloud-based image and video management.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Why this job: Make an impact in the exciting world of AI and digital media.
- Qualifications: Experience with experimentation, Python scripting, and a passion for AI.
- Other info: Be part of a dynamic team driving innovation in tech.
The predicted salary is between 50000 - 70000 £ per year.
Cloudinary delivers a cloud-based platform for seamless image and video management, optimization, and delivery at scale for websites and apps worldwide. This role focuses on enhancing brand visibility across AI-powered search engines like ChatGPT, Gemini, Perplexity, and Google AI Overviews through disciplined, high-velocity experimentation programs.
As a GEO/AEO Experimentation Specialist at Cloudinary, you will:
- Design, execute, and document at least five experiments weekly to improve visibility in AI engines.
- Develop strategies for third-party content inclusion and optimize materials structured for LLM consumption.
- Build outreach workflows, automate processes with Python scripts and APIs, and report weekly outcomes on measurable progress.
AI Engine Visibility & Experimentation Specialist employer: Experimentation Jobs
Contact Detail:
Experimentation Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engine Visibility & Experimentation Specialist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Cloudinary. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got experience with AI engines or Python, create a mini-project or experiment to showcase your abilities. Share it on LinkedIn or during interviews to stand out.
✨Tip Number 3
Prepare for the interview by diving deep into Cloudinary's platform. Understand how they optimise images and videos, and think about how you can contribute to their AI visibility goals.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace AI Engine Visibility & Experimentation Specialist
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and experimentation shine through. We want to see that you’re not just ticking boxes but genuinely excited about enhancing brand visibility in AI-powered search engines.
Be Specific About Your Experience: Make sure to highlight any relevant experience you have with experimentation or AI technologies. We love details, so share specific examples of projects you've worked on that relate to the role. This helps us see how you can contribute to our team.
Tailor Your Application: Don’t send a generic application! Take the time to tailor your CV and cover letter to the job description. Mention how your skills align with the responsibilities of the AI Engine Visibility & Experimentation Specialist role. It shows us you’ve done your homework!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for both you and us!
How to prepare for a job interview at Experimentation Jobs
✨Know Your AI Engines
Familiarise yourself with the AI-powered search engines mentioned in the job description, like ChatGPT and Google AI. Understand how they work and what factors influence visibility. This knowledge will help you demonstrate your expertise and show that you're genuinely interested in the role.
✨Experimentation Mindset
Be prepared to discuss your experience with designing and executing experiments. Think of specific examples where you've improved visibility or performance through experimentation. Highlight your ability to analyse results and iterate on strategies, as this is crucial for the role.
✨Showcase Your Technical Skills
Since the role involves automating processes with Python scripts and APIs, brush up on your coding skills. Be ready to talk about any relevant projects you've worked on, and if possible, bring along examples of your code or workflows to showcase your technical prowess.
✨Prepare Questions About Outreach Workflows
Think of insightful questions regarding outreach workflows and third-party content inclusion. This shows that you're not only focused on the tasks but also on how they fit into the bigger picture. It demonstrates your strategic thinking and eagerness to contribute to the team.