Make an impact on the browsing experience of 360+ million users worldwide

Have you ever dreamed of making a real impact on the way people access the web? Well, then working at Opera is exactly right for you! Here, the innovations you develop are quickly implemented and delivered to our users.

Huge scale - small, independent teams

You will work surrounded by supportive colleagues and in a flat organizational structure with short decision-making processes that boost your creativity and drive.

Job Description

Are Thaler, Kahneman and Tversky by far your favorite authors? If so, you have found the perfect place to apply your knowledge to business. We are recruiting for a team with two foundational disciplines: behavioral science and growth hacking. At Opera, we are currently challenging the status quo and exploring new ways to address our users’ needs to help them with their online activities - which is where you come in.

We want to merge your knowledge with the newest trends in e-commerce and IT. The goal is to find creative ways to grow all aspects of our business, with a strong focus on improving conversion by applying behavioral science. You will work closely with our Marketing Team, Designers, Product Managers, Business Developers and Big Data Analysts.


  • Use behavioral science insights to help drive engagement towards Opera’s products
  • Understand user behavior - identify trigger points and intent
  • Capture user attention - leverage and channel it towards a desired outcome
  • Design, conduct, and analyze experiments to help the team make informed and impactful decisions
  • Provide behavioral science consultation to product and marketing teams


  • Degree in Behavioral Science/Economics or equivalent practical experience.
  • 3+ years of experience in applying behavioral science insights and experimental research methods to real-world challenges in consulting and/or academic research.
  • Excellent business problem-solving and analytical skills
  • Research skills - ability to grasp the full picture using bottom-up and top-down approaches