Director, Ads Optimization & User Acquisition

Opera is a leading global internet brand with a large and engaged user base of approximately 300 million average monthly active users. Building on 30 years of innovation, starting with our browser products, we are leveraging our brand as well as our massive and engaged user base in order to expand our offerings and our business. Today, we offer users around the globe a range of products and services that include a variety of PC and mobile browsers, our Opera Gaming portals and development tools, our Opera News content recommendation products, our audience extension product (namely the Opera Ads platform) and a number of AI and Web3 products and services.

This comprehensive suite of products is designed to meet the diverse needs and preferences of Opera's growing user base.

Headquartered in Oslo, Norway, Opera has a global presence with major hubs in Poland, China, Spain, Scotland, and Sweden, coupled with operations spanning numerous other countries. As a publicly traded company, Opera is listed on the Nasdaq stock exchange under the ticker symbol "OPRA".

Opera Ads is looking for a Director, Ads Optimization & User Acquisition to drive the next generation of performance advertising capabilities across our platform. This role will own the strategy and evolution of our optimization ecosystem, spanning audience intelligence, user acquisition, prediction systems, bidding, campaign delivery, and ROAS optimization.

Working at the intersection of Product, Engineering, Machine Learning, Data Science, and Commercial teams, you will help shape how advertisers acquire and engage users at scale while improving campaign efficiency, advertiser value, and long-term business growth.

The ideal candidate combines deep expertise in performance advertising and user acquisition with a strong understanding of machine learning-driven optimization systems, audience modeling, and advertiser economics. You will play a key role in defining the roadmap and helping Opera Ads strengthen its competitive position within the global app-install and performance advertising ecosystem.

• Define and execute the strategy for Opera Ads’ optimization and user acquisition capabilities, with a focus on advertiser performance and long-term value creation.

• Lead the evolution of core advertising systems, including bidding, auction optimization, targeting, campaign delivery, attribution, measurement, and budget allocation.

• Partner closely with Engineering, Machine Learning, and Data Science teams to improve audience intelligence, conversion prediction, user value modeling, and ROAS optimization.

• Drive the development of audience expansion, targeting, and optimization capabilities that improve campaign efficiency and advertiser outcomes.

• Evaluate market trends, competitive offerings, and emerging technologies to identify opportunities for product innovation and differentiation.

• Define product roadmaps and investment priorities based on business impact, advertiser needs, and platform growth objectives.

• Establish success metrics and performance frameworks across ROI, ROAS, advertiser retention, campaign efficiency, and revenue growth.

• Lead experimentation and data-driven decision-making to continuously improve optimization performance and advertiser results.

• Collaborate with Commercial, Customer Success, and Operations teams to translate customer insights into scalable product and platform improvements.

• Act as a strategic advisor to senior leadership on the future of performance advertising, user acquisition, machine learning, and audience intelligence.

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, Economics, Business, or a related discipline.

• 8+ years of experience in Product Management, Advertising Technology, Performance Marketing, User Acquisition, Applied Science, Machine Learning, or related fields.

• Strong understanding of mobile app-install advertising, programmatic advertising, DSPs, ad exchanges, attribution, MMPs, SKAdNetwork, privacy frameworks, and performance optimization.

• Experience working with machine learning-driven advertising systems, including audience…