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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.
Role and Responsibilities:
Job Requirements
Ideal Candidate's Profile:
We welcome candidates from a variety of backgrounds, including:
What's On Offer:
At Opera, you'll join a diverse and international team of experienced professionals who value curiosity, ownership, and collaboration. We operate in a flat organization with short decision-making paths, empowering individuals to make a meaningful impact on products used by millions of people worldwide.
This is an opportunity to shape the future of performance advertising at Opera Ads, influence platform strategy, and help build optimization capabilities that drive measurable results for advertisers around the globe.
Job ID: 149111947
Skills:
Account leadership, Integrated Marketing, Campaign delivery, Client Services, Social media, AI tools and technology, Project management, influencer marketing, Digital Marketing, Media planning
Skills:
Machine Learning, Negotiation, data architectures, institutional equity sales, alternative data, communication, AI-driven market intelligence
Skills:
attribution , Performance management, KPI definition, Marketing Analytics, Roi Analysis, Performance Measurement
Skills:
Tensorflow, Pytorch, Docker, Databricks, Azure Machine Learning, Kubernetes, Python, Kubeflow, Scikit-learn, GPU orchestration, MLflow
Skills:
Cloud Architecture, Distributed Systems, Automated Testing, data privacy compliance, AI integration, Process Optimization, DORA metrics, security standards, code assistants, engineering productivity frameworks
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