Staff Product Manager, Unity

• 6+ years of product management experience, including 3+ years leading technical or ML-driven products
• Strong experience working in mobile advertising, particularly User Acquisition
• Data analysis or intelligence background, or strong experience partnering with BI/ML teams
• Experience shaping product strategy and aligning teams around business and user priorities
• Ability to leverage data-driven decision-making, including cohort analysis, to assess machine learning product and algorithm performance
• Skilled in critical thinking and problem-solving with a focus on delivering user-first solutions

Desirable

• We are looking for a Staff Product Manager to join our Vector applied research team, building the real-time systems that power Unity Ads, our global advertising platform
• In this high-scale, low-latency environment, we process billions of requests daily to deliver fast, relevant ads to players worldwide
• In this role, you’ll lead initiatives to improve the advertiser experience and define the vision, strategy, and execution of ML-powered User Acquisition products — from campaign management dashboards to optimization features such as bidding and budget management
• Working closely with scientists and engineers, you’ll translate complex machine learning models into practical solutions that boost campaign performance and drive advertiser growth
• Transform business requirements into actionable machine learning solutions, ensuring alignment with measurable objectives and user needs
• Build and maintain product roadmaps for User Acquisition initiatives, prioritizing features and improvements that deliver the greatest value
• Collaborate with the Vector team and multi-functional groups to implement and refine ML models, ensuring seamless user integration and technical robustness
• Lead innovation by conceptualizing, defining, and launching new ML features while staying informed on the latest industry advancements
• Analyze and track important metrics to evaluate product performance and guide iterative improvement