Staff Product Manager, Vector

Unity Technologies•San Francisco, CA

About The Position

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 define the vision, strategy, and execution of ML-powered User Acquisition products, from campaign management dashboards to optimization features like bidding and budget management. Collaborating closely with data scientists, engineers, and designers, you’ll transform complex machine learning models into practical products that enhance campaign performance and drive advertiser growth.

Requirements

6+ years of product management experience, including 3+ years leading technical or ML-driven products.
Strong experience working in mobile advertising, particularly User Acquisition.
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.
Strong understanding of machine learning concepts, algorithms, and data analysis, with the ability to bridge the gap between technical teams and product goals.
Demonstrated ability to work with large-scale data sets and deploy ML models in production environments.
Skilled in critical thinking and problem-solving with a focus on delivering user-first solutions.

Nice To Haves

Background in gaming-focused advertising.
A passion for working with teammates to champion bold ideas and deliver impactful results that resonate with users.

Responsibilities

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 multi-functional teams to implement and refine machine learning 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.