Staff Product Manager, Vector

Unity Technologies

22h

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 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.

Requirements

6+ years of product management experience, including 3+ years leading technical or ML-driven products.
Strong experience working in mobile advertising, particularly in 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.

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 ML 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.