Join Google as a Product Manager focused on Customer Incentives and Growth Platforms. This pivotal role involves guiding products from initial concept through to launch, bridging the gap between technical and business objectives. You'll tackle complex challenges at the intersection of behavioral economics, growth engineering, AI, and partner platforms, shaping technologies that impact millions globally.

This position is key to driving innovation within Google Ads, leveraging advanced AI and machine learning models. You will collaborate closely with engineering, UX, marketing, and data science teams to develop and enhance user-facing features. The role requires a strong product vision and the ability to align diverse stakeholders towards a common goal, contributing to the next generation of advertising technology.

As a Product Manager, you will serve as the primary product leader, uniting cross-functional partners including Software Engineering, UX/Design, Product Marketing, Customer Operations, Data Science, and Trust and Safety/Risk. You will proactively use AI tools and reasoning models for deep quantitative and market research, analyze user journeys, test behavioral hypotheses, and rapidly prototype new incentive mechanics and conversational workflows.

Own the multi-quarter strategy and technical roadmap for core customer incentive and reward initiatives. This includes designing robust MCP tool schemas and API interfaces to empower autonomous agents and conversational assistants for personalized recommendations. You will also design and execute rigorous A/B testing and flighting strategies to evaluate hypotheses, measure causal incrementality, and analyze redemption vs. breakage economics.

A Bachelor's degree or equivalent practical experience is required, along with a minimum of 5 years in product management or a related technical field. You should have 2 years of experience successfully taking technical products from conception to launch.

Experience integrating generative AI tools or LLM interfaces into workflows is essential. Preferred qualifications include a Master's degree in a technology or business-related field, 3 years of experience in a business function such as strategic marketing or operations, and experience with customer incentive platforms, growth engineering, or business generation mechanics. Proficiency in leveraging generative AI for product research and prototyping is highly valued.