Job Description

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or a related technical role.
• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications

• Master's degree in a technology or business related field.
• 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
• Experience in customer incentive platforms, promotional engines, loyalty/rewards systems, billing/fintech, growth engineering, or business generation mechanics.
• Experience managing ambiguity, proactively anticipating technical or operational roadblocks, and turning complex platform constraints into seamless customer experiences.
• Practical proficiency in leveraging generative AI tools and agents for deep product research, market synthesis, user journey mapping, and rapid feature prototyping.

About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

As a Product Manager on the Incentives and Growth Platforms team, you will own the end-to-end product goal, technical strategy, and execution for core customer incentive and reward charters across the customer lifecycle. You will manage complex challenges at the intersection of behavioral economics, growth engineering, conversational AI, recommendation engines, partner platforms, and fraud/risk. This is a high-visibility role where you require strong product instincts, technical depth, and the ability to rally cross-functional stakeholders (Engineering, UX, Product Marketing, Data Science, Operations, and Risk) around a clear product point of view and infrastructure.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Responsibilities

• Serve as the central product leader uniting cross-functional partners—including Software Engineering, UX/Design, Product Marketing, Customer Operations, Data Science, and Trust and Safety/Risk.
• Lead the proactive use of AI tools and reasoning models to conduct deep quantitative and market research, analyze user journeys, test behavioral hypotheses, and rapidly prototype novel incentive mechanics and conversational workflows.
• Own the multi-quarter strategy and technical roadmap for core customer incentive and reward charters, aligning product bets with broader business growth, customer retaining, and payback goals.
• Design robust MCP tool schemas and API interfaces that empower autonomous agents and conversational assistants to deliver personalized promotional recommendations.
• Design and execute rigorous A/B testing and flighting strategies to evaluate hypotheses, measure causal incrementality, and analyze redemption vs. breakage economics.