Product Manager, Fulfillment Signals

Lead the product vision for fulfillment signals (speeds, costs, returns, same-day delivery) to meet global coverage and precision OKRs.Drive automated data ingestion using ML and LLMs (e.g., Gemini) to extract structured fulfillment details from unstructured sources.Partner with major platforms and logistics carriers to integrate real-time rates and speeds.Build robust quality metrics, suppression logic, and human-in-the-loop/vendor evaluation systems for inferred and crawled data.Integrate fulfillment capabilities into universal cart and agentic commerce while leading cross-functional teams (Engineering, Data Science, BD) through global launches.Minimum qualifications:Bachelor's degree or equivalent practical experience.5 years of experience in product management or related technical role.2 years of experience taking technical products from conception to launch.Experience in e-commerce.Experience in artificial intelligence or machine learning.Preferred qualifications:Master’s degree or PhD in a technology or business related field.3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).3 years of experience in a role preparing and delivering technical presentations to senior leadership.2 years of experience in software development or engineering.2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.1 year of experience in technical leadership. 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.Our team’s mission across Commerce, Shopping, and Travel is to build the ultimate destination for consumers, travelers, and businesses to connect seamlessly throughout their entire journey. As a Product Manager for Fulfillment Signals, you will define and execute the global strategy to acquire and manage delivery and returns data from millions of merchants. You will transition operations from manual configurations to an AI-first approach—extracting shipping speeds, costs, and return policies from sources like emails, checkout logs, LLM-based page crawling, APIs, and user-generated content. Partnering closely with Engineering, Data Science, UX, Business Development, and Go-To-Market teams, you will significantly expand fast delivery coverage and elevate data quality thresholds for shoppers worldwide.Google aims to build products that organize the world's information and make it universally accessible to our users. As a Product Manager at Google, you could be working on new technologies, platforms, consumer facing products, and/or enterprise systems. The end goal will be to match you with the team that best aligns with your interests, experience, and where you will have the most impact.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $236000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree or equivalent practical experience.5 years of experience in product management or related technical role.2 years of experience taking technical products from conception to launch.Experience in e-commerce.Experience in artificial intelligence or machine learning.