Global Product Lead, AI Transformation

Google•Mountain View, CA

8h•$148,000 - $216,000

About The Position

In this role, you will partner closely with the Product, Engineering, Sales, Marketing, and Program Management teams to deeply understand user pain points, form business requirements, and prioritize solutions to influence the direction of product development and launch. You will lead the charge in forward-deploying AI into the Revenue Strategy Organization (RSO), identifying current manual use cases and transforming them into intelligent, AI-enabled solutions and workflows. In this cross-functional role, you will be a dynamic leader where you will be given significant autonomy and ownership over your work which will have a lasting impact on the future of Google Ads.Google Customer Solutions (GCS) sales teams are trusted advisors and sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Requirements

Bachelor’s degree or equivalent practical experience.
6 years of experience in product or program management.
Experience with data analysis and data tools (e.g., SQL, MySQL, Tableau, etc.).
Experience working with system design and product design.

Nice To Haves

Experience implementing technical solutions and managing the product development life-cycle.
Experience with data-driven analysis and reporting.
Ability to manage multiple stakeholders.
Strong written and verbal communication skills.

Responsibilities

Develop, test, and drive the application of AI-driven solutions that transform how technical systems and sales strategies intersect.
Define a clear goal for your area, identifying where manual processes are slowing us down and where we need to go to drive a fully AI-enabled operational roadmap.
Identify gaps in current solutions where AI can create efficiencies or breakthroughs, prioritize those needs and craft strong business cases to validate the importance of new AI feature requests.
Translate business requirements for AI solutions to Product Management and Engineering teams, acting as the translator between business operations and technical product development.
Derive critical insights from product metrics, customer feedback, and operational data to identify prime opportunities for AI intervention, while partnering with executive leadership and cross-functional global stakeholders to understand and prioritize business needs.