AI-Driven Solutions Lead

Google; Sunnyvale (CA); On-site; USD 140,000 - 205,000; Full time

Job summary

Google’s gTech team is seeking a senior Program/Project Delivery lead to manage end-to-end initiatives across AI-first self-service, premium human support, and knowledge centers. You will coordinate with product managers, engineers, and business stakeholders to drive measurable outcomes and seamless user experiences.

You will embed in product pods, stewarding a prioritized backlog, collaborating across Analytics, Legal, Security, and Product Engineering, and ensuring timely delivery with high

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in a project management or a customer-facing role.
• 5 years of related experience in technology, data-analysis and program management.
• Strong problem-solving, ownership and proactive attitude.
• Excellent communication, leadership and stakeholder management skills.

Responsibilities

• Evaluate incoming project requests and manage a unified backlog across AI-first self-service, premium human support, and knowledge centers.
• Collaborate with product managers, engineers, and stakeholders to break down goals into actionable work items.
• Manage end-to-end lifecycle, track progress, remove blockers and raise capacity challenges.
• Act as central hub connecting Analytics, Content, Legal, Security, and Product Engineering, incl. vendor ops.
• Oversee post-launch activity, measure impact, monitor errors, and drive fast-follow implementations.

Skills

Project management

Stakeholder management

Data analysis

Communication

Education

Bachelor’s degree or equivalent practical experience

Job description

Google’s gTech team is seeking a senior Program/Project Delivery lead to manage end-to-end initiatives across AI-first self-service, premium human support, and knowledge centers. You will coordinate with product managers, engineers, and business stakeholders to drive measurable outcomes and seamless user experiences.

You will embed in product pods, stewarding a prioritized backlog, collaborating across Analytics, Legal, Security, and Product Engineering, and ensuring timely delivery with high