Senior TPM, AI-Driven Ads Sales Platform

Google LLC; Mountain View (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Google LLC in Mountain View, CA is seeking a Technical Program Manager III to lead complex, multi-disciplinary programs within the Sales Platform for Google Ads. You will coordinate across engineering, product, and sales to shape requirements and timelines.

You’ll communicate analyses and recommendations to executives, balance tradeoffs with engineers, and drive AI-powered initiatives that improve productivity, automation, and customer outcomes at scale.

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 5 years of program management experience.
• Experience with enterprise applications.
• Experience leveraging AI tools for productivity and automation.

Responsibilities

• Partner with cross-functional stakeholders in engineering, product, and UX to own, define and execute on the road-map for the Ads sales offering and capabilities.
• Use technical judgment to drive project direction, influence stakeholders, challenge proposals and build consensus across teams.
• Build up a deep understanding of the Sales Platform portfolio of products, its underlying AI technologies, and contribute to both technical and product decision making.
• Exercise technical judgment to keep goals for programs, projects and products attainable within a given timeline.
• Influence and manage the creation of new feature development.

Skills

Program management

AI tools for productivity

Enterprise applications

Education

Bachelor's degree in a technical field, or equivalent practical experience

Tools

CRM tools

Job description

Google LLC in Mountain View, CA is seeking a Technical Program Manager III to lead complex, multi-disciplinary programs within the Sales Platform for Google Ads. You will coordinate across engineering, product, and sales to shape requirements and timelines.

You’ll communicate analyses and recommendations to executives, balance tradeoffs with engineers, and drive AI-powered initiatives that improve productivity, automation, and customer outcomes at scale.