Technical Program Manager III, Software Development, Search.

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.
• Experience with product lifecycle management.

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
• Experience with AI algorithms.

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

The Contextual Search team’s mission is to grow Search by unlocking the power of visual and contextual understanding to answer user questions, making context a default part of the Search experience.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Drive the end-to-end roadmaps for contextual search experiences across search and chrome product areas.
• Leverage AI tools to solve program problems and improve team efficiency and efficacy.
• Introduce new processes, best practices, and playbooks to continuously improve and scale development in a measurable way.
• Collaborate closely with teams across search and chrome ensuring coordinated timelines, dependencies, and deliverables.
• Develop a deep understanding of the technical landscape of your programs, enabling you to partner closely with engineering to proactively identify and resolve blockers and escalate issues when necessary.