Technical Program Manager, Generative AI, Search

Technical Program Manager, Generative AI, Search at Google

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.

As a Search AI Technical Program Manager, you will drive planning and execution. You will also work on priority programs including next-generation search ranking page (SRP) experiences, evolving industry quality and trust systems, artificial intelligence/machine learning (AI/ML) modeling, or AI raters.

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.

Minimum qualifications:

• Bachelor's degree in a technical field or equivalent practical experience.
• 5 years of experience in program management.
• Experience managing machine learning or artificial intelligence programs.
• Experience in software development, evaluation methodologies, or machine learning models.

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
• Experience in communicating technical concepts to non-technical audiences.
• Experience in high performance serving systems.
• Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, or deep learning.
• Experience with quantitative analysis, cost-effectiveness assessment techniques, and data quality metrics for AI products.

Responsibilities:

• Define, scope, and manage AI projects and ensure timely delivery and adherence to scope.
• Build detailed project plans, track progress, manage risks, and implement mitigation strategies.
• Collaborate with other teams which work on AI projects, ensuring synergy through coordinated timelines, dependencies, and deliverables.
• Identify and resolve blockers and escalate issues when necessary.
• Communicate project status and updates to stakeholders regularly.
• Facilitate meetings and reviews to drive decision making and alignment.
• Introduce best practices for reproducibility, data/model versioning, experimentation tracking, and agile methodology in a dynamic environment.

Key skills/competency

• Program Management
• Generative AI
• Machine Learning
• Artificial Intelligence
• Cross-functional Leadership
• Project Planning
• Risk Management
• Software Development
• Data Quality Metrics
• TensorFlow