Senior Technical Program Manager III, AI/ML, Google Ads

Google•Pittsburgh, PA

11d•$192,000 - $278,000

About The Position

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 SAGE (Search Ads and Ads on Google Experiences) team is dedicated to creating highly useful, intuitive, and beautiful commercial experiences for billions of users across Search and other surfaces. We apply the latest research, working with partners across Google, to solve complex technical challenges that shape the next era of Google's advertising products. Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business. Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Requirements

Bachelor's degree in a technical field, or equivalent practical experience.
8 years of experience in program management.
Experience with AI/ML.
Experience in large language model training.

Nice To Haves

8 years of experience managing cross-functional or cross-team projects.
Experience in Ads platforms.
Experience with the software development lifecycle, integration testing, and ML pipeline management.
Demonstrated experience in technical project management, addressing and solving complex problems in machine learning, generative modeling, or applied research.
Firm sense of accountability and ownership for the end-to-end project lifecycle, with the ability to translate complex research concepts into actionable engineering plans.

Responsibilities

Be responsible for the development and execution of feature planning, prioritization, and operations for generative modeling and applied research initiatives.
Partner closely with advanced research teams (e.g., DeepMind) to transition applied research into production and solve SAGE's hardest technical challenges.
Establish the necessary programs and one-off projects for the team to plan and execute in order for the generative modeling product area to be successful.
Manage day-to-day resource requirements (including ML compute/TPU capacity), risks, and priorities.
Interface with other product, engineering, and research teams within Ads to develop actionable execution plans.