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 AI Platform Empowering X (APEX) team's mission is to accelerate and ensure the quality of the AI development lifecycle for Android and Pixel. We focus on building the evaluation infrastructure, data pipelines, and internationalization strategies that power Google's on-device AI experiences.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities

• Collaborate with cross-functional Technical Program Managers to drive model and product evaluation workstreams.

• Oversee data operations critical to model training, Internationalization, including defining, curating, and iteratively improving datasets.

• Act as a focal point for leadership communication regarding cross-team engagements.

• Facilitate interactions across teams and hardware stacks.

• Support the project management needs of APEX engineering team, including planning, prioritization, and process definition.

Minimum qualifications

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.

• 5 years of experience in program management.

• 5 years of experience in managing the software development lifecycle (SDLC) for AI/ML/Data based technical products.

• Experience in Artificial Intelligence/Machine Learning (AI/ML).

Preferred qualifications

• 5 years of experience managing cross-functional or cross-team projects.

• Experience managing complex data operations critical to LLM training, including defining, curating, and evaluating large-scale datasets.

• Experience overseeing operations and expansion strategies for global AI product launches.

• Familiarity with AI infrastructure and compute resources, such as TPU resource management and utilization tracking.

• Ability to navigate high levels of ambiguity and drive execution among complex, cross-functional stakeholder structures.

• Excellent executive-level alignment and communication skills.