Program Manager II, AI Transformation, Core

Google•San Jose, CA

1d•$132,000 - $189,000

About The Position

As Program Manager on Google’s Artificial Intelligence (AI) Education team, you will drive operational delivery, cross-functional execution, and technical release cadences across In-Flow Learning and Out-of-Flow platform ecosystems. You will act as the operational bridge between Engineering, Product Management, Technical Writing, and Learning Design, keeping agile sprint cycles moving predictably and managing cross-product area intake with partner teams across Core, People Operations, Cloud, and DeepMind. The Core team builds the technical foundation behind Google’s flagship products, including underlying design elements, developer platforms, product components, and infrastructure. It develops central solutions, breaks down technical barriers, and strengthens systems across Google’s products.

Requirements

Bachelor's degree or equivalent practical experience.
2 years of experience in program or project management.
Experience using Artificial Intelligence or Machine Learning (AI/ML) tools or incorporating generative AI into daily workflows.
Experience building and deploying custom Artificial Intelligence (AI)-driven utilities, tools, or workflows.

Nice To Haves

2 years of experience managing cross-functional or cross-team projects.
Experience with developer tooling, personalization systems, content management platforms, or community-driven technical enablement programs.
Experience with developer tools, coding environments, or agentic systems.

Responsibilities

Manage technical milestones, integration, and testing for learning agents embedded inside Google developer tools and workflow surfaces.
Triage incoming requests and co-development dependencies from partner Product Areas (Core, People Ops, GBO, Cloud, DeepMind), communicating delivery timelines and status clearly.
Coordinate bi-weekly sprint cadences, unblock dependencies, and manage release schedules across engineering pods building In-Flow agents, Course Weaver, Learner Profile, and the Course Index.
Track program health metrics, tool adoption, course generation throughput, and user engagement data to deliver weekly operational updates for team leads.
Build operational automations, status trackers, and lightweight dashboards using Artificial Intelligence tools to reduce manual operational overhead.