Technical Program Manager I, AI/ML, Platform and Devices

Google•Mountain View, CA

4d•$116,000 - $165,000

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. In this role, you will be working with the Google Health team to drive the comprehensive evaluation strategy for the Personal Health Agent that uses Generative Artificial Intelligence (GenAI). With the power of ML/AI and the knowledge of Google tools and technologies, our goal is to help our users understand their overall health and provide guidance for how to maintain a healthy lifestyle. The Health Platforms and Devices team builds innovative products and services that help our users live longer, healthier lives. We bring together the best of Google technologies and AI, health behavior science, and user-centered design to help users organize the health and wellness data, get insight from it, and take action toward their health goals. We do this with a suite of apps, services, and health wearables. We aim to make consumer health more personal, proactive, and actionable.

Requirements

Bachelor's degree in a technical field, or equivalent practical experience.
1 year of experience in program management.
Experience with artificial intelligence/machine learning projects, tools, or infrastructure.
Experience in consumer electronics, or wearables technologies.

Nice To Haves

3 years of experience in program management.
Familiarity with hardware and software development cycles and processes that ensure successful product launch or go-to-market execution.
Understanding of ML/AI principles and evaluations, and their distinctions from traditional software development.
Ability to be an influential member of a highly integrated team composed of both technical and non-technical members.
Ability to execute, prioritize, and influence multiple complex, rapidly changing programs involving teams.

Responsibilities

Maintain GenAI model evaluation workflows by coordinating test execution and managing evaluation logistics alongside research scientists and engineers.
Track program health and evaluation metrics to identify risks, blockers, and changing timelines early, working alongside technical leads to triage issues.
Maintain and clearly communicate project status, dependencies, risks, action items, and documentation in a timely manner to team members and immediate cross-functional stakeholders.
Contribute to team operational excellence by supporting clear project tracking mechanisms, meeting rhythms, and a collaborative team culture built on trust and respect.
Collaborate with cross-functional partners, including product management, engineering, research, design, UX, clinical, and regulatory, to track requirements, maintain project schedules, and monitor deliverables and launch readiness criteria.