Argomenti trattati
The role described brings together product leadership, engineering coordination, and applied artificial intelligence to advance consumer health experiences. As a technical program manager, you will direct complex, cross-discipline initiatives that span software, hardware, and research. This position is based in Mountain View and sits inside a team that merges the capabilities of cloud services, on-device compute, and user-facing applications to deliver meaningful health guidance. The work focuses on building features powered by machine learning and Generative AI while ensuring those features integrate cleanly with first-party devices and mobile platforms.
In practical terms, the role asks for strong program discipline and enough technical fluency to evaluate tradeoffs in system design. Candidates should demonstrate experience with health or consumer electronics projects—especially those that touch wearable sensors. You will synthesize requirements, create and maintain roadmaps, and communicate status and risks across executives, engineers, and researchers. The team’s ambition is to turn data and models into reliable user experiences that help people understand and manage their health.
Who this role is for
Minimum qualifications
Applicants are expected to hold a technical bachelor’s degree or equivalent experience and have at least two years in program management roles. Practical exposure to artificial intelligence or machine learning projects, tooling, or infrastructure is essential, along with prior work in health, consumer electronics, or wearable technology. Familiarity with the software development lifecycle for mobile applications or backend services helps you translate engineering needs into deliverables. Equally important are excellent written and verbal communication skills and the ability to articulate technical tradeoffs to both engineers and non-technical stakeholders.
Preferred qualifications
Preferred candidates will bring additional experience managing complex, cross-team efforts and a background in health, wellness, or consumer device ecosystems. Two or more years coordinating multi-team programs is advantageous, as is comfort with the entire stack from data collection to user-facing features. The role values problem-solving rigor, autonomy, and the capacity to guide teams through ambiguity while keeping schedules and milestones on track.
What you will do
Your day-to-day responsibilities include building alignment across teams, defining workstreams and milestones, and owning project plans and dependency tracking for AI-driven health features. You will identify technical risks and blockers and drive mitigation plans, facilitating technical discussions to ensure engineering, product, and research teams converge on design and implementation choices. Applying technical judgment to understand system architecture and data flows will be central to preventing integration issues between models, services, and devices.
Beyond coordination, you will advocate for product quality and regulatory considerations that often accompany health-related features. The role requires translating experimental research outputs into production-ready components, coordinating model evaluation, and partnering with privacy, security, and platform teams to align on safe deployment strategies.
Technical environment and adjacent roles
Platforms, devices, and embedded software
The Platforms and Devices organization covers a broad set of environments—from desktop and mobile to first-party wearables. Engineers on these teams work on embedded subsystems that include device bring-up, power and thermal management, sensor integration, drivers, and user interfaces. Familiarity with languages like C and C++ for low-level work, and Python for tooling and validation, is common. Knowledge of embedded operating systems and device/kernel drivers supports realistic planning when software must interact tightly with hardware components on Fitbit and Pixel Watch form factors.
Collaboration and product scope
Teams produce experiences that must scale from individual devices to cloud analytics. You will coordinate across UI/UX designers, firmware and backend engineers, data scientists, and compliance teams to deliver features that feel seamless to users. The capability to read technical designs and assess integration effort—while keeping product timelines and stakeholder priorities balanced—is vital.
Compensation and hiring notes
The listed US base salary for this full-time position ranges from $138,000 to $198,000, with additional compensation through bonus, equity, and benefits. The posted range reflects base pay only; actual offer amounts vary by location, experience, and role level. Candidates will receive more specific salary details during the hiring process from their recruiter. Google provides a comprehensive benefits package and information about those benefits is available through official channels.
Google is an equal opportunity employer and emphasizes inclusive hiring practices. Reasonable accommodations are available during the application process via the company accommodations form. English proficiency is required for this role to enable global collaboration. Finally, Google does not accept unsolicited agency resumes; please do not forward candidate materials through external recruiters.