Technical Program Manager III, AI/ML, Cloud AI Systems
Company: Google
Location: Cupertino
Posted on: January 10, 2026
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Job Description:
Minimum qualifications: Bachelors degree in a technical field,
or equivalent practical experience. 5 years of experience in
program management. Experience managing machine learning or
artificial intelligence programs. Preferred qualifications: 5 years
of experience managing cross-functional and cross-team projects.
Experience with quantitative analysis, cost-effectiveness
assessment techniques, and data quality metrics for AI products.
Experience with machine learning algorithms and tools (e.g.
TensorFlow), artificial intelligence, or deep learning. Experience
in large-scale high performance serving systems. Experience in
communicating technical concepts to non-technical audiences. 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. Youre equally
comfortable explaining your teams analyses and recommendations to
executives as you are discussing the technical tradeoffs in product
development with engineers. As a Technical Program Manager for
MSCA, youll be instrumental in optimizing machine learning
performance. Youll work closely with cross-functional partners to
deliver groundbreaking ML/AI solutions, and play a pivotal role in
shaping our technology roadmaps. The AI and Infrastructure team
works on the world’s toughest problems, redefining what’s possible
and the possible easy. We empower Google customers by delivering AI
and Infrastructure at unparalleled scale, efficiency, reliability
and velocity. Our customers include Googlers, Googler Cloud
customers, and billions of Google users worldwide. We’re at the
center of amazing work at Google by being the “flywheel” that
enables our advanced AI models, delivers computing power across
global services, and offers platforms that developers use to build
services. In AI and Infrastructure, we shape the future of
hyperscale computing by inventing and creating world-leading future
technology, and drive global impact by contributing to Google
infrastructure, from software to hardware (including building
Vertex AI for Google Cloud). We work on complex technologies at a
global scale with key players in the AI and systems space. Join a
team of talented individuals who not only work together to keep
data centers operating efficiently but also create a legacy of
driving innovation by building some of the most complex systems
technologies. The US base salary range for this full-time position
is $156,000-$229,000 bonus equity benefits. Our salary ranges are
determined by role, level, and location. Within the range,
individual pay is determined by work location and additional
factors, including job-related skills, experience, and relevant
education or training. Your recruiter can share more about the
specific salary range for your preferred location during the hiring
process. Please note that the compensation details listed in US
role postings reflect the base salary only, and do not include
bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities Understand technical challenges from our users and
work with the teams to prioritize and enable large-scale adoption.
Prioritize program goals, understand and translate other
stakeholders needs into program goals and prioritized deliverables
with minimal assistance, and contribute to decisions on
prioritizing goals and deliverables. Exercise independent judgment
and develop recommendations that translate into a course of action.
Deliver critical pieces of analysis and use these to drive new
insights and uncover improvement opportunities, identifying and
implementing large-scale measurable and scalable solutions for
Machine learning projects. Build, maintain and enhance business,
operational, and management dashboards.
Keywords: Google, Vallejo , Technical Program Manager III, AI/ML, Cloud AI Systems, IT / Software / Systems , Cupertino, California
